Isis Cerezo, Barbara Cancho, Jorge Alberto Rodriguez Sabillon, Alberto Jorge, Alvaro Alvarez Lopez, Julian Valladares, Juan Lopez Gomez, Jorge Romero, Nicolas Roberto Robles
{"title":"肾小球滤过率、血清胱抑素C、β -2微球蛋白和蛋白尿对死亡和慢性肾病进展的预后价值比较","authors":"Isis Cerezo, Barbara Cancho, Jorge Alberto Rodriguez Sabillon, Alberto Jorge, Alvaro Alvarez Lopez, Julian Valladares, Juan Lopez Gomez, Jorge Romero, Nicolas Roberto Robles","doi":"10.1002/jcla.25139","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Aims</h3>\n \n <p>Serum creatinine and albuminuria are the core of most CKD prediction and progression risk models. Several biomarkers have been introduced to improve these results such as beta-2-microglobulin (B2M) and cystatin C (CysC). Nevertheless, few clinical comparisons of these biomarkers are available. We have compared serum B2M levels with albuminuria, CysC levels, and the CKD-EPI GFR equations.</p>\n </section>\n \n <section>\n \n <h3> Designs and Methods</h3>\n \n <p>A sample of 434 patients were studied: 234 males and 200 females, the mean age was 58.3 ± 15.0 years, and 33.4% have diabetes mellitus. In all patients, plasma B2M, CysC, creatinine, and urinary albumin excretion were analyzed. EGFR was calculated using CKD-EPI equations for creatinine, CysC, and creatinine-CysC. The risk of death and CKD progression was evaluated using ROC curves and Cox proportional hazards survivorship models.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>For mortality, the highest area under the curve (AUC) was for CysC (0.775, 0.676–0.875). The lowest sensitivity was shown by eGFR (creatinine) (0.298, 0.195–0.401, <i>p</i> < 0.001), eGFR (CysC) (0.216, 0.118–0.314, <i>p</i> < 0.001), and eGFR (creatinine + CysS) (0.218, 0.124–0.312, <i>p</i> < 0.001). For progression to advanced CKD, the highest AUC was for CysC (0.908, 0.862–0.954). The lowest sensitivity was shown by eGFR (creatinine) (0.184, 0.106–0.261, <i>p</i> < 0.001), eGFR (CysC) (0.095, 0.048–0.14, <i>p</i> < 0.001), and eGFR (creatinine+ CysC) (0.087, 0.040–0.134, <i>p</i> < 0.001). CysC, after age, was the second-best marker of life risk. Contrariwise, for CKD progression, CysC, and albuminuria were the best markers.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The best biomarker of mortality and risk of progression to CKD was CysC. Albuminuria and B2M were the next best options to be used. The lowest sensitivity was shown by estimated eGFR.</p>\n </section>\n </div>","PeriodicalId":15509,"journal":{"name":"Journal of Clinical Laboratory Analysis","volume":"39 2","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11776497/pdf/","citationCount":"0","resultStr":"{\"title\":\"Comparative Prognostic Value of Glomerular Filtration Rate, Serum Cystatin C, Beta-2-Microglobulin and Albuminuria for Death and Chronic Kidney Disease Progression\",\"authors\":\"Isis Cerezo, Barbara Cancho, Jorge Alberto Rodriguez Sabillon, Alberto Jorge, Alvaro Alvarez Lopez, Julian Valladares, Juan Lopez Gomez, Jorge Romero, Nicolas Roberto Robles\",\"doi\":\"10.1002/jcla.25139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Aims</h3>\\n \\n <p>Serum creatinine and albuminuria are the core of most CKD prediction and progression risk models. Several biomarkers have been introduced to improve these results such as beta-2-microglobulin (B2M) and cystatin C (CysC). Nevertheless, few clinical comparisons of these biomarkers are available. We have compared serum B2M levels with albuminuria, CysC levels, and the CKD-EPI GFR equations.