COVID-19住院患者外周血参数异常:与生存相关的时间变化分析

Müzeyyen Aslaner Ak, B. Sahip, G. Celebi, E. Horuz, Ş. Ertop
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Laboratory parameters were recorded on initial admission, 3 rd , 7 th and last day of hospitalization, and post-discharge first month and included hemoglobin (Hb, g/dL), hematocrit (%), white blood cell (WBC) (x109/L), platelet (cells/mm 3 ) and lymphocyte counts (cells/μL), mean platelet volume (MPV, fL), platelet distribution width (PDW, %), plateletcrit (PCT,%) and platelet-to-lymphocyte ratio ( PLR), and analysed. Results: Overall, 139 (93.9%) patients survived. Survivors vs. non-survivors had significantly higher median levels for Hb at initial admission (13.3 vs. 12.2 g/dL, p=0.023), 3 rd day (12.6 vs. 11.7 g/dL, p=0.033) and 7 th day of hospitalization (12.5 vs. 9.8 g/dL, p=0.014) and for lymphocyte counts at initial admission (1200 vs. 800 cells/μL, p=0.014) and 3 rd day (1400 vs. 1200 cells/μL, p=0.043) of hospitalization. They also had significantly lower WBC counts at initial admission (5800 vs. 7900 x109/L, p=0.014), 3 rd day (5400 vs. 6047 x109/L, p=0.007) and 7 th day (6100 vs. 8400 x109/L, p=0.040) and last day (6200 vs. 17700 x109/L, p=0.018) of hospitalization and lower PLR at initial admission (165 vs. 294.5, p=0.002) and 3 rd hospitalization day (150 vs. 223, p=0.003). 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引用次数: 1

摘要

COVID-19住院患者外周血参数异常:与生存相关的时间变化分析大海。2021;5(3):391 - 400。摘要目的:本研究旨在探讨COVID-19住院患者外周血指标的异常和时间变化,特别是血小板指标与生存状况的关系。材料与方法:纳入诊断为COVID-19的住院患者149例。记录入院初、住院第3、7、最后一天及出院后第一个月的实验室参数,包括血红蛋白(Hb, g/dL)、红细胞比容(%)、白细胞(WBC) (x109/L)、血小板(细胞/mm 3)和淋巴细胞计数(细胞/μL)、平均血小板体积(MPV, fL)、血小板分布宽度(PDW, %)、血小板比(PCT,%)和血小板淋巴细胞比(PLR),并进行分析。结果:总体而言,139例(93.9%)患者存活。幸存者与非幸存者在入院时Hb的中位水平(13.3 vs 12.2 g/dL, p=0.023)、第3天(12.6 vs 11.7 g/dL, p=0.033)和第7天(12.5 vs 9.8 g/dL, p=0.014)以及入院时淋巴细胞计数(1200 vs 800 cells/μL, p=0.014)和第3天(1400 vs 1200 cells/μL, p=0.043)均显著高于非幸存者。患者入院时WBC计数(5800 vs. 7900 x109/L, p=0.014)、第3天(5400 vs. 6047 x109/L, p=0.007)、第7天(6100 vs. 8400 x109/L, p=0.040)和最后一天(6200 vs. 17700 x109/L, p=0.018)均显著降低,入院时PLR (165 vs. 294.5, p=0.002)和第3天(150 vs. 223, p=0.003)均较低。结论:总之,我们的研究结果强调了动态监测外周血参数并结合PLR帮助临床医生识别COVID-19预后不良风险增加的患者的临床意义。
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Abnormalities of Peripheral Blood Parameters in Hospitalized Patients with COVID-19: A Temporal Change Analysis in Relation to Survival
Abnormalities of peripheral blood parameters in hospitalized patients with COVID-19: A temporal change analysis in relation to survival. Sea. 2021;5(3):391-400. ABSTRACT Aim: This study aimed to investigate the abnormalities and temporal changes in peripheral blood parameters, with particular emphasis on platelet indices, in relation to survival status among hospitalized COVID-19 patients. Material and Methods: A total of 149 patients hospitalized with the diagnosis of COVID-19 were included. Laboratory parameters were recorded on initial admission, 3 rd , 7 th and last day of hospitalization, and post-discharge first month and included hemoglobin (Hb, g/dL), hematocrit (%), white blood cell (WBC) (x109/L), platelet (cells/mm 3 ) and lymphocyte counts (cells/μL), mean platelet volume (MPV, fL), platelet distribution width (PDW, %), plateletcrit (PCT,%) and platelet-to-lymphocyte ratio ( PLR), and analysed. Results: Overall, 139 (93.9%) patients survived. Survivors vs. non-survivors had significantly higher median levels for Hb at initial admission (13.3 vs. 12.2 g/dL, p=0.023), 3 rd day (12.6 vs. 11.7 g/dL, p=0.033) and 7 th day of hospitalization (12.5 vs. 9.8 g/dL, p=0.014) and for lymphocyte counts at initial admission (1200 vs. 800 cells/μL, p=0.014) and 3 rd day (1400 vs. 1200 cells/μL, p=0.043) of hospitalization. They also had significantly lower WBC counts at initial admission (5800 vs. 7900 x109/L, p=0.014), 3 rd day (5400 vs. 6047 x109/L, p=0.007) and 7 th day (6100 vs. 8400 x109/L, p=0.040) and last day (6200 vs. 17700 x109/L, p=0.018) of hospitalization and lower PLR at initial admission (165 vs. 294.5, p=0.002) and 3 rd hospitalization day (150 vs. 223, p=0.003). Conclusion: In conclusion, our findings emphasize clinical significance of dynamic monitoring of peripheral blood parameters, as combined with PLR, in assisting clinicians to identify COVID-19 patients with increased risk of worse outcomes.
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