American Journal of Therapeutics 22, 186–194 (2015)
Statin Use and Risk of Atrial Fibrillation or Flutter:
A Population-based Case–Control Study
Giacomo Veronese, BSc, Jonathan Montomoli, MD,* Morten Schmidt, MD,
Erzsebet Horváth-Puhó, MSc, PhD, and Henrik Toft Sørensen, MD, PhD, DMSc
The pleiotropic effects of statins have been suggested to prevent atrial fibrillation onset. We conducted a population-based case–control study using medical databases from Northern Denmark
(population: 1.8 million) to examine the association between statin use and atrial fibrillation or
flutter. We identified 51,374 patients with atrial fibrillation or flutter between 1999 and 2010 and
513,670 matched population controls. We collected data on statin prescriptions redeemed within 90
days (current users) or longer (former users) before the diagnosis date of atrial fibrillation or flutter.
We stratified statin users by duration of exposure, determined by the number of days between first
and last redeemed prescription before the diagnosis date (,365, 365–1094, and $1095 days). We
used conditional logistic regression to compute odds ratios (ORs) and 95% confidence intervals (CIs),
controlling for potential confounders. We defined people without previous statin use as never users
(reference). A total of 7360 (14.3%) cases and 55,699 (10.8%) controls were current statin users.
Among current users (adjusted OR: 0.96, 95% CI, 0.93–0.99), the preventive effect of statins on atrial
fibrillation or flutter was related to duration of use: adjusted ORs decreased from 1.35 (95% CI, 1.28–
1.42) for users who were prescribed statins for ,365 days to 0.85 (95% CI, 0.81–0.89) for users who
were prescribed statins for $1095 days compared with never users. For former users (adjusted OR:
0.94, 95% CI. 0.90–0.98), the ORs did not change with varying lengths of exposure. In conclusion,
long-term statin use may reduce the risk of atrial fibrillation or flutter compared with never use.
Keywords: statin, atrial fibrillation, prevention, epidemiology
INTRODUCTION
Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
The Department of Clinical Epidemiology, Aarhus University
Hospital, receives funding for other studies from companies in
the form of research grants to (and administered by) Aarhus University. None of these studies has any relation to the present study.
The study was supported by the Clinical Epidemiology Research
Foundation, Denmark. These funding sources had no role in the
design, conduct, analysis, or reporting of this study.
The authors have no conflicts of interest to declare.
Supplemental digital content is available for this article. Direct
URL citations appear in the printed text and are provided in the
HTML and PDF versions this article on the journal’s Web site
(www.americantherapeutics.com).
*Address for correspondence: Department of Clinical Epidemiology, Aarhus University Hospital, Olof Palmes Alle 43-45, Aarhus
N DK-8200, Denmark. E-mail:
[email protected]
Hydroxymethylglutaryl-coenzyme A reductase inhibitors, commonly known as statins, represent the cornerstone of blood cholesterol-lowering therapy, and
thus they are unequivocally associated with a substantial reduction in cardiovascular morbidity and
mortality.1,2
Atrial fibrillation is the most common arrhythmia
encountered in clinical practice,3 with a general population prevalence increasing from 0.5% at age 50–59 years
to above 10% at age 80–89 years.4 Atrial fibrillation is
associated with increased mortality and morbidity,5–7
mainly due to hemodynamic impairments and thromboembolic events.8 Projections based on population-based
studies in the United States indicate that the number of
patients with atrial fibrillation may triple by 2050.9 Thus,
there is a significant need for primary prevention.
