- Research article
- Open Access
Emergency department presentations for atrial fibrillation and flutter in Alberta: a large population-based study
BMC Emergency Medicine volume 17, Article number: 2 (2016)
Atrial fibrillation or flutter (AFF) are not infrequent presenting problems in Emergency Departments (ED); however, little is known of the pattern of these presentations. This study provides a description of AFF presentations and outcomes after ED discharge in Alberta.
Provincial administrative databases were used to obtain all primary ED encounters for AFF during 1999 to 2011 for patients aged >35 years. Data extracted included demographics, ED visit timing, and subsequent visits to non-ED settings. Analysis included summaries and standardized rates.
During the study period, there were 63,398 ED AFF visits from 32,104 distinct adults. Median ages for females and males were 75 and 67 years, respectively; more men (52%) and patients > 65 presented. Overall, the standardized rates remained similar (2.8 per 1,000 over the study period). Specific populations of human services recipients and First Nations had higher ED visit rates for AFF than other groups. Predictable daily, weekly, and monthly trends were observed. The ED visits were followed by numerous subsequent visits in non-ED settings; however, First Nations and women had lower rates of specialist follow-up.
Annually, over 5,000 ED presentations of patients experiencing AFF occur in Alberta and admissions proportions are declining. While presentation rates across the province are stable, follow-up with physicians, consultation with cardiologists and health outcomes vary based on socio-economic, age, sex, and First Nations status. Further research is required to understand the causes and consequences of these inequalities and to standardize care.
Atrial fibrillation and flutter (AFF) are the most common clinically diagnosed arrhythmias affecting older populations (approximately 350,000 Canadians  and 2.66 million Americans) . These arrhythmias are associated with an increased long-term risk of stroke, heart failure, and all-cause mortality . The age-sex-adjusted prevalence of AFF has increased over the years (from 613 per 100,000 population in 2000 to 1,148 per 100,000 population in 2005 in Alberta, Canada ), attributed to an aging population  and a rising prevalence of chronic heart disease [6, 7].
In Emergency Departments (EDs), physicians often manage patients with either recent-onset (first detected or paroxysmal) or permanent (chronic) AFF. Most patients with acute AFF are managed by physicians staffing emergency departments in Alberta. The large majority are seen by the full-time emergency physicians (in urban and regional EDs) or on-duty physicians staffing smaller hospital emergency departments (in rural EDs). Moreover, consultations are required for all admissions to urban and regional hospitals. The epidemiology of AFF in the ED setting is not well known and, what is known, arises from United States (US) data  and one recent Ontario study . This paper describes patients who presented to EDs for AFF using Alberta’s population-based databases. In particular, we focus on characteristics (e.g., age, sex), key process of care features of the ED presentation (e.g., triage level), and outcomes including physician follow up and mortality.
This cohort study used data from the Ambulatory Care Classification System (ACCS) database in the province of Alberta, Canada during April 1, 1999, to March 31, 2011. Since the Canadian health care system is a public, single payer system, the ACCS database captures 100% of the presentations by Albertans made to the ED.
The ACCS database  tracks ambulatory care visits, such as ED presentations, within government-funded health facilities in Alberta and supplies data for Canada’s National Ambulatory Care Reporting System . Patient encounters in all 104 provincial EDs are entered into computerized abstracts that constitute the majority of records. Using a uniform protocol, trained medical records nosologists code each ED chart using International Classification of Diseases (ICD): ICD-9-CM  (prior to April 1, 2002) or ICD-10-CA  (April 1, 2002 onward) codes. Each ACCS record represents a unique service and contains visit start and end dates and times, diagnoses, and disposition status. Demographic data were obtained by linking individuals in ACCS to the annual Alberta Health Care Insurance Plan cumulative registry file and follow-up physician visits to non-ED settings were obtained from the Physician Claim File. Alberta Vital Statistics provided data on deaths.
