Development and Validation of a Risk Prediction Model for Foot Ulcers in Diabetic Patients
Copyright © 2023 Jing Lv et al..
Background: The current study analyzed the status and the factors of foot ulcers in diabetic patients and developed a nomogram and web calculator for the risk prediction model of diabetic foot ulcers.
Methods: This was a prospective cohort study that used cluster sampling to enroll diabetic patients in the Department of Endocrinology and Metabolism in a tertiary hospital in Chengdu from July 2015 to February 2020. The risk factors for diabetic foot ulcers were obtained by logistic regression analysis. Nomogram and web calculator for the risk prediction model were constructed by R software.
Results: The incidence of foot ulcers was 12.4% (302/2432). Logistic stepwise regression analysis showed that BMI (OR: 1.059; 95% CI 1.021-1.099), abnormal foot skin color (OR: 1.450; 95% CI 1.011-2.080), foot arterial pulse (OR: 1.488; 95% CI: 1.242-1.778), callus (OR: 2.924; 95%: CI 2.133-4.001), and history of ulcer (OR: 3.648; 95% CI: 2.133-5.191) were risk factors for foot ulcers. The nomogram and web calculator model were developed according to risk predictors. The performance of the model was tested, and the testing data were as follows: AUC (area under curve) of the primary cohort was 0.741 (95% CI: 0.7022-0.7799), and AUC of the validation cohort was 0.787 (95% CI: 0.7342-0.8407); the Brier score of the primary cohort was 0.098, and the Brier score of the validation cohort was 0.087.
Conclusions: The incidence of diabetic foot ulcers was high, especially in diabetic patients with a history of foot ulcers. This study presented a nomogram and web calculator that incorporates BMI, abnormal foot skin color, foot arterial pulse, callus, and history of foot ulcers, which can be conveniently used to facilitate the individualized prediction of diabetic foot ulcers.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:2023 |
|---|---|
| Enthalten in: |
Journal of diabetes research - 2023(2023) vom: 21., Seite 1199885 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Lv, Jing [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Completed 28.02.2023 Date Revised 28.02.2023 published: Electronic-eCollection Citation Status MEDLINE |
|---|
| doi: |
10.1155/2023/1199885 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM353526347 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM353526347 | ||
| 003 | DE-627 | ||
| 005 | 20231226060214.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1155/2023/1199885 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1178.xml |
| 035 | |a (DE-627)NLM353526347 | ||
| 035 | |a (NLM)36846514 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Lv, Jing |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Development and Validation of a Risk Prediction Model for Foot Ulcers in Diabetic Patients |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 28.02.2023 | ||
| 500 | |a Date Revised 28.02.2023 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023 Jing Lv et al. | ||
| 520 | |a Background: The current study analyzed the status and the factors of foot ulcers in diabetic patients and developed a nomogram and web calculator for the risk prediction model of diabetic foot ulcers | ||
| 520 | |a Methods: This was a prospective cohort study that used cluster sampling to enroll diabetic patients in the Department of Endocrinology and Metabolism in a tertiary hospital in Chengdu from July 2015 to February 2020. The risk factors for diabetic foot ulcers were obtained by logistic regression analysis. Nomogram and web calculator for the risk prediction model were constructed by R software | ||
| 520 | |a Results: The incidence of foot ulcers was 12.4% (302/2432). Logistic stepwise regression analysis showed that BMI (OR: 1.059; 95% CI 1.021-1.099), abnormal foot skin color (OR: 1.450; 95% CI 1.011-2.080), foot arterial pulse (OR: 1.488; 95% CI: 1.242-1.778), callus (OR: 2.924; 95%: CI 2.133-4.001), and history of ulcer (OR: 3.648; 95% CI: 2.133-5.191) were risk factors for foot ulcers. The nomogram and web calculator model were developed according to risk predictors. The performance of the model was tested, and the testing data were as follows: AUC (area under curve) of the primary cohort was 0.741 (95% CI: 0.7022-0.7799), and AUC of the validation cohort was 0.787 (95% CI: 0.7342-0.8407); the Brier score of the primary cohort was 0.098, and the Brier score of the validation cohort was 0.087 | ||
| 520 | |a Conclusions: The incidence of diabetic foot ulcers was high, especially in diabetic patients with a history of foot ulcers. This study presented a nomogram and web calculator that incorporates BMI, abnormal foot skin color, foot arterial pulse, callus, and history of foot ulcers, which can be conveniently used to facilitate the individualized prediction of diabetic foot ulcers | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Li, Rao |e verfasserin |4 aut | |
| 700 | 1 | |a Yuan, Li |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Feng-Mei |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Yi |e verfasserin |4 aut | |
| 700 | 1 | |a He, Ting |e verfasserin |4 aut | |
| 700 | 1 | |a Ye, Zi-Wei |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Journal of diabetes research |d 2013 |g 2023(2023) vom: 21., Seite 1199885 |w (DE-627)NLM227475798 |x 2314-6753 |7 nnns |
| 773 | 1 | 8 | |g volume:2023 |g year:2023 |g day:21 |g pages:1199885 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1155/2023/1199885 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 2023 |j 2023 |b 21 |h 1199885 | ||