Zinna Giuseppe, Pipitò Luca, Colomba Claudia, Scichilone Nicola, Licata Anna, Barbagallo Mario, Russo Antonio, Coppola Nicola, Cascio Antonio
Department of Surgery, Dentistry, Paediatrics, and Gynaecology, Division of Cardiac Surgery, University of Verona Medical School, 37129 Verona, Italy.
Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, 90127 Palermo, Italy.
J Clin Med. 2024 Oct 2;13(19):5884. doi: 10.3390/jcm13195884.
Identifying high-risk COVID-19 patients is critical for emergency department decision-making. Our study's primary objective was to identify new independent predictors of mortality and their predictive utility in combination with traditional pneumonia risk assessment scores and new risk scores for COVID-19 developed during the pandemic. : A retrospective study was performed in two Italian University Hospitals. A multivariable logistic model was used to locate independent parameters associated with mortality. Age, PaO/FiO, and SpO/FiO ratios were found to be independent parameters associated with mortality. This study found that the Pneumonia Severity Index (PSI) was superior to many of the risk scores developed during the pandemic, for example, the International Severe Acute Respiratory Infection Consortium Coronavirus Clinical Characterisation Consortium (ISARIC 4C) (AUC 0.845 vs. 0.687, < 0.001), and to many of the risk scores already in use, for example, the National Early Warning Score 2 (NEWS2) (AUC 0.845 vs. 0.589, < 0.001). Furthermore, our study found that the Pneumonia Severity Index had a similar performance to other risk scores, such as CRB-65 (AUC 0.845 vs. 0.823, = 0.294). Combining the PaO/FiO or SpO/FiO ratios with the risk scores analyzed improved the prognostic accuracy. Adding the SpO/FiO ratio to the traditional, validated, and already internationally known pre-pandemic prognostic scores seems to be a valid and rapid alternative to the need for developing new prognostic scores. Future research should focus on integrating these markers into existing pneumonia scores to improve their prognostic accuracy.
识别新冠病毒肺炎高风险患者对于急诊科的决策至关重要。本研究的主要目的是确定新的独立死亡预测因素,以及它们与传统肺炎风险评估分数和疫情期间制定的新冠病毒肺炎新风险分数相结合时的预测效用。在两家意大利大学医院进行了一项回顾性研究。使用多变量逻辑模型来确定与死亡率相关的独立参数。研究发现年龄、氧合指数(PaO₂/FiO₂)和血氧饱和度指数(SpO₂/FiO₂)是与死亡率相关的独立参数。本研究发现,肺炎严重程度指数(PSI)优于疫情期间制定的许多风险分数,例如国际严重急性呼吸道感染协会冠状病毒临床特征协会(ISARIC 4C)(曲线下面积[AUC]为0.845对0.687,P<0.001),也优于许多已在使用的风险分数,例如国家早期预警评分2(NEWS2)(AUC为0.845对0.589,P<0.001)。此外,我们的研究发现,肺炎严重程度指数与其他风险分数,如CRB-65(AUC为0.845对0.823,P = 0.294)具有相似的表现。将氧合指数(PaO₂/FiO₂)或血氧饱和度指数(SpO₂/FiO₂)与所分析的风险分数相结合可提高预后准确性。将血氧饱和度指数(SpO₂/FiO₂)添加到传统的、经过验证且国际上已知的疫情前预后分数中,似乎是一种有效且快速的替代方法,可避免开发新的预后分数的需求。未来的研究应侧重于将这些标志物整合到现有的肺炎分数中,以提高其预后准确性。