Predictive validity of the simplified Radiographic Assessment of Lung Edema score for the mortality in critically ill COVID-19 patients with the B.1.617.2 (Delta) variant in Vietnam: a single-centre, cross-sectional study

Son Ngoc Do, Tuan Quoc Dang, Chinh Quoc Luong, My Ha Nguyen, Dung Thi Pham, Viet Khoi Nguyen, Tan Dang Do, Thai Quoc Nguyen, Vuong Minh Nong, Khoi Hong Vo, Tan Cong Nguyen, Nhung Hong Khuat, Quynh Thi Pham, Dat Tien Hoang, Anh Diep Nguyen, Phuong Minh Nguyen, Duong Dai Cao, Dung Thuy Pham, Dung Tuan Dang, Dat Tuan Nguyen, Vinh Duc Nguyen, Thuan Quang Le, Hung Duc Ngo, Dung Van Nguyen, Thach The Pham, Dung Tien Nguyen, Nguyen Trung Nguyen, Nhung Thi Huynh, Nga Thu Phan, Cuong Duy Nguyen, Thom Thi Vu, Cuong Duy Do, Chi Van Nguyen, Giap Van Vu, Co Xuan Dao
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Abstract

Background Evaluating the prognosis of COVID-19 patients who may be at risk of mortality using the simple chest X-ray (CXR) severity scoring systems provides valuable insights for treatment decisions. This study aimed to assess how well the simplified Radiographic Assessment of Lung Edema (RALE) score could predict the death of critically ill COVID-19 patients in Vietnam. Methods From July 30 to October 15, 2021, we conducted a cross-sectional study on critically ill COVID-19 adult patients at an intensive care centre in Vietnam. We calculated the areas under the receiver operator characteristic (ROC) curve (AUROC) to determine how well the simplified RALE score could predict hospital mortality. In a frontal CXR, the simplified RALE score assigns a score to each lung, ranging from 0 to 4. The overall severity score is the sum of points from both lungs, with a maximum possible score of 8. We also utilized ROC curve analysis to find the best cut-off value for this score. Finally, we utilized logistic regression to identify the association of simplified RALE score with hospital mortality. Results Of 105 patients, 40.0% were men, the median age was 61.0 years (Q1-Q3: 52.0-71.0), and 79.0% of patients died in the hospital. Most patients exhibited bilateral lung opacities on their admission CXRs (99.0%; 100/102), with the highest occurrence of opacity distribution spanning three (18.3%; 19/104) to four quadrants of the lungs (74.0%; 77/104) and a high median simplified RALE score of 8.0 (Q1-Q3: 6.0-8.0). The simplified RALE score (AUROC: 0.747 [95% CI: 0.617-0.877]; cut-off value >=5.5; sensitivity: 93.9%; specificity: 45.5%; PAUROC <0.001) demonstrated a good discriminatory ability in predicting hospital mortality. After adjusting for confounding factors such as age, gender, Charlson Comorbidity Index, serum interleukin-6 level upon admission, and admission severity scoring systems, the simplified RALE score of >=5.5 (adjusted OR: 18.437; 95% CI: 3.215-105.741; p =0.001) was independently associated with an increased risk of hospital mortality. Conclusions This study focused on a highly selected cohort of critically ill COVID-19 patients with a high simplified RALE score and a high mortality rate. Beyond its good discriminatory ability in predicting hospital mortality, the simplified RALE score also emerged as an independent predictor of hospital mortality.
越南 COVID-19 B.1.617.2(Delta)变异型重症患者死亡率的简化肺水肿影像学评估评分的预测有效性:一项单中心横断面研究
背景 使用简单的胸部 X 光(CXR)严重程度评分系统评估可能面临死亡风险的 COVID-19 患者的预后,可为治疗决策提供有价值的见解。本研究旨在评估简化的肺水肿放射学评估(RALE)评分能在多大程度上预测越南 COVID-19 重症患者的死亡。方法 2021 年 7 月 30 日至 10 月 15 日,我们对越南一家重症监护中心的 COVID-19 成年重症患者进行了横断面研究。我们计算了接收器操作者特征曲线(ROC)下的面积(AUROC),以确定简化 RALE 评分预测住院死亡率的能力。我们还利用 ROC 曲线分析找出了该评分的最佳临界值。最后,我们利用逻辑回归来确定简化 RALE 评分与住院死亡率之间的关系。结果 在 105 名患者中,40.0% 为男性,中位年龄为 61.0 岁(Q1-Q3:52.0-71.0),79.0% 的患者死于医院。大多数患者的入院 CXR 表现为双侧肺不张(99.0%;100/102),肺不张分布跨越肺的三个象限(18.3%;19/104)至四个象限(74.0%;77/104),中位简化 RALE 评分高达 8.0(Q1-Q3:6.0-8.0)。简化 RALE 评分(AUROC:0.747 [95% CI:0.617-0.877];截断值>=5.5;灵敏度:93.9%;特异性:45.5%;PAUROC<0.001)在预测住院死亡率方面表现出良好的鉴别能力。在调整了年龄、性别、Charlson 合并症指数、入院时血清白细胞介素-6 水平和入院严重程度评分系统等混杂因素后,简化 RALE 评分为 >=5.5(调整 OR:18.437;95% CI:3.215-105.741;p =0.001)与住院死亡率风险增加有独立关联。结论 本研究的重点是高度精选的 COVID-19 重症患者队列,这些患者的简化 RALE 评分较高,死亡率也较高。简化 RALE 评分除了在预测住院死亡率方面具有良好的鉴别能力外,还是住院死亡率的独立预测因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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