Sukrisman Lugyanti, Sinto Robert, Priantono Dimas
Division of Haematology-Medical Oncology, Department of Internal Medicine, Dr. Cipto Mangunkusumo General Hospital/Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Division of Tropical and Infectious Disease, Department of Internal Medicine, Dr. Cipto Mangunkusumo General Hospital/Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Int J Gen Med. 2021 Oct 18;14:6919-6924. doi: 10.2147/IJGM.S337440. eCollection 2021.
COVID-19 is a pandemic with significant mortality and it is important to differentiate severe and non-severe cases. We conducted a study to evaluate hematologic profiles with inflammation markers in COVID-19 patients and to determine the correlation of neutrophil-lymphocyte ratio (NLR) with disease severity.
A cross-sectional study involving hospitalized COVID-19 patients confirmed with a positive SARS-CoV-2 PCR test in Dr. Cipto Mangunkusumo Hospital. Lymphocyte count, NLR, C-reactive protein (CRP) and ferritin were evaluated in severe and non-severe COVID-19 cases at hospital admission. Data was analyzed using Spearman correlation.
There were 41 patients aged 20 to 79 years with COVID-19; 33 (80.5%) were non-severe, and 8 (19.5%) were severe cases. There is a statistically significant difference in WBC, relative neutrophils and lymphocytes, NLR, and CRP between non-severe and severe cases. There is a strong correlation between NLR and CRP (r = 0.738; p < 0.001). Our findings show that NLR and absolute lymphocyte count, but not ferritin, play a role in differentiating between non-severe and severe COVID-19 cases.
In COVID-19 cases, a strong correlation between NLR and CRP might suggest the use of NLR to differentiate between non-severe and severe cases, especially in a remote healthcare facility.
新型冠状病毒肺炎(COVID-19)是一种具有高死亡率的大流行病,区分重症和非重症病例很重要。我们开展了一项研究,以评估COVID-19患者的血液学特征及炎症标志物,并确定中性粒细胞与淋巴细胞比值(NLR)与疾病严重程度的相关性。
在西托·曼古库苏莫博士医院对经严重急性呼吸综合征冠状病毒2(SARS-CoV-2)聚合酶链反应(PCR)检测确诊的住院COVID-19患者进行一项横断面研究。在入院时对重症和非重症COVID-19病例的淋巴细胞计数、NLR、C反应蛋白(CRP)和铁蛋白进行评估。使用Spearman相关性分析数据。
有41例年龄在20至79岁的COVID-19患者;33例(80.5%)为非重症,8例(19.5%)为重症病例。非重症和重症病例之间的白细胞、中性粒细胞和淋巴细胞相对值、NLR及CRP存在统计学显著差异。NLR与CRP之间存在强相关性(r = 0.738;p < 0.001)。我们的研究结果表明,NLR和绝对淋巴细胞计数而非铁蛋白在区分非重症和重症COVID-19病例中起作用。
在COVID-19病例中,NLR与CRP之间的强相关性可能提示可使用NLR来区分非重症和重症病例,尤其是在偏远的医疗机构。