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Figure 1.  Incidence Rates of Severe COVID-19 Breakthrough per 100 Patient-Years in People With HIV (PWH) and People Without HIV (PWoH) by Month
Incidence Rates of Severe COVID-19 Breakthrough per 100 Patient-Years in People With HIV (PWH) and People Without HIV (PWoH) by Month

Data for 3649 patients are shown. The incidence rate estimates for January 2021 were not estimated as there were 0.00 and 0.02 person-years of observation after COVID-19 breakthrough infection in PWH and PWoH, respectively. Similarly, the person-years in February 2021 were 0.14 and 0.21 in PWH and PWoH, respectively, and there were no severe COVID-19 breakthrough illness events; incidence rates were not estimated. Error bars denote 95% CIs.

Figure 2.  Cumulative Incidence of Severe COVID-19 Breakthrough Illness Among People With HIV (PWH) and People Without HIV (PWoH)
Cumulative Incidence of Severe COVID-19 Breakthrough Illness Among People With HIV (PWH) and People Without HIV (PWoH)

Graphs show incidence of severe COVID-19 breakthrough illness by HIV status (A) (log-rank test P = .40), by CD4 cell count and HIV status (B) (log-rank test including PWoH, P < .001; log-rank test after excluding PWoH, P < .001), and by HIV viral suppression (defined as HIV-1 RNA viral load <50 copies/mL) and HIV status (C) (log-rank test including PWoH, P = .31; log-rank test after excluding PWoH, P = .28). Shaded areas denote 95% CIs.

Figure 3.  Cumulative Incidence of Severe COVID-19 Breakthrough Illness by HIV Status and Primary Vaccination Series Type Among People With HIV (PWH) and People Without HIV (PWoH)
Cumulative Incidence of Severe COVID-19 Breakthrough Illness by HIV Status and Primary Vaccination Series Type Among People With HIV (PWH) and People Without HIV (PWoH)

Graphs show incidence of illness by primary vaccination series type (A, log-rank test for Johnson & Johnson, P = .40; B, log-rank test for Pfizer, P = .67; C, log-rank test for Moderna, P = .15) and by primary series and additional vaccine doses (D, log-rank test, P = .02).Shaded areas denote 95% CIs.

Table 1.  Characteristics of Patients at Date of SARS-CoV-2 Breakthrough Infection
Characteristics of Patients at Date of SARS-CoV-2 Breakthrough Infection
Table 2.  Crude HRs and aHRs and 95% CIs of Severe SARS-CoV-2 Breakthrough Illness
Crude HRs and aHRs and 95% CIs of Severe SARS-CoV-2 Breakthrough Illness
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Original Investigation
Public Health
October 13, 2022

Analysis of Severe Illness After Postvaccination COVID-19 Breakthrough Among Adults With and Without HIV in the US

Author Affiliations
  • 1Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
  • 2Department of Medicine, University of Calgary, Calgary, Canada
  • 3Kaiser Permanente Mid-Atlantic States, Mid-Atlantic Permanente Research Institute, Rockville, Maryland
  • 4Stanford Center for Population Health Sciences, Palo Alto, California
  • 5VA Connecticut Healthcare System, West Haven
  • 6Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
  • 7Department of Medicine, Yale School of Medicine, New Haven, Connecticut
  • 8Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill
  • 9Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill
  • 10Division of Research, Kaiser Permanente Northern California, Oakland
  • 11Department of Infectious Diseases, Oakland Medical Center, Oakland, California
  • 12Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
  • 13Emory University School of Medicine, Atlanta, Georgia
  • 14Rollins School of Public Health, Atlanta, Georgia
  • 15Atlanta Veterans Affairs Medical Center, Decatur, Georgia
  • 16Epidemiology Branch, Division of AIDS at National Institute of Allergy and Infectious Diseases, National Institute of Health, Rockville, Maryland
JAMA Netw Open. 2022;5(10):e2236397. doi:10.1001/jamanetworkopen.2022.36397
Key Points

Question  In 2021, among fully vaccinated people with breakthrough COVID-19 illness, was the risk of severe illness higher for people with HIV (PWH) compared with people without HIV (PWoH)?

Findings  In this cohort study of 3649 patients with breakthrough COVID-19, there was no overall difference in risk of severe disease between PWH and PWoH. PWH with CD4 cell count less than 350 cells/μL had a 59% increased risk of severe breakthrough illness compared with PWoH.

