Survival Analysis of Low-Birth-Weight Neonates in NICU At Dr. Wahidin Sudirohusodo Hospital Makassar, Indonesia
DOI:
https://doi.org/10.55489/njcm.150520243748Keywords:
neonatal, maternal, Low birth weight, Survival analysisAbstract
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.
References
The United Nation. The 17 Goals Sustainable Development. Health and population. Available at: https://sdgs.un.org/topics/health-and-population#. Accessed June 2nd,2023.
UNICEF. The neonatal period is the most vulnerable time for a child. Available at: https://data.unicef.org/topic/child-survival/neonatal-mortality/. Accessed June 25th,2023.
South Sulawesi Health Office. Health Profile of South Sulawesi Province in 2021. Makassar: South Sulawesi Health Office ;2022
WHO. Neonatal Mortality Rate (per 1000 Live Births). Available at: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/neonatal-mortality-rate-(per-1000-live-births). Accessed June 6th 2023.
South Sulawesi Health Office. Health Office. Neonatal Mortality Rates Data from South Sulawesi Health Office. Makassar: South Sula-wesi Health Office; 2023.
Makassar Health Office. Neonatal Mortality Rates Data from Makassar Health Office. Makassar: Makassar Health Office; 2023.
Limaso AA, Dangisso MH, Hibstu, DT. Neonatal survival and determinants of mortality in Aroresa district, Southern Ethiopia: a pro-spective cohort study. BMC Pediatric.2020; 20:33. Doi: https://doi.org/10.1186/s12887-019-1907-7 PMid:31987037 PMCid:PMC6983969
Woellie TA, Kibret GT, Workie HM, et al. Survival Status and Predictors of Mortality Among Low-Birth-Weight Neonates Admitted to the Neonatal Intensive Care Unit at Felege Hiwot Comprehensive Specialized Hospital, Bahir Dar. Pediatric Health Med Ther. 2021;12:451-466. Doi: https://doi.org/10.2147/PHMT.S323526 PMid:34512075 PMCid:PMC8427078
Debere MK, Mariam DH, Ali A, et al. Survival status and predictors of mortality among low-birthweight neonates admitted to KMC units of five public hospitals in Ethiopia: Frailty survival regression model. PLoS One.2022;17(11):1-23. Doi: https://doi.org/10.1371/journal.pone.0276291 PMid:36355701 PMCid:PMC9648734
Jolly M, Sebire N, Harris J, Robinson S, et al. The risks associated with pregnancy in women aged 35 years or older. Hum Reprod. 2000;15(11):2433-2437. Doi: https://doi.org/10.1093/humrep/15.11.2433 PMid:11056148
Wulandari RD, Laksono AD. Is Parity a Predictor of Neonatal Death in Indonesia? Analysis of the 2017 Indonesia Demographic and Health Survey. Indian Journal of Forensic Medicine and Toxicology. 2020;14(3):2186-2191. Doi: https://doi.org/10.37506/ijfmt.v14i3.10752
Menalu MM, Gebremichael B, Desta KW. Time to death and its predictors among neonates who were admitted to the neonatal inten-sive care unit at tertiary hospital, Addis Ababa, Ethiopia: Retrospective follow up study. Frontiers in Pediatrics. 2022;10:913583. Doi: https://doi.org/10.3389/fped.2022.913583 PMid:36120647 PMCid:PMC9476827
Adem A, Dache A, Dona, A. Determinants of neonatal mortality among newborns admitted in neonatal intensive care unit at Dilla University Referral Hospital in Gedeo Zone, Southern, Ethiopia: unmatched case control study. BMC Pediatrics. 2021;21:307. Doi: https://doi.org/10.1186/s12887-021-02780-3 PMid:34238264 PMCid:PMC8265069
Ahmed MAA, Mahgoub HM, Nafeesah AA, et al. Neonatal Mortality and Associated Factors in the Neonatal Intensive Care Unit of Gadarif Hospital, Eastern Sudan. Children. 2022; 9(11):1725. Doi: https://doi.org/10.3390/children9111725 PMid:36360453 PMCid:PMC9688988
MSD Manual Profession Version: Postterm Newborns. Available at. https://www.msdmanuals.com/professional/pediatrics/perinatal-problems/postterm-infants. Accessed Feb 20th,2024.
Tessema ZT, Tesema GA. Incidence of neonatal mortality and its predictors among live births in Ethiopia: Gompertz gamma shared frailty model. Italian Journal of Pediatrics. 2020;46(1):138. Doi: https://doi.org/10.1186/s13052-020-00893-6 PMid:32958080 PMCid:PMC7507277
Orsido TT, Asseffa NA, Berheto TM. Predictors of Neonatal mortality in Neonatal intensive care unit at referral Hospital in Southern Ethiopia: a retrospective cohort study. BMC Pregnancy and Childbirth. 2019;19(1):83. Doi: https://doi.org/10.1186/s12884-019-2227-5 PMid:30819143 PMCid:PMC6396455
Tolossa T, Wakuma B, Mengist B, et al. Survival status and predictors of neonatal mortality among neonates admitted to Neonatal Intensive care Unit (NICU) of Wollega University referral hospital (WURH) and Nekemte Specialized hospital, Western Ethiopia: A prospective cohort study. PLoS One. 2022;17(7):e0268744. Doi: https://doi.org/10.1371/journal.pone.0268744 PMid:35905094 PMCid:PMC9337704
Berhanu B, Oljira L, Demana M. Survival dan Predictors of Mortality Among Neonatus Admitted to Neonatal Intensive Care Unit at Bombe Primary Hospital, Southern Ethiopia:Institution-Based Restrospective Cohort Study. Pediatric Health Med Ther. 2021;12:239-249. Doi: https://doi.org/10.2147/PHMT.S303158 PMid:34040481 PMCid:PMC8140944
Nurfirdaus Y, Bassey PEM. Sociodemographic Factor Relationship with Infant Survival in Indonesia. Journal of Biometrics and Pop-ulation. 2021;10(1):11-17. Doi: https://doi.org/10.20473/jbk.v10i1.2021.11-17
Asif MF, Pervaiz Z, Afridi JR, et al. Socio economic determinants of child mortality in Pakistan and the moderating role of house-hold' s wealth index. BMC Pediatrics. 2022;22(3):1-8. Doi: https://doi.org/10.1186/s12887-021-03076-2 PMid:34980031 PMCid:PMC8722329
Amoah A, Kumi M. Heliyon. Child survival: the role of a mother' s education', Heliyon. 2022;8(11):e11403. Doi: https://doi.org/10.1016/j.heliyon.2022.e11403 PMid:36406711 PMCid:PMC9668681
Alebel A, Wagnew F, Petrucka P. et al. Neonatal mortality in the neonatal intensive care unit of Debre Markos referral hospital , Northwest Ethiopia : a prospective cohort study. BMC Pediatric. 2020;20(72):1-11. Doi: https://doi.org/10.1016/j.heliyon.2022.e11403 PMid:36406711 PMCid:PMC9668681
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