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187
Statin Use and Atrial Fibrillation
Recent evidence suggests that the pleiotropic effects
of statins may become the rationale for statin use in
preventing and treating atrial fibrillation.10 Results
from a UK case–control study based on the General
Practice Research Database suggest that statin use
may have a sustained protective effect against atrial
fibrillation onset.11 Other studies have investigated
the effects of statin use on atrial fibrillation occurrence
in subgroups of patients with congestive heart failure,
hypertension, acute coronary syndrome, stroke, or
paroxysmal atrial fibrillation, and after surgery, permanent pacing, cardioversion, or pulmonary vein
ablation. These results were inconsistent and varied
according to the patient population examined.12,13
In addition, recent meta-analyses of the preventive
effects of statins on atrial fibrillation reported heterogeneous findings.14–19 We therefore conducted a large
population-based case–control study to investigate
whether statin use was associated with the prevention
of atrial fibrillation or flutter.
MATERIALS AND METHODS
We conducted this population-based case–control
study in northern Denmark, within a population of
1.8 million inhabitants (approximately 33% of the total
Danish population).20 Denmark has a tax-financed
health care system, providing unfettered access to general practitioners and hospitals and partial reimbursement for prescribed drugs, including statins. Each
Danish resident is registered in the Danish Civil Registration System at birth or upon immigration and is
assigned a unique personal identification number
(CPR number), which permits accurate linkage among
all Danish administrative and medical registries. Since
1968, the Civil Registration System, which is updated
daily, has collected vital statistics on the Danish population, including changes in address, date of emigration, and date of death.21
We searched the Danish National Registry of Patients
(DNRP) to identify all patients with a first-time diagnosis of atrial fibrillation or flutter from January 1, 1999,
through December 31, 2010. Since 1977, the DNRP has
recorded information on all nonpsychiatric hospital
admissions and, since 1995, also on outpatient and
emergency visits. Diagnoses are coded according to
the International Classification of Diseases (ICD, 8th revision until the end of 1993 and 10th revision thereafter).22
Because atrial fibrillation and flutter share the same risk
factors and to some degree pathophysiology,23,24 we
combined the diagnoses for the 2 diseases into 1
entity.25 We considered the date of the first diagnosis
of atrial fibrillation or flutter as the index date for cases.
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We restricted the study to patients who had resided in
Denmark for 365 days or more before the index date, to
ensure at least 1 year of prescription history.
For each case, we selected from the Danish Civil Registration System 10 population controls matched on age,
gender, and county of residence.21 Controls were chosen using risk set sampling26 and assigned an index
date identical to that of the corresponding case.
Since statins are available in Denmark by prescription only, we used the prescription database to identify
all prescriptions for statins filled by cases and controls
before their index date. Computerized prescription
data are complete for the population of Northern Denmark from 1998 onward. The prescription database
contains information on the type of drug, coded according to the Anatomical Therapeutic Chemical classification (ATC), fill date, number of packages redeemed,
and dosage.20 We defined current and former statin
users according to the time elapsed between the last
statin prescription and the index date: Current users
were persons who redeemed their most recent prescription within 90 days before the index date and former
users were persons whose most recent statin prescription was redeemed more than 90 days before the index
date. We further categorized current users in 2 groups:
new users, defined as current users who filled their
first-ever statin prescription 90 days or less before the
index date, and long-term users, defined as current
users who filled their first statin prescription more than
90 days before the index date. The advantages of the
so-called new user design have been discussed previously.27 Never users were defined as persons with no
filled prescriptions for statins registered in the prescription database.
Data on potential confounding factors were collected from the DNRP and the prescription database.
We searched the DNRP starting with 1977 for any
diagnosis before the index date of diseases associated
with an increased risk of atrial fibrillation or flutter
(Table 1).6,28 We searched the prescription database from
1998 onward for any redeemed prescriptions for drugs
associated with atrial fibrillation or flutter (Table 1).25,29,30
We also used the DNRP to collect information on all
cardioversions performed within 1 year after the index
date. (see Appendix, Supplement Digital Content 1,
which reports ICD and ATC codes used in the study,
available at http://links.lww.com/AJT/A12).