Meaning  Although vaccinations effectively reduce the risk of severe COVID-19 illness in both PWH and PWoH, these findings suggest that PWH with moderate or severe immune suppression (CD4 cell count <350 cells/μL) could be at higher risk of severe breakthrough infection compared with PWoH, and PWH with moderate immune suppression should be considered for additional vaccine dosages and other risk-reduction measures.

Abstract

Importance  Understanding the severity of postvaccination SARS-CoV-2 (ie, COVID-19) breakthrough illness among people with HIV (PWH) can inform vaccine guidelines and risk-reduction recommendations.

Objective  To estimate the rate and risk of severe breakthrough illness among vaccinated PWH and people without HIV (PWoH) who experience a breakthrough infection.

Design, Setting, and Participants  In this cohort study, the Corona-Infectious-Virus Epidemiology Team (CIVET-II) collaboration included adults (aged ≥18 years) with HIV who were receiving care and were fully vaccinated by June 30, 2021, along with PWoH matched according to date fully vaccinated, age group, race, ethnicity, and sex from 4 US integrated health systems and academic centers. Those with postvaccination COVID-19 breakthrough before December 31, 2021, were eligible.

Exposures  HIV infection.

Main Outcomes and Measures  The main outcome was severe COVID-19 breakthrough illness, defined as hospitalization within 28 days after a breakthrough SARS-CoV-2 infection with a primary or secondary COVID-19 discharge diagnosis. Discrete time proportional hazards models estimated adjusted hazard ratios (aHRs) and 95% CIs of severe breakthrough illness within 28 days of breakthrough COVID-19 by HIV status adjusting for demographic variables, COVID-19 vaccine type, and clinical factors. The proportion of patients who received mechanical ventilation or died was compared by HIV status.

Results  Among 3649 patients with breakthrough COVID-19 (1241 PWH and 2408 PWoH), most were aged 55 years or older (2182 patients [59.8%]) and male (3244 patients [88.9%]). The cumulative incidence of severe illness in the first 28 days was low and comparable between PWoH and PWH (7.3% vs 6.7%; risk difference, −0.67%; 95% CI, −2.58% to 1.23%). The risk of severe breakthrough illness was 59% higher in PWH with CD4 cell counts less than 350 cells/μL compared with PWoH (aHR, 1.59; 95% CI, 0.99 to 2.46; P = .049). In multivariable analyses among PWH, being female, older, having a cancer diagnosis, and lower CD4 cell count were associated with increased risk of severe breakthrough illness, whereas previous COVID-19 was associated with reduced risk. Among 249 hospitalized patients, 24 (9.6%) were mechanically ventilated and 20 (8.0%) died, with no difference by HIV status.

Conclusions and Relevance  In this cohort study, the risk of severe COVID-19 breakthrough illness within 28 days of a breakthrough infection was low among vaccinated PWH and PWoH. PWH with moderate or severe immune suppression had a higher risk of severe breakthrough infection and should be included in groups prioritized for additional vaccine doses and risk-reduction strategies.

Introduction

Vaccination for SARS-CoV-2 is an effective protective measure against COVID-19.1-3 Observational studies4-9 suggest that people with HIV (PWH) have a higher risk for postvaccination SARS-CoV-2 infection (ie, breakthrough) than people without HIV (PWoH). Data on breakthrough COVID-19 illness, particularly severe illness requiring hospitalization, for PWH remain sparse.10,11

Differences in COVID-19 illness severity by HIV status are unknown, with some studies finding comparable severity12-15 and others reporting increased severity among PWH compared with PWoH.16-20 Limitations of prior studies included sample size, lack of comparator populations of PWoH, residual confounding in observational studies, and occurrence before COVID-19 vaccine availability. Large-scale data are needed to observe a sufficient sample size of breakthrough illness for addressing risk factors associated with severe illness, by HIV status and immune suppression among PWH.

