Clinical Differences between Subtypes of Atrial Fibrillation and Flutter: Cross-Sectional Registry of 407 Patients

Abstracts

Introduction:

Atrial fibrillation and atrial flutter account for one third of hospitalizations due to arrhythmias, determining great social and economic impacts. In Brazil, data on hospital care of these patients is scarce.

Objective:

To investigate the arrhythmia subtype of atrial fibrillation and flutter patients in the emergency setting and compare the clinical profile, thromboembolic risk and anticoagulants use.

Methods:

Cross-sectional retrospective study, with data collection from medical records of every patient treated for atrial fibrillation and flutter in the emergency department of Instituto de Cardiologia do Rio Grande do Sul during the first trimester of 2012.

Results:

We included 407 patients (356 had atrial fibrillation and 51 had flutter). Patients with paroxysmal atrial fibrillation were in average 5 years younger than those with persistent atrial fibrillation. Compared to paroxysmal atrial fibrillation patients, those with persistent atrial fibrillation and flutter had larger atrial diameter (48.6 ± 7.2 vs. 47.2 ± 6.2 vs. 42.3 ± 6.4; p < 0.01) and lower left ventricular ejection fraction (66.8 ± 11 vs. 53.9 ± 17 vs. 57.4 ± 16; p < 0.01). The prevalence of stroke and heart failure was higher in persistent atrial fibrillation and flutter patients. Those with paroxysmal atrial fibrillation and flutter had higher prevalence of CHADS2 score of zero when compared to those with persistent atrial fibrillation (27.8% vs. 18% vs. 4.9%; p < 0.01). The prevalence of anticoagulation in patients with CHA2DS2-Vasc ≤ 2 was 40%.

Conclusions:

The population in our registry was similar in its comorbidities and demographic profile to those of North American and European registries. Despite the high thromboembolic risk, the use of anticoagulants was low, revealing difficulties for incorporating guideline recommendations. Public health strategies should be adopted in order to improve these rates.

Arrhythmias; Cardiac; Atrial Fibrillation; Flutter Atrial; Anticoagulants / adverse effects; Stroke

Fundamento:

A fibrilação atrial e o flutter atrial são responsáveis por um terço das hospitalizações por arritmias, com impacto socioeconômico significativo. Os dados brasileiros a respeito desses atendimentos são escassos.

Objetivo:

Investigar o subtipo fibrilação atrial ou flutter em pacientes atendidos em emergência em virtude dessas arritmias e comparar os perfis de comorbidades, risco de eventos tromboembólicos e uso de anticoagulantes.

Métodos:

Estudo transversal retrospectivo, com coleta de dados de prontuário de todos os pacientes atendidos por flutter e fibrilação atrial na emergência do Instituto de Cardiologia do Rio Grande do Sul no primeiro trimestre de 2012.

Resultados:

Foram incluídos 407 pacientes (356 com fibrilação atrial e 51 com flutter). Os pacientes com fibrilação atrial paroxística eram, em média, 5 anos mais jovens do que aqueles com fibrilação atrial persistente. Comparados àqueles com fibrilação atrial paroxística, os pacientes com fibrilação atrial persistente e flutter tinham maior diâmetro atrial (48,6 ± 7,2 vs. 47,2 ± 6,2 vs. 42,3 ± 6,4; p < 0,01) e menor fração de ejeção (66,8 ± 11 vs. 53,9 ± 17 vs. 57,4 ± 16; p < 0,01). A prevalência de acidente vascular cerebral e insuficiência cardíaca foi maior naqueles com fibrilação atrial persistente e flutter. Os pacientes com fibrilação atrial paroxística e flutter apresentavam mais frequentemente escore CHADS2 de zero em relação àqueles com fibrilação atrial persistente (27,8% vs. 18% vs. 4,9%; p < 0,01). A prevalência de anticoagulação nos pacientes com escore CHA2DS2-Vasc ≥ 2 foi de 40%.

Conclusão:

A população de nossa amostra teve características demográficas e perfil de comorbidades semelhantes aos de registros ambulatoriais europeus e norte-americanos. Apesar do risco elevado de eventos tromboembólicos, a prevalência de anticoagulação foi baixa, revelando dificuldades na implementação das diretrizes. Estratégias devem ser adotadas para melhorar esses índices.

