Prediction models for postoperative pulmonary complications in intensive care unit patients after no...
Prediction models for postoperative pulmonary complications in intensive care unit patients after noncardiac thoracic surgery
About this item
Full title
Author / Creator
He, Xiangjun , Dong, Meiling , Xiong, Huaiyu , Zhu, Yukun , Ping, Feng , Wang, Bo and Kang, Yan
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
Postoperative pulmonary complication (PPC) is a leading cause of mortality and poor outcomes in postoperative patients. No studies have enrolled intensive care unit (ICU) patients after noncardiac thoracic surgery, and effective prediction models for PPC have not been developed. This study aimed to explore the incidence and risk factors and constru...
Alternative Titles
Full title
Prediction models for postoperative pulmonary complications in intensive care unit patients after noncardiac thoracic surgery
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_0b374d8465db4cbc8fb06d22690e77e6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0b374d8465db4cbc8fb06d22690e77e6
Other Identifiers
ISSN
1471-2466
E-ISSN
1471-2466
DOI
10.1186/s12890-024-03153-z
