西班牙加泰罗尼亚连续COVID-19疫情期间住院受试者死亡率和临床结果的变化

Albert Roso-Llorach , Xavier Serra-Picamal , Francesc X. Cos , Meritxell Pallejà-Millán , Lourdes Mateu , Antoni Rosell , Benito Almirante , Jaume Ferrer , Mercè Gasa , Carlota Gudiol , Anna Maria Moreno , Jose Luís Morales-Rull , Maria Rexach , Gladis Sabater , Teresa Auguet , Francesc Vidal , Ana Lerida , Josep Rebull , Kamlesh Khunti , Josep M. Argimon , Roger Paredes
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引用次数: 25

摘要

在连续几波疫情中,防护策略、治疗方法、出现变体和医疗保健途径的变化可能会改变COVID-19住院患者的情况和结果。方法回顾性分析2020年2月28日至2021年2月28日在加泰罗尼亚(西班牙东北部)8所大学医院收治的所有COVID-19患者的特征和住院结局。使用7点回归分析,我们将录取分为四波。主要住院结局包括30天死亡率和入住重症监护病房(ICU)。分析结果包括在第一波入院的17,027名受试者(6800名;39.9%),夏季波浪(1807;10.6%),第二波(3804;22.3%),第三波(4616;27.1%)。据报告,在第一波期间,30天死亡率最高(17%),随后下降,在第二波和第三波中稳定保持在13%(总体下降30%);据报告,夏季发病期间死亡率最低(8%,减少50%)。在连续的波浪中,ICU住院的频率逐渐增加。在Cox回归分析中,导致30天死亡率差异的主要因素是流行波,其次是性别、年龄、糖尿病、慢性肾脏疾病和肿瘤。虽然院内COVID-19死亡率仍然很高,但在第一波之后大幅下降,并且高度依赖于患者的特征和ICU的可用性。在以年轻人为特征的一波死亡率下降幅度最大,随着疫苗接种运动的进展,这种情况越来越常见。这项工作没有得到专门的资助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Evolving mortality and clinical outcomes of hospitalized subjects during successive COVID-19 waves in Catalonia, Spain

Background

The changes in shield strategies, treatments, emergence variants, and healthcare pathways might shift the profile and outcome of patients hospitalized with COVID-19 in successive waves of the outbreak.

Methods

We retrospectively analysed the characteristics and in-hospital outcomes of all patients admitted with COVID-19 in eight university hospitals of Catalonia (North-East Spain) between Feb 28, 2020 and Feb 28, 2021. Using a 7-joinpoint regression analysis, we split admissions into four waves. The main hospital outcomes included 30-day mortality and admission to intensive care unit (ICU).

Findings

The analysis included 17,027 subjects admitted during the first wave (6800; 39.9%), summer wave (1807; 10.6%), second wave (3804; 22.3%), and third wave (4616; 27.1%). The highest 30-day mortality rate was reported during the first wave (17%) and decreased afterwards, remaining stable at 13% in the second and third waves (overall 30% reduction); the lowest mortality was reported during the summer wave (8%, 50% reduction). ICU admission became progressively more frequent during successive waves. In Cox regression analysis, the main factors contributing to differences in 30-day mortality were the epidemic wave, followed by gender, age, diabetes, chronic kidney disease, and neoplasms.

Interpretation

Although in-hospital COVID-19 mortality remains high, it decreased substantially after the first wave and is highly dependent of patient's characteristics and ICU availability. Highest mortality reductions occurred during a wave characterized by younger individuals, an increasingly frequent scenario as vaccination campaigns progress.

Funding

This work did not receive specific funding.

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来源期刊
Global Epidemiology
Global Epidemiology Medicine-Infectious Diseases
CiteScore
5.00
自引率
0.00%
发文量
22
审稿时长
39 days
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