Current US Centers for Disease Control and Prevention (CDC) guidelines recommend risk reduction behaviors (ie, mask wearing), an additional COVID-19 primary series vaccine dose, and a second booster dose for PWH with “advanced or untreated HIV infection.”21,22 PWH with partially recovered CD4 cell counts (>200 cells/μL) and moderate immune suppression are not currently recommended for an additional or second booster dose. Our objective was to determine whether HIV infection was associated with increased severe COVID-19 illness among fully vaccinated adults with a breakthrough SARS-CoV-2 infection and to identify the factors associated with severe COVID-19 breakthrough illness among PWH, including level of immune suppression and HIV viral replication.

Methods
Study Population

The Corona-Infectious-Virus Epidemiology Team (CIVET-II) cohort is composed of 4 cohorts including Kaiser Permanente Mid-Atlantic States (Maryland, District of Columbia, and northern Virginia), Kaiser Permanente Northern California, University of North Carolina Chapel Hill HIV Clinic, and the Veterans Aging Cohort Study (VACS), a cohort of PWH (and similar PWoH) receiving care within the National US Veterans Affairs Healthcare System. This collaboration is an extension of the North American AIDS Cohort Collaboration on Research and Design.23 Cohorts received approval (including waivers and/or exemptions of consent when necessary) from their local institutional review boards. Approval for this cohort study was obtained from the Johns Hopkins Bloomberg School of Public Health institutional review board. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guidelines were followed.

Adults (aged ≥18 years) who were receiving care at 1 of the 4 institutions (eTable 1 in the Supplement) and were fully vaccinated against COVID-19 between December 11, 2020 (Emergency Use Authorization of the first COVID-19 vaccine), and June 30, 2021, were identified. Full vaccination status was defined using CDC criteria: (1) 14 days after BNT162 (Pfizer) or mRNA-1273 (Moderna) mRNA vaccine second dose or (2) 14 days after Janssen Ad26.COV2.S (Johnson & Johnson) single dose.24 Three PWoH were matched to each PWH according to the date fully vaccinated (within 14 days of the PWH vaccination date), 10-year age group, race, ethnicity, and sex at birth within each contributing cohort. Race and ethnicity were extracted from electronic health records (EHRs) with both self-report and clinician-observed sources. Race and ethnicity were included because of the disproportionate burdens of HIV by race and ethnicity. The VACS (67 627 patients) matches each veteran with HIV to 2 veterans without HIV according to age, race, ethnicity, sex, and clinical site at cohort entry; VACS participants were not matched by date fully vaccinated.25

The study population for this nested study included all those with observed COVID-19 breakthrough, defined as the first detected SARS-CoV-2 infection (detectable SARS-CoV-2 nucleic acid amplification assay or antigen test) or COVID-19 diagnosis using International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) codes (eTable 2 in the Supplement) after the date fully vaccinated. If a COVID-19 diagnosis code was also identified within the 90-day window of detectable result, the first laboratory test was the diagnosis date. All variables were abstracted from EHRs.

Outcome: Severe COVID-19 Breakthrough Illness

Severe COVID-19 breakthrough illness was defined as (1) hospitalization within 28 days of breakthrough and (2) discharge diagnosis ranked first or second was COVID-19. All discharge diagnoses were evaluated by 1 infectious disease physician (R.L.) to exclude hospitalizations that were unlikely to be due to COVID-19 (trauma, surgical, non–COVID-19 infections, mental health, or substance use admissions). Only the first-ranked discharge diagnosis was available for 1 cohort (contributing 28% of the study population). In this cohort, if COVID-19 was not the first-ranked discharge diagnosis and there was 1 or more other discharge diagnosis suggestive of COVID-19 (ie, acute respiratory failure), the patient was classified as having severe COVID-19 breakthrough.

Mechanical ventilation and extracorporeal membrane oxygenation procedures were extracted from ICD-10 procedure and Current Procedural Terminology codes (eTable 2 in the Supplement). Death occurring during or within 30 days following hospitalization or within 30 days following COVID-19 diagnosis among those not hospitalized was extracted from EHRs.

Exposure: HIV Infection

PWH were identified using HIV registries or HIV ICD-10 diagnosis codes (eTable 1 in the Supplement). PWoH had no evidence of HIV infection using these same sources as of December 11, 2020.

Covariates

Demographic covariates included age, race, ethnicity, and birth sex. COVID-19 covariates included the primary series vaccine type (Pfizer, Moderna, Johnson & Johnson), additional vaccine dose (receipt ≥28 days after completion of primary series), and SARS-CoV-2 infection before the date fully vaccinated (history of COVID-19).

