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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article"><?properties manuscript?><front><journal-meta><journal-id journal-id-type="nlm-journal-id">8309942</journal-id><journal-id journal-id-type="pubmed-jr-id">1286</journal-id><journal-id journal-id-type="nlm-ta">Am J Emerg Med</journal-id><journal-id journal-id-type="iso-abbrev">Am J Emerg Med</journal-id><journal-title-group><journal-title>The American journal of emergency medicine</journal-title></journal-title-group><issn pub-type="ppub">0735-6757</issn><issn pub-type="epub">1532-8171</issn></journal-meta><article-meta><article-id pub-id-type="pmid">27838036</article-id><article-id pub-id-type="pmc">5177494</article-id><article-id pub-id-type="doi">10.1016/j.ajem.2016.10.066</article-id><article-id pub-id-type="manuscript">HHSPA829192</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Selective Chest Imaging for Blunt Trauma Patients: The National Emergency X-radiography Utilization Studies (NEXUS-Chest Algorithm)</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Rodriguez</surname><given-names>Robert M.</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Hendey</surname><given-names>Gregory W.</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Mower</surname><given-names>William R.</given-names></name><degrees>MD, PhD</degrees><xref ref-type="aff" rid="A3">3</xref></contrib></contrib-group><aff id="A1"><label>1</label>Department of Emergency Medicine, University of California, San Francisco, California, United States of America</aff><aff id="A2"><label>2</label>Department of Emergency Medicine, UCSF Fresno Medical Education and Research, Fresno, California, United States of America</aff><aff id="A3"><label>3</label>Department of Emergency Medicine, University of California, Los Angeles, California, United States of America</aff><author-notes><corresp id="FN1">Corresponding Author: Robert M. Rodriguez, MD, <email>Robert.rodriguez@ucsf.edu</email>, Department of Emergency Medicine, 1001 Potrero Ave, San Francisco, California 94110</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>12</day><month>11</month><year>2016</year></pub-date><pub-date pub-type="epub"><day>29</day><month>10</month><year>2016</year></pub-date><pub-date pub-type="ppub"><month>1</month><year>2017</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>1</month><year>2018</year></pub-date><volume>35</volume><issue>1</issue><fpage>164</fpage><lpage>170</lpage><!--elocation-id from pubmed: 10.1016/j.ajem.2016.10.066--><abstract><p id="P1">Chest imaging plays a prominent role in blunt trauma patient evaluation, but indiscriminate imaging is expensive, may delay care, and unnecessarily exposes patients to potentially harmful ionizing radiation. To improve diagnostic chest imaging utilization, we conducted 3 prospective multicenter studies over 12 years to derive and validate decision instruments (DIs) to guide the use of chest x-ray (CXR) and chest computed tomography (CT).</p><p id="P2">The first DI, NEXUS Chest x-ray, consists of seven criteria (Age &#x0003e; 60 years; rapid deceleration mechanism; chest pain; intoxication; altered mental status; distracting painful injury; and chest wall tenderness) and exhibits a sensitivity of 99.0% (95% confidence interval [CI] 98.2-99.4%) and a specificity of 13.3% (95% CI, 12.6%-14.0%) for detecting clinically significant injuries.</p><p id="P3">We developed two NEXUS Chest CT DIs, which are both highly reliable in detecting clinically major injuries (sensitivity of 99.2%; 95% CI 95.4-100%). Designed primarily to focus on detecting major injuries, the NEXUS Chest CT-Major DI consists of six criteria (abnormal CXR; distracting injury; chest wall tenderness; sternal tenderness; thoracic spine tenderness; and scapular tenderness) and exhibits higher specificity (37.9%; 95% CI 35.8&#x02013;40.1%). Designed to reliability detect both major and minor injuries (sensitivity 95.4%; 95% CI 93.6&#x02013;96.9%) with resulting lower specificity (25.5%; 95% CI 23.5&#x02013;27.5%), the NEXUS CT-All rule consists of seven elements (the six NEXUS CT-Major criteria plus rapid deceleration mechanism).</p><p id="P4">The purpose of this review is to synthesize the three DIs into a novel, cohesive summary algorithm with practical implementation recommendations to guide selective chest imaging in adult blunt trauma patients.</p></abstract></article-meta></front><body><sec id="S1"><title>Background</title><p id="P5">Chest imaging is currently recommended in the evaluation of all blunt trauma patients who present with a concerning mechanism of injury. As a consequence, chest x-ray (CXR) imaging has become a reflexive test, often ordered regardless of clinical signs of injury.<sup><xref rid="R1" ref-type="bibr">1</xref>-<xref rid="R2" ref-type="bibr">2</xref></sup> In fact, the CXR is the most common imaging study performed in blunt trauma patients.<sup><xref rid="R3" ref-type="bibr">3</xref></sup></p><p id="P6">The use of chest computed tomography (CT) has increased in spite of stable injury prevalence rates.<sup><xref rid="R4" ref-type="bibr">4</xref>-<xref rid="R6" ref-type="bibr">6</xref></sup> The push for head-to-pelvis CT (pan-scan) has similarly fueled an increased in utilization of CT in adult blunt trauma diagnostic protocols.<sup><xref rid="R7" ref-type="bibr">7</xref>-<xref rid="R10" ref-type="bibr">10</xref></sup> Such routine ordering, however, may lead to expensive, low-yield, inefficient care and expose patients to unnecessary radiation exposure.<sup><xref rid="R11" ref-type="bibr">11</xref>-<xref rid="R17" ref-type="bibr">17</xref></sup> For example, when performed after a normal CXR, chest CT diagnoses only one major injury for every 67 studies.<sup><xref rid="R13" ref-type="bibr">13</xref></sup> This practice generates approximately $220,000 in radiographic charges and may induce as many as one lethal malignancy for every 11 major injury diagnoses.<sup><xref rid="R12" ref-type="bibr">12</xref>-<xref rid="R19" ref-type="bibr">19</xref></sup></p><p id="P7">Order sets that include indiscriminate imaging have been shown to increase the costs, and in some cases, risk to patients.<sup><xref rid="R20" ref-type="bibr">20</xref></sup> Median charges for chest x-ray in 2013 are $298 per examination, while median charges for chest CT are $3,294 per patient.<sup><xref rid="R13" ref-type="bibr">13</xref>,<xref rid="R21" ref-type="bibr">21</xref></sup> Potential risks include harmful effects from ionizing radiation exposure, as well as potential renal injury and allergic reactions from intravenous contrast.<sup><xref rid="R22" ref-type="bibr">22</xref></sup> While CXR delivers negligible amounts of radiation, chest CT exposes the patient to a considerable effective radiation dose (ERD) and cancer induction risk, especially for women. Chest CT delivers approximately 8.9 mSv, which is estimated to induce one lethal cancer among every 650 exposed 40 year old women.<sup><xref rid="R12" ref-type="bibr">12</xref></sup> Although newer CT scan protocols may deliver lower ERD (approximately 5 mSv), lethal malignant transformation rates are higher among younger patients who comprise trauma populations.<sup><xref rid="R15" ref-type="bibr">15</xref>,<xref rid="R18" ref-type="bibr">18</xref>,<xref rid="R19" ref-type="bibr">19</xref></sup></p><p id="P8">With these principles of cancer induction risk, expense, and resource utilization in mind, we have examined the issue of blunt trauma chest imaging in 5 prospective studies conducted over the past 12 years.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R13" ref-type="bibr">13</xref>,<xref rid="R23" ref-type="bibr">23</xref>-<xref rid="R26" ref-type="bibr">26</xref></sup> With the ultimate goals of reducing unnecessary imaging and producing more efficient protocols for blunt trauma chest imaging, we prospectively enrolled over 24,000 adult blunt trauma victims at 10 Level 1 trauma centers. The purpose of this review of our previously published work is to synthesize the three resulting decision instruments into a cohesive summary algorithm with practical implementation recommendations to guide selective imaging in adult blunt chest trauma patients.</p></sec><sec sec-type="methods" id="S2"><title>Methods</title><p id="P9">We began our chest imaging DI work in 2003, when chest CT was less commonly utilized. We therefore initially directed our efforts at reducing unnecessary CXR in a manner similar to the original NEXUS and Canadian cervical spine studies, which looked primarily at patients with plain radiography of the cervical spine.<sup><xref rid="R27" ref-type="bibr">27</xref>,<xref rid="R28" ref-type="bibr">28</xref></sup> While deriving and validating a rule for selective CXR, we recognized the movement toward greater use of chest CT,<sup><xref rid="R7" ref-type="bibr">7</xref>.<xref rid="R8" ref-type="bibr">8</xref>.<xref rid="R9" ref-type="bibr">9</xref>.<xref rid="R10" ref-type="bibr">10</xref></sup> and later sought to develop a rule for selective use of chest CT.<sup><xref rid="R3" ref-type="bibr">3</xref></sup></p><p id="P10">Our DIs were developed as one-way directive instruments intended to reduce the reflexive, nearly universal use of chest imaging in blunt trauma patients. Adhering to the principles for clinical decision rule development put forth by Stiell, et al <sup><xref rid="R29" ref-type="bibr">29</xref></sup>, we employed consistent core methodology in all of our pilot, derivation and validation studies.