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All Journal Jurnal Reka Lingkungan Narra J
Rivaldiansyah, Rivaldiansyah
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Biochemistry, Genetics & Molecular Biology Environmental Science Health Professions Immunology & microbiology Medicine & Pharmacology 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%.
KUALITAS AIR LIMBAH RSPI SULIANTI SAROSO Tiardjiono, Mulya; Nurlaela, Nurlaela; Setyawati, Fajar Dwi; Nurhenifah, Eka Erlis; Anggraeni, Yeyen; Wijiarti, Kunti; Pratiwi, Tiara Zakiyah; Rivaldiansyah, Rivaldiansyah; Maemun, Siti
Jurnal Reka Lingkungan Vol 13, No 2 (2025)
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekalingkungan.v13i2.177-192

Abstract

Rumah sakit memiliki peran penting dalam merawat pasien sakit. Namun  rumah sakit juga mempunyai kewajiban untuk memelihara lingkungan sekitar dari pencemaran limbah yang dihasilkan.  Penelitian ini merupakan studi kuantitatif yang bersifat deskriptif, bertujuan untuk menganalisis kualitas air limbah di RSPI Sulianti Saroso berdasarkan parameter pH, BOD, COD, zat padat tersuspensi (TSS), minyak dan lemak, amoniak, total koliform, zat organik (KmNO4), serta senyawa akibat biru metilen (MBAS) dari tahun 2022 sampai dengan 2024. Pengambilan sampel dilakukan di outlet Instalasi Pengolahan Air Limbah (IPAL) rumah sakit, dengan analisis yang dilakukan oleh Laboratorium Kesehatan Lingkungan Jakarta dan PT Unilab Perdana. Parameter yang diuji meliputi pH, Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Suspended Solids (TSS), minyak dan lemak, amonia, total koliform, zat organik (KmNO4), dan senyawa aktif biru metilen (MBAS). Penelitian ini menggunakan data sekunder dari Instalasi K3 dan Kesling. Pengolahan data dilakukan secara deskriptif dengan microsoft excel, ditampilkan dalam bentuk tabular, teks, atau gambar dengan analisis rerata, deviasi baku, median, frekuensi, dan persentase. Hasil penelitian ini menunjukkan bahwa semua parameter yang diuji berada dalam batas baku mutu yang ditetapkan. Sehingga pengelolaan air limbah berlangsung sesuai prosedur dan hasilnya efektif. Namun, pemantauan terus-menerus dan optimalisasi sistem pengolahan direkomendasikan untuk menjaga kepatuhan dan meningkatkan kualitas air limbah lebih lanjut.
Co-Authors Adria Rusli, Adria Anggraeni, Yeyen Herlina Herlina Kunti Wijiarti, Kunti Maemun, Siti Matondang, Faisal Murtiani, Farida Nina Mariana, Nina Nurhenifah, Eka Erlis NURLAELA NURLAELA Pratiwi, Tiara Z. Pratiwi, Tiara Zakiyah Purnama, Tri B. Setyawati, Fajar Dwi Tampubolon, Maria L. Tanjungsari, Dian W. Tiardjiono, Mulya Vivi Setiawaty Widiantari, Aninda D.