Chronic Multimorbidity Patterns in Relation to COVID-19 Severe Infection

NCT ID: NCT04981249

Last Updated: 2021-08-04

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 14286 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2021-01-01
• Study Completion Date: 2021-05-31

Brief Summary

The aim of the study was to analyze the patterns of chronic multimorbidity of a cohort of Covid-19 patients, and to assess the relation between the patterns and the development of severe infection or mortality.

Detailed Description

This is a Big Data study that aims to establish the multimorbidity (MM) clusters of a cohort of Covid-19 patients, and assess their potential relation with severe infection or mortality. Databases of demographic information and complete medical records from the cohort will be provided by the Agency for Health Quality and Assessment of Catalonia (AQuAS). Data will be collected and integrated in a complete database in order to define the study variables: multimorbidity patterns, COVID-19 severe infection and COVID-19 associated mortality. The population will be stratified by sex and age (21-45, 46-65, 66-80 and 81-95 years). Diagnoses from primary care and hospitals will be filtered and classified using the Chronic Condition Indicator v.2021 and the Clinical Classification Software v.2021 [1], in order to identify the Chronic Conditions (CC) of the patients. CC with prevalence >2% in each age-sex strata will be subjected to a fuzzy c-means clustering analysis. The final number of clusters in each age-sex group will be determined under the clinical criteria of the research group members. Percentages of patients that suffered severe Covid-19 infection or death in each cluster will be calculated. Bivariate statistical analysis comparing the demographic data and the cluster distribution with severe infection and mortality will be performed.

Conditions

Covid-19; Chronic Disease

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: RETROSPECTIVE

Eligibility Criteria

Inclusion Criteria

• Positive results of Covid-19 laboratory tests
• Covid-19 related clinical profile verified by healthcare professionals

Exclusion Criteria

• Male >90 years
• Females >95 years

• Minimum Eligible Age: 21 Years
• Maximum Eligible Age: 95 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Agència de Qualitat i Avaluació Sanitàries

OTHER_GOV

Sponsor Role: collaborator

Instituto Aragones de Ciencias de la Salud

OTHER_GOV

Sponsor Role: collaborator

Corporacion Parc Tauli

OTHER

Sponsor Role: lead

Responsible Party

Marisa Baré, MD, MPH, PhD

Coordinator

Responsibility Role: PRINCIPAL_INVESTIGATOR

Locations

Corporacio Parc Taulí

Sabadell, , Spain

Countries

Spain

References

Lleal M, Corral-Vazquez C, Bare M, Comet R, Herranz S, Baigorri F, Gimeno-Miguel A, Raurich M, Fortia C, Navarro M, Poblador-Plou B, Bare M. Multimorbidity patterns in COVID-19 patients and their relationship with infection severity: MRisk-COVID study. PLoS One. 2023 Aug 31;18(8):e0290969. doi: 10.1371/journal.pone.0290969. eCollection 2023.

Reference Type: DERIVED

PMID: 37651465 (View on PubMed)

Related Links

https://www.hcup-us.ahrq.gov/home.jsp

Agency for Healthcare Research and Quality. Rockville. MD. Healthcare Cost and Utilization Project (HCUP)

Other Identifiers

CIR 2020/023

Identifier Type: -

Identifier Source: org_study_id