<sup><xref rid="R29" ref-type="bibr">29</xref>,<xref rid="R30" ref-type="bibr">30</xref></sup> After our pilot study at 3 trauma centers, we conducted our 4 primary studies at 10 urban Level 1 trauma centers, prospectively enrolling patients with the following inclusion criteria: 1) age over 14 years, 2) presentation to the ED for blunt trauma that occurred within 6 hours of arrival, and 3) consistent with our objective to derive one-way rules--having chest imaging (either CXR or chest CT) ordered in the ED as part of their trauma evaluation.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R23" ref-type="bibr">23</xref>,<xref rid="R24" ref-type="bibr">24</xref></sup> We focused our enrollment primarily to daytime hours according to research personnel availability.</p><sec id="S3"><title>Candidate criteria</title><p id="P11">By reviewing literature and investigator consensus, we generated lists of DI candidate criteria and refined these lists into DIs through prospectively conducted derivation studies. We checked all criteria for inter-rater reliability using dual, independent assessments, ensuring that they met pre-defined kappa thresholds for agreement.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R23" ref-type="bibr">23</xref></sup></p></sec><sec id="S4"><title>Outcomes</title><p id="P12">We defined all injuries according to official radiologist interpretations. In order to assess the clinical impact of injuries, we convened a priori expert trauma clinician panels to classify injuries seen on chest and thoracic imaging into major, minor and no clinical significance categories. See <xref rid="T1" ref-type="table">Table 1</xref> for this classification. We followed enrolled patients through their hospital course, abstracting outcome data by recommended chart abstraction guidelines and checked subsets of data to confirm inter-abstractor consistency and agreement.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R23" ref-type="bibr">23</xref>,<xref rid="R24" ref-type="bibr">24</xref>,<xref rid="R30" ref-type="bibr">30</xref></sup></p></sec><sec id="S5"><title>Controls for bias</title><p id="P13">Systematically enrolling groups of patients who did not receive imaging or who were not admitted to the hospital, we controlled and checked our work extensively for the introduction of spectrum bias and follow-up bias. We also followed patients whose initial ED imaging was negative to see if they were later diagnosed with injury.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R24" ref-type="bibr">24</xref></sup></p></sec><sec id="S6"><title>Analyses</title><p id="P14">Considering that clinicians prefer directive rules over rating scales, we primarily focused on the development of DIs that rule out injury and eliminate the need for imaging (identification of patients who are at very low risk for injury seen on imaging). In terms of statistical analyses, we therefore used classification tree (binary recursive partitioning) techniques to derive our primary DIs.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R23" ref-type="bibr">23</xref></sup> When determining acceptable DI sensitivity thresholds, we weighed the risks of missed injury against the costs and radiation exposure associated with imaging. Under this premise, we sought a very high sensitivity rule (very low miss rate) for all injuries for CXR. Given that the risks and costs of chest CT are exponentially greater, we accepted a lower DI sensitivity for clinically minor injuries in our CT DIs. Considering its high associated morbidity and mortality, we targeted a 100% sensitivity for aortic or great vessel injury in all our DIs, such that a missed aortic or great vessel injury would render any DI unacceptable.</p><p id="P15">For our CT DIs, we paid special attention to the issue of widely disparate viewpoints on the need to diagnose clinically minor injuries.<sup><xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R31" ref-type="bibr">31</xref></sup> Some clinicians believe that it is important to detect all (or nearly all) injuries, even if they do not result in interventions or significant changes in management.<sup><xref rid="R10" ref-type="bibr">10</xref></sup> Others do not believe it is necessary to diagnose injuries that do not change management.<sup><xref rid="R31" ref-type="bibr">31</xref></sup> Respecting both viewpoints, we developed two chest CT DIs&#x02014;one with very high sensitivity for major and minor injury, and the other with very high sensitivity for major injury only.<sup><xref rid="R3" ref-type="bibr">3</xref></sup></p><p id="P16">In our validation studies, we adhered strictly to recommended DI development guidelines and evaluated DI performance prospectively on separate, independent cohorts.<sup><xref rid="R29" ref-type="bibr">29</xref></sup> We calculated screening performance characteristics for our DIs in these samples using the following 2 &#x000d7;2 table definitions: True positive = one or more DI criteria, and injury present; True negative = no DI criteria, and no injury; False positive = one or more DI criteria present, but no injury; and False negative = no DI criteria, but injury present. In order to diminish the impact of variations in injury prevalence, we focused our analyses on sensitivity (high injury detection rate) and specificity (avoidance of non-diagnostic studies) instead of negative and positive predictive value.</p></sec><sec id="S7"><title>Analyses for assistive DIs</title><p id="P17">Recognizing that clinicians may also seek risk stratification information, especially in patients who did not rule out for injury by the DIs, we analyzed data to provide assistive guidance for both CXR and chest CT. We determined the screening performance for injury of individual criteria and the prevalence of injury information when one or more criteria are present.<sup><xref rid="R26" ref-type="bibr">26</xref>,<xref rid="R32" ref-type="bibr">32</xref></sup></p></sec><sec id="S8"><title>Sample size considerations</title><p id="P18">Our validation sample size calculations were driven by the need to attain narrow confidence intervals around point estimates of high sensitivity thresholds for injury. For our initial CXR DI, we determined that we needed to enroll 9,718 patients and for our NEXUS Chest CT DIs, we needed 9,577 patients.</p></sec></sec><sec sec-type="results" id="S9"><title>Results</title><p id="P19">We enrolled 24,010 patients in our four cohorts (2,628 for CXR derivation, 9,905 for CXR validation, 6,002 for CT derivation CT, and 5,475 for CT validation) and found similar patient characteristics in each group. See <xref rid="T2" ref-type="table">Table 2</xref> for a summary of patient characteristics.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R23" ref-type="bibr">23</xref>,<xref rid="R24" ref-type="bibr">24</xref></sup></p><p id="P20">For selective initial chest imaging (CXR), we derived and validated NEXUS Chest, which consists of 1) age &#x0003e; 60; 2) rapid deceleration mechanism (explicitly defined as fall &#x0003e; 20 feet or motorized vehicle accident &#x0003e; 40 miles per hour); 3) chest pain; 4) intoxication; 5) distracting injury; 6) tenderness to chest wall palpation; and 7) abnormal alertness/mental status.<sup><xref rid="R23" ref-type="bibr">23</xref>,<xref rid="R24" ref-type="bibr">24</xref></sup> In the separate validation cohort, NEXUS Chest had a sensitivity for major injury of 99.7% (95% confidence interval [CI] 98.2-100.0%) and for all injuries of 99.0% (95% CI 98.2-99.4%). NEXUS Chest specificity, however, was low at 13.3% (95% CI, 12.6%-14.0%).<sup><xref rid="R24" ref-type="bibr">24</xref></sup></p><p id="P21">For selective chest CT we considered trauma providers&#x02019; varied minor injury diagnosis thresholds and therefore derived and validated two decision instruments.<sup><xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R31" ref-type="bibr">31</xref></sup> For clinicians who believe it is essential to diagnose all (or nearly all) injuries, we developed NEXUS Chest CT-All, which is highly sensitive for all thoracic injury and consists of 1) abnormal CXR, 2) rapid deceleration mechanism, 3) distracting injury, 4) chest wall tenderness, 5) sternal tenderness, 6) thoracic spine tenderness, and 7) scapular tenderness.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R10" ref-type="bibr">10</xref></sup> For those who only seek to detect injuries that result in interventions or other significant changes in patient management, we developed NEXUS Chest CT-Major, which has the same criteria minus rapid deceleration mechanism<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R31" ref-type="bibr">31</xref></sup>. NEXUS Chest CT-Major retains the very high sensitivity for injuries of major clinical significance 99.2% (95%CI, 95.4%-100%), with a slightly lower minor injury sensitivity of 90.7% (95%CI, 88.3%-92.8%), and a higher specificity of 37.9% (95%CI, 35.8%-40.1%), allowing clinicians to forego CT in a greater percentage of patients.</p><p id="P22">Of note, our three DIs would have detected all of the 38 patients with aortic or great vessel injury (sensitivity 100%; 95% CI 90.8-100%). See <xref rid="T3" ref-type="table">Table 3</xref> for summary validation screening performance characteristics of our three chest imaging DIs.