Figures
Abstract
Background
U.S. military veterans deployed to the Persian Gulf to serve in the 1990–1991 Gulf War (GWVs) have expressed concerns about potential increased risk of experiencing adverse COVID-related health outcomes given broad near-unique exposure to multiple diverse toxic agents during deployment and ongoing ~30% prevalence of Gulf War Illness (GWI+), a chronic, medically unexplained multi-symptom disorder associated with inflammation and immune dysregulation.
Methods
We conducted a retrospective study in the largest nationwide research cohort of 1990−1991Gulf War era veterans (GWEVs) enrolled in the VA’s nationwide Million Veteran Program (MVP) to interrogate: 1) if deployed GWVs had increased risk for testing positive for novel SARS-CoV-2 infection (COVID+), COVID-related hospitalization, ICU admission, or death in 2020 (pre-vaccine period); and 2) if deployed GWVs with GWI+ had particularly increased susceptibility. COVID outcomes ascertained using VA’s COVID Data Resource; GWI+ determined using CDC severe criteria in surveyed GWV subcohort.
Findings
Our overall GWEV cohort (N = 136,868) had mean age 60.7 years, with 84% male, 27% African-American, and 22% deployed; n = 26,141 COVID-tested in 2020. COVID test-positivity (COVID+) was slightly higher in deployed GWVs (18.8% vs. 17.2% in non-deployed GWEVs, p = 0.005). In multivariable logistic models, there were neither strong nor significant associations between deployment and testing COVID+, COVID-related hospitalization or ICU admission (adjusted [adj] ORs ranged from 0.90–1.06, all p-values >0.05), nor significant differences in COVID-related mortality. Preliminary analysis in our pre-pandemic surveyed deployed GWV subcohort (N = 1,643 COVID-tested, 39% GWI+, 18.4% testing-COVID+, 10.6% COVID+ hospitalized) suggested GWI+ potentially associated with significantly increased COVID-hospitalization risk (adjOR=2.21, 95%CI: 1.02–4.81, p = 0.04); though no significant excess was observed for COVID-related ICU admission or mortality.
Conclusions
Our findings demonstrated that overall deployment to serve in the 1990–1991 Gulf War was not associated with increased COVID-related health risks among Gulf War era veterans using VA healthcare system in early pre-vaccine pandemic era. Preliminary findings suggesting association between Gulf War Illness and potential increased COVID-related hospitalization risk among deployed Gulf War veterans in the early pandemic era warrants replication and ongoing evaluation to assess if it persists in the era of COVID vaccination, oral anti-COVID medications and new viral variants.
Citation: White DL, NonoDjotsa ABS, Ahmed ST, Boyle SH, Gaziano JM, Thompson AD, et al. (2026) Association between deployment and Gulf War Illness and adverse COVID outcomes in a nationwide cohort of 1990–1991 Gulf Era war veterans in the VA’s Million Veteran Program. PLoS One 21(6): e0348594. https://doi.org/10.1371/journal.pone.0348594
Editor: Bala Munipalli, Mayo Clinic College of Medicine and Science, UNITED STATES OF AMERICA
Received: October 6, 2025; Accepted: April 19, 2026; Published: June 15, 2026
This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
Data Availability: Access to MVP data is limited to eligible VA system users only pursuant to U.S. Department of Veterans Affairs policy. Information regarding VA system user eligibility and MVP data application requirements are available at https://vaww.research.va.gov/funding/docs/MVP-Feasibility-Request-Process-for-VA-Investigators.pdf or by contacting MVPLOI@va.gov.
Funding: This research is based on data from the VA Million Veteran Program (MVP), Office of Research and Development, and was supported by award MVP#029 from the U.S. Department of Veterans Affairs and by VA Cooperative Studies Program Study #2006 (CSP#2006). Drew Helmer receives salary support from VA Health Services Research & Development CIN 13-413 and Donna White from VA Clinical Research Service & Development 1I01CX002738.
Competing interests: The authors have declared that no competing interests exist.
Abbreviations: ADJ, adjusted; CAHD, coronary atherosclerotic heart disease; CDC, Centers for Disease Control and Prevention; CI, Confidence interval; CIPHER, Centralized Interactive Phenomics Resource; COVID+, any VA PCR laboratory test confirmed definite COVID+ test finding between 3/1/2020-12/31/2020; COVID-, VA laboratory test findings all confirmed definite COVID negative; CSP2006, VA Cooperative Studies Program Genomics of Gulf War Illness study cohort (alsoMillion Veteran Program (MVP) 029); CSDR, VA’s COVID Shared Data Resource; DoD, U.S. Department of Defense; GWI+, Gulf War Illness positive based on meeting CDC severe GWI criteria; GWI-, Gulf War Illness absent as not meeting CDC GWI criteria; GWEV, veteran with confirmed military service in the 1990-1991 Gulf War era period; GWV, GWEV deployed to Persian Gulf conflict theater to serve in 1990-1991 Gulf War; IOM, Institute of Medicine; ICU, intensive care unit; MRR, mortality rate ratio; NAS, National Academy of Sciences; NDI, National Death Index; N.S., not statistically significant; OR, Odds Ratio; PCR, polymerase chain reaction; PG, Persian Gulf; MVP, VA Million Veteran Program; VA, U.S. Department of Veterans Affairs
Background
As of the end of December 2024, the World Health Organization reported >777 million COVID-19 infections and >7.1 million deaths recorded globally since the first COVID-19 cases were reported in mid-December 2019 [1]. The U.S. still leads the world in total confirmed COVID cases (103 million) and deaths (1.2 million) and, although the number of the most serious COVID-related outcomes (hospitalizations, ICU admissions, and deaths) have declined, COVID-19 remained in the top 10 leading causes of death in the U.S. in 2023 [2].
COVID-19 is a globally recognized disease of disparities, disproportionately impacting older adults, race/ethnic minority and socioeconomically marginalized populations, and with comorbidities such as obesity, immune compromise, neurological and respiratory conditions. Inequities were especially apparent among workers in occupations with elevated SARS-CoV-2 exposure risk during the pre-vaccine period. It is not well-established, however, whether occupational cohorts with known substantial exposure to other health hazardous agents faced further increased health risks with SARS-CoV-2 infection.
One historically highly occupationally exposed cohort includes the almost 700,000 U.S. veterans—about one-quarter of all U.S. military personnel at the time—who deployed to the Persian Gulf (PG) to serve in the 1990–1991 Gulf War (GW) as part of a multinational military response to Iraq’s invasion of Kuwait. These deployed Gulf War veterans (GWVs) are well-recognized for experiencing broad and, in some cases, near unique combination of exposure to potentially multiple health hazards during deployment, including extensive inhalation of smoke from more than 650 oil well fires and harmful-sized and environmentally cross-contaminated blowing desert sand, low-level nerve agent (sarin/cyclosarin) exposure during chemical weapon plant demolition, and wide self-administered use of anti-nerve agent pyridostigmine bromide pills as pre-exposure prophylaxis to prevent harm when concerned about possible chemical weapon exposure [3–7]. Others included experimental vaccines (e.g., anthrax), depleted uranium munitions, high dosage of widely applied military-grade pesticides, as well as hazards also common in later military conflicts including post-9/11 deployments to Afghanistan and Iraq, such as open burn pits, occupational chemicals, psychological and physical stress, heat, traumatic brain injury, multiple vaccinations, and local zoonoses.
Soon after returning from PG deployment, the deployed GWV cohort drew national attention and Congressionally statute mandated expert research advisory panels and on-going follow-up to evaluate potential long-term health effects associated with these deployment-related exposures given early, elevated prevalence of several unusual health conditions. In addition to suggestive small clusters of early onset cases of two rapidly fatal neurological diseases, amyotrophic lateral sclerosis (ALS) and brain cancer that are extremely rare and occur almost exclusively in older adults in the general population, this also included large numbers of young recently returned and previously healthy deployed GWVs reporting onset of persistent, debilitating, and medically-unexplained clinical symptoms. They frequently spanned multiple clinical domains, most prominently neurological (e.g., cognitive impairment, pain, fatigue, sleep, autonomic, mood disturbance) and dermatologic, gastrointestinal, respiratory, with symptoms typically beginning during or shortly after deployment [4,8,9]. Now termed Gulf War Illness (GWI+), it is estimated that over 30% of deployed GWVs remain affected even decades after the conflict ended with this high burden disorder [ 3,4,10–13], with emerging experimental and pre-clinical evidence supporting a neuro-immune etiology arising from persistent immune dysregulation following neurotoxic deployment exposures [14–16].
