英文摘要
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Ventilator weaning is not always successful, and many factors influence its success. Clinically, these indicators are not entirely distinct. The use of predictive indicators of ventilator weaning along with other predictive projects can enable the attainment of a more accurate understanding of the optimal timing for ventilator weaning. We adopted a cross-sectional design with convenience sampling to investigate the predictors of successful weaning. A total of 60 patients were recruited from the intensive care units (ICUs) of teaching hospitals on one of Taiwan's offshore islands. We collected data by using measurement tools and reviewing patients' medical records, and a t test, the Mann-Whitney U test, a chi-square test, and logistic regression were used to analyze data. The results indicated that ventilator weaning results differed significantly according to body mass index (BMI) (t=-3.47, p= .001), ICU stay (Z=-2.49, p= .013), Acute Physiology And Chronic Health Evaluation II (APACHE II) score at admission (Z=-2.76, p= .006) and before weaning (t=2.83, p= .006), breathing sounds (p= .004), HCO_3^- level (t=2.28, p= .026), BE (t=2.65, p= .010), and Pimax (Z=-2.31, p= .021). The best predictor of successful weaning was BMI, with 80.0% accuracy, 95.7% sensitivity, 28.6% specificity, 81.5% PPV, and 66.7% NPV. The combined use of BMI, ICU stay, and APACHE II before weaning increased these values to 85.0% accuracy, 93.5% sensitivity, 57.1% specificity, 87.8% PPV, and 72.7% NPV. Doctors could use BMI, ICU stay, and APACHE II before weaning to more accurately determine the outcomes of ventilator weaning among patients under intubation.
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