</p><p id="P23">In terms of our assistive guidance for chest CT, we found that abnormal CXR was, by far, the best screening criterion for injury seen on subsequent chest CT (sensitivity for major injury 73.7% [95% CI 68.1-78.6%], specificity 83.9% [95% CI 83.6-84.2]).<sup><xref rid="R26" ref-type="bibr">26</xref>,<xref rid="R32" ref-type="bibr">32</xref></sup> Distracting injury (11.5%), rapid deceleration mechanism (9.0%), and abnormal CXR (3.1%) were the criteria that most frequently occurred in isolation. The presence of any single clinical criterion (other than abnormal CXR) was associated with low prevalence of injury 16.8% (95% CI 15.2-18.6) and clinically significant injury 1.1% (95% CI 0.1-1.8). Injury prevalence increased with an increasing number of criteria present. See <xref rid="T4" ref-type="table">Table 4</xref> for likelihood of injury with individual and combinations of criteria.<sup><xref rid="R26" ref-type="bibr">26</xref>,<xref rid="R32" ref-type="bibr">32</xref></sup></p></sec><sec id="S10"><title>Limitations</title><p id="P24">Although we used convenience (daytime) sampling, non-enrollment hour patient characteristics were similar and nighttime sampling would be unlikely to change our findings.<sup><xref rid="R23" ref-type="bibr">23</xref></sup> All study sites were Level 1 trauma center teaching hospitals with many resident physician trauma providers. Nonetheless, all of our criteria are very simple elements of physical exam and history that demonstrated high levels of inter-rater reliability and can likely be assessed easily by a broad range of clinicians. Similarly, our algorithms are straightforward with an application mode that is familiar to trauma clinicians and has been successfully implemented with other well-known decision rules.</p><p id="P25">The low specificity of our original NEXUS Chest rule limits the potential resource savings from its application. When gauging the risk/benefit ratio of missed thoracic injury versus avoidance of the ionizing radiation of one CXR, we sought very high sensitivity, such that practitioners of all specialties would consider the DI acceptable for use. Our NEXUS Chest CT rules have better specificity, thereby allowing more patients to be effectively ruled out for injury.</p><p id="P26">One of the primary obstacles to broad acceptance and implementation of our DIs (and all trauma imaging decision rules) is the fundamental disagreement regarding the need to diagnose minor injuries. Practitioners commonly disagree about the significance of non-interventional injuries and generally fall into two camps: those who believe that nearly all injuries should be detected, and those who believe that only management-changing injuries are important.<sup><xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R31" ref-type="bibr">31</xref></sup> We attempted to address part of this controversy by convening expert trauma clinician consensus panels (balanced between EM physicians and trauma surgeons), who classified all injuries seen on imaging according to their clinical significance. Understanding that there is no &#x0201c;right&#x0201d; or &#x0201c;wrong&#x0201d; in this debate, we have presented summary algorithms that offer choices to suit the beliefs and preferences of individual practitioners and institutions. Furthermore, addressing this issue from the standpoint of patient-centered practice in one of our satellite studies, we demonstrated that patients wish to discuss risks and costs of CT and are willing to accept a small risk of missed injury in lower risk scenarios.<sup><xref rid="R33" ref-type="bibr">33</xref></sup></p></sec><sec id="S11"><title>Summary Recommendations and Discussion</title><p id="P27">We present our summary algorithm for blunt trauma chest imaging in <xref rid="F1" ref-type="fig">Figure 1</xref>. We wish to emphasize several points from the standpoint of practical implementation. First, it is important to note that although our DIs were derived and validated in broad groups of patients (including severely injured patients), they are generally intended for use in awake, non-intubated, hemodynamically stable blunt trauma patients. In our work we did not address or refute the findings of several groups of investigators, who have reported improved outcomes with pan-scan in severely injured, poly-trauma patients.<sup><xref rid="R7" ref-type="bibr">7</xref>,<xref rid="R8" ref-type="bibr">8</xref>,<xref rid="R9" ref-type="bibr">9</xref>,<xref rid="R34" ref-type="bibr">34</xref></sup> In order to use our NEXUS rules, clinicians must be able to assess whether patients have particular criteria (e.g. chest wall or sternal tenderness), and therefore they are not useful for unconscious patients.</p><p id="P28">Second, we recommend the application of NEXUS Chest in tandem with the NEXUS Cervical Spine rule, with which it shares the common criteria of distracting injury, intoxication and altered level of alertness.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R27" ref-type="bibr">27</xref></sup> If a patient has one of these three criteria, they cannot be ruled out for either cervical spine or chest injury. Similarly, chest wall tenderness should be considered analogous to the midline cervical spine tenderness criterion of the NEXUS Cervical Spine rule.</p><p id="P29">Third, when developing our DIs, we were very cognizant about time pressures and the mental overload that can occur with the need to memorize multiple decision rules. All of our criteria are intuitive elements of trauma history and physical exam, requiring little if any extra provider time or effort. The four physical exam criteria of NEXUS Chest CT (chest wall, sternal, thoracic spine and scapular tenderness) are all elements that are evaluated as part of the typical trauma exam, and for ease of remembering, can be grouped together as thoracic wall tenderness.</p><p id="P30">Fourth, as emphasized in our methods section, we deliberately developed these DIs as one-way rules to identify patients who are at very low risk of injury, and for whom imaging may be safely omitted. These rules are not intended to be used as primary screening tools to determine the need for imaging, but are designed to be used in conjunction with clinical judgment to reduce imaging. In this regard, we recommend that clinicians first decide whether they would order chest imaging according to their clinical impression and initial assessment. If imaging seems appropriate, the DI should be applied to determine whether imaging can be safely omitted. The presence of DI criteria does not mandate chest radiography in patients who would otherwise not be considered for chest imaging -- misapplication of these DIs to other patients who they were not going to image may paradoxically result in increased CXR and chest CT utilization.</p><p id="P31">Patients who are deemed low risk for injury (all criteria absent) by NEXUS Chest are effectively cleared for all chest imaging &#x02013; clinicians may safely forego both CXR and chest CT. In our studies we found that CXR was the best screening criterion for injury seen on chest CT and we therefore advocate for the continued use of portable CXR as the most logical initial modality of chest imaging for most blunt trauma patients.<sup><xref rid="R3" ref-type="bibr">3</xref></sup> If injuries are well characterized by CXR and there is not suspicion for other major injury, further imaging is unnecessary.</p><p id="P32">CXR may miss injuries that are detected by CT, most notably sternal fractures, rib fractures and minor pulmonary contusions, and clinicians may feel the need to obtain the greater anatomic detail provided by chest CT. In such instances, clinicians should then apply the CT-All or CT-Major DI to determine whether advanced imaging is warranted. Ultimately, the decision regarding whether to employ CT-All or CT-Major is based on individual physician preference and risk tolerance. For clinicians who desire very high sensitivity for all injuries, we recommend use of NEXUS CT-All, which should detect nearly all minor and major injuries, but at the cost of increased imaging and its attendant risk and expense.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R10" ref-type="bibr">10</xref></sup> Physicians who want to spare a greater percentage of patients from CT, and thereby reduce costs and radiation exposure, may elect to apply NEXUS CT-Major, which retains the same very high sensitivity for major injuries, but exhibits higher specificity and corresponding greater reduction in CT.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R31" ref-type="bibr">31</xref></sup></p><p id="P33">Patients who exhibit none of the risk criteria in either CT-Major, or CT-All have a very low likelihood of having clinically significant injury. Patients who have normal plain chest radiographs and exhibit only one of the other clinical criteria still have a relatively low risk of injury and may be candidates for an imaging strategy that involves shared decision making. We have demonstrated that most patients prefer to discuss the risks and costs of CT whenever possible and that they will often choose to forego CT in scenarios in which there is a low risk of injury.<sup><xref rid="R33" ref-type="bibr">33</xref></sup> The shared decision model is less suitable for patients who have two or more criteria, and who consequently have an increased risk of injury and greater benefit from diagnostic CT imaging.