We conducted a retrospective study leveraging the largest nationwide research cohort comprised of >136,000 veterans with military service during the 1990−1991 Gulf War era (GWEVs) enrolled in the U.S. Department of Veterans Affairs (VA) Million Veteran Program (MVP) [17] to assess whether deployment to the Gulf War conflict theater or having GWI+ were associated with increased risk of developing SARS-CoV-2 infection or having more severe COVID-19 outcomes (hospitalization, ICU admission, death). We purposively restricted our evaluation to the early pandemic-period of 2020, prior to advent and wide-scale availability of COVID vaccines, effective oral anti-COVID pharmacotherapy, widespread immunity, and viral variant emergence to evaluate potential impact of deployment and GWI+ on contemporary GWEV cohort’s baseline susceptibility to this novel respiratory pathogen.
Methods
Study design and GWV Cohort Identification
Our retrospective parent Gulf War era veteran (GWEV) cohort was originally identified for the VA’s Cooperative Studies Program #2006 (CSP2006) Genomics of Gulf War Illness (GWI) study (also known as MVP study #029 [MVP029]) and is well-described elsewhere [18–22]. Briefly, it included >109,000 Department of Defense-confirmed 1990–1991 GWEVs using the VA healthcare system, the largest single integrated nationwide healthcare provider in the U.S. serving >9 million veterans (around half of the ~ 18 million living U.S. veterans). They were identified from among N = 589,620 study eligible veterans enrolled in the VA’s mega-biobank Million Veteran Program (MVP) study between 2011 inception and May 2018. As well-described elsewhere [17], they as MVP participants had written informed consent congruent with the Common Rule obtained at time of MVP recruitment that covers completion of baseline and lifestyle health surveys, provision of blood sample for DNA extraction and genetic testing, linkage with VA’s comprehensive electronic health record (EHR) and administrative healthcare databases for use in MVP approved research, and willingness to be recontacted for future research studies.
We for purposes of the current COVID study subsequently expanded the original parent CSP2006/MVP029 Genomics of GWI study cohort to include >29,000 DoD-confirmed GWEVs newly MVP-enrolled between June 2018 through December 2019. Our final COVID study-eligible expanded cohort was restricted to 136,868 GWEVs confirmed alive as of study start-date 3/1/2020.
Our CSP2006/MVP029 study protocol including amendments to original parent cohort protocol needed to perform current COVID-related research using extant databases with anonymized data was approved by VA’s Central Institutional Review Board (cIRB) subcommittee that oversees all MVP-related research (VA cIRB #19–26). Access to MVP data is limited to eligible VA system users only pursuant to U.S. Department of Veterans Affairs policy. Information regarding VA user eligibility and MVP data application requirements are available at https://vaww.research.va.gov/funding/docs/MVP-Feasibility-Request-Process-for-VA-Investigators.pdf or by contacting MVPLOI@va.gov.
Identification of GWI in Deployed GWVs in CSP2006 Parent Cohort
As previously described, all eligible original CSP2006 parent cohort members were mailed a one-time 1990–1991 GWEV specific health symptom, medical and military risk factor survey used to identify presence of GWI+ between summer 2018-spring 2019 [18,20]. Given absence of a definitive biomarker or diagnostic test, GWI+, like other prominent chronic medically unexplained multi-symptom disorders including post-viral chronic fatigue syndrome/myalgic encephalitis (CFS/ME) and long COVID, is clinically diagnosed based on presence of self-reported patient symptom profiles meeting guideline criteria after exclusion of other potential causes.
We used algorithmic methods we previously developed [23] to apply both National Academy of Sciences (NAS)/Institute of Medicine (IOM) recommended gold-standard CDC [8] and Kansas [9] symptom-based research case definitions to 2018 Gulf War survey responses to identify and characterize severity of GWI+ in our parent CSP2006 cohort [18–22]. For our current COVID analyses, we a priori elected to use only the CDC (Fukuda) chronic multisymptomatic unexplained illness (GWI+) criteria to determine GWI+ case-status in deployed GWVs to reduce multiplicity of statistical comparisons. We also further limited GWI+ to deployed GWVs who met CDC severe criteria to reduce likelihood a potential undiagnosed major medical condition would explain necessary sufficient symptom breadth, burden and duration required to meet diagnostic criteria, while also not excluding those with non-serious and clinically manageable medical conditions that become increasingly prevalent with age (e.g., well-controlled diabetes).
The additional 29,000 GWEVs added to the expanded original parent cohort did not receive the post-enrollment GW survey used to define presence of GWI+.
SARS-CoV2 testing and COVID-19 related health outcomes in 2020
Description CSDR Primary COVID Data Source.
We used VA’s COVID Shared Data Resource (CSDR) which since 3/1/2020 has applied large data informatic methods to comprehensive VA electronic healthcare record (EHR) and linked administrative databases to comparably identify and capture specific algorithmically-defined baseline phenotype and COVID-related health variables on all veteran VA healthcare users identified as potentially COVID-infected (i.e., ever-tested for/diagnosed with COVID) [24,25].
COVID testing and outcome variables.
We utilized pre-defined CSDR variables to characterize our GWEV cohort members as: 1) Ever-tested if had ≥ 1 SARS-CoV PCR/antigen laboratory test resulting in a confirmed positive/negative result performed in 2020 (and never-tested if no COVID data in CSDR); 2) COVID± if lab test result(s) were ever confirmed COVID+, or as COVID- if lab test result(s) only negative; 3) COVID-related hospitalization± if newly hospitalized within ≤14 days of being lab-confirmed COVID+; 4) COVID-related ICU admission± if new ICU admission during COVID-hospitalization; and 5) COVID-related death if died ≤30 days of being lab-confirmed COVID+.
Sociodemographic, Military Service and Clinical Confounding Variables.
We ascertained key sociodemographic (age, race/ethnicity, sex, marital status) and Department of Defense (DoD) confirmed 1990–1991 Gulf War (GW) era military service (PG deployment status, rank, branch, unit component) characteristics for our ~ 29,000 newly added COVID-study eligible GWEVs employing the same VA-DoD merged personnel registry database (VADIR) previously used to comparably characterize them across survey responders and non-responders in our parent cohort [20]. Our final COVID-study eligible expanded CSP2006 cohort included: n = 24,178 deployed GWVs (DoD-confirmed ≥1 day of active military service during 1990–1991 GW era period [August 2, 1990-July 31, 1991] was in the Persian Gulf (PG) conflict theater zone including Iraq, Kuwait, Saudi Arabia, adjacent PG waters/airspace); and n = 86,549 non-deployed GWEVs (DoD-confirmed all 1990–1991 GW era military service occurred only elsewhere). The n = 9,231 DoD-confirmed deployed GWVs parent cohort survey respondents with CDC-classifiable GWI+ case-status comprise what is hereafter referred to as our deployed GWV surveyed subcohort used in all GWI+ analyses. For all COVID-tested GWEVs (i.e., thus are included in the CSDR), we obtained the following additional a priori-specified potential confounders associated with COVID outcomes including in veterans using VA healthcare [26–29] algorithmically captured by the CSDR for the two-year period prior to COVID test index date including: Elixhauser comorbidity index [30]; body mass index (BMI); VA healthcare utilization in prior year; non-VA medical co-insurance; geographic region, and lifetime smoking status based on routine VA-mandated health factor screenings.
Analysis plan
We calculated standard descriptive measures (e.g., mean/%) to summarize our cohort’s sociodemographic and 1990–1991 GW era military service characteristics, both overall and among those ever lab-tested for COVID in 2020; and chi-square/Fisher’s exact and t-tests to interrogate potential differences between deployed GWVs and non-deployed GWEVs and deployed GWI+ vs. deployed GWI- GWVs, and respectively.
Regression analyses for CSDR-determined COVID-related testing and outcomes – We utilized well-established epidemiological research practice [31] and methods [32,33] employing a staged hierarchical logistic regression modeling approach with purposive selection of evidence-based a priori specified confounders to comparably interrogate whether deployment to 1990–1991 PG conflict theater (in our overall ever COVID-tested cohort), or presence of GWI+ (in our ever COVID-tested deployed surveyed subcohort) was associated with increased relative risk for each COVID outcome (i.e., testing COVID+, COVID-related hospitalization/ICU admission/death) after accounting for other confounding risk factors.