Arritmias Cardíacas; Fibrilação Atrial; Flutter Atrial; Anticoagulantes/efeitos adversos; Acidente Vascular Cerebral

Introduction

Atrial fibrillation (AF) is the most common sustained arrhythmia in clinical practice, affecting around 1.5 million people in Brazil ¹. The clinical presentation of AF can vary from an occasional finding in an asymptomatic patient to more severe presentations, such as stroke or acute heart failure (HF)^{1 - 3}. The latest guidelines^{4 - 6} recommend classification of AF into paroxysmal (PaAF) and persistent or permanent (PeAF) and differentiation and characterization of atrial flutter events⁴.

AF is responsible for about one-third of all hospital admissions for heart rhythm disorders and is associated with increased morbidity and mortality in all its presentation forms. The incidence of AF has increased progressively in the last decades, relating closely to the aging of the population and increasing prevalence of risk factors such as hypertension, obesity, diabetes mellitus and sleep apnea^{2 , 3 , 7}. As a result, the number of hospital admissions for AF is also increasing progressively. Patel et al.⁷ demonstrated an increase of 14.4% in the number of hospitalizations due to AF in the United States over 10 years, with an estimated cost of care exceeding U$ 6.7 billion a year, three-fourths of which are directed to hospital expenses. It is thus imperative to know the clinical characteristics of the patients who present to the emergency department with this pathology.

In Brazil, epidemiological data related to AF are scarce. The undergoing Brazilian Cardiovascular Record of Atrial Fibrillation (REgistro Brasileiro CArdiovascular de FibriLação AtriaL, RECALL)⁸ is seeking to define the characteristics of outpatients with AF. However, there are no specific data regarding the clinical characteristics of the patients who present to the emergency department with this pathology.

Recent studies have shown increased risk of development of AF after radiofrequency ablation of atrial flutter^{9 , 10}. The risk appears to be greater with the practice of endurance sports¹¹. Animal studies suggest that classical flutter (typical or atypical) requires a preceding period of AF, and that the organization (and maintenance) of the macro-reentrant circuit in flutter is dependent on a functional line of block between the inferior and superior vena cava. Thus, when cavotricuspid isthmus ablation is performed, the line of block is undone, preventing the "organization" of the circuit and causing AF to emerge and perpetuate. Furthermore, the use of antiarrhythmic drugs with sodium channel blocking properties (which affect atrial conduction - class IA, class IC and amiodarone) are associated with the "conversion" of AF into flutter^{12 , 13}.

These observations corroborate the theories that atrial flutter and AF share similar pathophysiological mechanisms, in addition to having similar clinical impact, since both increase the risk of events and have an impact on the patient's quality of life^{9 , 12 , 13}. Despite that, there is scant information about the epidemiology of atrial flutter. For this reason, the North American and European cardiology societies have requested, in a joint guideline of supraventricular arrhythmias, the inclusion of flutter in AF registries⁴.

The aim of our study was to describe and compare the clinical characteristics of patients with PaAF, PeAF and atrial flutter seen at the emergency department of a cardiology referral hospital.

Methods

Design

This is a cross-sectional, unicenter study that included all patients over the age of 18 years with atrial fibrillation and flutter seen at the emergency department of the Instituto de Cardiologia de Porto Alegre in the first trimester of 2012. The emergency department of this tertiary cardiology hospital serves annually over 40 thousand patients.

The study was submitted for approval to the Ethics and Research Committee of the Fundação Universitária do Instituto de Cardiologia.

Patients

Trained investigator and fellows collected from an electronic medical record system between January and May 2014 retrospective data associated with ICD I48 (atrial fibrillation or flutter).

The type of AF was registered by the physician during consultation. The patients were divided into three groups: PaAF, according to the classification of the AF guideline; PeAF, including patients with persistent and permanent fibrillation; and atrial flutter. We included patients with persistent and permanent fibrillation in a single group since these subtypes are often not distinguished during consultation.

We evaluated the following clinical variables retrieved from the medical records: gender, age, hypertension, previous stroke, diabetes mellitus, HF, prior myocardial infarction or known coronary artery disease, presence of aortic plaque, peripheral artery disease and use of anticoagulants. Calculation of the CHADS2 and CHA2DS2-VASc scores was based on the collected clinical information. The echocardiographic variables evaluated included atrial diameter (according to the criteria defined by the echocardiographer) and ejection fraction (estimated by the methods of Teicholz or Simpson). We evaluated the prescription of the following drugs: warfarin, phenprocoumon, dabigatran, rivaroxaban, amiodarone, sotalol, propafenone, beta-blockers, calcium channel blockers, digoxin, aspirin, clopidogrel, prasugrel, ticlopidine, statins, diuretics, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers and antidiabetics. We also evaluated the international normalized ratio of prothrombin time (INR-PT) on the day of the consultation.