</p><p id="P34">Finally, we recommend the incorporation of the NEXUS Chest DIs and algorithm as checklists into chart templates and electronic medical records. Clinicians may thereby state that a &#x0201c;patient meets NEXUS Chest low risk criteria for injury&#x0201d; or &#x0201c;patient ruled out for chest injury by NEXUS Chest Imaging Algorithm&#x0201d;.</p><p id="P35">Overall, our work provides clinicians with evidence-based mechanisms to use basic physical exam and history findings, instead of routine imaging, to safely and efficiently rule out injury in appropriate patients. We believe that our DIs and algorithm will save provider and patient time by allowing for the safe avoidance of unnecessary imaging.</p></sec></body><back><ack id="S12"><p>Funded by grants from the Centers for Disease Control and Prevention (RO-1/CE001589-01) and the University of California Center for Health Quality and Innovation (CHQI) (071:2011).</p></ack><fn-group><fn id="FN2" fn-type="con"><p>Author Contributions: All authors formulated the study design and contributed to the article composition. RMR takes responsibility for the paper as a whole.</p></fn><fn fn-type="COI-statement" id="FN3"><p>All authors were required to disclose any and all commercial, financial, and other relationships in any way related to the subject of this article as per ICMJE conflict of interest guidelines (see <ext-link ext-link-type="uri" xlink:href="www.icmje.org">www.icmje.org</ext-link>).</p></fn><fn id="FN4"><p content-type="publisher-disclaimer">This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.</p></fn></fn-group><ref-list><ref id="R1"><label>1</label><element-citation publication-type="book"><collab>American College of Surgeons</collab><source>Advanced Trauma Life Support for Doctors: Student Course Manual</source><edition>7</edition><publisher-loc>Chicago, IL</publisher-loc><publisher-name>American College of Surgeons</publisher-name><year>2008</year></element-citation></ref><ref id="R2"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wisbach</surname><given-names>GG</given-names></name><name><surname>Sise</surname><given-names>MJ</given-names></name><name><surname>Sack</surname><given-names>DI</given-names></name><etal/></person-group><article-title>What is the role of chest X-ray in the initial assessment of stable trauma patients?</article-title><source>J Trauma</source><year>2007</year><volume>62</volume><issue>1</issue><fpage>74</fpage><lpage>79</lpage><pub-id pub-id-type="pmid">17215736</pub-id></element-citation></ref><ref id="R3"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rodriguez</surname><given-names>RM</given-names></name><name><surname>Langdorf</surname><given-names>MI</given-names></name><name><surname>Nishijima</surname><given-names>D</given-names></name><etal/></person-group><article-title>Derivation and Validation of Two Decision Instruments for Selective Chest CT in Blunt Trauma: A Multicenter Prospective Observational Study (NEXUS Chest CT)</article-title><source>PLOS Medicine</source><year>2015</year><pub-id pub-id-type="doi">10.1371/journal.pmed.1001883</pub-id></element-citation></ref><ref id="R4"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Broder</surname><given-names>J</given-names></name><name><surname>Warshauer</surname><given-names>DM</given-names></name></person-group><article-title>Increasing utilization of computed tomography in the adult emergency department, 2000-2005</article-title><source>Emerg Radiol</source><year>2006</year><volume>13</volume><fpage>25</fpage><lpage>30</lpage><pub-id pub-id-type="pmid">16900352</pub-id></element-citation></ref><ref id="R5"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Larson</surname><given-names>DB</given-names></name><name><surname>Johnson</surname><given-names>LW</given-names></name><name><surname>Schnell</surname><given-names>BM</given-names></name><name><surname>Salisbury</surname><given-names>SR</given-names></name><name><surname>Forman</surname><given-names>HP</given-names></name></person-group><article-title>National trends in CT use in the emergency department: 1995-2007</article-title><source>Radiology</source><year>2011</year><volume>258</volume><fpage>164</fpage><lpage>73</lpage><pub-id pub-id-type="pmid">21115875</pub-id></element-citation></ref><ref id="R6"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Korley</surname><given-names>FK</given-names></name><name><surname>Pham</surname><given-names>JC</given-names></name><name><surname>Kirsch</surname><given-names>TD</given-names></name></person-group><article-title>Use of advanced radiology during visits to US emergency departments for injury-related conditions, 1998-2007</article-title><source>JAMA</source><year>2010</year><volume>304</volume><fpage>1465</fpage><lpage>71</lpage><pub-id pub-id-type="pmid">20924012</pub-id></element-citation></ref><ref id="R7"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Campion</surname><given-names>EM</given-names></name><name><surname>Mackersie</surname><given-names>RC</given-names></name></person-group><article-title>Recent developments in the assessment of the multiply injured trauma patient</article-title><source>Opin Crit Care</source><year>2014</year><volume>20</volume><fpage>620</fpage><lpage>5</lpage></element-citation></ref><ref id="R8"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Huber-Wagner</surname><given-names>S</given-names></name><name><surname>Lefering</surname><given-names>R</given-names></name><name><surname>Qvick</surname><given-names>LM</given-names></name><name><surname>K&#x000f6;rner</surname><given-names>M</given-names></name><name><surname>Kay</surname><given-names>MV</given-names></name><name><surname>Pfeifer</surname><given-names>KJ</given-names></name><etal/></person-group><article-title>Effect of whole-body CT during trauma resuscitation on survival: a retrospective multicentre study</article-title><source>Lancet</source><year>2009</year><volume>373</volume><fpage>1455</fpage><lpage>61</lpage><pub-id pub-id-type="pmid">19321199</pub-id></element-citation></ref><ref id="R9"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Salim</surname><given-names>A</given-names></name><name><surname>Sangthong</surname><given-names>B</given-names></name><name><surname>Martin</surname><given-names>M</given-names></name><name><surname>Brown</surname><given-names>C</given-names></name><name><surname>Plurad</surname><given-names>D</given-names></name><name><surname>Demetriades</surname><given-names>D</given-names></name></person-group><article-title>Whole body imaging in blunt multisystem trauma patients without obvious signs of injury</article-title><source>Arch Surg</source><year>2006</year><volume>141</volume><fpage>468</fpage><lpage>75</lpage><pub-id pub-id-type="pmid">16702518</pub-id></element-citation></ref><ref id="R10"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tillou</surname><given-names>A</given-names></name><name><surname>Gupta</surname><given-names>M</given-names></name><name><surname>Baraff</surname><given-names>LJ</given-names></name><name><surname>Schriger</surname><given-names>DL</given-names></name><name><surname>Hoffman</surname><given-names>JR</given-names></name><name><surname>Hiatt</surname><given-names>JR</given-names></name><etal/></person-group><article-title>Is the use of pan-computed tomography for blunt trauma justified? A prospective evaluation</article-title><source>J Trauma</source><year>2009</year><volume>67</volume><fpage>779</fpage><lpage>87</lpage><pub-id pub-id-type="pmid">19820586</pub-id></element-citation></ref><ref id="R11"><label>11</label><element-citation publication-type="book"><source>Choosing Wisely: Five things physicians should and patients should question</source><publisher-name>American College of Surgeons</publisher-name><date-in-citation>12/04/2015</date-in-citation><comment><ext-link ext-link-type="uri" xlink:href="https://www.facs.org/~/media/files/education/acslist.ashx">https://www.facs.org/~/media/files/education/acslist.ashx</ext-link></comment></element-citation></ref><ref id="R12"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Smith-Bindman</surname><given-names>R</given-names></name><name><surname>Lipson</surname><given-names>J</given-names></name><name><surname>Marcus</surname><given-names>R</given-names></name><name><surname>Kim</surname><given-names>KP</given-names></name><name><surname>Mahesh</surname><given-names>M</given-names></name><name><surname>Gould</surname><given-names>R</given-names></name><name><surname>Berrington de Gonz&#x000e1;lez</surname><given-names>A</given-names></name><name><surname>Miglioretti</surname><given-names>DL</given-names></name></person-group><article-title>Radiation dose associated with common computed tomography examinations and the associated lifetime attributable risk of cancer</article-title><source>Arch Intern Med</source><year>2009</year><volume>169</volume><fpage>2078</fpage><lpage>86</lpage><pub-id pub-id-type="pmid">20008690</pub-id></element-citation></ref><ref id="R13"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rodriguez</surname><given-names>RM</given-names></name><name><surname>Baumann</surname><given-names>BM</given-names></name><name><surname>Raja</surname><given-names>AS</given-names></name><name><surname>Langdorf</surname><given-names>MI</given-names></name><name><surname>Anglin</surname><given-names>D</given-names></name><name><surname>Bradley</surname><given-names>RN</given-names></name><name><surname>Medak</surname><given-names>AJ</given-names></name><name><surname>Mower</surname><given-names>WR</given-names></name><name><surname>Hendey</surname><given-names>GW</given-names></name></person-group><article-title>Diagnostic