Obesity during Pregnancy and SARS-CoV-2/COVID-19-Case Series of the Registry Study "COVID-19 Related Obstetric and Neonatal Outcome Study" (CRONOS-Network).
Friederike WeschenfelderJanine ZöllkauAnna SchoheUlrich PecksTanja GrotenUte Schaefer-Grafnull On Behalf Of Cronos-NetworkPublished in: Journal of clinical medicine (2023)
(1) Background: Obesity is an increasing challenge in the care of pregnant women. The aim of our study was to investigate whether obesity is an independent risk factor for severe maternal and neonatal outcomes in pregnant women with COVID-19. (2) Methods: Data from the COVID-19 Related Obstetric and Neonatal Outcome Study (CRONOS), a prospective multicenter registry for SARS-CoV-2 positive pregnant women, was used to analyze the effect of obesity on selected individual and combined outcome parameters (3) Results: With 20.1%, the prevalence of obesity in the CRONOS registry exceeds the German background rate of 17.5%. Obese women showed significantly higher rates of GDM (20.4% vs. 7.6%; p < 0.001), hypertensive pregnancy disorders (6.2% vs. 2%; p = 0.004) and C-sections (50% vs. 34.5%; p < 0.001). BMI was revealed to be an individual risk factor for the severe combined pregnancy outcome (maternal death, stillbirth or preterm birth < 32 weeks) (OR 1.050, CI 1.005-1.097). (4) Conclusions: Maternal BMI is a predictor for the most severe outcome as maternal or neonatal death and preterm delivery <32 weeks of gestation. Unexpectedly, categorized obesity seems to have limited independent influence on the course and outcome of pregnancies with COVID infections.
Keyphrases
- sars cov
- pregnant women
- preterm birth
- pregnancy outcomes
- metabolic syndrome
- weight loss
- insulin resistance
- coronavirus disease
- weight gain
- type diabetes
- gestational age
- birth weight
- respiratory syndrome coronavirus
- adipose tissue
- bariatric surgery
- quality improvement
- healthcare
- palliative care
- chronic pain
- polycystic ovary syndrome
- low birth weight
- blood pressure
- risk factors
- machine learning
- cross sectional
- artificial intelligence
- glycemic control