The information obtained was stored in a database developed especially for this purpose in a microcomputer, using the software MedCalc (BE, Netherlands).

Statistical analysis

The statistical analyses were processed with the software Statistical Package for the Social Sciences (SPSS), version 16.0 (SPSS, Inc., Chicago, Illinois). We prepared tables with absolute frequencies and percentages for sample characterization. Continuous variables were described as means and standard deviations, or medians and interquartile ranges, using the t-test for independent samples and analysis of variance (ANOVA) for their comparisons. Categorical variables were compared with the z-test. Variables were considered normal following observation of the measures of central tendency, kurtosis and asymmetry in frequency histograms. We considered p < 0.05 as statistically significant. Post-hoc analyses were performed using the Bonferroni test.

Results

In the first trimester of 2012, a total of 407 patients consulting at the emergency department were identified with ICD I48 as the main reason for the visit. Upon review of the medical records, AF was observed in 356 of these cases and atrial flutter in the remaining 51. The main clinical and demographic characteristics of the patients are shown in Table 1.

Table 1
Clinical characteristics of the patients (n = 407) according to the type of atrial fibrillation (AF) or flutter

Characteristic	AF		Flutter (n = 51)	p value
	Paroxysmal (n = 188)	Persistent (n = 168)
Age, years	64 ± 15	69 ± 14*	66 ± 14	< 0.01
Male gender, n (%)	95 (50.5)	82 (48.8)	37 (72.5)† , ‡	0.09
Echocardiogram
LVEF, %	66.8 ± 11	57.4 ± 16*	53.9 ± 17†	< 0.01
LA, mm	42.3 ± 6.4	48.6 ± 7.2*	47.2 ± 6.2†	< 0.01
Anticoagulation, n (%)	40 (21.3)	75 (44.6)*	22 (43.1)†	< 0.01
Comorbidities, n (%)
HF	37 (19.7)	86 (51.2)*	23 (45.1)†	< 0.01
Hypertension	106 (56.4)	117 (69.6)*	30 (58.8)	0.03
DM	23 (12.2)	29 (17.3)	8 (15.7)	0.4
Stroke	3 (1.6)	18 (10.7)*	5(9.8)†	< 0.01
CHADS2 Score				< 0.01
0	50 (27.8)*	8 (4.9)	9 (18)‡
1	43 (23.9)	37 (22.6)	13 (26)
2	54 (30)	53 (32.3)	9 (18)
3	23 (12.8)	40 (24.4)*	12 (24)
4	10 (5.6)	18 (11)	6 (12)
5	0	5 (3)	1 (2)
6	0	3 (1.8)	0
Mean CHADS2	1.4 ± 1.2	2.3 ± 1.3*	1.9 ± 1.4	< 0.01
Readmission, n (%)	91 (48.4)	80 (47.6)	27 (52.9)	0.8

• ^*
  Difference between the groups with persistent AF and paroxysmal AF;
• ^†
  difference between the groups with flutter and paroxysmal AF
• ^‡
  difference between the groups with flutter and persistent AF. LVEF: left ventricular ejection fraction; LA: left atrium; HF: heart failure; DM: diabetes mellitus.

Mean age was higher in patients with PeAF compared with those with PaAF (69 ± 14 years vs. 64 ± 15 years; p < 0.01). On echocardiography, patients with PeAF and flutter, compared with those with PaAF, presented larger atrial diameter (48.6 ± 7.2 mm vs. 47.2 ± 6.2 mm vs. 42.3 ± 6.4 mm; p < 0.01) and lower mean ejection fraction (57.4 ± 16% vs. 53.9 ± 17% vs. 66.8 ± 11%; p < 0.01). There was no significant difference between PeAF and flutter regarding these two characteristics. The prevalence of HF and stroke was also higher in patients with PeAF and flutter compared with those with PaAF (HF: 51.2% vs. 45.1% vs. 19.7%, p < 0.01; stroke: 10.7% vs. 9.8% vs. 1.6%, p < 0.01). In contrast, the prevalence of hypertension was only increased in individuals with PeAF when compared with those with PaAF (69.6% vs. 56.4%; p = 0.03). The prevalence of diabetes mellitus did not differ significantly between the groups.

