Literature DB >> 33596909

C2HEST score predicts clinical outcomes in heart failure with preserved ejection fraction: a secondary analysis of the TOPCAT trial.

Weihao Liang1,2, Yuzhong Wu1,2, Gregory Y H Lip3,4, Wengen Zhu5,6, Chen Liu7,8,9, Ruicong Xue1,2, Zexuan Wu1,2, Dexi Wu1,2, Jiangui He1,2, Yugang Dong1,2,10.   

Abstract

BACKGROUND: The C2HEST score has been validated for predicting AF in the general population or post-stroke patients. We aimed to assess whether this risk score could predict incident AF and other clinical outcomes in heart failure with preserved ejection fraction (HFpEF) patients.
METHODS: A total of 2202 HFpEF patients without baseline AF in the TOPCAT trial were stratified by baseline C2HEST score. Cox proportional hazard model and competing risk regression model was used to explore the relationship between C2HEST score and outcomes, including incident AF, stroke, all-cause death, cardiovascular death, any hospitalization, and HF hospitalization. The discriminative ability of the C2HEST score for various outcomes was assessed by calculating the area under the curve (AUC).
RESULTS: The incidence rates of incident AF, stroke, all-cause death, cardiovascular death, any hospitalization, and HF hospitalization were 1.79, 0.70, 3.81, 2.42, 15.50, and 3.32 per 100 person-years, respectively. When the C2HEST score was analyzed as a continuous variable, increased C2HEST score was associated with increased risk of incident AF (HR 1.50, 95% CI 1.29-1.75), as well as increased risks of all-cause death, cardiovascular death, any hospitalization, and HF hospitalization. The AUC for the C2HEST score in predicting incident AF (0.694, 95% CI 0.640-0.748) was higher than all-cause death, cardiovascular death, any hospitalization, or HF hospitalization.
CONCLUSIONS: The C2HEST score could predict the risk of incident AF as well as death and hospitalization with moderately good predictive abilities in patients with HFpEF. Its simplicity may allow the possibility of quick risk assessments in busy clinical settings.

Entities:  

Keywords:  Atrial fibrillation; Heart failure; Outcomes; Risk prediction

Mesh:

Year:  2021        PMID: 33596909      PMCID: PMC7890599          DOI: 10.1186/s12916-021-01921-w

Source DB:  PubMed          Journal:  BMC Med        ISSN: 1741-7015            Impact factor:   8.775


  43 in total

1.  Mobile Photoplethysmographic Technology to Detect Atrial Fibrillation.

Authors:  Yutao Guo; Hao Wang; Hui Zhang; Tong Liu; Zhaoguang Liang; Yunlong Xia; Li Yan; Yunli Xing; Haili Shi; Shuyan Li; Yanxia Liu; Fan Liu; Mei Feng; Yundai Chen; Gregory Y H Lip
Journal:  J Am Coll Cardiol       Date:  2019-09-02       Impact factor: 24.094

2.  CHA2DS2-VASc and ATRIA Scores and Clinical Outcomes in Patients with Heart Failure with Preserved Ejection Fraction.

Authors:  Wengen Zhu; Yuzhong Wu; Yuanyuan Zhou; Weihao Liang; Ruicong Xue; Zexuan Wu; Yugang Dong; Chen Liu
Journal:  Cardiovasc Drugs Ther       Date:  2020-12       Impact factor: 3.727

3.  Outcome parameters for trials in atrial fibrillation: executive summary.

Authors:  Paulus Kirchhof; Angelo Auricchio; Jeroen Bax; Harry Crijns; John Camm; Hans-Christoph Diener; Andreas Goette; Gerd Hindricks; Stefan Hohnloser; Lukas Kappenberger; Karl-Heinz Kuck; Gregory Y H Lip; Bertil Olsson; Thomas Meinertz; Silvia Priori; Ursula Ravens; Gerhard Steinbeck; Elisabeth Svernhage; Jan Tijssen; Alphons Vincent; Günter Breithardt
Journal:  Eur Heart J       Date:  2007-09-25       Impact factor: 29.983

4.  History of thyroid disorders in relation to clinical outcomes in atrial fibrillation.

Authors:  Helene Bruere; Laurent Fauchier; Anne Bernard Brunet; Bertrand Pierre; Edouard Simeon; Dominique Babuty; Nicolas Clementy
Journal:  Am J Med       Date:  2014-07-21       Impact factor: 4.965

5.  Evaluation of the C2HEST Risk Score as a Possible Opportunistic Screening Tool for Incident Atrial Fibrillation in a Healthy Population (From a Nationwide Danish Cohort Study).

Authors:  Gregory Y H Lip; Flemming Skjøth; Peter Brønnum Nielsen; Torben Bjerregaard Larsen
Journal:  Am J Cardiol       Date:  2019-10-10       Impact factor: 2.778

6.  A Simple Clinical Risk Score (C2HEST) for Predicting Incident Atrial Fibrillation in Asian Subjects: Derivation in 471,446 Chinese Subjects, With Internal Validation and External Application in 451,199 Korean Subjects.

Authors:  Yan-Guang Li; Daniele Pastori; Alessio Farcomeni; Pil-Sung Yang; Eunsun Jang; Boyoung Joung; Yu-Tang Wang; Yu-Tao Guo; Gregory Y H Lip
Journal:  Chest       Date:  2018-10-04       Impact factor: 9.410

7.  2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC)Developed with the special contribution of the Heart Failure Association (HFA) of the ESC.

