To examine the incidence of single or multiple organ failure postburn and its resultant clinical outcomes during acute hospitalization.
Patient outcomes are inherently dependent on intact organ function; however, burn injury affects the structure and function of almost every organ, but especially lung, liver, kidney and heart. Therefore, single-organ failure and/or multiorgan failure (MOF) are thought to contribute significantly to postburn morbidity and mortality but to date no large trial examining the effects of MOF on postburn outcomes exists.
Incidence of MOF was monitored in 821 pediatric burn patients during acute hospitalization. Patients were divided into groups based on the incidence of single organ specific failure, MOF, and non-MOF. The DENVER2 score was used to assess organ specific scores for lung, liver, kidney and heart. The patient’s demographics, injury characteristics, and outcome parameters were recorded.
Respiratory failure has the highest incidence in the early phase of postburn injury, and decreases starting 5 days postburn. Cardiac failure was noted to have the highest incidence throughout hospital stay. Incidence of hepatic failure increases with the length of hospital stay and is associated with a high mortality during the late phase of the acute hospital stay. Renal failure has an unexpectedly low incidence but is associated with a high mortality during the first three weeks postburn injury. Three or more organ failure is associated with very high mortality.
This is the first large study in burn patients to determine the incidence of organ specific failure and outcome. The results of this study confirmed the expected chronologic incidence of organ-specific failure and yield the long-term mortality of liver and renal failure. (NCT00673309)
Intact organ function is essential for positive outcome of burn patients; however, burn injury affects the structure and function of almost every organ.
Besides the challenge of treating organ failure, at times, it can be very difficult to detect or monitor single- or multiple-organ failure (MOF). Several attempts have been made in the past to validate established scoring systems such as the DENVER2 criteria in the burn patient population.
Despite the need to monitor and detect organ failure in burns, to date, there are only few studies looking at the incidence of single or MOF. Therefore, the first aim of this study was to determine the incidence of organ failure and to identify the critical time points for organ specific disorders following severe burn injury during acute hospitalization. Secondly, we analyzed the incidence of organ failure and correlated organ failure with the outcome of each organ failure or the combination of multiple organs.
Eight-hundred twenty-one pediatric patients with burns over 30% total burn surface area (TBSA) admitted to our burn center were included in the study. Organ function or MOF was and is one of the main outcomes of our studies. Therefore, this study is not a retrospective analysis; it is a prospective ongoing study with prospective analysis.
In a first assignment, patients were grouped according the incidence of MOF in non-MOF and MOF groups using the DENVER2 criteria as described below. To determine the effects of specific organ failure, patients were assigned to groups according the occurrence of specific organ failures utilizing the same score system. Organ failure was determined in patients having a score according the DENVER2 definitions greater than two for each organ.
On admission, patients were resuscitated according to the Galveston formula with 5000 cc/m2 TBSA burned+2000 cc/m2 TBSA lactated Ringer’s solution given in increments over the first 24 hours. Within 48 hours of admission, all patients underwent total burn wound excision and the wounds were covered with autograft. Any remaining open areas were covered with homograft. This was repeated until all open wound areas were covered with autologous skin.
All patients underwent the same nutritional treatment according to a standardized protocol as previously published.
Patient demographics (age, date of burn and admission, sex, burn size, and depth of burn) and concomitant injuries such as inhalation injury, sepsis, morbidity, and mortality were recorded. Sepsis was defined as previously published.
Organ failure was assessed using the DENVER2 definitions (
Blood and/or urine was collected from burn patients at admission, pre-operatively, and 5 days postoperatively for 4 weeks for serum hormone, protein, cytokine and urine hormone analysis. Blood was drawn in a serum-separator collection tube and centrifuged for 10 minutes at 1320 rpm. The serum was removed and stored at −70°C until assayed.
Serum hormones and acute phase proteins were determined using HPLC, nephelometry (BNII, Plasma Protein Analyzer Dade Behring, MD), and ELISA techniques. The Bio-Plex Human Cytokine 17-Plex panel was used with the Bio-Plex Suspension Array System (Bio-Rad, Hercules, CA) to profile expression of seventeen inflammatory mediators as previously published.
Patient data was collected and recorded prospectively using the clinical information system Emtek by physicians, nurses and supportive staff. Data was processed and analyzed with Microsoft Access®, Excel® Microsoft Corporation Inc. (Redmond, WA, USA).