Our basic approach included performance of univariable analysis examining association between each primary military exposure of interest (e.g., PG deployment in overall GWEV cohort) and all a priori specified potential confounders with each individual COVID-related outcome (e.g., testing COVID+). This was followed by creation of three tiered multivariable models model including: 1) a minimal model adjusting for age, race/ethnicity, gender and Elixhauser comorbidity score, all a priori designated as core confounders retained in all multivariable models regardless of statistical significance given biological plausibility and strength of epidemiological evidence [26–29]; 2) a full (saturated) model including minimal model covariables plus any of our other a priori specified potential confounders (comparably dichotomized to improve model reliability, precision, and stability given sample size related power constraints in deployed GWV subcohort) that had univariable p-values<0.25, a recommended threshold [34] chosen to allow for potential heterogeneity; and 3) a final reduced (parsimonious) model retaining minimal model core confounders plus any other potential confounders included in the full model that were retained in final reduced model which was obtained using backward elimination if significant at p < 0.05 level chosen given power constraints and to avoid potential model overfit; with full and iteratively reduced models compared with likelihood ratio tests and Wald tests used for individual covariable significance [32,33]. We used listwise deletion to handle minimal missing data except for geographic region where ~10% missing retained as distinct category. All model results presented as odds ratios (ORs) and associated 95% confidence intervals (CIs).
National Death Index (NDI)-determined COVID mortality in CSP2006 cohort- To determine total COVID-related mortality burden in our entire COVID-study eligible CSP2006 cohort, including the N = 110,727 never-tested and thus without CSDR COVID-related mortality data, we conducted an additional NDI database search to identify all cohort deaths between 3/1/2020-12/31/2020. We classified deaths as COVID-related if ICD-10 diagnostic code for COVID-19 (U07.1) was recorded as the underlying or a contributing cause vs. as death by ‘other cause’. We calculated age-adjusted COVID-related mortality rates/1,000 using the direct method with the overall CSP2006 cohort (N = 136,868) employed as the standard population, and calculated mortality rate ratios (MRRs) and associated 95% CIs to interrogate if adjusted rates significantly differed by deployment status in our overall cohort and by GWI case-status in our deployed surveyed subcohort.
We also performed a novel secondary NDI analysis to assess concordance between VA CSDR identified COVID-related deaths (i.e., death occurred in lab-confirmed COVID+ case within 30 days of diagnosis based on then available administrative and electronic health record (EHR)-determined vital status data extracts) vs. was recorded on their official U.S. death certificates available two years later in the NDI datafile.
Analytic software
All statistical analyses were performed using Python 3.11.7 (https://python.org/).
Results
COVID Testing and health outcomes: Comparison of Deployed vs. Non-Deployed GWVs
COVID-tested cohort description: Our VA COVID Shared Data Resource (CSDR) searches identified 26,141 (>19%) of our COVID-study eligible CSP2006 Gulf War era veteran (GWEV) cohort members had ≥ 1 VA lab-performed PCR or antigen test with confirmed SARS-CoV-2 test findings between 3/1/2020 and 12/31/2020. (Fig 1) Almost 22% (n = 5,707) were deployed GWVs; deployed a few years younger (mean age: 58.0 vs. 60.6 in non-deployed GWEVs), and modestly more likely male (86.9% vs. 79.7%) and African-American (34.2% vs. 29.7%) than non-deployed GWEVs, all p-values<0.001. (S2 Table) Sociodemographic and military characteristics in our never-tested GWEVs (n = 110,727) were broadly similar with those in ever-tested, with again only modest differences in magnitude (e.g., mean age: 58.6 vs. 61.5 years, African-American: 30.1% vs. 24.6% in never-tested deployed vs. non-deployed GWEVs, respectively, p-values<0.001) (S2 Table).
(A) Among the N = 26,141 GWEVs with a VA-confirmed PCR/antigen COVID test between 3/1/2020 and 12/31/2020, the figure shows branching by deployment status (Deployed N = 5,707, 22%; Non-Deployed N = 20,434, 78%), COVID test result (COVID+ or COVID−), and vital outcome (Alive, Died COVID,d or Died Other Cause). The N = 110,727 GWEVs not lab-tested for COVID are cross-referenced to S5 Fig. Superscript footnote definitions: a CSP2006 COVID-study eligible expanded cohort of 136,868 DoD-confirmed GWEVs enrolled in MVP by 2020 and confirmed alive as of 3/1/2020. b VA COVID Shared Data Resource (CSDR) identified as VA-confirmed PCR/antigen laboratory test between 3/1/2020 and 12/31/2020. c PCR/antigen laboratory test confirmed COVID+ if ever tested COVID+, and COVID− if all test results confirmed COVID− during the study period. d National Death Index (NDI) death-certificate match: COVID listed as underlying or contributing cause of death; otherwise coded other cause of death; no match indicates alive through 12/31/2020.
COVID-related testing and health outcomes: 1) Test positivity: Overall crude COVID test positivity was higher in deployed GWVs (18.8%) vs. 17.2% in non-deployed GWEVs (p < 0.005). (Table 1) Deployed COVID+ (n = 1,072) were ~2.2 years younger (mean age: 57.4 vs. 59.6 non-deployed GWEVs), and modestly but significantly more likely to be male (88.4% vs. 83.6%) and African-American (38.2% vs. 31.6%) vs. non-deployed COVID+ GWEVs (n = 3,514). (S2 Table) Deployment was associated with significantly increased COVID test-positivity risk (ORunadj: 1.11, 95% CI: 1.03–1.20, p = 0.005) in univariable analysis. (Table 2) However, associations were attenuated and non-significant in adjusted tiered-multivariable models (range ORsadj: 1.04–1.06, N.S.).
- 1). COVID-related hospitalization: Unadjusted COVID-related hospitalization prevalence was low and non-significantly different by deployment status (13.5% in deployed GWVs vs. 15.2% in non-deployed GWEVs, p = 0.18). (Table 2) Deployment was similarly not associated with COVID-related hospitalization risk across tiered-multivariable models (ORsadj range: 0.87–0.90, all p-values≥0.23). (Table 2)
- 2). COVID-related ICU admission: Crude ICU admission prevalence during COVID-hospitalization was significantly lower in deployed GWVs (25.5% vs. 34.3% in non-deployed GWEVs, p = 0.047, Table 1), with significant reduced relative ICU admission risk in univariable analysis (ORunadj = 0.66, 95% CI: 0.43–0.99). (Table 2) However, effects were attenuated and non-significant in all tiered-multivariable models (e.g., ORadj_final = 0.72, 95% CI: 0.47–1.10, p = 0.13).
- 3). COVID-related 30-day mortality: There were 103 COVID-related deaths among 4,586 lab-confirmed COVID+ GWEVs, with 2.2% of both deployed GWVs and non-deployed GWEVs dying within 30 days of test-positivity. (Table 1) Deployment was not significantly associated with COVID-related mortality in univariable (ORunadj = 0.99, p > 0.99) through final multivariable analysis (ORadj_final = 1.27, 95% CI: 0.79–2.05, p = 0.32). (Table 2)
COVID testing and health outcomes: Comparison of GWI+ vs. GWI- in deployed surveyed sub-cohort
COVID-tested deployed sub-cohort description: There were 1,643 deployed GWV sub-cohort members (n = 645 [35%] meeting CDC severe GWI criteria [GWI+] and n = 998 [65%] GWI-) who were COVID-tested in 2020. (S5 Fig) COVID-tested deployed GWVs who were GWI+ were ~1.3 years younger (mean = 59.0 vs. 60.3 GWI-), modestly more likely to be non-White (e.g., Black: 33.5% vs. 22.9%) than ever-tested deployed GWVs who were GWI-, p-values<0.001. (S2 Table)
COVID-related testing and health outcomes: 1) Test positivity: Among 303 deployed sub-cohort members who tested COVID+, 37% (n = 111) were GWI+, with GWI+ ~ 1 year younger than both COVID+ GWI- and also GWVs who were GWI+ but tested only COVID- (mean age: 57.9 COVID+ GWI+ vs. 59.0 and 59.2 years in COVID+ GWI- and COVID- GWI+, respectively). (S2 Table) Overall crude COVID test positivity was non-significantly 2% lower in GWI+ (17.2% vs. 19.2% GWI-). (Table 1) GWI+ was not associated with relative COVID+ risk across tiered-multivariable models (e.g., ORadj_final_reduced = 0.82, 95% CI: 0.62–1.07, p = 0.15). (Table 2)
- 2). COVID-related hospitalization: Approximately 10% (n = 32) of COVID+ deployed GWV subcohort members were hospitalized within 14 days, with significantly higher crude prevalence observed in deployed GWI+ (16.2% vs 7.3% in deployed GWI-, p = 0.02). (Table 1) GWI+ was associated with a suggestive >2-fold increased relative COVID-related hospitalization risk across all tiered logistic models (e.g., ORunadj = 2.46, p = 0.02; ORadj_final_parsimonious = 2.20, p = 0.04). (Table 2) We found similar suggestive over two-fold significant increased relative risk in post hoc multivariable sensitivity analyses where we further dichotomized non-binary core confounders (Age, Elixhauser, Race/Ethnicity) to further increase model reliability and precision, and in sub-group analysis limited to males only. (data not shown)
Post-hoc exploratory evaluation of clinical comorbidities in association between GWI± and COVID-hospitalization risk
We added a secondary post-hoc hypothesis generating descriptive evaluation to explore if any of the 15 most prevalent individual clinical factors included in Elixhauser comorbidity index [ 30] or among CDC evidence-based review conditions associated with severe COVID risk [26] may be selectively associated with our suggestive preliminary finding of >2-fold potential excess relative COVID-related hospitalization risk among deployed GWVs who were GWI+. We employed well-established epidemiological practice including p-value threshold of p < 0.20 [ 34] without further correction for multiple comparisons [ 35,36] to guide descriptive exploratory identification of potential suggestive additional confounders to prioritize for examination in future large sample hypothesis testing research.
