Utility of Neutrophil Lymphocyte Ratio (NLR) and Platelet Lymphocyte Ratio (PLR) as A Predictor of Mortality in COVİD-19

Riya Sunil, Preethi Chikkanayakanahalli Ramesh, Ashwini Hosahalli Nagaraj, Krupa Kadarappa
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引用次数: 1

Abstract

Coronavirus-19 pandemic has stricken our world since December 2019; the disease, first reported in China, is now a pandemic. More than 400 million people have been affected, and 5 million people have succumbed to the disease. Hence, it is the need of the era to find readily available laboratory parameters to assess the mortality chances in these patients. Our study aims to determine the utility of NLR and PLR ratios as a predictor of severity and clinical outcome of COVID-19 patients.100 patients admitted to a tertiary care hospital in Karnataka, India, during the months April to July 2020 were studied. Only patients with a positive RT-PCR (Reverse Transcriptase Polymerase Chain Reaction) report for COVID-19 were included. Demographic data, comorbidities, and mortality status were collected from electronic hospital records. Lab parameters including- Total Count (TC), Absolute count of neutrophils and lymphocytes, platelet count were taken. NLR and PLR were derived from available lab parameters. Patients were categorized into varying severity depending on their SpO2 levels at admission. Neutrophil count (P=0.001) and NLR (P=0.002) were associated with an increased risk of mortality and disease severity. An increase in PLR ratio (P=0.05) shows a mild association with mortality but not with disease severity (P=0.096). In contrast, comorbidities, increasing age, and gender did not show any statistical significance for mortality. The presence of statistical significance concerning NLR and PLR should be utilized as an aid by clinicians to assess disease severity and chances of mortality. As new variants of the disease are uprising and a single therapeutic measure is not available currently for the treatment of COVID-19, clinicians should be well informed about how to monitor the disease in a cost-effective and easily accessible way to reduce the disease mortality and morbidity.
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中性粒细胞淋巴细胞比率(NLR)和血小板淋巴细胞比率(PLR)作为COVİD-19死亡率预测因子的应用
2019年12月以来,新型冠状病毒大流行席卷全球;这种疾病首先在中国报道,现在已经成为一种大流行。超过4亿人受到影响,500万人死于这种疾病。因此,时代需要找到现成的实验室参数来评估这些患者的死亡机会。我们的研究旨在确定NLR和PLR比率作为COVID-19患者严重程度和临床结局预测因子的效用。对2020年4月至7月期间印度卡纳塔克邦一家三级保健医院收治的100名患者进行了研究。仅纳入RT-PCR(逆转录聚合酶链反应)报告阳性的COVID-19患者。从电子医院记录中收集人口统计数据、合并症和死亡率状况。实验参数包括总计数(TC)、中性粒细胞和淋巴细胞绝对计数、血小板计数。NLR和PLR根据实验室参数计算得到。根据患者入院时的SpO2水平将其分为不同的严重程度。中性粒细胞计数(P=0.001)和NLR (P=0.002)与死亡率和疾病严重程度的增加相关。PLR比值的升高(P=0.05)与死亡率有轻微相关性,但与疾病严重程度无相关性(P=0.096)。相比之下,合并症、年龄增长和性别对死亡率没有统计学意义。NLR和PLR之间存在的统计学意义应作为临床医生评估疾病严重程度和死亡率的辅助手段。由于该疾病的新变体不断出现,而且目前没有单一的治疗措施可用于治疗COVID-19,因此临床医生应充分了解如何以具有成本效益和易于获得的方式监测该疾病,以降低疾病死亡率和发病率。
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