To determine the sensitivity, specificity, and positive predictive value (PPV) of fetal fibronectin (fFN) and to determine its usefulness, in conjunction with selected other clinical assessment measures, in the prediction of preterm birth for women with twin gestations.
To translate, validate, and compare performance of an International Classification of Diseases, 10th revision (ICD-10) version of the Multipurpose Australian Comorbidity Scoring System (MACSS) against commonly used comorbidity measures in the prediction of short- and long-term mortality, 28-day all-cause readmission, and length of stay (LOS).
There were no significant interactions of sex with anthropometric measures in the prediction of diabetes.
To analyse the contribution of the indirect measures in the prediction of the direct measures of the RAA, we conducted separate linear regression analysis for each direct measure.
There are two possible explanations for the nonsuperiority of central versus overall adiposity measures in the prediction of diabetes.
The change in coding algorithms did not influence the performance of either the Charlson or Elixhauser comorbidity measures in the prediction of outcome.
In conclusion, the change in disease coding system from ICD-9 to ICD-10 did not impact the performance of Charlson and Elixhauser comorbidity measures in the prediction of mortality.
This study suggests the potential of a short global subjective risk assessment, scored by trained healthcare workers, familiar with their patients, as an alternative to short frailty measures in the prediction of adverse healthcare outcomes.
Employment status, a post test verbal memory performance measure and a measure of executive functioning outperformed all other measures in the prediction of time to relapse, while allocation to treatment group outperformed all other variables in the prediction of both cognitive measures.
The objective of this study was to assess the performance of these two comorbidity measures in the prediction of in-hospital and 1 year mortality among patients with congestive heart failure (CHF), diabetes, chronic renal failure (CRF), stroke and patients undergoing coronary artery bypass grafting (CABG).
