Service de Santé Publique, Hôpitaux universitaires de Strasbourg, 1 place de l'hôpital, BP426, 67091 Strasbourg Cedex, France.
Service de Santé Publique, Hôpitaux universitaires de Strasbourg, 1 place de l'hôpital, BP426, 67091 Strasbourg Cedex, France.
Rev Epidemiol Sante Publique. 2022 Nov;70(6):265-276. doi: 10.1016/j.respe.2022.08.008. Epub 2022 Sep 13.
Even though France was severely hit by the COVID-19 pandemic, few studies have addressed the dynamics of the first wave on an exhaustive, nationwide basis. We aimed to describe the geographic and temporal distribution of COVID-19 hospitalisations and in-hospital mortality in France during the first epidemic wave, from January to June 2020.
This retrospective cohort study used the French national database for all acute care hospital admissions (PMSI). Contiguous stays were assembled into "care sequences" for analysis so as to limit bias when estimating incidence and mortality. The incidence rate and its evolution, mortality and hospitalized case fatality rates (HCFR) were compared between geographic areas. Correlations between incidence, mortality, and HCFR were analyzed.
During the first epidemic wave, 98,366 COVID-19 patients were hospitalized (incidence rate of 146.7/100,000 inhabitants), of whom 18.8% died. The median age was 71 years, the male/female ratio was 1.16, and 26.2% of patients required critical care. The Paris area and the North-East region were the first and most severely hit areas. A rapid increase of incidence and mortality within 4 weeks was followed by a slow decrease over 10 weeks. HCFRs decreased during the study period, and correlated positively with incidence and mortality rates.
By detailing the geographical and temporal evolution of the COVID-19 epidemic in France, this study revealed major interregional differences, which were otherwise undetectable in global analyses. The precision afforded should help to understand the dynamics of future epidemic waves.
尽管法国受到 COVID-19 大流行的严重打击,但很少有研究全面地描述了第一波疫情的动态。我们旨在描述 2020 年 1 月至 6 月法国第一波 COVID-19 住院患者的地理和时间分布以及院内死亡率。
本回顾性队列研究使用了法国所有急性护理医院入院(PMSI)的国家数据库。将连续入住的患者组合成“护理序列”进行分析,以限制在估计发病率和死亡率时的偏差。比较了不同地理区域之间的发病率、死亡率和住院病死率(HCFR)。分析了发病率、死亡率和 HCFR 之间的相关性。
在第一波疫情中,有 98366 例 COVID-19 患者住院(发病率为 146.7/100000 居民),其中 18.8%死亡。中位年龄为 71 岁,男女比例为 1.16,26.2%的患者需要重症监护。巴黎地区和东北地区是首批也是受灾最严重的地区。发病率和死亡率在 4 周内迅速上升,随后在 10 周内缓慢下降。HCFR 在研究期间下降,并与发病率和死亡率呈正相关。
通过详细描述法国 COVID-19 疫情的地理和时间演变,本研究揭示了主要的区域间差异,这在全球分析中是无法察觉的。这种精度应该有助于理解未来疫情波的动态。