We found three conditions suggestively potentially more common in deployed GWI+ who were COVID-hospitalized vs. similarly COVID+ deployed GWVs also COVID-hospitalized but who were GWI-; depression (occurred in 13 of 18 [72%] GWI+ COVID-hospitalized vs. 3 of 14 [21%] GWI- COVID-hospitalized, p = 0.01); bronchitis (in 5 of 18 [28%] GWI+ but in 0 of 14 GWI-, p = 0.05); and coronary atherosclerotic heart disease [CAHD] (also in 5 of 18 [28%] GWI+ but in 0 of 14 GWI-, p = 0.05). (Table 3)
Depression, however, was similarly highly prevalent among COVID+ GWI+ who were not ultimately hospitalized for COVID (occurring in 62 of 93 [67%] vs. 72% in GWI+ who were COVID-hospitalized, N.S.). In contrast, both bronchitis and CAHD were also suggestively potentially differentially more prevalent in deployed COVID+ GWI+ who were COVID-hospitalized vs. COVID+ GWI+ who were not ultimately hospitalized for COVID (bronchitis: 28% in GWI+ COVID hospitalized vs. 7% GWI+ not hospitalized, p = 0.02; and CAHD: 28% GWI+ hospitalized vs. 13% GWI+ not hospitalized, p = 0.14, respectively). (Table 3) Although we cannot distinguish type of bronchitis based on CSDR-identified bronchitis (which captures both chronic and acute bronchitis diagnostic codes) given inability to perform confirmatory chart review within the VA’s CSDR framework, 4 of 5 also had COPD diagnostic codes, suggesting multiple bronchitis cases may be chronic.
- 3). COVID-related ICU admission: Only 5 deployed COVID+ sub-cohort members hospitalized for COVID were subsequently ICU-admitted, with similar non-significantly different crude ICU prevalence rates (16.6% GWI+ vs. 14.3% GWI-, respectively). (Table 1) Limited numbers precluded modeling.
- 4). COVID-related mortality: There were only 8 deaths within 30 days of testing lab-confirmed COVID+, with non-significantly different low crude COVID-related mortality (1.8% in deployed GWI+ vs. 3.1% in GWI-, p = 0.71). (Table 2) Limited numbers precluded modeling.
National Death Index-determined overall and COVID-related mortality burden in GWVs in 2020
Study flow diagram Fig 1 includes final National Death Index (NDI) death-certificate determined vital status in our COVID-tested GWEV cohort as of the end of the study period, 12/31/2020. See Supplemental Results for documenting excellent concordance between NDI-determined COVID mortality and VA CSR&D 30-day COVID mortality, and comparative impact on overall survival in the 10-month early pandemic period in 2020 vs. year prior. (S4 Text)
COVID mortality burden associated with Deployment:.
There were N = 207 CSP2006 GWEV cohort members who died with COVID as death certificate-recorded cause of death; including n = 100 (48%) among 4,586 lab-confirmed COVID+ GWEVs (Fig 1) and n = 96 (46%) among 110,727 GWEVs never COVID-tested in 2020. (S5 Fig)
Of the N = 110,727 GWEVs not lab-tested for COVID (cross-referenced from Fig 1), the figure branches by deployment status (Deployed N = 24,178, 22%; Non-Deployed N = 86,549, 78%) and vital outcome (Alive, Died COVID,d or Died Other Cause) through 12/31/2020. The ever COVID-tested subcohort (N = 26,141) is cross-referenced to Fig 1. Footnote definitions are as in Fig 1.
Overall deployment to serve in 1990–1991 PG conflict theater zone was not associated with any death-certificate based metric of COVID mortality burden: with extremely low proportions of both deployed GWVs and non-deployed GWEVs who never received a VA-lab confirmed COVID+ diagnosis ultimately dying with death certificate-recorded COVID as a cause of death in 2020 (e.g., 0.1% in both never-tested deployed GWVs and non-deployed GWEVs, respectively) (Table 4). Considerably higher though also nearly identical proportions of lab-confirmed COVID+ deployed GWVs and non-deployed GWEVs died of COVID (2.2% vs. 2.1%, respectively, N.S.), with COVID accounting for most of all deaths observed in COVID+ GWEVs during our 10-month study period (82.1% in deployed, 76.2% in non-deployed, Table 4, N.S.). There were also similar overall age-adjusted COVID mortality rates among deployed GWVs and non-deployed GWEVs (e.g., 24.16/1,000 and 23.98/1,000 in lab-confirmed COVID+ deployed and non-deployed, respectively; MRR = 1.01, 95% CI: 0.54–1.47, N.S.) (S3 Table).
COVID mortality burden associated with GWI in Deployed COVID-tested subcohort (N = 1,643).
There were only N = 11 death certificate-recorded COVID deaths in our COVID-tested deployed GWV subcohort, n = 8 among 303 confirmed-COVID+ and n = 3 among 1,340 confirmed-COVID- (S6. Fig 3).
Among the N = 1,643 deployed GWVs with a completed 2018 Gulf War survey, the figure branches first by GWI status (GWI+ N = 645, 39%; GWI− N = 998, 61%), then by COVID test result (COVID+ or COVID−), and finally by vital outcome (Alive, Died COVID,d or Died Other Cause). GWI status was assigned using CDC Severe (Fukuda) criteriae applied to 2018 survey responses. Footnote definitions are as in Fig 1 except: e Deployed GWV in subcohort classified using CDC Severe GWI criteria as GWI+ or GWI− based on 2018 Gulf War survey responses.
GWI+ was not significantly associated with any metric of death certificate-based COVID-related mortality burden; with same very low proportion (0.2%) of GWI+ and GWI- deployed GWVs who tested only COVID- ultimately dying of COVID in 2020. (Table 4) In contrast, a non-significantly, slightly higher proportion of GWI- deployed GWVs lab-confirmed COVID+ died from COVID (3.1% vs. 1.8% GWI+), with COVID accounting for non-significantly greater proportion of total deaths observed (100% [n = 6] in GWI- vs. 67% [n = 2 of 3] in GWI+, respectively). (Table 4) Similar overall age-adjusted mortality rates (13.1/1,000 GWI- vs. 11.7/1,000 GWI+, N.S.) were also observed, though CIs were imprecise given power constraints. (S3 Table)
Discussion
Our study evaluated COVID-19 related health outcomes in a large nationwide cohort of 1990–1991 U.S. Gulf War veterans (GWVs), an aging group broadly exposed during military deployment to unique toxic exposures and with a high prevalence of Gulf War Illness (GWI+), a medically unexplained chronic multi-symptom illness associated with neuro-immune dysfunction and inflammation. We found robust, broadly reassuring results among COVID-tested veterans serving in the Gulf War era (GWEVs) using the VA healthcare system that overall deployment to the Persian Gulf (PG) theater was not associated with increased risks for testing COVID+ or experiencing COVID-related hospitalization, ICU admission, or death in the early 2020 pre-vaccine pandemic period.