The study was reviewed and approved by the Institutional Ethics Review Board of the University of Texas Medical Branch, Galveston, Texas. Prior to the study, each subject, parent or child’s legal guardian had to sign a written informed consent form. Statistical methods such as Student’s t-test, Chi-square test, logistic regression and Kaplan-Meier Survival Analysis (log-Rank) were used where appropriate. Data are expressed as means±SD or SEM, where appropriate. Statistical significance was accepted at p<0.05. Participating patients were part of a study registered at
A total of 821 burn patients were included in the study. MOF occurred in 157 burn patients while 664 burn patients did not develop MOF during the hospital stay. Both patient populations were similar in demographics and did not show significant differences in gender, ethnicity, and age (
Overall, patients that developed MOF had significantly worse outcomes compared to burn patients that did not develop MOF (
Kaplan-Meier survival analysis showed that the mortality rate had no peak but was rather constant during the first 60 days after burn injury (
In order to obtain further insights, we conducted some biochemical analyses. Both patient populations - non-MOF and MOF - showed elevated systemic glucose levels (
The next step was to analyze morbidity and mortality in relation to each single organ failure. We found that 586 patients had no evidence of severe organ failure according to the definition of the DENVER2 scoring system. Respiratory failure occurred in 230 patients, followed by cardiac (n=77), hepatic (n=23), and renal (n=16) failure. Demographics, injury characteristics, and clinical outcomes of each patient group were compared to patients with no organ failure and shown in
All major clinical outcome parameters for each organ failure are shown in
Sixty-day mortality was the highest in patients with severe kidney failure, followed by liver failure. The best outcome was in burn patients who suffered from pulmonary failure (
Causal relationships of the co-incidence of individual organ failures are shown in
Severe burn injury is associated with profound hypermetabolic and catabolic responses. Protein catabolism leads not only to a failure of the skin barrier but also to impaired organ functions.
Aims of this study were to determine the incidence of single-organ failure, MOF, the time course for organ failure, and the outcomes. We found that 19% of our 821 patients had MOF as captured by the DENVER2 score. To our surprise the highest incidence of organ failure was pulmonary followed by cardiac, liver, and kidney. The worst outcome was in patients with profound kidney or liver failure. The best outcome was in burn patients with pulmonary failure. We also found that burn patients with 3 or more organ failure have an extremely poor prognosis. There were no survivors in the group with three organ failures. The poorest outcome again is associated with kidney and liver and an additional organ failure. These data clearly indicate that single/MOF is important contributors to mortality. The results of our study now necessitate investigations to determine which patients are at high risk to develop organ failure to individualize patient treatment. We believe that early detection of patients at high risk for MOF is important and would result in improved outcomes, as interventions would be implemented early in course of treatment. To our knowledge, there are several studies that are currently investigating the effect of biomarkers on the early detection of MOF.
Manifest and severe renal failure was associated with a high mortality despite recent studies showing that renal failure is usually associated with a good outcome.
One expects that patients with liver failure would have a very poor prognosis, which was confirmed in the present study. Several studies have demonstrated that a bilirubin level above 4 mg/dl is an indicator of poor prognosis with associated high morbidity and mortality.
Burn injury induces dramatic cardiac stress indicated by increased cardiac output, stroke volume, oxygen consumption, and cardiac index.
Postburn pulmonary complications are not only present after inhalation injury. Patients with severe burns have inflammatory processes causing acute respiratory distress syndrome and pneumonia, which are augmented if inhalation injury is present.
Newer studies looking at proteomic and genomic profiles can help to determine which patients are at risk of developing single/MOF (Glue Grant unpublished findings). We believe that once protein(s) or gene(s) are identified, which can direct the treating physicians in identifying the patients at risk of developing organ failure; their outcomes can be dramatically improved. These novel approaches could shorten hospital length of stay and possibly decrease postburn morbidity and mortality. To test whether some biomarkers can differentiate MOF from non-MOF, we measured glucose and several cytokines and CRP. We found that MOF had significantly higher glucose levels, serum IL-6, MCP-1, TNF, and CRP at almost all time points. These markers were not predictive, however, were significantly different during hospital course.
The present study is the first large-scale study demonstrating the incidence of single or MOF. The general incidence of single or MOF is around 20%. Liver and renal failure had the worst outcome, while pulmonary and cardiac have a good prognosis. A combination of three or more organ failures is always fatal with no therapeutic success. We hypothesize that it is now imperative to develop markers to predict patients at high risk for MOF to improve postburn outcomes. We, therefore, would like to emphasize that early detection of organ failure and intervention are needed to improve postburn outcomes.
