Journal of Physical Therapy Science · 2015 · 42 citations · 25 references
Health ProfessionsClinical SciencesPulmonologyVentilationVentilator ManagementAcute Respiratory Distress SyndromeAcute Respiratory Distress Syndrome VentilationAirway AssessmentMechanical VentilationVentilator WeaningWeaning From Mechanical VentilationLikelihood RatiosLogistic RegressionLogistic Regression AnalysisMechanical Ventilation Weaning AssessmentPredictors Of Successful WeaningPredictors Of Weaning FailurePredictors Of Weaning SuccessWeaning Parameters
[Purpose] To investigate the predictive value of maximum inspiratory pressure (MIP) and the rapid shallow breathing index (RSBI) in a ventilator weaning protocol and to evaluate the differences between clinical and surgical patients in the intensive care unit. [Subjects and Methods] Patients aged ≥15 years who underwent orotracheal intubation for mechanical ventilation and who met the criteria of the weaning protocol were included in the study. Receiver operating characteristic (ROC) curves were calculated for the analysis of each index. [Results] Logistic regression analysis was also performed. MIP showed greater sensitivity and specificity [area under the curve (AUC): 0.95 vs. 0.89] and likelihood ratios (LR) (positive(+): 20.85 vs. 9.45; negative(-): 0.07 vs. 0.17) than RSBI in the overall sample (OS) as well as in clinical patients (CP) (AUC: 0.99 vs. 0.90; LR+: 24.66 vs. 7.22; LR-: 0.01 vs. 0.15) and surgical patients (SP) (AUC: 0.99 vs. 0.87; LR+: 9.33 vs. 5.86; LR-: 0.07 vs. 0.14). The logistic regression analysis revealed that both parameters were significantly associated with the weaning success. The MIP showed greater accuracy than the RSBI (OS: 0.93 vs. 0.85; CP: 0.98 vs. 0.87; SP: 0.93 vs. 0.87). [Conclusion] Both parameters are good predictors of successful ventilator weaning.
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William A. Knaus, Elizabeth A. Draper, Douglas P. Wagner et al. · Critical Care Medicine · 1985 · 13.7K citations
Medicine, Internal Medicine, Clinical Classification Systems +16
APACHE II: a severity of disease classification system.
Elizabeth S. Draper · PubMed · 1985 · 6.1K citations