Department of Biochemistry, University Hospital of Caen, Caen, France
Department of Biostatistics and Clinical Research, University Hospital of Caen, Caen, France
Ann Biol Clin (Paris). 2022 Jul 1;80(4):363-368. doi: 10.1684/abc.2022.1725.
To prevent the crisis-level shortage of beds in hospitals and for a more efficient support, it’s necessary to early identify coronavirus disease-19 (Covid-19) patients at risk to develop a severe form of the disease.
The goal of our study was to determine whether biological markers, including the serum ferritin, could predict the severity of the Covid-19.
One hundred and seventy-one patients, who were admitted to Caen University Hospital, were included retrospectively with a positive diagnosis of Covid-19 by RT-PCR. A serum ferritin measurement was performed for all patients. They were further classified either into a non-severe or a severe group based on their hospitalization in intense care unit (ICU) for mechanical ventilation or death.
Univariate analysis revealed a significant association between increased serum ferritin and CRP levels, obesity, CT scan lesions, pathological respiratory rate, decreased PaO2/FiO2 ratio, the NEWS-2 score and the severe (n = 59) vs the non-severe (n = 112) outcome of Covid-19 patients. However, in a multivariate analysis, only CRP and obesity were associated with the severe form of Covid-19.
While pathological level of serum ferritin at admission is associated with severe form of Covid-19, combination of increased CRP level and obesity would better predict the severity of the disease.
为了防止医院病床出现危机性短缺，并提供更有效的支持，有必要早期识别可能发展为严重疾病的新冠病毒肺炎（COVID-19）患者。
我们的研究旨在确定包括血清铁蛋白在内的生物学标志物是否可以预测 COVID-19 的严重程度。
我们回顾性纳入了 171 名在卡昂大学医院就诊的 COVID-19 阳性患者，所有患者均进行了血清铁蛋白检测。根据患者是否因机械通气而入住重症监护病房（ICU）或是否死亡，将其进一步分为非重症组或重症组。
单因素分析显示，血清铁蛋白和 C 反应蛋白（CRP）水平升高、肥胖、CT 扫描病变、呼吸频率异常、PaO2/FiO2 比值降低、 NEWS-2 评分与 COVID-19 患者的重症（n=59）和非重症（n=112）结局显著相关。然而，多因素分析显示，仅 CRP 和肥胖与 COVID-19 的重症形式相关。
入院时血清铁蛋白的病理水平与 COVID-19 的重症形式相关，而 CRP 水平升高和肥胖的联合则可以更好地预测疾病的严重程度。
