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The analysis of risk factors for diabetic kidney disease progression: a single-centre and cross-sectional experiment in Shanghai

OBJECTIVE: To identify the risk factors for diabetic kidney disease (DKD) development, especially the difference between patients with different courses. PATIENTS AND METHODS: 791 patients were considered to be eligible and were enrolled in the cross-sectional study from Shanghai Tongren Hospital In...

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Autores principales: Liu, Wen, Du, Juan, Ge, Xiaoxu, Jiang, Xiaohong, Peng, Wenfang, Zhao, Nan, Shen, Lisha, Xia, Lili, Hu, Fan, Huang, Shan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240884/
https://www.ncbi.nlm.nih.gov/pubmed/35768116
http://dx.doi.org/10.1136/bmjopen-2021-060238
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author Liu, Wen
Du, Juan
Ge, Xiaoxu
Jiang, Xiaohong
Peng, Wenfang
Zhao, Nan
Shen, Lisha
Xia, Lili
Hu, Fan
Huang, Shan
author_facet Liu, Wen
Du, Juan
Ge, Xiaoxu
Jiang, Xiaohong
Peng, Wenfang
Zhao, Nan
Shen, Lisha
Xia, Lili
Hu, Fan
Huang, Shan
author_sort Liu, Wen
collection PubMed
description OBJECTIVE: To identify the risk factors for diabetic kidney disease (DKD) development, especially the difference between patients with different courses. PATIENTS AND METHODS: 791 patients were considered to be eligible and were enrolled in the cross-sectional study from Shanghai Tongren Hospital Inpatient Department. 36 variables were initially screened by univariate analysis. The risk factors affecting progression of DKD were determined by logistics regression analysis. Subgroups were grouped according to the course of diabetes disease, and multivariate logistics regression analysis was performed to find out the different risk factors in two subgroups. Finally, the receiver operating characteristics curve is used to verify the result. RESULTS: The logistic regression model indicated age (OR=1.020, p=0.017, 95% CI 1.004 to 1.040), systolic blood pressure (OR=1.013, p=0.006, 95% CI 1.004 to 1.022), waist circumference (OR=1.021, p=0.015, 95% CI 1.004 to 1.038), white blood cells (WBC, OR=1.185, p=0.001, 95% CI 1.085 to 1.295) and triglycerides (TG, OR=1.110, p=0.047, 95% CI 1.001 to 1.230) were risk factors for DKD, while free triiodothyronine (fT3, OR=0.711, p=0.011, 95% CI 0.547 to 0.926) was a protective factor for DKD in patients with type 2 diabetes mellitus (T2DM). Subgroup analysis revealed that in patients with a short duration of diabetes (<8 years), WBC (OR=1.306, p<0.001, 95% CI 1.157 to 1.475) and TG (OR=1.188, p=0.033, 95% CI 1.014 to 1.393) were risk factors for DKD, fT3 (OR=0.544, p=0.002, 95% CI 0.367 to 0.804) was a protective factor for DKD; whereas for patients with disease course more than 8 years, age (OR=1.026, Pp=0.012, 95%CI=95% CI[ 1.006– to 1.048]) was identified as the only risk factor for DKD and fT3 (OR=0.036, Pp=0.017, 95%CI=95% CI[ 0.439– to 0.922]) was a protective factor for DKD. CONCLUSION: The focus of attention should especially be on patients with a prolonged course of T2DM, and those with comorbid hypertension and hypertriglyceridaemia waist phenotype. More potential clinical indexes such as thyroid function and inflammatory indicators might be considered as early warning factors for DKD in T2DM. Women should pay attention to controlling inflammation and TGs, and men should strictly control blood pressure. Avoiding abdominal obesity in both men and women will bring great benefits.
