Background Comparing humoral responses in SARS-CoV-2 vaccinees, those with SARS-CoV-2 infection, or combinations of vaccine/infection (‘hybrid immunity’), may clarify predictors of vaccine immunogenicity. Methods We studied 2660 U.S. Military Health System beneficiaries with a history of SARS-CoV-2 infection-alone (n = 705), vaccination-alone (n = 932), vaccine-after-infection (n = 869), and vaccine-breakthrough-infection (n = 154). Peak anti-spike-IgG responses through 183 days were compared, with adjustment for vaccine product, demography, and comorbidities. We excluded those with evidence of clinical or sub-clinical SARS-CoV-2 reinfection from all groups. Results Multivariable regression results indicated vaccine-after-infection anti-spike-IgG responses were higher than infection-alone (p < 0.01), regardless of prior infection severity. An increased time between infection and vaccination was associated with a greater post-vaccination IgG response (p < 0.01). Vaccination-alone elicited a greater IgG response, but more rapid waning of IgG (p < 0.01), compared to infection-alone (p < 0.01). BNT162b2 and mRNA-1273 vaccine-receipt was associated with greater IgG responses compared to JNJ-78436735 (p < 0.01), regardless of infection history. Those with vaccine-after-infection or vaccine-breakthrough-infection had a more durable anti-spike-IgG response compared to infection-alone (p < 0.01). Conclusions Vaccine-receipt elicited higher anti-spike-IgG responses than infection-alone, although IgG levels waned faster in those vaccinated (compared to infection-alone). Vaccine-after-infection elicits a greater humoral response compared to vaccine or infection alone; and the timing, but not disease severity, of prior infection predicted these post-vaccination IgG responses. While differences between groups were small in magnitude, these results offer insights into vaccine immunogenicity variations that may help inform vaccination timing strategies.

ImportanceUnderstanding the factors associated with post-COVID conditions is important for prevention.ObjectiveTo identify characteristics associated with persistent post–COVID-19 symptoms and to describe post–COVID-19 medical encounters.Design, Setting, and ParticipantsThis cohort study used data from the Epidemiology, Immunology, and Clinical Characteristics of Emerging Infectious Diseases With Pandemic Potential (EPICC) study implemented in the US military health system (MHS); MHS beneficiaries aged 18 years or older who tested positive for SARS-CoV-2 from February 28, 2020, through December 31, 2021, were analyzed, with 1-year follow-up.ExposuresSARS-CoV-2 infection.Main Outcomes and MeasuresThe outcomes analyzed included survey-reported symptoms through 6 months after SARS-CoV-2 infection and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis categories reported in medical records 6 months following SARS-CoV-2 infection vs 3 months before infection.ResultsMore than half of the 1832 participants in these analyses were aged 18 to 44 years (1226 [66.9%]; mean [SD] age, 40.5 [13.7] years), were male (1118 [61.0%]), were unvaccinated at the time of their infection (1413 [77.1%]), and had no comorbidities (1290 [70.4%]). A total of 728 participants (39.7%) had illness that lasted 28 days or longer (28-89 days: 364 [19.9%]; ≥90 days: 364 [19.9%]). Participants who were unvaccinated prior to infection (risk ratio [RR], 1.39; 95% CI, 1.04-1.85), reported moderate (RR, 1.80; 95% CI, 1.47-2.22) or severe (RR, 2.25; 95% CI, 1.80-2.81) initial illnesses, had more hospitalized days (RR per each day of hospitalization, 1.02; 95% CI, 1.00-1.03), and had a Charlson Comorbidity Index score of 5 or greater (RR, 1.55; 95% CI, 1.01-2.37) were more likely to report 28 or more days of symptoms. Among unvaccinated participants, postinfection vaccination was associated with a 41% lower risk of reporting symptoms at 6 months (RR, 0.59; 95% CI, 0.40-0.89). Participants had higher risk of pulmonary (RR, 2.00; 95% CI, 1.40-2.84), diabetes (RR, 1.46; 95% CI, 1.00-2.13), neurological (RR, 1.29; 95% CI, 1.02-1.64), and mental health–related medical encounters (RR, 1.28; 95% CI, 1.01-1.62) at 6 months after symptom onset than at baseline (before SARS-CoV-2 infection).Conclusions and RelevanceIn this cohort study, more severe acute illness, a higher Charlson Comorbidity Index score, and being unvaccinated were associated with a higher risk of reporting COVID-19 symptoms lasting 28 days or more. Participants with COVID-19 were more likely to seek medical care for diabetes, pulmonary, neurological, and mental health–related illness for at least 6 months after onset compared with their pre-COVID baseline health care use patterns. These findings may inform the risk-benefit ratio of COVID-19 vaccination policy.

