Literature DB >> 2743627

Determinants of end-stage idiopathic dilated cardiomyopathy: a multivariate analysis of 104 patients.

F Romeo1, F Pelliccia, C Cianfrocca, P Gallo, F Barilla, R Cristofani, A Reale.   

Abstract

Our purpose in this study was to investigate the correlation of clinical, electrocardiographic, hemodynamic, and histopathologic features at diagnosis with the long-term prognosis in 104 patients with idiopathic dilated cardiomyopathy to determine which factors are the independent determinants of the end-stage disease. During a mean follow-up of 3.8 +/- 3.5 years, 35 patients (33%) died, 14 (13%) suddenly and 21 (20%) from congestive heart failure. Univariate analysis of survival curves disclosed that clinical and electrocardiographic variables at diagnosis were similar in survivors and non-survivors. On the contrary, patients who subsequently died had higher mean right atrial pressure (p = 0.0001), right ventricular end-diastolic pressure (p = 0.0061), mean pulmonary artery pressure (p = 0.0001), and left ventricular systolic (p = 0.0049) and end-diastolic (p = 0.0021) pressure than survivors. They also exhibited larger left ventricular end-diastolic (p = 0.0046) and end-systolic (p = 0.0027) volumes, lower ejection fraction (p = 0.0001), and a greater proportion had severe mitral regurgitation (p = 0.0095). Univariate analysis of histologic findings collected in a subgroup of patients referred since 1984 revealed a mild degree of myocellular hypertrophy to be associated with a poor prognosis (p = 0.0217). Multivariate analysis selected only mean right atrial pressure (p = 0.0022), ejection fraction (p = 0.0089), and end-systolic volume (p = 0.0265) as independent determinants of cardiac death. Our results suggest that cardiac catheterization is mandatory for risk stratification of patients with idiopathic dilated cardiomyopathy, since it allows the assessment of hemodynamic, angiographic, and histopathologic features helpful in identifying patients with a poor prognosis.

Entities:  

Mesh:

Year:  1989        PMID: 2743627     DOI: 10.1002/clc.4960120708

Source DB:  PubMed          Journal:  Clin Cardiol        ISSN: 0160-9289            Impact factor:   2.882


  7 in total

1.  Evaluation of left ventricular volumes and ejection fraction by gated SPECT and cardiac MRI in patients with dilated cardiomyopathy.

Authors:  Feng Wang; Jian Zhang; Wei Fang; Shi-Hua Zhao; Min-Jie Lu; Zuo-Xiang He
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-04-18       Impact factor: 9.236

2.  Left atrial size is the major predictor of cardiac death and overall clinical outcome in patients with dilated cardiomyopathy: a long-term follow-up study.

Authors:  M G Modena; N Muia; F A Sgura; R Molinari; A Castella; R Rossi
Journal:  Clin Cardiol       Date:  1997-06       Impact factor: 2.882

3.  Black-white differences in mortality in idiopathic dilated cardiomyopathy: the Washington, DC, dilated cardiomyopathy study.

Authors:  S S Coughlin; J S Gottdiener; K L Baughman; A Wasserman; E S Marx; M C Tefft; B J Gersh
Journal:  J Natl Med Assoc       Date:  1994-08       Impact factor: 1.798

4.  The effects of mitral regurgitation alone are sufficient for leaflet remodeling.

Authors:  Elizabeth H Stephens; Tom C Nguyen; Akinobu Itoh; Neil B Ingels; D Craig Miller; K Jane Grande-Allen
Journal:  Circulation       Date:  2008-09-30       Impact factor: 29.690

5.  The efficacy of mitral valve surgery in children with dilated cardiomyopathy and severe mitral regurgitation.

Authors:  John P Breinholt; Charles D Fraser; William J Dreyer; Anthony C Chang; E O'Brian Smith; Jeffrey S Heinle; E Dean McKenzie; Sarah K Clunie; Jeffrey A Towbin; Susan W Denfield
Journal:  Pediatr Cardiol       Date:  2007-09-11       Impact factor: 1.655

6.  Relationship between native papillary muscle T1 time and severity of functional mitral regurgitation in patients with non-ischemic dilated cardiomyopathy.

Authors:  Shingo Kato; Shiro Nakamori; Sébastien Roujol; Francesca N Delling; Shadi Akhtari; Jihye Jang; Tamer Basha; Sophie Berg; Kraig V Kissinger; Beth Goddu; Warren J Manning; Reza Nezafat
Journal:  J Cardiovasc Magn Reson       Date:  2016-11-16       Impact factor: 5.364

7.  An Implementation of Patient-Specific Biventricular Mechanics Simulations With a Deep Learning and Computational Pipeline.

Authors:  Renee Miller; Eric Kerfoot; Charlène Mauger; Tevfik F Ismail; Alistair A Young; David A Nordsletten
Journal:  Front Physiol       Date:  2021-09-16       Impact factor: 4.566

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.