To Örebro University

oru.seÖrebro universitets publikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Comorbid conditions as predictors of mortality in severe COPD - an eight-year follow-up cohort study
Department of Respiratory Medicine, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Department of Medical Sciences, Respiratory; Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.
Department of Public Health and Caring Science, Family Medicine and Preventive Medicine, Uppsala University, Uppsala, Sweden.
Division for Lung and Airway Research, Institute of Environmental Medicine, Stockholm, Sweden.
Vise andre og tillknytning
2023 (engelsk)Inngår i: European Clinical Respiratory Journal, ISSN 2001-8525, Vol. 10, nr 1, artikkel-id 2181291Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Purpose: Co-morbidities are common in chronic obstructive pulmonary disease (COPD) and are associated with increased morbidity and mortality. The aim of the present study was to explore the prevalence of several comorbid conditions in severe COPD, and to investigate and compare their associations with long-term mortality.

Methods: In May 2011 to March 2012, 241 patients with COPD stage 3 or 4 were included in the study. Information was collected on sex, age, smoking history, weight and height, current pharmacological treatment, number of exacerbations the recent year and comorbid conditions. At December 31st, 2019, mortality data (all-cause and cause specific) were collected from the National Cause of Death Register. Data were analyzed using Cox-regression analysis with gender, age, previously established predictors of mortality and comorbid conditions as independent variables, and all-cause mortality and cardiac and respiratory mortality, respectively, as dependent variables.

Results: Out of 241 patients, 155 (64%) were deceased at the end of the study period; 103 patients (66%) died of respiratory disease and 25 (16%) of cardiovascular disease. Impaired kidney function was the only comorbid condition independently associated with increased all-cause mortality (HR (95% CI) 3.41 (1.47-7.93) p=0.004) and respiratory mortality (HR (95%CI) 4.63 (1.61 to 13.4), p = 0.005). In addition, age >= 70, BMI <22 and lower FEV1 expressed as %predicted were significantly associated with increased all-cause and respiratory mortality.

Conclusion: In addition to the risk factors high age, low BMI and poor lung function; impaired kidney function appears to be an important risk factor for mortality in the long term, which should be taken into account in the medical care of patients with severe COPD.

sted, utgiver, år, opplag, sider
Taylor & Francis, 2023. Vol. 10, nr 1, artikkel-id 2181291
Emneord [en]
COPD, mortality, predictor, comorbidity, impaired kidney function
HSV kategori
Identifikatorer
URN: urn:nbn:se:oru:diva-105078DOI: 10.1080/20018525.2023.2181291ISI: 000939762500001PubMedID: 36861117Scopus ID: 2-s2.0-85149373938OAI: oai:DiVA.org:oru-105078DiVA, id: diva2:1744560
Tilgjengelig fra: 2023-03-20 Laget: 2023-03-20 Sist oppdatert: 2024-01-02bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstPubMedScopus

Person

Sundh, Josefin

Søk i DiVA

Av forfatter/redaktør
Sundh, Josefin
Av organisasjonen
I samme tidsskrift
European Clinical Respiratory Journal

Søk utenfor DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric

doi
pubmed
urn-nbn
Totalt: 77 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf