{"title":"Can We Use Inflammation Biomarkers Based on Complete Blood Cell Count in the Follow-up of COVID-19 in Hemodialysis Patients?","authors":"Kubra Aydin Bahat, Tugba Tahtali","doi":"10.4274/haseki.galenos.2022.8694","DOIUrl":null,"url":null,"abstract":"Aim: Coronavirus disease-2019 (COVID-19) is more severe in hemodialysis patients than in the average population and causes much higher mortality. This study investigated the effect of inflammation parameters obtained from complete blood count on the prognosis of COVID-19 in hemodialysis patients with COVID-19. Method(s): Hemodialysis patients admitted to our hospital between 11.03.2020 and 01.12.2020 with the diagnosis of COVID-19 were included in this study. The relationship between the oxygen requirement, intensive care requirements, and mortality development of the patients and the parameters obtained from the complete blood count, C-reactive protein (CRP), secondary infection, and demographic characteristics of the patients were investigated. Result(s): A total of 94 hemodialysis patients were included in the study. There was a correlation between secondary infections and the need for oxygen and intensive care (p=0.001 and p<0.001, respectively). CRP levels were associated with mortality, need for intensive care and oxygen demand (p=0.031, p=0.019 and p=0.014, respectively). Systemic inflammation index, derived neutrophil-lymphocyte ratio, and platelet-lymphocyte ratio were associated with oxygen demand (p=0.002, p=0.009 and p=0.044, respectively). The systemic inflammation index, platelet-lymphocyte ratio, and derived neutrophil-lymphocyte ratio exhibited the highest specificity (19.4% vs 26.9% vs 16.4%) and sensitivity (96.7% vs 92.6% vs 96.7%) and the largest areas under the curve of 0.672 vs 0.652 vs 0.666, respectively. Conclusion(s): Systemic inflammation index, neutrophil-lymphocyte ratio, and platelet-lymphocyte ratio obtained from complete blood count parameters in hemodialysis patients are functional parameters that can be used to predict the course of COVID-19. Copyright © 2022 by The Medical Bulletin of Istanbul Haseki Training and Research Hospital The Medical Bulletin of Haseki published by Galenos Yayinevi.","PeriodicalId":42416,"journal":{"name":"Haseki TIp Bulteni-Medical Bulletin of Haseki","volume":"22 1","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Haseki TIp Bulteni-Medical Bulletin of Haseki","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4274/haseki.galenos.2022.8694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
基于全血细胞计数的炎症生物标志物能否用于血液透析患者COVID-19随访?
目的:冠状病毒病-2019 (COVID-19)在血液透析患者中比在平均人群中更严重,死亡率也高得多。本研究探讨全血细胞计数获得的炎症参数对血液透析患者COVID-19预后的影响。方法:选取2020年3月11日至2020年12月1日期间我院确诊为COVID-19的血液透析患者为研究对象。研究患者的血氧需要量、重症监护需要量、死亡率发展与患者全血细胞计数、c反应蛋白(CRP)、继发感染、人口学特征等参数的关系。结果:共纳入血透患者94例。继发感染与氧气需求和重症监护之间存在相关性(p=0.001和p<0.001)。CRP水平与死亡率、重症监护需求和需氧量相关(p=0.031、p=0.019和p=0.014)。全身炎症指数、衍生中性粒细胞-淋巴细胞比率和血小板-淋巴细胞比率与需氧量相关(p=0.002、p=0.009和p=0.044)。全身炎症指数、血小板-淋巴细胞比值和衍生中性粒细胞-淋巴细胞比值的特异性最高(19.4% vs 26.9% vs 16.4%),敏感性最高(96.7% vs 92.6% vs 96.7%),曲线下面积最大(0.672 vs 0.652 vs 0.666)。结论:血透患者全血细胞计数参数获得的全身炎症指数、中性粒细胞-淋巴细胞比值、血小板-淋巴细胞比值是预测COVID-19病程的功能参数。伊斯坦布尔Haseki培训和研究医院医学公报版权所有©2022。Galenos Yayinevi出版的Haseki医学公报。
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