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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.
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Patient populations, including those with hematological malignancies, have different responses to COVID-19 vaccines. This study aimed to quantitatively analyze the efficacy and safety of COVID-19 mRNA vaccines in patients with hematological malignancies. Studies reporting on the efficacy and safety of COVID-19 mRNA vaccines in cohorts with hematological malignancies compared to healthy controls were systematically searched in four databases. Meta-analysis and subgroup analyses were performed to generate quantitative synthesis. Fifteen studies with 2,055 cohorts with hematological malignancies and 1,105 healthy subjects as control were included. After two doses of COVID-19 vaccination, only 60% of cohorts with hematological malignancies were seroconverted compared to healthy controls (RR 0.60; 95%CI 0.50-0.71). A single dose of the vaccine resulted in a significantly lower seroconversion rate (RR 0.30; 95%CI 0.16-0.54). Non-Hodgkin lymphoma cohorts had the lowest rate of seroconversion (RR 0.5; 95%CI 0.35-0.71) and those who received active treatments had lower immunological responses (RR 0.59; 95%CI 0.46-0.75). Antibody titers were lower in cohorts with hematological malignancies without any differences in adverse effects in both groups. In conclusion, cohorts with hematological malignancies showed a lower seroconversion rate and antibody titers after receiving COVID-19 mRNA vaccines. The type of malignancy and the status of treatment had a significant impact on the response to vaccination. The vaccines were shown to be safe for both patients with hematological malignancies and healthy controls. Booster doses and stricter health protocols might be beneficial for patient populations.