Department of Medical Laboratory, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hematology Application and Research Department, Shenzhen Mindray Bio-Medical Electronic Co., Ltd, Shenzhen, China.
Int J Lab Hematol. 2020 Dec;42(6):780-787. doi: 10.1111/ijlh.13291. Epub 2020 Jul 23.
To retrospectively analyze epidemiological, clinical and hematological characteristics of COVID-19 patients.
The demographic, symptoms, and physiological parameters of 88 patients were collected and analyzed. The performance of complete blood count (CBC) indexes for monitoring and predicting the severity of COVID-19 in patients was evaluated by analyzing and comparing CBC results among different COVID-19 patient groups.
White blood cells (WBCs), the neutrophil percentage (Neu%), absolute neutrophil count (Neu#), and neutrophil-to-lymphocyte ratio (NLR) were significantly higher in the critical group than in the other three groups (P < .05), while the lymphocyte percentage (Lym%), monocyte percentage (Mon%), lymphocyte count (Lym#), and lymphocyte-to-monocyte ratio (LMR) were significantly lower in the critical group than in the other three groups (P < .05). WBCs, the Neu%, Neu#, NLR, and neutrophil-to-monocyte ratio (NMR) were significantly higher in the severe group than in the mild and moderate groups (P < .05), while the Lym% was significantly lower in the severe group than in the mild and moderate groups (P < .05). The Mon%, Lym#, and LMR were significantly lower in the severe group than in the moderate group (P < .05). Using receiver operating characteristic (ROC) curve analysis to differentiate severe and nonsevere patients, the areas under the curve (AUCs) for the NLR, Neu%, and Lym% were 0.733, 0.732, and 0.730, respectively. When differentiating critical patients from noncritical patients, the AUCs for the NLR, Neu%, and Lym% were 0.832, 0.831, and 0.831.
The NLR is valuable for differentiating and predicting patients who will become critical within 4 weeks after the onset of COVID-19.
回顾性分析 COVID-19 患者的流行病学、临床和血液学特征。
收集并分析 88 例患者的人口统计学、症状和生理参数。通过分析和比较不同 COVID-19 患者组之间的全血细胞计数 (CBC) 结果，评估 CBC 指标在监测和预测 COVID-19 患者严重程度方面的性能。
危重症组的白细胞 (WBC)、中性粒细胞百分比 (Neu%)、绝对中性粒细胞计数 (Neu#) 和中性粒细胞与淋巴细胞比值 (NLR) 明显高于其他三组 (P<.05)，而淋巴细胞百分比 (Lym%)、单核细胞百分比 (Mon%)、淋巴细胞计数 (Lym#) 和淋巴细胞与单核细胞比值 (LMR) 明显低于其他三组 (P<.05)。重症组的 WBC、Neu%、Neu#、NLR 和中性粒细胞与单核细胞比值 (NMR) 明显高于轻症和中症组 (P<.05)，而重症组的 Lym%明显低于轻症和中症组 (P<.05)。重症组的 Mon%、Lym#和 LMR 明显低于中症组 (P<.05)。使用受试者工作特征 (ROC) 曲线分析区分重症和非重症患者，NLR、Neu%和 Lym%的曲线下面积 (AUCs) 分别为 0.733、0.732 和 0.730。区分危重症患者和非危重症患者时，NLR、Neu%和 Lym%的 AUC 分别为 0.832、0.831 和 0.831。
NLR 可用于区分和预测 COVID-19 发病后 4 周内发展为危重症的患者。
