Simon Paul, Le Borgne Pierrick, Lefevbre François, Cipolat Lauriane, Remillon Aline, Dib Camille, Hoffmann Mathieu, Gardeur Idalie, Sabah Jonathan, Kepka Sabrina, Bilbault Pascal, Lavoignet Charles-Eric, Abensur Vuillaume Laure
Emergency Department, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France.
Medicine Faculty, Strasbourg University, 67000 Strasbourg, France.
J Clin Med. 2022 Aug 21;11(16):4903. doi: 10.3390/jcm11164903.
(1) Introduction: In the present study, we investigate the prognostic value of platelet-to-lymphocyte ratio (PLR) as a marker of severity and mortality in COVID-19 infection. (2) Methods: Between 1 March and 30 April 2020, we conducted a multicenter, retrospective cohort study of patients with moderate to severe coronavirus 19 (COVID-19), all of whom were hospitalized after being admitted to the emergency department (ED). (3) Results: A total of 1035 patients were included in our study. Neither lymphocytes, platelets or PLR were associated with disease severity. Lymphocyte count was significantly lower and PLR values were significantly higher in the group of patients who died, and both were associated with mortality in the univariate analysis (OR: 0.524, 95% CI: (0.336−0.815), p = 0.004) and (OR: 1.001, 95% CI: (1.000−1.001), p = 0.042), respectively. However, the only biological parameter significantly associated with mortality in the multivariate analysis was platelet count (OR: 0.996, 95% CI: (0.996−1.000), p = 0.027). The best PLR value for predicting mortality in COVID-19 was 356.6 (OR: 3.793, 95% CI: (1.946−7.394), p < 0.001). (4) Conclusion: A high PLR value is however associated with excess mortality.
(1) 引言:在本研究中,我们调查了血小板与淋巴细胞比值(PLR)作为新型冠状病毒肺炎(COVID-19)感染严重程度和死亡率标志物的预后价值。(2) 方法:在2020年3月1日至4月30日期间,我们对中度至重度冠状病毒病19(COVID-19)患者进行了一项多中心回顾性队列研究,所有患者均在急诊科(ED)就诊后住院。(3) 结果:我们的研究共纳入1035例患者。淋巴细胞、血小板或PLR均与疾病严重程度无关。死亡患者组的淋巴细胞计数显著降低,PLR值显著升高,在单因素分析中两者均与死亡率相关(OR:0.524,95%CI:(0.336 - 0.815),p = 0.004)和(OR:1.001,95%CI:(1.000 - 1.001),p = 0.042)。然而,多因素分析中唯一与死亡率显著相关的生物学参数是血小板计数(OR:0.996,95%CI:(0.996 - 1.000),p = 0.027)。预测COVID-19死亡率的最佳PLR值为356.6(OR:3.793,95%CI:(1.946 - 7.394),p < 0.001)。(4) 结论:然而,高PLR值与额外死亡率相关。