Abstract
Introduction Extremely low birth weight (ELBW) refers to the condition in which an infant is born with a weight of less than one thousand grams (2.2 pounds) at birth. ELBW infants face significant challenges and are at increased risk for various medical complications and developmental issues. ELBW poses unique challenges for infants, families, and healthcare providers. Understanding the causes, consequences, and appropriate management strategies for ELBW is crucial for improving the survival rates of these vulnerable infants. Aim This study aimed to measure the survival rates of ELBW infants in Saudi Arabia and its correlated risk factors. Patients and methods This case-control study was a retrospective chart review analysis of data from King Abdulaziz Medical City (KAMC), a single tertiary care center in Riyadh, Kingdom of Saudi Arabia, and conducted over a four-year period. To estimate the survival rate among all live-birth newborn infants who were born with ELBWs of less than 1000 grams, collected data were tabulated and cleaned in MS Excel, and all data were analyzed using IBM SPSS Statistics for Windows, version 26 (released 2019; IBM Corp., Armonk, New York, United States). Results Two hundred and fifty-six patients were involved. Non-survival rates were 12.9%. In a multivariate regression model, prolonged rupture of membranes (PROM), periventricular leukomalacia (PVL), major intraventricular hemorrhage (IVH), and longer length of stay had increased risks for non-survival, while increasing gestational age, APGAR scores, and cesarean section had decreased risks for non-survival. Survival analysis found that there was a significant mean difference in gestational age (weeks) survival time between normal spontaneous vaginal delivery (NSVD) and cesarean section based on log-rank (Mantel-Cox) (p = 0.008). Conclusion Consistent with the literature, a greater prevalence of ELBW infants survived during hospital stay. Independent risk factors for non-survival include PROM, PVL, major IVH, and long length of stay. Cesarean section, increasing gestational, and APGAR scores were identified as the independent predictors of survival. Prospective studies in nature are required to determine these factors' cause and effect.