Antenatal Risk Scoring Scale for Predication of Low Birth Weight and Its Validity

BACKGROUND: Prediction of low birth weight (LBW) early during pregnancy may prevent LBW by appropriate interventions. AIMS/OBJECTIVE: The aim of the study is to develop an antenatal risk scoring scale for prediction of LBW. SUBJECT AND METHODS: Routine and in-depth information on diet, occupation, and rest was collected from November 1, 2013, to November 13, 2015. A cohort of 1876 and subset of 380 pregnant women attending Krishna Hospital Karad, Maharashtra, India. STATISTICAL ANALYSIS: Multivariate analysis and relative risks (RRs) were found out by SPSS version 16 and tested on a separate set of 251 mothers. RESULTS: The frequency of meals of <4, hard work <6 h of sleep and illiteracy, antenatal morbidity, <10 kg weight gain, <40 kg maternal weight, and anemia during the first trimester were the risk factors identified from subset and cohort, respectively. Based on their RRs, a new scoring system with a total score of 24 and cutoff “12” was identified by using receiver operating characteristics (ROC) curve analysis with 98.6% sensitivity and 41.1% specificity as tested on 251-independent individuals. The second cutoff of “15” score was identified based on the prevalence of LBW in babies of these 251 mothers. CONCLUSIONS: The identification of low-, moderate-, and high-risk of LBW was possible at <12, between 12 and 15, and >15 scores, respectively, with good sensitivity and specificity.