yields, charges, and radiation dose of chest imaging in blunt trauma evaluations</article-title><source>Acad Emerg Med</source><year>2014</year><month>6</month><volume>21</volume><issue>6</issue><fpage>644</fpage><lpage>50</lpage><pub-id pub-id-type="doi">10.1111/acem.12396</pub-id><pub-id pub-id-type="pmid">25039548</pub-id></element-citation></ref><ref id="R14"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Berrington de Gonz&#x000e1;lez</surname><given-names>A</given-names></name><name><surname>Mahesh</surname><given-names>M</given-names></name><name><surname>Kim</surname><given-names>KP</given-names></name><name><surname>Bhargavan</surname><given-names>M</given-names></name><name><surname>Lewis</surname><given-names>R</given-names></name><name><surname>Mettler</surname><given-names>F</given-names></name><etal/></person-group><article-title>Projected Cancer Risks From Computed Tomographic Scans Performed in the United States in 2007</article-title><source>Arch Intern Med</source><year>2009</year><volume>169</volume><fpage>2071</fpage><lpage>2077</lpage><pub-id pub-id-type="pmid">20008689</pub-id></element-citation></ref><ref id="R15"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Brenner</surname><given-names>DJ</given-names></name><name><surname>Hall</surname><given-names>EJ</given-names></name></person-group><article-title>Computed tomography&#x02014;an increasing source of radiation exposure</article-title><source>N Engl J Med</source><year>2007</year><volume>357</volume><fpage>2277</fpage><lpage>2284</lpage><pub-id pub-id-type="pmid">18046031</pub-id></element-citation></ref><ref id="R16"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fazel</surname><given-names>R</given-names></name><name><surname>Krumholz</surname><given-names>HM</given-names></name><name><surname>Wang</surname><given-names>Y</given-names></name><name><surname>Ross</surname><given-names>JS</given-names></name><name><surname>Chen</surname><given-names>J</given-names></name><name><surname>Ting</surname><given-names>HH</given-names></name><etal/></person-group><article-title>Exposure to low-dose ionizing radiation from medical imaging procedures</article-title><source>N Engl J Med</source><year>2009</year><volume>361</volume><fpage>849</fpage><lpage>857</lpage><pub-id pub-id-type="pmid">19710483</pub-id></element-citation></ref><ref id="R17"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Amis</surname><given-names>ES</given-names><suffix>Jr</suffix></name><name><surname>Butler</surname><given-names>PF</given-names></name><name><surname>Applegate</surname><given-names>KE</given-names></name><name><surname>Birnbaum</surname><given-names>SB</given-names></name><name><surname>Brateman</surname><given-names>LF</given-names></name><name><surname>Hevezi</surname><given-names>JM</given-names></name><etal/></person-group><article-title>American College of Radiology white paper on radiation dose in medicine</article-title><source>J Am Coll Radiol</source><year>2007</year><volume>4</volume><fpage>272</fpage><lpage>284</lpage><pub-id pub-id-type="pmid">17467608</pub-id></element-citation></ref><ref id="R18"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hall</surname><given-names>EJ</given-names></name><name><surname>Brenner</surname><given-names>DJ</given-names></name></person-group><article-title>Cancer risk from diagnostic radiology: the impact of new epidemiological data</article-title><source>Br J Radiol</source><year>2012</year><volume>85</volume><issue>1020</issue><fpage>e1316</fpage><lpage>17</lpage><pub-id pub-id-type="pmid">23175496</pub-id></element-citation></ref><ref id="R19"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pearce</surname><given-names>MS</given-names></name><name><surname>Salotti</surname><given-names>JA</given-names></name><name><surname>Little</surname><given-names>MP</given-names></name><etal/></person-group><article-title>Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study</article-title><source>Lancet</source><year>2012</year><volume>380</volume><issue>9840</issue><fpage>499</fpage><lpage>505</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(12)60815-0</pub-id><pub-id pub-id-type="pmid">22681860</pub-id></element-citation></ref><ref id="R20"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Suarez-Almazor</surname><given-names>ME</given-names></name><name><surname>Belseck</surname><given-names>E</given-names></name><name><surname>Russell</surname><given-names>AS</given-names></name><name><surname>Mackel</surname><given-names>JV</given-names></name></person-group><article-title>Use of lumbar radiographs for the early diagnosis of low back pain: proposed guidelines would increase utilization</article-title><source>JAMA</source><year>1997</year><volume>277</volume><issue>22</issue><fpage>1782</fpage><lpage>1786</lpage><pub-id pub-id-type="pmid">9178791</pub-id></element-citation></ref><ref id="R21"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ziegler</surname><given-names>K</given-names></name><name><surname>Feeny</surname><given-names>JM</given-names></name><name><surname>Desai</surname><given-names>C</given-names></name><name><surname>Sharpio</surname><given-names>D</given-names></name><name><surname>Marshall</surname><given-names>WT</given-names></name><name><surname>Twohig</surname><given-names>M</given-names></name></person-group><article-title>Retrospective review of the use and costs of routine chest x rays in a trauma setting</article-title><source>Journal of Trauma Management &#x00026; Outcomes</source><year>2013</year><volume>7</volume><fpage>2</fpage><lpage>6</lpage><pub-id pub-id-type="pmid">23656999</pub-id></element-citation></ref><ref id="R22"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname><given-names>CI</given-names></name><name><surname>Aims</surname><given-names>AH</given-names></name><name><surname>Monico</surname><given-names>EP</given-names></name><name><surname>Brink</surname><given-names>JA</given-names></name><name><surname>Forman</surname><given-names>HP</given-names></name></person-group><article-title>Diagnostic CT scans: assessment of patient, physician, and radiologist awareness of radiation dose and possible risks</article-title><source>Radiology</source><year>2004</year><volume>231</volume><fpage>393</fpage><lpage>8</lpage><pub-id pub-id-type="pmid">15031431</pub-id></element-citation></ref><ref id="R23"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rodriguez</surname><given-names>RM</given-names></name><name><surname>Hendey</surname><given-names>GW</given-names></name><name><surname>Mower</surname><given-names>W</given-names></name><name><surname>Kea</surname><given-names>B</given-names></name><name><surname>Fortman</surname><given-names>J</given-names></name><name><surname>Merchant</surname><given-names>G</given-names></name><etal/></person-group><article-title>Derivation of a decision instrument for selective chest radiography in blunt trauma</article-title><source>J Trauma</source><year>2011</year><volume>71</volume><fpage>549</fpage><lpage>53</lpage><pub-id pub-id-type="pmid">21045745</pub-id></element-citation></ref><ref id="R24"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rodriguez</surname><given-names>RM</given-names></name><name><surname>Anglin</surname><given-names>D</given-names></name><name><surname>Langdorf</surname><given-names>MI</given-names></name><name><surname>Baumann</surname><given-names>BM</given-names></name><name><surname>Hendey</surname><given-names>GW</given-names></name><name><surname>Bradley</surname><given-names>RN</given-names></name><etal/></person-group><article-title>NEXUS Chest: Validation of a decision instrument for selective chest imaging in blunt trauma</article-title><source>JAMA Surg</source><year>2013</year><volume>148</volume><fpage>940</fpage><lpage>946</lpage><pub-id pub-id-type="pmid">23925583</pub-id></element-citation></ref><ref id="R25"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Langdorf</surname><given-names>MI</given-names></name><name><surname>Medak</surname><given-names>AJ</given-names></name><name><surname>Hendey</surname><given-names>GW</given-names></name><etal/></person-group><article-title>Prevalence and clinical import of thoracic injury identified by chest computed tomography but not chest radiography in blunt trauma: Multicenter prospective cohort study</article-title><source>Ann Emerg Med</source><year>2015</year><volume>66</volume><fpage>589</fpage><lpage>600</lpage><pub-id pub-id-type="doi">10.1016/j.annemergmed.2015.06.003</pub-id><pub-id pub-id-type="pmid">26169926</pub-id></element-citation></ref><ref id="R26"><label>26</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Raja</surname><given-names>AS</given-names></name><name><surname>Lanning</surname><given-names>J</given-names></name><name><surname>Gower</surname><given-names>A</given-names></name><etal/></person-group><article-title>Prevalence of chest injury with the presence of NEXUS Chest criteria: Data to inform shared decisionmaking about imaging use</article-title><source>Ann Emerg Med</source><year>2015</year><month>11</month><day>19</day><!