Construction of a nomogram model to predict arteriosclerosis in middle-aged and elderly community dwellers: insights from a cohort study - Takeaways - MDSpire

Construction of a nomogram model to predict arteriosclerosis in middle-aged and elderly community dwellers: insights from a cohort study

  • By

  • Wenxing Gao

  • Yue Zhang

  • Xulei Tang

  • Li Yan

  • Zuojie Luo

  • Guijun Qin

  • Lulu Chen

  • Qin Wan

  • Zhengnan Gao

  • Weiqing Wang

  • Guang Ning

  • Yiming Mu

  • June 19, 2026

  • 0 min

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  • 1

    A cohort study involving 4107 participants over 40 years aimed to develop a nomogram for predicting arteriosclerosis in community settings.

  • 2

    Independent risk factors for arteriosclerosis identified included age, BMI, hypertension, triglyceride levels, glycosylated hemoglobin, sex, and fasting blood glucose.

  • 3

    The prediction model achieved an area under the receiver operating characteristic curve of 0.811 for the derivation cohort and 0.816 for the validation cohort.

  • 4

    Calibration curves indicated high consistency between predicted and observed results, while decision curve analysis showed favorable net benefits of the model.

  • 5

    The study highlights the importance of early identification and intervention for arteriosclerosis to improve patient prognosis in middle-aged and elderly individuals.

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