三级医疗分诊中心新冠肺炎患者红细胞指标的研究

A.Anitha, P.Sudhakar, S.Ramapriya
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摘要

背景:SARS-CoV-2感染的特点是炎症反应的发生和进展。探索COVID-19患者的预后预测因素对于及时进行临床干预至关重要。本研究旨在探讨血液学参数对COVID-19患者分类的预测价值。我们的目的是研究sars - cov -2感染患者血液学参数与疾病严重程度之间的关系。红细胞分布宽度(RDW),一个指标的红细胞各向异性已成为一个潜在的工具,危险分层危重患者。材料与方法:经机构伦理委员会批准后,采用成都医学院附属医院分诊科的资料进行回顾性研究。收集在分诊门诊就诊1个月的COVID - 19阳性患者的人口学、临床和实验室资料。本研究纳入了3000名年龄在20 ~ 70岁的男性和女性的RT-PCR确诊的COVID阳性患者。排除COVID - 19阳性儿科病例、产前和产后母亲、术后病例和COVID - 19 ICU住院病例。将COVID - 19的症状、相关合并症和严重程度制成表格。在报告分诊时,全自动Sysmex分析仪测量的全血细胞计数被记录。红细胞指标分析采用SPSS 21.0版本。结果:与轻症患者相比,合并重症患者的rdw升高,MCV降低,具有统计学意义。有、无症状和无合并症患者的红细胞指标无统计学差异。结论:RDW是一种筛查COVID-19重症患者的工具,本研究结果提示RDW应作为COVID-19常规实验室评估和监测的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study of Red Blood Cell Indices among Covid 19 Individuals in Tertiary Care Triage Centre
Background: SARS-CoV-2 infection is characterized by the development and progression of inflammatoryresponses. The exploration of prognostic predictors for patients with COVID-19 is vital for prompt clinicalintervention. Our study aims to explore the predictive value of hematological parameters in categorizationof patients with COVID-19.We aimed to investigate associations between hematological parameters anddisease severity in patients with SARS-CoV-2infection.The red blood cell distribution width (RDW),an indicator of anisocytosis has emerged as a potential tool for risk stratification of critically ill patients.Materials and Methods: Retrospective study after getting approval from Institutional ethics committeewas performed with data obtained from triage OPD in Chengalpattu Medical College & Hospital. Thedemographic, clinical, laboratory profile of COVID 19 positive patients who attended Triage OPD for aperiod of one month were collected. 3000 RT-PCR confirmed COVID positive patients of age group 20to 70 years of both genders were included in the study. COVID 19 positive paediatric cases, antenatal andpostnatal mothers, postoperative cases and sick cases admitted in COVID ICU were excluded from thestudy. Symptoms, associated co-morbidities and severity of COVID 19 were tabulated. Complete BloodCount measured by Automated Sysmex Analyser at the time of reporting to triage was noted. Red bloodcell indices were analysed using SPSS 21.0 version. Results: There was statistically significant increase inRDW and decrease in MCV among patients with co-morbidity and severe illness compared to those withmild disease. There is no statistically significant difference in Red blood cell indices between patients withand without symptoms and patients without co-morbidities. Conclusion: RDW was found to be a screeningtool to identify patients with severe COVID-19 and the results of this study suggest that RDW should be partof routine laboratory assessment and monitoring of COVID-19.
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