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spelling pubmed-92408842022-07-20 The analysis of risk factors for diabetic kidney disease progression: a single-centre and cross-sectional experiment in Shanghai Liu, Wen Du, Juan Ge, Xiaoxu Jiang, Xiaohong Peng, Wenfang Zhao, Nan Shen, Lisha Xia, Lili Hu, Fan Huang, Shan BMJ Open Diabetes and Endocrinology OBJECTIVE: To identify the risk factors for diabetic kidney disease (DKD) development, especially the difference between patients with different courses. PATIENTS AND METHODS: 791 patients were considered to be eligible and were enrolled in the cross-sectional study from Shanghai Tongren Hospital Inpatient Department. 36 variables were initially screened by univariate analysis. The risk factors affecting progression of DKD were determined by logistics regression analysis. Subgroups were grouped according to the course of diabetes disease, and multivariate logistics regression analysis was performed to find out the different risk factors in two subgroups. Finally, the receiver operating characteristics curve is used to verify the result. RESULTS: The logistic regression model indicated age (OR=1.020, p=0.017, 95% CI 1.004 to 1.040), systolic blood pressure (OR=1.013, p=0.006, 95% CI 1.004 to 1.022), waist circumference (OR=1.021, p=0.015, 95% CI 1.004 to 1.038), white blood cells (WBC, OR=1.185, p=0.001, 95% CI 1.085 to 1.295) and triglycerides (TG, OR=1.110, p=0.047, 95% CI 1.001 to 1.230) were risk factors for DKD, while free triiodothyronine (fT3, OR=0.711, p=0.011, 95% CI 0.547 to 0.926) was a protective factor for DKD in patients with type 2 diabetes mellitus (T2DM). Subgroup analysis revealed that in patients with a short duration of diabetes (<8 years), WBC (OR=1.306, p<0.001, 95% CI 1.157 to 1.475) and TG (OR=1.188, p=0.033, 95% CI 1.014 to 1.393) were risk factors for DKD, fT3 (OR=0.544, p=0.002, 95% CI 0.367 to 0.804) was a protective factor for DKD; whereas for patients with disease course more than 8 years, age (OR=1.026, Pp=0.012, 95%CI=95% CI[ 1.006– to 1.048]) was identified as the only risk factor for DKD and fT3 (OR=0.036, Pp=0.017, 95%CI=95% CI[ 0.439– to 0.922]) was a protective factor for DKD. CONCLUSION: The focus of attention should especially be on patients with a prolonged course of T2DM, and those with comorbid hypertension and hypertriglyceridaemia waist phenotype. More potential clinical indexes such as thyroid function and inflammatory indicators might be considered as early warning factors for DKD in T2DM. Women should pay attention to controlling inflammation and TGs, and men should strictly control blood pressure. Avoiding abdominal obesity in both men and women will bring great benefits. BMJ Publishing Group 2022-06-28 /pmc/articles/PMC9240884/ /pubmed/35768116 http://dx.doi.org/10.1136/bmjopen-2021-060238 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Diabetes and Endocrinology
Liu, Wen
Du, Juan
Ge, Xiaoxu
Jiang, Xiaohong
Peng, Wenfang
Zhao, Nan
Shen, Lisha
Xia, Lili
Hu, Fan
Huang, Shan
The analysis of risk factors for diabetic kidney disease progression: a single-centre and cross-sectional experiment in Shanghai
title The analysis of risk factors for diabetic kidney disease progression: a single-centre and cross-sectional experiment in Shanghai
title_full The analysis of risk factors for diabetic kidney disease progression: a single-centre and cross-sectional experiment in Shanghai
title_fullStr The analysis of risk factors for diabetic kidney disease progression: a single-centre and cross-sectional experiment in Shanghai
title_full_unstemmed The analysis of risk factors for diabetic kidney disease progression: a single-centre and cross-sectional experiment in Shanghai
title_short The analysis of risk factors for diabetic kidney disease progression: a single-centre and cross-sectional experiment in Shanghai
title_sort analysis of risk factors for diabetic kidney disease progression: a single-centre and cross-sectional experiment in shanghai
topic Diabetes and Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240884/
https://www.ncbi.nlm.nih.gov/pubmed/35768116
http://dx.doi.org/10.1136/bmjopen-2021-060238
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