Evidence map›Paper›PMID 42774075›Full record

ArticleFrontiers in cardiovascular medicine2026

Development and validation of a clinical-ready nomogram for predicting postoperative pulmonary infection after coronary artery bypass grafting.

Yangyao Peng, Bangyu Guo, Jingjing Huang, Yuan Chen, Yanrong Wu, Qian Hu, Caixia Gao, Fen Hu

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Article in Frontiers in cardiovascular medicine, 2026. 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

Authors and funding

8 authors.

Yangyao Peng *Department of Cardiovascular Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Bangyu Guo *Department of Cardiovascular Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jingjing Huang *Department of Plastic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yuan ChenDepartment of Cardiovascular Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yanrong WuDepartment of Cardiac Surgery, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Qian HuDepartment of Cardiovascular Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Caixia GaoDepartment of Cardiovascular Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Fen HuDepartment of Nursing, Zhongnan Hospital of Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Postoperative pulmonary infection (PPI) remains a significant complication following coronary artery bypass grafting (CABG). This study aimed to identify key risk factors and develop a predictive model to facilitate early risk stratification and individualized intervention strategies. Method: We retrospectively reviewed data from 477 patients who underwent CABG at Zhongnan Hospital of Wuhan University between January, 2020, and December, 2025. Patients were randomly assigned to a training cohort ( Result: Six variables were identified as independent predictors: tracheal intubation >24 h, operative duration >10 h, concomitant surgery, intraoperative red blood cell (RBC) transfusion, intraoperative blood loss, and use of intra-aortic balloon pump (IABP). The model demonstrated good discrimination with an AUC of 0·742 (95% CI 0·668-0·817) in the training cohort and 0·745 (95% CI 0·637-0·853) in the validation cohort. Calibration was excellent in both cohorts (training: Conclusion: The developed nomogram, based on six readily available clinical variables, provides a robust and intuitive tool for identifying patients at high risk of PPI after CABG. Early quantification of risk may assist clinicians in optimizing perioperative management.

Indexed as

coronary artery bypass graftingprediction modelpulmonary infectionreal world accident datarisk factors

Identifiers

PMID42774075
PMCPMC13593506

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.