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Shi F, Zhang J, Yang X, Gao H, Chen S, Weissman S, Olatosi B, Li X. COVID-19 Testing Among People with HIV: A Population Level Analysis Based on Statewide Data in South Carolina. AIDS Behav 2024; 28:22-32. [PMID: 38109020 DOI: 10.1007/s10461-023-04244-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/02/2023] [Indexed: 12/19/2023]
Abstract
People with HIV (PWH) are at an elevated risk of developing severe COVID-19 outcomes because of compromised immunity and more comorbidities. However, existing literature suggests a lower rate of COVID-testing among PWH. This study aimed to explore the temporal trend of county-level COVID-19 testing rate and multi-level predictors of COVID-19 ever-testing among PWH in South Carolina (SC). Leveraging linked statewide HIV and COVID-19 datasets, we defined the study population as all adult (18 + years) PWH who were alive on March 2020 and living in SC. PWH with a COVID-19 testing record between March 2020 and October 2021 were defined as COVID-19 ever-testers. Logistic regression and generalized mixed models were used to investigate the association of PWH's demographic profile, HIV clinical characteristics (e.g., CD4 count, viral load), comorbidities, and social factors with COVID-19 testing among PWH. Among 15,660 adult PWH, 8,005 (51.12%) had ever tested for COVID-19 during the study period (March 2020-October 2021). PWH with older age, being male, and Hispanics were less likely to take COVID-19 testing, while men who have sex with men or injection drug users were more likely to take COVID-19 testing. PWH with higher recent viral load (10,000-100,000 copies/ml vs. <200 copies/ml: adjusted odds ratio [AOR]: 0.64, 95%CI: 0.55-0.75) and lower CD4 counts (> 350 cells/mm3 vs. <200 cells/mm3: AOR: 1.25, 95%CI: 1.09-1.45) had lower odds for COVID-19 testing. Additionally, PWH with lower comorbidity burden and those living in rural areas were less likely to be tested for COVID-19. Differences in COVID-19 test-seeking behaviors were observed among PWH in the current study, which could help provide empirical evidence to inform the prioritization of further disease monitoring and targeted intervention. More efforts on building effective surveillance and screening systems are needed to allow early case detection and curbing disease transmission among older, male, Hispanic, and immune-suppressed PWH, especially in rural areas.
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Affiliation(s)
- Fanghui Shi
- South Carolina SmartState Center for Healthcare Quality (CHQ), University of South Carolina, Columbia, SC, US.
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC, 29208, US.
- Big Data Health Science Center, University of South Carolina, Columbia, SC, US.
| | - Jiajia Zhang
- South Carolina SmartState Center for Healthcare Quality (CHQ), University of South Carolina, Columbia, SC, US
- Big Data Health Science Center, University of South Carolina, Columbia, SC, US
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, US
| | - Xueying Yang
- South Carolina SmartState Center for Healthcare Quality (CHQ), University of South Carolina, Columbia, SC, US
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC, 29208, US
- Big Data Health Science Center, University of South Carolina, Columbia, SC, US
| | - Haoyuan Gao
- South Carolina SmartState Center for Healthcare Quality (CHQ), University of South Carolina, Columbia, SC, US
- Big Data Health Science Center, University of South Carolina, Columbia, SC, US
