Literature DB >> 24497604

Frailty is a predictor of short- and mid-term mortality after elective cardiac surgery independently of age.

Simon H Sündermann1, Anika Dademasch, Burkhardt Seifert, Héctor Rodriguez Cetina Biefer, Maximilian Y Emmert, Thomas Walther, Stephan Jacobs, Friedrich-Wilhelm Mohr, Volkmar Falk, Christoph Thomas Starck.   

Abstract

OBJECTIVES: Assessment of perioperative risk of elderly patients in cardiac surgery is difficult, and most of the common risk scores show over- or underestimation. Two frailty scores, the comprehensive assessment of frailty (CAF) score and the Frailty predicts death One yeaR after CArdiac Surgery Test (FORECAST), were developed as additional tools to estimate the preoperative mortality risk, taking into consideration the frailty status of elderly patients.
METHODS: Four hundred and fifty patients who were referred for elective cardiac surgery were included. All the patients were assessed with the CAF test and the FORECAST. Thirty-day and 1-year mortality were evaluated by telephone interview. Univariate and bivariate logistic regression were performed to test the predictive power of the tests on mortality. Correlation of the scores with age was calculated with Spearman ranks. Three commensurate groups were built for each of the frailty scores and the outcome was compared between the groups. All analyses were performed for Society of Thoracic Surgeons (STS) and European System for Cardiac Operative Risk Evaluation (EuroSCORE) accordingly.
RESULTS: A total of 227 male and 223 female patients were included. Thirty-day mortality was 6.1%, and 1-year mortality was 13.3%. Logistic regression showed that both scores are able to predict 30-day as well as 1-year mortality. Bivariate logistic regression showed that both frailty scores give relevant additional information to the STS and EuroSCORE for the prediction of 1-year mortality. The frailty scores were only weakly correlated with age in contrast to STS and EuroSCORE and therefore can be used as indicator of the biological age of patients besides the numerical age. Survival up to 1 year was relevantly reduced in the group of patients with the higher frailty scores.
CONCLUSIONS: CAF and FORECAST are additional tools to evaluate elderly patients adequately before elective cardiac surgery, and showed an association with short- and mid-term mortality independently of age.

Entities:  

Keywords:  Cardiac surgical procedures; Elderly; Frail; Risk assessment

Mesh:

Year:  2014        PMID: 24497604     DOI: 10.1093/icvts/ivu006

Source DB:  PubMed          Journal:  Interact Cardiovasc Thorac Surg        ISSN: 1569-9285


  27 in total

1.  Can routine preoperative data predict adverse outcomes in the elderly? Development and validation of a simple risk model incorporating a chart-derived frailty score.

Authors:  Levana G Amrock; Mark D Neuman; Hung-Mo Lin; Stacie Deiner
Journal:  J Am Coll Surg       Date:  2014-06-03       Impact factor: 6.113

2.  Predicted Risk of Mortality Score predicts 30-day readmission after coronary artery bypass grafting.

Authors:  Joshua M Rosenblum; Brendan P Lovasik; John C Hunting; Jose Binongo; Michael E Halkos; Bradley G Leshnower; Jeffrey S Miller; Omar M Lattouf; Robert A Guyton; William B Keeling
Journal:  Gen Thorac Cardiovasc Surg       Date:  2019-02-08

3.  The impact of frailty on mortality after transcatheter aortic valve replacement.

Authors:  Charat Thongprayoon; Wisit Cheungpasitporn; Kianoush Kashani
Journal:  Ann Transl Med       Date:  2017-03

Review 4.  Frailty in Pulmonary and Critical Care Medicine.

Authors:  Jonathan P Singer; David J Lederer; Matthew R Baldwin
Journal:  Ann Am Thorac Soc       Date:  2016-08

5.  Postoperative Outcome of High-Risk Octogenarians Undergoing Cardiac Surgery: A Multicenter Observational Retrospective Study.

Authors:  Michal Porizka; Jan Kunstyr; Tomas Vanek; Michal Nejedly; Jana Buckova; Jiri Mokrejs; Frantisek Mosna
Journal:  Ann Thorac Cardiovasc Surg       Date:  2017-05-24       Impact factor: 1.520

6.  Functional Outcomes of Frail Patients After Cardiac Surgery: An Observational Study.

Authors:  Mitsunori Nakano; Yohei Nomura; Giancarlo Suffredini; Brian Bush; Jing Tian; Atsushi Yamaguchi; Jeremy Walston; Rani Hasan; Kaushik Mandal; Stefano Schena; Charles W Hogue; Charles H Brown
Journal:  Anesth Analg       Date:  2020-06       Impact factor: 5.108

7.  Screening for Frailty in Thoracic Surgical Patients.

Authors:  Angela K Beckert; Megan Huisingh-Scheetz; Katherine Thompson; Amy D Celauro; Jordan Williams; Paul Pachwicewicz; Mark K Ferguson
Journal:  Ann Thorac Surg       Date:  2016-10-06       Impact factor: 4.330

8.  Significance of frailty for predicting adverse clinical outcomes in different patient groups with specific medical conditions.

Authors:  Martin Ritt; Karl-Günter Gaßmann; Cornel Christian Sieber
Journal:  Z Gerontol Geriatr       Date:  2016-09-14       Impact factor: 1.281

9.  A Comparison of Three Frailty Indices in Predicting Morbidity and Mortality After On-Pump Aortic Valve Replacement.

Authors:  Gary Esses; Evie Andreopoulos; Hung-Mo Lin; Shipra Arya; Stacie Deiner
Journal:  Anesth Analg       Date:  2018-01       Impact factor: 5.108

Review 10.  Risk assessment methods for cardiac surgery and intervention.

Authors:  Nassir M Thalji; Rakesh M Suri; Kevin L Greason; Hartzell V Schaff
Journal:  Nat Rev Cardiol       Date:  2014-09-23       Impact factor: 32.419

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