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Authors declare no conflicts of interest.
We thank all the individuals who participated in this clinical trial. We also would like to thank the research staff for their assistance.
This study was supported by Shriners Hospitals for Children (8660, 8760, and 9145), National Institutes of Health (R01-GM56687, T32 GM008256, and P50 GM60338), and NIDRR (H133A020102).
The mortality rate in patients without MOF was significantly higher during the acute hospitalization. Mortality after day 30 plateaued in the non-MOF group, whereas patients with MOF showed a constant mortality rate till day 60.
Daily average glucose levels, an indicator for stress induced insulin resistance and metabolic dysfunction is associated with the incidence of MOF. Significantly higher systemic glucose levels can be seen in patients with incidence of MOF.
Biochemical markers for inflammation such as IL-6, MCP-1, TNF-α, and CRP compared between the MOF and non-MOF group.
Survival curve of patients stratified according specific organ failure.
Average of DENVER2 points over time for the first 60 days after burn injury of all patients. Respiratory failure tends to decrease after within the first 10 days after injury whereas liver failure has an increasing trend over the first 60 days. Renal and cardiac dysfunction remain at relatively stable along the hospital course.
Demographic characteristics at hospital admission.
| no MOF | MOF | p value | |
|---|---|---|---|
| n | 664 | 157 | |
| Gender | |||
| Male (n) | 436 | 95 | 0.26185 |
| Female (n) | 228 | 62 | |
| Ethnicity | |||
| African American (n) | 53 | 8 | 0.14147 |
| Caucasian (n) | 111 | 21 | |
| Hispanic (n) | 487 | 123 | |
| Other | 13 | 5 | |
| Age at admit (years) | 7.3 ± 5.2 | 8.0 ± 5.8 | |
| Inhalation Injury n (%) | 192 (29) | 89 (57) | <0.00001 |
| Type of burn | |||
| Flame n (%) | 444 (67) | 124 (79.0) | 0.016 |
| Scald n (%) | 166 (25) | 25 (16) | |
| Other n (%) | 54 (8) | 8 (5) | |
| TBSA burn % | 51 ± 16 | 69 ± 18 | <0.00001 |
| TBSA third % | 34 ± 24 | 58 ± 27 | <0.00001 |
| Burn to admit (days) | 3.6 ± 4.3 | 3.3 ± 4.0 | 0.38695 |
Patients are stratified according the incidence of MOF. Patients with MOF had a larger burn size and a higher incidence of inhalation injury.
Clinical outcomes and hospital course.
| no MOF | MOF | p value | |
|---|---|---|---|
| n | 664 | 157 | |
| Max DENVER2 | 2.8 ± 1.1 | 6.2 ± 1.7 | <0.00001 |
| OR n | 3.3 ± 2.5 | 6.3 ± 4.6 | <0.00001 |
| Time between OR (days) | 4.8 ± 1.7 | 4.9 ± 2.3 | 0.3 |
| LOS ICU (days) | 23 ± 18 | 44 ± 39 | <0.00001 |
| LOS/TBSA (days/%) | 0.4 ± 0.3 | 0.6 ± 0.5 | <0.00001 |
| MOF n (%) | 0 (0) | 157 (100) | <0.00001 |
| Sepsis n (%) | 30 (5) | 49 (31) | <0.00001 |
| Major infections n | 2.1 ± 2.3 | 3.3 ± 2.7 | <0.00001 |
| Mortality n (%) | 15 (2) | 65 (41) | <0.00001 |
All major clinical outcome parameters showed impaired in the MOF group. The indicator for wound healing (time between the operations) did not significantly differ between groups.
Patient characteristics at admission stratified according the incidence of individual organ failure.
