Literature DB >> 23828875

CHADS2 and CHA2DS2-VASc scores to predict morbidity and mortality in heart failure patients candidates to cardiac resynchronization therapy.

Alessandro Paoletti Perini1, Simone Bartolini, Paolo Pieragnoli, Giuseppe Ricciardi, Laura Perrotta, Alessandro Valleggi, Giuseppe Vergaro, Federica Michelotti, Giulio Boggian, Biagio Sassone, Giosuè Mascioli, Michele Emdin, Luigi Padeletti.   

Abstract

AIMS: CHADS2 and CHA2DS2-VASc scores are pivotal in assessing the risk of stroke in atrial fibrillation patients, and were recently proved to predict hospitalizations and mortality in specific clinical settings. Aim of this study was to evaluate whether these scores could predict clinical outcomes [first hospitalization for heart failure (HF) and a combined event of HF hospitalization and death for any cause] in patients candidates to cardiac resynchronization therapy and implantable defibrillator (CRT-D). METHODS AND
RESULTS: In a retrospective multicentre Italian study, we enrolled 559 consecutive HF patients candidates to CRT-D, and we grouped them in three pre-specified risk classes: low (CHADS2/CHA2DS2-VASc 1-2), moderate (CHADS2/CHA2DS2-VASc 3-4), and high (CHADS2 5-6/CHA2DS2-VASc 5-8). All patients underwent regular follow-up at implanting centres every 6 months; data collection was extended till the 72th month of follow-up. At a median FU of 30 months, 143 patients (25.4%) were hospitalized for HF and 110 (19.5%) died. Event-free survival analysis showed a significant difference according to baseline CHADS2 and CHA2DS2-VASc scores (Log-Rank for HF P < 0.001 for CHADS2 and CHA2DS2-VASc; Log-Rank for combined end-point P = 0.001 for CHADS2, P < 0.001 for CHA2DS2-VASc). At multivariate analysis, independent predictors of endpoints were: previous atrial fibrillation (AF) or AF at implant, NYHA class, QRS duration and the CHA2DS2-VASc score (for HF hospitalization P = 0.013; for the combined event, P = 0.007), while the CHADS2 score was not independently associated with either the end-points.
CONCLUSION: In CRT-D patients, pre-implant CHA2DS2-VASc score is an independent predictor of major clinical events at 30-month follow-up.

Entities:  

Keywords:  CHA2DS2-VASc; CHADS2; Cardiac resynchronization therapy; Heart failure; Hospitalization; Mortality

Mesh:

Year:  2013        PMID: 23828875     DOI: 10.1093/europace/eut190

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  21 in total

1.  Prediction of acute coronary syndrome, ischemic stroke, and mortality in patients with heart failure: a comparison of CHA2DS2-VASc and AHEAD scores.

Authors:  Wei-Syun Hu; Cheng-Li Lin
Journal:  J Interv Card Electrophysiol       Date:  2019-06-14       Impact factor: 1.900

2.  The Association between CHA2DS2-VASc Score and Mortality in Patients with Heart Failure with Reduced Ejection Fraction.

Authors:  Orkun Temizer; Burak Açar; Çağrı Yayla; Sefa Ünal; Ahmet Göktuğ Ertem; Esra Gücük İpek; Uğur Canpolat; Bihter Şentürk; Hatice Selçuk; Timur Selçuk
Journal:  Acta Cardiol Sin       Date:  2017-07       Impact factor: 2.672

3.  Prediction of mortality in patients with implantable defibrillator using CHADS2 score: data from a prospective observational investigation.

Authors:  Giovanni Morani; Domenico Facchin; Giulio Molon; Gabriele Zanotto; Massimiliano Maines; Franco Zoppo; Sakis Themistoclakis; Giuseppe Allocca; Ermanno Dametto; Emanuele Bertaglia; Pietro Turrini; Bruna Bolzan; Alessandro Costa; Alessandro Proclemer; Flavio Luciano Ribichini
Journal:  Am J Cardiovasc Dis       Date:  2018-12-15

4.  CHA2DS2-VASc score predicts short- and long-term outcomes in patients with acute ischemic stroke treated with intravenous thrombolysis.

Authors:  Giovanni Merlino; Michele Rana; Sara Naliato; Iacopo Cancelli; Simone Lorenzut; Roberto Marinig; Roberto Eleopra
Journal:  J Thromb Thrombolysis       Date:  2018-01       Impact factor: 2.300

5.  Long-term outcomes following percutaneous left atrial appendage closure in patients with atrial fibrillation and contraindications to anticoagulation.

Authors:  Ander Regueiro; Ignacio Cruz-Gonzalez; Armando Bethencourt; Luis Nombela-Franco; Jean Champagne; Luis Asmarats; Pilar Jiménez-Quevedo; Tania Rodriguez-Gabella; Juan Carlos Rama-Merchan; Rishi Puri; Gilles O'Hara; Josep Rodés-Cabau
Journal:  J Interv Card Electrophysiol       Date:  2018-03-21       Impact factor: 1.900

6.  Clinical value of the HATCH score for predicting adverse outcomes in patients with heart failure.

Authors:  Naoki Shibata; Toru Kondo; Ryota Morimoto; Shingo Kazama; Akinori Sawamura; Itsumure Nishiyama; Toshiaki Kato; Tasuku Kuwayama; Hiroaki Hiraiwa; Norio Umemoto; Toru Asai; Takahiro Okumura; Toyoaki Murohara
Journal:  Heart Vessels       Date:  2022-02-28       Impact factor: 2.037

7.  Exploring and Identifying Prognostic Phenotypes of Patients with Heart Failure Guided by Explainable Machine Learning.

Authors:  Xue Zhou; Keijiro Nakamura; Naohiko Sahara; Masako Asami; Yasutake Toyoda; Yoshinari Enomoto; Hidehiko Hara; Mahito Noro; Kaoru Sugi; Masao Moroi; Masato Nakamura; Ming Huang; Xin Zhu
Journal:  Life (Basel)       Date:  2022-05-24

8.  The association of CHA2DS2-VASc score and blood biomarkers with ischemic stroke outcomes: the Belgrade stroke study.

Authors:  Tatjana S Potpara; Marija M Polovina; Dijana Djikic; Jelena M Marinkovic; Nikola Kocev; Gregory Y H Lip
Journal:  PLoS One       Date:  2014-09-03       Impact factor: 3.240

9.  The CHA2DS2-VASc score as a predictor of high mortality in hospitalized heart failure patients.

Authors:  Akiomi Yoshihisa; Shunsuke Watanabe; Yuki Kanno; Mai Takiguchi; Akihiko Sato; Tetsuro Yokokawa; Shunsuke Miura; Takeshi Shimizu; Satoshi Abe; Takamasa Sato; Satoshi Suzuki; Masayoshi Oikawa; Nobuo Sakamoto; Takayoshi Yamaki; Koichi Sugimoto; Hiroyuki Kunii; Kazuhiko Nakazato; Hitoshi Suzuki; Shu-Ichi Saitoh; Yasuchika Takeishi
Journal:  ESC Heart Fail       Date:  2016-07-18

10.  Prediction of Mortality in Incident Hemodialysis Patients: A Validation and Comparison of CHADS2, CHA2DS2, and CCI Scores.

Authors:  Hsun Yang; Yi-Hsin Chen; Teng-Fu Hsieh; Shiun-Yang Chuang; Ming-Ju Wu
Journal:  PLoS One       Date:  2016-05-05       Impact factor: 3.240

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