Comparisons of changes in the adapted diabetes complications severity index and CHA2DS2-VASc score for atrial fibrillation risk stratification in patients with type 2 diabetes mellitus: A nationwide cohort study
| Autor: | Cheng-Li Lin, Meng-Hsuen Hsieh, Wei-Syun Hu |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
medicine.medical_specialty
Receiver operating characteristic business.industry Area under the curve Type 2 Diabetes Mellitus Atrial fibrillation 030204 cardiovascular system & hematology medicine.disease 03 medical and health sciences 0302 clinical medicine Diabetes mellitus Internal medicine CHA2DS2–VASc score Cohort Medicine 030212 general & internal medicine Cardiology and Cardiovascular Medicine business Cohort study |
| Zdroj: | International Journal of Cardiology. 269:122-125 |
| ISSN: | 0167-5273 |
| Popis: | Purpose This study describes the risk prediction of atrial fibrillation (AF) after incident type 2 diabetes mellitus (DM) with either progression of adapted diabetes complications severity index (DCSI) or CHA2DS2-VASc score in a large registry from Taiwan. Methods The authors performed a retrospective nationwide cohort study by analyzing a Longitudinal Health Insurance Dataset, observing the ability of dynamic adapted DSCI and CHA2DS2-VASc score for AF risk discrimination in type 2 diabetic patients. The predictive performance of changes in the adapted DCSI and CHA2DS2-VASc score with regard to AF events was assessed using area under the curve of receiver operating characteristics (AUROC); and the difference between them was examined using the Delong test. Results A total of 81,655 new-onset type 2 DM patients were included in the study cohort. Among them, the AUROC for the adapted DCSI change in predicting AF (0.79, 95% CI = 0.78–0.80) was significantly higher than the change in CHA2DS2-VASc score (0.63, 95% CI = 0.62–0.64) with the DeLong test P Conclusions Adapted DCSI change significantly outperforms the progression of CHA2DS2-VASc score with regard to AF prediction in type 2 diabetic patients. |
| Databáze: | OpenAIRE |
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