Department of Obesity and Metabolic Surgery, Ospedale Evangelico Betania, Naples, Italy.
Division of Endocrinology, Department of Medicine, University of Alberta, Edmonton, AB, Canada.
Int J Obes (Lond). 2020 Aug;44(8):1790-1792. doi: 10.1038/s41366-020-0597-4. Epub 2020 May 14.
Coronavirus disease 2019 (COVID-19) and the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses a particular risk to people living with preexisting conditions that impair immune response or amplify pro-inflammatory response. Low-grade chronic systemic inflammation, common in people with obesity, is associated with the development of atherosclerosis, type 2 diabetes, and hypertension, well known comorbidities that adversely affect the outcomes of patients with COVID-19. Risk stratification based on the Edmonton Obesity Staging System (EOSS), which classifies obesity based on the presence of medical, mental, and/or functional complications rather than on body mass index (BMI), has been shown to be a better predictor of all-cause mortality and it may well be that EOSS stages may better describe the risk of hyperinflammation in patients with COVID-19 infection. Analyzing a group of metabolic ill patients with obesity (EOSS 2 and 3), we found an increased interleukin-6 and linear regression analysis showed a positive correlation with C-reactive protein (CRP) (p = 0.014) and waist-to-hip-ratio (WHR) (p = 0.031). Physicians should be aware of these findings in patients with COVID-19 infection. Early identification of possible hyperinflammation could be fundamental and should guide decision making regarding hospitalization, early respiratory support, and therapy with immunosuppression to improve mortality.
2019 年冠状病毒病(COVID-19)和严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)的风险对那些存在损害免疫反应或放大促炎反应的既往疾病的人构成特殊风险。肥胖人群中常见的低度慢性系统性炎症与动脉粥样硬化、2 型糖尿病和高血压的发展有关,这些都是众所周知的合并症,会对 COVID-19 患者的结局产生不利影响。基于埃德蒙顿肥胖分期系统(EOSS)的风险分层,该系统根据是否存在医疗、精神和/或功能并发症而不是体重指数(BMI)来对肥胖进行分类,已被证明是全因死亡率的更好预测指标,EOSS 分期可能更能描述 COVID-19 感染患者的过度炎症风险。我们分析了一组患有肥胖症的代谢紊乱患者(EOSS 2 和 3),发现白细胞介素 6 增加,线性回归分析显示与 C 反应蛋白(CRP)呈正相关(p=0.014)和腰臀比(WHR)(p=0.031)。医生应该在 COVID-19 感染患者中注意到这些发现。早期识别可能的过度炎症可能至关重要,并应指导关于住院、早期呼吸支持和免疫抑制治疗的决策,以提高死亡率。