Statistical analysis
We first tabulated the frequency and proportion of
cases with atrial fibrillation or flutter and population
controls within categories of demographic characteristics, potential confounding factors, and statin exposure (Table 1). Using conditional logistic regression,
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188
Veronese et al
Table 1. Characteristics of patients with atrial fibrillation or flutter and controls. Northern Denmark, 1999–2010.
Characteristics
Gender
Female
Age groups (yr)
0–49
50–59
60–69
70–79
$80
Use of statins
Current
New
Long-term
Former
Never
Comorbidity
Alcoholism*
Cancer†
Cardiovascular disease‡
Hospital diagnosis†
Chronic kidney disease†
COPD or asthma‡
Diabetes mellitus‡
IBD†
Hyperthyroidism‡
Liver disease or chronic pancreatitis†
Hyperlipidemia‡
Drugs
Cardiovascular drugs§
ACE or A2R inhibitors
Acetylsalicylic acid
Beta-blockers
CCBs
Diuretics
Nitrates
Digoxin
Vitamin K antagonists
Other antihypertensives
Current use of oral glucocorticoids¶
Non-aspirin NSAIDs¶
Cases, n (%), Total: 51,374
Population controls, n (%), Total: 513,670
23,635 (46.0)
236,350 (46.0)
2352
5031
10,313
15,507
18,171
10,288
7360
932
6428
2928
41,086
(4.6)
(9.8)
(20.1)
(30.2)
(35.4)
(20.0)
(14.3)
(1.8)
(12.5)
(5.7)
(80.0)
23,520
50,310
103,130
155,070
181,640
78,884
55,699
3221
52,478
23,185
434,786
(4.6)
(9.8)
(20.1)
(30.2)
(35.4)
(15.4)
(10.8)
(0.6)
(10.2)
(4.5)
(84.6)
1803
7332
42,306
19,937
1583
13,559
5447
465
2644
525
2885
(3.5)
(14.3)
(82.3)
(38.8)
(3.1)
(26.4)
(10.6)
(0.9)
(5.1)
(1.0)
(5.6)
12,240
55,814
312,198
115,317
6475
92,400
38,273
3598
16,563
3363
17,346
(2.4)
(10.9)
(60.8)
(22.4)
(1.3)
(18.0)
(7.5)
(0.7)
(3.2)
(0.7)
(3.4)
41,793
18,665
23,889
20,494
15,792
29,312
10,819
8347
8773
1614
3633
5727
(81.4)
(36.3)
(46.5)
(39.9)
(30.7)
(57.1)
(21.1)
(16.2)
(17.1)
(3.1)
(7.1)
(11.1)
308,466
131,521
161,046
110,772
105,407
206,221
64,150
16,170
14,029
10,641
15,775
43,747
(60.1)
(25.6)
(31.4)
(21.6)
(20.5)
(40.1)
(12.5)
(3.1)
(2.7)
(2.1)
(3.1)
(8.5)
*Alcoholism-related disorders other than those affecting the liver or pancreas.
†Any hospital discharge diagnosis recorded in the Danish National Registry of Patients since 1977.
‡Any redeemed prescription recorded in the prescription database since 1998.
§Any hospital discharge diagnosis since 1977 or any redeemed prescription since 1998 of associated drugs.
¶Prescription redemption within 60 days before the index date.
A2R, angiotensin-2 receptor; ACE, angiotensin-converting enzyme; CCB, calcium channel blockers; COPD, chronic obstructive pulmonary disease; IBD, inflammatory bowel disease; NSAIDs, nonsteroidal anti-inflammatory drugs.
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189
Statin Use and Atrial Fibrillation
we computed odds ratios (ORs) with 95% confidence
intervals (CIs) associating current statin use, including
new and long-term use, and former statin use with the
occurrence of atrial fibrillation and flutter. As we used
risk set sampling, these ORs provide unbiased estimates of the incidence rate ratios.26 We fitted several
logistic regression models to adjust for the potential
confounders listed in Table 1.