--<pub-id pub-id-type="pii">S0196-0644(15)01312-8</pub-id>--><pub-id pub-id-type="doi">10.1016/j.annemergmed.2015.09.024</pub-id><comment>[Epub ahead of print]</comment></element-citation></ref><ref id="R27"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hoffman</surname><given-names>JR</given-names></name><name><surname>Mower</surname><given-names>WR</given-names></name><name><surname>Wolfson</surname><given-names>AB</given-names></name><name><surname>Todd</surname><given-names>KH</given-names></name><name><surname>Zucker</surname><given-names>MI</given-names></name></person-group><collab>National Emergency X-Radiography Utilization Study Group</collab><article-title>Validity of a set of clinical criteria to rule out injury to the cervical spine in patients with blunt trauma</article-title><source>N Engl J Med</source><year>2000</year><volume>343</volume><fpage>94</fpage><lpage>99</lpage><pub-id pub-id-type="pmid">10891516</pub-id></element-citation></ref><ref id="R28"><label>28</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Stiell</surname><given-names>IG</given-names></name><name><surname>Wells</surname><given-names>GA</given-names></name><name><surname>Vandemheen</surname><given-names>KL</given-names></name><etal/></person-group><article-title>The Canadian C-spine rule for radiography in alert and stable trauma patients</article-title><source>JAMA</source><year>2001</year><month>10</month><day>17</day><volume>286</volume><fpage>1841</fpage><lpage>8</lpage><pub-id pub-id-type="pmid">11597285</pub-id></element-citation></ref><ref id="R29"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Stiell</surname><given-names>IG</given-names></name><name><surname>Wells</surname><given-names>GA</given-names></name></person-group><article-title>Methodologic standards for the development of clinical decision rules in emergency medicine</article-title><source>Ann Emerge Med</source><year>1999</year><volume>33</volume><fpage>437</fpage><lpage>47</lpage></element-citation></ref><ref id="R30"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gilbert</surname><given-names>EH</given-names></name><name><surname>Lowenstein</surname><given-names>SR</given-names></name><name><surname>Koziol-McLain</surname><given-names>J</given-names></name><name><surname>Barta</surname><given-names>DC</given-names></name><name><surname>Steiner</surname><given-names>J</given-names></name></person-group><article-title>Chart reviews in emergency medicine research: Where are the methods?</article-title><source>Ann Emerg Med</source><year>1996</year><volume>27</volume><fpage>305</fpage><lpage>308</lpage><pub-id pub-id-type="pmid">8599488</pub-id></element-citation></ref><ref id="R31"><label>31</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gupta</surname><given-names>M</given-names></name><name><surname>Schriger</surname><given-names>DL</given-names></name><name><surname>Hiatt</surname><given-names>JR</given-names></name><name><surname>Cryer</surname><given-names>HG</given-names></name><name><surname>Tillou</surname><given-names>A</given-names></name><name><surname>Hoffman</surname><given-names>JR</given-names></name><etal/></person-group><article-title>Selective use of computed tomography compared with routine whole body imaging in patients with blunt trauma</article-title><source>Ann Emerg Med</source><year>2011</year><volume>58</volume><fpage>407</fpage><lpage>416</lpage><pub-id pub-id-type="pmid">21890237</pub-id></element-citation></ref><ref id="R32"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Raja</surname><given-names>AS</given-names></name><name><surname>Baumann</surname><given-names>B</given-names></name><etal/></person-group><article-title>Prevalence of Chest Injury with the Presence of NEXUS Chest Criteria: Data to Inform Shared Decision-Making Regarding Imaging Use</article-title><source>Ann Emerg Med</source><comment>[Epub ahead of print]</comment></element-citation></ref><ref id="R33"><label>33</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rodriguez</surname><given-names>RM</given-names></name><name><surname>Henderson</surname><given-names>TM</given-names></name><name><surname>Ritchie</surname><given-names>AM</given-names></name><name><surname>Langdorf</surname><given-names>MI</given-names></name><name><surname>Raja</surname><given-names>AS</given-names></name><name><surname>Silverman</surname><given-names>E</given-names></name><etal/></person-group><article-title>Patient preferences and acceptable risk for computed tomography in trauma</article-title><source>Injury</source><year>2014</year><volume>45</volume><fpage>1345</fpage><lpage>9</lpage><pub-id pub-id-type="pmid">24742979</pub-id></element-citation></ref><ref id="R34"><label>34</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Huber-Wagner</surname><given-names>S</given-names></name><name><surname>Biberthaler</surname><given-names>P</given-names></name><name><surname>Habarle</surname><given-names>S</given-names></name><name><surname>Wierer</surname><given-names>M</given-names></name><name><surname>Dobritz</surname><given-names>M</given-names></name><name><surname>Rummeny</surname><given-names>E</given-names></name><etal/></person-group><article-title>Whole-body CT in haemodynamically unstable severely injured patients--a retrospective, multicentre study</article-title><source>PLoS One</source><year>2013</year><pub-id pub-id-type="doi">10.1371/journal.pone.0068880</pub-id></element-citation></ref></ref-list></back><floats-group><fig id="F1" orientation="portrait" position="float"><label>Figure 1</label><caption><title>NEXUS Chest algorithm to guide blunt trauma chest imaging</title><p><bold>NEXUS chest</bold> = 1) age &#x0003e; 60; 2) rapid deceleration mechanism (fall &#x0003e; 20 feet or motorized vehicle accident &#x0003e; 40 miles per hour); 3) chest pain; 4) intoxication; 5) distracting injury; 6) tenderness to chest wall palpation; and 7) abnormal alertness/mental status.</p><p><bold>NEXUS CT Major</bold> = 1) distracting injury; 2) chest wall tenderness; 3) sternal tenderness; 4) thoracic spine tenderness; and 5) scapular tenderness.</p><p><bold>NEXUS CT All</bold> = above CT Major criteria + rapid deceleration mechanism</p></caption><graphic xlink:href="nihms829192f1"/></fig><table-wrap id="T1" position="float" orientation="portrait"><label>Table 1</label><caption><p>Trauma expert panel determination of clinical significance of injuries seen on chest imaging.</p></caption><table frame="box" rules="all"><thead><tr><th align="left" rowspan="1" colspan="1">Category</th><th align="left" rowspan="1" colspan="1">Injury</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1"><bold>Major clinical significance</bold></td><td align="left" rowspan="1" colspan="1">Aortic or great vessel injury (all considered major)</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Ruptured diaphragm (all considered major)</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Pneumothorax: received evacuation procedure (chest tube or other procedure)</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Hemothorax: received drainage procedure (chest tube or other procedure)</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Sternal fracture: received surgical intervention</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Multiple rib fracture: received surgical intervention or epidural nerve block</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Pulmonary contusion: received mechanical ventilation (including non-invasive ventilation) primarily for respiratory failure within 24 h for management</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Thoracic spine fracture: received surgical intervention</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Scapular fracture: received surgical intervention</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Mediastinal or pericardial hematoma: received drainage procedure</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Esophageal injury: received surgical intervention</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Tracheal or bronchial injury: received surgical intervention</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Minor clinical significance</bold></td><td align="left" rowspan="1" colspan="1">Pneumothorax: no evacuation procedure but observed as inpatient &#x0003e;24 h</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Hemothorax: no drainage procedure but observed as inpatient for &#x0003e;24 h</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Sternal fracture: no surgical intervention</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Multiple rib fracture: no surgical intervention or epidural nerve block</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Pulmonary contusion or laceration: no mechanical ventilation but observed &#x0003e;24h</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Thoracic spine fracture: no surgical intervention</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Scapular fracture: no surgical intervention</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Mediastinal or pericardial hematoma: no surgical intervention</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Esophageal injury: no surgical intervention</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Tracheal or bronchial injury: no surgical intervention</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>No clinical significance</bold><xref rid="TFN1" ref-type="table-fn">*</xref></td><td align="left" rowspan="1" colspan="1">Hemothorax: no surgical intervention, no inpatient observation</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Pneumothorax: no surgical intervention, no inpatient observation</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Pneumomediastinum without pneumothorax: no inpatient observation</td></tr><tr><td align="left" rowspan="1" colspan="1"/><td align="left" rowspan="1" colspan="1">Pulmonary contusion or laceration: no mechanical ventilation, no surgical intervention, no inpatient observation</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>*</label><p>This category was generated to account for those instances in which CT visualizes minute abnormalities that result in no changes in management.