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All Journal Indonesian Journal of Global Health research Narra J
Kunti Wijiarti, Kunti
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Biochemistry, Genetics & Molecular Biology Education Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health

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Biomarkers for predicting COVID-19 mortality: A study at Sulianti Saroso Infectious Disease Hospital, Indonesia Maemun, Siti; Widiantari, Aninda D.; Murtiani, Farida; Herlina, Herlina; Tanjungsari, Dian W.; Wijiarti, Kunti; Pratiwi, Tiara Z.; Matondang, Faisal; Rusli, Adria; Rivaldiansyah, Rivaldiansyah; Tampubolon, Maria L.; Mariana, Nina; Setiawaty, Vivi; Purnama, Tri B.
Narra J Vol. 5 No. 2 (2025): August 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i2.1936

Abstract

The high transmissibility and mortality rates of the COVID-19 pandemic pose significant challenges. Patients can deteriorate rapidly, making it crucial to identify laboratory biomarkers for high-risk individuals. The aim of this study was to evaluate the predictive value of various laboratory parameters, including C-reactive protein (CRP), D-dimer, ferritin, neutrophil-to-lymphocyte ratio (NLR), prothrombin time (PT), and procalcitonin (PCT), in predicting COVID-19 mortality. A retrospective cohort study was conducted at Sulianti Saroso Infectious Disease Hospital, where COVID-19 patients were categorized into survivors and non-survivors. The Mann-Whitney test was used to assess group differences, while receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive performance of each biomarker, with Youden's index (J) determining optimal cut-off values. Kaplan-Meier analysis was used to compare median survival times, and Cox regression assessed hazard rates and the relationship between biomarkers and mortality. A total of 1,598 patients were analyzed, the majority of whom were admitted with oxygen saturation levels >95% and classified as having mild to moderate disease severity. Among them, 216 patients died, resulting in a mortality rate of 13.52%. Significant variations in mortality rates were observed along the survival functions for NLR, ferritin, D-dimer, CRP, and PCT (p<0.001). The survival curves for these biomarkers demonstrated distinct trends across tertiles over time. Among hematological markers, NLR was significantly associated with mortality (p<0.001), with a 1.5–2.2% increased risk per unit increase. Biochemical markers (complete blood count) proved to be more effective than hematological parameters (NLR, ferritin, PT, D-dimer, CRP, PCT) when evaluating individual prognostic performance. Bivariate analysis of CRP, D-dimer, ferritin, NLR, PT, and PCT between survivors and non-survivors showed significant differences. Notably, NLR and PCT were highly relevant for predicting disease prognosis and mortality, with sensitivity and specificity values exceeding 80%.
Factors Related to the Implementation of Patient Safety Anitha, Anitha; Dwisusanti, Oktina; Nuraidah, Nuraidah; Wijiarti, Kunti; Pratiwi, Tiara Zakiyah; Maemun, Siti
Indonesian Journal of Global Health Research Vol 7 No 2 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i2.5293

Abstract

Patient safety is a critical global health issue. Despite solutions from JCI and WHO, 70% of medication errors still occur in many countries, including Indonesia. Objective: To identify factors influencing patient safety implementation by nurses at Sulianti Saroso Infectious Diseases Hospital (SSIDH). Methods: This cross-sectional observational study was conducted at SSIDH in October-November 2024. The population included 150 nurses, midwives, and heads of inpatient wards, selected using purposive sampling. Data were analysed using Kolmogorov-Smirnov, chi-square, and multiple logistic regression (p<0.05). Results: Most respondents were female and held a bachelor’s degree in nursing. Knowledge, attitude, and motivation were not significantly associated with patient safety implementation. Factors significantly influencing patient safety were age, duty room, and tenure (p<0.05). Nurses aged ≥40 years were four times less likely to implement patient safety standards compared to those <40 years (OR=4.04; 95%CI=1.68-9.72). Those working in non-intensive wards were 0.11 times less likely to implement standards (OR=0.11; 95%CI=0.05-0.27). Conclusion: Nurses/midwives should enhance patient safety implementation based on the six patient safety goals. Healthcare providers are encouraged to create programs to support quality improvement and reduce adverse events.
Co-Authors Adria Rusli, Adria Anitha, Anitha Dwisusanti, Oktina Herlina Herlina Maemun, Siti Matondang, Faisal Murtiani, Farida Nina Mariana, Nina Nuraidah Nuraidah, Nuraidah Pratiwi, Tiara Z. Pratiwi, Tiara Zakiyah Purnama, Tri B. Rivaldiansyah, Rivaldiansyah Tampubolon, Maria L. Tanjungsari, Dian W. Vivi Setiawaty Widiantari, Aninda D.