一个用于COVID-19严重性预测的新实验室工具,CENIL得分
Elif Mukime Saricaoglu1, Belgin Coskun2, Muge Ayhan2
1Department of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Ankara University, Ankara 06100, Turkey.
Diagnostics (Basel, Switzerland)
|November 27, 2024
概括
一个新的CENIL风险评分,使用C-反应性,乙素,中性粒细胞-淋巴细胞比率,介质蛋白-6和乳酸脱酶,有助于预测严重的COVID-19肺炎. 3分或更高的分数表明疾病进展的风险很高.
科学领域:
- 传染性疾病 传染性疾病
- 临床诊断 临床诊断 临床诊断
- 生物标志物研究 生物标志物研究
背景情况:
- 预测严重的COVID-19肺炎对于及时干预至关重要.
- 对于COVID-19患者严重结局的危险因素需要进一步调查.
- 实验室参数为早期风险分层提供了潜在的可能性.
研究的目的:
- 评估COVID-19患者严重肺炎实验室参数的预测重要性.
- 为了确定与严重的COVID-19进展相关的关键生物标志物.
- 开发一个风险评分来预测严重的COVID-19结果.
主要方法:
- 472名COVID-19患者的回顾性队列研究.
- 在入院时对生化,血液学,凝血和炎症标志物的分析.
- 在非严重和严重的COVID-19组之间对实验室参数进行比较.
主要成果:
- 甲基C反应性,乙氨基细胞数,中性粒细胞-淋巴细胞比率,白蛋白-6,乳酸脱酶是严重疾病的独立预测因素.
- 这些生物标志物形成了CENIL风险评分 (0-5分).
- 一个CENIL分数切断线,对3名具有严重COVID-19进展高风险的确诊患者.
结论:
- 塞尼尔风险评分包括CRP,乙氨基,NLR,IL-6和LDH,在诊断时有效预测严重的COVID-19.
- 临床医生可以使用高CENIL风险评分来提高对严重疾病发展的警.
- 这一分数有助于识别需要更密切监测和管理的患者.
相关概念视频
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT
3
Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
3
Sensitivity, Specificity, and Predicted Value
192
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Sensitivity is the...
192
Receiver Operating Characteristic Plot
82
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
82
Statistical Software for Data Analysis and Clinical Trials
494
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
494


