Cargando…

A potent weighted risk model for evaluating the occurrence and severity of diabetic foot ulcers

BACKGROUND: Diabetic foot ulcer (DFU) is a serious chronic complication of diabetes. This study aimed to establish weighted risk models for determining DFU occurrence and severity in diabetic patients. METHODS: This was a multi-center hospital-based cross-sectional study. A total of 1488 diabetic pa...

Descripción completa

Detalles Bibliográficos
Autores principales: Shi, Lu, Wei, Huiyi, Zhang, Tianxiao, Li, Zhiying, Chi, Xiaoxian, Liu, Dandan, Chang, Dandan, Zhang, Yueying, Wang, Xiaodan, Zhao, Qingbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407043/
https://www.ncbi.nlm.nih.gov/pubmed/34465375
http://dx.doi.org/10.1186/s13098-021-00711-x
_version_ 1783746584570232832
author Shi, Lu
Wei, Huiyi
Zhang, Tianxiao
Li, Zhiying
Chi, Xiaoxian
Liu, Dandan
Chang, Dandan
Zhang, Yueying
Wang, Xiaodan
Zhao, Qingbin
author_facet Shi, Lu
Wei, Huiyi
Zhang, Tianxiao
Li, Zhiying
Chi, Xiaoxian
Liu, Dandan
Chang, Dandan
Zhang, Yueying
Wang, Xiaodan
Zhao, Qingbin
author_sort Shi, Lu
collection PubMed
description BACKGROUND: Diabetic foot ulcer (DFU) is a serious chronic complication of diabetes. This study aimed to establish weighted risk models for determining DFU occurrence and severity in diabetic patients. METHODS: This was a multi-center hospital-based cross-sectional study. A total of 1488 diabetic patients with or without an ulcer from three tertiary hospitals were included in the study. Random forest method was used to develop weighted risk models for assessing DFU risk and severity. Receiver operating characteristic curves were used to validate the models and calculate the optimal cut-off values of the important risk factors. RESULTS: We developed potent weighted risk models for evaluating DFU occurrence and severity. The top eight important risk factors for DFU onset were plasma fibrinogen, neutrophil percentage and hemoglobin levels in whole blood, stroke, estimated glomerular filtration rate, age, duration of diabetes, and serum albumin levels. The top 10 important risk factors for DFU severity were serum albumin, neutrophil percentage and hemoglobin levels in whole blood, plasma fibrinogen, hemoglobin A1c, estimated glomerular filtration rate, hypertension, serum uric acid, diabetic retinopathy, and sex. Furthermore, the area under curve values in the models using plasma fibrinogen as a single risk factor for determining DFU risk and severity were 0.86 (sensitivity 0.74, specificity 0.87) and 0.73 (sensitivity 0.76, specificity 0.58), respectively. The optimal cut-off values of plasma fibrinogen for determining DFU risk and severity were 3.88 g/L and 4.74 g/L, respectively. CONCLUSIONS: We have established potent weighted risk models for DFU onset and severity, based on which precise prevention strategies can be formulated. Modification of important risk factors may help reduce the incidence and progression of DFUs in diabetic patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-021-00711-x.
format Online
Article
Text
id pubmed-8407043
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-84070432021-09-01 A potent weighted risk model for evaluating the occurrence and severity of diabetic foot ulcers Shi, Lu Wei, Huiyi Zhang, Tianxiao Li, Zhiying Chi, Xiaoxian Liu, Dandan Chang, Dandan Zhang, Yueying Wang, Xiaodan Zhao, Qingbin Diabetol Metab Syndr Research BACKGROUND: Diabetic foot ulcer (DFU) is a serious chronic complication of diabetes. This study aimed to establish weighted risk models for determining DFU occurrence and severity in diabetic patients. METHODS: This was a multi-center hospital-based cross-sectional study. A total of 1488 diabetic patients with or without an ulcer from three tertiary hospitals were included in the study. Random forest method was used to develop weighted risk models for assessing DFU risk and severity. Receiver operating characteristic curves were used to validate the models and calculate the optimal cut-off values of the important risk factors. RESULTS: We developed potent weighted risk models for evaluating DFU occurrence and severity. The top eight important risk factors for DFU onset were plasma fibrinogen, neutrophil percentage and hemoglobin levels in whole blood, stroke, estimated glomerular filtration rate, age, duration of diabetes, and serum albumin levels. The top 10 important risk factors for DFU severity were serum albumin, neutrophil percentage and hemoglobin levels in whole blood, plasma fibrinogen, hemoglobin A1c, estimated glomerular filtration rate, hypertension, serum uric acid, diabetic retinopathy, and sex. Furthermore, the area under curve values in the models using plasma fibrinogen as a single risk factor for determining DFU risk and severity were 0.86 (sensitivity 0.74, specificity 0.87) and 0.73 (sensitivity 0.76, specificity 0.58), respectively. The optimal cut-off values of plasma fibrinogen for determining DFU risk and severity were 3.88 g/L and 4.74 g/L, respectively. CONCLUSIONS: We have established potent weighted risk models for DFU onset and severity, based on which precise prevention strategies can be formulated. Modification of important risk factors may help reduce the incidence and progression of DFUs in diabetic patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-021-00711-x. BioMed Central 2021-08-31 /pmc/articles/PMC8407043/ /pubmed/34465375 http://dx.doi.org/10.1186/s13098-021-00711-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Shi, Lu
Wei, Huiyi
Zhang, Tianxiao
Li, Zhiying
Chi, Xiaoxian
Liu, Dandan
Chang, Dandan
Zhang, Yueying
Wang, Xiaodan
Zhao, Qingbin
A potent weighted risk model for evaluating the occurrence and severity of diabetic foot ulcers
title A potent weighted risk model for evaluating the occurrence and severity of diabetic foot ulcers
title_full A potent weighted risk model for evaluating the occurrence and severity of diabetic foot ulcers
title_fullStr A potent weighted risk model for evaluating the occurrence and severity of diabetic foot ulcers
title_full_unstemmed A potent weighted risk model for evaluating the occurrence and severity of diabetic foot ulcers
title_short A potent weighted risk model for evaluating the occurrence and severity of diabetic foot ulcers
title_sort potent weighted risk model for evaluating the occurrence and severity of diabetic foot ulcers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407043/
https://www.ncbi.nlm.nih.gov/pubmed/34465375
http://dx.doi.org/10.1186/s13098-021-00711-x
work_keys_str_mv AT shilu apotentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT weihuiyi apotentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT zhangtianxiao apotentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT lizhiying apotentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT chixiaoxian apotentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT liudandan apotentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT changdandan apotentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT zhangyueying apotentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT wangxiaodan apotentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT zhaoqingbin apotentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT shilu potentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT weihuiyi potentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT zhangtianxiao potentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT lizhiying potentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT chixiaoxian potentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT liudandan potentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT changdandan potentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT zhangyueying potentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT wangxiaodan potentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers
AT zhaoqingbin potentweightedriskmodelforevaluatingtheoccurrenceandseverityofdiabeticfootulcers