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, US
| | - Shujie Chen
- South Carolina SmartState Center for Healthcare Quality (CHQ), University of South Carolina, Columbia, SC, US
- Big Data Health Science Center, University of South Carolina, Columbia, SC, US
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, US
| | - Sharon Weissman
- Big Data Health Science Center, University of South Carolina, Columbia, SC, US
- School of Medicine, University of South Carolina, Columbia, SC, US
| | - Bankole Olatosi
- South Carolina SmartState Center for Healthcare Quality (CHQ), University of South Carolina, Columbia, SC, US
- Big Data Health Science Center, University of South Carolina, Columbia, SC, US
- Department of Health Services, Policy, and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Xiaoming Li
- South Carolina SmartState Center for Healthcare Quality (CHQ), University of South Carolina, Columbia, SC, US
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC, 29208, US
- Big Data Health Science Center, University of South Carolina, Columbia, SC, US
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Moran CA, Oliver NT, Szabo B, Collins LF, Nguyen MLT, Shah NS, Moanna A, Colasanti JA, Cantos VD, Armstrong WS, Sheth AN, Ofotokun I, Kelley CF, Marconi VC, Lahiri CD. The association between comorbidities and coronavirus disease 2019 hospitalization among people with HIV differs by age. AIDS 2023; 37:71-81. [PMID: 36111530 PMCID: PMC9742289 DOI: 10.1097/qad.0000000000003386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
OBJECTIVES To determine whether factors associated with coronavirus disease 2019 (COVID-19) hospitalization among people with HIV (PWH) differ by age stratum. DESIGN Retrospective cohort study. METHODS All adult PWH with a positive SARS-CoV-2 PCR in a public safety-net health system between 1 March 2020 and 28 February 2021 and a Veterans Affairs Medical Center between 1 1 March 2020 and 15 November 2020 in Atlanta, Georgia were included. We performed multivariable logistic regression to determine demographic and clinical factors associated with COVID-19 hospitalization overall and stratified by age less than 50 and at least 50 years. RESULTS Three hundred and sixty-five PWH (mean age 49 years, 74% cisgender male, 82% black) were included. Ninety-six percent were on antiretroviral therapy (ART), 87% had CD4 + T-cell count at least 200 cells/μl, and 89% had HIV-1 RNA less than 200 copies/ml. Overall, age [adjusted odds ratio (aOR) 95% confidence interval (CI) 1.07 (1.04-1.10)], later date of SARS-CoV-2 infection [aOR 0.997 (0.995-1.00)], heart disease [aOR 2.27 (1.06-4.85)], and history of hepatitis C virus (HCV) [aOR 2.59 (1.13-5.89)] were associated with COVID-19 hospitalization. Age-adjusted comorbidity burden was associated with 30% increased risk of hospitalization [aOR 1.30 (1.11-1.54)]. Among 168 PWH less than 50 years old, older age [aOR 1.09 (1.01-1.18)] and no ART use [aOR 40.26 (4.12-393.62)] were associated with hospitalization; age-adjusted comorbidity burden was not ( P = 0.25). Among 197 PWH at least 50, older age [aOR 1.10 (1.04-1.16)], heart disease [aOR 2.45 (1.04-5.77)], history of HCV [aOR 3.52 (1.29-9.60)], and age-adjusted comorbidity burden [aOR 1.36 (1.12-1.66)] were associated with hospitalization. CONCLUSION Comorbidity burden is more strongly associated with COVID-19 hospitalization among older, rather than younger, PWH. These findings may have important implications for risk-stratifying COVID-19 therapies and booster recommendations in PWH.
