Literature DB >> 24275628

Effect of sleep apnea and continuous positive airway pressure on cardiac structure and recurrence of atrial fibrillation.

Tomas G Neilan1, Hoshang Farhad, John A Dodson, Ravi V Shah, Siddique A Abbasi, Jessie P Bakker, Gregory F Michaud, Rob van der Geest, Ron Blankstein, Michael Steigner, Roy M John, Michael Jerosch-Herold, Atul Malhotra, Raymond Y Kwong.   

Abstract

BACKGROUND: Sleep apnea (SA) is associated with an increased risk of atrial fibrillation (AF). We sought to determine the effect of SA on cardiac structure in patients with AF, whether therapy for SA was associated with beneficial cardiac structural remodelling, and whether beneficial cardiac structural remodelling translated into a reduced risk of recurrence of AF after pulmonary venous isolation (PVI). METHODS AND
RESULTS: A consecutive group of 720 patients underwent a cardiac magnetic resonance study before PVI. Patients with SA (n=142, 20%) were more likely to be male, diabetic, and hypertensive and have an increased pulmonary artery pressure, right ventricular volume, atrial dimensions, and left ventricular mass. Treated SA was defined as duration of continuous positive airway pressure therapy of >4 hours per night. Treated SA patients (n=71, 50%) were more likely to have paroxysmal AF, a lower blood pressure, lower ventricular mass, and smaller left atrium. During a follow-up of 42 months, AF recurred in 245 patients. The cumulative incidence of AF recurrence was 51% in patients with SA, 30% in patients without SA, 68% in patients with untreated SA, and 35% in patients with treated SA. In a multivariable model, the presence of SA (hazard ratio 2.79, CI 1.97 to 3.94, P<0.0001) and untreated SA (hazard ratio 1.61, CI 1.35 to 1.92, P<0.0001) were highly associated with AF recurrence.
CONCLUSIONS: Patients with SA have an increased blood pressure, pulmonary artery pressure, right ventricular volume, left atrial size, and left ventricular mass. Therapy with continuous positive airway pressure is associated with lower blood pressure, atrial size, and ventricular mass, and a lower risk of AF recurrence after PVI.

Entities:  

Keywords:  atrial fibrillation; cardiac magnetic resonance; sleep apnea

Mesh:

Year:  2013        PMID: 24275628      PMCID: PMC3886742          DOI: 10.1161/JAHA.113.000421

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Introduction

There are strong epidemiological data linking sleep apnea (SA) and atrial fibrillation (AF).[1-2] SA is a relatively common condition with a prevalence of almost 20% among adults in the United States, and the burden is increasing.[3-4] Adverse cardiovascular outcomes are common in patients with SA[1] and include hypertension,[5] stroke,[1] heart failure,[6] and the occurrence of AF.[2] AF is the most common cardiac rhythm disorder in SA,[7] and the complex interplay between AF and SA has led to calls for further investigation.[8-9] Approximately 50% of patients with AF are likely to have SA,[2] and recurrence rates of AF are higher with either medical therapy or electrical cardioversion in patients with SA.[10-11] Catheter ablation offers a viable alternative in symptomatic patients who are refractory to pharmacological therapy,[12-13] and the use of catheter ablation is increasing.[14] Data suggest that the presence of SA has an effect on the therapeutic success of pulmonary vein isolation (PVI) for AF.[15-18] However, the mechanisms through which SA increases the risk of AF are unclear. Specifically, there are limited data testing the interplay among SA, adverse cardiac structural remodeling, and the risk for recurrence of AF. Furthermore, there are limited data testing whether therapy for SA is associated with a beneficial effect on cardiac structural remodeling among patients with AF. We hypothesized that SA would be associated with adverse cardiac structural remodeling, that therapy for SA would be associated with a beneficial effect on cardiac structure, and that the treatment of SA would reduce the incidence of AF recurrence after PVI.

