Prognosis and prognostic research validating a prognostic model
The predictors in the models were age, sex, CAD diagnosis, deprivation, smoking, hypertension, diabetes, lipids, heart failure, peripheral arterial disease, atrial fibrillation, stroke, chronic kidney disease, chronic pulmonary disease, liver disease, cancer, depression, anxiety, heart rate, creatinine, white cell count, and haemoglobin.
The models had good calibration and discrimination in internal (external) validation with C-index 0.811 (0.735) for all-cause mortality and 0.778 (0.718) for non-fatal MI or coronary death.
Validation in Swiss donors demonstrated underestimation of predicted risks and significantly lower discriminative ability.
The predictive effects of most predictors were weaker in Swiss donors.
Methods: Prospectively collected data from 53,772 Swiss whole blood donors were used.
Conclusion: Validation of the Dutch prediction models in Swiss whole blood donors showed lower, though adequate performance.The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety.