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[Analysis of characteristics of elderly patients admitted to an intensive care unit during six waves of the SARS-CoV-2 pandemic: Implications for medical care]. / Análisis de las características de los pacientes mayores que ingresaron en una unidad de cuidados intensivos durante las 6 olas de la pandemia por SARS-CoV-2: implicaciones para la atención médica.
González-Castro, Alejandro; Cuenca-Fito, Elena; Peñasco, Yhivian; Fernandez, Alba; Huertas Marín, Carmen; Dierssen-Soto, Trinidad; Ferrero-Franco, Raquel; Rodríguez-Borregán, Juan Carlos.
Afiliación
  • González-Castro A; Servicio de Medicina Intensiva, Hospital Universitario Marqués de Valdecilla, Santander, Cantabria, España.
  • Cuenca-Fito E; Servicio de Medicina Intensiva, Hospital Universitario Marqués de Valdecilla, Santander, Cantabria, España.
  • Peñasco Y; Servicio de Medicina Intensiva, Hospital Universitario Marqués de Valdecilla, Santander, Cantabria, España.
  • Fernandez A; Servicio de Medicina Intensiva, Hospital Universitario Marqués de Valdecilla, Santander, Cantabria, España.
  • Huertas Marín C; Servicio de Medicina Intensiva, Hospital Universitario Marqués de Valdecilla, Santander, Cantabria, España.
  • Dierssen-Soto T; Departamento de Estadística y Salud Publica, Facultad de Medicina, Universidad de Cantabria, Santander, Cantabria, España.
  • Ferrero-Franco R; DUE Servicio Cántabro de Salud, España.
  • Rodríguez-Borregán JC; Servicio de Medicina Intensiva, Hospital Universitario Marqués de Valdecilla, Santander, Cantabria, España. Electronic address: juancarlos.rborregan@scsalud.es.
Rev Esp Geriatr Gerontol ; 58(4): 101377, 2023.
Article en Es | MEDLINE | ID: mdl-37451199
ABSTRACT

OBJECTIVE:

To analyze the characteristics of seriously ill elderly patients during the six waves of the COVID-19 pandemic.

METHOD:

Retrospective, observational and analytical study of patients over 70 years of age admitted to the ICU (March-2020 to March-2022). Patients were categorized into three groups based on age 70-74 years; 75-79 years; and >80 years. A descriptive and comparative analysis of the sample was initially performed; and a 28-, 60- and 90-day survival analysis using the Kaplan-Meier method. Multivariate survival analysis was performed by fitting a Cox model.

RESULTS:

Of 301 patients, the lowest number of admissions occurred during the first wave (20 (6%)), compared to the wave with the highest number of admissions the sixth wave (76 (25%)). The survival curves at 28 days, 60 days and 90 days showed a higher probability of survival in the younger age groups (P<.01 and P=.01, respectively). Troponin at admission (per unit, ng/l) showed a significant association with 28- and 60-day mortality (HR 1.00; 95% CI 1.00-1.01; P<.05). Taking the 1st wave of the pandemic as a reference, admission in the 3rd wave behaved as a protective factor against mortality at 28 and 60 days of follow-up (HR 0.18; 95% CI 0.02-0.64; P<.05; HR 0.13; 95% CI 0.02-0.64; P<.05, respectively).

CONCLUSIONS:

The time of admission and biomarkers, such as troponin, constitute prognostic markers independent of age in the elderly population.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Prognostic_studies / Screening_studies Límite: Aged / Aged80 / Humans Idioma: Es Revista: Rev Esp Geriatr Gerontol Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Prognostic_studies / Screening_studies Límite: Aged / Aged80 / Humans Idioma: Es Revista: Rev Esp Geriatr Gerontol Año: 2023 Tipo del documento: Article