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All Journal Indonesian Journal of Cardiology Indonesian Journal of Clinical Pathology and Medical Laboratory (IJCPML)
Banun, Syahri
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Biochemistry, Genetics & Molecular Biology Health Professions Medicine & Pharmacology Neuroscience

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Cycle Threshold Value as A Death Predictor of COVID-19 Patients Oktariana, Desi; Saleh, Irsan; Banun, Syahri; Rahadiyanto, Kemas Ya’kub; Liana, Phey; Rahmawati, Eny; Hafizzanovian, Hafizzanovian; Lusiana, Evi; Tamzil, Nia Savitri; Prasasty, Gita Dwi; Aseptianova, Aseptianova
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol. 31 No. 3 (2025)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v31i3.2390

Abstract

For several years, COVID-19 has been a major problem in human health and also caused a global socio-economic crisis. However, the impact of viral load on patient mortality has not been thoroughly investigated. This study analyzes the association between CT value and the mortality of COVID-19 patients in inpatients at Mohammad Hoesin Hospital. This study used observational analysis with a longitudinal retrospective design. This study had 280 subjects. Fifty-four of the 280 patients died (19.3%) 33% had a CT <22.93; 16.7% had a CT 22.93-29.93; 31.5% had a CT 29.94-34.9, 18.5% had a CT >35 with p-value >0.05 for patient mortality. Analysis of age, comorbidities, and clinical severity of patient mortality showed a p-value <0.05. Meanwhile, gender analysis of patient mortality showed a p-value >0.05. These results indicate that the CT value cannot predict patient mortality. Patients with older age, comorbidities, and admission with severe clinical severity have a higher risk of death.
Predictive Value of Bazett-Corrected QTc for Chemotherapy-Induced Cardiotoxicity in Breast Cancer: A Retrospective Cohort Study Lerista, Maria; Soniya, Firinda; Salsabila, Zeta Reihan; Putra, Justian Ananda; Agustine, Vania; Banun, Syahri; Felani, Muhammad Rizky; Puspita, Indah; Tondas, Alexander Edo
Jurnal Kardiologi Indonesia Online First
Publisher : The Indonesian Heart Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30701/ijc.1896

Abstract

Background : Cardiotoxicity remains a major concern in breast cancer patients receiving anthracycline-based chemotherapy. Meanwhile, prolongation of the QTc interval has been associated with an increased risk of torsades de pointes; however, the clinical evidence for its role as a predictor of subclinical cardiotoxicity remains limited. This study aims to evaluate the association between Bazett-corrected QTc and the incidence of subclinical left ventricular dysfunction, as measured by strain echocardiography. Methods : This single-center retrospective cohort study was conducted at Dr. Mohammad Hoesin General Hospital, Indonesia (January 2022–December 2023). Female breast cancer patients aged ≥18 years who received anthracycline or non-anthracycline chemotherapy and completed baseline and third-cycle echocardiography were included. QTc was measured from 12-lead ECGs before and after chemotherapy using Bazett’s formula. Subclinical cardiotoxicity was defined as a >15% relative reduction in global longitudinal strain (GLS) from baseline. Logistic regression and ROC analyses assessed the predictive value of baseline QTcB. Result : In 32 breast cancer patients on anthracycline therapy (mean age 49.5 ± 9.0 years) were analyzed; 59.4% developed subclinical cardiotoxicity. Prolonged baseline QTcB, older age, and obesity were significantly associated with subclinical cardiotoxicity (p < 0.05). In multivariate analysis, QTcB remained an independent predictor (OR = 21.09; 95% CI: 0.979–454.4; p = 0.05). ROC analysis showed moderate discrimination (AUC = 0.717; 95% CI: 0.50–0.92; p = 0.04). Conclusion : Prolonged QTc appears to be a promising predictor of subclinical cardiotoxicity with fair diagnostic accuracy. However, it should be considered alongside other modalities. Further studies with larger populations are needed to control for other risk factors.
Co-Authors Agustine, Vania Alexander Edo Tondas Aseptianova Aseptianova Eny Rahmawati, Eny Evi Lusiana Felani, Muhammad Rizky Gita Dwi Prasasty Hafizzanovian, Hafizzanovian Indah Puspita, Indah Lerista, Maria Muhammad Irsan Saleh Oktariana, Desi Phey Liana Putra, Justian Ananda Rahadiyanto, Kemas Ya’kub Salsabila, Zeta Reihan Soniya, Firinda