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Indicators of different outcomes after prolonged weaning
Julia D Michels-Zetsche1, Evelyn Röser2, Hilal Ersöz3
1Department of Pneumology and Critical Care, Thoraxklinik, University Hospital Heidelberg, Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Röntgenstrasse 1, 69126, Heidelberg, Germany. Julia.Michels@med.uni-heidelberg.de.
Identifying specific indicators for prolonged mechanical ventilation weaning outcomes can improve patient care. Early risk assessment helps tailor treatment, shorten hospital stays, and optimize resource allocation for ventilator-dependent patients.
Area of Science:
- Critical Care Medicine
- Pulmonology
- Respiratory Therapy
Background:
- Prolonged mechanical ventilation (PMV) weaning outcomes vary widely, from successful liberation to mortality.
- Specialized weaning centers manage complex cases, necessitating outcome prediction.
- Identifying predictors for different weaning trajectories is crucial for patient management.
Purpose of the Study:
- To identify specific indicators associated with distinct prolonged mechanical ventilation weaning outcomes.
- To develop a risk stratification model for patients undergoing prolonged weaning.
- To inform clinical decision-making and resource allocation in weaning centers.
Main Methods:
- Retrospective analysis of 915 patients undergoing prolonged weaning at a specialist center (Dec 2008-Dec 2023).
- Categorization of patients into four outcomes: successful weaning (with/without non-invasive ventilation) and discharge with IMV or death.
- Multivariate logistic regression and Receiver Operating Characteristic (ROC) curve analysis to identify predictive indicators.
Main Results:
- Successful weaning occurred in 73.2% of patients. Outcomes included successful weaning (36.1%), successful weaning with non-invasive ventilation (37.1%), discharge with IMV (20.2%), and death (6.6%).
- Distinct indicators were identified for each outcome, including comorbidities, BMI, cause of IMV (e.g., AECOPD, neuromuscular disease), pre-existing conditions (COPD, malignancy), and complications (nosocomial pneumonia, CIP).
- ROC curves demonstrated acceptable predictive accuracy (AUC 0.72-0.79) for the identified indicators.
Conclusions:
- Specific patient characteristics and clinical factors predict different prolonged mechanical ventilation weaning outcomes.
- Early assessment of individual risk profiles can optimize outpatient care planning.
- Identifying predictors can shorten length of stay in weaning units and improve bed availability for new patients.
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