Factors Associated with All-Cause 30-Day Mortality in Indonesian Inpatient COVID-19 Patients at Cipto Mangunkusumo National General Hospital.

Introduction: Indonesia, as a developing country, has limited data on the factors associated with 30-day mortality in COVID-19 patients in Indonesia. As a matter of fact, study analyzing factors associated with 30-day mortality of COVID-19 infection in Indonesia has never been conducted. This study aims to fill this gap in the literature by conducting a large-scale analysis of factors associated with 30-day mortality in COVID-19 patients in Indonesia. Method: This study employed a single-center retrospective cohort observational design, and was conducted at Cipto Mangunkusumo National General Hospital between the years 2022 and 2023. Sampling was conducted using the consecutive sampling method. The study included patients aged 18 years and above who had been confirmed to have COVID-19 infection. Survival analysis was conducted using Kaplan-Meier and multivariate Cox regression analysis. Result: Our study included a total of 644 patients, with 120 patients (18.6%) expiring within 30 days. In the multivariate analysis using the backward Wald method, severe COVID-19 (HR: 7.024; 95% CI: 3.971-12.744; p value: <0.0001), moderate COVID-19 infection (HR: 1.660; 95% CI: 1.048-2.629; p value: 0.031), liver cirrhosis (HR: 3.422; 95% CI: 1.208-9.691; p value: 0.021), female sex (HR: 1.738; 95% CI: 1.187-2.545; p value: 0.004), old age (HR: 2.139; 95% CI: 1.279-3.577; p value: 0.004), high leukocyte (HR: 11.502; 95% CI: 1.523-86.874; p value: 0.018), high NLR (HR: 1.720; 95% CI: 1.049-2.819; p value: 0.032), high CRP (HR: 1.906; 95% CI: 1.092-3.329; p value: 0.023), high procalcitonin (HR: 3.281; 95% CI: 1.780-6.049; p value: 0.001), and high creatinine (HR: 1.863; 95% CI: 1.240-2.800; p value: 0.003) were associated with 30-day mortality from COVID-19 infection. Subgroup analysis excluding cancer patients showed that age, D-Dimer, CRP, and PCT were associated with 30-day mortality in COVID-19 patients, while steroid therapy is protective. Conclusions: This study finds that COVID-19 severity, liver cirrhosis, sex, age, leukocyte, NLR, CRP, creatinine, and procalcitonin were associated with COVID-19 mortality within 30 days. These findings underscore the multifactorial nature of COVID-19 infection mortality. It is important, therefore, that patients which exhibit these factors should be treated more aggressively to prevent mortality.

Causes and risk factors of death among people who inject drugs in Indonesia, Ukraine and Vietnam: findings from HPTN 074 randomized trial.

INTRODUCTION: The HIV Prevention Trials Network (HPTN) 074 study demonstrated a positive effect of an integrated systems navigation and psychosocial counseling intervention on HIV treatment initiation, viral suppression, medication assisted treatment (MAT) enrollment, and risk of death among people who inject drugs (PWID). In this sub-study, we analyzed the incidence, causes, and predictors of death among HIV-infected and uninfected participants. METHODS: The HPTN 074 randomized clinical trial was conducted in Indonesia, Ukraine, and Vietnam. HIV-infected PWID with unsuppressed viral load (indexes) were recruited together with at least one of their HIV-negative injection partners. Indexes were randomized in a 1:3 ratio to the intervention or standard of care. RESULTS: The trial enrolled 502 index and 806 partner participants. Overall, 13% (66/502) of indexes and 3% (19/806) of partners died during follow-up (crude mortality rates 10.4 [95% CI 8.1-13.3] and 2.1 [1.3-3.3], respectively). These mortality rates were for indexes nearly 30 times and for partners 6 times higher than expected in a population of the same country, age, and gender (standardized mortality ratios 30.7 [23.7-39.0] and 5.8 [3.5-9.1], respectively). HIV-related causes, including a recent CD4 < 200 cells/µL, accounted for 50% of deaths among indexes. Among partners, medical conditions were the most common cause of death (47%). In the multivariable Cox model, the mortality among indexes was associated with sex (male versus female aHR = 4.2 [1.5-17.9]), CD4 count (≥ 200 versus < 200 cells/µL aHR = 0.3 [0.2-0.5]), depression (moderate-to-severe versus no/mild aHR = 2.6 [1.2-5.0]) and study arm (intervention versus control aHR = 0.4 [0.2-0.9]). Among partners, the study arm of the index remained the only significant predictor (intervention versus control aHR = 0.2 [0.0-0.9]) while controlling for the effect of MAT (never versus ever receiving MAT aHR = 2.4 [0.9-7.4]). CONCLUSIONS: The results confirm that both HIV-infected and uninfected PWID remain at a starkly elevated risk of death compared to general population. Mortality related to HIV and other causes can be significantly reduced by scaling-up ART and MAT. Access to these life-saving treatments can be effectively improved by flexible integrated interventions, such as the one developed and tested in HPTN 074.

