Department of Anesthesiology, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok, Thailand.
Department of Internal Medicine, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok, Thailand.
PLoS One. 2023 Jun 21;18(6):e0287432. doi: 10.1371/journal.pone.0287432. eCollection 2023.
Patients with mild-to-moderate coronavirus disease 2019 (COVID-19)-associated acute respiratory distress syndrome (ARDS) can be treated with a high-flow nasal cannula (HFNC). The use of the respiratory rate-oxygenation (ROX) index, calculated as the ratio of oxygen saturation (SpO2)/fractional oxygen (FiO2) to respiratory rate, in the first few hours after HFNC initiation can help identify patients who fail HFNC therapy later. However, few studies have documented the use of the ROX index during the period of HFNC therapy. Therefore, we aimed to demonstrate the diagnostic performance of the ROX index when calculated throughout the HFNC therapy period and to determine the best cut-off point for predicting HFNC failure. We conducted a retrospective study of patients with COVID-19-associated ARDS who commenced HFNC at the Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Thailand, between April 1 and August 30, 2021. We calculated the ROX index every 4 h throughout the HFNC therapy period and defined HFNC failure as a subsequent endotracheal tube intubation. The performance of the ROX index was analyzed using the area under the receiver operating characteristic curve (AUC). We applied the ROX index ≤ 4.88 to predict HFNC failure and obtained a new ROX cut-off point using Youden's method. In total, 212 patients with COVID-19 treated with HFNC were included in the study. Of these, 81 patients (38.2%) experienced HFNC failure. The ROX index ≤ 4.88 demonstrated a reasonable performance in predicting HFNC failure (AUC, 0.77; 95% confidence interval [CI], 0.72-0.83; p<0.001). However, compared with the original cut-off point of ≤ 4.88, the new ROX index cut-off point of ≤ 5.84 delivered optimal performance (AUC, 0.84; 95% CI, 0.79-0.88; p<0.001), with a significantly better discriminative ability (p = 0.007). In conclusion, a ROX index ≤ 5.84 was found to be optimal for predicting HFNC failure in patients with COVID-19-associated ARDS.
患者患有轻度至中度 2019 年冠状病毒病(COVID-19)相关急性呼吸窘迫综合征(ARDS),可以使用高流量鼻导管(HFNC)进行治疗。HFNC 开始后最初几个小时内,使用呼吸频率-氧合(ROX)指数,计算方法为氧饱和度(SpO2)/氧气分数(FiO2)与呼吸频率的比值,可以帮助识别随后 HFNC 治疗失败的患者。然而,很少有研究记录在 HFNC 治疗期间使用 ROX 指数。因此,我们旨在证明 ROX 指数在整个 HFNC 治疗期间的诊断性能,并确定预测 HFNC 失败的最佳截断点。我们对 2021 年 4 月 1 日至 8 月 30 日期间在泰国纳瓦明德拉迪拉杰大学威奇拉医院接受 COVID-19 相关 ARDS 治疗的 HFNC 患者进行了回顾性研究。我们在整个 HFNC 治疗期间每 4 小时计算一次 ROX 指数,并将 HFNC 失败定义为随后的气管内插管。使用接收器工作特征曲线(ROC)下面积(AUC)分析 ROX 指数的性能。我们应用 ROX 指数≤4.88 来预测 HFNC 失败,并使用 Youden 方法获得新的 ROX 截断点。共有 212 例 COVID-19 患者接受 HFNC 治疗,其中 81 例(38.2%)发生 HFNC 失败。ROX 指数≤4.88 预测 HFNC 失败的性能较好(AUC,0.77;95%置信区间[CI],0.72-0.83;p<0.001)。然而,与原始截断点≤4.88 相比,新的 ROX 指数截断点≤5.84 具有最佳性能(AUC,0.84;95%CI,0.79-0.88;p<0.001),具有更好的区分能力(p=0.007)。总之,在 COVID-19 相关 ARDS 患者中,发现 ROX 指数≤5.84 是预测 HFNC 失败的最佳选择。