第 3 天的呼吸频率-氧合指数是预测 COVID-19 患者治疗失败的最佳指标。

IF 1.1 Q4 RESPIRATORY SYSTEM
Federico Raimondi, Stefano Centanni, Fabrizio Luppi, Stefano Aliberti, Francesco Blasi, Paola Rogliani, Claudio Micheletto, Marco Contoli, Alessandro Sanduzzi Zamparelli, Marialuisa Bocchino, Paolo Busatto, Luca Novelli, Simone Pappacena, Luca Malandrino, Giorgio Lorini, Greta Cairoli, Fabiano Di Marco
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引用次数: 0

摘要

预测结果对于识别严重的 COVID-19 病例以及优化治疗和护理环境至关重要。呼吸频率-氧合(ROX)指数最初用于预测急性低氧血症呼吸衰竭(AHRF)无创支持的失败,但尚未对住院期间的长期情况进行广泛研究。这项多中心前瞻性观察研究分析了第二次大流行期间在意大利八家医院住院的与 COVID-19 相关的 AHRF 患者。研究使用接收器操作者特征曲线和曲线下面积以及 95% 置信区间评估了 ROX 指数,以预测治疗失败,即气管插管 (ETI) 或死亡。共有 227 名患者(69.2% 为男性)入院,入院时动脉血氧分压(PaO2)/吸入氧分压(FiO2)比值中位数为 248(四分位间范围:170-295)。近三分之一(29.5%)的患者需要进行 ETI 或在住院期间死亡。治疗失败的患者年龄较大(中位年龄 70 岁对 61 岁,p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Respiratory rate-oxygenation index on the 3rd day is the best predictor of treatment failure in COVID-19 patients.

Predictors of outcomes are essential to identifying severe COVID-19 cases and optimizing treatment and care settings. The respiratory rate-oxygenation (ROX) index, originally introduced for predicting the failure of non-invasive support in acute hypoxemic respiratory failure (AHRF), has not been extensively studied over time during hospitalization. This multicenter prospective observational study analyzed COVID-19-related AHRF patients admitted to eight Italian hospitals during the second pandemic wave. The study assessed the ROX index using receiver operator characteristic curves and areas under the curve with 95% confidence intervals to predict treatment failure, defined as endotracheal intubation (ETI) or death. A total of 227 patients (69.2% males) were enrolled, with a median arterial partial pressure of oxygen (PaO2)/fraction of inspired oxygen (FiO2) ratio at admission of 248 (interquartile range: 170-295). Nearly one-third (29.5%) required ETI or died during hospitalization. Those who experienced treatment failure were older (median age 70 versus 61 years, p<0.001), more likely to be current or former smokers (8.5% versus 6.4% and 42.4% versus 25.5%, p=0.039), had a higher prevalence of cardiovascular diseases (74.6% versus 46.3%, p<0.001), and had a lower PaO2/FiO2 ratio at presentation (median 229 versus 254, p=0.014). Gender, body mass index, and other comorbidities showed no significant differences. In patients who failed treatment, the ROX index was higher at presentation and worsened sharply by days 3 and 4. Conversely, in patients who survived without requiring ETI, the ROX index remained stable and reduced after 5-6 days. The ROX index's predictive ability improved notably by the third day of hospitalization, with the best cut-off value identified at 8.53 (sensitivity 75%, specificity 68%). Kaplan-Meier curves indicated that a ROX index of 8.53 or lower on days 1, 2, or 3 was associated with a higher risk of treatment failure. Thus, a single ROX index assessment on day 3 is more informative than its variability over time, with values of 8.53 or lower predicting non-invasive respiratory support failure in hospitalized COVID-19 patients.

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来源期刊
CiteScore
3.60
自引率
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