Multiple Infection and Human Immunodeficiency Virus Superinfection Among Persons who Inject Drugs in Indonesia and Ukraine.

BACKGROUND: The HIV Prevention Trials Network (HPTN) 074 study evaluated an integrated human immunodeficiency virus (HIV) treatment and prevention strategy among persons who inject drugs (PWID) in Indonesia, Ukraine, and Vietnam. We previously detected multiple HIV infection in 3 of 7 (43%) of seroconverters with 3-8 HIV strains per person. In this report, we analyzed multiple HIV infection and HIV superinfection (SI) in the HPTN 074 cohort. METHODS: We analyzed samples from 70 participants in Indonesia and Ukraine who had viral load >400 copies/mL at enrollment and the final study visit (median follow-up, 2.5 years). HIV was characterized with Sanger sequencing, next-generation sequencing, and phylogenetic analysis. Additional methods were used to characterize a rare case of triple-variant SI. RESULTS: At enrollment, multiple infection was detected in only 3 of 58 (5.2%) participants with env sequence data. SI was detected in only 1 of 70 participants over 172.3 person-years of follow-up (SI incidence, 0.58/100 person-years [95% confidence interval, .015-3.2]). The SI case involved acquisition of 3 HIV strains with rapid selection of a strain with a single pol region cluster. CONCLUSIONS: These data from a large cohort of PWID suggest that intrahost viral selection and other factors may lead to underestimation of the frequency of multiple HIV infection and SI events.

Quality of life of HIV patients and influential factors.

AIM: To identify quality of life in HIV patients and to investigate associated factors. METHODS: A cross-sectional comparative study of HIV patients visiting the outpatient clinic at Cipto Mangunkusumo National Central Hospital and Dharmais Cancer Hospital was conducted between March and June 2003. Subjects were patients willing to fill in the SF-36 questionnaire, and willing to undergo physical examination and laboratory tests. Multivariate analysis was performed to identify the determinant factors that dominantly affect the quality of life in HIV patients. RESULTS: From 107 HIV subjects, we found poor quality of life. The score of HIV patients' quality of life components was as follows: mean physical function 49.2, social function 46.4, limitations due to physical factor 43.2, limitations due to emotional factor 48.8, mental health 50.7, energy 48.8, pain 54.7 and general health 42.7. The mean quality of life score for physical components in HIV patients was 47.45 while the mean quality of life score for mental components was 48.075. Factors that dominantly contribute to the quality of life in HIV patients are, respectively, the presence of opportunistic infection (p=0.001 OR=5.297 CI 1.974-14.218) and ARV therapy for more than 3 months (p=0.048 OR=4.487 CI 1.011-19.908). CONCLUSION: Both physical and mental components in HIV patients demonstrated poor quality of life. Factors that dominantly contribute to the quality of life in HIV patients are, the presence of opportunistic infection and ARV therapy for more than 3 months.