Cargando…
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)
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 p...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384448/ https://www.ncbi.nlm.nih.gov/pubmed/37515302 http://dx.doi.org/10.3390/v15071616 |
_version_ | 1785081159910162432 |
---|---|
author | Garcia-Carretero, Rafael Vazquez-Gomez, Oscar Ordoñez-Garcia, María Garrido-Peño, Noelia Gil-Prieto, Ruth Gil-de-Miguel, Angel |
author_facet | Garcia-Carretero, Rafael Vazquez-Gomez, Oscar Ordoñez-Garcia, María Garrido-Peño, Noelia Gil-Prieto, Ruth Gil-de-Miguel, Angel |
author_sort | Garcia-Carretero, Rafael |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-10384448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103844482023-07-30 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) Garcia-Carretero, Rafael Vazquez-Gomez, Oscar Ordoñez-Garcia, María Garrido-Peño, Noelia Gil-Prieto, Ruth Gil-de-Miguel, Angel Viruses Article 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. MDPI 2023-07-24 /pmc/articles/PMC10384448/ /pubmed/37515302 http://dx.doi.org/10.3390/v15071616 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Garcia-Carretero, Rafael Vazquez-Gomez, Oscar Ordoñez-Garcia, María Garrido-Peño, Noelia Gil-Prieto, Ruth Gil-de-Miguel, Angel 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) |
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) |
title_full | 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) |
title_fullStr | 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) |
title_full_unstemmed | 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) |
title_short | 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) |
title_sort | 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) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384448/ https://www.ncbi.nlm.nih.gov/pubmed/37515302 http://dx.doi.org/10.3390/v15071616 |
work_keys_str_mv | AT garciacarreterorafael differencesintrendsinadmissionsandoutcomesamongpatientsfromasecondaryhospitalinmadridduringthecovid19pandemicahospitalbasedepidemiologicalanalysis20202022 AT vazquezgomezoscar differencesintrendsinadmissionsandoutcomesamongpatientsfromasecondaryhospitalinmadridduringthecovid19pandemicahospitalbasedepidemiologicalanalysis20202022 AT ordonezgarciamaria differencesintrendsinadmissionsandoutcomesamongpatientsfromasecondaryhospitalinmadridduringthecovid19pandemicahospitalbasedepidemiologicalanalysis20202022 AT garridopenonoelia differencesintrendsinadmissionsandoutcomesamongpatientsfromasecondaryhospitalinmadridduringthecovid19pandemicahospitalbasedepidemiologicalanalysis20202022 AT gilprietoruth differencesintrendsinadmissionsandoutcomesamongpatientsfromasecondaryhospitalinmadridduringthecovid19pandemicahospitalbasedepidemiologicalanalysis20202022 AT gildemiguelangel differencesintrendsinadmissionsandoutcomesamongpatientsfromasecondaryhospitalinmadridduringthecovid19pandemicahospitalbasedepidemiologicalanalysis20202022 |