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External validation of a predictive model for reintubation after cardiac surgery: A retrospective, observational study

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Year: 2023
Type: article
Study design: Observational Study
Source: Journal of Clinical Anesthesia
DOI: 10.1016/j.jclinane.2023.111295
Authors: Robert E. Freundlich, Jacob C. Clifton, Richard H. Epstein, Pratik P. Pandharipande, Tristan R. Grogan, Ryan P. Moore, Daniel W. Byrne, Michael Fabbro, Ira S. Hofer
Institutions: Vanderbilt University Medical Center, University of Miami, University of California, Los Angeles
Language: English

Topic: Respiratory Support and Mechanisms
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: bronze

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute
Awards: Reducing Reintubation Risk in High-Risk Cardiac Surgery Patients with High-Flow Nasal Cannula -the "I-CAN" study, Use of Machine Learning on Integrated Electronic Medical Record, Genetic andWaveform Data to Predict Perioperative Cardiorespiratory Instability
OpenAlex ID: W4387925178
FWCI: 1.211
Cites: 24
Cited by: 7
Related to: 10
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