The burden of premature ventricular contractions predicts adverse fetal and neonatal outcomes among pregnant women without structural heart disease: A prospective cohort study
Autor: | Shunxin Yang, Qiushi Chen, Yukang Shi, Jingxian Chen, Yaoxi Chen, Junhong Wang, Mingming Zhang, Yanxia Qian, Xinyi Luo, Jing Lin, Ruijie Xu, Qiang Ding, Xin Wu |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
Heart disease Clinical Investigations 030204 cardiovascular system & hematology 03 medical and health sciences 0302 clinical medicine Heart Rate Pregnancy Heart rate medicine Humans 030212 general & internal medicine Prospective Studies Prospective cohort study Adverse effect premature ventricular contractions (PVCs) Ejection fraction Obstetrics business.industry Infant Newborn General Medicine medicine.disease Ventricular Premature Complexes Premature ventricular contractions (PVCs) fetal/neonatal outcomes Bigeminy Electrocardiography Ambulatory Female Pregnant Women Cardiology and Cardiovascular Medicine business |
Zdroj: | Clinical Cardiology |
ISSN: | 1932-8737 0160-9289 |
Popis: | Background Premature ventricular contractions (PVCs) may increase during pregnancy, however, few studies have evaluated the relationship between PVCs and the pregnant outcomes. Hypothesis PVCs may increase the adverse fetal/neonatal outcomes in pregnant women. Methods Six thousand one hundred and forty‐eight pregnant women were prospectively enrolled in our center between 2017 and 2019 in the study. The average PVC burden was determined by calculating the number of PVCs in total beats. Those who had a PVC burden >0.5% were divided into two groups based on the presence or absence of adverse fetal or neonatal events. The adverse outcomes were compared between the groups to assess the impact of PVCs on pregnancy. Results A total of 103 (1.68%) women with a PVC burden >0.5% were recorded. Among them, 17 adverse events (12 cases) were documented, which was significantly higher than that among women without PVCs (11.65% vs. 2.93%, p |
Databáze: | OpenAIRE |
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