Methods

We prospectively collected data on all consecutive patients from September 2005 through June 2011 who underwent a cardiac magnetic resonance (CMR) study before PVI at a single institution (Brigham and Women's Hospital). The study indication was specifically for identification of pulmonary vein anatomy before planned PVI for treatment of recurrent AF. Our institutional practice is for all patients with AF, without standard contraindications to the performance of a magnetic resonance study, to undergo a CMR study before PVI to identify pulmonary vein anatomy.[19] Contraindications to a contrast CMR study include the presence of a permanent pacemaker, any metallic hazards, severe claustrophobia, and severe impairment of renal function (glomerular filtration rate <30 mL/min per 1.73 m2). Separation into paroxysmal and persistent AF was defined as consistent with guidelines.[20] Heart failure was defined as a clinical history of heart failure or reduced ejection fraction (EF). Participants were defined as having a prior myocardial infarction when a history of myocardial infarction was supported by hospital records or when there was evidence by ECG criteria (Minnesota codes 1.1.1 to 1.2.8).[21] All patients undergoing a first CMR study before PVI were included; this included patients who had a prior failed PVI at another institution or if they did not undergo a CMR study before the previous procedure. The presence or absence of SA was prospectively determined before PVI with the use of a standardized questionnaire administered to all patients. All patients diagnosed with SA had undergone formal sleep studies. The diagnosis of SA was established in accordance with the sleep study criteria recommended by the American Academy of Sleep Medicine.[22] Data regarding the extent of use of continuous positive airway pressure (CPAP) were obtained from each patient from follow‐up phone interviews. The protocol was approved by the Human Subjects Research Review Committee.

CMR Protocol

All images were acquired with ECG gating, breath‐holding, and the patient in a supine position. Subjects were imaged on either a 1.5‐ or 3.0‐T CMR system (Signa CV/I HDXt platform, General Electric Healthcare, and Tim Trio, Siemens, respectively). The CMR protocol consisted of cine steady‐state free precession imaging for cardiac function and late gadolinium enhancement (LGE) imaging as previously described.[23] A single bolus of 0.15 mmol/kg gadolinium‐diethylenetriamine pentacetate was used. LGE was quantified by a semiautomatic detection method using a previously validated method (Mass Research, Leiden University Medical Center). The mass of left ventricular (LV) LGE is measured in grams, which is then expressed as a percentage of total LV mass. LGE was quantified using regions defined as >50% of maximal signal intensity of the enhanced area (full‐width at half‐maximum).[24] The distribution of LGE was characterized as subendocardial, transmural, mid‐wall, epicardial, or focal/involving the insertion points.

PVI Protocol

For patients with paroxysmal AF, PVI consisted of point‐by‐point radiofrequency ablation to encircle the left and right pulmonary veins or by the use of a cryo‐ballon catheter (Artic Front, Medtronic Inc). In all cases, PVI was confirmed by recording within the veins using a circular multipolar catheter to confirm entrance block into the veins. For patients with persistent AF, additional linear left atrial (LA) ablations were performed in addition to PVI. Often, this consisted of linear ablations to create conduction block across the LA roof, and along the region between the lateral mitral annulus and left inferior pulmonary vein.[25] Areas of complex fractionated electrograms during AF were also targeted for ablation. If sinus rhythm could not be restored with ablation alone, administration of ibutilide or external cardioversion was performed to restore sinus rhythm.

Methods of Clinical Follow‐up

The outcome of interest was recurrence of AF, which was defined as AF occurring >3 months after PVI and confirmed by either ECG or prolonged cardiac monitoring. Patients underwent ECG testing at all clinical visits; routine prolonged cardiac monitoring was performed in the patients reporting symptom consistent with AF. Patients were followed post procedure monthly for the first 3 months and then at 3‐ to 6‐month intervals for the first 2 years, all via clinic visits. The duration of follow‐up was determined from the CMR study date to the occurrence of an end point. If a recurrence of AF did not occur, patients were censored at the date of last clinical follow‐up.

Statistical Analysis

Continuous data are presented as mean±SD. Continuous data were compared using an unpaired Student t test or Mann–Whitney nonparametric test as appropriate. Nominal data are presented as number and percentages and were compared with a χ2 test. The hazard ratio for the prediction of AF was calculated using a Cox regression model. The Cox regression model consisted of the following clinical variables (age, sex, a history of diabetes, heart failure, and hypertension, LA size, body mass index, LVEF, and the use of a statin or angiotensin‐converting enzyme inhibitor) and a variable that indicated status of SA treatment. To confirm that the proportional hazards assumption was met, we tested the proportional hazards assumption of the relationship between SA and recurrent AF over time by creating an interaction term in our model for time. The effect estimate for the interaction term was not statistically significant (P=0.14). Patients with SA were separated into 2 groups based on the median time of treatment with CPAP. Nontreated SA was defined as CPAP duration of less than this median duration of therapy of 4 hours. Event curves were determined according to the Kaplan–Meier method, and comparisons of cumulative event rates were performed by using the log‐rank test. A 2‐tailed P value of <0.05 was considered significant for all other analyses. SAS was used for statistical analysis (SAS Institute Inc).

Results

Study Cohort Characteristics

In total, 720 consecutive patients were referred for a CMR in preparation for PVI. Cohort characteristics for the entire cohort and separated according to the presence or absence of SA are presented in Table 1. In brief, in the entire cohort, there were 531 men (74%) with an average age of 56±11 years (range 24 to 85 years). Patients presented a median of 49 months after the first symptomatic onset of AF (range 12 months to 12 years); 472 (65%) patients had persistent AF, 250 (35%) had paroxysmal AF, and 459 (65%) patients were in sinus rhythm at the time of the study. Of the total cohort, 142 (20%) were identified as having SA. Other comorbidities included diabetes in 106 (15%) patients and heart failure in 186 (26%). In total, 497 patients (69%) were receiving a class 1 or class 3 antiarrhythmic. SA was diagnosed a median of 26 months (IQR 18 to 31 months) before the CMR study, and median CPAP use per night was 4 hours (range 0 to 8 hours). Nonimaging variables were separated according to the presence or absence of SA (Table 1). Patients with SA were more likely male and to have a history of hypertension and diabetes mellitus. Patients with SA were more likely to be receiving an angiotensin‐converting enzyme inhibitor or an angiotensin II receptor blocker and a diuretic.
Table 1.

Patient Characteristics Stratified by SA

VariableEntire Cohort (720)SA Positive (142)SA Negative (578)P Value
Age, y56 (11)57 (10)56 (11)0.57
Male, n (%)531 (74)115 (81)416 (72)0.03
Duration of AF, median (IQR)49 (29 to 82)50 (27 to 80)50 (29 to 84)0.86
Paroxysmal atrial fibrillation, n (%)249 (35)51 (36)198 (34)0.77
Persistent atrial fibrillation, n (%)471 (65)91 (64)380 (66)0.69
Prior AF ablation, n (%)173 (24)30 (21)143 (25)0.38
Cardiovascular risk factors, n (%)
Diabetes106 (15)33 (23)73 (13)0.002
Hypertension365 (51)90 (63)275 (48)0.0007
Prior myocardial infarction56 (8)12 (8)44 (8)1.00
Heart failure186 (26)42 (30)144 (25)0.29
Sleep apnea142 (20)142 (100)0 (0)
Valvular heart disease77 (11)6 (4)71 (12)0.004
Hyperthyroidism34 (5)5 (4)29 (5)0.66
Hypercholesterolemia240 (33)50 (35)190 (33)0.62
Alcohol excess59 (8)14 (10)45 (8)0.65
Family history AF88 (12)12 (8)76 (13)0.15
Medication, n (%)
Aspirin325 (45)67 (47)258 (45)0.64
β‐Blocker491 (68)98 (69)393 (68)0.84
Calcium channel blocker164 (23)39 (27)125 (22)0.15
ACE/ARB261 (36)64 (45)197 (34)0.02
Class 1 antiarrhythmic162 (23)25 (18)137 (34)0.14
Class 3 antiarrhythmic335 (47)77 (54)258 (45)0.05
Digoxin64 (9)14 (10)50 (9)0.39
Spironolactone19 (3)4 (3)15 (3)0.78
Diuretics126 (18)35 (25)91 (16)0.02
Statin222 (31)44 (31)178 (31)0.61
BMI, kg/m229.5 (5)32.5 (6)29 (5)<0.0001
Systolic blood pressure, mm Hg127 (17)127 (19)127 (17)0.81
Diastolic blood pressure, mm Hg75 (12)77 (11)75 (12)0.06
Heart rate, beats/min73 (17)73 (17)72 (17)0.77
ECG parameters
Sinus rhythm at presentation459 (65)85 (60)374 (65)0.29
AV delay, ms172 (31)177 (32)171 (31)0.18
QRS duration, ms96 (15)96 (13)96 (16)0.77
QTc duration, ms442 (33)442 (31)441 (33)0.61
LVH by ECG (Sokolov criteria)56 (8)16 (11)40 (7)0.11
GFR, mL/min per 1.73 m283 (17)83 (16)83 (17)0.77

All data are number (percentage) or mean (SD) unless otherwise indicated. ACE/ARB indicates angiotensin‐converting enzyme inhibitor/angiotensin II receptor blocker; AF, atrial fibrillation; AV, atrioventricular; BMI, body mass index; GFR, glomerular filtration rate using the Modification of Diet in Renal Disease formula done at the time of the CMR; LVH, left ventricular hypertrophy; SA, sleep apnea.