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T2" position="float" orientation="landscape"><label>Table 2</label><caption><p>Patient Characteristics of NEXUS Chest imaging studies</p></caption><table frame="box" rules="all"><thead><tr><th align="center" colspan="6" valign="top" rowspan="1">Patient Characteristics</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1">Characteristic</th><th align="center" valign="top" rowspan="1" colspan="1">CXR Derivation<xref rid="TFN3" ref-type="table-fn">1</xref></th><th align="center" valign="top" rowspan="1" colspan="1">CXR Validation<xref rid="TFN4" ref-type="table-fn">2</xref></th><th align="center" valign="top" rowspan="1" colspan="1">CT Derivation<xref rid="TFN5" ref-type="table-fn">3</xref></th><th align="center" valign="top" rowspan="1" colspan="1">CT Validation<xref rid="TFN6" ref-type="table-fn">4</xref></th><th align="center" valign="top" rowspan="1" colspan="1">TOTAL</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1"><bold>Number</bold></td><td align="center" rowspan="1" colspan="1">2,628</td><td align="center" rowspan="1" colspan="1">9,905</td><td align="center" rowspan="1" colspan="1">6,002</td><td align="center" rowspan="1" colspan="1">5,475</td><td align="center" rowspan="1" colspan="1">24,010</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Gender:</bold></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Male (%)</bold></td><td align="center" rowspan="1" colspan="1">1,698 (64.6)</td><td align="center" rowspan="1" colspan="1">6,220 (62.8)</td><td align="center" rowspan="1" colspan="1">3,583 (59.7)</td><td align="center" rowspan="1" colspan="1">3,384 (61.8)</td><td align="center" rowspan="1" colspan="1">14,885 (62.0)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Female</bold></td><td align="center" rowspan="1" colspan="1">930 (35.4)</td><td align="center" rowspan="1" colspan="1">3,685 (37.2)</td><td align="center" rowspan="1" colspan="1">2,419 (40.3)</td><td align="center" rowspan="1" colspan="1">2,091 (38.2)</td><td align="center" rowspan="1" colspan="1">9,125 (38.0)</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Age, years, median (IQR)</bold></td><td align="center" rowspan="1" colspan="1">42 (28-57)</td><td align="center" rowspan="1" colspan="1">45 (29-60)</td><td align="center" rowspan="1" colspan="1">46 (29-62)</td><td align="center" rowspan="1" colspan="1">45 (28-61)</td><td align="center" rowspan="1" colspan="1">45 (29-61)</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Mechanism of Injury:</bold></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Motor vehicle crash (%)</bold></td><td align="center" rowspan="1" colspan="1">926 (35.2)</td><td align="center" rowspan="1" colspan="1">3,463 (35.0)</td><td align="center" rowspan="1" colspan="1">2,141 (35.7)</td><td align="center" rowspan="1" colspan="1">1,945 (35.5)</td><td align="center" rowspan="1" colspan="1">8,476 (35.3)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Motorcycle crash</bold></td><td align="center" rowspan="1" colspan="1">254 (9.7)</td><td align="center" rowspan="1" colspan="1">878 (8.9)</td><td align="center" rowspan="1" colspan="1">466 (7.8)</td><td align="center" rowspan="1" colspan="1">594 (10.8)</td><td align="center" rowspan="1" colspan="1">2,192 (9.1)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Pedestrian struck by vehicle</bold></td><td align="center" rowspan="1" colspan="1">418 (15.9)</td><td align="center" rowspan="1" colspan="1">1,057 (10.7)</td><td align="center" rowspan="1" colspan="1">498 (8.3)</td><td align="center" rowspan="1" colspan="1">543 (9.9)</td><td align="center" rowspan="1" colspan="1">2,516 (10.5)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Bicycle crash</bold></td><td align="center" rowspan="1" colspan="1">194 (7.4)</td><td align="center" rowspan="1" colspan="1">624 (6.3)</td><td align="center" rowspan="1" colspan="1">427 (7.1)</td><td align="center" rowspan="1" colspan="1">408 (7.5)</td><td align="center" rowspan="1" colspan="1">1,653 (6.9)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Fall</bold></td><td align="center" rowspan="1" colspan="1">535 (20.4)</td><td align="center" rowspan="1" colspan="1">2,726 (27.5)</td><td align="center" rowspan="1" colspan="1">1,781 (29.7)</td><td align="center" rowspan="1" colspan="1">1,368 (25.0)</td><td align="center" rowspan="1" colspan="1">6,410 (26.7)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Struck by object or assault</bold></td><td align="center" rowspan="1" colspan="1">177 (6.7)</td><td align="center" rowspan="1" colspan="1">577 (5.8)</td><td align="center" rowspan="1" colspan="1">416 (6.9)</td><td align="center" rowspan="1" colspan="1">305 (5.6)</td><td align="center" rowspan="1" colspan="1">1,475 (6.1)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Other or unknown</bold></td><td align="center" rowspan="1" colspan="1">124 (4.7)</td><td align="center" rowspan="1" colspan="1">580 (5.9)</td><td align="center" rowspan="1" colspan="1">273 (4.5)</td><td align="center" rowspan="1" colspan="1">312 (5.7)</td><td align="center" rowspan="1" colspan="1">1,289 (5.4)</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>GCS score, median (IQR)</bold></td><td align="center" rowspan="1" colspan="1">15 (15-15)</td><td align="center" rowspan="1" colspan="1">15 (15-15)</td><td align="center" rowspan="1" colspan="1">15 (15-15)</td><td align="center" rowspan="1" colspan="1">15 (15-15)</td><td align="center" rowspan="1" colspan="1">15 (15-15)</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Admitted to hospital (%)</bold></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">5,173 (52.2)</td><td align="center" rowspan="1" colspan="1">2,768 (46.1)</td><td align="center" rowspan="1" colspan="1">2,733 (49.9)</td><td align="center" rowspan="1" colspan="1">5,501 (47.9)</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Survival to discharge (%)</bold></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">4877 (94.3)</td><td align="center" rowspan="1" colspan="1">2,599 (93.9)</td><td align="center" rowspan="1" colspan="1">2,575 (94.2)</td><td align="center" rowspan="1" colspan="1">5,174 (94.1)</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Hospital LOS, median (IQR)</bold></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">3 (1-5)</td><td align="center" rowspan="1" colspan="1">3 (1-5)</td><td align="center" rowspan="1" colspan="1">3 (1-5)</td><td align="center" rowspan="1" colspan="1">3 (1-5)</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>ISS, median (IQR)</bold></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">5 (1-10)</td><td align="center" rowspan="1" colspan="1">5 (1-10)</td><td align="center" rowspan="1" colspan="1">5 (1-10)</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Imaging:</bold></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>CXR only (%)</bold></td><td align="center" rowspan="1" colspan="1">2,044 (78)</td><td align="center" rowspan="1" colspan="1">4,817 (48.6)</td><td align="center" rowspan="1" colspan="1">3,741 (62.3)</td><td align="center" rowspan="1" colspan="1">2,555 (46.7)</td><td align="center" rowspan="1" colspan="1">13,157 (54.8)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>CXR and CT</bold></td><td align="center" rowspan="1" colspan="1">554 (21)</td><td align="center" rowspan="1" colspan="1">4,828 (48.7)</td><td align="center" rowspan="1" colspan="1">1,873 (31.2)</td><td align="center" rowspan="1" colspan="1">2,628 (48)</td><td align="center" rowspan="1" colspan="1">9,883 (41.2)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>CT only</bold></td><td align="center" rowspan="1" colspan="1">30 (1)</td><td align="center" rowspan="1" colspan="1">260 (2.6)</td><td align="center" rowspan="1" colspan="1">388 (6.5)</td><td align="center" rowspan="1" colspan="1">292 (5.3)</td><td align="center" rowspan="1" colspan="1">970 (4.0)</td></tr></tbody></table><table-wrap-foot><fn id="TFN2"><p>CXR = chest X-ray</p><p>CT = computed tomography</p><p>SD = standard deviation</p><p>IQR = interquartile range</p><p>GCS = Glasgow coma scale</p><p>LOS = length of stay</p><p>ISS = Injury severity score</p></fn><fn id="TFN3"><label>1</label><p>= July 2007-August 2009;</p></fn><fn id="TFN4"><label>2</label><p>= December 2009-January 2012;</p></fn><fn id="TFN5"><label>3</label><p>= September 2011-December 2012;</p></fn><fn id="TFN6"><label>4</label><p>= February 2013-May 2014</p></fn></table-wrap-foot></table-wrap><table-wrap id="T3" position="float" orientation="landscape"><label>Table 3</label><caption><p>Injuries seen on NEXUS Chest imaging studies</p></caption><table