School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia.
Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
Rev Saude Publica. 2020;54:60. doi: 10.11606/s1518-8787.2020054002481. Epub 2020 Jun 1.
The World Health Organization has emphasized that one of the most important questions to address regarding the covid-19 pandemic is to understand risk factors for disease severity. We conducted a brief review that synthesizes the available evidence and provides a judgment on the consistency of the association between risk factors and a composite end-point of severe-fatal covid-19. Additionally, we also conducted a comparability analysis of risk factors across 17 studies. We found evidence supporting a total of 60 predictors for disease severity, of which seven were deemed of high consistency, 40 of medium and 13 of low. Among the factors with high consistency of association, we found age, C-reactive protein, D-dimer, albumin, body temperature, SOFA score and diabetes. The results suggest that diabetes might be the most consistent comorbidity predicting disease severity and that future research should carefully consider the comparability of reporting cases, factors, and outcomes along the different stages of the natural history of covid-19.
世界卫生组织强调，解决新冠疫情最重要的问题之一是了解疾病严重程度的风险因素。我们进行了简要回顾，综合了现有证据，并对风险因素与严重/致命新冠复合终点之间的关联一致性做出判断。此外，我们还对 17 项研究中的风险因素进行了可比性分析。我们发现有证据支持总共 60 个疾病严重程度预测因素，其中 7 个被认为一致性高，40 个为中，13 个为低。在具有高度关联一致性的因素中，我们发现年龄、C 反应蛋白、D-二聚体、白蛋白、体温、SOFA 评分和糖尿病。结果表明，糖尿病可能是预测疾病严重程度最一致的合并症，未来的研究应仔细考虑在新冠自然史的不同阶段报告病例、因素和结果的可比性。
