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Using the Probability of Cesarean from a Validated Cesarean Prediction Calculator to Predict Labor Length and Morbidity.

Abstract：

OBJECTIVE:To determine if increasing predicted risk of cesarean was associated with longer labor length and increased morbidity among women undergoing induction with an unfavorable cervix. STUDY DESIGN:Using a publically available database, we evaluated whether a previously validated prediction model for cesarean delivery after induction was associated with labor length, maternal morbidity (third-/fourth-degree lacerations, endometritis, blood transfusion, wound infection, venous thromboembolism, hysterectomy, intensive care unit admission, and death), and neonatal morbidity (blood transfusion, encephalopathy, intraventricular hemorrhage, severe respiratory distress syndrome, necrotizing enterocolitis, and sepsis). Full-term (≥37 weeks) singleton gestations with intact membranes and an unfavorable cervix (Bishop score ≤6 and dilation ≤2 cm) undergoing induction of labor were included. RESULTS:A total of 8,466 women met the inclusion criteria. Each category increase in cesarean probability (<20, 20-39.9, 40-59.9, ≥60%) was associated with an increase in labor length (9.6, 10.8, 11.7, and 11.9 hours, respectively; p < 0.001). With increasing predicted probability of cesarean there, was also a significant increase in maternal morbidity with each category (2.6, 4.7, 5.1, 6.1%; p = 0.001) and increase in neonatal morbidity (0.9, 1.5, 2, 2.2%; p = 0.002). CONCLUSION:Using a validated prediction model for cesarean delivery among women induced with an unfavorable cervix, increasing predicted probability of cesarean is associated with longer labor length and increased maternal and neonatal morbidity.

journal_name

Am J Perinatol

journal_title

American journal of perinatology

authors

Hamm RF,Downes KL,Srinivas SK,Levine LD

doi

10.1055/s-0038-1675625

subject

Has Abstract

pub_date

2019-05-01 00:00:00

pages

561-566

issue

6

eissn

0735-1631

issn

1098-8785

journal_volume

36

pub_type

杂志文章

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