Key Predictors of Neonatal Respiratory Compromise in Placenta Accreta Spectrum: An 11-Year Retrospective Cohort Study

<b>Background/Objectives</b>: Placenta accreta spectrum (PAS) is associated with substantial maternal and perinatal morbidity and may lead to respiratory distress in newborns. However, limited evidence exists regarding predictors of respiratory compromise (RC) in neonates born to pregnancies complicated by PAS. <b>Methods:</b> This retrospective cohort study included neonates born to pregnancies complicated by PAS between 1 January 2014 and 31 December 2024. Independent predictors of RC were identified using logistic regression, and a weighted scoring model was developed. Model performance and internal validity were assessed using area under the receiver operating characteristic curve, calibration plots, and bootstrap re-sampling. <b>Results:</b> Among 237 neonates born to PAS-complicated pregnancies, 112 (47.3%) experienced RC. Six independent predictors were identified and assigned weighted points: maternal vaginal bleeding within 24 h before delivery (2 points); placenta type-accreta (reference), increta (1 point), and percreta (2 points); absence of antenatal corticosteroid use (1 point); gestational age-29-31 weeks (5 points) and 32-36 weeks (3 points); birth weight < 2500 g (2 points); and male sex (2 points). At a score threshold of 7, the model demonstrated good discrimination, with an area under the receiver operating characteristic curve of 0.75, sensitivity of 67.6%, and specificity of 72.9%. <b>Conclusions:</b> A predictive score > 7 provides fair discrimination for identifying RC in neonates born to pregnancies complicated by PAS and may assist clinicians in identifying high-risk infants who require closer monitoring and early respiratory support.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Medicine
Published
2026-02-15
DOI
https://doi.org/10.3390/jcm15041542
Primary Topic
Maternal and fetal healthcare
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Key Predictors of Neonatal Respiratory Compromise in Placenta Accreta Spectrum: An 11-Year Retrospective Cohort Study

Chanon Kongkamol, Supaporn Dissaneevate, Gunlawadee Maneenil, Manapat Praditaukrit et al.
Journal of Clinical Medicine
Maternal and fetal healthcare
article

Key Predictors of Neonatal Respiratory Compromise in Placenta Accreta Spectrum: An 11-Year Retrospective Cohort Study

Chanon Kongkamol, Supaporn Dissaneevate, Gunlawadee Maneenil, Manapat Praditaukrit, Anucha Thatrimontrichai, Praew Chareesri, Pattima Pakhathirathien, Savitree Pranpanus
article en

Abstract

<b>Background/Objectives</b>: Placenta accreta spectrum (PAS) is associated with substantial maternal and perinatal morbidity and may lead to respiratory distress in newborns. However, limited evidence exists regarding predictors of respiratory compromise (RC) in neonates born to pregnancies complicated by PAS. <b>Methods:</b> This retrospective cohort study included neonates born to pregnancies complicated by PAS between 1 January 2014 and 31 December 2024. Independent predictors of RC were identified using logistic regression, and a weighted scoring model was developed. Model performance and internal validity were assessed using area under the receiver operating characteristic curve, calibration plots, and bootstrap re-sampling. <b>Results:</b> Among 237 neonates born to PAS-complicated pregnancies, 112 (47.3%) experienced RC. Six independent predictors were identified and assigned weighted points: maternal vaginal bleeding within 24 h before delivery (2 points); placenta type-accreta (reference), increta (1 point), and percreta (2 points); absence of antenatal corticosteroid use (1 point); gestational age-29-31 weeks (5 points) and 32-36 weeks (3 points); birth weight < 2500 g (2 points); and male sex (2 points). At a score threshold of 7, the model demonstrated good discrimination, with an area under the receiver operating characteristic curve of 0.75, sensitivity of 67.6%, and specificity of 72.9%. <b>Conclusions:</b> A predictive score > 7 provides fair discrimination for identifying RC in neonates born to pregnancies complicated by PAS and may assist clinicians in identifying high-risk infants who require closer monitoring and early respiratory support.

Journal of Clinical MedicineVol. 15(4)
Prince of Songkla University (TH)
Prince of Songkla University, Faculty of Medicine, Prince of Songkla University
Peace, Justice and strong institutions
Openalex Percentile: Top 54%
Maternal and fetal healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.