Literature DB >> 32164580

Frailty assessment and risk prediction by GRACE score in older patients with acute myocardial infarction.

Atul Anand1,2, Sarah Cudmore3, Shirley Robertson3, Jacqueline Stephen4, Kristin Haga3, Christopher J Weir4, Scott A Murray5, Kirsty Boyd5, Julian Gunn6, Javaid Iqbal6, Alasdair MacLullich7, Susan D Shenkin7, Keith A A Fox8, Nicholas Mills8, Martin A Denvir8.   

Abstract

BACKGROUND: Risk prediction after myocardial infarction is often complex in older patients. The Global Registry of Acute Coronary Events (GRACE) model includes clinical parameters and age, but not frailty. We hypothesised that frailty would enhance the prognostic properties of GRACE.
METHODS: We performed a prospective observational cohort study in two independent cardiology units: the Royal Infirmary of Edinburgh, UK (primary cohort) and the South Yorkshire Cardiothoracic Centre, Sheffield, UK (external validation). The study sample included 198 patients ≥65 years old hospitalised with type 1 myocardial infarction (primary cohort) and 96 patients ≥65 years old undergoing cardiac catheterisation for myocardial infarction (external validation). Frailty was assessed using the Clinical Frailty Scale (CFS). The GRACE 2.0 estimated risk of 12-month mortality, Charlson comorbidity index and Karnofsky disability scale were also determined for each patient.
RESULTS: Forty (20%) patients were frail (CFS ≥5). These individuals had greater comorbidity, functional impairment and a higher risk of death at 12 months (49% vs. 9% in non-frail patients, p < 0.001). The hazard of 12-month all-cause mortality nearly doubled per point increase in CFS after adjustment for age, sex and comorbidity (Hazard Ratio [HR] 1.90, 95% CI 1.47-2.44, p < 0.001). The CFS had good discrimination for mortality by Receiver Operating Characteristic (ROC) curve analysis (Area Under the Curve [AUC] 0.81, 95% CI 0.72-0.89) and enhanced the GRACE estimate (AUC 0.86 vs. 0.80 without CFS, p = 0.04). At existing GRACE thresholds, the CFS resulted in a Net Reclassification Improvement (NRI) of 0.44 (95% CI 0.28-0.60, p < 0.001), largely through reductions in risk estimates amongst non-frail patients. Similar findings were observed in the external validation cohort (NRI 0.46, 95% CI 0.23-0.69, p < 0.001).
CONCLUSIONS: The GRACE score overestimated mortality risk after myocardial infarction in these cohorts of older patients. The CFS is a simple guided frailty tool that may enhance prediction in this setting. These findings merit evaluation in larger cohorts of unselected patients. TRIAL REGISTRATION: Clinicaltrials.gov; NCT02302014 (November 26th 2014, retrospectively registered).

Entities:  

Keywords:  Acute coronary syndrome; Frailty; Myocardial infarction; Risk prediction

Year:  2020        PMID: 32164580     DOI: 10.1186/s12877-020-1500-9

Source DB:  PubMed          Journal:  BMC Geriatr        ISSN: 1471-2318            Impact factor:   3.921


  7 in total

1.  Five-year clinical outcomes in patients with frailty aged ≥75 years with non-ST elevation acute coronary syndrome undergoing invasive management.

Authors:  Hanna Ratcovich; Benjamin Beska; Greg Mills; Lene Holmvang; Jennifer Adams-Hall; Hannah Stevenson; Murugapathy Veerasamy; Chris Wilkinson; Vijay Kunadian
Journal:  Eur Heart J Open       Date:  2022-05-16

2.  Performance of the APOP-screener for predicting in-hospital mortality in older COVID-19 patients: a retrospective study.

Authors:  Marleen G A M van der Velde; Merel J van der Aa; Merel H C van Daal; Marjolein N T Kremers; Carolina J P W Keijsers; Sander M J van Kuijk; Harm R Haak
Journal:  BMC Geriatr       Date:  2022-07-15       Impact factor: 4.070

3.  Frailty as a Predictor of In-Hospital Outcome in Patients with Myocardial Infarction.

Authors:  Michał Węgiel; Paweł Kleczyński; Artur Dziewierz; Łukasz Rzeszutko; Andrzej Surdacki; Stanisław Bartuś; Tomasz Rakowski
Journal:  J Cardiovasc Dev Dis       Date:  2022-05-05

4.  Clinical Frailty Scale classes are independently associated with 6-month mortality for patients after acute myocardial infarction.

Authors:  Niklas Ekerstad; Dariush Javadzadeh; Karen P Alexander; Olle Bergström; Lars Eurenius; Mats Fredrikson; Gudny Gudnadottir; Claes Held; Karin Hellström Ängerud; Radwan Jahjah; Tomas Jernberg; Ewa Mattsson; Kjell Melander; Linda Mellbin; Monica Ohlsson; Annica Ravn-Fischer; Lars Svennberg; Troels Yndigegn; Joakim Alfredsson
Journal:  Eur Heart J Acute Cardiovasc Care       Date:  2022-02-08

5.  External validation of the GRACE risk score and the risk-treatment paradox in patients with acute coronary syndrome.

Authors:  Niels M R van der Sangen; Jaouad Azzahhafi; Dean R P P Chan Pin Yin; Joyce Peper; Senna Rayhi; Ronald J Walhout; Melvyn Tjon Joe Gin; Deborah M Nicastia; Jorina Langerveld; Georgios J Vlachojannis; Rutger J van Bommel; Yolande Appelman; José P S Henriques; Jurriën M Ten Berg; Wouter J Kikkert
Journal:  Open Heart       Date:  2022-03

6.  Incorporating Frailty Into the Pooled Cohort Equations to Predict Cardiovascular Disease Among Persons With HIV.

Authors:  Sean G Kelly; Kunling Wu; Katherine Tassiopoulos; Kristine M Erlandson; Susan L Koletar; Frank J Palella
Journal:  J Acquir Immune Defic Syndr       Date:  2021-07-01       Impact factor: 3.771

7.  Barthel Index as a Predictor of Mortality in Patients with Acute Coronary Syndrome: Better Activities of Daily Living, Better Prognosis.

Authors:  Fanghui Li; Dongze Li; Jing Yu; Yu Jia; Ying Jiang; Tengda Chen; Yongli Gao; Zhi Wan; Yu Cao; Zhi Zeng; Rui Zeng
Journal:  Clin Interv Aging       Date:  2020-10-13       Impact factor: 4.458

  7 in total

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