[Mortality in patients hospitalized with COVID-19 in northern Peru].

Mortalidad en pacientes hospitalizados por COVID-19. Estudio prospectivo en el norte del Perú, 2020.

Journal

Revista medica de Chile
ISSN: 0717-6163
Titre abrégé: Rev Med Chil
Pays: Chile
ID NLM: 0404312

Informations de publication

Date de publication:
Oct 2021
Historique:
received: 11 01 2021
accepted: 07 08 2021
entrez: 23 3 2022
pubmed: 24 3 2022
medline: 26 3 2022
Statut: ppublish

Résumé

Peru has one of the highest mortality rates due to COVID-19 in the world. To describe the clinical features, evolution and explore factors associated with mortality in patients with moderate to severe Covid-19. Prospective analytical study. The clinical, laboratory, imaging, and mortality data of patients admitted at a COVID service of the Santa Rosa de Piura Hospital were recorded from April to June 2020. Data from 391 patients with a median age of 60 years (70% women) was gathered. The time lapse between the onset of the disease and hospitalization was seven days. The most common alteration in the blood count was Neutrophilia in 78% of patients. The median PaO2/FiO2 ratio was 77. The distribution of tomographic patterns was Ground glass in 91% of patients, interstitial involvement in 57%, consolidation in 43%. Sixteen percent of patients had at least one complication, the most common was an increase in transaminases in 2%. Four percent were admitted to the intensive care unit and 53% died (94% during hospitalization and 5.8% during ICU stay). In the bivariate analysis, an association was found between a higher mortality and older age (p = 0.01), having fewer days of illness (p = 0.03), fewer days of hospital stay (p < 0.01), having at least one comorbidity (p = 0.02), lymphopenia (p = 0.02), neutrophilia (P = 0.03) and lower PaO2/ FiO2 ratio (p < 0.01). Fifty percent of these patients died. Age, rapid progression, having comorbidities and other laboratory alterations were associated with mortality.

Sections du résumé

BACKGROUND BACKGROUND
Peru has one of the highest mortality rates due to COVID-19 in the world.
AIM OBJECTIVE
To describe the clinical features, evolution and explore factors associated with mortality in patients with moderate to severe Covid-19.
MATERIAL AND METHODS METHODS
Prospective analytical study. The clinical, laboratory, imaging, and mortality data of patients admitted at a COVID service of the Santa Rosa de Piura Hospital were recorded from April to June 2020.
RESULTS RESULTS
Data from 391 patients with a median age of 60 years (70% women) was gathered. The time lapse between the onset of the disease and hospitalization was seven days. The most common alteration in the blood count was Neutrophilia in 78% of patients. The median PaO2/FiO2 ratio was 77. The distribution of tomographic patterns was Ground glass in 91% of patients, interstitial involvement in 57%, consolidation in 43%. Sixteen percent of patients had at least one complication, the most common was an increase in transaminases in 2%. Four percent were admitted to the intensive care unit and 53% died (94% during hospitalization and 5.8% during ICU stay). In the bivariate analysis, an association was found between a higher mortality and older age (p = 0.01), having fewer days of illness (p = 0.03), fewer days of hospital stay (p < 0.01), having at least one comorbidity (p = 0.02), lymphopenia (p = 0.02), neutrophilia (P = 0.03) and lower PaO2/ FiO2 ratio (p < 0.01).
CONCLUSIONS CONCLUSIONS
Fifty percent of these patients died. Age, rapid progression, having comorbidities and other laboratory alterations were associated with mortality.

Identifiants

pubmed: 35319635
pii: S0034-98872021001001459
doi: 10.4067/s0034-98872021001001459
pii:
doi:

Types de publication

Journal Article

Langues

spa

Sous-ensembles de citation

IM

Pagination

1459-1466

Auteurs

Franco León-Jiménez (F)

Departamento Medicina Interna, Hospital Santa Rosa Piura, Piura, Perú.

Camila Vives-Kufoy (C)

Sanidad del Grupo 7-FAP, Piura, Perú.

Virgilio E Failoc-Rojas (VE)

Universidad San Ignacio de Loyola, Lima, Perú.

Mario J Valladares-Garrido (MJ)

Vicerrectorado de Investigación, Universidad Norbert Wiener, Lima, Perú.

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Classifications MeSH