Authors:  Piotr Ponikowski; Adriaan A Voors; Stefan D Anker; Héctor Bueno; John G F Cleland; Andrew J S Coats; Volkmar Falk; José Ramón González-Juanatey; Veli-Pekka Harjola; Ewa A Jankowska; Mariell Jessup; Cecilia Linde; Petros Nihoyannopoulos; John T Parissis; Burkert Pieske; Jillian P Riley; Giuseppe M C Rosano; Luis M Ruilope; Frank Ruschitzka; Frans H Rutten; Peter van der Meer
Journal:  Eur Heart J       Date:  2016-05-20       Impact factor: 29.983

8.  Usefulness of HATCH score in the prediction of new-onset atrial fibrillation for Asians.

Authors:  Kazuyoshi Suenari; Tze-Fan Chao; Chia-Jen Liu; Yasuki Kihara; Tzeng-Ji Chen; Shih-Ann Chen
Journal:  Medicine (Baltimore)       Date:  2017-01       Impact factor: 1.889

9.  Risk of stroke in chronic heart failure patients with preserved ejection fraction, but without atrial fibrillation: analysis of the CHARM-Preserved and I-Preserve trials.

Authors:  Azmil H Abdul-Rahim; Ana-Cristina Perez; Rachael L MacIsaac; Pardeep S Jhund; Brian L Claggett; Peter E Carson; Michel Komajda; Robert S McKelvie; Michael R Zile; Karl Swedberg; Salim Yusuf; Marc A Pfeffer; Scott D Solomon; Gregory Y H Lip; Kennedy R Lees; John J V McMurray
Journal:  Eur Heart J       Date:  2017-03-07       Impact factor: 29.983

10.  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

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  6 in total

Review 1.  Mimicking Metabolic Disturbance in Establishing Animal Models of Heart Failure With Preserved Ejection Fraction.

Authors:  Hui Li; Yi-Yuan Xia; Chun-Lei Xia; Zheng Li; Yi Shi; Xiao-Bo Li; Jun-Xia Zhang
Journal:  Front Physiol       Date:  2022-05-03       Impact factor: 4.755

2.  Validation of Risk Scores for Predicting Atrial Fibrillation Detected After Stroke Based on an Electronic Medical Record Algorithm: A Registry-Claims-Electronic Medical Record Linked Data Study.

Authors:  Cheng-Yang Hsieh; Hsuan-Min Kao; Kuan-Lin Sung; Luciano A Sposato; Sheng-Feng Sung; Swu-Jane Lin
Journal:  Front Cardiovasc Med       Date:  2022-04-29

3.  Mortality Predictive Value of the C2HEST Score in Elderly Subjects with COVID-19-A Subanalysis of the COLOS Study.

Authors:  Piotr Rola; Adrian Doroszko; Małgorzata Trocha; Katarzyna Giniewicz; Krzysztof Kujawa; Marek Skarupski; Jakub Gawryś; Tomasz Matys; Ewa Szahidewicz-Krupska; Damian Gajecki; Barbara Adamik; Krzysztof Kaliszewski; Katarzyna Kilis-Pstrusinska; Krzysztof Letachowicz; Agnieszka Matera-Witkiewicz; Michał Pomorski; Marcin Protasiewicz; Konrad Majchrzak; Janusz Sokołowski; Ewa Anita Jankowska; Katarzyna Madziarska
Journal:  J Clin Med       Date:  2022-02-14       Impact factor: 4.241

Review 4.  C2HEST score for atrial fibrillation risk prediction models: a Diagnostic Accuracy Tests meta-analysis.

Authors:  Habib Haybar; Kimia Shirbandi; Fakher Rahim
Journal:  Egypt Heart J       Date:  2021-12-04

5.  Usefulness of C2HEST Score in Predicting Clinical Outcomes of COVID-19 in Heart Failure and Non-Heart-Failure Cohorts.

Authors:  Piotr Rola; Adrian Doroszko; Małgorzata Trocha; Katarzyna Giniewicz; Krzysztof Kujawa; Jakub Gawryś; Tomasz Matys; Damian Gajecki; Marcin Madziarski; Stanisław Zieliński; Tomasz Skalec; Jarosław Drobnik; Agata Sebastian; Anna Zubkiewicz-Zarębska; Barbara Adamik; Krzysztof Kaliszewski; Katarzyna Kiliś-Pstrusinska; Agnieszka Matera-Witkiewicz; Michał Pomorski; Marcin Protasiewicz; Janusz Sokołowski; Szymon Włodarczak; Ewa Anita Jankowska; Katarzyna Madziarska
Journal:  J Clin Med       Date:  2022-06-17       Impact factor: 4.964

6.  The Usefulness of the C2HEST Risk Score in Predicting Clinical Outcomes among Hospitalized Subjects with COVID-19 and Coronary Artery Disease.

Authors:  Piotr Rola; Adrian Doroszko; Małgorzata Trocha; Damian Gajecki; Jakub Gawryś; Tomasz Matys; Katarzyna Giniewicz; Krzysztof Kujawa; Marek Skarupski; Barbara Adamik; Krzysztof Kaliszewski; Katarzyna Kiliś-Pstrusińska; Agnieszka Matera-Witkiewicz; Michał Pomorski; Marcin Protasiewicz; Marcin Madziarski; Marta Madej; Grzegorz Gogolewski; Goutam Chourasia; Dorota Zielińska; Szymon Włodarczak; Maciej Rabczyński; Janusz Sokołowski; Ewa Anita Jankowska; Katarzyna Madziarska
Journal:  Viruses       Date:  2022-08-14       Impact factor: 5.818

  6 in total

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