Diagnostic information in ACCS consisted of a main ambulatory diagnosis field, and up to 9 additional fields. To be considered an ED presentation for acute AFF, the main (first) diagnosis field had to have diagnostic codes 427.3x “Atrial Fibrillation and Flutter” (includes 427.31 and 427.32) or I48.x “Atrial Fibrillation and Flutter” (includes I48.0 and I48.1). ED presentations during the study were extracted for Alberta residents who matched the case definition and whose age at the ED presentation was ≥35 years.
Demographic variables extracted were age in years at ED presentation (grouped as 35–39,…,80–89, 90+; seniors defined as age ≥65), sex (male or female), and geographic area of residence (i.e., North, Edmonton, Central, Calgary, South). Alberta is administratively organized into five geographic zones (i.e., North in the North of the province, Central in the central area of the province, and South in the southern tip of the province, along with two major urban centres (Edmonton and Calgary area) for the delivery of health care services . The administrative data sources do not include a measure of socio-economic status; however, a proxy measure can be created based on some payment data. The Alberta government funds health care in the province and healthcare insurance premiums provided partial funding through January 1, 2009. Residents with lower incomes or on social services were eligible for premium subsidies the government classified as individuals as receiving Government Sponsored Programs or as a Human Services Recipient. These classifications only apply to individuals aged less than 65 and thus, would not apply to seniors. Also, many Aboriginal individuals have “Treaty” status based on treaties with the Canadian government  and these individuals are identifiable in the database because the Canadian government, rather than the provincial Alberta government, provide health care funding. Using these classifications and the age of the individual, a proxy measure for socio-economic status can be obtained to create six mutually exclusive groups based on age and subsidy. For those aged 35–64 years, the groups: First Nations (i.e., Aboriginal Canadians with Treaty status), Government Sponsored Programs, Human Services Recipient, and Other were created. For seniors (i.e., age ≥ 65 years), patients are categorized as First Nations or Non-First Nations. All of these variables were the demographic variables available in the Alberta Health Care Insurance Plan cumulative registry file.
The ED data included the start and end dates and times for the presentation. Triage level represents the urgency of the presentation and is based on the Canadian Triage and Acuity Scale (CTAS) . The five categories are: resuscitation (level I, see patient immediately), emergency (level II, see patient within 15 min), urgent (level III, see patient within 30 min), semi-urgent (level IV, see patient within 60 min), and non-urgent (level V, see patient within 120 min). Mandatory triage level reporting was implemented at different times in different EDs within Alberta. All patients departing an ED are given a disposition classification. Patients admitted were defined as those admitted to the facility (including those to the Critical Care Unit or Operating Room) or transferred to another acute care facility . Patients were also classified as discharged or other (e.g., death, left without being seen).
Physician visits to non-ED settings (follow-up visits hereafter) for any diagnosis were also extracted if they occurred within 365 days of the ED presentation. Data included the date, specialty of physician (grouped as specialist [cardiology or internal medicine] or other), and facility type (active treatment hospital, practitioner’s office, or other). Physician visits in the 365 days prior to the ED visit were similarly extracted and used to determine comorbidities according to a standard coding scheme .
Summaries included frequencies, percentages, medians and interquartile ranges (IQRs). Yearly age group-specific rates per 1,000 population (≥35 years) and sex-age group directly standardized visit rates (DSVRs ) were calculated. The 1999/2000 Alberta (≥35 years) population stratified by age group and sex was the reference population and 95% confidence intervals (CIs) were obtained. The Cochran-Armitage trend test was used to assess time trends in admission rates. When results were similar across years, more detailed summaries for the last year of data were provided. Monthly and day of week patterns were not statistically analyzed as these results were intended to be descriptive rather than inferential. Data were analyzed using TIBCO Spotfire S+ (Version 8.1.1 for Linux, TIBCO Software Inc, Palo Alto, CA. 2008) and SAS (Version 9.2, SAS Institute Inc. Cary, NC. 2010).
