Prevalence and Impact of HIV Infections in Patients with Rheumatic Heart Disease: A Systematic Review and Meta-Analysis.
Evelyn N LumngwenaDipolelo MokailaOlukayode AremuPatrick D M C KatotoJonathan BlackburnPeter ZillaCharles Shey WiysongeNtobeko NtusiPublished in: Global heart (2023)
Socioeconomic factors such as poor health and poor nutrition in low- and middle-income countries (LMICs) may favour inflammatory reactions, thus contributing to the recurrence of rheumatic fever (RF) and thereby modifying trends in rheumatic heart disease (RHD). Apart from epidemiological studies, studies of HIV infections in RHD patients are limited. This systematic review synthesises data on the prevalence and impact of HIV infections or AIDS on RHD from PubMed, Scopus, Web of Science databases up to April 2021. The outcomes were managed using PRISMA guidelines. Of a total of 15 studies found, 10 were eligible for meta-analyses. Meta-analysis found that 17% (95 % CI 8-33, I 2 = 91%) of adults in cardiovascular disease (CVD) cohorts in Southern Africa are HIV positive. The proportion of RHD diagnosed among people living with HIV was 4% (95% CI 2-8, I 2 = 79%) for adults but lower [2% (95% CI 1-4, I 2 = 87%)] among perinatally infected children. Despite limited reporting, HIV-infected patients with RHD are prone to other infections that may enhance cardiac complications due to poor immunological control. PROSPERO registration number: CRD42021237046.
Keyphrases
- antiretroviral therapy
- meta analyses
- hiv infected
- hiv positive
- systematic review
- human immunodeficiency virus
- hiv aids
- rheumatoid arthritis
- case control
- men who have sex with men
- cardiovascular disease
- risk factors
- south africa
- randomized controlled trial
- public health
- end stage renal disease
- healthcare
- hiv testing
- mental health
- type diabetes
- ejection fraction
- oxidative stress
- left ventricular
- big data
- young adults
- newly diagnosed
- hepatitis c virus
- peritoneal dialysis
- machine learning
- metabolic syndrome
- cardiovascular risk factors
- skeletal muscle
- heart failure
- drug induced
- human health
- deep learning