ArticleFrontiers in cardiovascular medicine2021
A Predictive Scoring Model for Postoperative Tracheostomy in Patients Who Underwent Cardiac Surgery.
Article in Frontiers in cardiovascular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Limitations of Retrospective Machine Learning Models for Predicting Tracheostomy After Cardiac Surgery.Diagnostics (Basel, Switzerland) · 2026Article
- Development and validation of the STeP score for predicting tracheostomy in patients with sepsis using a nationwide ICU database: a retrospective observational study.Journal of intensive care · 2025Article
- Implications of tracheostomy after acute type A aortic dissection repair: Longitudinal outcomes and factors associated with patients requiring it.JTCVS open · 2025Article
- Advanced Respiratory Failure Requiring Tracheostomy-A Marker of Unfavourable Prognosis after Heart Transplantation.Diagnostics (Basel, Switzerland) · 2024Article
- Nomogram and Risk Calculator for Postoperative Tracheostomy after Heart Valve Surgery.Journal of cardiovascular development and disease · 2023Article
- Nomogram and risk calculator for severe hypoxemia after heart valve surgery.Frontiers in cardiovascular medicine · 2022Article
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA subset of patients require a tracheostomy as respiratory support in a severe state after cardiac surgery. There are limited data to assess the predictors for requiring postoperative tracheostomy (POT) in cardiac surgical patients.
methodsThe records of adult patients who underwent cardiac surgery from 2016 to 2019 at our institution were reviewed. Univariable analysis was used to assess the possible risk factors for POT. Then multivariable logistic regression analysis was performed to identify independent predictors. A predictive scoring model was established with predictor assigned scores derived from each regression coefficient divided by the smallest one. The area under the receiver operating characteristic curve and the Hosmer-Lemeshow goodness-of-fit test were used to evaluate the discrimination and calibration of the risk score, respectively.
resultsA total of 5,323 cardiac surgical patients were included, with 128 (2.4%) patients treated with tracheostomy after cardiac surgery. Patients with POT had a higher frequency of readmission to the intensive care unit (ICU), longer stay, and higher mortality (
conclusionsWe established and verified a predictive scoring model for POT in patients who underwent cardiac surgery. The scoring model was conducive to risk stratification and may provide meaningful information for clinical decision-making.
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