For analyses with both ED and follow-up visits, a discharged subset of “index” ED visits was created with one record per individual discharged from the ED. One ED visit was randomly selected among the multiple presentations from the same individual (using computer implemented simple random sampling), to enable index visits from across the study period. The times from the index ED visit to the first follow-up visit were calculated and displayed with Kaplan-Meier curves. Time was censored at 365 days after discharge or the next ED visit. Estimated median times are reported with 95% CIs and log-rank tests compare groups. Follow-up visits were summarized within 30 and 90 days of ED discharge. Deaths within 30 and 90 days of ED discharge were summarized. These summaries where intended to be descriptive rather than inferential. Deaths were classified as AFF-related if the cause of death matched the AFF case definition.
During the 12 year study period, 63,398 (0.6%) of all ED visits were for AFF and ED visits increased from 3,090 in 1999/2000 to 5,953 in 2010/2011 (Fig. 1). The 63,398 visits were made by 32,104 individual patients. On average, there were 2 visits/patient (median = 1, IQR = 1 to 2, max = 53). Most individuals (20,396; 63.5%) presented only once to an ED and the rest had multiple visits (e.g., 5,699 [17.8%] and 2,361 [7.4%] presented two and three times, respectively). The crude ED presentation rate remained stable at 2.9 to 3.4 per 1,000.
Age and sex
Among 63,398 ED presentations, 48.2% were made by females. Younger patients were more likely to be male (e.g., the rate ratio for female vs male for age 65–69 was 0.80, 95% CI 0.69 to 0.93, p = 0.003) and older patients were more likely to be female (e.g., the rate ratio for age 85–89 was 1.36, 95% CI 1.13 to 1.66, p = 0.001; Fig. 2). The DSVRs were similar for each year and close to the crude rates (Fig. 1).
In 2010/2011, the majority of ED visits for AFF were made by non-First Nations seniors (3,697, 62.1%; Table 1). First Nations seniors also had approximately three times as many ED presentations as would have been expected by the population proportion. Conversely, the Other aged 35–64 years group represented 70.3% of the population but had disproportionately fewer ED presentations (29.8%). The DVSRs for seniors were highest for First Nations (11.5 vs 8.9 per 1,000; Additional file 1 Table S1) and for those aged 35 to 64 years, the First Nations group had the highest DSVRs (2.3 vs 1.7, 1.5, and 1.1). These patterns were seen for other study years and DSVRs were relatively stable across the study period (Additional file 1: Figures S1 and S2).
By 2010/2011, the majority (79.9%) of ED visits for AFF were classified as either CTAS II emergency (42.3%, 2,516) or CTAS III urgent (37.7%, 2,243) (Additional file 1: Table S2).
ED visits for AFF ranged from 314 per month (August, September of 1999) to 553 per month (May 2010), with a median of 445. Similar monthly patters were seen for each fiscal year (Fig. 3).
The number of ED visits varied with the day of week. Monday (9,895, 15.6%) and Tuesday (9,708, 15.3%) tended to have more visits than the other days while Saturday (7,875, 12.4%) and Sunday (7,699, 12.1%) had less visits. The patterns of ED visits by hour of the day were similar for each fiscal year. Generally ED visits peaked between 7 am and 12 pm and were less frequent between 12 am and 6 am.
Of the 59,205 visits (93.4%) with start and end date and time information, the median total ED length of stay (LOS) was 3h50m (Additional file 1: Table S3). For admissions (17,776 visits) and ED discharges (41,219 visits), the median ED LOS was 4h16m and 3h43m, respectively. The remaining 210 visits had other dispositions. The Edmonton and Calgary Zones, corresponding to the urban areas where ED volumes are highest, had longer LOSs than the other Zones.
Discharge was the most common disposition and there was an increasing trend of ED discharge over the study period (Fig. 4, Cochran-Armitage trend test, p < 0.001). For 2010/2011, 4,314 (72.5%) ED visits for AFF ended in discharge and 1,602 (26.9%) in admissions.
