Comparative Determination of Glomerular Filtration Rate Estimation Formulae in Type 2 Diabetic Patients: An Observational Study.

IF 2.6 3区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY BioMed Research International Pub Date : 2024-06-10 eCollection Date: 2024-01-01 DOI:10.1155/2024/9532236
Emmanuel Kwaku Ofori, Irene Nketiah-Dwomo, Emmanuel Aryee Tagoe, Seth Kwabena Amponsah, Ismaila Adams, Eric Nana Yaw Nyarko, Seth Dortey Amanquah
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Abstract

Assessing glomerular filtration rate (GFR) involves collecting timed urine samples for 24 hours, requiring significant time and resources in the clinical setting. Using predictive GFR formulae to assess renal function may be a better alternative. Our goal was to determine which predictive GFR formula had the highest level of concordance with the GFR that has been measured in a resource-poor setting. This is an observational study. We selected fifty (50) individuals diagnosed with type 2 diabetes (T2DM) in Kumasi, Ghana. The sociodemographic and clinical characteristics were obtained using a structured questionnaire. Urine was obtained from each subject over 24 hours. The levels of glucose (FBG) and creatinine in patients' blood, as well as the levels of creatinine in their urine, were measured after the patients had fasted overnight. Participants had a mean age of 57.4 ± 10.7 (years), BMI of 27.8 ± 4.1 (kg/m2), FBG of 9.0 ± 3.1 (mmol/L), and creatinine concentrations of 95.6 ± 29.1 (μmol/L). A Krouwer plot was used to compare the measured GFR with three formulae: Chronic Kidney Disease Epidemiology (CKD-EPI), Modification of Diet in Renal Disease (MDRD), and Cockroft-Gault (CG) for GFR prediction. Among the 3 estimates, CG showed nonsignificance (p > 0.05) with the measured GFR. The primary finding was that the GFR calculated using the CG formula was not different from the GFR measured, suggesting that CG is the most appropriate alternative GFR estimate among a cross-section of T2DM patients in Ghana.

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2 型糖尿病患者肾小球滤过率估算公式的比较测定:一项观察性研究
评估肾小球滤过率(GFR)需要收集 24 小时的定时尿样,在临床环境中需要大量的时间和资源。使用预测性 GFR 公式来评估肾功能可能是更好的替代方法。我们的目标是确定哪种预测性 GFR 公式与在资源匮乏环境中测量的 GFR 的一致性最高。这是一项观察性研究。我们在加纳库马西选取了五十(50)名确诊为 2 型糖尿病(T2DM)的患者。通过结构化问卷调查获得了他们的社会人口学和临床特征。每个受试者的尿液都是在 24 小时内采集的。患者空腹过夜后,测量其血液中的葡萄糖(FBG)和肌酐水平,以及尿液中的肌酐水平。参与者的平均年龄为 57.4 ± 10.7(岁),体重指数为 27.8 ± 4.1(千克/平方米),FBG 为 9.0 ± 3.1(毫摩尔/升),肌酐浓度为 95.6 ± 29.1(微摩尔/升)。采用克鲁瓦图将测得的 GFR 与三种公式进行比较:慢性肾脏病流行病学(CKD-EPI)、肾病饮食改良(MDRD)和Cockroft-Gault(CG)用于预测GFR。在这三种预测方法中,CG 与测量的 GFR 相比无显著性差异(P > 0.05)。主要发现是使用 CG 公式计算的 GFR 与测量的 GFR 没有差异,这表明 CG 是加纳 T2DM 患者中最合适的替代 GFR 估计值。
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来源期刊
BioMed Research International
BioMed Research International BIOTECHNOLOGY & APPLIED MICROBIOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
CiteScore
6.70
自引率
0.00%
发文量
1942
审稿时长
19 weeks
期刊介绍: BioMed Research International is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies covering a wide range of subjects in life sciences and medicine. The journal is divided into 55 subject areas.
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