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Liu X, Wang Y, Yang Z, Wu Z, Li J, Tong Z, Li X, Ren F, Zhu X, Jin M, Mao G. Analysis of the immunological response to antiviral therapy in patients with different subtypes of HIV/AIDS: a retrospective cohort study. BMJ Open 2024; 14:e072597. [PMID: 38749684 PMCID: PMC11097878 DOI: 10.1136/bmjopen-2023-072597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 04/26/2024] [Indexed: 05/18/2024] Open
Abstract
OBJECTIVE To evaluate the effectiveness of standardised antiretroviral therapy (ART) among different HIV subtypes in people living with HIV/AIDS (PLWHA), and to screen the best ART regimen for this patient population. DESIGN A retrospective cohort study was performed, and PLWHA residing in Huzhou, China, between 2018 and 2020, were enrolled. SETTING AND PARTICIPANTS Data from 625 patients, who were newly diagnosed with HIV/AIDS in the AIDS Prevention and Control Information System in Huzhou between 2018 and 2020, were reviewed. ANALYSIS AND OUTCOME MEASURES Data regarding demographic characteristics and laboratory investigation results were collected. Immune system recovery was used to assess the effectiveness of ART, and an increased percentage of CD4+ T lymphocyte counts >30% after receiving ART for >1 year was determined as immunopositive. A multiple logistic regression model was used to comprehensively quantify the association between PLWHA immunological response status and virus subtype. In addition, the joint association between different subtypes and treatment regimens on immunological response status was investigated. RESULTS Among 326 enrolled PLWHA with circulating recombinant forms (CRFs) CRF01_AE, CRF07_BC and other HIV/AIDS subtypes, the percentages of immunopositivity were 74.0%, 65.6% and 69.6%, respectively. According to multivariate logistic regression models, there was no difference in the immunological response between patients with CRF01_AE, CRF07_BC and other subtypes of HIV/AIDS who underwent ART (CRF07_BC: adjusted OR (aOR) (95% CI) = 0.8 (0.4 to 1.4); other subtypes: aOR (95% CI) = 1.2 (0.6 to 2.3)). There was no evidence of an obvious joint association between HIV subtypes and ART regimens on immunological response. CONCLUSIONS Standardised ART was beneficial to all PLWHA, regardless of HIV subtypes, although it was more effective, to some extent, in PLWHA with CRF01_AE.
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Affiliation(s)
- Xiaoqi Liu
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
| | - Yanan Wang
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
- Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
- Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhongrong Yang
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
| | - Zhenqian Wu
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
| | - Jing Li
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
| | - Zhaowei Tong
- Huzhou Central Hospital, Huzhou, Zhejiang, China
| | - Xiaofeng Li
- Huzhou Central Hospital, Huzhou, Zhejiang, China
| | - Feilin Ren
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
| | - Xiaojuan Zhu
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
| | - Meihua Jin
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
| | - Guangyun Mao
- Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
- Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
- National Clinical Research Center for Ocular Diseases, Wenzhou, Zhejiang, China
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Scriven YA, Mulinge MM, Saleri N, Luvai EA, Nyachieo A, Maina EN, Mwau M. Prevalence and factors associated with HIV-1 drug resistance mutations in treatment-experienced patients in Nairobi, Kenya: A cross-sectional study. Medicine (Baltimore) 2021; 100:e27460. [PMID: 34622871 PMCID: PMC8500620 DOI: 10.1097/md.0000000000027460] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 09/20/2021] [Indexed: 01/05/2023] Open
Abstract
