Developing a prediction model for all-cause mortality risk among patients with type 2 diabetes mellitus in Shanghai, China.

ABSTRACT:

Background

All-cause mortality risk prediction models for patients with type 2 diabetes mellitus (T2DM) in mainland China have not been established. This study aimed to fill this gap.

Methods

Based on the Shanghai Link Healthcare Database, patients diagnosed with T2DM and aged 40-99 years were identified between January 1, 2013 and December 31, 2016 and followed until December 31, 2021. All the patients were randomly allocated into training and validation sets at a 2:1 ratio. Cox proportional hazards models were used to develop the all-cause mortality risk prediction model. The model performance was evaluated by discrimination (Harrell C-index) and calibration (calibration plots).

Results

A total of 399 784 patients with T2DM were eventually enrolled, with 68 318 deat

SUBMITTER: Qi J 

PROVIDER: S-EPMC9870741 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature