Literature DB >> 30571196

Clinical Phenotype and Genotype Associations With Improvement in Left Ventricular Function in Dilated Cardiomyopathy.

Job A J Verdonschot1,2, Mark R Hazebroek1, Ping Wang2, Sandra Sanders-van Wijk1, Jort J Merken1, Yvonne A Adriaansen2, Arthur van den Wijngaard2, Ingrid P C Krapels2, Hans-Peter Brunner-La Rocca1, Han G Brunner2,3, Stephane R B Heymans1,4,5.   

Abstract

BACKGROUND: Improvement of left ventricular function (also called left ventricular reverse remodeling [LVRR]) is an important treatment goal in patients with dilated cardiomyopathy (DCM) and hypokinetic non-DCM (HNDC) and is prognostically favorable. We tested whether genetic DCM mutations impact LVRR independent from clinical parameters. METHODS AND
RESULTS: Patients with DCM and hypokinetic non-DCM (n=346; mean left ventricular ejection fraction, 30%) underwent genotyping for 47 DCM-associated genes in addition to extensive phenotyping. LVRR was defined as improvement of left ventricular ejection fraction >50% or ≥10% absolute increase, with cardiac dimensions (left ventricular end diastolic diameter) ≤33 mm/m2 or ≥10% relative decrease. LVRR occurred in 180 (52%) patients after a median follow-up of 12-month optimal medical treatment. Low baseline left ventricular ejection fraction, a hypokinetic non-DCM phenotype, high systolic blood pressure, absence of a family history of DCM, female sex, absence of atrioventricular block, and treatment with β-blockers were all independent positive clinical predictors of LVRR. With the exception of TTN, genetic mutations were strongly associated with a lower rate of LVRR (odds ratio, 0.19 [0.09-0.42]; P<0.0001). TTN and LMNA were independently associated with LVRR (odds ratio, 2.49 [1.09-6.20]; P=0.038 and 0.11 [0.01-0.99]; P=0.049, respectively). Adding mutation status significantly improved discrimination (C statistics) and reclassification (integrated discrimination improvement/net reclassification index) of the clinical model predicting LVRR. Furthermore, the risk for heart failure hospitalization and cardiovascular death is lower in the LVRR patients on the long term (hazard ratio, 0.47 [0.24-0.91]; P=0.009 and 0.18 [0.04-0.82]; P=0.007, respectively), and LVRR is an independent predictor for event-free survival.
CONCLUSIONS: The genetic substrate is associated with the clinical course and long-term prognosis of patients with DCM/hypokinetic non-DCM.

Entities:  

Keywords:  cardiomyopathy, dilated; humans; therapeutics; ventricular remodeling

Mesh:

Substances:

Year:  2018        PMID: 30571196     DOI: 10.1161/CIRCHEARTFAILURE.118.005220

Source DB:  PubMed          Journal:  Circ Heart Fail        ISSN: 1941-3289            Impact factor:   8.790


  13 in total

1.  Prognostic value of malnutrition evaluated using the Global Leadership Initiative on Malnutrition criteria and its association with psoas muscle volume in non-ischemic dilated cardiomyopathy.

Authors:  Ryota Ito; Hiroaki Hiraiwa; Takashi Araki; Takashi Mizutani; Shingo Kazama; Yuki Kimura; Hideo Oishi; Tasuku Kuwayama; Toru Kondo; Ryota Morimoto; Takahiro Okumura; Toyoaki Murohara
Journal:  Heart Vessels       Date:  2022-06-14       Impact factor: 1.814

2.  MAGGIC Risk Model Predicts Adverse Events and Left Ventricular Remodeling in Non-Ischemic Dilated Cardiomyopathy.

Authors:  Yang Dong; Dongfei Wang; Jialan Lv; Zhicheng Pan; Rui Xu; Jie Ding; Xiao Cui; Xudong Xie; Xiaogang Guo
Journal:  Int J Gen Med       Date:  2020-12-10

3.  Speckle tracking echocardiography in hypokinetic non-dilated cardiomyopathy: comparison with dilated cardiomyopathy.

Authors:  Hoda Mombeini; Mozhgan Parsaee; Ahmad Amin
Journal:  ESC Heart Fail       Date:  2020-05-19

Review 4.  Sudden Cardiac Death Prediction in Non-ischemic Dilated Cardiomyopathy: a Multiparametric and Dynamic Approach.

Authors:  Daniel J Hammersley; Brian P Halliday
Journal:  Curr Cardiol Rep       Date:  2020-07-09       Impact factor: 2.931

5.  A clinical score for predicting left ventricular reverse remodelling in patients with dilated cardiomyopathy.

Authors:  Yuki Kimura; Takahiro Okumura; Ryota Morimoto; Shingo Kazama; Naoki Shibata; Hideo Oishi; Takashi Araki; Takashi Mizutani; Tasuku Kuwayama; Hiroaki Hiraiwa; Toru Kondo; Toyoaki Murohara
Journal:  ESC Heart Fail       Date:  2021-01-20

Review 6.  The Role of AI in Characterizing the DCM Phenotype.

Authors:  Clint Asher; Esther Puyol-Antón; Maleeha Rizvi; Bram Ruijsink; Amedeo Chiribiri; Reza Razavi; Gerry Carr-White
Journal:  Front Cardiovasc Med       Date:  2021-12-21

Review 7.  Dilated cardiomyopathy in the era of precision medicine: latest concepts and developments.

Authors:  Nicoletta Orphanou; Efstathios Papatheodorou; Aris Anastasakis
Journal:  Heart Fail Rev       Date:  2021-07-14       Impact factor: 4.654

Review 8.  Hypocalcaemic cardiomyopathy: a description of two cases and a literature review.

Authors:  Martin Válek; Lenka Roblová; Ivan Raška; Dita Schaffelhoferová; Tomáš Paleček
Journal:  ESC Heart Fail       Date:  2020-04-03

Review 9.  Clinical Implications of the Genetic Architecture of Dilated Cardiomyopathy.

Authors:  Lisa D Wilsbacher
Journal:  Curr Cardiol Rep       Date:  2020-10-10       Impact factor: 2.931

10.  Phenotypic clustering of dilated cardiomyopathy patients highlights important pathophysiological differences.

Authors:  Job A J Verdonschot; Marco Merlo; Fernando Dominguez; Ping Wang; Michiel T H M Henkens; Michiel E Adriaens; Mark R Hazebroek; Marco Masè; Luis E Escobar; Rafael Cobas-Paz; Kasper W J Derks; Arthur van den Wijngaard; Ingrid P C Krapels; Han G Brunner; Gianfranco Sinagra; Pablo Garcia-Pavia; Stephane R B Heymans
Journal:  Eur Heart J       Date:  2021-01-07       Impact factor: 29.983

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