Comorbidity covariates included obesity (body mass index [calculated as weight in kilograms divided by height in meters squared] ≥30), type 2 diabetes, hypertension, end-stage kidney disease (ESKD), immune suppressive conditions (tissue or solid organ transplantation [SOT], rheumatoid arthritis [RA], systemic lupus erythematosus [SLE]), cancer, and pregnancy. Comorbidity diagnoses were identified using ICD-10 codes, measured closest to the date fully vaccinated and after October 1, 2015, or January 1, 2020, for cancer and pregnancy only (eTable 2 in the Supplement).

Among PWH, CD4 cell count and HIV-1 plasma RNA viral load suppression were collected closest to the date fully vaccinated after January 1, 2020, and at antiretroviral therapy initiation (from 12 months before to 1 month after). HIV viral suppression was defined as less than 50 copies/mL. History of AIDS diagnosis (clinical diagnosis26 or CD4 cell count <200 cells/μL) before date fully vaccinated was included.

Statistical Analysis

Study entry was the date of observed breakthrough COVID-19. Individuals were followed to the first date of severe breakthrough COVID-19 illness (outcome) or date of death, disenrollment from the health system, 28 days after breakthrough COVID-19, or December 31, 2021.

Severe COVID-19 breakthrough illness monthly incidence rates (IRs) per 100 person-years and 95% CIs were calculated by HIV status. Severe COVID-19 breakthrough cumulative incidence was estimated from the date of breakthrough through day 28; estimates were stratified by HIV status, and among PWH, CD4 cell count, and viral suppression. Using the same timescale, cumulative incidence was estimated by HIV status for each vaccine type and for those who received an additional vaccine dose (≥28 days after primary series completion and before breakthrough COVID-19). Log-rank tests were calculated to test for differences in cumulative incidence, and risk differences were estimated with SE and Wald 95% CI.

A discrete time-to-event analysis using a complimentary log-log model estimated the unadjusted and adjusted hazard ratios (aHRs) with 95% CI for severe COVID-19 breakthrough illness risk by HIV status. Adjustment factors included sex, race, ethnicity, age, additional vaccine dose following primary series, prior COVID-19, obesity, diabetes, hypertension, ESKD, SOT, RA, SLE, cancer, and cohort. Among PWH, prior AIDS diagnosis, HIV viral suppression, and CD4 cell count were evaluated as risk factors for severe COVID-19 in a subgroup analysis. Sensitivity analyses excluded participants without first or second diagnosis code rankings. Analyses were conducted with R statistical software version 4.1.2 (R Project for Statistical Computing). Two-sided P < .05 was considered significant.

Results

Among 113 994 patients (33 029 PWH and 80 965 PWoH), 3649 experienced breakthrough COVID-19 (1241 PWH and 2408 PWoH); 2182 patients (59.8%) were aged 55 years or older, 3244 patients (88.9%) were male, and 1706 (46.8%) were non-Hispanic Black. Among those with breakthrough COVID-19, 2158 (59.1%) received Pfizer and 1140 (31.2%) received Moderna for their primary series; 546 patients (15.0%) received an additional COVID-19 vaccine dose 28 days or more after primary series completion (242 PWH [19.5%] and 304 PWoH [12.6%]). The median (IQR) time from primary series completion to additional dose was 188 (151-220) days among PWH and 221 (200-242) days among PWoH (eFigure 1 in the Supplement). The majority of observed COVID-19 breakthroughs were laboratory confirmed (2740 breakthroughs [75.1%]); 1771 breakthroughs (48.5%) occurred during the Delta variant (B.1.617.2) surge from July to October 2021, and 1497 (41.0%) occurred from November to December 2021 (Omicron variant B.1.1.529 wave) (Table 1). Among PWH, 325 (26.2%) had a history of AIDS, 1016 (90.6%) were virally suppressed, and the median (IQR) CD4 cell count was 620 (438-846) cells/μL at the time fully vaccinated. A lower proportion of PWH than PWoH had obesity, diabetes, hypertension, or ESKD at the date fully vaccinated (829 patients [66.8%] vs 1865 patients [77.5%]). PWH with a breakthrough COVID-19 illness who had a CD4 cell count of less than 200 cells/μL (9 of 54 patients [16.7%]) and 200 to 349 cells/μL(17 of 109 patients [15.6%]) were less likely to receive an additional vaccine dose, compared with PWH with CD4 cell counts greater than or equal to 350 cells/μL(182 of 899 patients [20.5%]) (eTable 3 in the Supplement).

