An underestimated old friend: Serum protein electrophoresis in the differential diagnosis of glomerulopathies

Ahmet Bilgehan ŞAHİN, Safiye BAKKAL, Saide GÜLLÜLÜ, Ayşegül ORUÇ, Abdülmecit YILDIZ, Mehmet Fethullah AYDIN, Alparslan ERSOY, Gökhan OCAKOĞLU, Mustafa GÜLLÜLÜ
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 Material and Methods: We retrospectively reviewed the medical records of patients who underwent renal biopsy from 2008 to 2016 at our institution. We excluded patients who can not be classified as primary (PGn) or secondary glomerulonephritis (SGn). Univariate and multivariate logistic regression analyses were performed for the prediction of SGn. 
 Results: Four hundred thirty-two patients were included in the study. Of those, 57.9% had PGn. Rheumatological diseases, malignancies, and infections were the most common etiologic causes of SGn, accounting for nearly 75%. Univariate analysis revealed that alpha-1 (α1), gamma (Ɣ), and albumin fractions significantly differ between PGn and SGn groups. ROC curve analysis determined the cut-off value of (α1*Ɣ)/albumin ratio as 1.48. Multivariate analysis revealed that total serum protein and (α1*Ɣ)/albumin ratio were significantly independent predictors for SGn (p=0.020 and p","PeriodicalId":23372,"journal":{"name":"Turkish Journal of Internal Medicine","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Turkish Journal of Internal Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46310/tjim.1358169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Background: Serum protein electrophoresis (SPEP) is an easy test separating serum proteins based on their physical and chemical properties. Although it is frequently used in the differential diagnosis of multiple myeloma and various chronic inflammatory diseases, its value in the etiologic classification of glomerular diseases has yet to be studied. Material and Methods: We retrospectively reviewed the medical records of patients who underwent renal biopsy from 2008 to 2016 at our institution. We excluded patients who can not be classified as primary (PGn) or secondary glomerulonephritis (SGn). Univariate and multivariate logistic regression analyses were performed for the prediction of SGn. Results: Four hundred thirty-two patients were included in the study. Of those, 57.9% had PGn. Rheumatological diseases, malignancies, and infections were the most common etiologic causes of SGn, accounting for nearly 75%. Univariate analysis revealed that alpha-1 (α1), gamma (Ɣ), and albumin fractions significantly differ between PGn and SGn groups. ROC curve analysis determined the cut-off value of (α1*Ɣ)/albumin ratio as 1.48. Multivariate analysis revealed that total serum protein and (α1*Ɣ)/albumin ratio were significantly independent predictors for SGn (p=0.020 and p
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被低估的老朋友:血清蛋白电泳在肾小球疾病鉴别诊断中的应用
背景:血清蛋白电泳(SPEP)是一种根据理化性质分离血清蛋白的简便方法。虽然常用于多发性骨髓瘤和各种慢性炎性疾病的鉴别诊断,但其在肾小球疾病病因学分类中的价值尚未研究。 材料和方法:我们回顾性地回顾了2008年至2016年在我院接受肾活检的患者的病历。我们排除了不能归类为原发性(PGn)或继发性肾小球肾炎(SGn)的患者。单因素和多因素logistic回归分析用于预测SGn。& # x0D;结果:432例患者纳入研究。其中57.9%患有PGn。风湿病、恶性肿瘤和感染是最常见的SGn病因,占近75%。单因素分析显示,α -1 (α1)、γ (Ɣ)和白蛋白含量在PGn组和SGn组之间存在显著差异。ROC曲线分析确定(α1*Ɣ)/白蛋白比值的临界值为1.48。多因素分析显示,血清总蛋白和(α1*Ɣ)/白蛋白比值是SGn的独立预测因子(p=0.020, p= 0.05)
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