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Research Article
Elena Bignami
Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126 Parma, Italy
Corresponding Author
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This work is licensed under a CC BY 4.0 License. Read Full License
Background
Pulmonary complications after cardiac surgery are a leading cause of morbidity and mortality. The aim of this study was to develop predictive models for postoperative lung dysfunction and mortality.
Methods
This was a single-center, observational, retrospective study, which took place in a tertiary care University Hospital. We retrospectively analyzed data regarding 11285 adult patients who underwent all types of cardiac surgery from 2003 to 2015.
We developed logistic predictive models for in-hospital mortality, for postoperative pulmonary complications (PPC) occurring in the intensive care unit (ICU), and the need for postoperative non-invasive mechanical ventilation (NIMV) when clinically indicated.
Results
Age, preoperative ejection fraction, New York Heart Association (NYHA) class, emergency surgery, pharmacological and mechanical circulatory support, creatinine peak in the ICU, tracheostomy, and a lower PaO2/FiO2 ratio at ICU discharge were predictors of mortality. Age, ejection fraction, body mass index, creatinine peak in the ICU, blood-product use, inotropic support, and a lower PaO2/FiO2 ratio were predictors of postoperative NIMV. Preoperative lung disease, ejection fraction, NYHA class, inotropic and mechanical support, and preoperative serum creatinine were predictors of PPC.
Conclusions
We provide three models for the prediction of major pulmonary complications and mortality following cardiac surgery.
Keywords
Cardiac anesthesia, mortality, postoperative pulmonary complications, PaO2/FiO2.
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A new preprint design is coming!
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
Elena Bignami
Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126 Parma, Italy
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 18 Jan, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Anesthesiology & Pain Medicine
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Pulmonary complications after cardiac surgery are a leading cause of morbidity and mortality. The aim of this study was to develop predictive models for postoperative lung dysfunction and mortality.
Methods
This was a single-center, observational, retrospective study, which took place in a tertiary care University Hospital. We retrospectively analyzed data regarding 11285 adult patients who underwent all types of cardiac surgery from 2003 to 2015.
We developed logistic predictive models for in-hospital mortality, for postoperative pulmonary complications (PPC) occurring in the intensive care unit (ICU), and the need for postoperative non-invasive mechanical ventilation (NIMV) when clinically indicated.
Results
Age, preoperative ejection fraction, New York Heart Association (NYHA) class, emergency surgery, pharmacological and mechanical circulatory support, creatinine peak in the ICU, tracheostomy, and a lower PaO2/FiO2 ratio at ICU discharge were predictors of mortality. Age, ejection fraction, body mass index, creatinine peak in the ICU, blood-product use, inotropic support, and a lower PaO2/FiO2 ratio were predictors of postoperative NIMV. Preoperative lung disease, ejection fraction, NYHA class, inotropic and mechanical support, and preoperative serum creatinine were predictors of PPC.
Conclusions
We provide three models for the prediction of major pulmonary complications and mortality following cardiac surgery.
Figure 1
Figure 2
This is a list of supplementary files associated with this preprint. Click to download.
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