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Multimorbidity Profiles and Infection Severity in COVID-19 Population Using Network Analysis in the Andalusian Health Population Database

Author

Listed:
  • Jonás Carmona-Pírez

    (EpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Miguel Servet University Hospital, 50009 Zaragoza, Spain
    Health Services Research on Chronic Patients Network (REDISSEC), ISCIII, 28029 Madrid, Spain
    Delicias-Sur Primary Care Health Centre, Aragon Health Service (SALUD), 50009 Zaragoza, Spain
    Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), ISCIII, 28029 Madrid, Spain)

  • Ignatios Ioakeim-Skoufa

    (EpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Miguel Servet University Hospital, 50009 Zaragoza, Spain
    WHO Collaborating Centre for Drug Statistics Methodology, Norwegian Institute of Public Health, NO-0213 Oslo, Norway
    Department of Drug Statistics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, NO-0213 Oslo, Norway
    Drug Utilization Work Group, Spanish Society of Family and Community Medicine (SEMFYC), 08009 Barcelona, Spain)

  • Antonio Gimeno-Miguel

    (EpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Miguel Servet University Hospital, 50009 Zaragoza, Spain
    Health Services Research on Chronic Patients Network (REDISSEC), ISCIII, 28029 Madrid, Spain
    Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), ISCIII, 28029 Madrid, Spain
    These authors contributed equally to this work.)

  • Beatriz Poblador-Plou

    (EpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Miguel Servet University Hospital, 50009 Zaragoza, Spain
    Health Services Research on Chronic Patients Network (REDISSEC), ISCIII, 28029 Madrid, Spain
    Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), ISCIII, 28029 Madrid, Spain)

  • Francisca González-Rubio

    (EpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Miguel Servet University Hospital, 50009 Zaragoza, Spain
    Health Services Research on Chronic Patients Network (REDISSEC), ISCIII, 28029 Madrid, Spain
    Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), ISCIII, 28029 Madrid, Spain
    Drug Utilization Work Group, Spanish Society of Family and Community Medicine (SEMFYC), 08009 Barcelona, Spain)

  • Dolores Muñoyerro-Muñiz

    (Subdirección Técnica Asesora de Gestión de la Información, Servicio Andaluz de Salud (SAS), 41071 Seville, Spain)

  • Juliana Rodríguez-Herrera

    (Subdirección Técnica Asesora de Gestión de la Información, Servicio Andaluz de Salud (SAS), 41071 Seville, Spain)

  • Juan Antonio Goicoechea-Salazar

    (Subdirección Técnica Asesora de Gestión de la Información, Servicio Andaluz de Salud (SAS), 41071 Seville, Spain
    These authors contributed equally to this work.)

  • Alexandra Prados-Torres

    (EpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, Miguel Servet University Hospital, 50009 Zaragoza, Spain
    Health Services Research on Chronic Patients Network (REDISSEC), ISCIII, 28029 Madrid, Spain
    Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), ISCIII, 28029 Madrid, Spain
    These authors contributed equally to this work.)

  • Román Villegas-Portero

    (Subdirección Técnica Asesora de Gestión de la Información, Servicio Andaluz de Salud (SAS), 41071 Seville, Spain
    These authors contributed equally to this work.)

Abstract

Identifying the population at risk of COVID-19 infection severity is a priority for clinicians and health systems. Most studies to date have only focused on the effect of specific disorders on infection severity, without considering that patients usually present multiple chronic diseases and that these conditions tend to group together in the form of multimorbidity patterns. In this large-scale epidemiological study, including primary and hospital care information of 166,242 patients with confirmed COVID-19 infection from the Spanish region of Andalusia, we applied network analysis to identify multimorbidity profiles and analyze their impact on the risk of hospitalization and mortality. Our results showed that multimorbidity was a risk factor for COVID-19 severity and that this risk increased with the morbidity burden. Individuals with advanced cardio-metabolic profiles frequently presented the highest infection severity risk in both sexes. The pattern with the highest severity associated in men was present in almost 28.7% of those aged ≥ 80 years and included associations between cardiovascular, respiratory, and metabolic diseases; age-adjusted odds ratio (OR) 95% confidence interval (1.71 (1.44–2.02)). In women, similar patterns were also associated the most with infection severity, in 7% of 65–79-year-olds (1.44 (1.34–1.54)) and in 29% of ≥80-year-olds (1.35 (1.18–1.53)). Patients with mental health patterns also showed one of the highest risks of COVID-19 severity, especially in women. These findings strongly recommend the implementation of personalized approaches to patients with multimorbidity and SARS-CoV-2 infection, especially in the population with high morbidity burden.

Suggested Citation

  • Jonás Carmona-Pírez & Ignatios Ioakeim-Skoufa & Antonio Gimeno-Miguel & Beatriz Poblador-Plou & Francisca González-Rubio & Dolores Muñoyerro-Muñiz & Juliana Rodríguez-Herrera & Juan Antonio Goicoechea, 2022. "Multimorbidity Profiles and Infection Severity in COVID-19 Population Using Network Analysis in the Andalusian Health Population Database," IJERPH, MDPI, vol. 19(7), pages 1-13, March.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:7:p:3808-:d:777658
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    References listed on IDEAS

    as
    1. Beatriz Poblador-Plou & Jonás Carmona-Pírez & Ignatios Ioakeim-Skoufa & Antonio Poncel-Falcó & Kevin Bliek-Bueno & Mabel Cano-del Pozo & Luis Andrés Gimeno-Feliú & Francisca González-Rubio & Mercedes , 2020. "Baseline Chronic Comorbidity and Mortality in Laboratory-Confirmed COVID-19 Cases: Results from the PRECOVID Study in Spain," IJERPH, MDPI, vol. 17(14), pages 1-14, July.
    2. Ignatios Ioakeim-Skoufa & Beatriz Poblador-Plou & Jonás Carmona-Pírez & Jesús Díez-Manglano & Rokas Navickas & Luis Andrés Gimeno-Feliu & Francisca González-Rubio & Elena Jureviciene & Laimis Dambraus, 2020. "Multimorbidity Patterns in the General Population: Results from the EpiChron Cohort Study," IJERPH, MDPI, vol. 17(12), pages 1-15, June.
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    Cited by:

    1. Ignatios Ioakeim-Skoufa & Mercedes Clerencia-Sierra & Aida Moreno-Juste & Carmen Elías de Molins Peña & Beatriz Poblador-Plou & Mercedes Aza-Pascual-Salcedo & Francisca González-Rubio & Alexandra Prad, 2022. "Multimorbidity Clusters in the Oldest Old: Results from the EpiChron Cohort," IJERPH, MDPI, vol. 19(16), pages 1-15, August.
    2. Marina Lleal & Marisa Baré & Sara Ortonobes & Daniel Sevilla-Sánchez & Rosa Jordana & Susana Herranz & Maria Queralt Gorgas & Mariona Espaulella-Ferrer & Marta Arellano & Marta de Antonio & Gloria Jul, 2022. "Comprehensive Multimorbidity Patterns in Older Patients Are Associated with Quality Indicators of Medication—MoPIM Cohort Study," IJERPH, MDPI, vol. 19(23), pages 1-16, November.

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