糖尿病肾病患者尿白蛋白与肌酐比值和经皮氧分压的相关性:一项初步研究
Abstract 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)....
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-06-01
|
| Series: | Journal of Diabetes |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/1753-0407.13385 |
| _version_ | 1797803149236371456 |
|---|---|
| author | Jin Sun Yang Huang Lanhua Li Hao Hu Yuanyuan Liu Xuelian Zhang Hao Zhang Binbin Pan |
| author_facet | Jin Sun Yang Huang Lanhua Li Hao Hu Yuanyuan Liu Xuelian Zhang Hao Zhang Binbin Pan |
| author_sort | Jin Sun |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-13T05:16:29Z |
| format | Article |
| id | doaj.art-c42189f52f1b467eb43e16598588ad3b |
| institution | Directory Open Access Journal |
| issn | 1753-0393 1753-0407 |
| language | English |
| last_indexed | 2024-03-13T05:16:29Z |
| publishDate | 2023-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Diabetes |
| spelling | doaj.art-c42189f52f1b467eb43e16598588ad3b2023-06-15T23:15:56ZengWileyJournal of Diabetes1753-03931753-04072023-06-0115648849510.1111/1753-0407.13385糖尿病肾病患者尿白蛋白与肌酐比值和经皮氧分压的相关性:一项初步研究Jin Sun0Yang Huang1Lanhua Li2Hao Hu3Yuanyuan Liu4Xuelian Zhang5Hao Zhang6Binbin Pan7Department of Endocrinology Xuzhou First People's Hospital, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University Xuzhou People's Republic of ChinaDepartment of Gerontology, Nanjing First Hospital Nanjing Medical University Nanjing People's Republic of ChinaDepartment of Nuclear Medicine, Nanjing First Hospital Nanjing Medical University Nanjing People's Republic of ChinaDepartment of Endocrinology Xuzhou First People's Hospital, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University Xuzhou People's Republic of ChinaDepartment of Endocrinology Xuzhou First People's Hospital, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University Xuzhou People's Republic of ChinaDepartment of Endocrinology Xuzhou First People's Hospital, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University Xuzhou People's Republic of ChinaDepartment of Nephrology, Nanjing First Hospital Nanjing Medical University Nanjing People's Republic of ChinaDepartment of Nephrology, Nanjing First Hospital Nanjing Medical University Nanjing People's Republic of ChinaAbstract 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.https://doi.org/10.1111/1753-0407.13385经皮氧分压尿白蛋白与肌酐比值糖尿病肾病微循环 |
| spellingShingle | Jin Sun Yang Huang Lanhua Li Hao Hu Yuanyuan Liu Xuelian Zhang Hao Zhang Binbin Pan 糖尿病肾病患者尿白蛋白与肌酐比值和经皮氧分压的相关性:一项初步研究 Journal of Diabetes 经皮氧分压 尿白蛋白与肌酐比值 糖尿病肾病 微循环 |
| title | 糖尿病肾病患者尿白蛋白与肌酐比值和经皮氧分压的相关性:一项初步研究 |
| title_full | 糖尿病肾病患者尿白蛋白与肌酐比值和经皮氧分压的相关性:一项初步研究 |
| title_fullStr | 糖尿病肾病患者尿白蛋白与肌酐比值和经皮氧分压的相关性:一项初步研究 |
| title_full_unstemmed | 糖尿病肾病患者尿白蛋白与肌酐比值和经皮氧分压的相关性:一项初步研究 |
| title_short | 糖尿病肾病患者尿白蛋白与肌酐比值和经皮氧分压的相关性:一项初步研究 |
| title_sort | 糖尿病肾病患者尿白蛋白与肌酐比值和经皮氧分压的相关性 一项初步研究 |
| topic | 经皮氧分压 尿白蛋白与肌酐比值 糖尿病肾病 微循环 |
| url | https://doi.org/10.1111/1753-0407.13385 |
| work_keys_str_mv | AT jinsun tángniàobìngshènbìnghuànzhěniàobáidànbáiyǔjīgānbǐzhíhéjīngpíyǎngfēnyādexiāngguānxìngyīxiàngchūbùyánjiū AT yanghuang tángniàobìngshènbìnghuànzhěniàobáidànbáiyǔjīgānbǐzhíhéjīngpíyǎngfēnyādexiāngguānxìngyīxiàngchūbùyánjiū AT lanhuali tángniàobìngshènbìnghuànzhěniàobáidànbáiyǔjīgānbǐzhíhéjīngpíyǎngfēnyādexiāngguānxìngyīxiàngchūbùyánjiū AT haohu tángniàobìngshènbìnghuànzhěniàobáidànbáiyǔjīgānbǐzhíhéjīngpíyǎngfēnyādexiāngguānxìngyīxiàngchūbùyánjiū AT yuanyuanliu tángniàobìngshènbìnghuànzhěniàobáidànbáiyǔjīgānbǐzhíhéjīngpíyǎngfēnyādexiāngguānxìngyīxiàngchūbùyánjiū AT xuelianzhang tángniàobìngshènbìnghuànzhěniàobáidànbáiyǔjīgānbǐzhíhéjīngpíyǎngfēnyādexiāngguānxìngyīxiàngchūbùyánjiū AT haozhang tángniàobìngshènbìnghuànzhěniàobáidànbáiyǔjīgānbǐzhíhéjīngpíyǎngfēnyādexiāngguānxìngyīxiàngchūbùyánjiū AT binbinpan tángniàobìngshènbìnghuànzhěniàobáidànbáiyǔjīgānbǐzhíhéjīngpíyǎngfēnyādexiāngguānxìngyīxiàngchūbùyánjiū |