Department of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru 570015, India.
Public Health Research Institute of India, Mysuru 570020, India.
Viruses. 2023 Nov 8;15(11):2231. doi: 10.3390/v15112231.
The use of the Ratio of Oxygen Saturation (ROX) index to predict the success of high-flow nasal oxygenation (HFNO) is well established. The ROX can also predict the need for intubation, mortality, and is easier to calculate compared with APACHE II. In this prospective study, the primary aim is to compare the ROX (easily administered in resource limited setting) to APACHE II for clinically relevant outcomes such as mortality and the need for intubation. Our secondary aim was to identify thresholds for the ROX index in predicting outcomes such as the length of ICU stay and failure of non-invasive respiratory support therapies and to assess the effectiveness of using the ROX (day 1 at admission, day 2, and day 3) versus Acute physiology and chronic health evaluation (APACHE) II scores (at admission) in patients with Coronavirus Disease 2019 (COVID-19) pneumonia and Acute Respiratory Distress Syndrome (ARDS) to predict early, late, and non-responders. After screening 208 intensive care unit patients, a total of 118 COVID-19 patients were enrolled, who were categorized into early (n = 38), late (n = 34), and non-responders (n = 46). Multinomial logistic regression, receiver operating characteristic (ROC), Multivariate Cox regression, and Kaplan-Meier analysis were conducted. Multinomial logistic regressions between late and early responders and between non- and early responders were associated with reduced risk of treatment failures. ROC analysis for early vs. late responders showed that APACHE II on admission had the largest area under the curve (0.847), followed by the ROX index on admission (0.843). For responders vs. non-responders, we found that the ROX index on admission had a slightly better AUC than APACHE II on admission (0.759 vs. 0.751). A higher ROX index on admission [HR (95% CI): 0.29 (0.13-0.52)] and on day 2 [HR (95% CI): 0.55 (0.34-0.89)] were associated with a reduced risk of treatment failure. The ROX index can be used as an independent predictor of early response and mortality outcomes to HFNO and NIV in COVID-19 pneumonia, especially in low-resource settings, and is non-inferior to APACHE II.
氧饱和度比值(ROX)指数预测高流量鼻氧疗(HFNO)成功的应用已经得到充分证实。ROX 指数还可以预测插管需求、死亡率,并且与急性生理和慢性健康评估 II 评分(APACHE II)相比,计算更加简便。在这项前瞻性研究中,主要目的是比较 ROX 指数(在资源有限的环境中易于实施)与 APACHE II 评分在临床相关结局方面的差异,如死亡率和插管需求。我们的次要目标是确定 ROX 指数预测 ICU 住院时间和无创呼吸支持治疗失败的截断值,并评估在 2019 年冠状病毒病(COVID-19)肺炎和急性呼吸窘迫综合征(ARDS)患者中使用 ROX 指数(入院第 1 天、第 2 天和第 3 天)与急性生理学和慢性健康评估(APACHE)II 评分(入院时)预测早期、晚期和无反应者的有效性。在筛选了 208 名重症监护病房患者后,共纳入了 118 名 COVID-19 患者,将他们分为早期(n = 38)、晚期(n = 34)和无反应者(n = 46)。进行了多项逻辑回归、受试者工作特征(ROC)曲线、多变量 Cox 回归和 Kaplan-Meier 分析。晚期和早期反应者之间以及非反应者和早期反应者之间的多项逻辑回归与治疗失败风险降低相关。ROC 分析显示,入院时的 APACHE II 评分具有最大的曲线下面积(0.847),其次是入院时的 ROX 指数(0.843)。对于反应者和无反应者,我们发现入院时的 ROX 指数 AUC 略优于入院时的 APACHE II(0.759 比 0.751)。入院时较高的 ROX 指数 [风险比(95%CI):0.29(0.13-0.52)]和第 2 天较高的 ROX 指数 [风险比(95%CI):0.55(0.34-0.89)]与治疗失败风险降低相关。ROX 指数可作为 HFNO 和 NIV 治疗 COVID-19 肺炎早期反应和死亡率结局的独立预测因子,特别是在资源有限的环境中,其作用不劣于 APACHE II。