Literature DB >> 33129797

Multimorbidity networks of chronic obstructive pulmonary disease and heart failure in men and women: Evidence from the EpiChron Cohort.

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.
Copyright © 2020 Elsevier B.V. All rights reserved.

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


  6 in total

1.  Identifying multimorbidity profiles associated with COVID-19 severity in chronic patients using network analysis in the PRECOVID Study.

Authors:  Jonás Carmona-Pírez; Antonio Gimeno-Miguel; Kevin Bliek-Bueno; Beatriz Poblador-Plou; Jesús Díez-Manglano; Ignatios Ioakeim-Skoufa; Francisca González-Rubio; Antonio Poncel-Falcó; Alexandra Prados-Torres; Luis A Gimeno-Feliu
Journal:  Sci Rep       Date:  2022-02-18       Impact factor: 4.379

2.  Applying the FAIR4Health Solution to Identify Multimorbidity Patterns and Their Association with Mortality through a Frequent Pattern Growth Association Algorithm.

Authors:  Jonás Carmona-Pírez; Beatriz Poblador-Plou; Antonio Poncel-Falcó; Jessica Rochat; Celia Alvarez-Romero; Alicia Martínez-García; Carmen Angioletti; Marta Almada; Mert Gencturk; A Anil Sinaci; Jara Eloisa Ternero-Vega; Christophe Gaudet-Blavignac; Christian Lovis; Rosa Liperoti; Elisio Costa; Carlos Luis Parra-Calderón; Aida Moreno-Juste; Antonio Gimeno-Miguel; Alexandra Prados-Torres
Journal:  Int J Environ Res Public Health       Date:  2022-02-11       Impact factor: 3.390

3.  Multimorbidity Profiles and Infection Severity in COVID-19 Population Using Network Analysis in the Andalusian Health Population Database.

Authors:  Jonás Carmona-Pírez; Ignatios Ioakeim-Skoufa; Antonio Gimeno-Miguel; Beatriz Poblador-Plou; Francisca González-Rubio; Dolores Muñoyerro-Muñiz; Juliana Rodríguez-Herrera; Juan Antonio Goicoechea-Salazar; Alexandra Prados-Torres; Román Villegas-Portero
Journal:  Int J Environ Res Public Health       Date:  2022-03-23       Impact factor: 3.390

4.  Data-driven integrated care pathways: Standardization of delivering patient-centered care.

Authors:  Shasha Han; Libing Ma
Journal:  Front Med (Lausanne)       Date:  2022-08-25

5.  Epidemiology of Chronic Obstructive Pulmonary Disease (COPD) Comorbidities in Lithuanian National Database: A Cluster Analysis.

Authors:  Elena Jurevičienė; Greta Burneikaitė; Laimis Dambrauskas; Vytautas Kasiulevičius; Edita Kazėnaitė; Rokas Navickas; Roma Puronaitė; Giedrė Smailytė; Žydrūnė Visockienė; Edvardas Danila
Journal:  Int J Environ Res Public Health       Date:  2022-01-15       Impact factor: 3.390

6.  Network analytics and machine learning for predicting length of stay in elderly patients with chronic diseases at point of admission.

Authors:  Zhixu Hu; Hang Qiu; Liya Wang; Minghui Shen
Journal:  BMC Med Inform Decis Mak       Date:  2022-03-10       Impact factor: 2.796

  6 in total

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