We found that while GWI+ was also not associated with increased COVID test positivity (COVID+) among our deployed GWV subcohort, that GWI+ was associated with suggestive potential >2-fold significant increase in COVID-related hospitalization among deployed GWVs in both univariable and final multivariable models. These suggestive robust preliminary findings in our deployed GWV subcohort are, however, duly qualified pending replication in other large cohorts given fewer total hospitalizations limited power and confounder adjustment to designated core established COVID risk factors (i.e., age, race/ethnicity, sex, and Elixhauser comorbidity) only. In contrast, we found GWI+ was not associated with either strong or significant excess COVID-related ICU admission or mortality risk in deployed GWVs in preliminary unadjusted analyses, though even lower event rates precluded multivariable modeling.
The preliminary suggestive observed association between GWI+ and potential significantly increased COVID-related hospitalization in our deployed GWVs is perhaps reflective of a GWI-related vulnerability to more serious sequelae with COVID infection. This is biologically plausible given multiple epidemiological studies reported associations between GWI+ as well as overall GW deployment and increased prevalence of diverse chronic health conditions [3,4,8,37–39], with numerous experimental model, pre-clinical and clinical studies incorporating physiologic measures have documented significant neurological/neuropsychological [ 40–43], immunoinflammatory [44–46], metabolic [47–49], microbiome [50–52], and genetic differences associated with GWI+ [ 22,53–55]. It is also consistent with findings of increased susceptibility for adverse health effects in association with other exposures [ 56] among deployed GWVs who have GWI and multiple significant findings of long-term substantial increased health symptom burden [13,21] and frailty [57] and persistently reduced health-related quality of life [ 58] among GWI+.
Our post-hoc descriptive hypothesis generating bivariable exploration of 15 of most prevalent individual clinical comorbidities from among CDC evidence-based review identified risk factors for severe COVID and in Elixhauser comorbidity scores suggested two, coronary atherosclerotic heart disease (CAHD) and bronchitis, may potentially be differentially elevated among deployed GWI+ GWVs who experienced COVID-related hospitalization. The limited total number of hospitalizations, unfortunately, precluded further exploratory evaluation of them as additional potential independent risk factors in multivariable analyses after accounting for our other a priori-specified core COVID risk factors. However, both may warrant further investigation in future larger hypothesis testing cohort studies given: 1) GWI+ was recently associated with increased risk of CAHD in another GWV cohort [ 37]; and 2) chronic bronchitis and multiple other respiratory conditions (e.g., post-deployment asthma) are VA-recognized as presumptively military service-related among deployed GWVs given wide-scale exposure to airborne hazards including oil well fires and burn pits and epidemiological findings of increased occurrence of several respiratory diseases in deployed GWVs [ 59], with hazardous environmental airborne exposures also increasingly associated with greater COVID-related health risks in general population studies [ 60].
Another unique study contribution was our assessment of concordance between the VA CSDR-defined 30-day COVID-related mortality algorithmically ascertained using nearer term extracts from extant EHR and linked administrative healthcare databases against gold standard U.S. government official standard NDI death certificate data available only several years later. Excellent observed concordance provides important novel validation of a major VA CSDR-determined COVID outcome used in numerous high-impact published as well as ongoing studies on COVID risks and outcomes including on COVID vaccinations and post-acute long-term sequelae with COVID [ 61–64]. Notably, our NDI-based findings also reaffirmed our primary VA CSDR-determined multivariable relative risk findings of no significant association between deployment and 30-day COVID-related mortality among those testing COVID+. This suggests potential unmeasured selection bias was unlikely to have substantively impacted on our VA CSDR-based findings for overall deployment and COVID-related health outcomes.
Our study, which is to the best of our knowledge the first and only study to examine whether a specific veteran cohort deployed to serve in any military conflict (e.g., Vietnam War, 1990–1991 Gulf War, post-9/11 Iraq and Afghanistan conflicts) had potentially increased susceptibility to adverse COVID-related health outcomes had multiple methodological strengths. These include leveraging and expanding upon the well-phenotyped, largest nationwide research cohort of GWEVs, MVP’s CSP2006 Genomics of Gulf War Illness study cohort, which also includes the largest deployed GWV cohort with GWI case-status rigorously defined using National Academy of Sciences (formerly Institute of Medicine, NAS/IOM) recommended CDC criteria and conservative application of the severe phenotype. Additionally, GW survey responses used to determine contemporary GWI+ status were obtained from mid-2018 thru 2019, nearly contemporary to the pandemic period and thus a good marker for baseline susceptibility conveyed by GWI+, while also obtained long enough before the first U.S. confirmed case in January 2020 to mitigate potential reverse causation bias. Other strengths include utilizing the VA’s well-curated CSDR to comparably identify lab-confirmed COVID-testing/outcomes; our comprehensive methodologically-rigorous tiered multivariable analytic approach evaluating associations between overall deployment and GWI+ among deployed GWVs across range of COVID outcomes; and use of gold-standard NDI death certificate data as secondary source allowing us to interrogate age-adjusted COVID mortality cohort-wide (including in substantial number non-COVID tested GWEVs not included in CSDR database).
Importantly, our study is responsive to publicly expressed concerns of deployed GWVs, advocates and clinicians about possible elevated COVID risks given their military service-related toxic exposures and increased risk of several post-deployment exposure-related health conditions [ 65]. GWVs have long reported feelings of betrayal by the government, medical system, and even their country regarding under-recognized and non-redressed post-deployment military exposure-related health risks, burden and unmet healthcare needs [ 66] (including lack of clinical recognition of GWI+ both in VA and civilian healthcare settings and effective GWI+ tailored healthcare). Our study also aligns with the research and education aims included in The Sergeant First Class (SFC) Heath Robinson Honoring our Promise to Address Comprehensive Toxics (PACT) Act of 2022. The PACT Act has resulted in perhaps the largest expansion of VA healthcare system eligibility and benefits to date to include millions more potentially military service toxic exposed veterans deployed to serve in 1990−1991 GW, Vietnam, and post-9/11 Iraq and Afghanistan conflicts [ 67,68]. Post-deployment susceptibility to novel infectious agents, such as SARS-CoV-2, is not a presumed service-connected condition for any deployed veteran cohort; our findings do not support such a policy change for deployed GWVs.
Our study has several limitations, starting with the retrospective design that precludes causal inferences. Despite this being the largest nationwide research cohort of GWEVs, we had statistical power constraints for analyses of rarer COVID outcomes, particularly in our smaller deployed GWV subcohort analyses and associated power constraints in multivariable confounder adjusted risk modeling. This requires as previously noted qualified interpretation of preliminary findings of association between GWI+ and increased COVID-related hospitalization in deployed GWVs as suggestive only pending confirmation in other large external cohorts. Nonetheless, the general consistency in strength, direction and significance of relative risk estimates across unadjusted through all fully adjusted multivariable models, coupled with consistency in findings of no association between deployment or GWI+ and age-adjusted COVID-related mortality rates in both VA CSDR and NDI-based mortality analyses is supportive of internal validity of study findings. External generalizability is another important consideration; although earlier research evaluating the original CSP2006 parent cohort of >109,000 GWEVs demonstrated that it, as well as the large subgroup who returned 2018 Gulf War surveys, were generally representative in most sociodemographic and health characteristics to both the broader population of GWEVs using VHA healthcare and the full U.S. population of GWEVs [20]. Additionally, our observed COVID test positivity rates in our expanded CSP2006 cohort, which were similar across deployment and GWI case-status groups, were also aligned with reported COVID+ rates in COVID-tested adult males in the general US population in the early pandemic period [ 69]. Caution is still nonetheless warranted in extrapolating our findings to substantial number of GWVs not enrolled in VA healthcare system. VA-users are recognized as having higher rates of chronic illness and health risk factors and there are considerable differences between VA healthcare system (a highly subsidized, needs-based and prioritized equal access healthcare system) and civilian insurance-based healthcare systems with respect to access, utilization, and care delivery that could variably impact clinical outcomes. Our classification of contemporary, pre-pandemic Gulf War Illness (GWI+) status relied on a single time-point survey administered decades after the war ended, which may introduce limitations due to reliance on established IOM/NAS endorsed GWI+ research case definitions developed in much younger GWVs soon after the Gulf War ended. Despite this, prior analyses demonstrated that our surveyed deployed Gulf War veterans represent the broader national cohort of deployed GWVs in terms of key military service and sociodemographic characteristics [20,21]. Additionally, major risk factors identified for GWI+ in them were consistent whether using CDC severe phenotype (used in current COVID research), self-reported physician diagnosis of GWI+, or validated measures of multisymptom morbidity, and mirrored findings from previous and also much earlier large-scale studies [21]. This consistency suggests any potential misclassification bias is likely minimal and non-differential.