We then repeated the analysis in predefined subgroups
of sex, age (#49, 50–59, 60–69, 70–79, and $80 years),
presence or absence of chronic kidney disease, cardiovascular disease (overall, acute myocardial infarction,
stroke, and heart failure), diabetes, and hyperlipidemia.
In this analysis, we disregarded the matching used to
collect population controls and performed conventional
logistic regression with additional adjustments for the
matching factors.
To investigate the association between different
duration of statin use and atrial fibrillation or flutter,
we stratified all current and former statin users by
duration of exposure. Duration of use was determined
by counting the number of days between the dates of
the first and the last prescription redemption before
the index date (,365, 365–1094, and $1095 days).
To examine a possible dose–response relation, we
stratified by intensity of statin use. We defined intensity of use as the number of pills prescribed multiplied
by drug dosage (in milligrams) divided by the total
duration of use (in days). Intensity was classified as
low-intensity (lower quartile: #16.3 mg/d), mediumintensity (interquartile range: 16.4–41.1 mg/d), and
high-intensity (upper quartile: $41.2 mg/d).
To explore whether the associations depended on statin type, we repeated the analysis for the most frequently used lipophilic and hydrophilic statins in
Denmark, which are simvastatin/atorvastatin and pravastatin/rosuvastatin, respectively.
As a sensitivity analysis, we repeated the adjusted
analyses changing the exposure window for current
and former users from 90 days to 60, 120, or 180 days.
Finally, as a measure of severity, we performed a subanalysis limited to atrial fibrillation or flutter cases
undergoing cardioversion within 1 year after their first
arrhythmic episode. We used SAS software (version
9.2; SAS Institute, Cary, NC) for all analyses.
RESULTS
We identified 51,374 patients with atrial fibrillation or
flutter and 513,670 population controls. The median
age was 75 years, and 46% were women. A total of
7360 (14.3%) cases and 55,699 (10.8%) controls were
current statin users, 2928 (5.7%) cases and 23,185
(4.5%) controls were former users, and 41,086 (80.0%)
cases and 434,786 (84.6%) controls were never users.
Among cases, 42,306 (82.3%) had been diagnosed previously with cardiovascular disease compared with
312,198 (60.8%) controls. All other comorbidities considered in the analysis also occurred more frequently
among cases than controls.
Risk of atrial fibrillation or flutter
The adjusted OR associating statin use with atrial
fibrillation or flutter was 0.96 (95% CI, 0.93–0.99) for
current users and 0.94 (95% CI, 0.90–0.98) for former
users compared with never users (Table 2). Among
current users, the adjusted OR was 2.14 (95% CI,
1.98–2.32) for new users and 0.88 (95% CI, 0.85–0.91)
for long-term users.
After stratifying the analysis by presence or absence
of chronic kidney disease, cardiovascular disease
(overall, acute myocardial infarction, stroke, and heart
failure), diabetes, and hyperlipidemia, adjusted ORs
among new users remained elevated in all subgroups
(Figure 1). In contrast, among long-term users, statin
use seemed to be more protective in patients with
a previous diagnosis of acute myocardial infarction,
stroke, heart failure, and diabetes than among patients
without these comorbidities (Figure 1). Moreover, the
Table 2. Association between statin use and atrial fibrillation or flutter.
OR (95% CI)
Number of cases,
n 5 51,374
Number of controls,
n 5 513,670
41,086
7360
932
6428
2928
434,786
55,699
3221
52,478
23,185
Never users
Current users
New users
Long-term users
Former users
Unadjusted*
1.00
1.48
3.17
1.36
1.39
(reference)
(1.44–1.52)
(2.94–3.43)
(1.32–1.41)
(1.33–1.45)
Adjusted†
1.00
0.96
2.14
0.88
0.94
(reference)
(0.93–0.99)
(1.98–2.32)
(0.85–0.91)
(0.90–0.98)
*Matched on age, gender and county of residence.
†Adjusted for all covariates listed in Table 1.
