pmc92032131135Clin Infect DisClin Infect DisClinical infectious diseases : an official publication of the Infectious Diseases Society of America1058-48381537-6591365730051136178110.1093/cid/ciac966HHSPA2008302ArticleThree-month symptom profiles among symptomatic adults with positive and negative SARS-CoV-2 tests: a prospective cohort study from the INSPIRE groupSpatzErica S.MD, MHS*Section of Cardiovascular Medicine, Department of Medicine, Yale School of Medicine; Department of Epidemiology, Yale School of Public Health, New Haven, CT, USAGottliebMichaelMD*Department of Emergency Medicine, Rush University Medical Center, Chicago, IL, USAWiskLauren E.PhDDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine at the University of California, Los Angeles (UCLA), Los Angeles, CA; Department of Health Policy and Management, Fielding School of Public Health at UCLA, Los Angeles, CA, USAAndersonJillBSN, RNHarborview Center for Prehospital Emergency Care, University of Washington, Seattle, WA, USAChangAnna MarieMD MSCEDepartment of Emergency Medicine, Thomas Jefferson University, Philadelphia, PA, USAGentileNicole L.MD, PhDDepartments of Family Medicine and Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USAHillMandy J.DrPH, MPHDepartment of Emergency Medicine, UTHealth Houston, McGovern Medical School, Houston, TX, USAHuebingerRyan M.MDDepartment of Emergency Medicine, UTHealth Houston, McGovern Medical School, Houston, TX, USAIdrisAhamed H.MDDept. of Emergency Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USAKinsmanJeremiahMPHDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USAKooKatherineMS-HSMDepartment of Internal Medicine, Rush University Medical Center, Chicago, IL, USALiShu-XiaPhDSection of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USAMcDonaldSamuelMD, MSDepartment of Emergency Medicine, University of Texas Southwestern, Dallas, TX, USAPlumbIan D.MBBS, MScNational Center for Immunizations and Respiratory Diseases, Centers for Disease Control & Prevention, Atlanta, GA, USARodriguezRobertMDDepartment of Emergency Medicine, University of California, San Francisco, CA, USASaydahSharonPhD MHSNational Center for Immunizations and Respiratory Diseases, Centers for Disease Control & Prevention, Atlanta, GA, USASlovisBenjaminMDDepartment of Emergency Medicine, Thomas Jefferson University, Philadelphia, PA, USAStephensKari APhDDepartments of Family Medicine, Harborview Center for Prehospital Emergency Care, University of Washington, Seattle, WA, USAUngerElizabeth R.MD PhDNational Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control & Prevention, Atlanta, GA, USAWangRalph C.MD, MASDepartment of Emergency Medicine, University of California, San Francisco, CA, USAYuHuihuiPhDSection of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USAHotaBalaMD, MPH, SVPChief Informatics Officer, Tendo Systems, Inc., San Francisco, CA, USAElmoreJoann G.MD, MPHDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine at the University of California, Los Angeles (UCLA), Los Angeles, CA; Department of Health Policy and Management, Fielding School of Public Health at UCLA, Los Angeles, CA, USAWeinsteinRobert A.MD**Division of Infectious Diseases, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USAVenkateshArjunMD, MBA, MHS**Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA

Drs Spatz and Gottlieb contributed equally

Drs Weinstein and Venkatesh contributed equally

Corresponding Author: Erica S. Spatz, MD, MHS; Section of Cardiovascular Medicine, Yale School of Medicine. 789 Howard Avenue, Dana 3 Building, New Haven, CT 06519, USA. erica.spatz@yale.eduAlternate Corresponding Author: Arjun Venkatesh, MD, MBA, MHS; Department of Emergency Medicine, Yale School of Medicine, 464 Congress Avenue, New Haven, CT 06519, USA. arjun.venkatesh@yale.edu
16820240352023298202476915591566BACKGROUND:

Long-term symptoms following SARS-CoV-2 infection are a major concern, yet their prevalence is poorly understood.