| All | no Organ | Heart | Liver | Lung | Kidney | p value | |
|---|---|---|---|---|---|---|---|
| n | 821 | 586 | 77 | 23 | 230 | 16 | |
| Gender | |||||||
| male n | 531 | 389 | 44 | 15 | 140 | 12 | 0.91324 |
| female n | 290 | 197 | 33 | 8 | 90 | 4 | |
| Ethnicity | |||||||
| AA | 61 | 45 | 5 | 1 | 16 | 2 | 0.05 |
| C | 132 | 98 | 12 | 2 | 34 | 3 | |
| Hispanic | 610 | 430 | 56 | 18 | 176 | 11 | |
| Other | 18 | 13 | 4 | 2 | 4 | 0 | |
| Age at admission (yrs) | 7.3 ± 5.3 | 7.1 ± 5.2 | 8.3 ± 6.0 | 11.3 ± 5.9 | 7.6 ± 5.6 | 15.3 ± 2.4 | 0.00021 |
| Inhalation Injury n (%) | 281 (34) | 160 (27) | 44 (57) | 14 (61) | 118 (51) | 8 (50) | 0.09 |
| Type of burn | |||||||
| Flame n (%) | 568 (69.2) | 388 (66.2) | 60 (77.9) | 20 (87.0) | 176 (76.5) | 16 (100.0) | <0.00001 |
| Scald n (%) | 191 (23.3) | 151 (25.8) | 11 (14.3) | 0 (0.0) | 39 (17.0) | 0 (0.0) | |
| Other n (%) | 62 (7.6) | 47 (8.0) | 6 (7.8) | 3 (13.0) | 15 (6.5) | 0 (0.0) | |
| Burn size | |||||||
| TBSA burn % | 54.8 ± 17.6 | 50.7 ± 15.5 | 68.0 ± 18.4 | 72.8 ± 16.6 | 64.6 ± 18.7 | 80.3 ± 16.5 | <0.00001 |
| TBSA third % | 38.5 ± 26.5 | 32.4 ± 23.4 | 54.9 ± 29.4 | 59.1 ± 28.5 | 52.7 ± 27.8 | 72.4 ± 27.7 | <0.00001 |
indicate significance between the annotated group and the group no organ failure group. Please see
Clinical outcomes stratified according to specific organ failure.
| All | no Organ | Heart | Liver | Lung | Kidney | p value | |
|---|---|---|---|---|---|---|---|
| n | 821 | 586 | 77 | 23 | 230 | 16 | |
| OR n | 3.9 ± 3.3 | 3.2 ± 2.5 | 5.2 ± 4.6 | 7.5 ± 4.3 | 5.6 ± 4.2 | 6.1 ± 3.1 | <0.00001 |
| LOS ICU | 26.6 ± 23.2 | 22.2 ± 18.2 | 41.5 ± 31.8 | 55.4 ± 28.0 | 41.9 ± 31.7 | 74.5 ± 81.3 | 0.04088 |
| LOS/TBSA | 0.5 ± 0.3 | 0.4 ± 0.3 | 0.7 ± 0.6 | 0.9 ± 0.3 | 0.7 ± 0.4 | 1.0 ± 1.1 | 0.0238 |
| Max DENVER2 | 3.5 ± 1.8 | 2.6 ± 0.9 | 7.2 ± 1.6 | 8.4 ± 1.6 | 5.7 ± 1.7 | 8.3 ± 1.6 | <0.00001 |
| MOF n (%) | 157 (19.1) | 3 (0.5) | 66 (85.7) | 22 (95.7) | 152 (66.1) | 16 (100.0) | <0.00001 |
| Sepsis n (%) | 79 (9.6) | 29 (4.9) | 29 (37.7) | 17 (73.9) | 50 (21.7) | 12 (75.0) | <0.00001 |
| Major infections n | 2.4 ± 2.4 | 2.2 ± 2.3 | 3.6 ± 3.0 | 4.2 ± 3.5 | 2.9 ± 2.6 | 4.3 ± 3.6 | 0.00665 |
| Mortality n (%) | 80 (10) | 11 (2) | 46 (60) | 18 (78) | 68 (30) | 14 (88) | <0.00001 |
Stars indicate significance between the annotated group and the group no organ failure group. Please see
Coincidence and correlation between organ failures.
| (A) | ||||
|---|---|---|---|---|
| Heart | Lung | Kidney | Liver | |
| Heart (77) | NN | 73 | 10 | 16* |
| Lung (230) | 73 | NN | 16 | 22 |
| Kidney (16) | 10 | 16 | NN | 6 |
| Liver (23) | 16* | 22 | 6* | NN |
| (B) | ||||
|---|---|---|---|---|
| 1 Organ | 2 Organs | 3 Organs | 4 Organs | |
| Heart (77) | 4 | 51 | 18 | 4 |
| Lung (230) | 147 | 59 | 20 | 4 |
| Kidney (16) | 0 | 4 | 8 | 4 |
| Liver (23) | 1 | 4 | 14 | 4 |
(A) Displays the coincidence of the single organ failures. Logistic regression revealed a statistically significant relationship between liver failure accompanied by heart and renal failure. (B) Depicts the incidence of single and combined organ failures in the patient population.