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All Journal Mutiara Medika: Jurnal Kedokteran dan Kesehatan Public Health of Indonesia BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Go Infotech: Jurnal Ilmiah STMIK AUB Akuntoteknologi : Jurnal Ilmiah Akuntansi dan Teknologi Pediomaternal Nursing Journal Empowerment : Jurnal Pengabdian Pada Masyarakat Abdi-Dharma Journal of Practical Computer Science (JPCS) Journal of Information System, Technology and Engineering JARI Biosaintifika: Journal of Biology & Biology Education Go Infotech: Jurnal Ilmiah STMIK AUB Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat
Agus Suharto, Agus
Bagian Ilmu Patologi Anatomi, Fakultas Kedokteran dan Ilmu Kesehatan, Universitas Muhammadiyah Yogyakarta
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Pediomaternal Nursing Journal

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Survival analysis of COVID-19 outcomes in pregnant and non-pregnant women: A secondary data study Retnaningsih, Listyana Natalia; Fadlilah, Siti; Suharto, Agus; Widaryanti, Rahayu; Sugimoto, Hiroshi; Arifin, Hidayat
Pediomaternal Nursing Journal Vol. 11 No. 1 (2025): VOLUME 11 NO 1 MARCH 2025
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/pmnj.v11i1.65421

Abstract

Introduction: Pregnant women are a population vulnerable to health problems. The morbidity and mortality of pregnant women with COVID-19 are higher compared with the rest of the population. This study aims to determine the survival rate of pregnant versus non-pregnant women with COVID-19. Methods: The study used a retrospective observational cohort design. Data were collected from Dr Soeradji Tirtonegoro and Penembahan Senopati hospitals on patients treated between March 2020 and June 2022. A total of 923 women diagnosed with COVID-19 were included in the study. Sociodemographic and clinical data on patient characteristics were extracted from medical records. Data analysis was conducted using Kaplan-Meier and Cox regression analyses to estimate survival probability and investigate predictors of death, with a 5% significance level. Results: Among 932 women with COVID-19, 231 deaths occurred. The median survival time for all participants was 30.56 days, while for pregnant women, it was 11.21 days, and for pregnant women with comorbidities, it was 9.68 days. Years of treatment, age, comorbidities, number of comorbidities and pregnancy were associated with survival rate (P-value < 0.001). Consistent results were also obtained for pregnant women’s age and number of comorbidities (P-value < 0.05). Significant differences between pregnant and non-pregnant patients remained after adjustment for year, sex, age and hospital type (P-value < 0.001). Conclusion: Pregnant women with COVID-19 have a higher risk of death compared with non-pregnant women. Keywords: comorbidity; COVID-19, female; pregnant women; survival analysis
Co-Authors Andriansah, Zulfi Aprilyanti, Rina Arifin, Hidayat Arip Kristiyanto Aristyaning Putri, Wahyu Ariyanto Nugroho Astuti, Yoni Fadilah, Muhamad Yudi Fahrudin , Endin Farizy , Salman Hartono, Rahmat Herry Susanto Hoga Saragih Jamhari Jamhari Janamarta, Suhendar Luky Adrianto Marsin, Marsin Rahayu Widaryanti Rahmawati, Iroh Ramadhan, Cahyo Setiadi Retnaningsih, Listyana Natalia Rozali, Christien Safitri, Helen Santi Damayanti Sianggian, Petrus Silaban, Berlin Siti Bahiroh Siti Fadlilah Sugimoto, Hiroshi Sugiyarto Sugiyarto Suhendri Suhendri Wibowo, FX. Pudjo YOSHIHIKO YANO Yusman, Yusman Zein, Afrizal Zuliana Utami, Anisa