METHODS:

We conducted a prospective cohort study comparing adults with SARS-CoV-2 infection (COVID+) with adults who tested negative (COVID−), enrolled within 28 days of an FDA-approved SARS-CoV2 test result for active symptoms. Sociodemographic characteristics, symptoms of SARS-CoV-2 infection (assessed with the CDC Person Under Investigation Symptom List), and symptoms of post-infectious syndromes (i.e., fatigue, sleep quality, muscle/joint pains, unrefreshing sleep, and dizziness/fainting, assessed with CDC Short Symptom Screener for myalgic encephalomyelitis/chronic fatigue syndrome) were assessed at baseline and 3 months via electronic surveys sent via text or email.

RESULTS:

Among the first 1,000 participants, 722 were COVID+ and 278 were COVID−. Mean age was 41.5 (SD 15.2); 66.3% were female, 13.4% were Black, and 15.3% were Hispanic. At baseline, SARS-CoV-2 symptoms were more common in the COVID+ group than the COVID− group. At 3-months, SARS-CoV-2 symptoms declined in both groups although were more prevalent in the COVID+ group: upper respiratory symptoms/head/eyes/ears/nose/throat (HEENT; 37.3% vs 20.9%), constitutional (28.8% vs 19.4%), musculoskeletal (19.5% vs 14.7%), pulmonary (17.6% vs 12.2%), cardiovascular (10.0% vs 7.2%), and gastrointestinal (8.7% vs 8.3%); only 50.2% and 73.3% reported no symptoms at all. Symptoms of post-infectious syndromes were similarly prevalent among the COVID+ and COVID− groups at 3 months.

CONCLUSIONS:

Approximately half of COVID+ participants, as compared with one-quarter of COVID− participants, had at least one SARS-CoV-2 symptom at 3 months, highlighting the need for future work to distinguish Long COVID.

COVID-19Long COVIDSARS-CoV-2coronavirusregistryoutcomes
INTRODUCTION

Infection with SARS-CoV-2 can lead to prolonged or new symptoms or conditions, often referred to as ‘Long COVID.’ Although definitions vary, the Centers for Disease Control and Prevention (CDC) refers to Long COVID as post-COVID conditions that emerge, recur, or persist beyond 4 weeks following the acute infection.1 Long COVID encompasses a multitude of symptoms affecting individual’s neurocognitive, cardiovascular, pulmonary, musculoskeletal, and psychological health, and impacting people’s ability to work and function in their daily lives.

To date, several prior studies estimate the incidence of Long COVID following an acute COVID infection to be 10–30%;28 however, characterization of the epidemiology of Long COVID has been challenging to study given the range of presentations of Long COVID, different sampling and follow-up methods, and the lack of a comparison group.9 Most prior studies did not systematically and prospectively evaluate participants from the time of SARS-CoV-2 infection through the post-acute period, which may reveal heterogeneity in symptom trajectory and severity. Furthermore, many of these studies were retrospective and relied on convenience sampling at the time of enrollment, thereby introducing risk of selection bias, recall bias, and confounding. Consequently, there is a need to better understand the post-COVID period by systematically investigating the persistence, resolution, and even emergence of new symptoms beyond the acute infectious period in a prospective manner. Moreover, there is a need to systematically evaluate long-term symptoms that may arise from SARS-CoV-2 infection and which may overlap with symptoms that are common among other post-infectious syndromes or medical conditions,10 or potentially even as a result of the physical and mental toll of a pandemic.

Accordingly, the Innovative Support for Patients with SARS-CoV-2 Infections Registry (INSPIRE) was designed to prospectively assess the longitudinal symptoms and outcomes of adults who test positive for SARS-CoV-2 compared with symptomatic adults who test negative by following them from time of testing for up to 18 months, and to determine whether symptoms and recovery differed by age and care setting when enrolled in the study. This initial interim analysis focuses on the early trajectories of participants at 3-month follow-up with the purpose of describing the prevalence and types of symptoms among persons who had acute SARS-CoV-2 infection compared to a group of persons with COVID-like symptoms who were SARS-CoV-2 negative.

