Division of Internal Medicine, Immunology and Allergology, Center for Systemic Autoimmune Diseases, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.
Department of Pathophysiology and Transplantation, Università Degli Studi di Milano, Milan, Italy.
Intern Emerg Med. 2022 Nov;17(8):2219-2228. doi: 10.1007/s11739-022-03052-3. Epub 2022 Aug 15.
COVID-19 spread in two pandemic waves in Italy between 2020 and 2021. The aim of this study is to compare the first with the second COVID-19 wave, analyzing modifiable and non-modifiable factors and how these factors affected mortality in patients hospitalized in Internal Medicine wards. Consecutive patients with SARS-CoV-2 infection and dyspnea requiring O supplementation were included. The severity of lung involvement was categorized according to the patients' oxygen need. Six hundred and ten SARS-CoV-2 hospitalized patients satisfied the inclusion criteria. The overall estimated 4-week mortality was similar in the two pandemic waves. Several variables were associated with mortality after univariate analysis, but they lacked the significance after multivariable adjustment. Steroids did not exert any protective effect when analyzed in time-dependent models in the whole sample; however, steroids seemed to exert a protective effect in more severe patients. When analyzing the progression to different states of O supplementation during hospital stay, mortality was almost exclusively associated with the use of high-flow O or CPAP. The analysis of the transition from one state to the other by Cox-Markov models confirmed that age and the severity of lung involvement at admission, along with fever, were relevant factor for mortality or progression.
2020 年至 2021 年,意大利的 COVID-19 在两波大流行中传播。本研究的目的是比较 COVID-19 的第一波和第二波,分析可改变和不可改变的因素,以及这些因素如何影响在综合内科病房住院的患者的死亡率。纳入了因 SARS-CoV-2 感染和呼吸困难需要补充氧气的连续患者。根据患者的氧气需求,将肺受累的严重程度进行分类。610 名 SARS-CoV-2 住院患者符合纳入标准。在两波大流行中,总体估计的 4 周死亡率相似。在单变量分析中,有几个变量与死亡率相关,但在多变量调整后缺乏意义。在整个样本中,在时间依赖性模型中分析时,类固醇没有发挥任何保护作用;然而,类固醇在更严重的患者中似乎发挥了保护作用。在分析住院期间不同供氧状态的进展时,死亡率几乎完全与使用高流量氧或 CPAP 相关。Cox-Markov 模型分析从一种状态到另一种状态的转变证实,年龄和入院时的肺部受累严重程度,以及发热,是死亡率或进展的相关因素。