There were 44,064 ED visits made by 21,062 individual patients that concluded with a discharge. For each of the 21,062 patients, we used simple random sampling to select a single visit, comprising the discharged subset group. The discharged subset had 10,007 (47.5%) females and a mean age of 69.0 years. Overall, 65% (13587/21062) and 28% (5,864) were from the non-First Nations seniors and Other 35–64 group, respectively. Using physician visits in the 365 days prior to the ED visit, the most common comorbidities documented were hypertension (9,266 patients, 44.0%), cardiac arrhythmias (8,058, 38.3%), congestive heart failure (3,152, 15.0%), chronic pulmonary disease (2,825, 13.4%), and depression (2,140, 10.2%).
Prior physician claims for AFF
At least one physician claim for AFF in the year prior to the ED visit was documented for 7,111 (33.8%) of the 21,062 patients. There were 3,136 and 5,111 physician claims for AFF in the 7 and 30 days prior to the ED visit, respectively. Most were made by the non-First Nations seniors group (1,931 [61.6%] at 7 days; 3,197 [62.6%] at 30 days).
Return ED visits
At 30 days after ED discharge, 2,138 (10.3%, n = 20,854) patients had at least one return ED visit for AFF. At 90 days, the number increased to 2,949 (14.3%, n = 20,599). The time to ED return varied among subsidy groups (Fig. 5; p < 0.001), with the non-First Nations seniors and First Nations aged 35–64 groups having the longest times.
At 30 and 90 days after ED discharge, 85 and 92% of patients had at least one follow-up visit. The estimated median time to the first follow-up visit was 5 days (95% CI: 5 to 5). The estimated median times differed by subsidy group (p < 0.001, Fig. 6) although the variation is likely not clinically important: the First Nations 35–64 group was the longest at 8 days (95% CI: 6 to 10) whereas the other groups were 4 days (Government Sponsored Programs 35–64, 95% CI: 4 to 5), 5 days (First Nations seniors, 95% CI: 4 to 7; non-First Nations seniors, 95% CI: 4 to 5; Human Services Recipient 35–64 groups, 95% CI: 4 to 6), and 6 days (Other 35–64, 95% CI: 6 to 6).
Specialist follow-up visits
At 30 and 90 days after ED discharge, 38 and 58% of patients had a specialist follow-up visit, respectively. The estimated median time to a specialist follow-up visit was 56 days (95% CI: 54 to 59) and these times differed by sex (p < 0.001) and subsidy group (p < 0.001). Females had slightly longer estimated median times (61 days, 95% CI: 57 to 64) than males (53 days, 95% CI: 50 to 55). The Human Services Recipient and Other 35–64 groups had the shortest times of 42 days, 95% CIs: 35 to 50 and 40 to 44, respectively (Fig. 7). The First Nations groups had the longest times: 103 and 182 days for those under and over age 65, respectively. Generally, patients with more urgent care requirements (triage level) had shorter times to see a specialist than those requiring less urgent care (p < 0.001). For example, the estimated median time was 40 days (95% CI: 38 to 42) for patients triaged as emergency whereas it was 102 days (95% CI: 91 to 121) for semi-urgent patients.
Deaths after ED discharge
At 30 days after the ED visit, 234 (1.1%) of patients had died and 14 (6.0%) of the deaths were classified as AFF-related. At 90 days, there were 548 (2.6%) deaths and 24 (4.4%) were AFF-related. There were more deaths for females and the vast majority of deaths occurred in seniors that were non-First Nations (n = 13,587): 203 (1.5%) and 476 (3.5%) deaths at 30 and 90 days, respectively.