METHODSStudy Design

The INSPIRE study is a multisite study across eight healthcare systems funded by the CDC. The study details were previously published,11 and a list of study sites is included in the eFigure 1 in the Supplement. In brief, the study aims to enroll 6,000 participants who underwent testing for SARS-CoV-2 infection to diagnose acute symptoms (i.e., not for screening, exposure, or pre-procedural reasons). Participants are recruited through advertisements at testing sites, outreach through the electronic health record, and coordination with testing sites and Departments of Health to identify people who test positive for SARS-CoV-2 infection. We focused on people with symptoms suggestive of SARS-CoV-2 to distinguish them from asymptomatic people being tested for exposure, surveillance, and preprocedural protocols, to enroll a similar baseline population of SARS-CoV-2-positive (COVID+) and SARS-CoV-2-negative (COVID−) persons who may go on to develop long-term symptoms following acute illness.12

Participants were enrolled if they met the following eligibility criteria: age ≥ 18 years, English or Spanish fluency, self-reported symptoms suggestive of acute SARS-CoV-2 infection at the time of testing (e.g., fever, cough, shortness of breath; see eFigure 2 in the Supplement for pre-qualification screener) and were tested with an FDA approved or authorized molecular or antigen-based assay within the last 42 days (regardless of test result). Participants needed to provide proof of testing result for inclusion. Participants who previously had SARS-CoV-2 infection more than 42 days before the date of enrollment and those who did not have access to an internet-connected device (e.g., smartphone, tablet, computer) for survey completion were excluded. Participants signed an electronic informed consent and were expected to complete a baseline survey followed by serial surveys every three months for a total of up to 18 months. The study uses a cloud-based platform, Hugo Health (Hugo Health LLC, Guilford, CT) that engages patients as data partners and automates a process that enables them to easily and securely collect and share health information – including surveys, medical records, and pharmacy data. This study was reviewed and approved by the Institutional Review Boards of all eight sites.

Survey invitations were sent via text or email (according to the preference of the participant). If a person’s test positivity changed during the duration of the study, we retained them in their initial group for this analysis (2 participants converted to positive during follow-up). Participants received monetary reimbursement for each survey completion. Reminder emails, calls, and texts were sent to encourage participants to complete all surveys. The baseline and 3-month follow-up surveys include questions on sociodemographic characteristics, social determinants of health, baseline health status, testing site, symptoms common for SARS-CoV-2 infection, symptoms of post-infectious syndromes, reinfection or new infection with SARS-CoV-2, patient-reported outcomes on physical, mental, and social well-being, cognitive status, and return to work and daily activities.

COVID Symptom Assessment

The CDC Person Under Investigation symptom list was used to assess symptoms commonly reported with acute SARS-CoV-2 infection. Specifically, we asked participants to identify the presence of each symptom at baseline and again at three months.

Symptoms of post-infectious syndromes

Given the predominance of systemic symptoms such as fatigue, sleep disturbances, cognitive impairment, and muscle and joint pains - symptoms observed in other post-infectious syndromes (e.g., Epstein Barr Virus)13 - we conducted a detailed assessment of these symptoms using a short symptom screener (eFigure 3 in Supplement). This focused screener, shortened to reduce participant burden, was taken from the CDC Symptom Inventory that was validated for studies of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS).14

Consistent with prior work,15,16 we calculated a summary score of the 8 symptoms of post-infectious syndromes by multiplying the frequency and severity and then summing across symptoms to understand the potential impact of these symptoms in a person’s life. A symptom score was produced by standardizing the response choices using the scoring tool guidelines; the score ranged from 0 (no symptoms) to 128 (maximum symptoms).17,18

