Bachtiar Murtala
Faculty of Medicine, Hasanuddin University, Makassar-Indonesia

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Correlation of Comorbidities and Chest CT Severity Scores in Confirmed COVID-19 Patients: A Retrospective Cross-Sectional Study Asriyani, Sri; Suminto, Silvia; Latief, Nikmatia; Alfian, Andi; Djaharuddin, Irawaty; Murtala, Bachtiar
Bahasa Indonesia Vol 22 No 1 (2023): Damianus Journal of Medicine
Publisher : Atma Jaya Catholic University of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/djm.v22i1.3702

Abstract

Pendahuluan: CT scan toraks berperan penting dalam COVID-19, baik dalam penentuan diagnosis, menentukan tingkat keparahan, dan memandu tatalaksana. Penelitian ini bertujuan untuk mengetahui hubungan komorbiditas dengan tingkat keparahan COVID-19 berdasarkan CT Severity Score (CT SS). Metode: Desain penelitian retrospektif cross-sectional dilakukan pada 192 pasien terkonfirmasi COVID-19 yang memenuhi syarat  dan menjalani CT scan toraks. Analisis karakteristik gambaran CT scan toraks pasien dilakukan pada window paru dan mediastinal. CT SS dilakukan untuk penilaian derajat keparahan COVID-19. Perbedaan proporsi gambaran CT scan berdasarkan komorbiditas diuji dengan chi-square. Hasil: Penyakit komorbid yang paling banyak ditemukan yaitu hipertensi (51 pasien), diabetes mellitus (37 pasien), gagal ginjal kronik (29 pasien), penyakit jantung koroner (14 pasien), keganasan (14 pasien), dan tuberkulosis (5 pasien). Temuan CT scan yang paling sering adalah ground-glass opacities, konsolidasi, crazy paving, dan fibrosis dengan distribusi periferal. Terdapat hubungan yang signifikan antara pasien berusia > 50 tahun, memiliki riwayat komorbiditas, komorbiditas >1, memiliki riwayat diabetes mellitus, hipertensi, dan penyakit jantung koroner dengan CT SS ≥19,5 menunjukkan tingkat penyakit yang lebih berat (p<0,05). Simpulan: Pasien dengan riwayat komorbiditas, komorbiditas >1, berusia >50 tahun, memiliki riwayat diabetes mellitus, hipertensi, dan PJK menunjukkan tingkat penyakit yang lebih berat berdasarkan CT SS.  Kata Kunci: COVID-19, CT scan toraks, CT severity score, komorbiditas.
Diagnostic Performance of PI-RADS v2.1 for Clinically Significant Prostate Cancer in Indonesian Patients Undergoing MRI Fusion Prostate Biopsy Sindunata, Nyoman Aditya; Tarigan, Vera Nevyta; Jorisal, Patricia; Murtala, Bachtiar; Sugiono, Marto; Sungono, Veli
Medicinus Vol. 15 No. 2 (2026): February
Publisher : Fakultas Kedokteran Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/med.v15i2.10777

Abstract

Background: Prostate cancer is the second most common malignancy among men and one of the leading causes of cancer-related death. MRI evaluation using prostate imaging and data system (PI-RADS) v2.1 is widely applied to detect clinically significant prostate cancer (csPCa). However, data on its diagnostic performance in Indonesian population remain limited.   Methods: An analytical observational study with retrospective cross-sectional design was conducted on patients with PI-RADS category 3-5 who underwent MRI fusion prostate biopsy at Siloam Hospitals Kebon Jeruk between 2021 and 2025. Sensitivity, specificity, predictive values, and accuracy of PI-RADS v2.1 were evaluated against histopathological findings. Statistical analyses include Chi-Square and Mann-Whitney U test.   Result: A total of 75 patients were included, with a median age of 71 years (range: 49-84). The csPCa detection rates for each PI-RADS category were 14.29% for PI-RADS 3, 48.28% for PI-RADS 4 and 89.74% for PI-RADS 5. Histopathology confirmed csPCa in 50 patients (66.67%) and non-csPCa or benign lesions in 25 patients. The sensitivity of PI-RADS v2.1 at a cutoff ≥4 was 98% (95% CI 89.35–99.95), specificity 24% (95% CI 9.36–45.13), positive predictive value (PPV) 72.06%, negative predictive value (NPV) 85.71%, and overall accuracy 73.33% (95% CI 61.86–82.89). Bivariate analysis showed that older age, higher PSA, larger lesion size, PSA density ≥0.15 ng/ml2, and PIRADS 4/5 category were significantly associated with csPCa.   Conclusions: PI-RADS v2.1 demonstrates very high sensitivity and good NPV for excluding csPCa but has low specificity, resulting in moderate overall accuracy (73.33%).