Association between Perinatal Outcomes and Maternal Risk Factors: A Cohort Study.
Raquel Martin-AlonsoPaula PrietoIrene Fernández BuhigasCristina German-FernandezCristina AramburuVictor PiquerasDiana Cuenca-GomezEmilia FerrerValeria RolleBelén SantacruzMaría Del Mar GilPublished in: Medicina (Kaunas, Lithuania) (2024)
Background and Objectives : The aim of this study was to analyze the association between maternal risk factors, such as age, body mass index (BMI), and cigarette smoking, and perinatal outcomes. Materials and Methods : We conducted a retrospective analysis based on prospectively collected data at Hospital Universitario de Torrejón (Madrid, Spain) between September 2017 and December 2019. All pregnant women with singleton pregnancies and non-malformed live fetuses attending their routine ultrasound examination at 11+0 to 13+6 weeks' gestation were invited to participate. The association between preeclampsia, preterm birth, gestational diabetes mellitus (GDM), small-for-gestational-age (SGA) or fetal-growth-restricted (FGR) neonates, and type of delivery and maternal age, BMI, and cigarette smoking was studied. Logistic mixed models were used to analyze the data. Results : A total of 1921 patients were included in the analysis. Women who were ≥40 years old had a significantly higher risk of having GDM (odds ratio (OR) 1.61, 95% confidence interval (CI) 1.08 to 2.36) and SGA neonates (OR 1.54, 95% CI 1.00 to 2.37). Women with a BMI < 18 had an increased rate of giving birth to SGA and FGR neonates (OR 3.28, 95% CI 1.51 to 7.05, and OR 3.73, 95% CI 1.54 to 8.37, respectively), whereas women with a BMI ≥ 35 had a higher risk of GDM (OR 3.10, 95% CI 1.95 to 4.89). Smoking increased the risk of having SGA and FGR neonates (OR 1.83, 95% CI 1.36 to 2.46, and OR 1.91, 95% CI 1.29 to 2.78). Conclusions : Advanced maternal age, low or high BMI, and smoking status are significant risk factors for pregnancy complications. Both clinicians and society should concentrate their efforts on addressing these factors to enhance reproductive health.
Keyphrases
- gestational age
- birth weight
- preterm birth
- low birth weight
- body mass index
- pregnancy outcomes
- risk factors
- weight gain
- pregnant women
- end stage renal disease
- physical activity
- electronic health record
- big data
- healthcare
- preterm infants
- smoking cessation
- chronic kidney disease
- peritoneal dialysis
- type diabetes
- emergency department
- prognostic factors
- polycystic ovary syndrome
- newly diagnosed
- artificial intelligence
- adipose tissue