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Pre-Hospital Management of Patients with COVID-19 and the Impact on Hospitalization

Background and Objectives: During the COVID-19 pandemic, patient care was mainly organized around the hospital. Pre-hospital care has, to our knowledge, never been evaluated. We aimed to study the impact of pre-hospital pathways on hospitalization during the last part of the pandemic. Materials and...

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Detalles Bibliográficos
Autores principales: Grannec, Floann, Meddeb, Line, Tissot-Dupont, Herve, Gentile, Stephanie, Brouqui, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456276/
https://www.ncbi.nlm.nih.gov/pubmed/37629730
http://dx.doi.org/10.3390/medicina59081440
Descripción
Sumario:Background and Objectives: During the COVID-19 pandemic, patient care was mainly organized around the hospital. Pre-hospital care has, to our knowledge, never been evaluated. We aimed to study the impact of pre-hospital pathways on hospitalization during the last part of the pandemic. Materials and Methods: This was a monocentric, retrospective analysis of prospectively collected medical records. Data from patients admitted to our institute between 1 February and 7 March 2022 were analyzed. The primary outcomes were defined as the number of hospitalizations, resuscitations, and deaths at the time of interview and in the subsequent 30 days. The main explanatory variables were times from onset of symptoms to care, age, gender, News2 score, comorbidities, and pre-hospital pathways and their duration. Results: Three pre-hospital pathways were identified: a pathway in which the patient consults a general practitioner for a test (PHP1); a pathway in which the patient consults for care (PHP2); and no pre-hospital pathway and direct admission to hospital (PHP3). Factors independently associated with outcome (hospitalization) were being male (OR 95% CI; 2.21 (1.01–4.84), p = 0,04), News2 score (OR 95% CI; 2.04 (1.65–2.51), p < 0.001), obesity (OR 95% CI; 3.45 (1.48–8.09), p = 0.005), D-dimers > 0.5 µg/mL (OR 95% CI; 3.45 (1.47–8.12), p = 0.005), and prolonged time from symptoms to hospital care (PHP duration) (OR 95% CI; 1.07 (1.01–1.14), p = 0.03). All things being equal, patients with a “PHP2” pre-hospital pathway had a higher probability of hospitalization compared to those with a “PHP3” pre-hospital pathway (OR 95% CI; 4.31 (1.48–12.55), p = 0.007). Conclusions: Along with recognized risk factors such as gender, News 2 score, and obesity, the patient’s pre-hospital pathway is an important risk factor associated with hospitalization.