Coronavirus disease 2019 (COVID-19) has spread widely in the communities in many countries. Although most of the mild patients could be cured by their body's ability to self-heal, many patients quickly progressed to severe disease and had to undergo treatment in the intensive care unit (ICU). Thus, it is very important to effectively predict which patients with mild disease are more likely to progress to severe disease. A total of 72 patients hospitalized with COVID-19 in Shandong Provincial Public Health Clinical Center and 1141 patients included in the published papers were enrolled in this study. We determined that the combination of interleukin-6 (IL-6), Neutrophil (NEUT), and Natural Killer (NK) cells had the highest prediction accuracy (with 75% sensitivity and 95% specificity) for progression of COVID-19 infection. A binomial regression equation that accounted for a multiple risk score for the combination of IL-6, NEUT, and NK was also established. The multiple risk score is a good indicator for early stratification of mild patients into risk categories, which is very important for adjusting the treatment plan and preventing death.

中文翻译：

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多生物标志物是 2019 年冠状病毒病 (COVID-19) 感染进展的早期预测因子

2019 年冠状病毒病 (COVID-19) 已在许多国家的社区广泛传播。虽然大多数轻症患者可以通过身体的自愈能力治愈，但许多患者很快就进展为重症，不得不在重症监护室（ICU）接受治疗。因此，有效预测哪些轻度疾病患者更有可能进展为重度疾病非常重要。本研究共纳入了山东省公共卫生临床中心住院的 72 名 COVID-19 患者以及已发表论文中的 1141 名患者。我们确定，白细胞介素 6 (IL-6)、中性粒细胞 (NEUT) 和自然杀伤 (NK) 细胞的组合对 COVID-19 感染进展的预测准确度最高（敏感性为 75%，特异性为 95%）。还建立了解释 IL-6、NEUT 和 NK 组合的多重风险评分的二项式回归方程。多重风险评分是轻症患者早期分层风险类别的良好指标，对于调整治疗方案和预防死亡非常重要。