ABSTRACT An estimated 1.5 million Kenyans are HIV-seropositive, with 1.1 million on antiretroviral therapy (ART), with the majority of them unaware of their drug resistance status. In this study, we assessed the prevalence of drug resistance to nucleoside reverse transcriptase inhibitors (NRTIs), nucleoside reverse transcriptase inhibitors (NNRTIs), and protease inhibitors, and the variables associated with drug resistance in patients failing treatment in Nairobi, Kenya.This cross-sectional study utilized 128 HIV-positive plasma samples obtained from patients enrolled for routine viral monitoring in Nairobi clinics between 2015 and 2017. The primary outcome was human immunodeficiency virus type 1 (HIV-1) drug resistance mutation counts determined by Sanger sequencing of the polymerase (pol) gene followed by interpretation using Stanford's HIV Drug Resistance Database. Poisson regression was used to determine the effects of sex, viral load, age, HIV-subtype, treatment duration, and ART-regimen on the primary outcome.HIV-1 drug resistance mutations were found in 82.3% of the subjects, with 15.3% of subjects having triple-class ART resistance and 45.2% having dual-class resistance. NRTI primary mutations M184 V/I and K65R/E/N were found in 28.8% and 8.9% of subjects respectively, while NNRTI primary mutations K103N/S, G190A, and Y181C were found in 21.0%, 14.6%, and 10.9% of subjects. We found statistically significant evidence (P = .013) that the association between treatment duration and drug resistance mutations differed by sex. An increase of one natural-log transformed viral load unit was associated with 11% increase in drug resistance mutation counts (incidence rate ratio [IRR] 1.11; 95% CI 1.06-1.16; P < .001) after adjusting for age, HIV-1 subtype, and the sex-treatment duration interaction. Subjects who had been on treatment for 31 to 60 months had 63% higher resistance mutation counts (IRR 1.63; 95% CI 1.12-2.43; P = .013) compared to the reference group (<30 months). Similarly, patients on ART for 61 to 90 months were associated with 133% higher mutation counts than the reference group (IRR 2.33; 95% CI 1.59-3.49; P < .001). HIV-1 subtype, age, or ART-regimen were not associated with resistance mutation counts.Drug resistance mutations were found in alarmingly high numbers, and they were associated with viral load and treatment time. This finding emphasizes the importance of targeted resistance monitoring as a tool for addressing the problem.
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Affiliation(s)
- Yvonne A Scriven
- Centre for Infectious and Parasitic Diseases Control Research, Kenya Medical Research Institute, Busia, Kenya
| | - Martin M Mulinge
- Department of Biochemistry, School of Medicine, University of Nairobi, Nairobi, Kenya
- Kenya AIDS Vaccine Initiative - Institute of Clinical Research, University of Nairobi, Nairobi, Kenya
| | - Norah Saleri
- Centre for Infectious and Parasitic Diseases Control Research, Kenya Medical Research Institute, Busia, Kenya
| | - Elizabeth A Luvai
- Centre for Infectious and Parasitic Diseases Control Research, Kenya Medical Research Institute, Busia, Kenya
| | - Atunga Nyachieo
- Department of Biochemistry, School of Medicine, University of Nairobi, Nairobi, Kenya
| | - Esther N Maina
- Department of Biochemistry, School of Medicine, University of Nairobi, Nairobi, Kenya
| | - Matilu Mwau
- Centre for Infectious and Parasitic Diseases Control Research, Kenya Medical Research Institute, Busia, Kenya
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Cao Z, Li J, Chen H, Song C, Shen Z, Zhou X, Lan G, Zhu Q, Liang S, Xing H, Liao L, Feng Y, Shao Y, Ruan Y. Effects of HIV-1 genotype on baseline CD4+ cell count and mortality before and after antiretroviral therapy. Sci Rep 2020; 10:15875. [PMID: 32985559 PMCID: PMC7522205 DOI: 10.1038/s41598-020-72701-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 09/04/2020] [Indexed: 02/07/2023] Open
Abstract
To assess whether human immunodeficiency virus type 1 (HIV-1) genotype influences baseline CD4+ T lymphocyte (CD4+) cell count and mortality of patients. The study was conducted from 2014 to 2019 in Guangxi, China, and included 2845 newly diagnosed HIV patients. We used a median regression model to compare CD4+ cell counts in patients newly diagnosed with different HIV-1 genotypes, and a Cox regression model to analyze the associations between HIV-1 genotypes and mortality before and after antiretroviral treatment (ART). In newly diagnosed HIV patients, the baseline CD4+ cell counts of patients with CRF01_AE were significantly lower than those of patients with CRF07_BC, CRF08_BC, and other genotypes. Compared with CRF01_AE, patients infected with CRF07_BC (hazard ratio, 0.55; 95% CI 0.36–0.85), CRF08_BC (hazard ratio, 0.67; 95% CI 0.52–0.85), or other genotypes (hazard ratio, 0.52; 95% CI 0.29–0.94) had significantly lower mortality rates before ART. There were no significant associations between different HIV-1 genotypes and mortality after ART. HIV-1 genotype significantly influences baseline CD4+ cell count and mortality before ART in newly diagnosed HIV patients. We find no significant difference in the outcome of death after ART in patients with different HIV-1 genotypes.
