{"title":"透析前糖尿病肾病患者平均血糖估算公式评估","authors":"Yi Lu, Xiangyu Wang, Qian Zhang, Yaoming Xue","doi":"10.1007/s13410-023-01305-1","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Objective</h3><p>Estimation of average glucose (AG) from hemoglobin A1c (HbA1c) helps guide diabetes management, and thus several AG-HbA1c equations have been constructed. However, it is not clear whether estimated AG calculated from existing AG-HbA1c equations could evaluate glycemic control in patients diabetic kidney disease (DKD) before dialysis. This study is aimed at evaluating the accuracy of estimated AG which is calculated from existing equations to assess glycemic control in DKD before dialysis. Additionally, we examined the relationship between AG and HbA1c in DKD before dialysis.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>In this retrospective study, we collected data of 71 Chinese patients with DKD before dialysis who had a complete flash glucose monitoring (FGM) data during hospitalization in a single center between August 2018 and August 2021 by casually sampling. Measured AG was derived from the FGM system and compared to estimated AG derived from a frequently used AG-HbA1c equation (that developed in ADAG study), in addition to a formula established in CKD (that of ADAG-CKD equation). Performance of AG-HbA1c equations was evaluated by mean absolute difference (MAD)/mean absolute relative difference (MARD) and Bland–Altman test. Linear regression analysis was used to investigate the relationship of AG and HbA1c in DKD before dialysis.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Among the 71 DKD before dialysis, 80% were type 2 diabetes. The mean age was 57 ± 13.8 years, and mean eGFR was 66.3 ± 32.3 mL.min/(1.73 m<sup>2</sup>). Mean HbA1c was 8.4 ± 2.2 (%), and measured AG was 150.2 ± 40.3 (mg/dL). Measured AG was significantly overestimated by equations ADAG and ADAG-CKD. Both ADAG and ADAG-CKD equations did not reflect the measured AG accurately (MAD 2.42 vs. 3.42 mmol/L; MARD 33.3% vs. 46.7%, respectively; <i>p</i> < 0.01). We examined the relationship between AG and HbA1c in DKD before dialysis as follows: AG (mmol/L) = 0.48 × HbA1c (%) + 4.36. In addition, using multiple regression analysis, HbA1c, diabetes type, body mass index (BMI), and CKD stage explained 42% of the variability in measured AG (<i>r</i> = 0.68, <i>R</i><sup>2</sup> = 0.42, <i>p</i> < 0.01).</p><h3 data-test=\"abstract-sub-heading\">Conclusions</h3><p>HbA1c-derived estimated AG from existing equations may not accurately reflect measured AG in patients with DKD before dialysis. Diabetes type, BMI, and CKD stage should be considered when translating HbA1c into AG value in DKD before dialysis. It is advisable to adjust the AG-HbA1c equations for target population.</p>","PeriodicalId":50328,"journal":{"name":"International Journal of Diabetes in Developing Countries","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of equations estimating average glucose among patients with diabetic kidney disease before dialysis\",\"authors\":\"Yi Lu, Xiangyu Wang, Qian Zhang, Yaoming Xue\",\"doi\":\"10.1007/s13410-023-01305-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Objective</h3><p>Estimation of average glucose (AG) from hemoglobin A1c (HbA1c) helps guide diabetes management, and thus several AG-HbA1c equations have been constructed. However, it is not clear whether estimated AG calculated from existing AG-HbA1c equations could evaluate glycemic control in patients diabetic kidney disease (DKD) before dialysis. This study is aimed at evaluating the accuracy of estimated AG which is calculated from existing equations to assess glycemic control in DKD before dialysis. Additionally, we examined the relationship between AG and HbA1c in DKD before dialysis.</p><h3 data-test=\\\"abstract-sub-heading\\\">Methods</h3><p>In this retrospective study, we collected data of 71 Chinese patients with DKD before dialysis who had a complete flash glucose monitoring (FGM) data during hospitalization in a single center between August 2018 and August 2021 by casually sampling. Measured AG was derived from the FGM system and compared to estimated AG derived from a frequently used AG-HbA1c equation (that developed in ADAG study), in addition to a formula established in CKD (that of ADAG-CKD equation). Performance of AG-HbA1c equations was evaluated by mean absolute difference (MAD)/mean absolute relative difference (MARD) and Bland–Altman test. Linear regression analysis was used to investigate the relationship of AG and HbA1c in DKD before dialysis.