A further limitation is lack of direct chart review access within the VA COVID Shared Data Resource (CSDR) which prevented further valid characterization of symptomatic disease severity for algorithmically diagnostic code identified clinical comorbidities like bronchitis at time of COVID testing. Additionally, the absence of GWI-specific diagnostic codes precluded identification of GWI+ cases outside our deployed sub-cohort survey respondents. The recent introduction of first official diagnostic code for GWI [70], ICD-10 CM code T75.830 for GWI, along with Z77.31 for deployment-related Gulf War exposure (effective October 2025) [71] is expected to significantly enhance future EHR-based research. These codes should enable for the first time reliable, efficient identification of large representative samples of GWVs with comparable clinically documented GWI diagnosis seen across diverse healthcare settings, including importantly also in non-VA community care settings. This should greatly facilitate valid and reliable epidemiological assessment of even rarer outcomes—like COVID-19 related ICU admission and case fatality---within this high-risk population.
In conclusion, our study found overall deployment to the 1990–1991 Gulf War conflict theater was not associated with elevated risk of testing COVID+ or experiencing worse COVID-related health outcomes among Gulf War era veterans using the VA healthcare system in the early pre-vaccine pandemic period. Our preliminary suggestive findings of potential association between Gulf War Illness and increased COVID-related hospitalization among deployed Gulf War veterans warrant replication in other large external cohorts. Ongoing follow-up also needed to ascertain implications for our observed early pandemic-era associations with changes in viral variants, introduction of vaccines and effective oral anti-viral medication, and changes in persistence of symptoms associated with COVID infection.
Supporting information
S1 Appendix. VA Million Veteran Program Core Acknowledgements for Publications (October 2025).
This appendix provides the required VA Million Veteran Program (MVP) core acknowledgements for publications using MVP resources, including names and institutional affiliations of the MVP Program Office, MVP Steering Committee, MVP Co-Principal Investigators, and MVP Core Operations leadership as of October 2025, as supplied by the MVP program office.
https://doi.org/10.1371/journal.pone.0348594.s001
(PDF)
S2 Table. Characteristics of N = 136,868 Gulf War era veterans (GWEVs) in the CSP2006 Million Veteran Program cohort by COVID test status in 2020.
Sociodemographic and clinical characteristics of the full CSP2006/MVP029 GWEV cohort (N = 136,868) stratified by COVID lab-test status (never COVID-tested n = 110,727; ever COVID-tested n = 26,141) with further stratification by deployment status and confirmed COVID result (COVID⁺ n = 4,586; COVID⁻ n = 21,555), and the deployed GWV surveyed subcohort (N = 1,643) by COVID test status and Gulf War Illness (GWI) case status. Variables presented include age, sex, race/ethnicity, marital status, military rank, service branch, unit component, smoking history, Elixhauser comorbidity score, BMI, co-insurance, VA healthcare utilization, and geographic region. Cell values are n (%).
https://doi.org/10.1371/journal.pone.0348594.s002
(XLSX)
S3 Table. COVID-related mortality rates in the CSP2006/MVP029 Gulf War era veteran cohort by deployment status, Gulf War Illness status, and COVID lab-test result.
Age-adjusted COVID-related mortality rates per 1,000 persons and mortality rate ratios (deployed vs. non-deployed) in three sections: (A) lab-confirmed COVID⁺ in the overall CSP2006 cohort (N = 4,586); (B) lab-confirmed COVID⁻ (N = 21,555); and (C) the deployed GWV surveyed subcohort (N = 1,643) by COVID test status and GWI case status (GWI ⁺ /GWI⁻). Age strata are 47–59, 60–69, and ≥70 years. Rates and rate ratios are presented with 95% confidence intervals.
https://doi.org/10.1371/journal.pone.0348594.s003
(XLSX)
S4 Text. Supplemental Results: Secondary National Death Index analyses and pre-pandemic versus early-pandemic mortality comparison.
Two secondary analyses: (1) concordance between VA COVID Shared Data Resource (CSDR) and National Death Index (NDI) COVID-related mortality ascertainment—among 103 VA CSDR-identified COVID decedents, 100 (97%) had NDI-matched death certificates recording COVID as a cause of death (92% as the underlying cause), with no additional COVID deaths identified solely through NDI; (2) comparison of cohort all-cause mortality between pre-pandemic year 2019 (N = 138,058; 1,191 deaths; 99.1% survival) and the early pandemic period March–December 2020 (N = 136,868; 1,556 deaths; 98.9% survival).
https://doi.org/10.1371/journal.pone.0348594.s004
(DOCX)
S5 Fig. Vital outcomes among CSP2006 Gulf War era veterans never lab-tested for COVID in 2020, by deployment status.
Flow diagram showing vital outcomes through 12/31/2020 for the N = 110,727 GWEVs not lab-tested for COVID during the study period (cross-referenced from Fig 1). Veterans are stratified by deployment status (Deployed N = 24,178, 22%; Non-Deployed N = 86,549, 78%) and vital outcome (Alive, Died COVID,ᵈ or Died Other Cause). The N = 26,141 ever COVID-tested are cross-referenced to Fig 1. Footnote definitions as in Fig 1.
https://doi.org/10.1371/journal.pone.0348594.s005
(TIF)
S6 Fig. COVID-19 lab-test status and vital outcomes among the deployed Gulf War veteran surveyed subcohort, stratified by Gulf War Illness status.
Flow diagram showing COVID lab-test result and vital outcomes through 12/31/2020 for the deployed GWV surveyed subcohort (N = 1,643), stratified by GWI case status: GWI⁺ (N = 645, 39%) and GWI⁻ (N = 998, 61%). Within each GWI stratum, veterans are further stratified by COVID test result (COVID⁺ or COVID⁻) and vital outcome (Alive, Died COVID,ᵈ or Died Other Cause). GWI case status classified using CDC Severe (Fukuda) criteriaᵉ applied to 2018 Gulf War survey responses. Footnote definitions as in Fig 1.
https://doi.org/10.1371/journal.pone.0348594.s006
(TIF)
Acknowledgments
The CSP2006 Genomics of Gulf War Illness COVID study team authors would like to acknowledge the support of MVP leadership, especially Suma Muralidhar; support of Karen Block at the VA Gulf War Research Program; administrative assistance from Jason Aguilar and Efthalia Zafeiropoulou at Houston VA Health Services Research Center of Innovations (IQuESt) and from René LaFleur at the Clinical Epidemiology Research Center, and technical assistance on use of the VA’s COVID Shared Data Resource from James Gatsby. The authors also would like to thank the members of the Million Veteran Program (MVP) Core including Nicole Usher for administrative and IRB assistance and Rachel Quaden and Lauren Costa for data acquisition assistance, and especially the Veteran participants in the MVP for their generous contributions. We would also like to acknowledge the vision of the late Dawn Provenzale, former Director of the Cooperative Studies Program Epidemiology Center-Durham and former Co-Study Chair of CSP#2006.
References
- 1.
World Health Organization WHO. WHO COVID-19 Dashboard: Total Cumulative Cases. Accessed 2025 January. https://data.who.int/dashboards/covid19/cases?n=c
- 2.
Centers for Disease Control and Prevention, National Center for Health Statistics. National Vital Statistics System, Mortality 2018-2023 on CDC WONDER Online Database, Released in 2024. http://wonder.cdc.gov/ucd-icd10-expanded.html
- 3. Li B, Mahan CM, Kang HK, Eisen SA, Engel CC. Longitudinal health study of US 1991 Gulf War veterans: changes in health status at 10-year follow-up. Am J Epidemiol. 2011;174(7):761–8. pmid:21795757
- 4. White RF, Steele L, O’Callaghan JP, Sullivan K, Binns JH, Golomb BA, et al. Recent research on Gulf War illness and other health problems in veterans of the 1991 Gulf War: Effects of toxicant exposures during deployment. Cortex. 2016;74:449–75. pmid:26493934
- 5.
National Academies of Sciences, Engineering, and Medicine. Gulf War and Health: Volume 11: Generational Health Effects of Serving in the Gulf War. Washington, DC: The National Academies Press. 2018.
- 6.
Research Advisory Committee on Gulf War Veterans’ Illnesses. Gulf War Illness and the Health of Gulf War Veterans: Research Update and Recommendations, 2009–2013. U.S. Washington, D.C: Government Printing Office. 2014. [Accessed December 2024]. https://www.va.gov/RAC-GWVI/RACReport2014Final.pdf
- 7.
