Influencing Factor Analysis and Prediction Model of Emergency Caesarean Delivery for Advanced-Age Nulliparous Women at the Time of Hospitalization

Ryosuke Arakaki, Wataru Isono, Hiroaki Fukuda, Junya Tanaka, Arisa Minamino, Shiko Hayashi · 2024

Read Influencing Factor Analysis and Prediction Model of Emergency Caesarean Delivery for Advanced-Age Nulliparous Women at the Time of Hospitalization by Ryosuke Arakaki, Wataru Isono, Hiroaki Fukuda, Junya Tanaka, Arisa Minamino, Shiko Hayashi (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12056442.txt.

Description

Ryosuke Arakaki and five colleagues model which older first-time mothers in Japan will end up needing an emergency caesarean delivery. Later first births and infertility treatment are both rising, and with them difficult labor. Reviewing 1,521 first-time mothers at their hospital, the team focused on 675 aged thirty or older.

Emergency caesarean rates climbed steadily with age. Seven admission-time factors mattered independently: age forty or older, assisted reproduction history, short stature, high body mass index, an unready cervix score, delivery past term, and a large infant. A simple count of these factors produced a prediction model where risk rose with each added factor. The authors offer it to flag patients needing especially careful labor management.

Catalog record

CREATORRyosuke Arakaki, Wataru Isono, Hiroaki Fukuda, Junya Tanaka, Arisa Minamino, Shiko Hayashi
YEAR2024
COLLECTIONPAPERS
FORMATTXT
FILE SIZE23 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC12056442

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