Pradipta, Yudi
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Survival Rate of Hepatocellular Carcinoma Patients with Varying Individual Characteristics: A Retrospective Cohort Study Mardhiyah, Imalatul; Masrizal, Masrizal; Pradipta, Yudi; Novirsa, Randy; Soko, Wilson
JIK-JURNAL ILMU KESEHATAN Vol 9, No 2 (2025): JIK-OKTOBER VOLUME 9 NOMOR 2 TAHUN 2025
Publisher : UNIVERSITAS ALIFAH PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33757/jik.v9i2.1408

Abstract

Background: There is a continuous demand for an integrated survival analysis that takes into account clinical biomarkers and socio-demographic factors in Hepatocellular carcinoma (HCC) patients from Southeast Asia. This study figured out the mortality predictors that were independent of HCC patients at a major tertiary referral center in Indonesia.Methods: This retrospective cohort study looked into 123 HCC patients who were admitted to Dr. M. Djamil General Hospital, Padang (2018-2023). These patients were selected by simple random sampling. Survival analysis was conducted using Kaplan-Meier curves, log-rank tests, and multivariate Cox regression.Results: Median survival was 284 days with mortality at 24.4%. Univariate analysis showed that albumin <3.5 g/dL (HR=7.67, p=0.045), AFP ≥20 ng/mL (HR=2.16, p=0.044), age ≥59 years (HR=2.38, p=0.018), and obesity (HR=3.43, p=0.013) were significantly associated factors. Multivariate Cox regression indicated that AFP level was the leading factor (adjusted HR=3.94, 95%CI: 1.67-9.33, p=0.002), followed by age ≥59 years (adjusted HR=3.52, p=0.002) and education (adjusted HR=0.36, p=0.014).Conclusions: AFP level, old age, and education were the independent factors of HCC deaths in Central Sumatra. Besides, the conjunction of clinical and socio-demographic factors may be utilized for prognostic risk stratification to pinpoint the most at-risk groups and hence direct the targeted interventions that are most compatible with resource-limited settings predominately HBV-related HCC.
Variation and Predictors of COVID-19 Mortality in Hospitalized Cases in West Sumatra Province, Indonesia: A Retrospective Observational Study Djafri, Defriman; Putri, Ade Suzana Eka; Pradipta, Yudi
Kesmas Vol. 19, No. 3
Publisher : UI Scholars Hub

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Abstract

During 2020, the year of the COVID-19 pandemic, different Indonesian provinces had different numbers of COVID-19 infections and fatalities, particularly in West Sumatra Province. This study aimed to investigate the variation of confirmed COVID-19 cases and determine predictors of mortality in hospitalized patients across districts in West Sumatra Province. A retrospective observational study was conducted during the COVID-19 pandemic. From March 2020 to June 2021, 46,005 confirmed cases were collected in the province, of which 42,308 were hospitalized and analyzed. Confirmed cases and deaths were compared by geographic location using spatial analysis. The risk predictors of death were estimated using logistic regression. COVID-19 incidence and mortality varied across cities/districts, with less than 1,000 confirmed cases appearing to be the lowest number. A distinct pattern was visible nonetheless when the incidence density of confirmed cases and deaths was higher. Acute respiratory distress syndrome during the COVID-19 treatment had a higher risk of death (OR = 75.2, 95% CI: 25.6–250). The most significant predictors of death in terms of comorbidity were pneumonia, followed by cancer, chronic obstructive pulmonary disease, diabetes, cardiac disease, and hypertension.