Volume 21 Issue 4
Apr.  2023
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XU Juan, HU Xinyi, YIN Quanzhong, GU Yihang. Application of comprehensive geriatric assessment combined with medical association grading diagnosis and treatment in senile diabetes patients[J]. Chinese Journal of General Practice, 2023, 21(4): 615-618. doi: 10.16766/j.cnki.issn.1674-4152.002943
Citation: XU Juan, HU Xinyi, YIN Quanzhong, GU Yihang. Application of comprehensive geriatric assessment combined with medical association grading diagnosis and treatment in senile diabetes patients[J]. Chinese Journal of General Practice, 2023, 21(4): 615-618. doi: 10.16766/j.cnki.issn.1674-4152.002943
shu

Application of comprehensive geriatric assessment combined with medical association grading diagnosis and treatment in senile diabetes patients

doi: 10.16766/j.cnki.issn.1674-4152.002943
  • 1.

    Department of Endocrinology, Jiangyin Hospital, Nantong University, Jiangyin, Jiangsu 214400, China

Funds:

 XYFY2020006

 JLY2021074

 LSD2022007

 LD2022005

  • Received Date: 2022-10-11
    Available Online: 2023-05-31
    Abstract
  •   Objective  To study the application value of comprehensive geriatric assessment (CGA) combined with medical association grading diagnosis and treatment in screening the risk factors and comprehensive intervention effect of senile diabetes patients.  Methods  A total of 624 elderly patients who received medical treatment in Jiangyin People's Hospital Medical Group from January 2018 to August 2022 were selected, the incidence of diabetes was investigated according to whether they were of advanced age. CGA was used to analyze the differences of various indicators between non-diabetes and diabetes groups in 319 elderly people, and binary logistic regression analysis was used to analyze the influencing factors. Then, 40 elderly patients with diabetes were selected and randomly divided into study group and control group, with 20 patients in each group. The study group was managed using a hierarchical diagnosis and treatment model in a medical consortium, while the control group was managed using traditional methods. After 3 months, various indicators of the two groups of patients were compared.  Results  The prevalence of diabetes in the elderly (37.6%, 120/319) was significantly higher than that in the non-elderly (29.8%, 91/305; χ2=4.218, P=0.040). The elderly diabetes group and the non-diabetes group had statistically significant differences in 23 indicators (P < 0.05). The degree of education (OR=0.322), smoking history (OR=4.398), family history of diabetes (OR=7.714), HbA1c (OR=16.609), BMI (OR=1.200), comorbidity index (OR=1.240), number of drugs taken (OR=1.259), cognitive dysfunction (OR=7.594), sleep disorder (OR=4.101), depression (OR=4.745), apparent weakness (OR=8.200), and constipation (OR=4.003) were the risk factors for senile diabetes. After 3 months of effective intervention on controllable factors, the various blood glucose indicators and the incidence of adverse reactions were all significantly reduced in the senile diabetes patients (P < 0.05).  Conclusion  CGA combined with medical association-general practice grading diagnosis and treatment mode can manage senile diabetes more effectively.

     

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