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Affiliation(s)
- Zhiqiang Cao
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Jianjun Li
- Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning, China
| | - Huanhuan Chen
- Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning, China
| | - Chang Song
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Zhiyong Shen
- Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning, China
| | - Xinjuan Zhou
- Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning, China
| | - Guanghua Lan
- Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning, China
| | - Qiuying Zhu
- Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning, China
| | - Shujia Liang
- Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning, China
| | - Hui Xing
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Lingjie Liao
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Yi Feng
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Yiming Shao
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Yuhua Ruan
- State Key Laboratory of Infectious Disease Prevention and Control (SKLID), National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China.
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Günthard HF, Calvez V, Paredes R, Pillay D, Shafer RW, Wensing AM, Jacobsen DM, Richman DD. Human Immunodeficiency Virus Drug Resistance: 2018 Recommendations of the International Antiviral Society-USA Panel. Clin Infect Dis 2020; 68:177-187. [PMID: 30052811 PMCID: PMC6321850 DOI: 10.1093/cid/ciy463] [Citation(s) in RCA: 134] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Accepted: 05/28/2018] [Indexed: 12/16/2022] Open
Abstract
Background Contemporary antiretroviral therapies (ART) and management strategies have diminished both human immunodeficiency virus (HIV) treatment failure and the acquired resistance to drugs in resource-rich regions, but transmission of drug-resistant viruses has not similarly decreased. In low- and middle-income regions, ART roll-out has improved outcomes, but has resulted in increasing acquired and transmitted resistances. Our objective was to review resistance to ART drugs and methods to detect it, and to provide updated recommendations for testing and monitoring for drug resistance in HIV-infected individuals. Methods A volunteer panel of experts appointed by the International Antiviral (formerly AIDS) Society–USA reviewed relevant peer-reviewed data that were published or presented at scientific conferences. Recommendations were rated according to the strength of the recommendation and quality of the evidence, and reached by full panel consensus. Results Resistance testing remains a cornerstone of ART. It is recommended in newly-diagnosed individuals and in patients in whom ART has failed. Testing for transmitted integrase strand-transfer inhibitor resistance is currently not recommended, but this may change as more resistance emerges with widespread use. Sanger-based and next-generation sequencing approaches are each suited for genotypic testing. Testing for minority variants harboring drug resistance may only be considered if treatments depend on a first-generation nonnucleoside analogue reverse transcriptase inhibitor. Different HIV-1 subtypes do not need special considerations regarding resistance testing. Conclusions Testing for HIV drug resistance in drug-naive individuals and in patients in whom antiretroviral drugs are failing, and the appreciation of the role of testing, are crucial to the prevention and management of failure of ART.
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Affiliation(s)
- Huldrych F Günthard
- University Hospital Zürich and Institute of Medical Virology, University of Zurich, Switzerland
| | - Vincent Calvez
- Pierre et Marie Curie University and Pitié-Salpêtriere Hospital, Paris, France
| | - Roger Paredes
- Infectious Diseases Service and IrsiCaixa AIDS Research Institute, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.,Africa Health Research Institute, KwaZulu Natal, South Africa
| | | | | | | | | | - Douglas D Richman
- Veterans Affairs San Diego Healthcare System and University of California San Diego
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