Development and validation of a nomogram for predicting prolonged ICU stays after pediatric cardiac surgery

This study presents a nomogram that may enable early identification of high-risk patients and facilitates tailored postoperative care and better outcomes after pediatric cardiac surgery.

Authors

Institutions

Publication Details

Journal
World Journal of Emergency Medicine
Published
2025-01-01
DOI
https://doi.org/10.5847/wjem.j.1920-8642.2025.039
Primary Topic
Cardiac, Anesthesia and Surgical Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of a nomogram for predicting prolonged ICU stays after pediatric cardiac surgery

Jing Zheng, Xiangming Fang, Yuqian Guo, Huiyi Hu et al.
World Journal of Emergency Medicine
Cardiac, Anesthesia and Surgical Outcomes
article

Development and validation of a nomogram for predicting prolonged ICU stays after pediatric cardiac surgery

Jing Zheng, Xiangming Fang, Yuqian Guo, Huiyi Hu, Wenyuan Zhang, Yue Jin
article en

Abstract

This study presents a nomogram that may enable early identification of high-risk patients and facilitates tailored postoperative care and better outcomes after pediatric cardiac surgery.

World Journal of Emergency MedicineVol. 16(5)
Children's Hospital of Zhejiang University (CN), The People's Hospital of LinXia (CN), Ningbo University Affiliated Hospital (CN), Ningbo First Hospital (CN), First Affiliated Hospital Zhejiang University (CN)
Openalex Percentile: Top 88%
Cardiac, Anesthesia and Surgical Outcomes
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.