Literature DB >> 25344486

Atrial fibrillation in Indigenous and non-Indigenous Australians: a cross-sectional study.

Christopher X Wong1, Anthony G Brooks1, Yi-Han Cheng1, Dennis H Lau1, Geetanjali Rangnekar1, Kurt C Roberts-Thomson1, Jonathan M Kalman2,3, Alex Brown4, Prashanthan Sanders1.   

Abstract

OBJECTIVE: To examine the prevalence of atrial fibrillation (AF) and cardiac structural characteristics in Indigenous and non-Indigenous Australians.
DESIGN: Retrospective cross-sectional study linking clinical, echocardiography and administrative databases over a 10-year period.
SETTING: A tertiary, university teaching hospital in Adelaide, Australia. PARTICIPANTS: Indigenous and non-Indigenous Australians. MAIN OUTCOME MEASURES: AF prevalence and echocardiographic characteristics.
RESULTS: Indigenous Australians with AF were significantly younger compared to non-Indigenous Australians (55±13 vs 75±13 years, p<0.001). As a result, racial differences in AF prevalence and left atrial diameter varied according to age. In those under 60 years of age, Indigenous Australians had a significantly greater AF prevalence (2.57 vs1.73%, p<0.001) and left atrial diameters (39±7 vs 37±7 mm, p<0.001) compared to non-Indigenous Australians. In those aged 60 years and above, however, non-Indigenous Australians had significantly greater AF prevalence (9.26 vs 4.61%, p<0.001) and left atrial diameters (39±7 vs 37±7 mm, p<0.001). Left ventricular ejection fractions were less in Indigenous Australians under 60 years of age (49±14 vs 55±11%, p<0.001) and not statistically different in those aged 60 years and above (47±11 vs 52±13, p=0.074) compared to non-Indigenous Australians. Despite their younger age, Indigenous Australians with AF had similar or greater rates of cardiovascular comorbidities than non-Indigenous Australians with AF.
CONCLUSIONS: Young Indigenous Australians have a significantly greater prevalence of AF than their non-Indigenous counterparts. In contrast, older non-Indigenous Australians have a greater prevalence of AF compared to their Indigenous counterparts. These observations may be mediated by age-based differences in comorbid cardiovascular conditions, left atrial diameter and left ventricular ejection fraction. Our findings suggest that AF is likely to be contributing to the greater burden of morbidity and mortality experienced by young Indigenous Australians. Further study is required to elucidate whether strategies to prevent and better manage AF in Indigenous Australians may reduce this burden. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Mesh:

Year:  2014        PMID: 25344486      PMCID: PMC4212186          DOI: 10.1136/bmjopen-2014-006242

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This study describes the prevalence of atrial fibrillation (AF) in Indigenous Australians which has not been previously characterised. We found that young Indigenous Australians have a significantly greater prevalence of AF compared to their non-Indigenous counterparts. In contrast, AF was more prevalent in elderly non-Indigenous Australians compared to Indigenous Australians. Age-based differences in comorbid cardiovascular conditions, left atrial dilatation and left ventricular dysfunction may in-part explain our observations. Limitations of this study include the potential for asymptomatic AF to not be detected, potential incomplete identification of Indigenous Australian race and the mainly hospital and urban-based participants.

Introduction

Atrial fibrillation (AF) is the most common clinical arrhythmia and has a rising prevalence.1–7 As a result, recent data suggest that the burden of AF may already exceed that of other common cardiovascular conditions.6 Despite the frequency of cardiovascular disease in Indigenous Australians, AF is a condition that remains to be characterised in this population. Given the emerging evidence from other countries suggesting that AF may vary according to race,2 8–12 we sought to characterise the prevalence of AF in Indigenous and non-Indigenous Australians. Given the strong relationship between cardiac structure and AF, in particular left atrial diameter, we also examined for racial differences in echocardiographic characteristics.

Methods

Study population

The Royal Adelaide Hospital is a large tertiary referral centre and teaching hospital of the Universities of Adelaide and South Australia. We identified all Indigenous and non-Indigenous individuals admitted over a 10-year period from 2000 through 2009 inclusive from the coding database.

Data collection

The International Classification of Diseases, 10th Rev, Australian Modification (ICD-10-AM) was used for coding hospital diagnoses. AF was defined for patients with ICD-10-AM diagnosis code I48 that include AF and atrial flutter. Hypertension was defined for patients with ICD-10-AM diagnosis codes I10-I15. Ischaemic heart disease was defined for patients with ICD-10-AM diagnosis codes I20-I25. Heart failure was defined for patients with ICD-10-AM diagnosis code I50. Conditions were deemed to be present if they were coded as being either a principal or secondary diagnosis during any hospitalisation. In addition, it was noted whether these conditions were pre-existing at first clinical contact, or whether they were new diagnoses performed during study period at subsequent hospitalisations.

Echocardiographic study

A subset of individuals underwent resting transthoracic two-dimensional guided M-mode Doppler echocardiograms undertaken with standard techniques in the left lateral decubitus position. Patients with AF were excluded from this analysis. Standard M-mode left atrial linear dimensions were obtained from the parasternal long-axis view in end systole.13 Measurements of left ventricular end-diastolic diameter, left ventricular end-systolic diameter and left ventricular ejection fraction were additionally determined in accordance with the American Society of Echocardiography guidelines.13 Left ventricular ejection fraction was calculated using Biplane Simpson's rule.

Statistical analysis

Continuous variables are reported as mean±SD as appropriate. Study sample characteristics were compared using an independent samples t test or χ2 test as appropriate. Binary logistic regression analyses were employed to determine associations with prevalent AF. Binary linear regression analyses were employed to determine associations with echocardiographic characteristics. Statistical tests were performed using SAS V.9.2 (SAS Institute Inc, Cary, North Carolina, USA) and p<0.05 was considered significant.

Results

Patient characteristics

A total of 629 024 hospitalisations for 204 668 individuals were identified (table 1). Of these, 22 821 (3.6%) and 606 203 (96.4%) hospitalisations were for Indigenous and non-Indigenous Australians, respectively. Compared to non-Indigenous Australians, Indigenous Australians were more likely to be younger and woman. While pre-existing hypertension, new hypertension, new ischaemic heart disease and new congestive heart failure were more prevalent in non-Indigenous Australians, pre-existing ischaemic heart disease was more prevalent in Indigenous Australians. There were no significant racial differences in the prevalence of pre-existing congestive heart failure.
Table 1

Patient characteristics

All Indigenous Australians (n=5892)All non- Indigenous Australians (n=198 776)p ValueIndigenous Australians with AF (n=221)Non-Indigenous Australians with AF (n=14 152)p Value
Age, year (SD)42.2 (16.2)54.0 (20.9)<0.00155.4 (13.2)74.5 (13.1)<0.001
Male, % (n)51.7 (3049)53.8 (106 992)0.00252.5 (116)54.1 (7662)0.63
Pre-existing hypertension, % (n)15.0 (886)47.9 (24 478)<0.00132.6 (72)32.1 (4539)0.87
New hypertension, % (n)4.3 (252)19.8 (10 103)<0.00116.3 (36)16.5 (2329)0.95
Pre-existing ischaemic heart disease, % (n)13.3 (783)9.6 (19 071)<0.00136.2 (80)26.3 (3715)<0.001
New ischaemic heart disease, % (n)2.6 (153)3.1 (6096)0.0413.1 (29)12.6 (1777)0.80
Pre-existing congestive heart failure, % (n)3.3 (193)3.3 (6504)0.9917.2 (38)17.7 (2504)0.85
New congestive heart failure, % (n)1.7 (101)2.5 (4936)<0.00116.7 (37)15.2 (2149)0.52

AF, atrial fibrillation; n, number; SD, standard deviation.

Patient characteristics AF, atrial fibrillation; n, number; SD, standard deviation.

Race and AF

A total of 14373 individuals had a diagnosis of AF.. Overall, Indigenous Australian AF patients were younger than non-Indigenous Australian AF patients (55±13 vs 75±13, p<0.0001). As a result, the prevalence of AF in Indigenous and non-Indigenous Australians differed according to age. In those under 60 years of age, the prevalence of AF was greater in Indigenous Australians (2.57 vs 1.73%, p<0.0001; see figure 1). In contrast, in those aged 60 years and above, the prevalence of AF was greater in non-Indigenous Australians (9.26 vs 4.61%, p<0.0001).
Figure 1

Graph showing the race-specific prevalence of atrial fibrillation in Indigenous and non-Indigenous Australians according to age group.

Graph showing the race-specific prevalence of atrial fibrillation in Indigenous and non-Indigenous Australians according to age group. Despite their younger age, Indigenous Australian AF patients had a similar or greater prevalence of cardiovascular comorbidities than their non-Indigenous counterparts (table 1). As a result, controlling for these comorbidities in multivariable analyses attenuated the relationship between Indigenous Australian status and prevalent AF (table 2).
Table 2

Multivariable-adjusted associations with prevalent atrial fibrillation

Univariate OR (CI)p ValueMultivariate OR (CI)p Value
Indigenous Australian1.471 (1.233 to 1.755)<0.0011.183 (0.977 to 1.432)0.085
Age1.086 (1.082 to 1.091)<0.0011.069 (1.064 to 1.074)<0.001
Male1.992 (1.817 to 2.185)<0.0011.798 (1.633 to 1.979)<0.001
Hypertension6.138 (5.603 to 6.723)<0.0012.109 (1.892 to 2.352)<0.001
Ischaemic heart disease6.341 (5.761 to 6.979)<0.0011.556 (1.383 to 1.750)<0.001
Congestive heart failure21.562 (19.146 to 24.283)<0.0018.812 (7.72 to 10.059)<0.001
Multivariable-adjusted associations with prevalent atrial fibrillation

Echocardiography characteristics

A total of 4477 echocardiograms were analysed. The mean left atrial diameter was 38±7 mm and mean left ventricular ejection fraction 53±12%. Echocardiographic characteristics also exhibited racial variation according to age. In those under 60 years of age, Indigenous Australians had a greater mean left atrial diameter (39±7 vs 37±7 mm, p<0.001). In those aged 60 years and above, non-Indigenous Australians had a greater mean left atrial diameter (39±7 vs 37±7 mm, p<0.001). Left ventricular ejection fractions were lesser in Indigenous Australians under 60 years of age (49±14 vs 55±11%, p<0.001) though not in those aged 60 years and above (47±11 vs 52±13, p=0.074). In multivariable-adjusted regression models, Indigenous Australian status remained significantly associated with greater left atrial diameter and lower left ventricular ejection fraction (tables 3 and 4).
Table 3

Multivariable-adjusted associations with left atrial diameter

Univariate regressions (CI)p ValueMultivariate regressions (CI)p Value
Indigenous Australian0.255 (0.143 to 0.367)<0.0010.261 (0.096 to 0.426)0.002
Age0.016 (0.013 to 0.018)<0.0010.012 (0.008 to 0.016)<0.001
Male0.299 (0.234 to 0.365)<0.0010.344 (0.249 to 0.439)<0.001
Hypertension0.249 (0.169 to 0.329)<0.0010.135 (0.011 to 0.259)<0.001
Ischaemic heart disease0.301 (0.224 to 0.379)<0.0010.043 (−0.071 to 0.156)0.46
Congestive heart failure0.653 (0.530 to 0.775)<0.0010.417 (0.232 to 0.602)<0.001
LV ejection fraction−0.022 (−0.026 to −0.018)<0.001−0.012 (−0.017 to −0.008)<0.001

LV, left ventricular.

Table 4

Multivariable-adjusted associations with left ventricular ejection fraction

Univariatep ValueMultivariatep Value
Indigenous Australian−5.915 (−8.908 to −2.923)<0.001−5.050 (−7.621 to −2.479)<0.001
Age−0.101 (−0.164 to −0.038)0.002−0.049 (−0.105 to 0.008)0.09
Male−2.166 (−3.940 to −0.039)0.017−2.525 (−4.015 to −1.035)0.001
Hypertension−3.266 (−5.436 to −1.096)0.003−0.675 (−2.626 to 1.276)0.497
Ischaemic heart disease−5.575 (−7.500 to −3.651)<0.001−3.324 (−5.098 to −1.550)<0.001
Congestive heart failure−21.225 (−23.735 to −18.715)<0.001−20.632 (−23.120 to −18.144)<0.001
Multivariable-adjusted associations with left atrial diameter LV, left ventricular. Multivariable-adjusted associations with left ventricular ejection fraction