Using a population-based database and extensive linkages among databases, this study provides a comprehensive evaluation of AFF in one Canadian province. This study has several key findings. First, AFF is a not infrequent ED presentation but less common than other cardio-respiratory conditions (i.e., COPD  asthma ); however, this analysis under-estimates the magnitude of AFF in the ED. Since inclusion was restricted to patients with the first diagnosis being AFF, many chronic cases of AFF would not be included (e.g., if patients primarily presented with other acute cardiac [acute coronary syndrome, heart failure] or respiratory [chronic obstructive pulmonary disease] conditions as their primary concern, AFF would be coded as a secondary cause of presentation). Second, the seasonal trends and the day and hour trends in AFF are similar to other chronic conditions in Alberta such as asthma  and COPD . Third, times to follow-up varied considerably across socioeconomic groups, age and sex. For example, the First Nations population has the longest delay to primary care follow-up and the lowest specialist follow-up. Similar patterns have been seen in Alberta with respect to contact with pulmonary specialists following ED visits for asthma .
The estimated median time to the first follow-up visit was 5 days, shorter than for other chronic medical conditions such as asthma (19 days)  and COPD (13 days) . Almost all patients are followed up at least once following their ED discharge; however, access to specialized cardiac services and consultation was variable. Moreover, many patients made multiple visits, likely reflecting a combination of the need for anticoagulation monitoring, repeat symptoms and/or complications. Finally, the outcomes for AFF presentations to the ED in Alberta are similar to those identified in a recent Ontario study .
There are limited similar studies available for comparison and their results differ from what we report. For example, the Ontario evaluation of atrial fibrillation cases  from 2002 to 2010 showed an increase in the crude rate of ED presentations for patients aged 18 to 105 years, whereas our crude rates remained relatively stable and even decreased slightly for patients aged ≥35. Alberta had lower admission rates than Ontario although this decreased in both provinces over time. The factors which might explain these observations are complex and may be related to that fact the databases employed do not contain more detailed information on other known risk factors for AFF (e.g., smoking status, diet), other health care resources outside the ED, and/or physician practices in ED and in primary care.
US data  from the National Hospital Ambulatory Medical Care Survey during 1993 to 2004 demonstrated an increase in the population-adjusted rate for ED presentations with a primary diagnosis of atrial fibrillation. Conversely, from 1999 to 2004, DSVRs in Alberta were generally stable with some slight increases. The admission proportion in patients with AFF in the US remained stable over time in this study and higher than similar patients in Canada, whereas our Alberta study saw decreases in admission. The reasons for these important differences require further exploration.
This study has several limitations. First, the databases used to describe AFF could not differentiate between recent-onset AFF and chronic AFF which caused symptoms severe enough to require an ED visit. Second, the databases accessed in this study are unable to capture all cases of AFF visits to the healthcare system, “true” incidence of disease, and the severity of the AFF episode. Third, patients were required to have the first recorded diagnosis be AFF and cases were randomly selected for study inclusion when multiple visits occurred in the year. Fourth, we fully recognize the definition of First Nations will underestimate the Aboriginal population. In Canada, there are three distinct Aboriginal peoples and these groups have been shown to be high users of the emergency health care system, especially for cardio-respiratory problems [21, 24]. In addition, the databases do not contain all potential confounding variables that might be able to explain observed differences in outcomes. Finally, it is not clear if all patients presenting to the ED with AFF need a cardiology follow-up visit and if the follow-up visits to cardiologists were directly linked with the preceding ED presentation.
ED presentations of patients experiencing atrial fibrillation and flutter number over 5,000 annually in Alberta. While presentation rates across the province are stable, follow-up with physicians, consultation with cardiologists and health outcomes vary based on socio-economic, age, sex, and First Nations status. Further research is required to understand these inequalities.
Ambulatory Care Classification System
Atrial fibrillation and flutter
Chronic obstructive pulmonary disease
Canadian Triage Acuity Scale
Directly standardized visit rate
International Classification of Diseases, 10th Revision, Canadian Enhancement
International Classification of Diseases, 9th Revision, Clinical Modification
Heart & Stroke Foundation. Atrial fibrillation - be pulse aware. 2014. http://www.heartandstroke.com/site/c.ikIQLcMWJtE/b.5052135/k.2C86/Heart_disease__Atrial_fibrillation.htm. Accessed 4 Jan 2017.
