Chronic Multimorbidity Patterns in Relation to COVID-19 Severe Infection

Risk of Severe COVID-19, Taking Into Account Multimorbidity Patterns, as Well as Other Clinical and Sociodemographic Variables. Big Data Mrisk-COVID Project

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04981249

Acronym

Mrisk-COVID

Enrollment

14286

Registered

2021-07-28

Start date

2021-01-01

Completion date

2021-05-31

Last updated

2021-08-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic Disease, Covid-19

Keywords

Multimorbidity, Cluster analysis, Covid-19

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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

21 Years to 95 Years

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

Design outcomes

Primary

Measure	Time frame	Description
Covid-19 severe infection	From 27-February-2020 to 15-June-2020	Severe COVID-19 infection was defined as the occurrence of at least one of the following conditions during any of the registered COVID-19 episodes: severe respiratory affection (including insufficiency, failure, or distress); use of respiratory support (including mechanical ventilation or oxygen therapy); septic shock; multiple organ failure (the combination of respiratory failure and any other organ failure); inflammatory response; admission to intensive care unit; and mortality.
Covid-19 mortality	From 27-February-2020 to 15-June-2020	Death associated to COVID-19 infection episode

Countries

Spain

Outcome results