超声引导下肺病变指数作为治疗结果的预测因子:388例冠状病毒感染患者的队列研究

R. E. Lakhin, E. A. Zhirnova, A. Shchegolev, I. Zheleznyak, I. Menkov, A. A. Chugunov
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引用次数: 0

摘要

介绍。目前在COVID-19的诊断和疾病预后方面有大量的肺超声(LUS)文章。目标。评价超声引导下新冠肺炎患者肺部病变指数(UIL)与CT肺部受累体积及疾病结局的关系材料和方法。一项前瞻性观察队列临床研究纳入了388例18-75岁的患者;确诊为肺炎合并COVID-19或疑似COVID-19。胸部脏器CT扫描后24小时内按16区“俄罗斯方案”行肺超声检查。结果。CT上肺病变中位体积为55 (35-74)%,UIL为46(28-60)分。UIL与CT示肺受累体积变化呈正相关,为0.873 (95% CI 0.842 ~ 0.897, p < 0.01),与SpO2/FiO2指数呈负相关,为0.850 (95% CI 0.827 ~ 0.871, p < 0.01)。死亡56例(14.4%)(p = 0.018)。ROC分析预测死亡率的最佳截断点为55点,灵敏度为97.6%,特异性为73.9%,曲线下面积为0.896 (95% CI 0.861-0.931)。Kaplan- Meier对整个数据集(n = 388)的分析显示,UIL评分小于55分的组生存率为97.6%,UIL评分大于55分的组生存率为62%。组间差异有统计学意义(Log Rank检验p < 0.001;Breslow检验p < 0.001)。因此,采用逐步排除法的多变量Cox回归分析显示,只有UIL仍然是不良结局的显著预测因子(p < 0.01)。结论。16区“俄罗斯方案”确定的UIL与呼吸衰竭的严重程度和肺损伤量相关,是疾病预后不良的预测因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ultrasound-guided lung lesion index as a predictor of treatment outcomes: cohort study of 388 patients with coronavirus infection
INTRODUCTION. Currently there are a lot of articles of lung ultrasound (LUS) in COVID-19 both in the diagnosis and in the prognosis of the disease. OBJECTIVE. Evaluation of the relationship between the ultrasound-guided lung lesion index (UIL) with the volume of lung involvement determined by computed tomography (CT) and disease outcomes in patients with COVID-19. MATERIALS AND METHODS. A prospective observational cohort clinical study included 388 patients aged 18-75 years; diagnosed with pneumonia with COVID-19 or suspected COVID-19. Lung ultrasound was performed according to the 16-zone “Russian Protocol” within 24 hours after CT scan of the chest organs. RESULTS. The median lung lesion volume on CT was 55 (35-74) % and UIL was 46 (28-60) points. UIL had a strong direct correlation of 0.873 (95 % CI 0.842-0.897, p < 0.01) with the change in the volume of lung involvement determined by CT and the inverse with the SpO2/FiO2 index - 0.850 (95 % CI 0.827-0.871, p < 0.01). Mortality was 56 patients (14.4 %) (p = 0.018). The optimal cut-off point for ROC analysis in predicting mortality was 55 points and had a sensitivity of 97.6 % and a specificity of 73.9 % with an area under the curve of 0.896 (95 % CI 0.861-0.931). Kaplan- Meier analysis on the entire data set (n = 388) demonstrated a survival rate of 97.6 % in the group with a UIL score less than 55 points and 62 % in the group with a UIL score more than 55 points. Differences between groups were statistically significant (Log Rank test p < 0.001; Breslow test p < 0.001). As a result, multivariate Cox regression analysis, using the stepwise exclusion method, only UIL remained a significant predictor of adverse outcome (p < 0.01). CONCLUSIONS. UIL determined by 16-zone “Russian protocol” correlated with severity of respiratory failure and volume of lung injury and was a predictor of adverse prognosis of disease outcome.
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