Prediction models for postoperative pulmonary complications in intensive care unit patients after noncardiac thoracic surgery

ICU patients who underwent noncardiac thoracic surgery were at high risk of developing PPCs. Prediction nomograms were constructed and they were more accurate than reported risk models, with excellent sensitivity and specificity. Moreover, these findings could help assess individual PPC risk and enhance postoperative management of patients.

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Publication Details

Journal
BMC Pulmonary Medicine
Published
2024-08-29
DOI
https://doi.org/10.1186/s12890-024-03153-z
Citations
6
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
2.51

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article

Prediction models for postoperative pulmonary complications in intensive care unit patients after noncardiac thoracic surgery

Huaiyu Xiong, Ping Feng, Meiling Dong, Xijing He et al.
6 citations
BMC Pulmonary Medicine
Respiratory Support and Mechanisms
2.51
article

Prediction models for postoperative pulmonary complications in intensive care unit patients after noncardiac thoracic surgery

Huaiyu Xiong, Ping Feng, Meiling Dong, Xijing He, Yukun Zhu, Yan Kang, Bo Wang
article en
6 citations

Abstract

ICU patients who underwent noncardiac thoracic surgery were at high risk of developing PPCs. Prediction nomograms were constructed and they were more accurate than reported risk models, with excellent sensitivity and specificity. Moreover, these findings could help assess individual PPC risk and enhance postoperative management of patients.

BMC Pulmonary MedicineVol. 24(1)
Sichuan University (CN), West China Hospital of Sichuan University (CN)
Sichuan University, National Key Research and Development Program of China, West China Hospital, Sichuan University
Openalex Percentile: Top 10%
Respiratory Support and Mechanisms
2.51
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Prediction models for postoperative pulmonary complications in intensive care unit patients after noncardiac thoracic surgery — Huaiyu Xiong, Ping Feng, et al. · BMC Pulmonary Medicine (2024) | TGRS Research Map | TGRS