Circulating Calprotectin as a Predictive and Severity Biomarker in Patients with COVID-19.
Circulating Calprotectin as a Predictive and Severity Biomarker in Patients with COVID-19.
复制标题
DOI：
10.3390/diagnostics12061324
复制
发表时间：
2022-05-27
期刊：
影响因子：
--
通讯作者：
中科院分区：
文献类型：
--
作者：
工作背景：用于评估和预测住院COVID-19患者严重程度的新工具可以帮助将有限的资源用于最需要的患者。钙卫蛋白（S100 A8/S100 A9）的循环水平反映了多种情况下的炎症活动，并已被描述为在COVID-19患者中升高，但其测量值并未常规使用。本研究的目的是评估测量患者入院时和住院期间循环钙卫蛋白水平的实用价值和预测价值。研究方法：使用自动定量荧光分析法测量了157名COVID-19住院患者的循环钙卫蛋白水平。结果：循环钙卫蛋白水平与患者呼吸补充需求的变化密切相关。循环钙卫蛋白水平的总体轨迹通常与患者改善或恶化相关。结论：循环钙卫蛋白水平的常规测量可能为评估和监测COVID-19住院患者以及其他急性炎症状况提供有价值的工具。
Background: New tools for the assessment and prediction of the severity of hospitalized COVID-19 patients can help direct limited resources to patients with the greatest need. Circulating levels of calprotectin (S100A8/S100A9) reflect inflammatory activity in multiple conditions, and have been described as being elevated in COVID-19 patients, but their measurement is not routinely utilized. The aim of our study was to assess the practical and predictive value of measuring circulating calprotectin levels in patients at admission and during their hospitalization. Methods: Circulating calprotectin levels were measured in 157 hospitalized patients with COVID-19 using an automated quantitative chemiluminescent assay. Results: Circulating calprotectin levels were strongly correlated with changing respiratory supplementation needs of patients. The overall trajectory of circulating calprotectin levels generally correlated with patient improvement or deterioration. Conclusions: Routine measurement of circulating calprotectin levels may offer a valuable tool to assess and monitor hospitalized patients with COVID-19, as well as other acute inflammatory conditions.
登录
查看更多内容
血浆蛋白质组学识别 COVID-19 的生物标志物和发病机制。
影响因子：
32.4
作者：
Shu T;Ning W;Wu D;Xu J;Han Q;Huang M;Zou X;Yang Q;Yuan Y;Bie Y;Pan S;Mu J;Han Y;Yang X;Zhou H;Li R;Ren Y;Chen X;Yao S;Qiu Y;Zhang DY;Xue Y;Shang Y;Zhou X
通讯作者：
Zhou X
地塞米松调节严重的Covid-19中未成熟的中性粒细胞和干扰素编程。
影响因子：
82.9
作者：
Sinha S;Rosin NL;Arora R;Labit E;Jaffer A;Cao L;Farias R;Nguyen AP;de Almeida LGN;Dufour A;Bromley A;McDonald B;Gillrie MR;Fritzler MJ;Yipp BG;Biernaskie J
通讯作者：
Biernaskie J
影响因子：
37.8
作者：
Croce K;Gao H;Wang Y;Mooroka T;Sakuma M;Shi C;Sukhova GK;Packard RR;Hogg N;Libby P;Simon DI
通讯作者：
Simon DI
影响因子：
5
作者：
Mylemans, Marnix;Nevejan, Louis;Van Hoovels, Lieve
通讯作者：
Van Hoovels, Lieve
影响因子：
30.3
作者：
Guo Q;Zhao Y;Li J;Liu J;Yang X;Guo X;Kuang M;Xia H;Zhang Z;Cao L;Luo Y;Bao L;Wang X;Wei X;Deng W;Wang N;Chen L;Chen J;Zhu H;Gao R;Qin C;Wang X;You F
通讯作者：
You F