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Multimorbidity patterns among Covid-19 deaths

Proposal for the construction of etiological models

Datos Bibliográficos

ID14968985
AutoresJulián Alfredo Fernández-Niño (0000-0002-8948-8481, Universidad del Norte, autor de correspondencia), John A Guerra-Gómez (Northeastern University, Silicon Valley, United States of America), John A Guerra‐Gomez (0000-0001-7943-0000, Silicon Valley University), Alvaro J Idrovo (0000-0001-9579-1463, Universidad Industrial de Santander, Bucaramanga, Colombia)
Año2020
Volumen44
Páginas1
Fecha de publicación2020-12-30
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaRevista Panamericana de Salud Pública (JOURNAL)
Identificadores de la revistaISSN: 1020-4989 • E-ISSN: 1680-5348
EditorialPan American Health Organization (PUBLISHER • US)
DOI10.26633/rpsp.2020.166
PMID33417654
OpenAlexW3118063669
IdiomaEN
Citas recibidas1
Referencias citadas31

Objectives. To describe patterns of multimorbidity among fatal cases of COVID-19, and to propose a classification of patients based on age and multimorbidity patterns to begin the construction of etiological models. Methods. Data of Colombian confirmed deaths of COVID-19 until June 11, 2020, were included in this analysis (n=1488 deaths). Relationships between COVID-19, combinations of health conditions and age were explored using locally weighted polynomial regressions. Results. The most frequent health conditions were high blood pressure, respiratory disease, diabetes, cardiovascular disease, and kidney disease. Dyads more frequents were high blood pressure with diabetes, cardiovascular disease or respiratory disease. Some multimorbidity patterns increase probability of death among older individuals, whereas other patterns are not age-related, or decrease the probability of death among older people. Not all multimorbidity increases with age, as is commonly thought. Obesity, alone or with other diseases, was associated with a higher risk of severity among young people, while the risk of the high blood pressure/diabetes dyad tends to have an inverted U distribution in relation with age. Conclusions. Classification of individuals according to multimorbidity in the medical management of COVID-19 patients is important to determine the possible etiological models and to define patient triage for hospitalization. Moreover, identification of non-infected individuals with high-risk ages and multimorbidity patterns serves to define possible interventions of selective confinement or special management

Blood pressure · Coronavirus disease 2019 (COVID-19 · Diabetes mellitus · Disease · Etiology · Infectious disease (medical specialty · Kidney disease · Multimorbidity · Obesity · Psychiatry · Psychological intervention · Triage · Chronic Disease Management Strategies · COVID-19 Clinical Research Studies · Healthcare cost, quality, practices · Medicine · Emergency Medicine · Internal Medicine

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Obras citantes distintas1
Citas por año0,25
Intervalo de citas2022 - 2022 (1)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 1
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