Figure 1 illustrates the prevalence of each risk category of the CHADS2 score in the subgroups with AF and flutter. The CHADS2 score also differed among the groups, with a higher prevalence of a score of zero among patients with PaAF and flutter compared with those with PeAF (27.8% vs. 18% vs. 4.9%; p < 0.01). Patients with PeAF presented more frequently with a CHADS2 score of 3 when compared with patients with PaAF (24.4% vs. 12.8%; p < 0.01), and the average score also differed significantly between these two groups (2.3 vs. 1.4; p < 0.01).

Figure 1
Prevalence of each risk category of the CHADS2 score in paroxysmal atrial fibrillation, persistent atrial fibrillation and flutter.

Table 2 shows the patients stratified according to the CHA2DS2-VASc score in all three groups. The prevalence of a zero score was higher in the PaAF group when compared with the PeAF group (15.5% vs. 3.6%; p < 0.01). Figure 2 shows the percentage of anticoagulated patients stratified into CHA2DS2-VASc scores of zero, 1 and ≥ 2. Patients with a score ≥ 2 were more often anticoagulated compared with those with a score of zero (40% vs. 10%; p < 0.01). Median INRs of the anticoagulated patients during the evaluation at the hospital or in the week before the evaluation were, respectively, 1.50 in the PaAF group, 1.63 in the PeAF group and 1.63 in the flutter group.

Table 2
CHA2DS2-VASc score according to the type of atrial fibrillation

Characteristic	Atrial fibrillation		Flutter (n = 51)	p value
	Paroxysmal (n = 188)	Persistent (n = 168)
CHA2DS2-VAsc				< 0.01
0	28 (15.5)*	6 (3.6)	6 (11.8)
1	39 (20.9)	20 (12.0)	11 (21.6)
2	27 (14.4)	22 (13.2)	9 (17.6)
3	41 (21.9)	44 (26.3)	8 (15.7)
4	32 (17.1)	35 (21.0)	10 (19.6)
5	13 (7.0)	24 (14.4)	7 (13.7)
6	4(2.1)	9 (5.4)	0
7	2 (1.1)	6 (3.6)	0
8	0	1 (0.6)	0
9	0	0	0

• ^*
  Difference between the groups with persistent atrial fibrillation and paroxysmal atrial fibrillation.

Figure 2
Prevalence of prescription of oral anticoagulants according to the CHA2DS2-VASc score.

Table 3 summarizes the drugs prescribed in each subgroup of patients. When we compared patients with PeAF and PaAF, those with PeAF used more frequently beta-blockers (68.9% vs. 50%; p < 0.01), digoxin (22.6% vs. 4.3%; p < 0.01), calcium channel blockers (19.9% vs. 8.5%; p = 0.03); diuretics (56% vs. 25%; p < 0.01) and angiotensin-converting enzyme inhibitors (41.7% vs. 21.8%; p < 0.01). Patients with flutter, compared with those with PaAF, used more frequently digoxin (15.7% versus 4.3%; p < 0.01) and warfarin (29.4% vs. 9.6%; p < 0.01).

Table 3
Prevalences of use of each drug class according to the type of atrial fibrillation (AF) or flutter

Drug	AF		Flutter(n = 51)	p value
	Paroxysmal (n = 188)	Persistent (n = 168)
Amiodarone	25 (13.3)	20 (11.9)	9 (17.6)	0.57
Propafenone	12 (6.4)	5 (3)	0	0.07
Beta-blocker	94(50)	115 (68.9)*	29 (56.9)	< 0.01
Digoxin	8 (4.3)	38 (22.6)*	8 (15.7)†	< 0.01
CCB	16 (8.5)	32 (19.9)*	3 (5.9)	0.03
Sotalol	2 (1.1)	3 (1.8)	0	0.58
Warfarin	18 (9.6)	47(28)†	15 (29.4)†	< 0.01
Phenprocoumon	3 (1.6)	12 (7.1)*	4 (7.8)	0.06
Dabigatran	6 (3.2)	5 (3.0)	0	0.44
Rivaroxaban	5 (2.7)	3 (1.8)	1 (2)	0.82
ACEi	41 (21.8)	70 (41.7)*	16 (31.4)	< 0.01
ARB	31 (17)	24 (14.3)	4 (7.8)	0.25
Statins	55 (29.3)	50 (29.8)	13 (25.5)	0.83
Diuretic	47 (25)	94 (56)*	20 (39.2)	< 0.01
Aspirin	59 (31.4)	62 (36.9)	17 (33.3)	0.54
Clopidogrel	13 (6.9)	10 (6.0)	1 (2.0)	0.41

• ^*
  Difference between the groups with paroxysmal atrial fibrillation and persistent atrial fibrillation;
• ^†
  difference between the groups with flutter and paroxysmal atrial fibrillation. CCB: calcium channel blocker; ACEi: angiotensin-converting enzyme inhibitor; ARB: angiotensin receptor blocker.

