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All-cause mortality prediction models in type 2 diabetes: applicability in the early stage of disease.
- Source :
-
Acta diabetologica [Acta Diabetol] 2021 Oct; Vol. 58 (10), pp. 1425-1428. Date of Electronic Publication: 2021 May 29. - Publication Year :
- 2021
-
Abstract
- Aims: The rate of all-cause mortality is twofold higher in type 2 diabetes than in the general population. Being able to identify patients with the highest risk from the very beginning of the disease would help tackle this burden.<br />Methods: We tested whether ENFORCE, an established prediction model of all-cause mortality in type 2 diabetes, performs well also in two independent samples of patients with early-stage disease prospectively followed up.<br />Results: ENFORCE's survival C-statistic was 0.81 (95%CI: 0.72-0.89) and 0.78 (95%CI: 0.68-0.87) in both samples. Calibration was also good. Very similar results were obtained with RECODe, an alternative prediction model of all-cause mortality in type 2 diabetes.<br />Conclusions: In conclusion, our data show that two well-established prediction models of all-cause mortality in type 2 diabetes can also be successfully applied in the early stage of the disease, thus becoming powerful tools for educated and timely prevention strategies for high-risk patients.<br /> (© 2021. Springer-Verlag Italia S.r.l., part of Springer Nature.)
- Subjects :
- Humans
Risk Factors
Diabetes Mellitus, Type 2
Subjects
Details
- Language :
- English
- ISSN :
- 1432-5233
- Volume :
- 58
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- Acta diabetologica
- Publication Type :
- Academic Journal
- Accession number :
- 34050821
- Full Text :
- https://doi.org/10.1007/s00592-021-01746-2