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Affiliation(s)
- Caitlin A Moran
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine
- Grady Health System, Atlanta
| | - Nora T Oliver
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine
- Atlanta Veterans Affairs Medical Center, Decatur
| | | | - Lauren F Collins
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine
- Grady Health System, Atlanta
| | - Minh Ly T Nguyen
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine
- Grady Health System, Atlanta
| | - N Sarita Shah
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine
- Atlanta Veterans Affairs Medical Center, Decatur
- Department of Epidemiology
- Hubert Department of Global Health, Emory University Rollins School of Public Health, Atlanta, Georgia, USA
| | - Abeer Moanna
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine
- Atlanta Veterans Affairs Medical Center, Decatur
| | - Jonathan A Colasanti
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine
- Grady Health System, Atlanta
- Hubert Department of Global Health, Emory University Rollins School of Public Health, Atlanta, Georgia, USA
| | - Valeria D Cantos
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine
- Grady Health System, Atlanta
| | - Wendy S Armstrong
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine
- Grady Health System, Atlanta
| | - Anandi N Sheth
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine
- Grady Health System, Atlanta
| | - Ighovwerha Ofotokun
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine
- Grady Health System, Atlanta
| | - Colleen F Kelley
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine
- Grady Health System, Atlanta
| | - Vincent C Marconi
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine
- Grady Health System, Atlanta
- Atlanta Veterans Affairs Medical Center, Decatur
- Hubert Department of Global Health, Emory University Rollins School of Public Health, Atlanta, Georgia, USA
| | - Cecile D Lahiri
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine
- Grady Health System, Atlanta
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Favara G, Barchitta M, Maugeri A, Faro G, Agodi A. HIV infection does not affect the risk of death of COVID-19 patients: A systematic review and meta-analysis of epidemiological studies. J Glob Health 2022; 12:05036. [PMID: 35972980 PMCID: PMC9380965 DOI: 10.7189/jogh.12.05036] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Background Even during the current Coronavirus Disease 2019 (COVID-19) pandemic, the infection with the Human Immunodeficiency Virus (HIV) continues to pose a major threat, worldwide. In fact, the World Health Organization (WHO) defined the HIV infection as a risk factor for both severe COVID-19, at hospital admission, and in-hospital mortality. Despite this evidence, however, there remains the need for investigating whether SARS-CoV-2 infection could increase the risk of death among people living with HIV (PLHIV). Thus, we conducted a systematic review and meta-analysis to assess the impact of the SARS-CoV-2 infection on the risk of death among PLHIV and HIV- seronegative people. Methods The literature search was carried out on PubMed, Embase and Web of Science databases, from the inception to February 2022. Epidemiological studies on patients tested positive for SARS-CoV-2 infection, which compared the proportion of deaths between PLHIV and HIV-seronegative people, were considered eligible for the inclusion. The pooled odds ratio (OR) was obtained through meta-analysis of the comparison between PLHIV and HIV-seronegative people. Study quality was assessed by using the Newcastle-Ottawa Quality Assessment. Results On a total of 1001 records obtained from the literature search, the present systematic review and meta-analysis included 28 studies on 168 531 PLHIV and 66 712 091 HIV-seronegative patients with SARS-CoV-2 infection. The meta-analysis showed no difference in the risk of death between PLHIV and HIV-seronegative patients (OR = 1.09; 95% confidence interval (CI) = 0.93-1.26; P > 0.001). However, a significant heterogeneity was found for this comparison (I2 = 88.8%, P < 0.001). Conclusions Although our meta-analysis suggests no difference in the risk of death of PLHIV with SARS-CoV-2 infection, if compared with HIV-seronegative patients, further research should be encouraged to improve the current knowledge about the impact of SARS-CoV-2 and HIV co-infection.
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Han X, Hou H, Xu J, Ren J, Li S, Wang Y, Yang H, Wang Y. Significant association between HIV infection and increased risk of COVID-19 mortality: a meta-analysis based on adjusted effect estimates. Clin Exp Med 2022:10.1007/s10238-022-00840-1. [PMID: 35695974 PMCID: PMC9189270 DOI: 10.1007/s10238-022-00840-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 05/09/2022] [Indexed: 12/13/2022]
Abstract
To investigate the relationship between human immunodeficiency virus (HIV) infection and the risk of mortality among coronavirus disease 2019 (COVID-19) patients based on adjusted effect estimate by a quantitative meta-analysis. A random-effects model was used to estimate the pooled effect size (ES) with corresponding 95% confidence interval (CI). I2 statistic, sensitivity analysis, Begg’s test, meta-regression and subgroup analyses were also conducted. This meta-analysis presented that HIV infection was associated with a significantly higher risk of COVID-19 mortality based on 40 studies reporting risk factors-adjusted effects with 131,907,981 cases (pooled ES 1.43, 95% CI 1.25–1.63). Subgroup analyses by male proportion and setting yielded consistent results on the significant association between HIV infection and the increased risk of COVID-19 mortality. Allowing for the existence of heterogeneity, further meta-regression and subgroup analyses were conducted to seek the possible source of heterogeneity. None of factors might be possible reasons for heterogeneity in the further analyses. Sensitivity analysis indicated the robustness of this meta-analysis. The Begg’s test manifested that there was no publication bias (P = 0.2734). Our findings demonstrated that HIV infection was independently associated with a significantly increased risk of mortality in COVID-19 patients. Further well-designed studies based on prospective study estimates are warranted to confirm our findings.
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Affiliation(s)
- Xueya Han
- Department of Epidemiology, School of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, Henan Province, China
| | - Hongjie Hou
- Department of Epidemiology, School of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, Henan Province, China
| | - Jie Xu
- Department of Epidemiology, School of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, Henan Province, China
| | - Jiahao Ren
- Department of Epidemiology, School of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, Henan Province, China
| | - Shuwen Li
- Department of Epidemiology, School of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, Henan Province, China
| | - Ying Wang
- Department of Epidemiology, School of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, Henan Province, China
| | - Haiyan Yang
- Department of Epidemiology, School of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, Henan Province, China.
| | - Yadong Wang
- Department of Toxicology, Henan Center for Disease Control and Prevention, Zhengzhou, 450016, Henan Province, China
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Rosenthal EM, Rosenberg ES, Patterson W, Ferguson WP, Gonzalez C, DeHovitz J, Udo T, Rajulu DT, Hart-Malloy R, Tesoriero J. Factors associated with SARS-CoV-2-related hospital outcomes among and between persons living with and without diagnosed HIV infection in New York State. PLoS One 2022; 17:e0268978. [PMID: 35613145 PMCID: PMC9132290 DOI: 10.1371/journal.pone.0268978] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 05/11/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Persons living with diagnosed HIV (PLWDH) are at increased risk for severe illness due to COVID-19. The degree to which this due to HIV infection, comorbidities, or other factors remains unclear. METHODS We conducted a retrospective matched cohort study of individuals hospitalized with COVID-19 in New York State between March and June 2020, during the first wave of the pandemic, to compare outcomes among 853 PLWDH and 1,621 persons without diagnosed HIV (controls). We reviewed medical records to compare sociodemographic and clinical characteristics at admission, comorbidities, and clinical outcomes between PLWDH and controls. HIV-related characteristics were evaluated among PLWDH. RESULTS PLWDH were significantly more likely to have cardiovascular (matched prevalence-ratio [mPR], 1.22 [95% CI, 1.07-1.40]), chronic liver (mPR, 6.71 [95% CI, 4.75-9.48]), chronic lung (mPR, 1.76 [95% CI, 1.40-2.21]), and renal diseases (mPR, 1.77 [95% CI, 1.50-2.09]). PLWDH were less likely to have elevated inflammatory markers upon hospitalization. Relative to controls, PLWDH were 15% less likely to require mechanical ventilation or extracorporeal membrane oxygenation (ECMO) and 15% less likely to require admission to the intensive care unit. No significant differences were found in in-hospital mortality. PLWDH on tenofovir-containing regimens were significantly less likely to require mechanical ventilation or ECMO (risk-ratio [RR], 0.73 [95% CI, 0.55-0.96]) and to die (RR, 0.74 [95% CI, 0.57-0.96]) than PLWDH on non-tenofovir-containing regimens. CONCLUSIONS While hospitalized PLWDH and controls had similar likelihood of in-hospital death, chronic disease profiles and degree of inflammation upon hospitalization differed. This may signal different mechanisms leading to severe COVID-19.
