Analysis of risk factors of elderly patients with type 2 diabetes complicatedwith frailty and establishment of prediction model
[Objective] To analyze the risk factors of elderly patients with type 2 diabetes complicated with frailty, and construct a nomogram. [Methods] A total of 152 elderly type 2 diabetes patients admitted to General Hospital of Nothern Theater Command of the People’s Liberation Army of China from Novembe...
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Editorial Office of International Journal of Geriatrics
2025-03-01
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| Series: | Guoji laonian yixue zazhi |
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| Online Access: | http://gwll.publish.founderss.cn/thesisDetails#10.3969/j.issn.1674-7593.2025.02.007&lang=en |
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| _version_ | 1849394717793452032 |
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| author | Wang Zhuo Zheng Haifeng Liang Linlang |
| author_facet | Wang Zhuo Zheng Haifeng Liang Linlang |
| author_sort | Wang Zhuo |
| collection | DOAJ |
| description | [Objective] To analyze the risk factors of elderly patients with type 2 diabetes complicated with frailty, and construct a nomogram. [Methods] A total of 152 elderly type 2 diabetes patients admitted to General Hospital of Nothern Theater Command of the People’s Liberation Army of China from November 2023 to January 2024 were selected, including 106 in the training set and 46 in the validation set. Logistic regression model analysis was applied to screen for risk factors of frailty in elderly type 2 diabetes patients; R software was applied to draw nomogram, ROC curve, calibration curve and Hosmer Lemeshow goodness of fit test were used to assess nomogram performance. [Results] Among the 106 elderly type 2 diabetes patients, 33 cases (31.13%) had frailty, and 73 cases (68.87%) did not have frailty. The results of logistic regression analysis showed that gender is female, stroke, depressive symptoms and high risk of falls were independent risk factors for comorbid frailty in elderly type 2 diabetes patients (P<0.05). The evaluation of training set discrimination: the area under the ROC curve was 0.840 (95% CI: 0.765 - 0.915). Consistency of training set: the slope of the calibration curve was close to 1, and the Hosmer Lemeshow goodness of fit test shows good consistency between the predicted probability of the nomogram and the actual observed results(P<0.05). Verification of cluster discrimination evaluation: the area under the ROC curve is 0.933 (95% CI: 0.864 -1.000). Verification set consistency evaluation: the slope of the calibration curve is close to 1, and the Hosmer-Lemeshow goodness of fit test shows good consistency between the predicted probability of the nomogram and the actual observed results. [Conclusion] Elderly type 2 diabetes patients are prone to comorbid frailty, with gender is female, stroke, depressive symptoms and high risk of falls are associated with comorbid frailty in elderly type 2 diabetes patients, and a nomogram constructed based on the above four independent risk factors has good predictive efficacy for comorbid frailty in elderly type 2 diabetes patients. |
| format | Article |
| id | doaj-art-d6edbfe697334387a0da7b57864f83a9 |
| institution | Kabale University |
| issn | 1674-7593 |
| language | zho |
| publishDate | 2025-03-01 |
| publisher | Editorial Office of International Journal of Geriatrics |
| record_format | Article |
| series | Guoji laonian yixue zazhi |
| spelling | doaj-art-d6edbfe697334387a0da7b57864f83a92025-08-20T03:39:54ZzhoEditorial Office of International Journal of GeriatricsGuoji laonian yixue zazhi1674-75932025-03-0146216216810.3969/j.issn.1674-7593.2025.02.007Analysis of risk factors of elderly patients with type 2 diabetes complicatedwith frailty and establishment of prediction modelWang Zhuo0Zheng Haifeng1Liang Linlang2Department of Endocrine, General Hospital of Nothern Theater Command, Shenyang 110016Department of Ankle, Affiliated Central Hospital of Shenyang Medical College, Shenyang 110075Department of Endocrine, General Hospital of Nothern Theater Command, Shenyang 110016[Objective] To analyze the risk factors of elderly patients with type 2 diabetes complicated with frailty, and construct a nomogram. [Methods] A total of 152 elderly type 2 diabetes patients admitted to General Hospital of Nothern Theater Command of the People’s Liberation Army of China from November 2023 to January 2024 were selected, including 106 in the training set and 46 in the validation set. Logistic regression model analysis was applied to screen for risk factors of frailty in elderly type 2 diabetes patients; R software was applied to draw nomogram, ROC curve, calibration curve and Hosmer Lemeshow goodness of fit test were used to assess nomogram performance. [Results] Among the 106 elderly type 2 diabetes patients, 33 cases (31.13%) had frailty, and 73 cases (68.87%) did not have frailty. The results of logistic regression analysis showed that gender is female, stroke, depressive symptoms and high risk of falls were independent risk factors for comorbid frailty in elderly type 2 diabetes patients (P<0.05). The evaluation of training set discrimination: the area under the ROC curve was 0.840 (95% CI: 0.765 - 0.915). Consistency of training set: the slope of the calibration curve was close to 1, and the Hosmer Lemeshow goodness of fit test shows good consistency between the predicted probability of the nomogram and the actual observed results(P<0.05). Verification of cluster discrimination evaluation: the area under the ROC curve is 0.933 (95% CI: 0.864 -1.000). Verification set consistency evaluation: the slope of the calibration curve is close to 1, and the Hosmer-Lemeshow goodness of fit test shows good consistency between the predicted probability of the nomogram and the actual observed results. [Conclusion] Elderly type 2 diabetes patients are prone to comorbid frailty, with gender is female, stroke, depressive symptoms and high risk of falls are associated with comorbid frailty in elderly type 2 diabetes patients, and a nomogram constructed based on the above four independent risk factors has good predictive efficacy for comorbid frailty in elderly type 2 diabetes patients.http://gwll.publish.founderss.cn/thesisDetails#10.3969/j.issn.1674-7593.2025.02.007&lang=entype 2 diabetesfrailtyrisk factorsprediction model |
| spellingShingle | Wang Zhuo Zheng Haifeng Liang Linlang Analysis of risk factors of elderly patients with type 2 diabetes complicatedwith frailty and establishment of prediction model Guoji laonian yixue zazhi type 2 diabetes frailty risk factors prediction model |
| title | Analysis of risk factors of elderly patients with type 2 diabetes complicatedwith frailty and establishment of prediction model |
| title_full | Analysis of risk factors of elderly patients with type 2 diabetes complicatedwith frailty and establishment of prediction model |
| title_fullStr | Analysis of risk factors of elderly patients with type 2 diabetes complicatedwith frailty and establishment of prediction model |
| title_full_unstemmed | Analysis of risk factors of elderly patients with type 2 diabetes complicatedwith frailty and establishment of prediction model |
| title_short | Analysis of risk factors of elderly patients with type 2 diabetes complicatedwith frailty and establishment of prediction model |
| title_sort | analysis of risk factors of elderly patients with type 2 diabetes complicatedwith frailty and establishment of prediction model |
| topic | type 2 diabetes frailty risk factors prediction model |
| url | http://gwll.publish.founderss.cn/thesisDetails#10.3969/j.issn.1674-7593.2025.02.007&lang=en |
| work_keys_str_mv | AT wangzhuo analysisofriskfactorsofelderlypatientswithtype2diabetescomplicatedwithfrailtyandestablishmentofpredictionmodel AT zhenghaifeng analysisofriskfactorsofelderlypatientswithtype2diabetescomplicatedwithfrailtyandestablishmentofpredictionmodel AT lianglinlang analysisofriskfactorsofelderlypatientswithtype2diabetescomplicatedwithfrailtyandestablishmentofpredictionmodel |