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 deaths over a median follow‐up of 6.93 years. The final prediction model included age, sex, heart failure, cerebrovascular disease, moderate or severe kidney disease, moderate or severe liver disease, cancer, insulin use, glycosylated hemoglobin, and high‐density lipoprotein cholesterol. The model showed good discrimination and calibration in the validation sets: the mean C‐index value was 0.8113 (range 0.8110–0.8115) and the predicted risks closely matched the observed risks in the calibration plots. Conclusions This study constructed the first 5‐year all‐cause mortality risk prediction model for patients with T2DM in south China, with good predictive performance.

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