血小板次数中性粒细胞与淋巴细胞比值(SII指数)对COVID-19住院死亡率的预测价值

Santiago J Ballaz, Martha Fors
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摘要

目的:血小板次数中性粒细胞与淋巴细胞比值即全身免疫炎症(SII)指数作为新冠肺炎预后不良的预测指标,是一项结果有争议的炎症指标。在这项研究中,对厄瓜多尔基多一家COVID-19参考医院收治的3280名患者进行了这一指标分析。方法:对入院时SII值进行受试者工作特征(ROC)曲线分析,寻找区分COVID-19严重程度和住院死亡率的最合适截断值。结果:重症患者和最终死亡患者的SII均较高(分界点分别为757.3和808.5)。然而,AUC-ROC分析(0.60-0.67)显示SII对COVID-19严重程度的区分性能适中(敏感性为61.2%,特异性为61.5%),对COVID-19死亡率的区分性能显著提高(AUC-ROC: 0.73-0.83,敏感性:80.6%特异性;63.6%)。结论:SII指数很可能是COVID-19继发炎症导致更高死亡率的指标,而不是疾病严重形式的预测指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Predictive Value of the Platelet Times Neutrophil-to-Lymphocyte Ratio (SII Index) for COVID-19 In-Hospital Mortality.

Objective: The performance of the platelet times neutrophil-to-lymphocyte ratio, namely systemic immune inflammation (SII) index, is an inflammatory index that shows controversial results as a predicting indicator of the poor outcomes of COVID-19. In this study, this indicator was analyzed in 3280 patients admitted at a COVID-19 reference hospital in Quito (Ecuador).

Methods: The Receiver Operating Characteristic (ROC) curve analysis was conducted on SII values upon admission to identify the most appropriate cut-off values in discriminating COVID-19 severity and in-hospital mortality.

Results: SII was higher in both severe patients and in those who finally died (cut-off points of 757.3 and 808.5 respectively). However, the AUC-ROC analysis (0.60-0.67) demonstrated a modest discriminating performance of SII for COVID-19 severity (61.2% sensitivity and 61.5% specificity), which sensibly improved for COVID-19 mortality (AUC-ROC: 0.73-0.83, sensitivity: 80.6% specificity; 63.6%).

Conclusion: SII index may well be an indicator of inflammatory conditions secondary to COVID-19 leading to a higher mortality, rather than a predictor of severe forms of the disease.

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