Context: Cardiovascular disease (CVD) is a common and costly reason for hospitalization and rehospitalization among patients with type 2 diabetes.

Objective: This study aimed to develop and externally validate two risk-prediction models for cardiovascular hospitalization and cardiovascular rehospitalization.

Design: Two independent prospective cohorts.

Setting: The derivation cohort includes 4704 patients with type 2 diabetes from 18 general practices in Cambridgeshire. The validation cohort comprises 1121 patients with type 2 diabetes from post-trial follow-up data.

Main Outcome Measure: Cardiovascular hospitalization over 2 years and cardiovascular rehospitalization after 90 days of the prior CVD hospitalization.

Results: The absolute rate of cardiovascular hospitalization and rehospitalization was 12.5% and 6.7% in the derivation cohort and 16.3% and 7.0% in the validation cohort. Discrimination of the models was similar in both cohorts, with C statistics above 0.70 and excellent calibration of observed and predicted risks.

Conclusion: Two prediction models that quantify risks of cardiovascular hospitalization and rehospitalization have been developed and externally validated. They are based on a small number of clinical measurements that are available for patients with type 2 diabetes in many developed countries in primary care settings and could serve as the tools to screen the population at high risk of cardiovascular hospitalization and rehospitalization.

Download full-text PDF

Source
http://dx.doi.org/10.1210/jc.2017-02293DOI Listing

Publication Analysis

Top Keywords

cardiovascular hospitalization
24
hospitalization rehospitalization
20
patients type
16
type diabetes
12
cardiovascular
9
rehospitalization patients
8
derivation cohort
8
validation cohort
8
hospitalization
7
rehospitalization
6

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!