Analytic Approach

We restricted this analysis to the first 1,000 participants enrolled in INSPIRE between December 7, 2020 and September 9, 2021 who completed both a baseline and 3-month survey. We compared sociodemographic and clinical characteristics between COVID+ with COVID− individuals included in the study, and with non-responders to the 3-month survey who were excluded from the study. We report the frequency of each SARS-CoV-2 symptom type and each organ system (constitutional, upper respiratory symptoms/head/eyes/ears/nose/throat (HEENT), pulmonary, cardiovascular, gastrointestinal, musculoskeletal, and other) at baseline and at 3 months, and the proportion of these symptoms that were never present, resolved, emerged, and persisted. We assessed for the presence of the 8 symptoms of post-infections syndromes, having ≥ 3 symptoms, symptom severity quartiles, and the proportion of scores ≥ 25, since this represents a previously established threshold for considering ME/CFS.19 Additionally, we evaluated characteristics of these symptoms, including whether rest improved the symptom and whether the symptom worsened for at least 24 hours after engaging in physical or mental activities that were previously non-taxing. Participants were also asked whether the symptom was present before the acute illness for which they were tested for SARS-CoV-2. Data analyses were conducted using SAS version 9.4. Sociodemographic and clinical characteristics of the COVID+ and COVID− groups were compared using chi-squared and t-tests for categorical and continuous variables, respectively. P values <0.05 were considered significant. We performed stratified analyses by age groups (18 to 34, 35 to 49, and ≥ 50 years) and by care setting at the time of enrollment (outpatient versus acute care setting [either the emergency department or hospital]).

RESULTSStudy Enrollment

At the time of this interim analysis, 4,256 individuals were screened for participation, among whom 1,743 were excluded either due to incomplete enrollment, ineligibility, or withdrawal from the study. In total, 2,513 individuals enrolled in the study and the first 1,000 with complete baseline and 3-month data were selected for this interim analysis (eFigure 4 in the Supplement).

Participant Characteristics

Among the first 1,000 participants, 722 tested positive for SARS-CoV-2 and 278 tested negative for SARS-CoV-2. Baseline sociodemographic and clinical characteristics are presented in Table 1. The mean ages of participants in the COVID+ and COVID− groups were 41.1 and 42.6 years, respectively; 66.0% and 66.9% were female. Among the total cohort, 13.4% were Black and 15.3% were Hispanic. Pre-existing conditions were less common among the COVID+ group compared with the COVID− group, including asthma (12.8% and 19.3%), hypertension (16.4% and 22.3%), and diabetes (5.9% and 10.4%). The following conditions were similarly represented: overweight or obesity; emphysema; heart conditions; smoking history; kidney disease; and liver disease. Non-responders to the 3-month survey (n=423; excluded from study) were more likely than responders to be older in age, Black race, not of Hispanic ethnicity, earn under $10,000 dollars per year in household income, have private insurance, and have been more likely to have tested at an ambulatory site as opposed to the emergency department or hospital (eTable 1 in Supplement).

COVID Symptoms

Baseline and 3-month symptom prevalence, comparing COVID+ with COVID− participants, is presented in Figures 1a and 1b. The most prevalent baseline symptoms among COVID+ and COVID− groups, respectively, in descending order were: upper respiratory symptoms/HEENT (91.0% and 62.2%), constitutional symptoms (86.7% and 55.4%), pulmonary symptoms (67.9% and 41.0%), musculoskeletal symptoms (64.5% and 38.1%), gastrointestinal symptoms (40.0% and 27.7%) and cardiovascular symptoms (31.0% and 17.6%). At 3-month follow-up, there was a substantial decline in symptoms across all organ systems with most participants in both groups having recovery of symptoms (Figure 2), although symptoms remained more prevalent in the COVID+ group. At 3-month follow-up, 50.2% and 73.3% of participants in the COVID+ and COVID− groups, respectively, did not report any symptoms. Differences by age group and testing site are presented in Table 2.

Symptoms of Post-Infectious Syndromes

Post-infectious symptoms were similar at baseline and 3 months between the COVID+ group and the COVID− group, with the exception that more COVID+ participants had difficulty thinking or concentrating at the time of acute illness, although there was no difference at 3 months (eTable 2 in Supplement, Figure 3). There were some differences by age group and site of enrollment (eTable 2 of the Supplement). The severity of symptoms and the characteristics of the symptoms (e.g., worse post physical or mental exhaustion) were similar between COVID+ and COVID− groups, (eTable 3 and eTable 4 in Supplement). However, in the COVID− group, all post-infectious symptoms were more commonly present before the acute illness than in the COVID+ group.

DISCUSSION

In this prospective cohort study comparing symptomatic adults who test positive for SARS-CoV-2 versus symptomatic adults who test negative, we found that participants in the COVID+ group had more symptoms at baseline as compared to the COVID− group. At 3-month follow-up, most symptoms resolved; however, persistent or emergent symptoms were more common in the COVID+ group with approximately 1-in-2 persons (as compared with 1-in-4 persons in the COVID− group) having at least one symptom. The five most common persistent or emergent symptoms at 3 months in the COVID+ group in descending frequency were: tiredness, loss of smell, muscle aches, loss of taste, and headache. The five most common persistent or emergent symptoms in the COVID− group at 3 months in descending frequency were: tiredness, muscle aches, headache, runny nose, and joint pains.

We also found that the symptoms of post-infectious syndromes, including fatigue/ tiredness/exhaustion, muscle aches, joint pains, unrefreshing sleep, forgetfulness, difficulty thinking or concentrating, and dizziness or fainting were similarly common in both the COVID+ and COVID− participants at 3 months, with 1-in-6 individuals in both groups reporting severe post-infectious symptoms. The similarity of post-infectious symptoms in the COVID+ and COVID− groups support prior studies that these types of symptoms may follow a variety of viral and non-viral infectious insults.10 However, it should also be noted that individuals in the COVID− group were more likely to report having these symptoms prior to their acute illness, suggesting that other chronic conditions may explain the high rate of symptoms in the COVID− group. The COVID− group was older and had more comorbidities underscoring the toll of recovery for younger, healthier people with COVID. Additionally, these symptoms may not be a pure response to infection or underlying medical conditions but reflect a general societal effect of the pandemic (with social isolation, disruption of daily lives, financial stress, and grief);2022 presumably, this could affect both cases and controls leading to overestimation of the effects of SARS-CoV-2 infection and other acute illnesses. Taken together, the recovery from COVID can be marked by significant fatigue, sleep disturbances, muscle aches, and cognitive impairment, which concerningly, is not unlike other non-COVID illnesses that develop in older, more co-morbid cohorts.

Several prior studies awakened the public and medical community to the prevalence of Long COVID, and there have been calls for a more structured research initiative to better understand the epidemiology, characterization, and treatment of this condition.6, 7,8 However, some of these studies lacked an adequate control group and may have been subject to selection bias based on recruitment methods.9 More recent data demonstrate a higher prevalence of Long COVID symptoms among COVID+ as compared with COVID− individuals, although no difference in biomarkers and basic cardiopulmonary testing.23 The CDC reports that 1-in-5 survivors of COVID-19 between the ages of 18–64 years and 1-in-4 aged ≥65 years experienced at least one condition that may be attributable to SARS-CoV-2 infection.24 Our data builds on this early and important work, demonstrating not only that COVID+ individuals continue to have a range of symptoms at 3 months, but that COVID− individuals who had symptoms at the time of testing but were negative for SARS-CoV-2 infection, also have a high burden of symptoms at 3 month follow-up. This study and that of Wisk et al (submitted as companion paper; reference to follow) evaluating well-being at 3 months both highlight the importance of discerning the long-term effects of SARS-CoV-2 illness from other viral illnesses and conditions, and in relation to the general effects of a pandemic as well as to individuals’ underlying health status and social determinants of health. Future research could build upon this complex and intersecting framework.

