Development and validation of a nomogram model for predicting cardiac autonomic neuropathy in patients with diabetes - Takeaways - MDSpire

Development and validation of a nomogram model for predicting cardiac autonomic neuropathy in patients with diabetes

  • By

  • Binhui Jia

  • Zhuyi Jiang

  • Xuexian Wen

  • Mingming Yang

  • Jun Wang

  • June 5, 2026

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  • 1

    Diabetic Cardiac Autonomic Neuropathy (DCAN) is a serious complication of diabetes linked to increased mortality and often underdiagnosed.

  • 2

    A predictive nomogram for DCAN was developed using clinical data from 453 diabetes patients, identifying key predictors for risk assessment.

  • 3

    The optimal prediction model was a logistic regression algorithm, achieving an area under the curve (AUC) of 0.838 and 77% sensitivity.

  • 4

    The nomogram and interactive web calculator provide cost-effective tools for early risk assessment and personalized management of DCAN.

  • 5

    The study highlights the need for accessible screening tools to identify high-risk diabetes patients for timely intervention against DCAN.

Original Source(s)

Development and validation of a nomogram model for predicting cardiac autonomic neuropathy in patients with diabetes

  • by Binhui Jia, Zhuyi Jiang, Xuexian Wen, Mingming Yang, Jun Wang

  • June 5, 2026

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