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190
Veronese et al
FIGURE 1. Association between use of statins and atrial fibrillation or flutter in patients with or without specific
comorbidities. Estimates are computed using conventional logistic regression and adjusted for age, sex, and county
of residence and for all covariates listed in Table 1. AMI, acute myocardial infarction; CHF, chronic heart failure; CKD,
chronic kidney disease; TIA, transient ischemic attack.
protective effect among long-term users seemed to be
most pronounced in the youngest age groups, with
ORs being 0.70 (95% CI, 0.51–0.95) for patients younger than 50 years and 0.88 (95% CI, 0.83–0.94) for those
aged 80 years or older (data not shown). Sex did not
modify the effect estimates.
For current users, the effect of statins on preventing
atrial fibrillation or flutter was related to duration of
use: Adjusted ORs decreased from 1.35 (95% CI, 1.28–
1.42) for users who were prescribed statins for less
than 365 days to 0.85 (95% CI, 0.81–0.89) for users
who were prescribed statins for more than 1095 days
(Table 3). For former users, ORs did not change with
varying length of exposure.
Stratifying on intensity of use also did not substantially change the effect estimates for new, long-term, or
former users (Table 4). When we repeated the analyses
for the most frequently used statins in Denmark, we
found no substantial difference in the ORs (data not
shown). Altering the exposure window used to define
current and former users did not markedly affect our
findings either (Table 5).
The results of the subanalysis restricted to cases
undergoing cardioversion within 1 year after the first
episode of atrial fibrillation or flutter and their controls
also supported our main findings. Among the 5627
cases (10.9%) treated with cardioversion within 1 year
after their first atrial fibrillation or flutter diagnosis, the
Table 3. Duration of statin use and risk of atrial fibrillation and flutter.
OR (95% CI)
Never users
Current users
,365 d
365–1094 d
$1095 d
Former users
,365 d
365–1094 d
$1095 d
Number of cases, n 5 51,374
Number of controls, n 5 513,670
Unadjusted*
Adjusted†
41,086
7360
2014
1918
3428
2928
1106
769
1053
434,786
55,699
10,948
16,699
28,052
23,185
8465
6404
8316
1.00 (reference)
1.00 (reference)
2.02 (1.92–2.12)
1.26 (1.20–1.33)
1.36 (1.30–1.41)
1.35 (1.28–1.42)
0.84 (0.80–0.89)
0.85 (0.81–0.89)
1.41 (1.32–1.51)
1.31 (1.22–1.42)
1.41 (1.32–1.51)
0.97 (0.91–1.04)
0.87 (0.81–0.95)
0.92 (0.85–0.99)
Duration of use was defined as the number of days from the date of the first prescription to the date of the last prescription before the
index date.
*Matched on age, gender, and county. Unadjusted for other covariates.
†Adjusted for all covariates listed in Table 1.
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191
Statin Use and Atrial Fibrillation
Table 4. Intensity of statin use and risk of atrial fibrillation or flutter.
OR (95% CI)
Number of cases,
n 5 51,374
Number of controls,
n 5 513,670
41,086
7360
1659
3605
2096
932
167
207
558
6428
1492
3398
1538
2928
835
1261
832
434,786
55,699
12,867
29,174
13,658
3221
631
825
1765
52,478
12,236
28,349
11,893
23,185
6869
10,614
5702
Never users
Current users
Low-intensity
Medium-intensity
High-intensity
New users
Low-intensity
Medium-intensity
High-intensity
Long-term users
Low-intensity
Medium-intensity
High-intensity
Former users
Low-intensity
Medium-intensity
High-intensity
Unadjusted*
Adjusted†
1.00 (reference)
1.00 (reference)
1.41 (1.33–1.48)
1.38 (1.33–1.43)
1.70 (1.62–1.79)
0.92 (0.87–0.98)
0.88 (0.84–0.92)
1.13 (1.07–1.19)
2.90 (2.43–3.46)
2.72 (2.32–3.19)
3.52 (3.18–3.89)
2.01 (1.67–2.40)
1.84 (1.56–2.16)
2.36 (2.12–2.62)
1.33 (1.25–1.40)
1.33 (1.28–1.39)
1.43 (1.36–1.52)
0.87 (0.81–0.92)
0.85 (0.81–0.89)
0.94 (0.88–1.00)
1.34 (1.24–1.44)
1.31 (1.23–1.39)
1.58 (1.46–1.71)
0.91 (0.84–0.98)
0.87 (0.82–0.93)
1.05 (0.97–1.14)
Intensity was defined as a measure of the number of pills prescribed multiplied by the dosage of the drug and divided by the time from
the first prescription to the last prescription before the index date (mg/d).
