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Impact of acute hyperglycemic crisis episode on survival in individuals with diabetic foot ulcer using a machine learning approach

OBJECTIVE: The outcome of DFUs concomitant with HCE remains unknown. This study aimed to investigate mortality rates and identify risk factors of mortality in patients with DFUs-HCE. METHODS: 27 inpatients with DFUs-HCE were retrospectively enrolled in a cohort design, they were compared to 93 inpat...

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Autores principales: Deng, Liling, Xie, Puguang, Chen, Yan, Rui, Shunli, Yang, Cheng, Deng, Bo, Wang, Min, Armstrong, David G., Ma, Yu, Deng, Wuquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452661/
https://www.ncbi.nlm.nih.gov/pubmed/36093085
http://dx.doi.org/10.3389/fendo.2022.974063
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author Deng, Liling
Xie, Puguang
Chen, Yan
Rui, Shunli
Yang, Cheng
Deng, Bo
Wang, Min
Armstrong, David G.
Ma, Yu
Deng, Wuquan
author_facet Deng, Liling
Xie, Puguang
Chen, Yan
Rui, Shunli
Yang, Cheng
Deng, Bo
Wang, Min
Armstrong, David G.
Ma, Yu
Deng, Wuquan
author_sort Deng, Liling
collection PubMed
description OBJECTIVE: The outcome of DFUs concomitant with HCE remains unknown. This study aimed to investigate mortality rates and identify risk factors of mortality in patients with DFUs-HCE. METHODS: 27 inpatients with DFUs-HCE were retrospectively enrolled in a cohort design, they were compared to 93 inpatients with DFUs in a city designated emergency center, between January 2016 and January 2021. After a 6-year followed-up, clinical characteristic, amputation and survival rates were compared. Extreme gradient boosting was further used to explore the relative importance of HCE and other risk factors to all-cause mortality in DFUs. RESULTS: Patients with DFUs-HCE were more likely to havedementia, acute kidney injury and septic shock, whereas DFUs were more likely to have diabetic peripheral neuropathy and ulcer recurrence (P<0.05). No significant difference was observed on the amputation rate and diabetes duration. Both Kaplan-Meier curves and adjusted Cox proportional model revealed that DFUs-HCE was associated with a higher mortality compared with DFUs (P<0.05). HCE significantly increased the risk of mortality in patients with DFUs (hazard ratio, 1.941; 95% CI 1.018-3.700; P = 0.044) and was independent from other confounding factors (age, sex, diabetes duration, Wagner grades and Charlson Comorbidity Index). The XGBoost model also revealed that HCE was one of the most important risk factors associated with all-cause mortality in patients with DFUs. CONCLUSIONS: DFUs-HCE had significantly lower immediate survival rates (first 1-6 month) than DFUs alone. HCE is an important risk factor for death in DFUs patients.
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spelling pubmed-94526612022-09-09 Impact of acute hyperglycemic crisis episode on survival in individuals with diabetic foot ulcer using a machine learning approach Deng, Liling Xie, Puguang Chen, Yan Rui, Shunli Yang, Cheng Deng, Bo Wang, Min Armstrong, David G. Ma, Yu Deng, Wuquan Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: The outcome of DFUs concomitant with HCE remains unknown. This study aimed to investigate mortality rates and identify risk factors of mortality in patients with DFUs-HCE. METHODS: 27 inpatients with DFUs-HCE were retrospectively enrolled in a cohort design, they were compared to 93 inpatients with DFUs in a city designated emergency center, between January 2016 and January 2021. After a 6-year followed-up, clinical characteristic, amputation and survival rates were compared. Extreme gradient boosting was further used to explore the relative importance of HCE and other risk factors to all-cause mortality in DFUs. RESULTS: Patients with DFUs-HCE were more likely to havedementia, acute kidney injury and septic shock, whereas DFUs were more likely to have diabetic peripheral neuropathy and ulcer recurrence (P<0.05). No significant difference was observed on the amputation rate and diabetes duration. Both Kaplan-Meier curves and adjusted Cox proportional model revealed that DFUs-HCE was associated with a higher mortality compared with DFUs (P<0.05). HCE significantly increased the risk of mortality in patients with DFUs (hazard ratio, 1.941; 95% CI 1.018-3.700; P = 0.044) and was independent from other confounding factors (age, sex, diabetes duration, Wagner grades and Charlson Comorbidity Index). The XGBoost model also revealed that HCE was one of the most important risk factors associated with all-cause mortality in patients with DFUs. CONCLUSIONS: DFUs-HCE had significantly lower immediate survival rates (first 1-6 month) than DFUs alone. HCE is an important risk factor for death in DFUs patients. Frontiers Media S.A. 2022-08-25 /pmc/articles/PMC9452661/ /pubmed/36093085 http://dx.doi.org/10.3389/fendo.2022.974063 Text en Copyright © 2022 Deng, Xie, Chen, Rui, Yang, Deng, Wang, Armstrong, Ma and Deng https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Deng, Liling
Xie, Puguang
Chen, Yan
Rui, Shunli
Yang, Cheng
Deng, Bo
Wang, Min
Armstrong, David G.
Ma, Yu
Deng, Wuquan
Impact of acute hyperglycemic crisis episode on survival in individuals with diabetic foot ulcer using a machine learning approach
title Impact of acute hyperglycemic crisis episode on survival in individuals with diabetic foot ulcer using a machine learning approach
title_full Impact of acute hyperglycemic crisis episode on survival in individuals with diabetic foot ulcer using a machine learning approach
title_fullStr Impact of acute hyperglycemic crisis episode on survival in individuals with diabetic foot ulcer using a machine learning approach
title_full_unstemmed Impact of acute hyperglycemic crisis episode on survival in individuals with diabetic foot ulcer using a machine learning approach
title_short Impact of acute hyperglycemic crisis episode on survival in individuals with diabetic foot ulcer using a machine learning approach
title_sort impact of acute hyperglycemic crisis episode on survival in individuals with diabetic foot ulcer using a machine learning approach
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452661/
https://www.ncbi.nlm.nih.gov/pubmed/36093085
http://dx.doi.org/10.3389/fendo.2022.974063
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