Department of Internal Medicine, Mostoles University Hospital, 28935 Móstoles, Madrid, Spain.
Department of Hematology, Mostoles University Hospital, 28935 Móstoles, Madrid, Spain.
Viruses. 2023 Jul 24;15(7):1616. doi: 10.3390/v15071616.
Spain had some of Europe's highest incidence and mortality rates for coronavirus disease 2019 (COVID-19). This study highlights the impact of the COVID-19 pandemic on daily health care in terms of incidence, critical patients, and mortality. We describe the characteristics and clinical outcomes of patients, comparing variables over the different waves. We performed a descriptive, retrospective study using the historical records of patients hospitalized with COVID-19. We describe demographic characteristics, admissions, and occupancy. Time series allowed us to visualize and analyze trends and patterns, and identify several waves during the 27-month period. A total of 3315 patients had been hospitalized with confirmed COVID-19. One-third of these patients were hospitalized during the first weeks of the pandemic. We observed that 4.6% of all hospitalizations had been admitted to the intensive care unit, and we identified a mortality rate of 9.4% among hospitalized patients. Arithmetic- and semi-logarithmic-scale charts showed how admissions and deaths rose sharply during the first weeks, increasing by 10 every few days. We described a single hospital's response and experiences during the pandemic. This research highlights certain demographic profiles in a population and emphasizes the importance of identifying waves when performing research on COVID-19. Our results can extend the analysis of the impact of COVID-19 and can be applied in other contexts, and can be considered when further analyzing the clinical, epidemiological, or demographic characteristics of populations with COVID-19. Our findings suggest that the pandemic should be analyzed not as a whole but rather in different waves.
西班牙的 2019 冠状病毒病(COVID-19)发病率和死亡率在欧洲处于较高水平。本研究从发病率、危重症患者和死亡率等方面重点阐述了 COVID-19 大流行对日常医疗保健的影响。我们描述了患者的特征和临床结局,并比较了不同波次之间的变量。我们使用 COVID-19 住院患者的历史记录进行了描述性、回顾性研究。我们描述了人口统计学特征、入院和入住率。时间序列使我们能够可视化和分析趋势和模式,并在 27 个月的时间内确定了几个波次。共有 3315 名确诊 COVID-19 住院的患者。其中三分之一的患者在大流行的最初几周住院。我们观察到,所有住院患者中有 4.6% 入住了重症监护病房,住院患者的死亡率为 9.4%。算术和半对数图表显示了在最初几周,住院和死亡人数如何急剧上升,每隔几天就增加 10 人。我们描述了一家医院在大流行期间的应对和经验。本研究突出了特定人群的某些人口统计学特征,并强调了在研究 COVID-19 时识别波次的重要性。我们的结果可以扩展对 COVID-19 影响的分析,并可应用于其他情况,在进一步分析 COVID-19 人群的临床、流行病学或人口统计学特征时可以考虑这些结果。我们的研究结果表明,不应将大流行作为一个整体进行分析,而应分不同的波次进行分析。