Discussion

Major findings

This report provides the first comparative assessment of AF in Indigenous and non-Indigenous Australians. We found that AF was more prevalent among Indigenous Australians under 60 years of age and more prevalent in non-Indigenous Australians aged 60 years and above. Indigenous Australians under 60 years of age, but not those aged 60 years and above, had significantly greater left atrial diameters and rates of left ventricular systolic dysfunction than non-Indigenous counterparts after multivariable adjustment. These differences in cardiac structure and function may in-part explain the excess prevalence of AF seen in young Indigenous Australians that would contribute to the disparity in life-expectancies between Indigenous and non-Indigenous Australians.

Evidence for racial variation in the prevalence of AF

A number of previous studies have reported that Caucasian race is associated with a greater prevalence of AF and that African American race is associated with a lower prevalence of AF.2 8–12 Since then, further differences in the prevalence of AF have been variably noted in Chinese, Japanese, Korean, African and Latino populations.12 14–20 Despite the above studies, however, there continues to be a paucity of epidemiological data on AF from many parts of the world, including Australasia. In the present study, we thus sought to characterise AF in hospitalised Indigenous Australians. Compared to their non-Indigenous counterparts, we found a greater prevalence of AF in young Indigenous Australians, and in contrast, a lesser prevalence of AF in older Indigenous Australians.

Possible mechanisms underlying racial differences in AF prevalence

Despite the expanding literature describing racial differences in AF prevalence, the mechanisms underlying these observations remain unclear. There is a growing body of evidence suggesting that there exists a genetic predisposition to AF.21 Since familial AF was first reported in 1942, recent studies have shown an increased risk of AF associated with family history, various mutations and genetic loci.22 One study described how European ancestry was a risk factor for developing AF, however, we are not aware of any comparable reports including Indigenous Australians.23 It has also been hypothesised that genes governing atrial dimensions may be responsible. Left atrial diameter is a well-established risk factor for AF.9 Two previous studies have noted smaller left atria in African Americans compared to Caucasians, which they hypothesised might contribute to their lower burden of AF.12 24 Our finding that Indigenous Australians have larger left atria may thus in-part explain the excess burden of AF seen in younger Indigenous Australians observed in the present study. Similarly, left ventricular systolic dysfunction is a powerful risk factor for AF and our data confirm the previously described excess burden of ventricular dysfunction in Indigenous Australians.25 Varying risk factor profiles have also been previously speculated to be in-part responsible for racial differences in AF. Indigenous Australians have an excess burden of cardiovascular disease and a 11-year lower life expectancy compared to other Australians, reflecting entrenched social, economic and educational disadvantage.26 27 In recent data from the Heart of the Heart Study, comprehensive heart failure and risk factors data in Indigenous Australians was reported.25 In six Indigenous Australian communities in Central Australia, the burden of heart failure and risk factors was extremely high. Consistent with these findings, in our hospitalised and comparatively urban population of Indigenous Australians with AF, we also noted similar or greater rates of cardiovascular comorbidities compared to non-Indigenous Australians, despite their younger age. However, varying risk factor profiles are not always consistent with racial differences in AF prevalence; in African-American populations, for example, there is a paradoxically lower prevalence of AF in spite of their greater risk factor burden.28 29 It has also been hypothesised that under ascertainment of AF could explain some divergences, with a reported lower burden of AF in African-Americans potentially a result of poorer access to medical care. However, under ascertainment would be less likely in prior reports from integrated healthcare facilities and prospective studies where the ability to diagnose AF has been consistent across races.2 12 Additionally, this would not readily explain the greater, and not lesser, burden of AF noted in younger Indigenous Australians observed in the present study. Differences in mortality might in-part explain the greater AF prevalence seen in older non-Indigenous Australians. The disproportionately early morbidity and mortality faced by Indigenous Australians could in turn lead to a lower prevalence of AF in older age groups if only healthier individuals survived; simultaneously, access to better medical care in non-Indigenous Australians would improve survival despite concurrent comorbidities such as AF. Such a possible mortality difference may have resulted in the similar overall prevalence of AF observed after multivariable adjustment, despite the greater prevalence of AF in younger Indigenous Australians.

