{"title":"[Comment on the article \"Erythrocyte morphological alterations as predictors of kidney injury severity\"].","authors":"José Alfredo Feria-Ramírez","doi":"10.5281/zenodo.15178497","DOIUrl":null,"url":null,"abstract":"<p><p>After reviewing the article \"Erythrocyte morphological alterations as predictors of kidney injury severity\" published by Cruz-Balbuena et al., we can emphasize that erythrocytic changes have several pathophysiological mechanisms, such as iron deficiency, vitamin B12 deficiency, and the pro-inflammatory state of chronic kidney disease (CKD) itself. Furthermore, due to the accumulation of uremic toxins that result in a shortened lifespan of erythrocytes, a selection bias was found in their population and a positive but non-linear correlation. There are already several well-established progression markers with better correlation.</p>","PeriodicalId":94200,"journal":{"name":"Revista medica del Instituto Mexicano del Seguro Social","volume":"63 3","pages":"e6505"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista medica del Instituto Mexicano del Seguro Social","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/zenodo.15178497","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
After reviewing the article "Erythrocyte morphological alterations as predictors of kidney injury severity" published by Cruz-Balbuena et al., we can emphasize that erythrocytic changes have several pathophysiological mechanisms, such as iron deficiency, vitamin B12 deficiency, and the pro-inflammatory state of chronic kidney disease (CKD) itself. Furthermore, due to the accumulation of uremic toxins that result in a shortened lifespan of erythrocytes, a selection bias was found in their population and a positive but non-linear correlation. There are already several well-established progression markers with better correlation.