Magnitude of Viral Load Suppression and Associated Factors among HIV-positive Patients Receiving Antiretroviral Therapy.

BACKGROUND: Viral load assessment is the preferred method for diagnosing and confirming virologic failure for patients on antiretroviral therapy. This study aimed to assess the proportion of viral load suppression and identify associated factors among HIV-positive patients receiving antiretroviral therapy at the Pokhara academy of health science in Nepal. METHODS: This institution-based retrospective cohort study was conducted at Pokhara academy of health science in Pokhara, Nepal. The study included 567 HIV patients who were enrolled between January 2016 and December 2019 and had their viral load measured within a one-year period. Statistical analysis was performed using STATA version 13.0. The proportions of viral load suppression and non-suppression were determined. Bivariate and multivariate logistic regressions were performed to identify factors associated with viral load suppression. Statistical significance was determined at a 95% confidence interval and p < 0.05 Results: Out of the 567 HIV patients, 95.76 % (95% CI: 94.10-97.42) achieved viral suppression. In multivariate analysis, longer duration of antiretroviral therapy treatment (> 3 years) was independently associated with higher odds of achieving viral suppression compared to those on antiretroviral therapy for less than 6 months (adjusted odds ratio [aOR] = 11.98, 95% confidence interval: 1.32-108.81, p < 0.0027). Conversely, individuals in second-line treatment had significantly lower odds of viral suppression compared to those in first-line treatment (aOR = 0.19, 95% CI: 0.05-0.66, p < 0.009). CONCLUSIONS: Our study demonstrated a high rate of viral suppression among HIV patients receiving antiretroviral therapy, exceeding the UNAIDS 90-90-90 target. Longer duration of antiretroviral therapy and being in second-line treatment were identified as factors influencing viral load suppression. These findings emphasize the importance of early initiation and adherence to first-line treatment for optimal outcomes.

Clinical Characteristics and outcome analysis of SARS-CoV-2 patients admitted to different Critical Care Units in Nepal.

BACKGROUND: The clinical presentation, biochemical characteristics, and outcomes of patients infected with SARS-CoV-2 can vary in different populations. The purpose of the study is to assess the clinical presentation and identify predictors of mortality among patients with severe acute respiratory distress syndrome admitted to different critical care units in Nepal. METHODS: An observational study was conducted among the confirmed SARS-CoV-2 patients admitted to different critical care units in seven provinces of Nepal. Retrospective data was collected for the period of three months (April 14, 2021 to July 15, 2021) in relation to the peak of the second wave of COVID-19 pandemic in Nepal. Clinical, biochemical and mortality data were collected from the admitted patients of different critical care units. Univariate logistic regression analysis was done among the selected variables at 5% significance. Final predictor variables were identified after multiple regression analysis. RESULTS: Out of total of 646 patients admitted to critical care units of different provinces of Nepal, there was a male predominance 420 (65%). A total of 232(35.91 %) patients were non-survivors with the majority of mortality occurring in patients > 50 years of age. Cough (72.3 %), shortness of breath (70.9%) and fever (56 %) were the most common presenting clinical features. Increasing age, presence of comorbidity, critical COVID-19 cases, respiratory rate, temperature, serum urea and alanine aminotransferase were identified as predictors of mortality after multiple regression analysis. CONCLUSIONS: Approximately 36 % of the confirmed SARS-CoV-2 patient admitted to critical care units did not survive. There was a male preponderance with most casualties occurring in patients more than 50 years of age. Cough, shortness of breath and fever were the most common presenting features. After multiple regression analysis of the identified clinical and biochemical factors, age, presence of comorbidity, respiratory rate, temperature, severity grade as per the World Health Organization classification, serum urea and alanine aminotransferase were identified as the predictors of mortality.