Duman Dildar, Karakurt Zuhal, Durmuş Koçak Nagihan, Adıgüzel Nalan, Yıldız Tekin, Güngör Gökay, Berk Takır Huriye, Tepetam Fatma Merve, Günen Hakan, Interest Group On Behalf Of The Covid-
Department of Pulmonology, University of Health Sciences, Süreyyapaşa Chest Diseases and Thoracic Surgery Training and Research Hospital, İstanbul, Turkey.
Respiratory Intensive Care Unit Clinic, University of Health Sciences, Süreyyapaşa Chest Diseases and Thoracic Surgery Training and Research Hospital, İstanbul, Turkey.
Thorac Res Pract. 2023 Jan;24(1):6-13. doi: 10.5152/ThoracResPract.2023.21233.
Coronavirus disease 2019 is an ongoing disease with high morbidity and mortality. We aimed to investigate the relationship between demographics, lymphocytes, eosinophils, and the coronavirus disease 2019 severity at hospital admission.
A retrospective, observational cross-sectional study was carried out with 5828 coronavirus disease 2019 patients between March 11, 2020, and November 30, 2020. Patients were divided into 3 groups according to where they were followed up as an indicator of disease severity, namely outpatients, inpatients, and critically ill patients. The patients' demographics and hemogram values on admission were recorded. The predictive accuracies of lymphocyte count, lymphocyte percentage, eosinophil count, and eosinophil percentage for predicting severity were determined using receiver operating characteristic curves. Logistic regression analysis was used to predict intensive care unit demand according to lymphocyte and eosinophil values.
Of the 5828 coronavirus disease 2019 patients, 4050 were followed up as outpatients, 1581 were hospitalized in a ward, and 197 were hospitalized in the intensive care unit. Lymphocyte count and lymphocyte percentage were significantly different between the groups, but the difference for eosinophil count and eosinophil percentage was not significant as it was for lymphocytes. Cutoff values for lymphocyte count (1.0 × 109 /L), lymphocyte percentage (22%), eosinophil count (0.052 × 109 /L), and eosinophil percentage (0.08%) were found to indicate a high risk for intensive care unit admission. Coronavirus disease 2019 patients >55 years of age, with a lymphocyte count <1.0 × 109 /L, a lymphocyte percentage <22%, and an eosinophil percentage <0.08% had a 2-fold higher risk of requiring intensive care unit management.
Lymphocyte counts and percentages are quick and reliable biomarkers for predicting coronavirus disease 2019 severity and may guide physicians for proper management earlier.
2019冠状病毒病是一种发病率和死亡率都很高的持续性疾病。我们旨在研究人口统计学特征、淋巴细胞、嗜酸性粒细胞与2019冠状病毒病入院时严重程度之间的关系。
对2020年3月11日至2020年11月30日期间的5828例2019冠状病毒病患者进行了一项回顾性观察性横断面研究。根据作为疾病严重程度指标的随访地点，将患者分为3组，即门诊患者、住院患者和重症患者。记录患者入院时的人口统计学特征和血常规值。使用受试者工作特征曲线确定淋巴细胞计数、淋巴细胞百分比、嗜酸性粒细胞计数和嗜酸性粒细胞百分比预测严重程度的预测准确性。采用逻辑回归分析根据淋巴细胞和嗜酸性粒细胞值预测重症监护病房需求。
在5828例2019冠状病毒病患者中，4050例作为门诊患者进行随访，1581例在病房住院，197例在重症监护病房住院。各组间淋巴细胞计数和淋巴细胞百分比有显著差异，但嗜酸性粒细胞计数和嗜酸性粒细胞百分比的差异不如淋巴细胞显著。发现淋巴细胞计数（1.0×10⁹/L）、淋巴细胞百分比（22%）、嗜酸性粒细胞计数（0.052×10⁹/L）和嗜酸性粒细胞百分比（0.08%）的临界值表明入住重症监护病房的风险较高。年龄>55岁、淋巴细胞计数<1.0×10⁹/L、淋巴细胞百分比<22%且嗜酸性粒细胞百分比<0.08%的2019冠状病毒病患者需要重症监护病房管理的风险高出2倍。
淋巴细胞计数和百分比是预测2019冠状病毒病严重程度的快速且可靠的生物标志物，可能有助于医生更早地进行适当管理。
