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中性粒细胞与淋巴细胞比值及血小板与淋巴细胞比值作为预测COVID-19患者病情严重程度的标志物:一项前瞻性观察研究。

Neutrophil-to-lymphocyte Ratio and Platelet-to-lymphocyte Ratio as Markers for Predicting the Severity in COVID-19 Patients: A Prospective Observational Study.

作者信息

Singh Yudhyavir, Singh Abhishek, Rudravaram Swetha, Soni Kapil D, Aggarwal Richa, Patel Nishant, Wig Naveet, Trikha Anjan

机构信息

Department of Anaesthesiology, Critical Care and Pain Medicine, All India Institute of Medical Sciences, New Delhi, India.

Department of Anaesthesiology, Critical Care and Pain Medicine, New Delhi, India.

出版信息

Indian J Crit Care Med. 2021 Aug;25(8):847-852. doi: 10.5005/jp-journals-10071-23906.

Abstract

Coronavirus disease-2019 (COVID-19) pandemic has shown unpredictable course in individual patients. Few patients develop severe disease with progression after admission to a healthcare facility. Multiple parameters have been investigated to identify a marker to predict disease progression. Neutrophil-to-lymphocyte ratio (NLR) or platelet-to-lymphocyte (PLR) ratio has shown some promise. The current investigation explores the role of NLR and PLR to predict the disease progression. After obtaining ethics committee approval, 608 patients were screened for inclusion in the prospective observational study, and 201 patients were included in the final analysis. The NLR and PLR were derived from routinely obtained complete blood count analysis. The patients were followed to determine the development of severity of the disease during the course. The NLR and PLR were analyzed in both univariate and multivariable models to assess the association and prediction. In nonsevere (NS) group, the mean age of patients was 50.9 ± 16.3 years, and 66 (61.2%) were male, while in severe group (S), the mean age of patients was 53.7 ± 16.4 years, and 65 (69.89%) were male. NLR at day 1 and day 3 was significantly lower in survivors as compared to nonsurvivors, while the relation of PLR in both the groups was not statistically significant. The NLR is better in predicting the severity of disease as well as mortality than PLR. The NLR calculated at the time of admission has high predictive value for disease deterioration and adverse clinical outcome. Singh Y, Singh A, Rudravaram S, Soni KD, Aggarwal R, Patel N, Neutrophil-to-lymphocyte Ratio and Platelet-to-lymphocyte Ratio as Markers for Predicting the Severity in COVID-19 Patients: A Prospective Observational Study. Indian J Crit Care Med 2021;25(8):847-852.

摘要

2019冠状病毒病(COVID-19)大流行在个体患者中呈现出不可预测的病程。少数患者在入住医疗机构后病情进展并发展为重症。人们已经研究了多个参数以确定预测疾病进展的标志物。中性粒细胞与淋巴细胞比值(NLR)或血小板与淋巴细胞比值(PLR)已显示出一定的前景。当前的研究探讨了NLR和PLR在预测疾病进展中的作用。在获得伦理委员会批准后,对608例患者进行筛选以纳入前瞻性观察性研究,最终201例患者纳入分析。NLR和PLR来自常规获得的全血细胞计数分析。对患者进行随访以确定病程中疾病严重程度的发展情况。在单变量和多变量模型中分析NLR和PLR,以评估其关联性和预测性。在非重症(NS)组中,患者的平均年龄为50.9±16.3岁,男性66例(61.2%),而在重症组(S)中,患者的平均年龄为53.7±16.4岁,男性65例(69.89%)。与非幸存者相比,幸存者在第1天和第3天的NLR显著更低,而两组中PLR的关系无统计学意义。NLR在预测疾病严重程度和死亡率方面比PLR更好。入院时计算的NLR对疾病恶化和不良临床结局具有较高的预测价值。辛格Y、辛格A、鲁德瓦拉姆S、索尼KD、阿加瓦尔R、帕特尔N,中性粒细胞与淋巴细胞比值和血小板与淋巴细胞比值作为预测COVID-19患者严重程度的标志物:一项前瞻性观察性研究。《印度重症医学杂志》2021年;25(8):847 - 852。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5bf/8559739/858ab8d9cc87/ijccm-25-847-f001.jpg

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