Development and validation of a prenatal predictive nomogram for the risk of NICU admission in infants born to Chinese mothers over 35 years of age: a retrospective cohort study

Background The rising number of women giving birth at advanced maternal age has posed significant challenges in obstetric care in recent years, resulting in increased incidence of neonatal transfer to the Neonatal Intensive Care Unit (NICU). Therefore, identifying fetuses requiring NICU transfer bef...

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Vydané v:BMC pregnancy and childbirth Ročník 24; číslo 1; s. 390 - 10
Hlavní autori: Wei, Yihong, Xu, Shuai, Sun, Wenjuan, Hong, Fanzhen
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London BioMed Central 27.05.2024
Springer Nature B.V
BMC
Predmet:
Adult
Advanced maternal age
Amniotic fluid
Anemia
Body mass index
Cesarean section
Childbirth & labor
China - epidemiology
Diabetes
East Asian People
Families & family life
Female
Fibroids
Gestational age
Gynecology
Hospitals
Humans
Hypertension
Iatrogenesis
Induced labor
Infant, Newborn
Intensive care
Intensive Care Units, Neonatal - statistics & numerical data
Intracranial pressure
Logistic Models
Maternal Age
Maternal and Child Health
Medicine
Medicine & Public Health
Mothers
Neonatal care
Neonatal intensive care unit
Newborn babies
Nomograms
Older parents
Patient Admission - statistics & numerical data
Placenta
Pre-delivery factors
Prediction nomogram
Pregnancy
Pregnancy complications
Premature birth
Premature Birth - epidemiology
Prenatal Diagnosis - methods
Prenatal Diagnosis - statistics & numerical data
Regression analysis
Reproductive Medicine
Respiration
Retrospective cohort study
Retrospective Studies
Risk Assessment - methods
Risk Factors
Surgery
Uterus
Vagina
China
Prediction nomogram
Pre-delivery factors
Neonatal intensive care unit
Retrospective cohort study
Advanced maternal age
ISSN:1471-2393, 1471-2393
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Shrnutí:Background The rising number of women giving birth at advanced maternal age has posed significant challenges in obstetric care in recent years, resulting in increased incidence of neonatal transfer to the Neonatal Intensive Care Unit (NICU). Therefore, identifying fetuses requiring NICU transfer before delivery is essential for guiding targeted preventive measures. Objective This study aims to construct and validate a nomogram for predicting the prenatal risk of NICU admission in neonates born to mothers over 35 years of age. Study design Clinical data of 4218 mothers aged ≥ 35 years who gave birth at the Department of Obstetrics of the Second Hospital of Shandong University between January 1, 2017 and December 31, 2021 were reviewed. Independent predictors were identified by multivariable logistic regression, and a predictive nomogram was subsequently constructed for the risk of neonatal NICU admission. Results Multivariate logistic regression demonstrated that the method of prenatal screening, number of implanted embryos, preterm premature rupture of the membranes, preeclampsia, HELLP syndrome, fetal distress, premature birth, and cause of preterm birth are independent predictors of neonatal NICU admission. Analysis of the nomogram decision curve based on these 8 independent predictors showed that the prediction model has good net benefit and clinical utility. Conclusion The nomogram demonstrates favorable performance in predicting the risk of neonatal NICU transfer after delivery by mothers older than 35 years. The model serves as an accurate and effective tool for clinicians to predict NICU admission in a timely manner.
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ISSN:1471-2393
1471-2393
DOI:10.1186/s12884-024-06582-0