Gujar Reetesh Kumar, Meena Anil, Chouhan Shailendra Singh, Likhar K S
Department of Pathology, Government Medical College Ratlam, Madhya Pradesh 457001, India.
Bioinformation. 2021 Jul 31;17(7):686-690. doi: 10.6026/97320630017686. eCollection 2021.
It is of interest to compare the hematological profile (using Complete blood count) of COVID patients admitted in ICU, private ward, and isolation ward with varying severity. This data will help predict the severity of infection at peripheries and rural areas. Detailed history and CBC was performed for all the cases. Different ratios and indexes such as systemic inflammatory index (SII), Neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR) were assessed. A total of 862 cases with a mean age of 49.9 ±17.4 years were enrolled. Hemoglobin level, lymphocyte (count per liter and percentage) were significantly lower in patients admitted in ICU as compared to patients admitted in the isolation ward and private ward (p <0.05). However, TLC, neutrophils, platelet count were higher in patients admitted to ICU (p <0.05). The Various ratios such as SII, NLR, and PLR showed significantly higher value in cases admitted in ICU (p <0.05). The TLC, neutrophil count, neutrophil percentage, SII, NLR, and PLR were significant predictors of severe disease (admission in ICU) with high diagnostic accuracy. We show that complete blood count method is a simple, readily available, rapid, and inexpensive tool that can be utilized for diagnosis and can predicting the severity of COVID 19 where RTPCR or trained staff is not available. Thus, NLR (%), SII, PLR, and TLC can predict severe illness with high accuracy.
比较入住重症监护病房（ICU）、普通病房和隔离病房的不同严重程度的新冠患者的血液学特征（使用全血细胞计数）很有意义。这些数据将有助于预测周边地区和农村地区的感染严重程度。对所有病例都进行了详细病史询问和全血细胞计数检查。评估了不同的比率和指标，如全身炎症指数（SII）、中性粒细胞淋巴细胞比率（NLR）、血小板淋巴细胞比率（PLR）。共纳入862例患者，平均年龄为49.9±17.4岁。与入住隔离病房和普通病房的患者相比，入住ICU的患者血红蛋白水平、淋巴细胞（每升计数和百分比）显著降低（p<0.05）。然而，入住ICU的患者白细胞总数、中性粒细胞、血小板计数更高（p<0.05）。SII、NLR和PLR等各种比率在入住ICU的病例中显示出显著更高的值（p<0.05）。白细胞总数、中性粒细胞计数、中性粒细胞百分比、SII、NLR和PLR是重症疾病（入住ICU）的显著预测指标，诊断准确性高。我们表明，全血细胞计数方法是一种简单、易于获得、快速且廉价的工具，可用于诊断，并且在没有逆转录聚合酶链反应（RTPCR）或专业人员的情况下能够预测新冠病毒疾病的严重程度。因此，NLR（%）、SII、PLR和白细胞总数能够高精度地预测重症疾病。