Lloyd-Jones D, Adams RJ, Brown TM, Carnethon M, Dai S, Simone GD, et al. Heart disease and stroke statistics-2010 update: a report from the American Heart Association. Circulation. 2010;121:e46–215.
Stewart S, Hart CL, Hole DJ, McMurray JJV. A population-based study of the long-term risks associated with atrial fibrillation: 20-year follow-up of the Renfrew/Paisley study. Am J Med. 2002;113:359–64.
Sandhu RK, Bakal JA, Ezekowitz JA, McAlister FA. The epidemiology of atrial fibrillation in adults depends on locale of diagnosis. Am Heart J. 2011;161:986–92. e1.
Yazdanyar A, Newman AB. The burden of cardiovascular disease in the elderly: morbidity, mortality, and costs. Clin Geriatr Med. 2009;25:563–77.
Friberg J, Buch P, Scharling H, Gadsbphioll N, Jensen GB. Rising rates of hospital admissions for atrial fibrillation. Epidemiology. 2003;14:666–72.
Wattigney WA, Mensah GA, Croft JB. Increasing trends in hospitalization for atrial fibrillation in the United States, 1985 through 1999: implications for primary prevention. Circulation. 2003;108:711–6.
McDonald AJ, Pelletier AJ, Ellinor PT, Camargo Jr CA. Increasing US emergency department visit rates and subsequent hospital admissions for atrial fibrillation from 1993 to 2004. Ann Emerg Med. 2008;51:58–65.
Atzema CL, Austin PC, Miller E, Chong AS, Yun L, Dorian P. A population-based description of atrial fibrillation in the emergency department, 2002 to 2010. Ann Emerg Med. 2013;62:570–7. e7.
Alberta Health and Wellness. Ambulatory care in Alberta using Ambulatory Care Classification System data. Edmonton: Alberta Health and Wellness; 2004.
Canadian Institute for Health Information. National Ambulatory Care Reporting System (NACRS). Ottawa: Canadian Institute for Health Information; 2014.
Practice Management Information Corporation. International classification of diseases, 9th revision, clinical modification. 3rd ed. Los Angeles: Practice Management Information Corporation; 1989.
Canadian Institute for Health Information. The Canadian enhancement of ICD-10. Toronto: Canadian Institute for Health Information; 2001.
Alberta Health Services. Alberta Health Services zone map. 2015. http://www.albertahealthservices.ca/assets/zone/ahs-map-ahs-zones.pdf. Accessed 4 Jan 2017.
Aboriginal Affairs and Northern Development Canada. Terminology. 2012. http://www.aadnc-aandc.gc.ca/eng/1100100014642/1100100014643. Accessed Jan 2017.
Bullard MJ, Unger B, Spence J, Grafstein E, CTAS National Working Group. Revisions to the Canadian Emergency Department Triage and Acuity Scale (CTAS) adult guidelines. CJEM. 2008;10:136–51.
Quan H, Li B, Saunders LD, Parsons GA, Nilsson CI, Alibhai A, et al. Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database. Health Serv Res. 2008;43:1424–41.
Carriere KC, Roos LL. Comparing standardized rates of events. Am J Epidemiol. 1994;140:472–82.
Rosychuk RJ, Voaklander DC, Senthilselvan A, Klassen TP, Marrie TJ, Rowe BH. Presentations to emergency departments for chronic obstructive pulmonary disease in Alberta: a population-based study. CJEM. 2010;12:500–8.
Rowe BH, Voaklander DC, Wang D, Senthilselvan A, Klassen TP, Marrie TJ, et al. Asthma presentations by adults to emergency departments in Alberta, Canada: a large population-based study. Chest. 2009;135:57–65.
Sin DD, Wells H, Svenson LW, Man SF. Asthma and COPD among aboriginals in Alberta, Canada. Chest. 2002;121:1841–6.
