Evidence map›Paper›PMID 40979789›Full record

ArticleWorld journal of emergency medicine2025

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

Jungang Zheng, Wenyuan Zhang, Yuqian Guo, Huiyi Hu, Yue Jin, Xiangming Fang

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Article in World journal of emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Jungang Zheng1Department of Anesthesiology and Intensive Care, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 311100, China.
Wenyuan Zhang4Department of Anesthesiology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310003, China.
Yuqian Guo1Department of Anesthesiology and Intensive Care, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 311100, China.
Huiyi Hu1Department of Anesthesiology and Intensive Care, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 311100, China.
Yue Jin1Department of Anesthesiology and Intensive Care, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 311100, China.
Xiangming Fang1Department of Anesthesiology and Intensive Care, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 311100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to develop and validate a nomogram to estimate the probability of prolonged intensive care unit (ICU) stays.

methodsPediatric patients who underwent cardiac surgery were included, with data collected from the pediatric intensive care database. The datasets were randomly divided into a training set (75%) and a testing set (25%). A nomogram model was developed to predict prolonged ICU stays in the training set and then validated in the testing set.

resultsA total of 795 patients and 266 patients were assigned to the training and testing sets, respectively, with consistent variables. The nomogram developed from the training set included eight characteristics: age, systolic blood pressure, respiratory rate, bicarbonate, direct bilirubin, high-sensitivity C-reactive protein, international normalized ratio, and operation time. The area under the curve values of the nomogram in the training and testing sets were 0.812 and 0.736, respectively. The nomogram demonstrated excellent discrimination and calibration. Decision curve analysis showed that the use of the nomogram resulted in more favorable outcomes compared with the strategies of treating all or none of the patients.

conclusionThis 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.

Indexed as

Cardiac surgeryNomogramPediatricProlonged ICU stays

Identifiers

PMID40979789
PMCPMC12444235

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