Literature DB >> 30861693

Association between clinical risk scores and mortality in atrial fibrillation: Systematic review and network meta-regression of 669,000 patients.

Marco Proietti1,2, Alessio Farcomeni3, Giulio Francesco Romiti4, Arianna Di Rocco3, Filippo Placentino5, Igor Diemberger6, Gregory Yh Lip2,7,8, Giuseppe Boriani5.   

Abstract

AIMS: Many clinical scores for risk stratification in patients with atrial fibrillation have been proposed, and some have been useful in predicting all-cause mortality. We aim to analyse the relationship between clinical risk score and all-cause death occurrence in atrial fibrillation patients.
METHODS: We performed a systematic search in PubMed and Scopus from inception to 22 July 2017. We considered the following scores: ATRIA-Stroke, ATRIA-Bleeding, CHADS2, CHA2DS2-VASc, HAS-BLED, HATCH and ORBIT. Papers reporting data about scores and all-cause death rates were considered.
RESULTS: Fifty studies and 71 scores groups were included in the analysis, with 669,217 patients. Data on ATRIA-Bleeding, CHADS2, CHA2DS2-VASc and HAS-BLED were available. All the scores were significantly associated with an increased risk for all-cause death. All the scores showed modest predictive ability at five years (c-indexes (95% confidence interval) CHADS2: 0.64 (0.63-0.65), CHA2DS2-VASc: 0.62 (0.61-0.64), HAS-BLED: 0.62 (0.58-0.66)). Network meta-regression found no significant differences in predictive ability. CHA2DS2-VASc score had consistently high negative predictive value (≥94%) at one, three and five years of follow-up; conversely it showed the highest probability of being the best performing score (63% at one year, 60% at three years, 68% at five years).
CONCLUSION: In atrial fibrillation patients, contemporary clinical risk scores are associated with an increased risk of all-cause death. Use of these scores for death prediction in atrial fibrillation patients could be considered as part of holistic clinical assessment. The CHA2DS2-VASc score had consistently high negative predictive value during follow-up and the highest probability of being the best performing clinical score.

Entities:  

Keywords:  Atrial fibrillation; mortality; outcomes; prognostic risk scores; risk assessment

Year:  2018        PMID: 30861693     DOI: 10.1177/2047487318817662

Source DB:  PubMed          Journal:  Eur J Prev Cardiol        ISSN: 2047-4873            Impact factor:   7.804


  6 in total

1.  Rhythm- or rate-control strategies according to 4S-AF characterization scheme and long-term outcomes in atrial fibrillation patients: the FAMo (Fibrillazione Atriale in Modena) cohort.

Authors:  Gregory Y H Lip; Giuseppe Boriani; Vincenzo L Malavasi; Marco Vitolo; Jacopo Colella; Francesca Montagnolo; Marta Mantovani; Marco Proietti; Tatjana S Potpara
Journal:  Intern Emerg Med       Date:  2021-12-02       Impact factor: 5.472

2.  Clinical Phenotypes of Atrial Fibrillation and Mortality Risk-A Cluster Analysis from the Nationwide Italian START Registry.

Authors:  Daniele Pastori; Emilia Antonucci; Alberto Milanese; Danilo Menichelli; Gualtiero Palareti; Alessio Farcomeni; Pasquale Pignatelli
Journal:  J Pers Med       Date:  2022-05-12

3.  Prediction models for atrial fibrillation applicable in the community: a systematic review and meta-analysis.

Authors:  Jelle C L Himmelreich; Lieke Veelers; Wim A M Lucassen; Renate B Schnabel; Michiel Rienstra; Henk C P M van Weert; Ralf E Harskamp
Journal:  Europace       Date:  2020-05-01       Impact factor: 5.214

4.  CHA2DS2-VASc score stratifies mortality risk in heart failure patients aged 75 years and older with and without atrial fibrillation.

Authors:  Andrea Sonaglioni; Chiara Lonati; Elisabetta Rigamonti; Mauro Viganò; Gian Luigi Nicolosi; Marco Proietti; Michele Lombardo; Sergio Harari
Journal:  Aging Clin Exp Res       Date:  2022-03-16       Impact factor: 3.636

5.  Prognostic value of GRACE and CHA2DS2-VASc score among patients with atrial fibrillation undergoing percutaneous coronary intervention.

Authors:  Tingting Guo; Ziwei Xi; Hong Qiu; Yong Wang; Jianfeng Zheng; Kefei Dou; Bo Xu; Shubin Qiao; Weixian Yang; Runlin Gao
Journal:  Ann Med       Date:  2021-12       Impact factor: 4.709

6.  CHA2DS2-VASc score as an independent outcome predictor in patients hospitalized with acute ischemic stroke.

Authors:  Chun-Hung Su; Chien-Hsien Lo; Hsin-Hung Chen; Chin-Feng Tsai; Hei-Tung Yip; Kai-Cheng Hsu; Chung Y Hsu; Chia-Hung Kao
Journal:  PLoS One       Date:  2022-07-13       Impact factor: 3.752

  6 in total

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