*Matched on age, gender, and county. Unadjusted for other covariates.
†Adjusted for all covariates listed in Table 1.
adjusted OR was 0.87 (95% CI, 0.79–0.96) for current
users and 0.80 (95% CI, 0.69–0.92) for former users
(data not shown). Among current users, the adjusted
OR was 2.05 (95% CI, 1.61–2.60) for new users and
0.79 (95% CI, 0.71–0.87) for long-term users (data not
shown).
DISCUSSION
In this large, population-based case–control study,
long-term statin users had a reduced rate of atrial
fibrillation or flutter compared with never users. The
association was strongest among those who had used
Table 5. Sensitivity analysis of the impact of different exposure windows for current versus former users on the
association between statin use and atrial fibrillation or flutter.
Adjusted ORs (95% CI)*
Exposure window†
60 d
Never users
Current users
New users
Long-term users
Former users
1.00
0.96
2.38
0.87
0.95
(reference)
(0.93–1.00)
(2.17–2.62)
(0.84–0.91)
(0.91–0.98)
90 d
1.00
0.96
2.14
0.88
0.94
(reference)
(0.93–0.99)
(1.98–2.32)
(0.85–0.91)
(0.90–0.98)
120 d
1.00
0.97
1.96
0.88
0.93
(reference)
(0.94–0.99)
(1.82–2.10)
(0.85–0.91)
(0.88–0.98)
180 d
1.00
0.96
1.73
0.87
0.93
(reference)
(0.93–0.99)
(1.63–1.85)
(0.84–0.89)
(0.87–0.99)
*Adjusted for all covariates listed in Table 1.
†Time between most recent statin prescription and index date.
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192
statins for more than 1 year, which indicates a possible
long-term protective effect of statins against atrial
fibrillation or flutter. Clinically important, the protective effect was prominent among patients with cardiovascular diseases and diabetes.
The strengths of our study include its populationbased design and setting within a free tax-supported
universal healthcare system, which greatly reduced
the risk of referral and diagnostic biases. We also controlled for several important risk factors for atrial
fibrillation and flutter.28,29 The positive predictive
value of a diagnosis of atrial fibrillation and flutter
has been estimated to be 97% in the DNRP.31 Moreover, data on the other confounding variables have
high coding accuracy,32,33 and the prescription database has virtually no missing data.20
Our study also has limitations. We used redeemed
prescriptions as a surrogate for actual statin use. Thus,
any nonadherence would bias our estimates toward the
null. However, a previous validation study showed good
correlation between general practitioner–reported medication use and timing of prescription dispensation.34 In
addition, changes in the exposure window used to distinguish current users from former users did not produce
relevant differences in our results. Although, we could
not differentiate atrial fibrillation from atrial flutter, we
know from a previous study that approximately 92% of
these patients had atrial fibrillation.31
Surveillance bias also may have affected our results,
that is, diagnoses of atrial fibrillation or flutter may be
more common among statin users than among never
users because users are more likely to undergo routine
physical examinations. This bias might have led to
underestimation of the preventive effect of statins on
atrial fibrillation or flutter occurrence among statin
users compared with never users. As well, inclusion
of prevalent cases might have affected our results for
new users and for those who were prescribed statins
for less than 365 days. The finding that risk estimates
for new users decreased as the time window of exposure was extended supports this hypothesis. Another
concern is that we were unable to differentiate paroxysmal, persistent, and permanent atrial fibrillation.