LIMITATIONS

There are several important limitations to consider. First, testing is imperfect – with false positive and false negative results – which may have led to misclassification. We did not query participants about the test type at time of enrollment or check antibody status, limiting our capacity to determine test performance and rates of misclassification. Additionally, we cannot determine whether symptoms in the COVID+ group are necessarily because of SARS-CoV-2 infection or due to another virus or condition. Relatedly, a minority of patients in the COVID− group had loss of taste and smell, which is common for COVID-19 illness; however, it can also be observed with other viral illnesses or may simply reflects the participant’s reporting of rhinorrhea as opposed to clinically defined anosmia. Several steps were taken to mitigate misclassification. We restricted the study cohort to those with symptoms that are most specific to COVID, which improves COVID-19 diagnostic test performance (i.e., the sensitivity and specificity of the testing for SAR-CoV-2 is higher compared to if we included an asymptomatic group).25 Additionally, to be enrolled in the study, participants needed to provide verification of the COVID test result. Third, at each survey timepoint we asked whether participants tested positive for COVID in the interim from the last survey. Therefore, we believe the rate of misclassification to be low. Finally, any misclassification would bias the results to the null. Second, we observed a discordance between the report of symptoms at screening to confirm study eligibility versus upon completion of the baseline survey, particularly among COVID− participants, likely attributable to allowance of up to 42 days for the initial survey completion. COVID− participants completed baseline surveys on average 9 days following enrollment in comparison to COVID+ participants who completed baseline surveys on average 3 days after enrollment, thereby exacerbating known challenges in self-reported symptom recall. Third, this report is limited to three-month outcomes and may not reflect the longer-term impact. Future work will assess symptoms beyond the three-month time period. Fourth, focusing on interim data of the first 1,000 participants enrolled between December 2020 and September 2021 precluded analysis by different SARS-CoV-2 variants. Fifth, stratified analyses by age group were limited by small sample size. For this reason, we lowered the age limit of the older group to 50 and above; future analyses will focus on the 65 and older age group. Sixth, recruitment was based out of eight academic medical centers, which might reduce generalizability. However, sites were intentionally selected for diversity of geography and populations and were not limited to enrolling individuals from their health system; rather, individuals were broadly recruited and represent over 20 different states. Seventh, as the study required participants to have access to an internet-capable device, this may have led to selection bias. The response rate at 3 months was 70.3% with differences in response rates by demographic characteristics.

CONCLUSION

Adults with acute symptoms suggestive of SARS CoV-2 infection, both those COVID+ and those COVID−, experience a range of symptoms, most of which resolve by 3 months. Still, one-in-two persons in the COVID+ group and one-in-four persons in the COVID− group had at least one post-acute symptom at three months with the most common symptoms being fatigue, headache, loss of taste and/or smell, joint pains, and muscle aches. Post-infectious symptoms such as fatigue, sleep disturbance, and cognitive impairments, generally considered a hallmark feature of post-COVID conditions, occurred at similar rates in the COVID+ and COVID− groups. These findings suggest that recovery from COVID is at least as severe as other post-infectious syndromes occurring in an older, more co-morbid COVID- group.

Supplementary MaterialAcknowledgements:

Please see eFigure 5 in the Supplement

Funding:

The Innovative Support for Patients with SARS-COV-2 Infections Registry (INSPIRE) is funded by the Centers for Disease Control and Prevention (CDC, www.cdc.gov), National Center of Immunization and Respiratory Diseases (NCIRD) (contract number: 75D30120C08008; PI, Robert A. Weinstein, MD). Partners from the CDC (Ian D Plumb, MBBS, MSc, Sharon Saydah, PhD, MHS, Elizabeth R Unger, MD, PhD) assisted with study design and the preparation of this manuscript.

TRIALS REGISTRATION: NCT04610515

Disclaimer: The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention (CDC).

Disclosures:

Dr Nichol reports the following: Vapotherm Inc, Exeter, NH- Research funding; ZOLL Medical, Chelmsford, MA- Research funding; Abiomed Inc., Danvers, MA- Consultant; CellPhire Inc., Rockville, MD- Consultant; CPR Therapeutics, Putney, VT- Consultant; ZOLL Circulation, San Jose, CA- Consultant; Patent- Method for non-imaging ultrasound to measure blood flow during CPR; Non-provisional patent- Method for modifying cell injury associated with reduced blood flow; Dr Elmore reports serving as Editor in Chief of Adult Primary Care topics for UpToDate.

