Internal Medicine Department, University Hospital Puerta de Hierro, Majadahonda, Madrid, Spain; Medicine Department, Alfonso X El Sabio University, Madrid, Spain.
Emergency Department, Alicante General University Hospital-ISABIAL, Alicante, Spain.
Med Clin (Barc). 2022 Jul 8;159(1):19-26. doi: 10.1016/j.medcli.2021.07.012. Epub 2021 Sep 4.
There is growing evidence regarding the imaging findings of coronavirus disease 2019 (COVID-19) in lung ultrasound (LUS), however the use of a combined prognostic and triage tool has yet to be explored. To determine the impact of the LUS in the prediction of the mortality of patients with highly suspected or confirmed COVID-19.The secondary outcome was to calculate a score with LUS findings with other variables to predict hospital admission and emergency department (ED) discharge.
Prospective study performed in the ED of three academic hospitals. Patients with highly suspected or confirmed COVID-19 underwent a LUS examination and laboratory tests.
A total of 228 patients were enrolled between March and September 2020. The mean age was 61.9 years (Standard Deviation - SD 21.1). The most common findings in LUS was a right posteroinferior isolated irregular pleural line (53.9%, 123 patients). A logistic regression model was calculated, including age over 70 years, C-reactive protein (CRP) over 70mg/L and a lung score over 7 to predict mortality, hospital admission and discharge from the ED. We obtained a predictive model with a sensitivity of 56.8% and a specificity of 87.6%, with an AUC of 0.813 [p<0.001].
The combination of LUS, clinical and laboratory findings in this easy to apply "rule of 7" showed excellent performance to predict hospital admission and mortality.
越来越多的证据表明,肺超声(LUS)在 2019 年冠状病毒病(COVID-19)的影像学表现,然而,尚未探索使用综合预后和分诊工具。为了确定 LUS 在预测高度疑似或确诊 COVID-19 患者死亡率中的作用。次要结局是计算 LUS 发现与其他变量的联合评分,以预测住院和急诊科(ED)出院。
在三家学术医院的 ED 进行前瞻性研究。高度疑似或确诊 COVID-19 的患者接受 LUS 检查和实验室检查。
2020 年 3 月至 9 月期间共纳入 228 例患者。平均年龄为 61.9 岁(标准差 - SD 21.1)。LUS 最常见的表现是右后下隔不规则胸膜线(53.9%,123 例)。计算了一个包括年龄超过 70 岁、C 反应蛋白(CRP)超过 70mg/L 和肺部评分超过 7 分的逻辑回归模型,以预测死亡率、住院和从 ED 出院。我们得到了一个预测模型,其敏感性为 56.8%,特异性为 87.6%,AUC 为 0.813[P<0.001]。
该易于应用的“7 规则”中 LUS、临床和实验室发现的组合表现出优异的性能,可预测住院和死亡率。