Discussion

Several AF registries have described the characteristics of outpatients presenting with this type of arrhythmia, as well as its treatment and prognosis over the years^{14 - 20}. The registry GLORIA-AF²¹, which is currently in progress, aims to investigate the profile of patients with newly-diagnosed AF who are at risk of stroke. In Brazil, the RECALL⁸ is currently under way and aims to provide data on outpatients with AF in our environment.

AF subtypes differ in symptoms²², management¹⁵, prognosis and long-term complications²³. Atrial flutter has a lower prevalence than AF and is associated with an increased incidence of thromboembolic events. As mentioned earlier, the physiopathology of AF and atrial flutter are likely to be interconnected and may represent a different spectrum of the same disease affecting the atrial conduction system^{12 , 13}. Therefore, the registration of the characteristics of patients with flutter is fundamental for the expansion of this knowledge.

The prevalence of PaAF in our study population was comparable to that described in some registries^{15 , 17 , 24}, but significantly higher than the prevalence described in others^{18 - 20 , 25}. This may be due to the heterogeneous presentation of the disease and differences in classification and subtypes.

Unlike other studies that have reported a predominance of males (generally around 60%)^{14 - 20}, in our population the prevalence was equal between genders in both groups with AF. In the flutter group, in turn, the prevalence of males was higher. The mean age of the patients in most reports is between 65 and 70 years, which is comparable to the mean age of our population^{14 , 16 - 19 , 23 - 26}. Similar to reports from other registries^{14 , 21}, our patients with PaAF were on average 5 years younger, which is compatible with the temporal progression of the disease to chronicity. In contrast, patients with atrial flutter were significantly older.

The ejection fraction estimated by echocardiogram was higher in the PaAF group compared with the PeAF group in our registry, which is not surprising, since these patients are older and have more comorbidities. The measurement of the left atrium also differed significantly and was around 6 mm greater in patients with PeAF. This is in line with the natural progression of atrial remodeling and increase in chamber diameter, which is directly proportional to the duration that the atrium remains in fibrillation - "atrial fibrillation begets atrial fibrillation". Nieuwlaat et al.¹⁵ have described similar ejection fractions among the groups, but greater mean atrial measurements in PeAF groups.

The most prevalent cardiovascular comorbidity in our population was hypertension. This is in line with the literature which shows prevalences ranging from 52 to 90%^{15 , 23 , 27}, generally without differences among the groups. However, in our population the PaAF group had lower prevalence of hypertension (56.4% vs. 69.6%). We believe that this difference occurred due to the scenario of clinical emergency, which encompasses both patients with isolated AF who seek care (and who are usually not part of AF registries), as well as those who do not have regular health monitoring and therefore, may not have received a diagnosis for their comorbidities. The CHADS2 and CHA2DS2-VASc scores were lower in patients with PaAF, who also presented fewer comorbidities in other studies^{15 , 22 , 27}. Vanassche et al.²³ found similar CHA2DS2-VASc scores in the PaAF and PeAF groups (13% had a score of 0 to 1, 50% a score of 2 to 3, and 37% a score ≥ 4). However, patients with permanent AF presented higher scores than PaAF and PeAF(7%, 43% and 50%, respectively). Among the comorbidities that comprise the scores, it is worth mentioning the difference in prevalence of cerebral ischemic events between the groups (1.6% in the PaAF group versus 10% in the PeAF group), which has also been reported to a lesser degree by Vanassche, Nieuwlaat and Inoue^{15 , 23 , 27}. This information is possibly associated with the difficulty of the health system to recognize the risk of thromboembolic events in these patients and to offer appropriate preventive treatment.

