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[Factors associated with an unfavorable evolution in patients diagnosed with COVID-19 and followed up in primary care in 2020]. / Factores asociados con una evolución desfavorable en pacientes diagnosticados de COVID-19 y seguidos en atención primaria en 2020.
Fernández Pérez, María José; Bernad Carbonell, Fernando; Nieves Sanchis, Miguel Ángel; Calleja Argudo, Sergio; Martínez González, Ana; García de Enterría Ramos, Inés; Ayuso Raya, Mª Candelaria; Escobar Rabadán, Francisco.
  • Fernández Pérez MJ; Medicina de Familia y Comunitaria, Centro de Salud de Casas Ibáñez, Albacete, España.
  • Bernad Carbonell F; Medicina de Familia y Comunitaria, Centro de Salud Zona IV de Albacete, Albacete, España.
  • Nieves Sanchis MÁ; Medicina de Familia y Comunitaria, Centro de Salud Zona IV de Albacete, Albacete, España.
  • Calleja Argudo S; Medicina de Familia y Comunitaria, Centro de Salud Zona IV de Albacete, Albacete, España.
  • Martínez González A; Medicina de Familia y Comunitaria, Centro de Salud Zona IV de Albacete, Albacete, España.
  • García de Enterría Ramos I; Medicina de Familia y Comunitaria, Servicio de Urgencias del Hospital General de Albacete, Albacete, España.
  • Ayuso Raya MC; Medicina de Familia y Comunitaria, Servicio de Urgencias del Hospital General de Albacete, Albacete, España.
  • Escobar Rabadán F; Medicina de Familia y Comunitaria, Centro de Salud Zona IV de Albacete, Albacete, España. Electronic address: fjescobarr@sescam.jccm.es.
Aten Primaria ; 54(9): 102372, 2022 09.
Article in Spanish | MEDLINE | ID: covidwho-1914162
ABSTRACT

AIM:

To know the factors associated with an unfavorable evolution (UE) of patients diagnosed with COVID-19 with total or partial follow-up in primary care.

DESIGN:

A case series.

SETTING:

Urban health center.

PARTICIPANTS:

By systematic sampling, patients ≥18 years, diagnosed with COVID-19, with analytical confirmation, in 2020 and followed up by their family doctors, were selected. MAIN MEASUREMENTS Dependent variable hospital admission or death due to COVID-19. INDEPENDENT VARIABLES age, sex, medical background, clinical data and treatments related to the disease. Statistical analysis, with SPSS 25.0 descriptive analysis, comparison of proportions (chi square) and medians (Mann-Whitney U). The analysis is completed with logistic regression.

RESULTS:

610 patients were included in the study. The median age was 49 years (interquartile range 35-61); 51.8% were women; 14.9% presented UE (95% CI 12.0-17.8). The sociodemographic variables or the variables related to medical background that showed an independent association with UE were age (OR 1.066; 95% CI 1.038-1.095), sex (OR for men 3.277; 95% CI 1.304-8.235) and being a smoker or former smoker (OR 2.565; 95% CI 1.135-5.800). Regarding the clinical variables of the disease, an association was found for altered consciousness (OR 62.829; 95% CI 9.177-430.149), dyspnea (OR 14.339; 95% CI 6.046-34.009), expectoration (OR 4.764; 95% CI 1.858-12.213)) and asthenia (OR 3.993; 95% CI 1.705-9.351).

CONCLUSIONS:

14.9% of the patients diagnosed with COVID-19 presented an UE. Older age, male sex and being a smoker or former smoker increased the probability of it. Altered consciousness, dyspnea, expectoration, and asthenia were the clinical data that best predicted UE.
Subject(s)
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Observational study / Prognostic study / Systematic review/Meta Analysis Limits: Female / Humans / Male / Middle aged Language: Spanish Journal: Aten Primaria Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Observational study / Prognostic study / Systematic review/Meta Analysis Limits: Female / Humans / Male / Middle aged Language: Spanish Journal: Aten Primaria Year: 2022 Document Type: Article