Implications

From a mechanistic perspective, our findings further support the notion that differences in cardiac structure and function may underlie racial variation in AF prevalence. On a clinical level, the excess burden of AF and other comorbidities observed in young Indigenous Australians is of concern. These data suggest that risk factor modification may mitigate the excess burden of morbidity and mortality due to AF in younger Indigenous Australians.

Study limitations

Our study has a number of limitations which limit the genereralisability of our results. First, asymptomatic AF may not have been detected. Second, there may be incomplete identification of Indigenous Australians in hospital records given race was self-reported and the racial make-up of any given individual can be complex; however, we demonstrated a difference in AF prevalence in spite of this. Third, a significant number of Indigenous Australians reside in rural regions, compared to the presently studied urban setting. Fourth, our cohort comprised hospitalised patients who, in contrast to the general population, have a greater prevalence of comorbidities and thus AF. As a result, our findings may not necessarily reflect that of the general population. Finally, there may be other potential confounders that were not measured, including differences in lifestyle factors and other predictors of AF such as diabetes, obesity and obstructive sleep apnoea.30

Conclusion

To the best of our knowledge, the present study provides the first assessment of AF in Indigenous Australians. Young, hospitalised Indigenous Australians have a significantly greater prevalence of AF than their non-Indigenous counterparts. These findings may be due in-part to more frequent comorbidities, larger left atrial dimensions and greater rates of left ventricular systolic dysfunction observed in young Indigenous Australians.
  30 in total

1.  Pericardial fat is associated with atrial fibrillation severity and ablation outcome.

Authors:  Christopher X Wong; Hany S Abed; Payman Molaee; Adam J Nelson; Anthony G Brooks; Gautam Sharma; Darryl P Leong; Dennis H Lau; Melissa E Middeldorp; Kurt C Roberts-Thomson; Gary A Wittert; Walter P Abhayaratna; Stephen G Worthley; Prashanthan Sanders
Journal:  J Am Coll Cardiol       Date:  2011-04-26       Impact factor: 24.094

2.  European ancestry as a risk factor for atrial fibrillation in African Americans.

Authors:  Gregory M Marcus; Alvaro Alonso; Carmen A Peralta; Guillaume Lettre; Eric Vittinghoff; Steven A Lubitz; Ervin R Fox; Yamini S Levitzky; Reena Mehra; Kathleen F Kerr; Rajat Deo; Nona Sotoodehnia; Meggie Akylbekova; Patrick T Ellinor; Dina N Paltoo; Elsayed Z Soliman; Emelia J Benjamin; Susan R Heckbert
Journal:  Circulation       Date:  2010-11-16       Impact factor: 29.690

Review 3.  Differential impact of race and risk factors on incidence of atrial fibrillation.

Authors:  T David Gbadebo; Henry Okafor; Dawood Darbar
Journal:  Am Heart J       Date:  2011-07       Impact factor: 4.749

Review 4.  Atrial fibrillation: current knowledge and future directions in epidemiology and genomics.

Authors:  Jared W Magnani; Michiel Rienstra; Honghuang Lin; Moritz F Sinner; Steven A Lubitz; David D McManus; Josée Dupuis; Patrick T Ellinor; Emelia J Benjamin
Journal:  Circulation       Date:  2011-11-01       Impact factor: 29.690

5.  Racial differences in atrial fibrillation prevalence and left atrial size.

Authors:  Gregory M Marcus; Jeffrey E Olgin; Mary Whooley; Eric Vittinghoff; Katie L Stone; Reena Mehra; Stephen B Hulley; Nelson B Schiller
Journal:  Am J Med       Date:  2010-03-11       Impact factor: 4.965

6.  Predisposing factors and incidence of newly diagnosed atrial fibrillation in an urban African community: insights from the Heart of Soweto Study.

