1
|
Kileel EM, Zheng A, Bor J, Fox MP, Crowther NJ, George JA, Khoza S, Rosen S, Venter WDF, Raal F, Hibberd P, Brennan AT. Does Engagement in HIV Care Affect Screening, Diagnosis, and Control of Noncommunicable Diseases in Sub-Saharan Africa? A Systematic Review and Meta-analysis. AIDS Behav 2024; 28:591-608. [PMID: 38300475 PMCID: PMC10876721 DOI: 10.1007/s10461-023-04248-0] [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: 02/02/2024]
Abstract
Low- and middle-income countries are facing a growing burden of noncommunicable diseases (NCDs). Providing HIV treatment may provide opportunities to increase access to NCD services in under-resourced environments. We conducted a systematic review and meta-analysis to evaluate whether use of antiretroviral therapy (ART) was associated with increased screening, diagnosis, treatment, and control of diabetes, hypertension, chronic kidney disease, or cardiovascular disease among people living with HIV in sub-Saharan Africa (SSA). A comprehensive search of electronic literature databases for studies published between 01 January 2011 and 31 December 2022 yielded 26 studies, describing 13,570 PLWH in SSA, 61% of whom were receiving ART. Random effects models were used to calculate summary odds ratios (ORs) of the risk of diagnosis by ART status and corresponding 95% confidence intervals (95% CIs), where appropriate. ART use was associated with a small but imprecise increase in the odds of diabetes diagnosis (OR 1.07; 95% CI 0.71, 1.60) and an increase in the odds of hypertension diagnosis (OR 2.10, 95% CI 1.42, 3.09). We found minimal data on the association between ART use and screening, treatment, or control of NCDs. Despite a potentially higher NCD risk among PLWH and regional efforts to integrate NCD and HIV care, evidence to support effective care integration models is lacking.
Collapse
Affiliation(s)
- Emma M Kileel
- Department of Global Health, Boston University School of Public Health, Boston, MA, 02118, USA.
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
| | - Amy Zheng
- Department of Global Health, Boston University School of Public Health, Boston, MA, 02118, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Jacob Bor
- Department of Global Health, Boston University School of Public Health, Boston, MA, 02118, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Health Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Matthew P Fox
- Department of Global Health, Boston University School of Public Health, Boston, MA, 02118, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Health Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nigel J Crowther
- Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Jaya A George
- Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Siyabonga Khoza
- Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Sydney Rosen
- Department of Global Health, Boston University School of Public Health, Boston, MA, 02118, USA
- Health Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Willem D F Venter
- Wits Ezintsha, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Public Health Medicine, School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Frederick Raal
- Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Patricia Hibberd
- Department of Global Health, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Alana T Brennan
- Department of Global Health, Boston University School of Public Health, Boston, MA, 02118, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Health Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| |
Collapse
|
2
|
Zhao N, Xiang P, Zeng Z, Liang H, Wang F, Xiao J, Yang D, Wang S, Chen M, Gao G. Prevalence and risk factors for kidney disease among hospitalized PLWH in China. AIDS Res Ther 2023; 20:49. [PMID: 37454082 PMCID: PMC10349439 DOI: 10.1186/s12981-023-00546-8] [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] [Received: 11/13/2022] [Accepted: 07/08/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND Kidney disease is an important comorbidity in people living with HIV(PLWH), and is associated with poor outcomes. However, data on renal function of PLWH are limited in China so far. In this study we assessed the prevalence of kidney disease in patients either on antiretroviral therapy (ART) or not respectively in a single center in China and explored the possible risk factors associated. METHODS In the cross-sectional study, we recruited hospitalized adult PLWH. Demographic characteristics, clinical information and laboratory variables were collected. Kidney disease was defined as estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2, and/or isolated hematuria, proteinuria, microalbuminuria. We calculated the prevalence of kidney disease and used logistic regression to assess its associated risk factors. RESULTS A total of 501 adult PLWH were enrolled, 446 (89.0%) males and 55 (11.0%) females. The median age was 39 (IQR 30-50) years old. The prevalence of kidney disease was 19.0%, 22 (4.4%) patients with eGFR < 60 mL/min/1.73 m2, 53 (10.6%) patients with hematuria, 11 (2.2%) patients with proteinuria, and 40 (8.0%) patients with microalbuminuria. 297 (59.3%) patients were receiving ART. The patients on ART had a higher prevalence of renal disease than those had not been administrated with ART (22.6% vs. 13.7%, P = 0.013). On the multivariate logistic regression analysis among patients not on ART, lower haemoglobin (OR 0.994, 95%CI: 0.902-0.988, P = 0.013) were significantly associated with kidney disease. While among those on ART, older age (OR 1.034, 95%CI: 1.003-1.066, P = 0.032), lower haemoglobin (OR 0.968, 95%CI: 0.948-0.988, P = 0.002) and lower albumin (OR 0.912, 95%CI: 0.834-0.997, P = 0.044) were significantly associated with kidney disease. CONCLUSIONS The prevalence of kidney disease among hospitalized PLWH in China is high, especially in patients on ART. A larger scale study on Chinese outpatient PLWH should be conducted, so as to precisely assess prevalence of kidney disease in general Chinese PLWH.
Collapse
Affiliation(s)
- Naxin Zhao
- Department of Nephrology, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Pan Xiang
- Department of Nephrology, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Zhili Zeng
- Department of Nephrology, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Hongyuan Liang
- Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Fang Wang
- Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Jiang Xiao
- Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Di Yang
- Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Sa Wang
- Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China
| | - Meiling Chen
- Department of Medical Records and Statistics, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Guiju Gao
- Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, China.
| |
Collapse
|