Comorbidity Patterns, Multimorbidity Networks, and Demographic Factors Associated with Comorbidity Distribution Among Deceased COVID-19 Cases in Grenada: A Retrospective Observational Study

Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in substantial global morbidity and mortality since its emergence in late 2019. This retrospective study aims to determine the comorbidity patterns, co-occurrence networks, and associated demographic factors among 244 deceased COVID-19 cases in Grenada between 2021 and 2022. The prevalence of comorbid conditions varied considerably across diseases. Hypertension was the most frequently observed condition (41%) followed by diabetes (34.8%), and ARDS (27%). Our co-occurrence analysis revealed a densely interconnected core of cardiometabolic and respiratory conditions, particularly involving hypertension, diabetes, and ARDS. Stratified clustering analyses demonstrated that multimorbidity patterns were broadly consistent across gender but differed by age group and vaccination status, with older individuals showing more pronounced clustering of cardiometabolic conditions. Logistic regression analysis further identified age and gender as significant factors associated with the distribution of specific comorbidities, including higher odds of hypertension among older individuals. This study highlights the central role of cardiometabolic diseases and older age in COVID-19 mortality in Grenada in 2021–2022 and underscores the importance of multimorbidity structures rather than isolated conditions. We suggest early identification of high-risk multimorbidity profiles, particularly among older adults, to improve clinical management and preventive strategies during future infectious disease outbreaks.

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Journal
COVID
Published
2026-08-24
DOI
https://doi.org/10.3390/covid6090152
Primary Topic
Chronic Disease Management Strategies
Type
article
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article

Comorbidity Patterns, Multimorbidity Networks, and Demographic Factors Associated with Comorbidity Distribution Among Deceased COVID-19 Cases in Grenada: A Retrospective Observational Study

Andy Alhassan, Shawn Charles, Satesh Bidaisee, Larissa Mark et al.
COVID
Chronic Disease Management Strategies
article

Comorbidity Patterns, Multimorbidity Networks, and Demographic Factors Associated with Comorbidity Distribution Among Deceased COVID-19 Cases in Grenada: A Retrospective Observational Study

Andy Alhassan, Shawn Charles, Satesh Bidaisee, Larissa Mark, Vanessa Matthew‐Belmar, C. N. L. Macpherson, Hamid Reza Sodagari, Trevor Noel
article en

Abstract

Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in substantial global morbidity and mortality since its emergence in late 2019. This retrospective study aims to determine the comorbidity patterns, co-occurrence networks, and associated demographic factors among 244 deceased COVID-19 cases in Grenada between 2021 and 2022. The prevalence of comorbid conditions varied considerably across diseases. Hypertension was the most frequently observed condition (41%) followed by diabetes (34.8%), and ARDS (27%). Our co-occurrence analysis revealed a densely interconnected core of cardiometabolic and respiratory conditions, particularly involving hypertension, diabetes, and ARDS. Stratified clustering analyses demonstrated that multimorbidity patterns were broadly consistent across gender but differed by age group and vaccination status, with older individuals showing more pronounced clustering of cardiometabolic conditions. Logistic regression analysis further identified age and gender as significant factors associated with the distribution of specific comorbidities, including higher odds of hypertension among older individuals. This study highlights the central role of cardiometabolic diseases and older age in COVID-19 mortality in Grenada in 2021–2022 and underscores the importance of multimorbidity structures rather than isolated conditions. We suggest early identification of high-risk multimorbidity profiles, particularly among older adults, to improve clinical management and preventive strategies during future infectious disease outbreaks.

COVIDVol. 6(9)
St. George's University (GD), Rocky Mountain College (US)
Good health and well-being
Openalex Percentile: Top 9%
Chronic Disease Management Strategies
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