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APACHE II score on admission was the best predictor of mortality at the cutoff point value of >23 with 79.00% chances of correctly predicting mortality. APACHE II score had 57.14% sensitivity, 86.15% specificity, 69% PPV, 78.9% NPV, and 76% diagnostic accuracy to predict mortality (Table 5).
The Apache II Score estimates ICU mortality based on a number of laboratory values and patient signs taking both acute and chronic disease into account.
12 de oct. de 2022 · Among the best-known and most widely used score is the Acute Physiology and Chronic Health Evaluation (APACHE) score. APACHE uses the worst physiologic values measured within 24 h of admission to the ICU to calculate the final APACHE score.
13 de mar. de 2017 · The APACHE II score was 16.56 (95% CI, 15.84-17.29) and 19.08 (95% CI, 15.40-22.76) in survivors and non-survivors, while the adjusted predicted death rates were 13.39% (95% CI, 11.83-14.95) and 17.49% (95% CI, 9.81-25.17), respectively.
26 de jun. de 2022 · Results. The area under the ROC curve of SOFA, SAPS II, APACHE II, APACHE IV, multilayer perceptron artificial neural network, and CART decision tree were 76.0, 77.1, 80.3, 78.5, 84.1, and 80.0, respectively. Conclusion.
APACHE II score was found to have 57.14% sensitivity, 86.15% specificity, 69% PPV, 78.9% NPV, and 76% diagnostic accuracy to predict mortality among the AKI patients. Conclusion: APACHE II scoring system has a good discrimination and calibration when applied to ICU-admitted AKI patients and is a good predictor of prognosis in them.
Aim: To validate the predictive capacity of the Sequential Organ Failure Assessment (qSOFA), Mortality in Emergency Department Sepsis (MEDS), and Acute Physiology and Chronic Health Evaluation (APACHE 2) scores in patients with 28-day mortality and in Intensive Care Unit (ICU) patients due to sepsis.
