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The Neutrophil-to-Monocyte Ratio and Lymphocyte-to-Neutrophil Ratio at Admission Predict In-Hospital Mortality in Mexican Patients with Severe SARS-CoV-2 Infection (Covid-19)
Microorganisms ( IF 4.5 ) Pub Date : 2020-10-10 , DOI: 10.3390/microorganisms8101560
Salma A. Rizo-Téllez , Lucia A. Méndez-García , Cruz Flores-Rebollo , Fernando Alba-Flores , Raúl Alcántara-Suárez , Aarón N. Manjarrez-Reyna , Neyla Baltazar-López , Verónica A. Hernández-Guzmán , José I. León-Pedroza , Rogelio Zapata-Arenas , Antonio González-Chávez , Joselín Hernández-Ruíz , José D. Carrillo-Ruíz , Raúl Serrano-Loyola , Guadalupe M. L. Guerrero-Avendaño , Galileo Escobedo

There is a deep need for mortality predictors that allow clinicians to quickly triage patients with severe coronavirus disease 2019 (Covid-19) into intensive care units at the time of hospital admission. Thus, we examined the efficacy of the lymphocyte-to-neutrophil ratio (LNR) and neutrophil-to-monocyte ratio (NMR) as predictors of in-hospital death at admission in patients with severe Covid-19. A total of 54 Mexican adult patients with Covid-19 that met hospitalization criteria were retrospectively enrolled, followed-up daily until hospital discharge or death, and then assigned to survival or non-survival groups. Clinical, demographic, and laboratory parameters were recorded at admission. A total of 20 patients with severe Covid-19 died, and 75% of them were men older than 62.90 ± 14.18 years on average. Type 2 diabetes, hypertension, and coronary heart disease were more prevalent in non-survivors. As compared to survivors, LNR was significantly fourfold decreased while NMR was twofold increased. LNR ≤ 0.088 predicted in-hospital mortality with a sensitivity of 85.00% and a specificity of 74.19%. NMR ≥ 17.75 was a better independent risk factor for mortality with a sensitivity of 89.47% and a specificity of 80.00%. This study demonstrates for the first time that NMR and LNR are accurate predictors of in-hospital mortality at admission in patients with severe Covid-19.

中文翻译:

入院时中性粒细胞/单核细胞比率和淋巴细胞/中性粒细胞比率预​​测墨西哥严重SARS-CoV-2感染患者的住院死亡率(Covid-19)

迫切需要死亡率预测指标,以便临床医生在入院时将患有严重冠状病毒病2019(Covid-19)的患者快速分为重症监护病房。因此,我们检查了重度Covid-19患者入院时淋巴细胞与嗜中性粒细胞比率(LNR)和嗜中性粒细胞与单核细胞比率(NMR)预测院内死亡的功效。回顾性纳入54名符合住院标准的墨西哥Covid-19成年患者,每天进行随访,直至出院或死亡,然后分配至存活或非存活组。入院时记录临床,人口统计学和实验室参数。共有20例严重的Covid-19重症患者死亡,其中75%是平均年龄超过62.90±14.18岁的男性。2型糖尿病,高血压,和冠心病在非幸存者中更为普遍。与幸存者相比,LNR显着降低了四倍,而NMR则增加了两倍。LNR≤0.088预测的院内死亡率,灵敏度为85.00%,特异性为74.19%。NMR≥17.75是较好的死亡率独立危险因素,敏感性为89.47%,特异性为80.00%。这项研究首次证明NMR和LNR是重度Covid-19患者入院时医院内死亡率的准确预测指标。75是较好的死亡率独立危险因素,敏感性为89.47%,特异性为80.00%。这项研究首次证明NMR和LNR是重度Covid-19患者入院时医院内死亡率的准确预测指标。75是较好的死亡率独立危险因素,敏感性为89.47%,特异性为80.00%。这项研究首次证明NMR和LNR是重度Covid-19患者入院时医院内死亡率的准确预测指标。
更新日期:2020-10-11
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