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Abstract To explore the high-risk factors of neonatal hypoglycemia, and to establish warning model of neonatal hypoglycemia. Methods: A total of 200 primipara who had hospitalized for delivery were randomly selected as the research objects from January 2019 to December 2020. The differences of the incidence of neonatal hypoglycemia of these primipara with different delivery factors were analyzed. The high-risk factors of the neonatal hypoglycemia were analyzed by multivariate Logistic regression. A nomogram was used to construct the warning model of the neonatal hypoglycemia, and another 20 primiparas during the same period were selected as the verification objects of this warning model. Receiver operating characteristic (ROC) curve was drawn for verifying this model. Results: The incidence of neonatal hypoglycemia of these 200 primipara was 8.0%. The incidence of neonatal hypoglycemia of the primipara with gestational diabetes mellitus (GDM) was significantly higher than that of the primipara without GDM. The incidence of hypoglycemia of premature infants, infants small for gestational age, macrosomia, neonatal hypothermia, or low neonatal birth weight had increased. The risk factors of neonatal hypoglycemia included GDM, preterm birth, small for gestational age, macroia, hypothermia, and low birth weight (all P＜0.05). The warning model of neonatal hypoglycemia was 4.734-3.486 × GDM 3.507× small for gestational age- 4.572 × megalosia -3.510 × hypothermia + 3.924 × preterm infant + 1.504× low birth weight, and the area under the curve, the sensitivity, and the specificity of which for diagnosing neonatal hypoglycemia were 0.800, 87.5%, and 75.0%, respectively. Conclusion: The high-risk factors of neonatal hypoglycemia include GDM, premature infants, infants small for gestational age, hypothermia, and low birth body mass. The warning model has better predictive efficacy for neonatal hypoglycemia.
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