</p><h3 data-test=\\\"abstract-sub-heading\\\">Results</h3><p>Among the 71 DKD before dialysis, 80% were type 2 diabetes. The mean age was 57 ± 13.8 years, and mean eGFR was 66.3 ± 32.3 mL.min/(1.73 m<sup>2</sup>). Mean HbA1c was 8.4 ± 2.2 (%), and measured AG was 150.2 ± 40.3 (mg/dL). Measured AG was significantly overestimated by equations ADAG and ADAG-CKD. Both ADAG and ADAG-CKD equations did not reflect the measured AG accurately (MAD 2.42 vs. 3.42 mmol/L; MARD 33.3% vs. 46.7%, respectively; <i>p</i> < 0.01). We examined the relationship between AG and HbA1c in DKD before dialysis as follows: AG (mmol/L) = 0.48 × HbA1c (%) + 4.36. In addition, using multiple regression analysis, HbA1c, diabetes type, body mass index (BMI), and CKD stage explained 42% of the variability in measured AG (<i>r</i> = 0.68, <i>R</i><sup>2</sup> = 0.42, <i>p</i> < 0.01).</p><h3 data-test=\\\"abstract-sub-heading\\\">Conclusions</h3><p>HbA1c-derived estimated AG from existing equations may not accurately reflect measured AG in patients with DKD before dialysis. Diabetes type, BMI, and CKD stage should be considered when translating HbA1c into AG value in DKD before dialysis. It is advisable to adjust the AG-HbA1c equations for target population.</p>\",\"PeriodicalId\":50328,\"journal\":{\"name\":\"International Journal of Diabetes in Developing Countries\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2024-01-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Diabetes in Developing Countries\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s13410-023-01305-1\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Diabetes in Developing Countries","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s13410-023-01305-1","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Assessment of equations estimating average glucose among patients with diabetic kidney disease before dialysis
Objective
Estimation of average glucose (AG) from hemoglobin A1c (HbA1c) helps guide diabetes management, and thus several AG-HbA1c equations have been constructed. However, it is not clear whether estimated AG calculated from existing AG-HbA1c equations could evaluate glycemic control in patients diabetic kidney disease (DKD) before dialysis. This study is aimed at evaluating the accuracy of estimated AG which is calculated from existing equations to assess glycemic control in DKD before dialysis. Additionally, we examined the relationship between AG and HbA1c in DKD before dialysis.
Methods
In this retrospective study, we collected data of 71 Chinese patients with DKD before dialysis who had a complete flash glucose monitoring (FGM) data during hospitalization in a single center between August 2018 and August 2021 by casually sampling. Measured AG was derived from the FGM system and compared to estimated AG derived from a frequently used AG-HbA1c equation (that developed in ADAG study), in addition to a formula established in CKD (that of ADAG-CKD equation). Performance of AG-HbA1c equations was evaluated by mean absolute difference (MAD)/mean absolute relative difference (MARD) and Bland–Altman test. Linear regression analysis was used to investigate the relationship of AG and HbA1c in DKD before dialysis.
Results
Among the 71 DKD before dialysis, 80% were type 2 diabetes. The mean age was 57 ± 13.8 years, and mean eGFR was 66.3 ± 32.3 mL.min/(1.73 m2). Mean HbA1c was 8.4 ± 2.2 (%), and measured AG was 150.2 ± 40.3 (mg/dL). Measured AG was significantly overestimated by equations ADAG and ADAG-CKD. Both ADAG and ADAG-CKD equations did not reflect the measured AG accurately (MAD 2.42 vs. 3.42 mmol/L; MARD 33.3% vs. 46.7%, respectively; p < 0.01). We examined the relationship between AG and HbA1c in DKD before dialysis as follows: AG (mmol/L) = 0.48 × HbA1c (%) + 4.36. In addition, using multiple regression analysis, HbA1c, diabetes type, body mass index (BMI), and CKD stage explained 42% of the variability in measured AG (r = 0.68, R2 = 0.42, p < 0.01).
Conclusions
HbA1c-derived estimated AG from existing equations may not accurately reflect measured AG in patients with DKD before dialysis. Diabetes type, BMI, and CKD stage should be considered when translating HbA1c into AG value in DKD before dialysis. It is advisable to adjust the AG-HbA1c equations for target population.
期刊介绍:
International Journal of Diabetes in Developing Countries is the official journal of Research Society for the Study of Diabetes in India. This is a peer reviewed journal and targets a readership consisting of clinicians, research workers, paramedical personnel, nutritionists and health care personnel working in the field of diabetes. Original research articles focusing on clinical and patient care issues including newer therapies and technologies as well as basic science issues in this field are considered for publication in the journal. Systematic reviews of interest to the above group of readers are also accepted.