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Designs and Methods</h3>\\n \\n <p>A sample of 434 patients were studied: 234 males and 200 females, the mean age was 58.3 ± 15.0 years, and 33.4% have diabetes mellitus. In all patients, plasma B2M, CysC, creatinine, and urinary albumin excretion were analyzed. EGFR was calculated using CKD-EPI equations for creatinine, CysC, and creatinine-CysC. The risk of death and CKD progression was evaluated using ROC curves and Cox proportional hazards survivorship models.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>For mortality, the highest area under the curve (AUC) was for CysC (0.775, 0.676–0.875). The lowest sensitivity was shown by eGFR (creatinine) (0.298, 0.195–0.401, <i>p</i> < 0.001), eGFR (CysC) (0.216, 0.118–0.314, <i>p</i> < 0.001), and eGFR (creatinine + CysS) (0.218, 0.124–0.312, <i>p</i> < 0.001). For progression to advanced CKD, the highest AUC was for CysC (0.908, 0.862–0.954). The lowest sensitivity was shown by eGFR (creatinine) (0.184, 0.106–0.261, <i>p</i> < 0.001), eGFR (CysC) (0.095, 0.048–0.14, <i>p</i> < 0.001), and eGFR (creatinine+ CysC) (0.087, 0.040–0.134, <i>p</i> < 0.001). CysC, after age, was the second-best marker of life risk. Contrariwise, for CKD progression, CysC, and albuminuria were the best markers.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>The best biomarker of mortality and risk of progression to CKD was CysC. Albuminuria and B2M were the next best options to be used. 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Comparative Prognostic Value of Glomerular Filtration Rate, Serum Cystatin C, Beta-2-Microglobulin and Albuminuria for Death and Chronic Kidney Disease Progression
Aims
Serum creatinine and albuminuria are the core of most CKD prediction and progression risk models. Several biomarkers have been introduced to improve these results such as beta-2-microglobulin (B2M) and cystatin C (CysC). Nevertheless, few clinical comparisons of these biomarkers are available. We have compared serum B2M levels with albuminuria, CysC levels, and the CKD-EPI GFR equations.
Designs and Methods
A sample of 434 patients were studied: 234 males and 200 females, the mean age was 58.3 ± 15.0 years, and 33.4% have diabetes mellitus. In all patients, plasma B2M, CysC, creatinine, and urinary albumin excretion were analyzed. EGFR was calculated using CKD-EPI equations for creatinine, CysC, and creatinine-CysC. The risk of death and CKD progression was evaluated using ROC curves and Cox proportional hazards survivorship models.
Results
For mortality, the highest area under the curve (AUC) was for CysC (0.775, 0.676–0.875). The lowest sensitivity was shown by eGFR (creatinine) (0.298, 0.195–0.401, p < 0.001), eGFR (CysC) (0.216, 0.118–0.314, p < 0.001), and eGFR (creatinine + CysS) (0.218, 0.124–0.312, p < 0.001). For progression to advanced CKD, the highest AUC was for CysC (0.908, 0.862–0.954). The lowest sensitivity was shown by eGFR (creatinine) (0.184, 0.106–0.261, p < 0.001), eGFR (CysC) (0.095, 0.048–0.14, p < 0.001), and eGFR (creatinine+ CysC) (0.087, 0.040–0.134, p < 0.001). CysC, after age, was the second-best marker of life risk. Contrariwise, for CKD progression, CysC, and albuminuria were the best markers.
Conclusions
The best biomarker of mortality and risk of progression to CKD was CysC. Albuminuria and B2M were the next best options to be used. The lowest sensitivity was shown by estimated eGFR.
期刊介绍:
Journal of Clinical Laboratory Analysis publishes original articles on newly developing modes of technology and laboratory assays, with emphasis on their application in current and future clinical laboratory testing. This includes reports from the following fields: immunochemistry and toxicology, hematology and hematopathology, immunopathology, molecular diagnostics, microbiology, genetic testing, immunohematology, and clinical chemistry.