Two hundred forty-nine participants (6.8% overall; 79 PWH [6.4%]; 170 PWoH [7.1%]) had severe COVID-19 breakthrough illness and were hospitalized (Table 1 and eFigure 2 in the Supplement). Most hospitalizations (163 hospitalizations [65.5%]) occurred on the same day, and 202 hospitalizations (81.1%) occurred within 2 days following COVID-19 diagnosis. The greater proportion of those with obesity, diabetes, hypertension, or ESKD at the date fully vaccinated in PWoH compared with PWH persisted among those who were hospitalized (160 patients [94.1%] vs 65 patients [82.3%]). The median (IQR) duration of hospitalization was 5 (3-8) days among PWoH and 4 (2-8) days among PWH. Among all hospitalized patients, 24 (9.6%) were mechanically ventilated (Table 1). There were 33 deaths (0.9% overall; 12 PWH [1.0%]; 21 PWoH [0.8%]) among all those with COVID-19 breakthrough illness that occurred within 30 days of COVID-19 diagnosis. Among the 249 patients hospitalized, there were 20 deaths (8.0%) that occurred while the patients were hospitalized or within 30 days of discharge. eTable 4 in the Supplement describes characteristics stratified by HIV and severe COVID-19 breakthrough illness.

IRs and Cumulative Incidence of Severe COVID-19 Breakthrough Illness

The IRs of severe COVID-19 breakthrough illness were similar among PWoH (138 cases per 100 person-years; 95% CI, 118-160 cases per 100 person-years) vs PWH (117 cases per 100 person-years; 95% CI, 92-145 cases per 100 person-years) and were stable over time (Figure 1 and eTable 5 in the Supplement). There were slight fluctuations reflecting the bimodal distribution of the Delta and Omicron variant waves (eFigure 3 in the Supplement).

The 28-day cumulative incidence of severe COVID-19 breakthrough illness was similar among PWoH vs PWH (7.3% [95% CI, 6.3% to 8.4%] vs 6.7% [95% CI, 5.2% to 8.1%]; log-rank P = .39; risk difference, –0.67% [95% CI, –2.58% to 1.23%]) (Figure 2A). PWH with lower CD4 cell counts (<350 cells/μL) at full vaccination had a higher risk of severe COVID-19 breakthrough illness compared with PWH with CD4 cell counts greater than or equal to 350 cells/μL and PWoH (Figure 2B and eFigure 4 in the Supplement). Risk did not differ by HIV viral load (Figure 2C).

Severe COVID-19 breakthrough illness risk was highest among patients with Johnson & Johnson primary vaccine series (9.3%; 95% CI, 6.1%-12.4%), followed by Pfizer (7.2%; 95% CI, 6.1%-8.3%), and Moderna (6.2%; 95% CI, 4.8%-7.7%) (Figure 3A), with no significant differences by HIV status within each vaccine group. Regardless of the primary vaccine series type, having an additional dose was associated with reduced risk of severe COVID-19 breakthrough illness in both PWH and PWoH (Figure 3B)

Factors Associated With Risk of Severe COVID-19 Breakthrough Illness, by HIV Status

In unadjusted models, PWH with CD4 cell count less than 350 cells/μL had a higher risk of severe infection than PWoH (HR, 2.00; 95% CI, 1.26-3.02). In adjusted analyses, there was no difference in severe COVID-19 breakthrough illness risk among PWH vs PWoH (aHR, 1.02; 95% CI, 0.76-1.35). PWH with a CD4 cell count less than 350 cells/μL had a 59% increased risk of severe breakthrough illness compared with PWoH (aHR, 1.59; 95% CI, 0.99-2.46; P = .049) (Table 2). Stratified by HIV status, PWH and PWoH had an increased risk of severe COVID-19 breakthrough illness with increasing age and history of COVID-19 (before being fully vaccinated), and decreased risk among those with an additional vaccine dose.

