How to cite this article: Razak F, Amiruddin R, Ansariadi, Zulkifli A, Moedjiono AI, Hasan N, Nurmala DR. Survival Analy- sis of Low-Birth-Weight Neonates in NICU at a Tertiary Care Hospital in Makassar, Indonesia. Natl J Community Med 2024;15(5):340-346. DOI: 10.55489/njcm.50520243748 Copy Right: The Authors retain the copyrights of this article, with first publication rights granted to Medsci Publications. This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-Share Alike (CC BY-SA) 4.0 License, which allows others to remix, adapt, and build upon the work commercially, as long as appropriate credit is given, and the new creations are licensed under the identical terms. www.njcmindia.com│pISSN: 0976-3325│eISSN: 2229-6816│Published by Medsci Publications @2024 National Journal of Community Medicine│Volume 15│Issue 05│May 2024 Page 340 ORIGINAL RESEARCH ARTICLE Survival Analysis of Low-Birth-Weight Neonates in NICU at a Tertiary Care Hospital in Makassar, Indonesia Fajriana Razak 1* , Ridwan Amiruddin 2 , Ansariadi 3 , Andi Zulkifli 4 , Apik Indarty Moedjiono 5 , Nurzakiah Hasan 6 , Dewi Rizki Nurmala 7 1-6 Hasanuddin University, Makassar, Indonesia 7 Dr. Wahidin Sudirohusodo Hospital, Makassar, Indonesia DOI: 10.55489/njcm.50520243748 A B S T R A C T Background: Currently, children face the highest risk of death during the neonatal phase. UNICEF data shows that in 2022, globally, approximately 2.3 million children died in the first month of life, accounting for about 6,400 neonatal deaths per day. The aim is determining the survival proportion of neonates, hazard ratios, and maternal factors influencing the survival of low-birth-weight neonates. Methodology: A retrospective cohort study design using secondary data from 183 medical records of low- birth-weight neonates from 2020 to 2022. Kaplan-Meier analysis and life table were used to observe the time frame and survival proportion, as well as differences among independent variable groups. Cox regression analysis was conducted to estimate hazard ratios and the influence of independent variables. Results: Gestational age (p=0.028, HR=2.7948, CI 95% = 1.1197-6.9757), ANC visits (p=0.000, HR=2.7057, CI 95% = 1.6320-4.4857), and maternal employment status (p=0.023, HR=2.6546, CI 95% = 1.1430-6.1651) are statistically significant variables that influence the survival of low-birth-weight neonates. Conclusions: The survival proportion of low-birth-weight neonates is 60.80%. Gestational age, ANC visits, and maternal employment status significantly contribute to the survival of low-birth-weight neonates. Key-words: Neonatal, Low birth weight, Survival analysis A R T I C L E I N F O Financial Support: None declared Conflict of Interest: None declared Received: 22-01-2024, Accepted: 26-03-2024, Published: 01-05-2024 *Correspondence: Fajriana Razak (Email: fajrianarazak@gmail.com)