| dc.contributor.author | Garcia-Carretero, Rafael | |
| dc.contributor.author | Vazquez-Gomez, Oscar | |
| dc.contributor.author | Ordoñez-Garcia, Maria | |
| dc.contributor.author | Garrido-Peño, Noelia | |
| dc.contributor.author | Gil-Prieto, Ruth | |
| dc.contributor.author | Gil-de-Miguel, Angel | |
| dc.date.accessioned | 2024-01-26T08:54:17Z | |
| dc.date.available | 2024-01-26T08:54:17Z | |
| dc.date.issued | 2023-07-24 | |
| dc.identifier.citation | Garcia-Carretero, R.; Vazquez-Gomez, O.; Ordoñez-Garcia, M.; Garrido-Peño, N.; Gil-Prieto, R.; Gil-de-Miguel, A. Differences in Trends in Admissions and Outcomes among Patients from a Secondary Hospital in Madrid during the COVID-19 Pandemic: A HospitalBased Epidemiological Analysis (2020–2022). Viruses 2023, 15, 1616. https://doi.org/10.3390/v15071616 | es |
| dc.identifier.uri | https://hdl.handle.net/10115/28953 | |
| dc.description | 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. | es |
| dc.language.iso | eng | es |
| dc.publisher | MDPI | es |
| dc.rights | Atribución-CompartirIgual 4.0 Internacional | * |
| dc.rights | Attribution 4.0 International | |
| dc.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/ | * |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | COVID-19 | es |
| dc.subject | SARS-CoV-2 | es |
| dc.subject | time series visualization | es |
| dc.title | Differences in Trends in Admissions and Outcomes among Patients from a Secondary Hospital in Madrid during the COVID-19 Pandemic: A Hospital-Based Epidemiological Analysis (2020–2022) | es |
| dc.type | info:eu-repo/semantics/article | es |
| dc.identifier.doi | 10.3390/v15071616 | es |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
Except where otherwise noted, this item's license is described as Atribución-CompartirIgual 4.0 Internacional