Oral anticoagulation was prescribed to 44.6% of the patients with PeAF and only 21.3% of the patients with PaAF, despite the fact that 72.5% of the patients presented with CHA2DS2-VASc ≥ 2. In the reviewed literature, the prescription of oral anticoagulation on hospital discharge was also lower in patients with PaAF (51 vs. 80%¹⁴, 55 vs. 74%²², 78 vs. 91%²⁶ ). In a Swiss registry of outpatients with AF seen by cardiologists, prescription of anticoagulants reached 88% in patients with a CHADS2 score ≥ 1. However, 57% of the patients with a score of zero also received anticoagulants, which limits the interpretation of this information²⁸. In our population, prescription of anticoagulants was low both in patients without an indication of receiving them for AF (10%) and in higher-risk patients with a CHA2DS2-VASc score ≥ 2 (40%). When this population was compared with patients at an anticoagulation clinic at our institution²⁹, the INR showed lower median results and was below the therapeutic target in the three subgroups (1.50 in the PaAF group, 1.63 in the PeAF group and 1.63 in the flutter group). Possible explanations for this finding include (1) the presence of patients on anticoagulation for mechanical prosthetic heart valve at our outpatient clinic, a situation in which INR is recommended to be maintained at higher levels³⁰, and (2) the possibility of the patients seeking the emergency service being more prone to misuse of anticoagulant medication. It is important to note that our institution is a tertiary referral center in cardiology and that the population that seeks the emergency service is most followed up in our clinics. Since the prescription of anticoagulants is a decision that involves multiple factors, including social factors, patients in whom anticoagulation is indicated are often referred to health centers for careful evaluation in a non-hospital environment.

The most frequently used drugs to control rhythm and frequency were beta-blockers, followed by digitalis and amiodarone. This same sequence also lead the preferences in other studies^{15 , 23 , 25}. As expected, propafenone presented a trend for more frequent use in PaAF, whereas digoxin and calcium channel blockers were more commonly used in the PeAF group, which also had a higher prevalence of HF. Among previously used drugs, angiotensin-converting enzyme inhibitors and diuretics were also used more frequently in the PeAF group, probably due to the higher prevalence of comorbidities in this group. The prevalences of aspirin (~34%) and clopidogrel (~6.5%) use did not differ among the groups and was similar to those in other series^{15 , 27}.

Limitations of our study include (1) lack of proper registration of the duration of the flutter, which did not occur with the AF. With that, the risk profile intermediate between PaAF and PeAF found in patients with flutter may be due to a heterogeneity of the patients in this group; (2) the possibility of a bias in the registry as a result of underreported data, which is characteristic of studies with data collected retrospectively from medical records; and (3) underestimation of the problem, since patients with AF may have received a different ICD as the main reason for admission. Unfortunately we did not have sufficient data to calculate the time in therapeutic INR, but we used as a substitute the available INR result from the last appointment to analyze the quality of the oral anticoagulation.

Conclusion

To the extent of our knowledge, this is the first Brazilian study to evaluate the population of patients presenting to the emergency with flutter or AF. The recognition of the clinical characteristics of flutter is recommended by the North American and European guidelines for management of supraventricular arrhythmias, since there are no accurate data on the magnitude of the increased risk of thromboembolic events associated with this pathology. Our patients with flutter often presented epidemiological profiles and comorbidities intermediate with those in patients with paroxysmal atrial fibrillation and permanent atrial fibrillation. We believe that these findings support the hypothesis that the two arrhythmias are interconnected by common pathophysiological mechanisms, since they occur in patients with similar profiles.

Patients with persistent atrial fibrillation in our registry had more comorbidities and worse echocardiographic parameters, which explains in part the greater prevalence of use of multiple medications.

Unlike other registries, the population in our study comprised exclusively of patients seeking the emergency service due to AF or atrial flutter. Considering that most direct and indirect expenses with AF are specifically associated with hospitalization, we believe that knowledge of the clinical characteristics of patients with AF in this environment should assist the implementation of measures to improve the care of patients in the public health system. The prevalence of anticoagulated patients was lower than expected and represents perhaps the first point to be addressed. Ways to address this issue include measures to facilitate the access to specialized anticoagulation clinics and improvement in the communication between the primary and tertiary sectors.

• Sources of Funding
  There were no external funding sources for this study.
• Study Association
  This article is part of the thesis of master submitted by Eduardo Dytz Almeida, from Programa de Pós Graduação em Ciências da Saúde da Fundação Universitaria de Cardiologia do Rio Grande du Sul.

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Publication Dates

• Publication in this collection
  19 May 2015
• Date of issue
  July 2015

History

• Received
  18 Nov 2014
• Reviewed
  03 Feb 2015
• Accepted
  09 Feb 2015