Saurabh Animesh, Dey Biswajit, Raphael Vandana, Barman Bhupen, Dev Priyanka, Tiewsoh Iadarilang, Lyngdoh Bifica Sofia, Dutta Kaustuv
Department of Pathology, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, 793018 India.
Department of Internal Medicine, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, India.
SN Compr Clin Med. 2022;4(1):39. doi: 10.1007/s42399-021-01115-8. Epub 2022 Jan 17.
Hematological parameters like total leukocyte count (TLC), neutrophil, lymphocyte, and absolute eosinophil counts (AEC), and neutrophil-to-lymphocyte ratio (NLR) are known to predict the severity of novel coronavirus disease 2019 (COVID-19) patients. In the present study, we aimed to study the role of complete blood count parameters in triaging these patients requiring intensive care unit (ICU) admission. A retrospective study was done over a period of 2 months. Patients, who were ≥ 18 years of age with COVID-19 confirmed on SARS-CoV-2 reverse transcription-polymerase chain reaction (RT-PCR) and whose routine hematology counts were sent within 24 h of admission, were included in the study. Cut-off values of 47.5 years for age, 11.3 × 10/L for TLC, and 9.1 for NLR were predictive of disease severity among COVID-19 patients. Relative neutrophilia ≥ 70% ( < 0.007), relative lymphopenia ≤ 20% ( < 0.002), AEC ≤ 40/cumm ( < 0.001), and NLR ≥ 9.1 ( < 0.001) were significantly associated with ICU admission. Routine hematological parameters are cost-effective and fast predictive markers for severe COVID-19 patients, especially in resource-constrained health care settings to utilize limited ICU resources more effectively.
已知血液学参数如白细胞总数（TLC）、中性粒细胞、淋巴细胞、绝对嗜酸性粒细胞计数（AEC）以及中性粒细胞与淋巴细胞比值（NLR）可预测2019年新型冠状病毒病（COVID-19）患者的病情严重程度。在本研究中，我们旨在探讨全血细胞计数参数在对这些需要入住重症监护病房（ICU）的患者进行分诊中的作用。进行了为期2个月的回顾性研究。纳入研究的患者年龄≥18岁，经严重急性呼吸综合征冠状病毒2（SARS-CoV-2）逆转录聚合酶链反应（RT-PCR）确诊为COVID-19，且入院后24小时内进行了常规血液学计数。年龄截断值为47.5岁、TLC为11.3×10⁹/L以及NLR为9.1可预测COVID-19患者的疾病严重程度。相对中性粒细胞增多≥70%（<0.007）、相对淋巴细胞减少≤20%（<0.002）、AEC≤40/立方毫米（<0.001）以及NLR≥9.1（<0.001）与入住ICU显著相关。常规血液学参数对于重症COVID-19患者来说是具有成本效益且快速的预测指标，尤其是在资源有限的医疗保健环境中，可更有效地利用有限的ICU资源。
