A study on significance and correlation of red cell distribution width with severity of clinical illness in COVID-19 patients

IF 0.1 Q4 HEMATOLOGY Iraqi Journal of Hematology Pub Date : 2022-01-01 DOI:10.4103/ijh.ijh_45_21
M. SakthiKannamma, B. Srinivasamurthy, S. Sinhasan, R. Bhat
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Abstract

BACKGROUND: Global pandemic COVID-19 is an acute respiratory illness with a high rate of hospitalization and death rate. Red cell distribution width coefficient of variation (RDW-CV), a routine component of complete blood count (CBC) automatically generated by most hematology analyzers is a useful predictor of clinical outcomes in critically ill patients and in those with infection and sepsis. RDW will provide information for early risk stratification of COVID-19 patients, thereby enabling timely intervention for reducing morbidity and mortality. In such a massive pandemic, early stratification of cases based on routinely available biomarkers can be of great help inefficient utilization of critical care and laboratory assets. MATERIALS AND METHODS: We retrospectively studied the significance and correlation of RDW (CV) (admission) with the severity of clinical illness in 800 confirmed cases of COVID-19 between August 2020 and October 2020 at our hospital. Demographic and clinical details were obtained from medical records; data pertaining to CBC were retrieved through electronic records of our fully automated hematology analyzer (NihonKoden 5 part auto analyzer Model-MEK– 7300K). Statistical workup was done and results were analyzed. RESULTS: Of 800 patients, 60% were male. RDW (CV) >14.5 (elevated) seen in 52% males and 47% females. Elevated RDW was noted in 43.6% (300/688) nonsevere illnesses (mild and moderate), 82% (92/112) in the severe illness group. The mean RDW (CV) for mild, moderate, and severe cases was found to be 14.21 ± 0.61, 15.32 ± 0.67, and 16.34 ± 1.64, respectively. The number of survivors was 704 (88%). The number of people who died was 96 (12%). Elevated RDW was seen in 74% (71/96) who died and 45% (321/704) of people who survived. To determine the efficacy of RDW (CV) in identifying the severity of disease, a ROC curve was used in which a cutoff value of 13.65 is obtained with a sensitivity of 97.3% and specificity of 85%. CONCLUSION: Higher RDW (CV) was found to have a significant association with clinical severity and mortality prediction. Hence, it can be considered as one of the important hematological parameters in the workup to efficiently stratify the patients at the earliest in COVID-19.
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新冠肺炎患者红细胞分布宽度与临床病情严重程度的相关性及意义
背景:全球大流行新冠肺炎是一种住院率和死亡率较高的急性呼吸道疾病。红细胞分布宽度变异系数(RDW-CV)是大多数血液学分析仪自动生成的全血细胞计数(CBC)的常规成分,是危重患者以及感染和败血症患者临床结果的有用预测指标。RDW将为新冠肺炎患者的早期风险分层提供信息,从而能够及时干预以降低发病率和死亡率。在这样一场大规模的流行病中,根据常规可用的生物标志物对病例进行早期分层,对重症监护和实验室资产的低效利用有很大帮助。材料与方法:回顾性研究了我院2020年8月至2020年10月收治的800例新冠肺炎确诊病例的RDW(CV)(入院)与临床疾病严重程度的相关性及其意义。从医疗记录中获得人口统计学和临床细节;通过我们的全自动血液分析仪(NihonKoden 5部件自动分析仪MEK-7300K型)的电子记录检索与CBC相关的数据。进行了统计工作,并对结果进行了分析。结果:800例患者中,60%为男性。52%的男性和47%的女性RDW(CV)>14.5(升高)。43.6%(300/688)的非严重疾病(轻度和中度)和82%(92/112)的严重疾病组RDW升高。轻度、中度和重度病例的平均RDW(CV)分别为14.21±0.61、15.32±0.67和16.34±1.64。幸存者人数为704人(88%)。死亡人数为96人(12%)。74%(71/96)的死亡者和45%(321/704)的幸存者的RDW升高。为了确定RDW(CV)在识别疾病严重程度方面的疗效,使用ROC曲线,其中获得13.65的截止值,灵敏度为97.3%,特异性为85%。结论:较高的RDW(CV)与临床严重程度和死亡率预测有显著相关性。因此,它可以被视为新冠肺炎早期有效分层患者的重要血液学参数之一。
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