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Correlation of ACR and TcPO2 in diabetic kidney disease patients: A pilot study

OBJECTIVE: Transcutaneous oxygen pressure (TcPO2) is used to assess microcirculation clinically; however, it is not widely available especially in rural hospital. The study was designed to explore potential alternatively biomarkers to assess microcirculation in diabetic kidney disease (DKD). METHODS...

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Autores principales: Sun, Jin, Huang, Yang, Li, Lanhua, Hu, Hao, Liu, Yuanyuan, Zhang, Xuelian, Zhang, Hao, Pan, Binbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Publishing Asia Pty Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10270741/
https://www.ncbi.nlm.nih.gov/pubmed/37186455
http://dx.doi.org/10.1111/1753-0407.13385
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author Sun, Jin
Huang, Yang
Li, Lanhua
Hu, Hao
Liu, Yuanyuan
Zhang, Xuelian
Zhang, Hao
Pan, Binbin
author_facet Sun, Jin
Huang, Yang
Li, Lanhua
Hu, Hao
Liu, Yuanyuan
Zhang, Xuelian
Zhang, Hao
Pan, Binbin
author_sort Sun, Jin
collection PubMed
description OBJECTIVE: Transcutaneous oxygen pressure (TcPO2) is used to assess microcirculation clinically; however, it is not widely available especially in rural hospital. The study was designed to explore potential alternatively biomarkers to assess microcirculation in diabetic kidney disease (DKD). METHODS: A total of 404 patients from Xuzhou first hospital were recruited according to the case records system. Patients were grouped via the ratio of albuminuria and creatinine (ACR; <30 mg/g, 30−300 mg/g, >300 mg/g). Biomarkers in different ACR groups were compared by analysis of variance. Correlation analysis was determined by Pearson or Spearman analysis and binary logistic regression. The receiver operating characteristics (ROC) curve was performed to elucidate the prediction effect of ACR on TcPO2. RESULTS: A total of 404 diabetic patients were recruited with 248 patients diagnosed as DKD and 156 non‐DKDs. Age and cystatin C were significantly higher in the ACR3 group compared with those in the ACR1 group, whereas glomerular filtration rate, low‐density lipoprotein cholesterol, and TcPO2 were markedly decreased in the ACR3 group (p < .05). Frequency of low TcPO2 (<40 mm Hg) was markedly increased as increment of ACR stages with 30.2% in the ACR3 group (p < .01). There was a negative correlation between TcPO2 and age, ACR, chronic kidney disease (CKD), fast blood glucose, diabetes mellitus (DM) duration, and diabetic neuropathy. Further, binary logistic regression showed ACR was an independent influence factor for low TcPO2. After adjusting for age, gender, hypertension, DM duration, body mass index, glycated hemoglobin, diabetic neuropathy, and CKD, ACR was still an independent influence factor for TcPO2 (odds ratio = 2.464, p < .01). The area under the ROC curve was 0.768 (95% confidence interval: 0.700–0.836, p < .001) for ACR. The analysis of ROC curves revealed a best cutoff for ACR was 75.25 mg/g and yielded a sensitivity of 71.7% and a specificity of 71.7%. CONCLUSIONS: ACR could be used as an alternative biomarker for assessing microcirculation in DKD patients.
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spelling pubmed-102707412023-06-16 Correlation of ACR and TcPO2 in diabetic kidney disease patients: A pilot study Sun, Jin Huang, Yang Li, Lanhua Hu, Hao Liu, Yuanyuan Zhang, Xuelian Zhang, Hao Pan, Binbin J Diabetes Original Articles OBJECTIVE: Transcutaneous oxygen pressure (TcPO2) is used to assess microcirculation clinically; however, it is not widely available especially in rural hospital. The study was designed to explore potential alternatively biomarkers to assess microcirculation in diabetic kidney disease (DKD). METHODS: A total of 404 patients from Xuzhou first hospital were recruited according to the case records system. Patients were grouped via the ratio of albuminuria and creatinine (ACR; <30 mg/g, 30−300 mg/g, >300 mg/g). Biomarkers in different ACR groups were compared by analysis of variance. Correlation analysis was determined by Pearson or Spearman analysis and binary logistic regression. The receiver operating characteristics (ROC) curve was performed to elucidate the prediction effect of ACR on TcPO2. RESULTS: A total of 404 diabetic patients were recruited with 248 patients diagnosed as DKD and 156 non‐DKDs. Age and cystatin C were significantly higher in the ACR3 group compared with those in the ACR1 group, whereas glomerular filtration rate, low‐density lipoprotein cholesterol, and TcPO2 were markedly decreased in the ACR3 group (p < .05). Frequency of low TcPO2 (<40 mm Hg) was markedly increased as increment of ACR stages with 30.2% in the ACR3 group (p < .01). There was a negative correlation between TcPO2 and age, ACR, chronic kidney disease (CKD), fast blood glucose, diabetes mellitus (DM) duration, and diabetic neuropathy. Further, binary logistic regression showed ACR was an independent influence factor for low TcPO2. After adjusting for age, gender, hypertension, DM duration, body mass index, glycated hemoglobin, diabetic neuropathy, and CKD, ACR was still an independent influence factor for TcPO2 (odds ratio = 2.464, p < .01). The area under the ROC curve was 0.768 (95% confidence interval: 0.700–0.836, p < .001) for ACR. The analysis of ROC curves revealed a best cutoff for ACR was 75.25 mg/g and yielded a sensitivity of 71.7% and a specificity of 71.7%. CONCLUSIONS: ACR could be used as an alternative biomarker for assessing microcirculation in DKD patients. Wiley Publishing Asia Pty Ltd 2023-04-25 /pmc/articles/PMC10270741/ /pubmed/37186455 http://dx.doi.org/10.1111/1753-0407.13385 Text en © 2023 The Authors. Journal of Diabetes published by Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Sun, Jin
Huang, Yang
Li, Lanhua
Hu, Hao
Liu, Yuanyuan
Zhang, Xuelian
Zhang, Hao
Pan, Binbin
Correlation of ACR and TcPO2 in diabetic kidney disease patients: A pilot study
title Correlation of ACR and TcPO2 in diabetic kidney disease patients: A pilot study
title_full Correlation of ACR and TcPO2 in diabetic kidney disease patients: A pilot study
title_fullStr Correlation of ACR and TcPO2 in diabetic kidney disease patients: A pilot study
title_full_unstemmed Correlation of ACR and TcPO2 in diabetic kidney disease patients: A pilot study
title_short Correlation of ACR and TcPO2 in diabetic kidney disease patients: A pilot study
title_sort correlation of acr and tcpo2 in diabetic kidney disease patients: a pilot study
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10270741/
https://www.ncbi.nlm.nih.gov/pubmed/37186455
http://dx.doi.org/10.1111/1753-0407.13385
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