Association of psychosocial factors with all-cause hospitalizations in patients with atrial fibrillation

Pascal B Meyre, Anne Springer, Stefanie Aeschbacher, Steffen Blum, Nicolas Rodondi, Juerg H Beer, Marcello Di Valentino, Peter Ammann, Manuel Blum, Rebecca Mathys, Christine Meyer-Zürn, Leo H Bonati, Christian Sticherling, Matthias Schwenkglenks, Michael Kühne, David Conen, Stefan Osswald, Swiss-AF investigators, Pascal B Meyre, Anne Springer, Stefanie Aeschbacher, Steffen Blum, Nicolas Rodondi, Juerg H Beer, Marcello Di Valentino, Peter Ammann, Manuel Blum, Rebecca Mathys, Christine Meyer-Zürn, Leo H Bonati, Christian Sticherling, Matthias Schwenkglenks, Michael Kühne, David Conen, Stefan Osswald, Swiss-AF investigators

Abstract

Background: A high burden of cardiovascular comorbidities puts patients with atrial fibrillation (AF) at high risk for hospitalizations, but the role of other factors is less clear.

Hypothesis: To determine the relationship between psychosocial factors and the risk of unplanned hospitalizations in AF patients.

Methods: Prospective observational cohort study of 2378 patients aged 65 or older with previously diagnosed AF across 14 centers in Switzerland. Marital status and education level were defined as social factors, depression and health perception were psychological components. The pre-defined outcome was unplanned all-cause hospitalization.

Results: During a median follow-up of 2.0 years, a total of 1713 hospitalizations occurred in 37% of patients. Compared to patients who were married, adjusted rate ratios (aRR) for all-cause hospitalizations were 1.28 (95% confidence interval [CI], 0.97-1.69) for singles, 1.31 (95%CI, 1.06-1.62) for divorced patients, and 1.02 (95%CI, 0.82-1.25) for widowed patients. The aRRs for all-cause hospitalizations across increasing quartiles of health perception were 1.0 (highest health perception), 1.15 (95%CI, 0.84-1.59), 1.25 (95%CI, 1.03-1.53), and 1.66 (95%CI, 1.34-2.07). No different hospitalization rates were observed in patients with a secondary or primary or less education as compared to patients with a college degree (aRR, 1.06; 95%CI, 0.91-1.23 and 1.05; 95%CI, 0.83-1.33, respectively). Presence of depression was not associated with higher hospitalization rates (aRR, 0.94; 95%CI, 0.68-1.29).

Conclusions: The findings suggest that psychosocial factors, including marital status and health perception, are strongly associated with the occurrence of hospitalizations in AF patients. Targeted psychosocial support interventions may help to avoid unnecessary hospitalizations.

Trial registration: ClinicalTrials.gov Identifier NCT02105844.

Keywords: atrial fibrillation; health perception; psychosocial factors; unplanned hospitalization.

Conflict of interest statement

Dr Bonati reports personal fees and nonfinancial support from Amgen, grants from AstraZeneca, personal fees and nonfinancial support from Bayer, personal fees from Bristol‐Myers Squibb, personal fees from Claret Medical, grants from Swiss National Science Foundation, grants from University of Basel, grants from Swiss Heart Foundation, outside the submitted work. Dr Sticherling has received speaker honoraria from Biosense Webster and Medtronic and research grants from Biosense Webster, Daiichi‐Sankyo, and Medtronic. Dr Schwenkglenks reports grants from Swiss National Science Foundation, during the conduct of the study; grants and personal fees from Amgen, grants from MSD, grants from Novartis, grants from Pfizer, grants from The Medicines Company, outside the submitted work. Dr Kühne reports personal fees from Bayer, grants from Bayer, personal fees from Pfizer‐BMS, personal fees from Daiichi‐Sankyo, personal fees from Böhringer‐Ingelheim, outside the submitted work. Dr Conen received consulting fees from Servier, Canada, outside of the current work. The remaining authors have nothing to disclose.

© 2020 The Authors. Clinical Cardiology published by Wiley Periodicals LLC.

Figures

FIGURE 1
FIGURE 1
Cumulative Incidence of All‐Cause Hospitalization According to Psychosocial Factors. Cumulative incidence of all‐cause hospitalization according to marital status, A, education level, B, presence of depression, C, and quartiles of health perception, D. For health perception, the 1. quartile indicates health perception between 100 to 86; 2. quartile between 85 to 81; 3. quartile between 80 to 61; 4. quartile below 61