frame="box" rules="all"><thead><tr><th align="left" valign="top" rowspan="1" colspan="1">Injury</th><th align="center" valign="top" rowspan="1" colspan="1">CXR Derivation<break/>N = 2628</th><th align="center" valign="top" rowspan="1" colspan="1">CXR Validation<break/>N = 9905</th><th align="center" valign="top" rowspan="1" colspan="1">CT Derivation<break/>N = 6002</th><th align="center" valign="top" rowspan="1" colspan="1">CT Validation<break/>N = 5475</th><th align="center" valign="top" rowspan="1" colspan="1">TOTAL<break/>N = 24,010</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1"><bold>Patients with Injury (%)</bold></td><td align="center" rowspan="1" colspan="1">271 (10.3)</td><td align="center" rowspan="1" colspan="1">1478 (14.9)</td><td align="center" rowspan="1" colspan="1">777 (12.9)</td><td align="center" rowspan="1" colspan="1">811 (14.8)</td><td align="center" rowspan="1" colspan="1">3,337 (13.9)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>&#x02265;2 Rib fractures</bold></td><td align="center" rowspan="1" colspan="1">199 (7.6)</td><td align="center" rowspan="1" colspan="1">996 (10.1)</td><td align="center" rowspan="1" colspan="1">407 (6.8)</td><td align="center" rowspan="1" colspan="1">446 (8.1)</td><td align="center" rowspan="1" colspan="1">2,048 (8.5)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Pneumothorax</bold></td><td align="center" rowspan="1" colspan="1">103 (3.9)</td><td align="center" rowspan="1" colspan="1">590 (6.0)</td><td align="center" rowspan="1" colspan="1">207 (3.4)</td><td align="center" rowspan="1" colspan="1">216 (3.9)</td><td align="center" rowspan="1" colspan="1">1,116 (4.6)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Pulmonary contusion</bold></td><td align="center" rowspan="1" colspan="1">79 (3.0)</td><td align="center" rowspan="1" colspan="1">527 (5.3)</td><td align="center" rowspan="1" colspan="1">186 (3.1)</td><td align="center" rowspan="1" colspan="1">249 (4.5)</td><td align="center" rowspan="1" colspan="1">1,041 (4.3)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Hemothorax</bold></td><td align="center" rowspan="1" colspan="1">41 (1.6)</td><td align="center" rowspan="1" colspan="1">207 (2.1)</td><td align="center" rowspan="1" colspan="1">75 (1.2)</td><td align="center" rowspan="1" colspan="1">60 (1.1)</td><td align="center" rowspan="1" colspan="1">383 (1.6)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Sternal fracture</bold></td><td align="center" rowspan="1" colspan="1">24 (0.9)</td><td align="center" rowspan="1" colspan="1">212 (2.1)</td><td align="center" rowspan="1" colspan="1">112 (1.9)</td><td align="center" rowspan="1" colspan="1">124 (2.3)</td><td align="center" rowspan="1" colspan="1">472 (2.0)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Ruptured diaphragm</bold></td><td align="center" rowspan="1" colspan="1">14 (0.5)</td><td align="center" rowspan="1" colspan="1">6 (0.1)</td><td align="center" rowspan="1" colspan="1">1 (0.0)</td><td align="center" rowspan="1" colspan="1">3 (0.1)</td><td align="center" rowspan="1" colspan="1">24 (0.1)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Aorta/great vessel injury</bold></td><td align="center" rowspan="1" colspan="1">2 (0.1)</td><td align="center" rowspan="1" colspan="1">15 (0.2)</td><td align="center" rowspan="1" colspan="1">11 (0.2)</td><td align="center" rowspan="1" colspan="1">10 (0.2)</td><td align="center" rowspan="1" colspan="1">38 (0.2)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Spinal fracture</bold><xref rid="TFN8" ref-type="table-fn">*</xref></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">149 (2.5)</td><td align="center" rowspan="1" colspan="1">90 (1.6)</td><td align="center" rowspan="1" colspan="1">239 (2.1)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Scapular fracture</bold><xref rid="TFN8" ref-type="table-fn">*</xref></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">68 (1.1)</td><td align="center" rowspan="1" colspan="1">66 (1.2)</td><td align="center" rowspan="1" colspan="1">134 (1.2)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Mediastinal or pericardial hematoma</bold><xref rid="TFN8" ref-type="table-fn">*</xref></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">34 (0.6)</td><td align="center" rowspan="1" colspan="1">40 (0.7)</td><td align="center" rowspan="1" colspan="1">74 (0.6)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Pneumomediastinum</bold><xref rid="TFN8" ref-type="table-fn">*</xref></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">33 (0.5)</td><td align="center" rowspan="1" colspan="1">20 (0.4)</td><td align="center" rowspan="1" colspan="1">53 (0.5)</td></tr><tr><td align="left" rowspan="1" colspan="1">&#x02003;<bold>Other</bold><xref rid="TFN8" ref-type="table-fn">*</xref></td><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1"/><td align="center" rowspan="1" colspan="1">13 (0.2)</td><td align="center" rowspan="1" colspan="1">4 (0.1)</td><td align="center" rowspan="1" colspan="1">17 (0.1)</td></tr></tbody></table><table-wrap-foot><fn id="TFN7"><p>CXR = chest X-ray</p><p>CT = computed tomography</p></fn><fn id="TFN8"><label>*</label><p>Injury types collected for CT study only</p></fn></table-wrap-foot></table-wrap><table-wrap id="T4" position="float" orientation="portrait"><label>Table 4</label><caption><p>Predictive performance of individual and combinations of criteria</p></caption><table frame="box" rules="all"><thead><tr><th align="center" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1">Occurrence</th><th align="center" valign="top" rowspan="1" colspan="1">PPV for major injury [95% CI]</th><th align="center" valign="top" rowspan="1" colspan="1">PPV for major or minor injury [95% CI]</th><th align="center" valign="top" rowspan="1" colspan="1">PLR for maj or or min or injury [95 % CI]</th></tr></thead><tbody><tr><td align="center" rowspan="1" colspan="1"><bold>Positive for 0 of 7 criteria</bold><xref rid="TFN11" ref-type="table-fn">#</xref></td><td align="center" rowspan="1" colspan="1">813 (18.1%)</td><td align="center" rowspan="1" colspan="1">2 (0.2%) [0.1-0.7%]</td><td align="center" rowspan="1" colspan="1">56 (6.9%) [5.3-8.8]</td><td align="center" rowspan="1" colspan="1">0.17 [0.1 3-0.26]</td></tr><tr><td align="center" rowspan="1" colspan="1"><bold>Positive for 1 criterion (not abnormal CXR)</bold>
<xref rid="TFN11" ref-type="table-fn">#</xref></td><td align="center" rowspan="1" colspan="1">1523 (29.5%)</td><td align="center" rowspan="1" colspan="1">17 (1.1%) [0.1-1.8]</td><td align="center" rowspan="1" colspan="1">256 (16.8%) [15.2-18.6%]</td><td align="center" rowspan="1" colspan="1">0.50 [0.4 4-0.56]</td></tr><tr><td align="center" rowspan="1" colspan="1"><bold>Only abnormal CXR</bold><xref rid="TFN11" ref-type="table-fn">#</xref></td><td align="center" rowspan="1" colspan="1">140 (3.1%)</td><td align="center" rowspan="1" colspan="1">18 (12.9%) [8.3-19.4]</td><td align="center" rowspan="1" colspan="1">85 (60.7%) [52.2-68.6%]</td><td align="center" rowspan="1" colspan="1">3.59 [2.5 4-5.08]</td></tr><tr><td align="center" rowspan="1" colspan="1"><bold>Positive for 2 criteria (not abnormal CXR)</bold>
<xref rid="TFN11" ref-type="table-fn">#</xref></td><td align="center" rowspan="1" colspan="1">1040 (20.1%)</td><td align="center" rowspan="1" colspan="1">33 (3.2%) [2.3-4.4%]</td><td align="center" rowspan="1" colspan="1">265 (25.5%) [23.1-28.0%]</td><td align="center" rowspan="1" colspan="1">0.84 [0.7 4-0.96]</td></tr><tr><td align="center" rowspan="1" colspan="1"><bold>Positive for abnormal CXR + 1 other criterion</bold><xref rid="TFN10" ref-type="table-fn">*</xref></td><td align="center" rowspan="1" colspan="1">254 (5.6%)</td><td align="center" rowspan="1" colspan="1">47 (18.5%) [14.2- 23.7%]</td><td align="center" rowspan="1" colspan="1">166 (65.4%) [59.3-71.0%]</td><td align="center" rowspan="1" colspan="1">4.38 [3.3 9-5.68]</td></tr><tr><td align="center" rowspan="1" colspan="1"><bold>Positive for 3 criteria (not abnormal CXR)</bold>
<xref rid="TFN11" ref-type="table-fn">#</xref></td><td align="center" rowspan="1" colspan="1">513 (11.4)</td><td align="center" rowspan="1" colspan="1">14 (2.7%) [1.6-4.5%]</td><td align="center" rowspan="1" colspan="1">179 (34.9%) [31.0-39.0]</td><td align="center" rowspan="1" colspan="1">1.32 [1.1 2-1.66]</td></tr><tr><td align="center" rowspan="1" colspan="1"><bold>Positive for abnormal CXR + 2 other criteria</bold><xref rid="TFN10" ref-type="table-fn">*</xref></td><td align="center" rowspan="1" colspan="1">251 (5.6%)</td><td align="center" rowspan="1" colspan="1">62 (24.7%) [19.8-30.4]</td><td align="center" rowspan="1" colspan="1">205 (81.7%) [76.4-86.1%]</td><td align="center" rowspan="1" colspan="1">10.3 5 [7.5 0-14.3 6]</td></tr></tbody></table><table-wrap-foot><fn id="TFN9"><p>PPV = positive predictive value; MCI = major clinical injury; CXR = chest x-ray; CI = confidence interval</p></fn><fn id="TFN10"><label>*</label><p>Calculations for these criteria were based on all patients who had CT (N = 5169).</p></fn><fn id="TFN11"><label>#</label><p>Calculations for these criteria were based on all patients who had both CXR and CT (N = 4501).</p></fn><fn id="TFN12"><p>7 criteria = Sternal tenderness, Scapular tenderness, Chest wall tenderness, Thoracic spine tenderness, Distracting injury, Rapid deceleration, abnormal CXR.</p></fn></table-wrap-foot></table-wrap></floats-group></article>