A cross-sectional study of quality of life in an elderly population (75 years and over) with atrial fibrillation: Secondary analysis of data from the Birmingham Atrial Fibrillation Treatment of the Aged study

Europace

Volumn 14, Issue 10, 2012, Pages 1420-1427

  Roalfe, Andrea K ^a   Bryant, Toni L ^a   Davies, Matthew H ^a   Hackett, Thomas G ^a   Saba, Samiramis ^a   Fletcher, Kate ^a   Lip, Gregory Y H ^a   Hobbs, F D Richard ^b   Mant, Jonathan ^c  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Aged; Atrial fibrillation; Quality of life; stroke

Indexed keywords

WARFARIN;

AGED; ANGINA PECTORIS; ARTICLE; CEREBROVASCULAR ACCIDENT; COMORBIDITY; CROSS-SECTIONAL STUDY; DIABETES MELLITUS; DISEASE ASSOCIATION; EFFECT SIZE; ELDERLY CARE; ELECTROCARDIOGRAPHY; FEMALE; HEART ATRIUM FIBRILLATION; HEART FAILURE; HEART INFARCTION; HUMAN; HYPERTENSION; MAJOR CLINICAL STUDY; MALE; MEDICAL HISTORY; MENTAL COMPONENT SCORE; OUTCOME ASSESSMENT; PHYSICAL COMPONENT SCORE; PHYSICAL DISABILITY; PRIMARY MEDICAL CARE; PRIORITY JOURNAL; QUALITY OF LIFE; RANKIN SCALE; SCORING SYSTEM; SENSITIVITY ANALYSIS; SHORT FORM 12; TRANSIENT ISCHEMIC ATTACK;

AGED; AGED, 80 AND OVER; ANTI-ARRHYTHMIA AGENTS; ATRIAL FIBRILLATION; COMORBIDITY; CROSS-SECTIONAL STUDIES; FEMALE; GREAT BRITAIN; HEALTH STATUS; HUMANS; MALE; POLYPHARMACY; QUALITY OF LIFE; QUESTIONNAIRES; RANDOMIZED CONTROLLED TRIALS AS TOPIC; SEVERITY OF ILLNESS INDEX; SEX FACTORS; STROKE; TREATMENT OUTCOME;

EID: 84866951170     PISSN: 10995129     EISSN: 15322092     Source Type: Journal    
DOI: 10.1093/europace/eus102     Document Type: Article

References (32)