Rowe BH, Voaklander DC, Marrie TJ, Senthilselvan A, Klassen TP, Rosychuk RJ. Outcomes following chronic obstructive pulmonary disease presentations to emergency departments in Alberta: a population-based study. Can Resp J. 2010;17:295–300.
Atzema CL, Austin PC, Chong AS, Dorian P. Factors associated with 90-day death after emergency department discharge for atrial fibrillation. Ann Emerg Med. 2013;61:539–48. e1.
Ospina MB, Voaklander D, Senthilselvan A, Stickland MK, King M, Harris AW, et al. Incidence and prevalence of chronic obstructive pulmonary disease among aboriginal peoples in Alberta, Canada. Plos One. 2015;10:e0123204.
The authors thank Alberta Health and Alberta Vital Statistics for providing data and to Xuechen Zhang MSc and Xiaoqing Niu PhD for analyses. This study is based in part on data provided by Alberta Health. The interpretation and conclusions are contained herein are those of the researchers and do not necessarily represent the views of the Government of Alberta. Neither the government nor Alberta Health expresses any opinion in relation to this study. Dr. Rowe is the Scientific Director for the Institute of Circulatory and Respiratory Health (ICRH) at CIHR; the results and conclusions contained herein are those of the researchers and do not represent the views or opinions of ICRH/CIHR, the Government of Canada, or any of their respective staff.
The study was funded by an Innovation Grant from the Women & Children’s Health Research Institute and Alberta Health (AHW FP12-784). Dr. Rosychuk was salary supported by Alberta Innovates-Health Solutions as a Health Scholar. Dr. Rowe is a Tier I Canada Research Chair in Evidence-based Emergency Medicine awarded by the Canadian Institutes of Health Research. Drs. Rowe and Holroyd are partially supported by the Emergency Strategic Clinical Network, Alberta Health Services. The funders did not have any role in the study and do not take responsibility for the opinions expressed here.
Availability of data and material
The datasets generated during and/or analysed during the current study are not publicly available. The data provided for this project was subject to a legal agreement between Alberta Health and the researcher under the Health Information Act of Alberta in order to preserve the privacy of Albertans. Researchers who require access to this or similar data must obtain research ethics board approval with a primary investigator based at an Alberta university. Researchers are welcome to inquire for further information at Health.RESDATA@gov.ab.ca.
All authors participated in the study concept and design, and obtained funding. RJR and BHR acquired the data. RJR directed the statistical analysis. All authors interpreted the data, drafted the manuscript, and provided critical revision of the manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
The University of Alberta Health Research Ethics Board approved this study and waived consent.
Three additional tables and two additional figures. Table S1. Sex and age group directly standardized visit rates per 1,000 population (aged ≥ 35) by fiscal year and subsidy group. Table S2. Frequency and percentage (%) of ED* visits for AFF† by triage level for each fiscal year. Table S3. Duration of ED* visits for AFF† by disposition status and major geographic areas for patients (≥35 years). Median (Med), 25th percentile (25th) and 75th percentile (75th) are provided. Figure S1. Sex and age group directly standardized visit rates per 1,000 population by fiscal year and subsidy group for those aged 35–64: First Nations (∆), Government Sponsored Programs (+), Human Services Recipient (×), and Other (○). Figure S2. Sex and age group directly standardized visit rates per 1,000 population by fiscal year and subsidy group for seniors: First Nations (∆) and non-First Nations (○). (DOCX 310 kb)
About this article
Cite this article
Rosychuk, R.J., Graham, M.M., Holroyd, B.R. et al. Emergency department presentations for atrial fibrillation and flutter in Alberta: a large population-based study. BMC Emerg Med 17, 2 (2016). https://0-doi-org.brum.beds.ac.uk/10.1186/s12873-016-0113-2
- Administrative databases
- Atrial fibrillation
- Atrial flutter
- Emergency department