Background We evaluated the clinical outcomes, functional burden, and complications one month after COVID-19 infection in a prospective United States Military Health System (MHS) cohort of active duty, retiree, and dependent populations using serial patient-reported outcome surveys and electronic medical record (EMR) review. Methods MHS beneficiaries presenting at nine sites across the United States with a positive SARS-CoV-2 test, a COVID-19 like illness, or a high-risk SARS-CoV-2 exposure were eligible for enrollment. Medical history and clinical outcomes were collected through structured interviews and ICD-based EMR review. Risk factors associated with hospitalization were determined by multivariate logistic regression. Results A total of 1,202 participants were enrolled. There were 1,070 laboratory confirmed SARS-CoV-2 cases and 132 SARS-CoV-2 negative participants. In the first month post-symptom onset among the SARS-CoV-2 positive cases, there were 214 hospitalizations, 79% requiring oxygen, 22 ICU admissions, and 9 deaths. Risk factors for COVID-19 associated hospitalization included race (increased for Asian, Black, and Hispanic compared to non-Hispanic White), age (age 45-64 and 65+ compared to <45), and obesity (BMI>=30 compared to BMI<30). Over 2% of survey respondents reported the need for supplemental oxygen and 31% had not returned to normal daily activities at one-month post-symptom onset. Conclusions Older age, reporting Asian, Black or Hispanic race/ethnicity, and obesity are associated with SARS-CoV-2 hospitalization. A proportion of acute SARS-CoV-2 infections require long-term oxygen therapy; the impact of SARS-CoV-2 infection on short-term functional status was substantial. A significant number of MHS beneficiaries had not yet returned to normal activities by one month.

Background The FLU-PRO Plus is a patient-reported outcome data collection instrument assessing symptoms of viral respiratory tract infections across eight body systems. This study evaluated the measurement properties of FLU-PRO Plus in a study enrolling individuals with COVID-19. Methods Data from a prospective cohort study (EPICC) in US Military Health System (MHS) beneficiaries evaluated for COVID-19 was utilized. Adults with symptomatic SARS-CoV-2 infection with FLU-PRO Plus survey information within one week of symptom onset were included. Reliability of FLU-PRO Plus was estimated using intraclass correlation coefficients (ICC; 2 days reproducibility). Known-groups validity was assessed using patient global assessments (PGA) of disease severity. Patient report of return to usual health was used to assess responsiveness (day 1-6/7). Results 226 SARS-CoV-2 positive participants were included in the analysis. Reliability among those who reported no change in their symptoms from one day to the next was high for most domains (ICC range 0.68-0.94 for day 1 to day 2). Construct validity was demonstrated by moderate to high correlation between the PGA rating of disease severity and domain and total scores (e.g., total scores correlation: 0.69 (influenza-like illness severity), 0.69 (interference in daily activities), and -0.58 (physical health)). In addition, FLU-PRO Plus demonstrated good known-groups validity, with increasing domain and total scores observed with increasing severity ratings. Conclusions FLU-PRO Plus performs well in measuring signs and symptoms in SARS-CoV-2 infection with excellent construct validity, known-groups validity, and responsiveness to change. Standardized data collection instruments facilitate meta-analyses, vaccine effectiveness studies, and other COVID-19 research activities.