Sökning: WFRF:(Pocock S. J.) >
Predictors of morta...
Predictors of mortality and morbidity in patients with chronic heart failure
-
Pocock, S. J. (författare)
-
Wang, D. (författare)
-
Pfeffer, M. A. (författare)
-
visa fler...
-
Yusuf, S. (författare)
-
McMurray, J. J. (författare)
-
- Swedberg, Karl, 1944 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för akut och kardiovaskulär medicin,Institute of Medicine, Department of Emergeny and Cardiovascular Medicine
-
Ostergren, J. (författare)
-
Michelson, E. L. (författare)
-
Pieper, K. S. (författare)
-
Granger, C. B. (författare)
-
visa färre...
-
(creator_code:org_t)
- 2006
- 2006
- Engelska.
-
Ingår i: Eur Heart J. - 0195-668X .- 0195-668X. ; 27:1, s. 65-75
- Relaterad länk:
-
https://gup.ub.gu.se...
Abstract
Ämnesord
Stäng
- AIMS: We aimed to develop prognostic models for patients with chronic heart failure (CHF). METHODS AND RESULTS: We evaluated data from 7599 patients in the CHARM programme with CHF with and without left ventricular systolic dysfunction. Multi-variable Cox regression models were developed using baseline candidate variables to predict all-cause mortality (n=1831 deaths) and the composite of cardiovascular (CV) death and heart failure (HF) hospitalization (n=2460 patients with events). Final models included 21 predictor variables for CV death/HF hospitalization and for death. The three most powerful predictors were older age (beginning >60 years), diabetes, and lower left ventricular ejection fraction (EF) (beginning <45%). Other independent predictors that increased risk included higher NYHA class, cardiomegaly, prior HF hospitalization, male sex, lower body mass index, and lower diastolic blood pressure. The model accurately stratified actual 2-year mortality from 2.5 to 44% for the lowest to highest deciles of predicted risk. CONCLUSION: In a large contemporary CHF population, including patients with preserved and decreased left ventricular systolic function, routine clinical variables can discriminate risk regardless of EF. Diabetes was found to be a surprisingly strong independent predictor. These models can stratify risk and help define how patient characteristics relate to clinical course.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Kardiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)
Nyckelord
- Adult
- Age Distribution
- Aged
- Cause of Death
- Chronic Disease
- Heart Failure/*mortality
- Hospitalization/statistics & numerical data
- Humans
- Middle Aged
- Morbidity
- Prognosis
- Proportional Hazards Models
- Risk Factors
- Survival Analysis
- Sweden/epidemiology
- Ventricular Dysfunction
- Left/mortality
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas
- Av författaren/redakt...
-
Pocock, S. J.
-
Wang, D.
-
Pfeffer, M. A.
-
Yusuf, S.
-
McMurray, J. J.
-
Swedberg, Karl, ...
-
visa fler...
-
Ostergren, J.
-
Michelson, E. L.
-
Pieper, K. S.
-
Granger, C. B.
-
visa färre...
- Om ämnet
-
- MEDICIN OCH HÄLSOVETENSKAP
-
MEDICIN OCH HÄLS ...
-
och Klinisk medicin
-
och Kardiologi
- Artiklar i publikationen
-
Eur Heart J
- Av lärosätet
-
Göteborgs universitet