Among PWH, severe COVID-19 breakthrough risk increased with decreasing CD4 cell count (compared with CD4 cell count ≥500 cells/μL) (Table 2). Female PWH had a nearly 3-fold increased severe COVID-19 breakthrough risk vs male PWH. Increased risk associated with non-Hispanic Black race and Hispanic ethnicity and comorbidities ranged from 12% to 52%. Having a cancer diagnosis was associated with nearly 2-fold increased risk of severe COVID-19 breakthrough illness.

Among PWoH, women had a reduced risk of severe COVID-19 breakthrough illness compared with men (aHR, 0.48; 95% CI, 0.16-1.12) although the difference was not significant (Table 2). There was no observed difference in risk by race, obesity, diabetes, RA, SLE or having a cancer diagnosis, but there was a 4.51-fold increased risk with hypertension and 2.53-fold increased risk with ESKD and 2.49-fold increased risk with SOT. Sensitivity analyses excluding patients without diagnosis code rankings did not qualitatively change findings.

Mechanical Ventilation and Death in Severe COVID-19 Breakthrough Illness

Among the 249 hospitalized patients, a greater proportion of patients with CD4 cell counts less than 350 cells/μL required mechanical ventilation or died during hospitalization compared with PWH with higher CD4 counts and PWoH (eFigure 5 in the Supplement). No patients received extracorporeal membrane oxygenation.

Patients who needed mechanical ventilation (24 patients) or died (33 patients) were older (aged ≥55 years), male, non-Hispanic Black, had high proportions of comorbidities, and low uptake (10%-13%) of additional vaccine doses (eTable 6 in the Supplement). Of the 20 known deaths during or within 30 days following COVID-19 hospitalization, most occurred in patients with obese body mass index (13 patients [65.0%]), hypertension (19 patients [95.0%]), diabetes (13 patients [65.0%]), ESKD (6 patients [30.0%]), SOT (4 patients [20.0%]), RA (2 patients [10.0%]), or cancer (5 patients [25.0%]). Among 6 PWH who died during a severe COVID-19 breakthrough illness, 3 (50.0%) had a prior diagnosis of AIDS and their median (IQR) CD4 cell count at full vaccination was 352 (291-423) cells/μL.

Discussion

Prior CIVETs collaboration analyses4 showed a 28% increase in breakthrough COVID-19 among PWH vs PWoH. The findings of this cohort study showed that the risk of severe illness (requiring hospitalization) after COVID-19 breakthrough was low (6.8% of 3649 vaccinated PWH and PWoH) and did not differ by HIV status overall. PWH with lower CD4 cell counts (<350 cells/μL), however, had higher risk of severe COVID-19 breakthrough illness compared with PWoH, suggesting a role of immune dysfunction in the increased risk. The lack of difference in severe COVID-19 breakthrough illness risk between PWoH and PWH with higher CD4 cell counts may be associated with engagement in medical care, different health care–seeking behaviors, and reduced comorbidities among the PWH included compared with PWoH. The increased risk of severe COVID-19 breakthrough illness for PWH with moderate immune suppression (ie, CD4 cell count 200-349 cells/μL)27 (1) suggests that the recommendation for additional primary series vaccination doses should be expanded to PWH with moderate immune suppression, (2) supports the current recommendation of a first booster, and (3) suggests counseling on risk-reduction strategies among those with moderate immune suppression.

Prior studies28,29 have also demonstrated that greater immune dysfunction is associated with increased severe COVID-19 illness risk in PWH. Both CD4+ and CD8+ T cells have important roles in the viral immune response and are positively correlated with the antibody response to SARS-CoV-2.29,30 CD4+ T-cell function is needed for effective vaccine responses.27,31 The increased risk of severe COVID-19 breakthrough among PWH with lower CD4 cell counts is likely multifactorial and requires further investigation.

Sex, age, comorbidities, additional vaccine doses, and prior COVID-19 infection are associated with the risk of severe COVID-19 breakthrough illness.10,32-34 Among both PWoH and PWH, increasing age was the most significant factor associated with severe COVID-19 breakthrough illness in our study. Female PWoH had reduced risk, which has been previously documented35-37; however, female PWH had increased risk of severe illness. It is known that male and female individuals have distinct immune system responses, with female individuals often demonstrating increased immune competence and less inflammatory immune responses, possibly contributing to their reduced risk of severe COVID-19 breakthrough illness; however, immune dysfunction with HIV may alter this effect.35,38,39 Additionally, among the female PWH, a high proportion had obesity, which likely influenced the increased risk of severe breakthrough illness and warrants further investigation.

Despite recommendations for additional COVID-19 vaccine doses being based in part on CD4 cell count,22 we identified that the proportion of PWH who received additional doses was low, varied little by CD4 cell count, and was likely associated with clinical decision-making and patient preference. Prior COVID-19 has been found to reduce the risk of subsequent COVID-19 illness, particularly following vaccination40; our findings furthered this demonstrating a reduction in severe breakthrough COVID-19 among people with COVID-19 prior to full vaccination.

Among PWoH, several comorbidities have been associated with increased severe COVID-19 breakthrough illness risk.33,34,41 Our findings suggest an increased risk associated with hypertension, ESKD, and SOT. Comorbidities were prevalent among those who experienced a severe COVID-19 breakthrough illness with most having a diagnosis of obesity, diabetes, hypertension, or ESKD. A lower proportion of PWH had at least 1 comorbidity than PWoH (94.1% vs 82.3%), yet their severe COVID-19 breakthrough rates remained the same as PWoH. In unadjusted analyses, moderate to severe immune suppression from HIV itself was associated with increased risk of severe COVID-19 breakthrough, as were comorbidities and a recent cancer diagnosis among PWH. Mechanical ventilation and death were rare among both PWH and PWoH with breakthrough COVID-19 and were more likely to be experienced by those older than 55 years with 1 or more comorbidity, highlighting the need for targeted risk reduction measures among older and comorbid adults.

Limitations

This study has limitations. Our findings may not be generalizable to all PWH, as our study population had a greater proportion of men (88.9%) than found in the US population of PWH, and those with higher barriers to accessing health care (who may be at greater risk for COVID-19) were less likely to be included in our study population. Health care utilization may also differ by HIV status, which could impact inclusion with recognized breakthrough and decisions for hospitalization (outcome). Other outcome data, including mechanical ventilation and death (particularly if death occurred out of hospital) may be underascertained. All discharge diagnoses were reviewed by clinicians to increase specificity in our classification of COVID-19 hospitalization, but discharge coding can be influenced by many factors including reimbursement practices. Our findings may not be generalizable to all SARS-CoV-2 variants; however, our study was conducted while Alpha, Delta, and Omicron variants were circulating. In addition, on the basis of the timing of additional primary series doses and booster recommendations in 2021, the majority of additional doses received were timed more similarly to a booster dose than an additional dose in the primary vaccination series.

Conclusions

Severe COVID-19 breakthrough illness was rare in our population of PWH and PWoH, with no overall differences in risk between the 2 groups; however, PWH with both moderate and severe immune suppression had an increased risk of severe COVID-19 breakthrough illness compared with PWoH. In addition to PWH with severe immune suppression, PWH with moderate immune suppression may benefit from being included in the CDC’s recommendations for those with advanced and untreated HIV. Clinicians should continue to promote risk-reduction measures among PWH. The potentially increased risk of severe COVID-19 breakthrough illness in PWH with moderate and severe immune suppression merits ongoing surveillance to inform vaccine recommendations as the pandemic persists, immunity to primary vaccine series and booster doses wane, and new variants emerge.

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Article Information

Accepted for Publication: August 24, 2022.

Published: October 13, 2022. doi:10.1001/jamanetworkopen.2022.36397

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2022 Lang R et al. JAMA Network Open.

Corresponding Author: Keri N. Althoff, PhD, MPH, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Rm E7142, Baltimore, MD 20295 (kalthoff@jh.edu).

Author Contributions: Ms Humes and Dr Althoff had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Lang, Fathi, Park, Justice, Napravnik, Marconi, Williams, Althoff.

Acquisition, analysis, or interpretation of data: Lang, Humes, Coburn, Horberg, Watson, Jefferson, Park, Gordon, Akgün, Justice, Napravnik, Edwards, Browne, Agil, Silverberg, Skarbinski, Leyden, Stewart, Hogan, Gebo, Marconi, Althoff.

Drafting of the manuscript: Lang, Coburn, Horberg, Fathi, Marconi.

