Background

Human immunodeficiency virus (HIV) infection is associated with worse outcomes after stroke, but this association is less well-described in sub-Saharan Africa (SSA). We reviewed literature on stroke among people living with HIV (PLWH) in SSA.

Methods

We systematically reviewed published literature for original clinical stroke studies conducted in SSA that included PLWH. We included studies that reported data on presenting characteristics, risk factors, and/or outcomes after stroke.

Results

Seventeen studies (N = 478) met inclusion criteria. At the time of stroke presentation, PLWH had a median age ranging from 32 to 43 years. Subjects had low CD4 counts (median CD4, 108-225 cells/µl), and most were antiretroviral therapy-naïve. Fever, seizures, and concurrent opportunistic infections were common at presentation. Ischemic stroke accounted for up to 96% of strokes, which were mostly located in the anterior circulation territory. In studies comparing PLWH with HIV-uninfected individuals, PLWH had more frequent coagulopathy, greater stroke severity, (72% versus 36% National Institutes of Health Stroke Scale >13, P = .02), longer hospital length of stay (30.5 versus <10 days), and a higher 30-day mortality rate (23% versus 10.5%, P = .007).

Conclusion

Stroke in PLWH in SSA occurs at a young age, in those with advanced disease, and is associated with worse outcomes than in HIV-uninfected comparators. Stroke in young individuals in the region should prompt HIV testing, and ongoing efforts to promote early antiretroviral therapy initiation might also help decrease stroke incidence, morbidity, and mortality in the region.

Objective

HIV infection is an important stroke risk factor in sub-Saharan Africa.  However, data on stroke risk factors in the era of antiretroviral therapy (ART) are sparse. We aimed to determine if stroke risk factors differed by HIV serostatus in Uganda.

Methods

We conducted a matched cohort study, enrolling persons living with HIV (PWH) with acute stroke, matched by sex and stroke type to HIV uninfected (HIV-) individuals. We collected data on stroke risk factors and fitted logistic regression models for analysis.

Results

We enrolled 262 participants:105 PWH and 157 HIV-. The median ART duration was 5 years, and the median CD4 cell count was 214 cells/uL. PWH with ischemic stroke had higher odds of hypertriglyceridemia (AOR 1.63; 95% CI 1.04, 2.55, p=0.03), alcohol consumption (AOR 2.84; 95% CI 1.32, 6.14, p=0.008), and depression (AOR 5.64; 95%CI 1.32, 24.02, p=0.02) while HIV- persons with ischemic stroke were more likely to be > 55 years of age (AOR 0.43; 95%CI 0.20-0.95, p=0.037), have an irregular heart rhythm (AOR 0.31; 95%CI 0.10-0.98, p=0.047) and report low fruit consumption (AOR 0.39; 95%CI 0.18-0.83, p=0.014).  Among all participants with hemorrhagic stroke (n=78) we found no differences in the prevalence of risk factors between PWH and HIV-.

Conclusions

PWH with ischemic stroke in Uganda present at a younger age, and with a combination of traditional and psychosocial risk factors. By contrast, HIV- persons more commonly present with arrhythmia. A differential approach to stroke prevention might be needed in these populations.

The epidemiology of infectious causes of meningitis in sub-Saharan Africa is not well understood, and a common cause of meningitis in this region, Mycobacterium tuberculosis (TB), is notoriously hard to diagnose. Here we show that integrating cerebrospinal fluid (CSF) metagenomic next-generation sequencing (mNGS) with a host gene expression-based machine learning classifier (MLC) enhances diagnostic accuracy for TB meningitis (TBM) and its mimics. 368 HIV-infected Ugandan adults with subacute meningitis were prospectively enrolled. Total RNA and DNA CSF mNGS libraries were sequenced to identify meningitis pathogens. In parallel, a CSF host transcriptomic MLC to distinguish between TBM and other infections was trained and then evaluated in a blinded fashion on an independent dataset. mNGS identifies an array of infectious TBM mimics (and co-infections), including emerging, treatable, and vaccine-preventable pathogens including Wesselsbron virus, Toxoplasma gondii, Streptococcus pneumoniae, Nocardia brasiliensis, measles virus and cytomegalovirus. By leveraging the specificity of mNGS and the sensitivity of an MLC created from CSF host transcriptomes, the combined assay has high sensitivity (88.9%) and specificity (86.7%) for the detection of TBM and its many mimics. Furthermore, we achieve comparable combined assay performance at sequencing depths more amenable to performing diagnostic mNGS in low resource settings.