{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Ranjeva S"],"funding":["NHLBI NIH HHS","National Institutes of Health","NIH HHS","NIGMS NIH HHS"],"pagination":["31"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11575736"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["48(1)"],"pubmed_abstract":["Intraoperative cardiopulmonary variables are well-known predictors of postoperative pulmonary complications (PPC), traditionally quantified by median values over the duration of surgery. However, it is unknown whether cardiopulmonary instability, or wider intra-operative variability of the same metrics, is distinctly associated with PPC risk and severity. We leveraged a retrospective cohort of adults (n = 1202) undergoing major non-cardiothoracic surgery. We used multivariable logistic regression to evaluate the association of two outcomes (1)moderate-or-severe PPC and (2)any PPC with two sets of exposure variables- (a)variability of cardiopulmonary metrics (inter-quartile range, IQR) and (b)median intraoperative cardiopulmonary metrics. We compared predictive ability (receiver operating c"],"journal":["Journal of medical systems"],"pubmed_title":["Effects of Intra-operative Cardiopulmonary Variability On Post-operative Pulmonary Complications in Major Non-cardiac Surgery: A Retrospective Cohort Study."],"pmcid":["PMC11575736"],"funding_grant_id":["UG3 HL140177","T32 GM007592","2T32GM007592-41"],"pubmed_authors":["Ruiz RM","Giquel J","Bartels K","Fernandez-Bustamante A","Ranjeva S","Frendl G","Sprung J","Subramaniam B","Odozynski G","Lee JW","Nagebretsky A","Houle T","Gupta RA","Melo MFV"],"additional_accession":[]},"is_claimable":false,"name":"Effects of Intra-operative Cardiopulmonary Variability On Post-operative Pulmonary Complications in Major Non-cardiac Surgery: A Retrospective Cohort Study.","description":"Intraoperative cardiopulmonary variables are well-known predictors of postoperative pulmonary complications (PPC), traditionally quantified by median values over the duration of surgery. However, it is unknown whether cardiopulmonary instability, or wider intra-operative variability of the same metrics, is distinctly associated with PPC risk and severity. We leveraged a retrospective cohort of adults (n = 1202) undergoing major non-cardiothoracic surgery. We used multivariable logistic regression to evaluate the association of two outcomes (1)moderate-or-severe PPC and (2)any PPC with two sets of exposure variables- (a)variability of cardiopulmonary metrics (inter-quartile range, IQR) and (b)median intraoperative cardiopulmonary metrics. We compared predictive ability (receiver operating c","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Mar","modification":"2025-04-04T01:27:57.546Z","creation":"2025-04-04T01:27:57.546Z"},"accession":"S-EPMC11575736","cross_references":{"pubmed":["38488884"],"doi":["10.1007/s10916-024-02050-6"]}}