Abbreviations:INSPIRE

Innovative Support for Patients with SARS-CoV-2 Infections Registry

CDC

Centers for Disease Control and Prevention

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A, Baseline COVID symptoms prevalence among 722 COVID+ and 278 COVID− participants in the INSPIRE study enrolled between December 2020 and September 2021. B, Three-month follow-up COVID symptom prevalence among 722 COVID+ and 278 COVID− participants in the INSPIRE study enrolled between December 2020 and September 2021. Abbreviations: COVID, coronavirus disease; INSPIRE, Innovative Support for Patients with SARS-CoV-2 Infections Registry; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

COVID symptom course comparing baseline to 3-mo follow-up among 722 COVID+ and 278 COVID− participants in the INSPIRE study enrolled between December 2020 and September 2021: proportion which never occurred, resolved, persisted, and emerged. Abbreviations: COVID, coronavirus disease; INSPIRE, Innovative Support for Patients with SARS-CoV-2 Infections Registry; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Symptoms of post-infectious syndromes at 3-mo follow-up, comparison of 722 COVID+ and 278 COVID− participants in the INSPIRE study enrolled between December 2020 and September 2021. Abbreviations: COVID, coronavirus disease; INSPIRE, Innovative Support for Patients with SARS-CoV-2 Infections Registry; SARSCoV-2, severe acute respiratory syndrome coronavirus 2.

Baseline characteristics of COVID+ compared with COVID− participants who presented for testing of SARS-CoV-2 infection
TotalCOVID+COVID−

Total n1000722278
Sociodemographic Characteristics N % N % N %P value
Age (at enrollment) 0.005
  18 to 3440640.728839.911842.6
  35 to 4928628.722030.56623.8
  50 to 6421521.516022.25519.9
  65+919.1537.43813.7

Gender 0.072*
  Female64466.346466.018066.9
  Male31332.223233.08130.1
  Transgender/Non-binary/Other151.571.083.0

Ethnicity 0.884
  Hispanic15115.311015.44115.1
  Not Hispanic83384.760284.623184.9

Race 0.007
  Asian899.1527.43713.8
  Black or African American13113.49112.94014.9
  Other/Multiple697.1557.8145.2
  White68570.350872.017766.0

Educational Attainment 0.699*
  Less than high school diploma171.8131.941.5
  High school graduate or GED10611.07811.12810.5
  Some college but did not complete degree14915.410615.14316.2
  2-year college degree879.0659.3228.3
  4-year college degree29030.021831.17227.1
  More than 4-year college degree31732.822031.49736.5

Marital Status 0.008
  Married/Living with a partner50351.538354.212044.3
  Divorced/Widowed/Separated12612.98011.34617.0
  Never married34835.624334.410538.7

Household Income (pre-pandemic) <.001
  Less than $10,000707.2446.2269.6
  $10,000 to $35,00013213.59112.94115.1
  $35,000 to $50,00012412.77610.74817.6
  $50,000 to $75,00012612.910014.1269.6
  $75,000 or more48349.336952.211441.9
  Prefer not to answer444.5273.8176.3

Health Insurance 0.001
  Private only66367.649970.416460.3
  Public only24024.515521.98531.3
  Private & Public424.3253.5176.3
  None363.7304.262.2

Employment (pre-pandemic) 0.031
  Employed, essential or health care worker40941.830943.710036.9
  Employed, not essential or health care worker37338.127038.210338.0
  Not employed19620.012818.16825.1

