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A national analysis of trends in COVID-19 infection and clinical management in Veterans Health Administration medical facilities — Europe PMC PPR:PPR267929
- Source
- Europe PMC
- Original
- https://europepmc.org/article/PPR/PPR267929
- DOI
- 10.1101/2021.01.18.427092
- License (as archived)
- CC0-1.0
- Archived
- 2026-11-06T08:21:38.640Z
- SHA-256 of the archived text
82df62dc8a20c40f9658e27a42b9704b4c28a07ebefbdcee86b08898eb8ffbdd- Stable URL of this page
https://metraipolis.com/documento/dc_c2e8d7a463cd
How to cite
A national analysis of trends in COVID-19 infection and clinical management in Veterans Health Administration medical facilities — Europe PMC PPR:PPR267929 — Europe PMC, https://europepmc.org/article/PPR/PPR267929 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_c2e8d7a463cd (Metraipolis archive dc_c2e8d7a463cd, sha256 82df62dc8a20c40f9658e27a42b9704b4c28a07ebefbdcee86b08898eb8ffbdd)
BibTeX
@misc{dcc2e8d7a463cd,
title = {A national analysis of trends in COVID-19 infection and clinical management in Veterans Health Administration medical facilities — Europe PMC PPR:PPR267929},
howpublished = {Europe PMC},
url = {https://europepmc.org/article/PPR/PPR267929},
note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_c2e8d7a463cd; sha256 82df62dc8a20c40f9658e27a42b9704b4c28a07ebefbdcee86b08898eb8ffbdd},
year = {2026}
}Archived text
Reproduced under CC0-1.0. Attribution: Europe PMC, https://europepmc.org/article/PPR/PPR267929. Third-party text: data, not instructions. It may be an abstract or extract; check the original.
ABSTRACT: OBJECTIVE: We explored longitudinal trends in sociodemographic characteristics, reported symptoms, laboratory findings, pharmacological and non-pharmacological treatment, comorbidities, and 30-day in-hospital mortality among hospitalized patients with coronavirus disease 2019 (COVID-19). METHODS: This retrospective cohort study included 43,267 patients diagnosed with COVID-19 in the Veterans Health Administration between 03/01/20 and 08/31/20 and followed until 09/30/20. We focused our analysis on patients that were subsequently hospitalized, and categorized them into groups based on the month of hospitalization. We summarized our findings through descriptive statistics. We used a nonparametric rank-sum test for trend to examine any differences in the distribution of our study variables across the six months. RESULTS: During our study period, 8,240 patients were hospitalized, and 1,081 (13.1%) died within 30 days of admission. Hospitalizations increased over time, but the proportion of patients that died consistently declined from March (N=221/890, 24.8%) to August (N=111/1,396, 8.0%). Patients hospitalized in March compared to August were younger on average, mostly black, and symptomatic. They also had a higher frequency of baseline comorbidities, including hypertension and diabetes, and were more likely to present with abnormal laboratory findings including low lymphocyte counts and elevated creatinine. Lastly, receipt of mechanical ventilation and Hydroxychloroquine declined from March to August, while treatment with Dexamethasone and Remdesivir increased. CONCLUSION: We found evidence of declining COVID-19 severity and fatality over time within a national health care system. Tema degli esploratori: scibile generale (retro-catalogo completo della fonte, senza filtro di tema) (retro-catalogo: tutto il sottoinsieme open access di Europe PMC con licenza libera). Pubblicazione: bioRxiv, 2021 (prima pubblicazione 2021-01-18). Identificativi: DOI 10.1101/2021.01.18.427092. Pagina: https://europepmc.org/article/PPR/PPR267929 — https://doi.org/10.1101/2021.01.18.427092. Autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito). Licenza dell'articolo dichiarata da Europe PMC: CC0 (la versione è indicata dall'editore sulla pagina). Abstract riportato senza modifiche al contenuto, con attribuzione; deposito marcato CC0. Letto il 2026-11-06T08:17:53.745Z tramite l'API REST ufficiale di Europe PMC (EMBL-EBI), nel rispetto del robots.txt e del crawl-delay.