National Academies of Sciences, Engineering, and Medicine. Gulf War and Health: Volume 10: Update of Health Effects of Serving in the Gulf War, 2016. Washington, DC: The National Academies Press. 2016.
- 8. Fukuda K, Nisenbaum R, Stewart G, Thompson WW, Robin L, Washko RM, et al. Chronic multisymptom illness affecting Air Force veterans of the Gulf War. JAMA. 1998;280(11):981–8. pmid:9749480
- 9. Steele L. Prevalence and patterns of Gulf War illness in Kansas veterans: association of symptoms with characteristics of person, place, and time of military service. Am J Epidemiol. 2000;152(10):992–1002. pmid:11092441
- 10. Zundel CG, Heeren T, Grasso CM. Changes in health status in the Ft. Devens Gulf War veterans cohort: 1997-2017. Neurosci Insights. 2020;15:2633105520952675.
- 11. Porter B, Long K, Rull RP, Dursa EK, Millennium Cohort Study Team. Prevalence of Chronic Multisymptom Illness/Gulf War Illness Over Time Among Millennium Cohort Participants, 2001 to 2016. J Occup Environ Med. 2020;62(1):4–10.
- 12. Gifford EJ, Vahey J, Hauser ER, Sims KJ, Efird JT, Dursa EK, et al. Gulf War illness in the Gulf War Era Cohort and Biorepository: The Kansas and Centers for Disease Control definitions. Life Sci. 2021;278:119454. pmid:33811897
- 13. Maule AL, Janulewicz PA, Sullivan KA, Krengel MH, Yee MK, McClean M, et al. Meta-analysis of self-reported health symptoms in 1990-1991 Gulf War and Gulf War-era veterans. BMJ Open. 2018;8(2):e016086. pmid:29440208
- 14. Sullivan K, O’Callaghan JP. Advancing the Role of Neuroimmunity and Genetic Susceptibility in Gulf War Illness. Brain Sci. 2022;12(8):1068. pmid:36009131
- 15. Georgopoulos AP, James LM, Carpenter AF, Engdahl BE, Leuthold AC, Lewis SM. Gulf War illness (GWI) as a neuroimmune disease. Exp Brain Res. 2017;235(10):3217–25. pmid:28762055
- 16. Janulewicz P, Krengel M, Quinn E, Heeren T, Toomey R, Killiany R, et al. The Multiple Hit Hypothesis for Gulf War Illness: Self-Reported Chemical/Biological Weapons Exposure and Mild Traumatic Brain Injury. Brain Sci. 2018;8(11):198. pmid:30428552
- 17. Gaziano JM, Concato J, Brophy M, Fiore L, Pyarajan S, Breeling J, et al. Million Veteran Program: A mega-biobank to study genetic influences on health and disease. J Clin Epidemiol. 2016;70:214–23. pmid:26441289
- 18. Duong LM, Nono Djotsa ABS, Vahey J, Steele L, Quaden R, Harrington KM, et al. Association of Gulf War Illness with Characteristics in Deployed vs. Non-Deployed Gulf War Era Veterans in the Cooperative Studies Program 2006/Million Veteran Program 029 Cohort: A Cross-Sectional Analysis. Int J Environ Res Public Health. 2022;20(1):258. pmid:36612580
- 19. Radhakrishnan K, Hauser ER, Polimanti R, Helmer DA, Provenzale D, McNeil RB, et al. Genomics of Gulf War Illness in U.S. Veterans Who Served during the 1990-1991 Persian Gulf War: Methods and Rationale for Veterans Affairs Cooperative Study #2006. Brain Sci. 2021;11(7):845. pmid:34202057
- 20. Harrington KM, Quaden R, Steele L. The Million Veteran Program 1990-1991 Gulf War Era Survey: An Evaluation of Veteran Response, Characteristics, and Representativeness of the Gulf War Era Veteran Population. Int J Environ Res Public Health. 2024;21(1):72.
- 21. Steele L, Quaden R, Ahmed ST, et al. Association of deployment characteristics and exposures with persistent ill health among 1990-1991 Gulf War veterans in the VA Million Veteran Program. Environ Health. 2024;23(1):922–1002.
- 22. Pathak GA, Koller D, Cabrera-Mendoza B, Nono Djotsa ABS, Wendt FR, De Lillo A, et al. Unraveling the genetics of gulf war illness in diverse participants enrolled in the million veteran program. Hum Mol Genet. 2025;:ddaf075. pmid:40366759
- 23. Vahey J, Hauser ER, Sims KJ, Helmer DA, Provenzale D, Gifford EJ. Research tool for classifying Gulf War illness using survey responses: Lessons for writing replicable algorithms for symptom-based conditions. Life Sci. 2021;282:119808. pmid:34242657
- 24. Young-Xu Y, Davey V, Marconi VC, Cunningham FE. VA Big Data Science: A Model for Improved National Pandemic Response Present and Future. Fed Pract. 2023;40(11 Suppl 5):S39–42. pmid:38577309
- 25. Honerlaw J, Ho Y-L, Fontin F, Gosian J, Maripuri M, Murray M, et al. Framework of the Centralized Interactive Phenomics Resource (CIPHER) standard for electronic health data-based phenomics knowledgebase. J Am Med Inform Assoc. 2023;30(5):958–64. pmid:36882092
- 26.
Centers for Disease Control and Prevention CDC. Underlying Conditions and the Higher Risk for Severe COVID-19. 2025. https://www.cdc.gov/covid/hcp/clinical-care/underlying-conditions.html
- 27. Zhou W, Qin X, Hu X, Lu Y, Pan J. Prognosis models for severe and critical COVID-19 based on the Charlson and Elixhauser comorbidity indices. Int J Med Sci. 2020;17(15):2257–63. pmid:32922189
- 28. Booth A, Reed AB, Ponzo S, Yassaee A, Aral M, Plans D, et al. Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis. PLoS One. 2021;16(3):e0247461. pmid:33661992
- 29. Moore BJ, Su J, Zhu H, et al. Hospital readmissions among veterans within 90 days of discharge after hospitalization for COVID-19 — United States, March 1–December 31, 2020. Prev Chronic Dis. 2022;19:E105.
- 30. Moore BJ, White S, Washington R, Coenen N, Elixhauser A. Identifying Increased Risk of Readmission and In-hospital Mortality Using Hospital Administrative Data: The AHRQ Elixhauser Comorbidity Index. Med Care. 2017;55(7):698–705. pmid:28498196
- 31. Staerk C, Byrd A, Mayr A. Recent Methodological Trends in Epidemiology: No Need for Data-Driven Variable Selection?. Am J Epidemiol. 2024;193(2):370–6. pmid:37771042
- 32.
Hosmer DW, Lemeshow S. Applied Logistic Regression. 3rd ed. New York: Wiley. 2013.
- 33. Bursac Z, Gauss CH, Williams DK, Hosmer DW. Purposeful selection of variables in logistic regression. Source Code Biol Med. 2008;3:17. pmid:19087314
- 34. Mickey RM, Greenland S. The impact of confounder selection criteria on effect estimation. Am J Epidemiol. 1989;129(1):125–37. pmid:2910056
- 35. Rothman KJ. No adjustments are needed for multiple comparisons. Epidemiology. 1990;1(1):43–6. pmid:2081237
- 36. Perneger TV. What’s wrong with Bonferroni adjustments. BMJ. 1998;316(7139):1236–8. pmid:9553006
- 37. Ahmed ST, Li R, Richardson P. Association of atherosclerotic cardiovascular disease, hypertension, diabetes, and hyperlipidemia with Gulf War illness among Gulf War veterans. J Am Heart Assoc. 2023;12(19):e029575.
