External Validation of the PLASE Score Prediction Model for PDA Surgery

The PLASE score-a predictive model for subsequent patent ductus arteriosus (PDA) surgery using simple echocardiographic indices on day 3-has demonstrated strong predictive ability. To our knowledge, no predictive model for PDA surgery has undergone external validation. This study aimed to externally validate and update the PLASE score using an independent cohort. The PLASE score was applied to a validation dataset comprising infants admitted to Kanagawa Children's Medical Center between 2019 and 2024 with a gestational age of 23 to 29 weeks. Discriminative performance was assessed using the area under the receiver operating characteristic curve (ROC-AUC) and the Brier score. Calibration analysis was also conducted. The PLASE score was subsequently updated using the entire dataset. The validation cohort included 127 patients-23 who underwent PDA surgery and 104 who did not. The PLASE score exhibited good discriminative ability, with a ROC-AUC of 0.833 (95% confidence interval [CI], 0.755-0.911) and a Brier score of 0.125. After model updating, the ROC-AUC improved to 0.846 (95% CI, 0.810-0.882). The PLASE score demonstrated high predictive performance in this external validation cohort. Based on the integrated dataset, a revised model (PLASE score version 2) was developed, offering a more robust and clinically applicable tool for current neonatal care.

Authors

Institutions

Publication Details

Journal
Pediatric Cardiology
Published
2025-11-13
DOI
https://doi.org/10.1007/s00246-025-04096-w
Primary Topic
Cardiovascular Conditions and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

External Validation of the PLASE Score Prediction Model for PDA Surgery

Tohru Kobayashi, Katsuaki Toyoshima, Tetsuya Isayama, Kyongsun Pak et al.
Pediatric Cardiology
Cardiovascular Conditions and Treatments
article

External Validation of the PLASE Score Prediction Model for PDA Surgery

Tohru Kobayashi, Katsuaki Toyoshima, Tetsuya Isayama, Kyongsun Pak, Satoshi Masutani, Seiichi Tomotaki, Yusuke Morita
article en

Abstract

The PLASE score-a predictive model for subsequent patent ductus arteriosus (PDA) surgery using simple echocardiographic indices on day 3-has demonstrated strong predictive ability. To our knowledge, no predictive model for PDA surgery has undergone external validation. This study aimed to externally validate and update the PLASE score using an independent cohort. The PLASE score was applied to a validation dataset comprising infants admitted to Kanagawa Children's Medical Center between 2019 and 2024 with a gestational age of 23 to 29 weeks. Discriminative performance was assessed using the area under the receiver operating characteristic curve (ROC-AUC) and the Brier score. Calibration analysis was also conducted. The PLASE score was subsequently updated using the entire dataset. The validation cohort included 127 patients-23 who underwent PDA surgery and 104 who did not. The PLASE score exhibited good discriminative ability, with a ROC-AUC of 0.833 (95% confidence interval [CI], 0.755-0.911) and a Brier score of 0.125. After model updating, the ROC-AUC improved to 0.846 (95% CI, 0.810-0.882). The PLASE score demonstrated high predictive performance in this external validation cohort. Based on the integrated dataset, a revised model (PLASE score version 2) was developed, offering a more robust and clinically applicable tool for current neonatal care.

Pediatric Cardiology
Kyoto University (JP), Kanagawa Children's Medical Center (JP), National Center For Child Health and Development (JP), Saitama Medical University (JP), Yokohama City University (JP)
Openalex Percentile: Top 51%
Cardiovascular Conditions and Treatments
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.