Clinical Significance of Elevated KSHV Viral Load in HIV-Related Kaposi's Sarcoma Patients in South Africa.
Rebecca Monica TibenderanaMelissa Jayne BlumenthalEmmanuel BukajumbeGeorgia SchäferZainab MohamedPublished in: Viruses (2024)
Kaposi's sarcoma (KS) is an AIDS-defining illness caused by Kaposi's sarcoma-associated herpesvirus (KSHV) predominantly in the context of HIV-related immune suppression. We aimed to explore the usefulness of KSHV DNA viral load (VL) measurement in predicting the severity, response to treatment and outcome of KS. We retrospectively assessed a cohort of KS patients ( n = 94) receiving treatment at Groote Schuur Hospital, Cape Town, South Africa. Demographic and clinical data, KS staging and response to treatment were extracted from patient files, while long-term survival was ascertained from hospital records. KSHV serology and VL and hIL-6 were determined empirically from patients' blood. All patients were HIV-positive adults, the majority of whom were on HAART at the time of recruitment. KSHV VL was detectable in 65 patients' blood (median: 280.5/10 6 cells (IQR: 69.7-1727.3)) and was highest in patients with S1 HIV-related systemic disease (median 1066.9/10 6 cells, IQR: 70.5-11,269.6). KSHV VL was associated with the S1 stage in a binomial regression controlling for confounders (adjusted odds ratio 5.55, 95% CI: 1.28-24.14, p = 0.022). A subset of six patients identified to have extremely high KSHV VLs was predominantly T 1 stage with pulmonary KS, and most had died at follow-up. In our cohort, elevated KSHV VL is associated with systemic HIV-related illness in KS disease. Extremely high KSHV VLs warrant further investigation for patients potentially requiring intensive treatment and investigation for progression or diagnosis of concurrent KSHV lytic syndromes.
Keyphrases
- end stage renal disease
- hiv positive
- south africa
- ejection fraction
- chronic kidney disease
- newly diagnosed
- peritoneal dialysis
- prognostic factors
- antiretroviral therapy
- squamous cell carcinoma
- hepatitis c virus
- emergency department
- healthcare
- machine learning
- human immunodeficiency virus
- patient reported outcomes
- artificial intelligence
- deep learning
- cell death
- cell cycle arrest
- cell free