- 38. Dursa EK, Cao G, Porter B, Culpepper WJ, Schneiderman AI. The Health of Gulf War and Gulf Era Veterans Over Time: U.S. Department of Veterans Affairs’ Gulf War Longitudinal Study. J Occup Environ Med. 2021;63(10):889–94. pmid:34483304
- 39. Zundel CG, Krengel MH, Heeren T, Yee MK, Grasso CM, Janulewicz Lloyd PA, et al. Rates of Chronic Medical Conditions in 1991 Gulf War Veterans Compared to the General Population. Int J Environ Res Public Health. 2019;16(6):949. pmid:30884809
- 40. Keating D, Krengel M, Dugas J, Toomey R, Chao L, Steele L, et al. Cognitive decrements in 1991 Gulf War veterans: associations with Gulf War illness and neurotoxicant exposures in the Boston Biorepository, Recruitment, and Integrative Network (BBRAIN) cohorts. Environ Health. 2023;22(1):68. pmid:37794452
- 41. Zhang Y, Avery T, Vakhtin AA, Mathersul DC, Tranvinh E, Wintermark M, et al. Brainstem atrophy in Gulf War Illness. Neurotoxicology. 2020;78:71–9. pmid:32081703
- 42. Cooper CM, Briggs RW, Farris EA, Bartlett J, Haley RW, Odegard TN. Memory and functional brain differences in a national sample of U.S. veterans with Gulf War Illness. Psychiatry Res Neuroimaging. 2016;250:33–41. pmid:27017423
- 43. Yates PL, Case K, Sun X, Sullivan K, Baas PW, Qiang L. Veteran-derived cerebral organoids display multifaceted pathological defects in studies on Gulf War Illness. Front Cell Neurosci. 2022;16:979652. pmid:36619675
- 44. Hodgin KS, Jones CL, Younger JW. Fatigue and pain severity in Gulf War illness is associated with changes in inflammatory cytokines and positive acute phase proteins. Journal of Occupational and Environmental Medicine. 2022;64(11):905–11.
- 45. Sultana E, Shastry N, Kasarla R, Hardy J, Collado F, Aenlle K, et al. Disentangling the effects of PTSD from Gulf War Illness in male veterans via a systems-wide analysis of immune cell, cytokine, and symptom measures. Mil Med Res. 2024;11(1):2. pmid:38167090
- 46. Halpin P, Williams MV, Klimas NG, Fletcher MA, Barnes Z, Ariza ME. Myalgic encephalomyelitis/chronic fatigue syndrome and gulf war illness patients exhibit increased humoral responses to the herpesviruses-encoded dUTPase: Implications in disease pathophysiology. J Med Virol. 2017;89(9):1636–45. pmid:28303641
- 47. Meyer JN, Pan WK, Ryde IT, Alexander T, Klein-Adams JC, Ndirangu DS, et al. Bioenergetic function is decreased in peripheral blood mononuclear cells of veterans with Gulf War Illness. PLoS One. 2023;18(11):e0287412. pmid:37910447
- 48. Haley RW, Charuvastra E, Shell WE, Buhner DM, Marshall WW, Biggs MM, et al. Cholinergic autonomic dysfunction in veterans with Gulf War illness: confirmation in a population-based sample. JAMA Neurol. 2013;70(2):191–200. pmid:23407784
- 49. Golomb BA, Sanchez Baez R, Schilling JM, Dhanani M, Fannon MJ, Berg BK, et al. Mitochondrial impairment but not peripheral inflammation predicts greater Gulf War illness severity. Sci Rep. 2023;13(1):10739. pmid:37438460
- 50. Kates A, Keating J, Baubie K, Putman-Buehler N, Watson L, Godfrey J, et al. Examining the association between the gastrointestinal microbiota and Gulf War illness: A prospective cohort study. PLoS One. 2022;17(7):e0268479. pmid:35901037
- 51. Bose D, Chatterjee S, Older E, Seth R, Janulewicz P, Saha P, et al. Host gut resistome in Gulf War chronic multisymptom illness correlates with persistent inflammation. Commun Biol. 2022;5(1):552. pmid:35672382
- 52. Seth RK, Maqsood R, Mondal A. Gut DNA virome diversity and its association with host bacteria regulate inflammatory phenotype and neuronal immunotoxicity in experimental Gulf War illness. Viruses. 2019;11(10):968.
- 53. Coller JK, Tuke J, Wain TJ, Quinn E, Steele L, Abreu M, et al. Associations of Immune Genetic Variability with Gulf War Illness in 1990-1991 Gulf War Veterans from the Gulf War Illness Consortium (GWIC) Multisite Case-Control Study. Brain Sci. 2021;11(11):1410. pmid:34827409
- 54. Abdullah L, Nkiliza A, Niedospial D, Aldrich G, Bartenfelder G, Keegan A, et al. Genetic association between the APOE ε4 allele, toxicant exposures and Gulf war illness diagnosis. Environ Health. 2023;22(1):51. pmid:37415220
- 55. Weisskopf MG. Response to “Comment on ‘Evaluation of a Gene-Environment Interaction of PON1 and Low-Level Nerve Agent Exposure with Gulf War Illness: A Prevalence Case-Control Study Drawn from the U.S. Military Health Survey’s National Population Sample’”. Environ Health Perspect. 2022;130(6):68005. pmid:35703988
- 56. Golomb BA, Han JH. Adverse effect propensity: A new feature of Gulf War illness predicted by environmental exposures. iScience. 2023;26(8):107363. pmid:37554469
- 57. Thompson AD Jr, Petry SE, Hauser ER, Boyle SH, Pathak GA, Upchurch J, et al. Longitudinal Patterns of Multimorbidity in Gulf War Era Veterans With and Without Gulf War Illness. J Aging Health. 2025;37(5–6):281–91. pmid:38591766
- 58. Gifford EJ, Boyle SH, Vahey J, Sims KJ, Efird JT, Chesnut B, et al. Health-Related Quality of Life by Gulf War Illness Case Status. Int J Environ Res Public Health. 2022;19(8):4425. pmid:35457293
- 59. Dursa EK, Tadesse BE, Carter CE, Culpepper WJ, Schneiderman AI, Rumm PD. Respiratory illness among Gulf War and Gulf War era veterans who use the Department of Veterans Affairs for healthcare. Am J Ind Med. 2020;63(11):980–7. pmid:32851693
- 60. Zhang J, Lim Y-H, So R, Jørgensen JT, Mortensen LH, Napolitano GM, et al. Long-term exposure to air pollution and risk of SARS-CoV-2 infection and COVID-19 hospitalisation or death: Danish nationwide cohort study. Eur Respir J. 2023;62(1):2300280. pmid:37343976
- 61. Xie Y, Choi T, Al-Aly Z. Postacute Sequelae of SARS-CoV-2 Infection in the Pre-Delta, Delta, and Omicron Eras. N Engl J Med. 2024;391(6):515–25.
- 62. Kelly JD, Leonard S, Hoggatt KJ. Incidence of severe COVID-19 illness following vaccination and booster with BNT162b2, mRNA-1273, and Ad26.COV2.S vaccines. JAMA. 2022;328(14):1427–37.
- 63. Song RJ, Ho Y-L, Schubert P, Park Y, Posner D, Lord EM, et al. Phenome-wide association of 1809 phenotypes and COVID-19 disease progression in the Veterans Health Administration Million Veteran Program. PLoS One. 2021;16(5):e0251651. pmid:33984066
- 64. Xie Y, Choi T, Al-Aly Z. Association of Treatment With Nirmatrelvir and the Risk of Post-COVID-19 Condition. JAMA Intern Med. 2023;183(6):554–64. pmid:36951829
- 65. SBG News. Gulf War veterans face lingering health problems that may make them vulnerable to COVID-19. KATV. 2021.
- 66. Bloeser K, McCarron KK, Merker VL, Hyde J, Bolton RE, Anastasides N, et al. “Because the country, it seems though, has turned their back on me”: Experiences of institutional betrayal among veterans living with Gulf War Illness. Soc Sci Med. 2021;284:114211. pmid:34271400
- 67.
U.S. Department of Veterans Affairs. VA News Brief: ‘In one of the largest-ever expansions of Veteran health care, all Veterans exposed to toxins and other hazards during military service — at home or abroad — will be eligible for VA health care beginning March 5’. 2024. https://news.va.gov/press-room/veteran-toxins-hazards-serving-eligible-va/
- 68.
U.S. Department of Veterans Affairs. The PACT Act and Your VA Benefits. Accessed 2024 December. https://www.va.gov/resources/the-pact-act-and-your-va-benefits/
- 69. Saunders-Hastings P, Zhou CK, Hobbi S, Wong H-L, Lloyd P, Boyd E, et al. Characterization of test positivity among patients with coronavirus disease 2019 (COVID-19) in three electronic health records databases, February-November 2020. BMC Public Health. 2022;22(1):1217. pmid:35717174
- 70.
Lawrence D. After 30 years, Gulf War illness gets official medical code. Task and Purpose. 2025. Accessed 2025 December. https://taskandpurpose.com/military-life/gulf-war-illness-veterans/
- 71.
Centers for Medicare & Medicaid Services. ICD-10-CM Official Guidelines for Coding and Reporting FY 2026. Baltimore (MD): CMS. 2025. https://www.cms.gov/files/document/fy-2026-icd-10-cm-coding-guidelines.pdf