Patient Characteristics Stratified by SA All data are number (percentage) or mean (SD) unless otherwise indicated. ACE/ARB indicates angiotensin‐converting enzyme inhibitor/angiotensin II receptor blocker; AF, atrial fibrillation; AV, atrioventricular; BMI, body mass index; GFR, glomerular filtration rate using the Modification of Diet in Renal Disease formula done at the time of the CMR; LVH, left ventricular hypertrophy; SA, sleep apnea.

Baseline Imaging Characteristics Separated According to the Presence of SA

Imaging characteristics are presented in Table 2. On echocardiogram, the mean LVEF was 55±10 and estimated pulmonary artery systolic pressure was 29±8 mm Hg among the entire cohort (Table 2). On CMR, the mean LV end‐diastolic volume was 167±42 mL, EF was 56±10%, LV mass indexed to body surface area was 71±12 g, right ventricular (RV) end‐diastolic volume was 163±42 mL, and RVEF was 52±8% (Table 2). Late gadolinium enhancement was present in 108 patients (15%, Table 2). The LGE pattern was mid‐myocardial in 34 (31%), subendocardial in 48 (44%), insertion point in 12 (11%) patients, epicardial in 1 (1%), and transmural in 15 (13%). The average extent of LGE was 6.4±4%. Imaging characteristics of patients were grouped according to the presence or absence of SA (Table 2). Patients with SA had an increased indexed LV mass, higher estimated pulmonary artery systolic pressure, larger LA size, and reduced RVEF compared with patients without SA. Patients with SA had an increased incidence of LGE compared with patients without SA. Patients with SA were more likely to have insertion‐point LGE than were patients without SA; otherwise, there was no difference in the location or extent of LGE between patients with and without SA.
Table 2.

Imaging Characteristics Stratified by SA

VariableTotal Cohort (750)SA Positive (142)SA Negative (578)P Value
Echocardiographic parameters
LVEF, %55 (10)56 (9)55 (11)0.38
LV diastolic dimension, mm49 (5)50 (5)49 (5)0.09
Estimated PASP, mm Hg29 (8)31 (7)28 (8)0.0002
Left atrial dimension, mm41 (6)43 (6)41 (6)0.004
Cardiac magnetic resonance
LVEDV, mL167 (42)174 (43)165 (42)0.05
LVEDV index, mL/m280 (19)80 (20)80 (19)0.90
LVESV, mL74 (28)77 (26)74 (28)0.19
LVESV index, mL/m236 (13)36 (12)36 (13)0.89
LVEF, %56 (10)56 (10)56 (10)0.99
LV mass, g148 (34)164 (34)144 (31)0.006
LV mass index, g/m271 (12)75 (14)70 (12)0.001
RVEDV, mL163 (42)171 (44)161 (41)0.01
RVEDV index, mL/m278 (18)78 (19)78 (18)0.66
RVESV, mL80 (26)87 (27)78 (26)0.0009
RVESV index, mL/m239 (12)40 (11)38 (12)0.19
RVEF, %52 (8)51 (8)53 (8)0.03
Left atrial dimension, mm41 (7)44 (8)40 (7)<0.0001
LV LGE, n (%)108 (15)30 (21)78 (13)0.03
LV LGE FWHM, % of LV mass6.4 (4)6.6 (3)6.3 (4)0.50
LV LGE location
Subendocardial48 (44)12 (44)36 (44)0.63
Transmural15 (13)3 (11)12 (15)0.76
Epicardial1 (1)0 (0)1 (1)0.20
Mid‐myocardial34 (31)7 (26)27 (33)0.63
Insertion points12 (11)8 (6)4 (1)0.0005

All data are number (percentage) or mean (SD) unless otherwise indicated. LGE FWHM indicates late gadolinium enhancement using full‐width half‐maximum method; LV, left ventricular; LVEF, left ventricular ejection fraction; LVEDV, left ventricular end‐diastolic volume; LVESV, left ventricular end‐systolic volume; PASP, pulmonary artery systolic pressure; RVEDV, right ventricular end‐diastolic volume; RVESV, right ventricular end‐systolic volume; RVEF, right ventricular ejection fraction; SA, sleep apnea.