References

    1. Krijthe BP, Kunst A, Benjamin EJ, et al. Projections on the number of individuals with atrial fibrillation in the European Union, from 2000 to 2060. Eur Heart J. 2013;34(35):2746‐2751.
    1. Andersson T, Magnuson A, Bryngelsson IL, et al. All‐cause mortality in 272,186 patients hospitalized with incident atrial fibrillation 1995‐2008: a Swedish nationwide long‐term case‐control study. Eur Heart J. 2013;34(14):1061‐1067.
    1. Wolf PA, Abbott RD, Kannel WB. Atrial fibrillation as an independent risk factor for stroke: the Framingham study. Stroke. 1991;22(8):983‐988.
    1. Conen D, Chae CU, Glynn RJ, et al. Risk of death and cardiovascular events in initially healthy women with new‐onset atrial fibrillation. Jama. 2011;305(20):2080‐2087.
    1. Meyre P, Blum S, Berger S, et al. Risk of hospital admissions in patients with atrial fibrillation: a systematic review and meta‐analysis. Can J Cardiol. 2019;35(10):1332‐1343.
    1. Braveman P, Gottlieb L. The social determinants of health: it's time to consider the causes of the causes. Public Health Rep. 2014;129(Suppl 2):19‐31.
    1. Chang SC, Glymour M, Cornelis M, et al. Social integration and reduced risk of coronary heart disease in women: the role of lifestyle behaviors. Circ Res. 2017;120(12):1927‐1937.
    1. Pan A, Sun Q, Okereke OI, Rexrode KM, Hu FB. Depression and risk of stroke morbidity and mortality: a meta‐analysis and systematic review. Jama. 2011;306(11):1241‐1249.
    1. Muennig P, Fiscella K, Tancredi D, Franks P. The relative health burden of selected social and behavioral risk factors in the United States: implications for policy. Am J Public Health. 2010;100(9):1758‐1764.
    1. Stringhini S, Carmeli C, Jokela M, et al. Socioeconomic status and the 25 x 25 risk factors as determinants of premature mortality: a multicohort study and meta‐analysis of 1.7 million men and women. Lancet. 2017;389(10075):1229‐1237.
    1. Misialek JR, Rose KM, Everson‐Rose SA, et al. Socioeconomic status and the incidence of atrial fibrillation in whites and blacks: the atherosclerosis risk in communities (ARIC) study. J Am Heart Assoc. 2014;3(4):e001159.
    1. Westcott SK, Beach LY, Matsushita F, et al. Relationship between psychosocial stressors and atrial fibrillation in women >45 years of age. Am J Cardiol. 2018;122(10):1684‐1687.
    1. Rod NH, Andersen I, Prescott E. Psychosocial risk factors and heart failure hospitalization: a prospective cohort study. Am J Epidemiol. 2011;174(6):672‐680.
    1. Wandell P, Carlsson AC, Gasevic D, et al. Socioeconomic factors and mortality in patients with atrial fibrillation‐a cohort study in Swedish primary care. Eur J Public Health. 2018;28(6):1103‐1109.
    1. Conen D, Rodondi N, Mueller A, et al. Design of the Swiss Atrial Fibrillation Cohort Study (Swiss‐AF): structural brain damage and cognitive decline among patients with atrial fibrillation. Swiss Med Wkly. 2017;w14467:147.
    1. Conen D, Rodondi N, Muller A, et al. Relationships of overt and silent brain lesions with cognitive function in patients with atrial fibrillation. J American College Cardiol. 2019;73(9):989‐999.
    1. Sheikh JI, Yesavage JA, Brooks JO 3rd, et al. Proposed factor structure of the geriatric depression scale. Int Psychogeriatr. 1991;3(1):23‐28.
    1. Laudisio A, Antonelli Incalzi R, Gemma A, et al. Definition of a geriatric depression scale cutoff based upon quality of life: a population‐based study. Int J Geriatr Psychiatry. 2018;33(1):e58‐e64.
    1. Rabin R, de Charro F. EQ‐5D: a measure of health status from the EuroQol group. Ann Med. 2001;33(5):337‐343.
    1. Steg PG, Alam S, Chiang CE, et al. Symptoms, functional status and quality of life in patients with controlled and uncontrolled atrial fibrillation: data from the RealiseAF cross‐sectional international registry. Heart (British Cardiac Society). 2012;98(3):195‐201.
    1. Meyre P, Aeschbacher S, Blum S, et al. The admit‐AF risk score: a clinical risk score for predicting hospital admissions in patients with atrial fibrillation. European J Preventive Cardiol. 2020;2047487320915350 10.1177/2047487320915350
    1. Seymour CW, Iwashyna TJ, Cooke CR, Hough CL, Martin GS. Marital status and the epidemiology and outcomes of sepsis. Chest. 2010;137(6):1289‐1296.
    1. Butler JR, Morgan M. Marital status and hospital use. Br J Prev Soc Med. 1977;31(3):192‐198.
    1. Segrin C, Passalacqua SA. Functions of loneliness, social support, health behaviors, and stress in association with poor health. Health Commun. 2010;25(4):312‐322.
    1. Pimouguet C, Rizzuto D, Lagergren M, Fratiglioni L, Xu W. Living alone and unplanned hospitalizations among older adults: a population‐based longitudinal study. Eur J Public Health. 2017;27(2):251‐256.
    1. Havranek EP, Lapuerta P, Simon TA, L'Italien G, Block AJ, Rouleau JL. A health perception score predicts cardiac events in patients with heart failure: results from the IMPRESS trial. J Card Fail. 2001;7(2):153‐157.
    1. Masterson Creber R, Allison PD, Riegel B. Overall perceived health predicts risk of hospitalizations and death in adults with heart failure: a prospective longitudinal study. Int J Nurs Stud. 2013;50(5):671‐677.
    1. Sarkar U, Ali S, Whooley MA. Self‐efficacy as a marker of cardiac function and predictor of heart failure hospitalization and mortality in patients with stable coronary heart disease: findings from the heart and soul study. Health Psychol. 2009;28(2):166‐173.
    1. Blum S, Muff C, Aeschbacher S, et al. Prospective assessment of sex‐related differences in symptom status and health perception among patients with atrial fibrillation. J Am Heart Assoc. 2017;6(7):e005401.

Source: PubMed

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