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|Title:||Can the simple clinical score usefully predict the mortality risk and length of stay for a recently admitted patient?|
|Citation:||Australian Health Review, 2015; 39(5):522-527|
|Minh T. Nguyen, Richard J. Woodman, Paul Hakendorf, Campbell H. Thompson, Jeff Faunt|
|Abstract:||Objectives. The aim of the present study was to determine whether an aggregate simple clinical score (SCS) has a role in predicting the imminent mortality and in-hospital length of stay (LOS) of newly admitted, acutely unwell General Medical in-patients. Methods. Data were collected prospectively from adult patients admitted through an Acute Medical Unit between February and August 2013. Using logistic regression analysis before and after adjustment for age, the SCS was assessed for its association with LOS and mortality, including 30-day mortality, just for those patients for full resuscitation. Changes in sensitivity and specificity after adding SCS to age as a predictor, as well as the change in the net reclassification index, were determined using the predicted probabilities from the logistic regression models. Results. The SCS was superior to age in predicting mortality of any patient within 30 days. It did not assist in predicting 30-day mortality for those patients who were for full resuscitation. The ability of the SCS to predict long stay (> 72h) remained relatively low (64%) and was inferior to published rates achieved by bedside clinician assessment (74% – 82%). Conclusion. There was no useful prospective role for the SCS in predicting LOS and mortality of in-patients newly admitted to a General Medicine service.|
|Keywords:||Humans; Death; Hospitalization; Length of Stay; Logistic Models; Risk Assessment; Prospective Studies; Predictive Value of Tests; Forecasting; Adult; Aged; Aged, 80 and over; Middle Aged; Female; Male|
|Rights:||Journal compilation © AHHA 2015|
|Appears in Collections:||Medicine publications|
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