Imaging Characteristics Stratified by SA All data are number (percentage) or mean (SD) unless otherwise indicated. LGE FWHM indicates late gadolinium enhancement using full‐width half‐maximum method; LV, left ventricular; LVEF, left ventricular ejection fraction; LVEDV, left ventricular end‐diastolic volume; LVESV, left ventricular end‐systolic volume; PASP, pulmonary artery systolic pressure; RVEDV, right ventricular end‐diastolic volume; RVESV, right ventricular end‐systolic volume; RVEF, right ventricular ejection fraction; SA, sleep apnea.

Imaging Characteristics Separated According to Therapy of SA

Patients with SA were further divided according to the median CPAP treatment of 4 hours per night (Tables 3 and 4). There were differences in patients' characteristics and imaging variables between SA patients above and below the median duration of CPAP therapy. Patients who received less CPAP therapy were more likely to have persistent than paroxysmal AF and had a higher systolic blood pressure, an increased LV mass, larger LA dimensions, and a lower incidence of subendocardial LGE.
Table 3.

Characteristics of Participants With SA and Stratified by Treatment Group

VariableTotal SA Cohort (142)SA Treated Group (71)SA Untreated Group (71)P Value
Age, y57 (10)56 (9)57 (10)0.60
Male, n (%)115 (81)60 (85)55 (77)0.39
Duration of AF, median (IQR)50 (27 to 80)49 (35 to 84)52 (28 to 73)0.75
Paroxysmal atrial fibrillation, n (%)51 (36)32 (45)19 (27)0.04
Persistent atrial fibrillation, n (%)91 (64)39 (55)52 (73)0.04
Prior AF ablation, n (%)30 (21)11 (15)19 (27)0.15
Cardiovascular risk factors, n (%)
Diabetes33 (23)16 (23)17 (24)1.00
Hypertension90 (63)47 (66)43 (61)0.61
Prior myocardial infarction12 (8)6 (8)6 (8)1.00
Heart failure42 (30)18 (25)24 (34)0.36
Valvular heart disease6 (4)2 (3)4 (6)0.68
Hyperthyroidism5 (4)3 (4)2 (3)1.00
Hypercholesterolemia50 (35)25 (35)25 (35)1.00
Alcohol excess14 (10)9 (13)5 (7)0.40
Family history AF12 (8)6 (8)6 (8)1.00
Medication, n (%)
Aspirin67 (47)37 (53)30 (49)0.31
β‐Blocker98 (69)48 (68)50 (70)0.86
Calcium channel blocker39 (27)20 (28)19 (27)1.00
ACE/ARB64 (45)29 (41)35 (49)0.40
Class 1 antiarrhythmic25 (18)14 (20)11 (15)0.66
Class 3 antiarrhythmic77 (54)36 (51)41 (58)0.51
Digoxin14 (10)7 (10)7 (10)1.00
Spironolactone4 (3)2 (3)2 (3)1.00
Diuretics35 (25)13 (18)22 (31)0.12
Statin44 (31)21 (30)23 (32)0.86
BMI, kg/m232.5 (6)32.3 (6)32.7 (5)0.62
Systolic blood pressure, mm Hg127 (19)124 (17)131 (18)0.03
Diastolic blood pressure, mm Hg77 (11)77 (11)76 (9)0.23
Heart rate, beats/min73 (17)72 (17)74 (18)0.66
ECG parameters
Sinus rhythm at presentation85 (60)44 (62)41 (58)0.73
AV delay, ms177 (32)174 (33)180 (31)0.39
QRS duration, ms96 (13)96 (12)97 (15)0.85
QTc duration, ms442 (31)440 (30)445 (32)0.42
LVH by ECG (Sokolov criteria)16 (11)6 (8)10 (14)0.43
GFR, mL/min per 1.73 m283 (16)81 (16)85 (17)0.13

All data are number (percentage) or mean (SD) unless otherwise indicated. ACE/ARB indicates angiotensin‐converting enzyme inhibitor/angiotensin II receptor blocker; AF, atrial fibrillation; BMI, body mass index; GFR, glomerular filtration rate using the Modification of Diet in Renal Disease formula done at the time of the CMR; LVH, left ventricular hypertrophy; SA, sleep apnea.