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Affiliation(s)
- Elizabeth M. Rosenthal
- New York State Department of Health, Albany, New York, United States of America
- University at Albany School of Public Health, State University of New York, Rensselaer, New York, United States of America
| | - Eli S. Rosenberg
- New York State Department of Health, Albany, New York, United States of America
- University at Albany School of Public Health, State University of New York, Rensselaer, New York, United States of America
- Center for Collaborative HIV Research in Practice and Policy, University at Albany School of Public Health, State University of New York, Rensselaer, New York, United States of America
| | - Wendy Patterson
- New York State Department of Health, Albany, New York, United States of America
| | | | - Charles Gonzalez
- New York State Department of Health, Albany, New York, United States of America
- Center for Collaborative HIV Research in Practice and Policy, University at Albany School of Public Health, State University of New York, Rensselaer, New York, United States of America
| | - Jack DeHovitz
- University at Albany School of Public Health, State University of New York, Rensselaer, New York, United States of America
- Center for Collaborative HIV Research in Practice and Policy, University at Albany School of Public Health, State University of New York, Rensselaer, New York, United States of America
- IPRO, Lake Success, New York, United States of America
- Downstate Health Sciences University, State University of New York, Brooklyn, New York, United States of America
| | - Tomoko Udo
- University at Albany School of Public Health, State University of New York, Rensselaer, New York, United States of America
- Center for Collaborative HIV Research in Practice and Policy, University at Albany School of Public Health, State University of New York, Rensselaer, New York, United States of America
| | - Deepa T. Rajulu
- New York State Department of Health, Albany, New York, United States of America
| | - Rachel Hart-Malloy
- New York State Department of Health, Albany, New York, United States of America
- University at Albany School of Public Health, State University of New York, Rensselaer, New York, United States of America
- Center for Collaborative HIV Research in Practice and Policy, University at Albany School of Public Health, State University of New York, Rensselaer, New York, United States of America
| | - James Tesoriero
- New York State Department of Health, Albany, New York, United States of America
- University at Albany School of Public Health, State University of New York, Rensselaer, New York, United States of America
- Center for Collaborative HIV Research in Practice and Policy, University at Albany School of Public Health, State University of New York, Rensselaer, New York, United States of America
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Laurence J. Intersecting Pandemics of Epidemiology, Inequality, Genetics, and Immunology: COVID-19 and AIDS. AIDS Patient Care STDS 2022; 36:169-171. [PMID: 35507324 DOI: 10.1089/apc.2022.29008.com] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Jeffrey Laurence
- Division of Hematology and Medical Oncology, Weill Cornell Medical College, New York, New York, USA
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Characteristics and Outcomes of COVID-19-Related Hospitalization among PLWH. J Clin Med 2022; 11:jcm11061546. [PMID: 35329872 PMCID: PMC8953934 DOI: 10.3390/jcm11061546] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 03/04/2022] [Accepted: 03/08/2022] [Indexed: 02/04/2023] Open
Abstract
Background: There is conflicting evidence for how HIV influences COVID-19 infection. The aim of this study was to compare characteristics at presentation and the clinical outcomes of people living with HIV (PLWH) versus HIV-negative patients (non-PLWH) hospitalized with COVID-19. Methods: Primary endpoint: time until invasive ventilation/death. Secondary endpoints: time until ventilation/death, time until symptoms resolution. Results: A total of 1647 hospitalized patients were included (43 (2.6%) PLWH, 1604 non-PLWH). PLWH were younger (55 vs. 61 years) and less likely to be with PaO2/FiO2 < 300 mmHg compared with non-PLWH. Among PLWH, nadir of CD4 was 185 (75−322) cells/μL; CD4 at COVID-19 diagnosis was 272 cells/μL (127−468) and 77% of these were virologically suppressed. The cumulative probability of invasive mechanical ventilation/death at day 15 was 4.7% (95%CI 1.2−17.3) in PLWH versus 18.9% (16.9−21.1) in non-PLWH (p = 0.023). The cumulative probability of non-invasive/invasive ventilation/death at day 15 was 20.9% (11.5−36.4) in PLWH versus 37.6% (35.1−40.2) in non-PLWH (p = 0.044). The adjusted hazard ratio (aHR) of invasive mechanical ventilation/death of PLWH was 0.49 (95% CI 0.12−1.96, p = 0.310) versus non-PLWH; similarly, aHR of non-invasive/invasive ventilation/death of PLWH was 1.03 (95% CI 0.53−2.00, p = 0.926). Conclusion: A less-severe presentation of COVID-19 at hospitalization was observed in PLWH compared to non-PLWH; no difference in clinical outcomes could be detected.
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