| Literature DB >> 33129797 |
Jonás Carmona-Pírez1, Beatriz Poblador-Plou2, Jesús Díez-Manglano3, Manuel Jesús Morillo-Jiménez4, José María Marín Trigo5, Ignatios Ioakeim-Skoufa6, Antonio Gimeno-Miguel7, Alexandra Prados-Torres8.
Abstract
Patients with heart failure (HF) and/or chronic obstructive pulmonary disease (COPD) constitute a complex population with different phenotypes based on pathophysiology, comorbidity, sex and age. We aimed to compare the multimorbidity patterns of HF and COPD in men and women using network analysis. Individuals aged 40 years or older on 2015 of the EpiChron Cohort (Aragon, Spain) were stratified by sex and as having COPD (n = 28,608), HF (n = 13,414), or COPD and HF (n = 3952). We constructed one network per group by obtaining age-adjusted phi correlations between comorbidities. For each sex, networks differed between the three study groups; between sexes, similarities were found for the two HF groups. We detected some specific diseases highly connected in all networks (e.g., cardio-metabolic, respiratory diseases, and chronic kidney failure), and some others that were group-specific that would require further study. We identified common clusters (i.e., cardio-metabolic, cardiovascular, cancer, and neuro-psychiatric) and others specific and clinically relevant in COPD patients (e.g., behavioral risk disorders were systematically associated with psychiatric diseases in women and cancer in men). Network analysis represents a powerful tool to analyze, visualize, and compare the multimorbidity patterns of COPD and HF, also facilitated by developing an ad hoc website.Entities:
Keywords: Chronic obstructive pulmonary disease; Heart failure; Multimorbidity; Network analysis; Real world data
Year: 2020 PMID: 33129797 DOI: 10.1016/j.mad.2020.111392
Source DB: PubMed Journal: Mech Ageing Dev ISSN: 0047-6374 Impact factor: 5.432