Chest X-ray severity index as a predictor of in-hospital mortality in coronavirus disease 2019: A study of 302 patients from Italy
Chest X-ray severity index as a predictor of in-hospital mortality in coronavirus disease 2019: A study of 302 patients from Italy
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DOI：
10.1016/j.ijid.2020.05.021
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发表时间：
2020-07-01
影响因子：
8.4
通讯作者：
Maroldi, Roberto
中科院分区：
文献类型：
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作者：
Borghesi, Andrea;Zigliani, Angelo;Maroldi, Roberto
目的：本研究旨在评估一种新的胸部X线评分系统-Brixia评分-预测2019冠状病毒病（COVID-19）住院患者住院死亡风险的有用性。方法：在2020年3月4日至2020年3月24日期间，检索所有CXR报告，包括Brixia评分。我们仅招募了最终结局可用的住院白人COVID-19患者。对于每例患者，考虑分析年龄、性别、基础合并症、免疫抑制治疗和包含最高评分的CXR报告。使用多变量logistic回归模型对这些自变量进行分析，以提取院内死亡率的预测因素。结果：302例因COVID-19住院的白人患者入选。在多变量logistic回归模型中，只有Brixia评分、患者年龄和诱导免疫抑制的条件是院内死亡率的重要预测因素。根据受试者工作特征曲线分析，Brixia评分和患者年龄的最佳截止值分别为8分和71岁。三种不同的模型，包括Brixia评分表现出很好的predictive power.Conclusions：患者具有较高的Brixia评分和至少一个其他预测因素的院内死亡的风险最高。(C)2020作者（S）由爱思唯尔有限公司代表国际传染病学会出版。
Objectives: This study aimed to assess the usefulness of a new chest X-ray scoring system - the Brixia score - to predict the risk of in-hospital mortality in hospitalized patients with coronavirus disease 2019 (COVID-19).Methods: Between March 4, 2020 and March 24, 2020, all CXR reports including the Brixia score were retrieved. We enrolled only hospitalized Caucasian patients with COVID-19 for whom the final outcome was available. For each patient, age, sex, underlying comorbidities, immunosuppressive therapies, and the CXR report containing the highest score were considered for analysis. These independent variables were analyzed using a multivariable logistic regression model to extract the predictive factors for inhospital mortality.Results: 302 Caucasian patients who were hospitalized for COVID-19 were enrolled. In the multivariable logistic regression model, onlyBrixia score, patient age, and conditions that induced immunosuppression were the significant predictive factors for in-hospital mortality. According to receiver operating characteristic curve analyses, the optimal cutoff values for Brixia score and patient age were 8 points and 71 years, respectively. Three different models that included the Brixia score showed excellent predictive power.Conclusions: Patients with a high Brixia score and at least one other predictive factor had the highest risk of in-hospital death. (C) 2020 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.