Authors:  Karen Sliwa; Melinda Jane Carrington; Eric Klug; Lionel Opie; Geraldine Lee; Jocasta Ball; Simon Stewart
Journal:  Heart       Date:  2010-12       Impact factor: 5.994

7.  Burden of disease and injury in Aboriginal and Torres Strait Islander Peoples: the Indigenous health gap.

Authors:  Theo Vos; Bridget Barker; Stephen Begg; Lucy Stanley; Alan D Lopez
Journal:  Int J Epidemiol       Date:  2008-11-30       Impact factor: 7.196

8.  Low prevalence of atrial fibrillation in community-dwelling Chinese aged 55 years or older in Singapore: a population-based study.

Authors:  Keng Bee Yap; Tze Pin Ng; Hean Yee Ong
Journal:  J Electrocardiol       Date:  2007-05-24       Impact factor: 1.438

9.  Racial differences in the prevalence of atrial fibrillation among males.

Authors:  Ann M Borzecki; D Keith Bridgers; Jane M Liebschutz; Boris Kader; Lewis E Kazis; Dan R Berlowitz
Journal:  J Natl Med Assoc       Date:  2008-02       Impact factor: 1.798

10.  Incidence of atrial fibrillation in whites and African-Americans: the Atherosclerosis Risk in Communities (ARIC) study.

Authors:  Alvaro Alonso; Sunil K Agarwal; Elsayed Z Soliman; Marietta Ambrose; Alanna M Chamberlain; Ronald J Prineas; Aaron R Folsom
Journal:  Am Heart J       Date:  2009-07       Impact factor: 4.749

View more
  6 in total

1.  Opportunistic screening to detect atrial fibrillation in Aboriginal adults in Australia.

Authors:  Kylie Gwynne; Yvonne Flaskas; Ciaran O'Brien; Thomas Lee Jeffries; Debbie McCowen; Heather Finlayson; Tanya Martin; Lis Neubeck; Ben Freedman
Journal:  BMJ Open       Date:  2016-11-15       Impact factor: 2.692

2.  Sociodemographic variations in the amount, duration and cost of potentially preventable hospitalisation for chronic conditions among Aboriginal and non-Aboriginal Australians: a period prevalence study of linked public hospital data.

Authors:  David Banham; Tenglong Chen; Jonathan Karnon; Alex Brown; John Lynch
Journal:  BMJ Open       Date:  2017-10-15       Impact factor: 2.692

3.  Left atrial, pulmonary vein, and left atrial appendage anatomy in Indigenous individuals: Implications for atrial fibrillation.

Authors:  Nicholas A R Clarke; Nadarajah Kangaharan; Benedict Costello; Samuel J Tu; Nicole Hanna-Rivero; Kim Le; Ian Agahari; Wai Kah Choo; Bradley M Pitman; Celine Gallagher; Kawa Haji; Kurt C Roberts-Thomson; Prashanthan Sanders; Christopher X Wong
Journal:  Int J Cardiol Heart Vasc       Date:  2021-04-17

4.  Very Low Prevalence and Incidence of Atrial Fibrillation among Bolivian Forager-Farmers.

Authors:  Christopher J Rowan; Michael A Eskander; Edmond Seabright; Daniel Eid Rodriguez; Edhitt Cortez Linares; Raul Quispe Gutierrez; Juan Copajira Adrian; Daniel Cummings; Bret Beheim; Kirsten Tolstrup; Abinash Achrekar; Thomas Kraft; David E Michalik; Michael I Miyamoto; Adel H Allam; L Samuel Wann; Jagat Narula; Benjamin C Trumble; Jonathan Stieglitz; Randall C Thompson; Gregory S Thomas; Hillard S Kaplan; Michael D Gurven
Journal:  Ann Glob Health       Date:  2021-02-16       Impact factor: 2.462

5.  The prevalence of atrial fibrillation in Greenland: a register-based cross-sectional study based on disease classifications and prescriptions of oral anticoagulants.

Authors:  N Albertsen; S Riahi; M L Pedersen; N Skovgaard; S Andersen
Journal:  Int J Circumpolar Health       Date:  2022-12       Impact factor: 1.228

Review 6.  Atrial fibrillation in the Indigenous populations of Australia, Canada, New Zealand, and the United States: a systematic scoping review.

Authors:  Judith M Katzenellenbogen; John A Woods; Tiew-Hwa Katherine Teng; Sandra C Thompson
Journal:  BMC Cardiovasc Disord       Date:  2015-08-13       Impact factor: 2.298

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.