METHODS OF PREDICTING BONE FRACTURE RISK IN TYPE 2 DIABETES PATIENTS

    公开(公告)号:US20240047071A1

    公开(公告)日:2024-02-08

    申请号:US18216679

    申请日:2023-06-30

    CPC classification number: G16H50/30 A61B5/7275 A61B5/4504 A61B5/14532

    Abstract: A method of predicting bone fracture risk in a type 2 diabetes (“T2D”) patient includes: obtaining a plurality of averaged glycated hemoglobin (“HbA1c”) values for a plurality of T2D subjects over an observational period; binning the plurality of averaged HbA1c values into two predetermined categories; obtaining a plurality of total fracture incidences for the plurality of T2D subjects over a follow-up period; performing a plurality of linear regression model correlations between the binned HbA1c values and the plurality of total fracture incidences to determine a bone fracture rate prediction model; obtaining a measurement of an HbA1c value of the T2D patient; and analyzing the HbA1c value of the T2D patient with the bone fracture rate prediction model to determine the T2D patient's risk of bone fracture for a future period.

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