Critical revision of the manuscript for important intellectual content: Lang, Humes, Coburn, Horberg, Watson, Jefferson, Park, Gordon, Akgün, Justice, Napravnik, Edwards, Browne, Agil, Silverberg, Skarbinski, Leyden, Stewart, Hogan, Gebo, Marconi, Williams, Althoff.

Statistical analysis: Lang, Humes, Coburn, Justice, Napravnik, Edwards, Leyden, Althoff.

Obtained funding: Justice, Napravnik, Althoff.

Administrative, technical, or material support: Fathi, Park, Gordon, Akgün, Justice, Napravnik, Edwards, Browne, Agil, Skarbinski, Leyden, Stewart, Hogan, Gebo.

Supervision: Justice, Napravnik, Marconi, Williams, Althoff.

Conflict of Interest Disclosures: Dr Lang reported receiving grants from Canadian Institutes of Health Research (CIHR), Alberta Innovates, and the University of Calgary paid to their institution. Dr Horberg reported receiving grants from the National Institutes of Health (NIH) paid to their institution. Ms Jefferson reported receiving grants from the NIH paid to their institution. Dr Park reported receiving grants from the NIH paid to their institution. Dr Napravnik reported receiving grants from the NIH paid to their institution. Dr Edwards reported receiving grants from the NIH paid to their institution. Ms Browne reported receiving grants from the NIH paid to their institution. Dr Skarbinski reported receiving grants from the NIH paid to their institution. Dr Gebo reported receiving grants from the NIH and Department of Defense paid to their institution. Dr Marconi has received investigator-initiated research grants (to the institution) and consultation fees (both unrelated to the current work) from Eli Lilly, Bayer, Gilead Sciences, and ViiV. Dr Althoff reported receiving grants from the NIH paid to their institution and serving as a consultant to the All of Us Research Program (NIH), TrioHealth, Kennedy Dundas, and MedIQ (fees paid to her). No other disclosures were reported.

Funding/Support: This project was made possible with supplemental funds to the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD, U01AI069918) from the National Institute of Allergy and Infectious Diseases (NIAID). The NA-ACCORD is supported by NIH grants U01AI069918, F31AI124794, F31DA037788, G12MD007583, K01AI093197, K01AI131895, K23EY013707, K24AI065298, K24AI118591, K24DA000432, KL2TR000421, N01CP01004, N02CP055504, N02CP91027, P30AI027757, P30AI027763, P30AI027767, P30AI036219, P30AI050409, P30AI050410, P30AI094189, P30AI110527, P30MH62246, R01AA016893, R01DA011602, R01DA012568, R01AG053100, R24AI067039, R34DA045592, U01AA013566, U01AA020790, U01AI038855, U01AI038858, U01AI068634, U01AI068636, U01AI069432, U01AI069434, U01DA036297, U01DA036935, U10EY008057, U10EY008052, U10EY008067, U01HL146192, U01HL146193, U01HL146194, U01HL146201, U01HL146202, U01HL146203, U01HL146204, U01HL146205, U01HL146208, U01HL146240, U01HL146241, U01HL146242, U01HL146245, U01HL146333, U24AA020794, U54GM133807, UL1RR024131, UL1TR000004, UL1TR000083, UL1TR002378, UL1TR002489, Z01CP010214 and Z01CP010176; contracts CDC-200-2006-18797 and CDC-200-2015-63931 from the Centers for Disease Control and Prevention (CDC); contract 90047713 from the Agency for Healthcare Research and Quality; contract 90051652 from the Health Resources and Services Administration; the Grady Health System; grants CBR-86906, CBR-94036, HCP-97105, and TGF-96118 from the CIHR; Ontario Ministry of Health and Long Term Care; and the Government of Alberta, Canada. Additional support was provided by the NIAID, National Cancer Institute, National Heart, Lung, and Blood Institute, Eunice Kennedy Shriver National Institute of Child Health & Human Development, National Human Genome Research Institute, National Institute for Mental Health, National Institute on Drug Abuse, National Institute on Aging, National Institute of Dental & Craniofacial Research, National Institute of Neurological Disorders and Stroke, National Institute of Nursing Research, National Institute on Alcohol Abuse and Alcoholism, National Institute on Deafness and Other Communication Disorders, and National Institute of Diabetes and Digestive and Kidney Diseases.

Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Disclaimer: The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH, Department of Veterans Affairs, or the CDC.

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