Clinical Characteristics
Pre-existing conditions
  Asthma (moderate or severe)13714.78512.85219.30.010
  Hypertension or high blood pressure16918.110916.46022.30.034
  Diabetes677.2395.92810.40.015
  Overweight or obesity28030.019429.28632.00.398
  Emphysema or COPD222.4121.8103.70.081
  Heart conditions424.5253.8176.30.087
  Smoking495.2385.7114.10.313
  Kidney disease141.581.262.20.245*
  Liver disease171.8111.762.20.591*

Tobacco use, past 12 months 0.045*
  Daily or near daily545.5365.1186.7
  Weekly262.7243.420.7
  Monthly131.3111.620.7
  Less than monthly444.5365.183.0
  Not at all84186.060184.924088.9

COVID testing site <.001*
Nonacute Care Settings
  At home testing kit151.5101.451.8
  Clinic including an Urgent Care Clinic14314.410414.53914.0
  Tent/Drive-up testing site52653.040356.412344.2
Acute Care Settings
  Hospital14414.510114.14315.5
  Emergency Department909.1466.44415.8
Other757.6517.1248.6
Hospitalization
Hospitalized for COVID+768.17210.841.5<.001
ICU Hospitalization for COVID+293.1274.120.70.008

Note: Percentages are calculated among non-missing responses.

Abbreviations: GED (general educational development); COPD (chronic obstructive pulmonary disease); ICU (intensive care unit)

For variables with cell expected values < 5, p-values were estimated using Fisher exact method; chi-square tests were used to derive other p values.

Prevalence of symptoms at 3-month follow-up, comparing COVID+ vs COVID− participants by age group
3-Month Follow-up*
TotalCOVID+COVID−
nCol. %nCol. %nCol. %p-value
Total Participants (Any Symptoms)
  Yes43343.335949.77426.6<.001
  No56756.736350.220473.3
Age Group: 18 to 34 n 406 288 118
Symptom Category
Constitutional (at least one)9222.76823.62420.30.475
HEENT (at least one)11728.88930.92823.70.147
Pulmonary (at least one)5914.54616.01311.00.198
Musculoskeletal (at least one)5313.13712.81613.60.847
Gastrointestinal (at least one)338.1227.6119.30.573
Cardiovascular (at least one)358.6289.775.90.217
Other Symptoms61.551.710.80.676*
3+ Symptoms8821.76422.22420.30.676
No Symptoms selected25262.216958.98370.30.031
Age Group: 35 to 49 n 286 220 66
Symptom Category
Constitutional (at least one)8529.77232.71319.70.042
HEENT (at least one)11339.59945.01421.2<.001
Pulmonary (at least one)4515.73415.51116.70.813
Musculoskeletal (at least one)6522.75424.51116.70.18
Gastrointestinal (at least one)238.0209.134.50.234
Cardiovascular (at least one)289.82310.557.60.49
Other Symptoms238.0177.769.10.721
3+ Symptoms8228.76830.91421.20.127
No symptoms selected14149.39442.74771.2<.001
Age Group: 50+ 306 213 93
Symptom Category
Constitutional (at least one)8427.56731.51718.30.018
HEENT (at least one)9631.48138.01516.1<.001
Pulmonary (at least one)5718.64722.11010.80.019
Musculoskeletal (at least one)6320.65023.51314.00.059
Gastrointestinal (at least one)309.8219.999.70.961
Cardiovascular (at least one)299.5219.988.60.73
Other Symptom227.3199.033.30.076
3+ Symptoms8026.16530.51516.10.008
No symptoms selected17156.49846.47379.3<.001

Note: Percentages are calculated among non-missing responses.

Abbreviations: HEENT (head/ears/eyes/nose/throat)

For variables with cell expected values < 5, p-values were estimated using Fisher exact method; chi-square tests were used to derive other p values.

Key Points:

Among persons testing for acute viral symptoms suggestive of SARS-CoV2, emergent/persistent symptoms at 3 months were common, reported by approximately half of COVID+ participants and one-quarter of COVID- participants. Post-infectious syndromes were equally common in both groups at 3 months, highlighting the challenges in identifying symptoms specific for Long COVID and the importance of longitudinal studies including comparison groups.