1. Freestone B, Lip GYH. Epidemiology and Costs of Cardiac Arrhythmias: A Clinical Approach. 2nd ed. Edinburgh: Mosby; 2003.
2. Feinberg WM, Blackshear JL, Laupacis A, Kronmal R, Hart RG. Prevalence, age distribution, and gender of patients with atrial fibrillation. Arch Intern Med 1995;155: 469-73.
3. Mant J, Wade DT, Winner S. Health Care Needs Assessment: the Apidemiologically Based Needs Assessment Reviews. 2nd ed. Oxford: Radcliffe Medical Press; 2004.
4. Benjamin EJ, Wolf PA, D'Agostino RB, Silbershatz H, Kannel WB, Levy D. Impact of atrial fibrillation on the risk of death: the Framingham Heart Study. Circulation 1998;10:946-52.
5. Wolf P, Abbott R, Kannel W. Atrial fibrillation as an independent risk factor for stroke: The Framingham Study. Stroke 1991;22:983-8.
6. Levy S, Maarek M, Coumel P, Guize L, Lekieffre J, Medvedowsky JL, Sebaoun A. Characterisation of different subsets of atrial fibrillation in general practice in France: the ALFA study. Circulation 1999;99:3028-35.
7. National Collaborating Centre for Chronic Conditions. Atrial Fibrillation: National Clinical Guideline for Management in Primary and Secondary Care. London: Royal College of Physicians; 2006.
8. Callans D. Asymptomatic atrial fibrillation in symptomatic patients. J Cardiovasc Electrophysiol 2004;15:925-6.
9. Luderitz B, JungW. Quality of life in patients with atrial fibrillation. Arch Intern Med 2000;160:1749-57.
10. Thrall G, Lane D, Carroll D, Lip GYH. Quality of life in patients with atrial fibrillation: a systematic review. Am JMed 2006;119:448-9.
11. Howes CJ, Reid MC, Brandt C, Ruo B, Yerkey MW, Prasad B, et al. Exercise tolerance and quality of life in elderly patients with chronic atrial fibrillation. J Cardiovasc Pharmacol 2001;6:23-9.
12. Reynolds MR, Lavelle T, Essebag V, Cohen DJ, Zimetbaum P. Influence of age, sex, and atrial fibrillation recurrence on quality of life outcomes in a population of patients with new-onset atrial fibrillation: the Fibrillation Registry Assessing Costs, Therapies, Adverse events and Lifestyle (FRACTAL) study. Am Heart J 2006;152:1097-103.
13. Dagres N, Nieuwlaat R, Vardas PE, Andresen D, Levy S, Cobbe S, et al. Gender related differences in presentation, treatment and outcome of patients with atrial fibrillation in Europe. J Am Coll Cardiol 2007;49:572-7.
14. The AFFIRM Investigators. Quality of life in atrial fibrillation: the Atrial Fibrillation follow-up Investigation of Rhythm Management (AFFIRM) study. Am Heart J 2005; 149:112-20.
15. Mant J, Richards S, Hobbs FDR, Fitzmaurice D, Lip GY, Murray E, et al. Protocol for Birmingham Atrial Fibrillation Treatment of the Aged study (BAFTA): a randomised controlled trial of warfarin versus aspirin for stroke prevention in the management of atrial fibrillation in an elderly primary care population. BMC Cardiovasc Disord 2003;3:9.
16. Mant J, Hobbs FDR, Fletcher K, Roalfe A, Fitzmaurice D, Lip GY, et al. Warfarin versus aspirin for stroke prevention in an elderly community population with atrial fibrillation (the Birmingham Atrial Fibrillation Treatment of the Aged Study, BAFTA): a randomised controlled trial. Lancet 2007;370:493-503.
17. Rabin R, de Charro F. EQ-5D: A measure of health status from the EuroQol Group. Ann Med 2001;3:337-43.
18. Ware J, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: Construction of scales and preliminary tests of reliability and validity. Med Care 1996;34: 220-33.
19. The EuroQol Group. EQ-5D User Guide. Rotterdam, Netherlands: The EuroQol Group; 1996.
20. Mant J, Jenkinson C, Murphy M, Clipsham K, Marshall P, Vessey MP. Use of the Short Form-36 to detect influence of upper gastro-intestinal disease on selfreported health status. Qual Life Res 1998;7:221-6.
21. Gage BF, Waterman AD, Shannon W, Boechler M, Rich MW, Radford MJ. Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation. JAMA 2001;285:2864-70.
22. Prior G, Prescott-Clarke P, Primatesta P. Self Reported Health: Health Survey for England 1996. Vol. 1. London: The Stationary Office; 1996.
23. Kind P, Hardman G, Macran S. UK Population Norms for EQ-5D, Centre for Health Economics, The University of York. Discussion paper 172. 1999.
24. Pettit T, Livingston G, Manela M, Kitchen G, Katona C, Bowling A. Validation and normative data of health status measures in older people: the Islington study. Int J Geriatric Psychiatry 2001;16:1061-70.
25. Perneger T, Burnand B. A simple imputation algorithm reduced missing data in SF-12 health surveys. J Clin Epidemiol 2005;58:142-9.
26. Efron B, Tibshirani RJ. An Introduction to the Bootstrap. New York: Chapman and Hall; 1993.
27. Walters SJ, Brazier JE. Comparison of minimally important difference for two health state utility measures:EQ-5D and SF-6D. Qual Life Res 2005;14: 1523-32.
28. Pickard AS, Neary MP, Cella D. Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer. Health Qual Life Outcomes 2007;5:70 doi:.
29. Lim LLY, Fisher JD. Use of the 12-item Short-Form (SF-12) Health Survey in an Australian heart and stroke population. Qual Life Res 1999;8:1-8.
30. McDougall F, Brayne C. Systematic review of the depressive symptoms associated with vascular conditions. J Affect Disord 2007;104:25-35.
31. Lip GYH, Golding DJ, Nazir M, Beevers DG, Child DL, Fletcher RI. A survey of atrial fibrillation in general practice: the West Birmingham Atrial Fibrillation Project. Br J General Practice 1997;47:285-9.
32. Shenker N. Qualms about bootstrap confidence intervals. J Am Statist Assoc 1985; 80:360-1.