However, the restriction to cases who underwent cardioversion within 1 year after the first atrial fibrillation
or flutter diagnosis did not change the results.
Our results may also have been affected by confounding from unmeasured factors, such as lifestyle,
socioeconomic status, smoking, and body mass index.
Nevertheless, we adjusted for lifestyle-related diseases
such as alcoholism, diabetes, cancer, chronic obstructive pulmonary disease, and asthma. In addition,
a recent Danish cross-sectional study found no differences in smoking and alcohol consumption between
American Journal of Therapeutics (2015) 22(3)
Veronese et al
statin users and nonusers.35 Conversely, statin users
were found to have a slightly higher body mass index
than persons who did not take statins.
Our study is largely consistent with a recent UK
case–control analysis including 55,412 patients from
the General Practice Research Database diagnosed
with new-onset atrial fibrillation between 1987 and
2007.11 Among statin users, 7144 were classified as
current users (prescribed statins in the 3 months before
the atrial fibrillation diagnosis), 597 as recent users
(prescribed statins 3–12 months before the atrial fibrillation diagnosis), and 571 as past users (last statin prescription more than 12 months before the atrial
fibrillation diagnosis). Compared with never users,
a 15%–20% protective effect was found among current
users (OR: 0.82, 95% CI, 0.73–0.92) and past users (OR:
0.84, 95% CI, 0.75–0.94). The effect among recent users
was not statistically significant (OR: 0.94, 95% CI, 0.84–
1.05). However, the study may have underestimated
the protective effect among both current and recent
users, due to the lack of a new user design.27 Similarly,
since no information regarding a possible association
between different duration of statin use and atrial
fibrillation or flutter was reported, the study did not
reveal the long-term protective effect of statins on
atrial fibrillation development. Furthermore, the study
did not stratify the analyses by sex, age, and presence
or absence of major comorbidities.
Likewise, a recent meta-analysis of 11 randomized
controlled trials (14,090 patients, 875 events) investigating the association between statin therapy and
atrial fibrillation found that when used for primary
prevention, statins have a preventive effect on atrial
fibrillation (OR: 0.54; 95% CI, 0.40–0.74).19 However,
most of the trials included in the analysis investigated
the use of statins in prevention of atrial fibrillation in
patients with cardiac surgery, and the results may not
apply to other patient categories.
In our study, we found that new users were at
increased risk of atrial fibrillation and flutter compared
with never users. Although this result might be
explained both by the presence of confounding by indication (eg, acute coronary syndromes)36 and inclusion of
prevalent cases, we cannot exclude the existence of
a fast-acting adverse effect. To our knowledge, there is
only one case report study suggesting that transient
atrial fibrillation can be induced by the administration
of simvastatin.37 However, data from 13 randomized
controlled short-term trials (mean follow-up varied from
18 to 153 days), including 4414 randomized patients
mostly undergoing cardiac surgery or electrical cardioversion, support the hypothesis that statin treatment
reduces the odds of an atrial fibrillation episode (OR:
0.61, 95% CI, 0.51–0.74) even in the short term.15
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Statin Use and Atrial Fibrillation
Although our data cannot elucidate the mechanism
underlying our findings, the statin-induced attenuation of the electrical and structural atrial remodeling
that contributes to the development of atrial fibrillation may explain the preventive effect of a long-term
use of statins on atrial fibrillation onset.10 In addition,
recent evidence on canine pulmonary vein sleeve preparations suggests that simvastatin exerts a direct antiarrhythmic effect by suppressing triggers responsible
for the genesis of atrial fibrillation.38 In conclusion, our
findings suggest that long-term statin use may have
a preventive effect against new-onset atrial fibrillation
or flutter.
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