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1.
Semergen ; 47(3): 170-173, 2021 Apr.
Artigo em Espanhol | MEDLINE | ID: mdl-33386234

RESUMO

OBJECTIVE: Know the number and percentage of chest X-rays (CXR) referred to a Primary Care Imaging Center and Primary Care Emergency Center to rule out lung involvement due to SARS-CoV-2 from March 16 to May 15, 2020, in an urban health area of about 400,000 reference population inhabitants. To determine the percentage of cases suggestive of pulmonary involvement due to SARS-CoV-2 CXR and the percentage of cases without pulmonary involvement of the total CXR derived in the reference population from March 16 to May 15, 2020. MATERIAL AND METHODS: Design observational descriptive study. The radiological criteria to classify probable pulmonary infection by SARS-CoV-2 (RxT[+]) are: 1) focal opacity; 2) faint focal opacity; 3) faint diffuse increase in density; 4) focal or diffuse interstitial pattern, and 5) focal or diffuse interstitial alveolus pattern. RESULTS AND CONCLUSIONS: Maintain CXR as a useful screening method in the middle stages of the disease, when CXR is more sensitive to detect lung involvement due to SARS-CoV-2. Our graph of affectation by SARS-CoV-2 does not present assessable differences with the expected curve in an epidemic.


Assuntos
COVID-19/diagnóstico por imagem , COVID-19/epidemiologia , Pulmão/diagnóstico por imagem , Atenção Primária à Saúde , Saúde da População Urbana/estatística & dados numéricos , Humanos , Estudos Longitudinais , Prevalência , Radiografia Torácica , Espanha/epidemiologia
2.
Artigo em Espanhol | IBECS | ID: ibc-196559

RESUMO

OBJETIVO: Conocer el número y el porcentaje de radiografías de tórax (RxT) derivadas a un centro de diagnóstico por imagen de Atención Primaria y al Centro de Urgencias de Atención Primaria para descartar afectación pulmonar por SARS-CoV-2 desde el 16 de marzo al 15 de mayo de 2020, en un área de salud urbana de unos 400.000 habitantes de población de referencia. Determinar el porcentaje de casos indicativos de afectación pulmonar por RxT por SARS-CoV-2 y el porcentaje de casos sin afectación pulmonar del total de RxT derivadas en la población de referencia desde el 16 de marzo al 15 de mayo de 2020. MATERIAL Y MÉTODOS: Diseño: estudio descriptivo observacional. Los criterios radiológicos para catalogar de probable infección pulmonar por SARS-CoV-2 (RxT[+]) son: 1) opacidad focal; 2) tenue opacidad focal; 3) tenue aumento de densidad difuso; 4) patrón intersticial focal o difuso, y 5) patrón alveolointersticial focal o difuso. RESULTADOS Y CONCLUSIONES: Mantener la RxT como método útil de cribado en las etapas medias de la enfermedad, cuando la RxT es más sensible para detectar afectación pulmonar por SARS-CoV-2. Nuestra gráfica de afectación por SARS-CoV-2 no presenta diferencias valorables con la curva esperada en una epidemia


OBJECTIVE: Know the number and percentage of chest X-rays (CXR) referred to a Primary Care Imaging Center and Primary Care Emergency Center to rule out lung involvement due to SARS-CoV-2 from March 16 to May 15, 2020, in an urban health area of about 400,000 reference population inhabitants. To determine the percentage of cases suggestive of pulmonary involvement due to SARS-CoV-2 CXR and the percentage of cases without pulmonary involvement of the total CXR derived in the reference population from March 16 to May 15, 2020. MATERIAL AND METHODS: Design observational descriptive study. The radiological criteria to classify probable pulmonary infection by SARS-CoV-2 (RxT[+]) are: 1) focal opacity; 2) faint focal opacity; 3) faint diffuse increase in density; 4) focal or diffuse interstitial pattern, and 5) focal or diffuse interstitial alveolus pattern. RESULTS AND CONCLUSIONS: Maintain CXR as a useful screening method in the middle stages of the disease, when CXR is more sensitive to detect lung involvement due to SARS-CoV-2. Our graph of affectation by SARS-CoV-2 does not present assessable differences with the expected curve in an epidemic


Assuntos
Humanos , Infecções por Coronavirus/diagnóstico por imagem , Pneumonia Viral/diagnóstico por imagem , Pandemias , Radiografia Torácica/estatística & dados numéricos , Estudos Longitudinais , Saúde da População Urbana
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