Table 4.

Imaging Characteristics of Participants With SA and Startified by Treatment Group

VariableSA Positive (142)SA Treated (71)SA Untreated (71)P Value
Echocardiographic parameters
LVEF, %56 (9)56 (9)55 (10)0.27
LV diastolic dimension, mm50 (5)50 (5)49 (6)0.62
Estimated PASP, mm Hg31 (7)30 (7)32 (8)0.31
Left atrial dimension, mm43 (6)41 (6)44 (6)0.002
Cardiac magnetic resonance
LVEDV, mL174 (43)169 (40)179 (45)0.18
LVEDV index, mL/m280 (20)78 (19)82 (22)0.30
LVESV, mL77 (26)77 (25)77 (25)0.88
LVESV index, mL/m236 (12)36 (12)35 (12)0.74
LVEF, %56 (10)55 (10)57 (10)0.88
LV mass, g164 (34)154 (29)174 (36)0.005
LV mass index, g/m275 (14)71 (11)80 (14)0.0002
RVEDV, mL171 (44)167 (37)176 (51)0.27
RVEDV index, mL/m278 (19)77 (16)80 (21)0.47
RVESV, mL87 (27)86 (24)86 (29)0.97
RVESV index, mL/m240 (11)40 (11)39 (12)0.67
RVEF, %51 (8)50 (7)51 (8)0.24
Left atrial dimension, mm44 (8)41 (8)46 (8)0.0008
LV LGE, n (%)27 (19)12 (18)15 (20)0.67
LV LGE FWHM, % of LV mass6.0 (3)5.4 (3)6.6 (3)0.29
LV LGE location
Subendocardial12 (8)2 (3)10 (14)0.03
Transmural3 (2)2 (3)1 (1)1.00
Epicardial0 (0)
Mid‐myocardial7 (5)6 (8)3 (4)0.49
Insertion points8 (6)3 (4)5 (7)0.72

All data are number (percentage) or mean (SD) unless otherwise indicated. LGE FWHM indicates late gadolinium enhancement using full‐width half‐maximum method; LV, left ventricular; LVEF, left ventricular ejection fraction; LVEDV, left ventricular end‐diastolic volume; LVESV, left ventricular end‐systolic volume; PASP, pulmonary artery systolic pressure; RVEDV, right ventricular end‐diastolic volume; RVESV, right ventricular end‐systolic volume; RVEF, right ventricular ejection fraction; SA, sleep apnea.

Characteristics of Participants With SA and Stratified by Treatment Group All data are number (percentage) or mean (SD) unless otherwise indicated. ACE/ARB indicates angiotensin‐converting enzyme inhibitor/angiotensin II receptor blocker; AF, atrial fibrillation; BMI, body mass index; GFR, glomerular filtration rate using the Modification of Diet in Renal Disease formula done at the time of the CMR; LVH, left ventricular hypertrophy; SA, sleep apnea. Imaging Characteristics of Participants With SA and Startified by Treatment Group All data are number (percentage) or mean (SD) unless otherwise indicated. LGE FWHM indicates late gadolinium enhancement using full‐width half‐maximum method; LV, left ventricular; LVEF, left ventricular ejection fraction; LVEDV, left ventricular end‐diastolic volume; LVESV, left ventricular end‐systolic volume; PASP, pulmonary artery systolic pressure; RVEDV, right ventricular end‐diastolic volume; RVESV, right ventricular end‐systolic volume; RVEF, right ventricular ejection fraction; SA, sleep apnea.

Recurrence of AF

Complete clinical follow‐up was available for 715 patients (99%). There were 245 episodes of late recurrent AF during a median follow‐up time of 42 months (IQR 23 to 50 months). The time to recurrence of late AF ranged from 5 to 57 months. Early recurrence of AF (<3 months) was found in 256 patients (36%). The cumulative incidence of late AF recurrence (>3 month) was higher among patients with an early recurrence of AF (104/256 patients, 41%) than among patients without an early recurrence of AF (141/464 patients, 30%, P=0.006). In a clinical multivariable model, where SA was divided into treated (>4 hours) versus untreated (<4 hours),[26] the median duration of CPAP therapy in this study, untreated SA provided the strongest association with late AF recurrence (Table 5). Among all patients with SA, the cumulative incidence of late AF recurrence was 51% compared with an incidence of 30% in patients without SA. Patients below the median CPAP therapy duration of 4 hours had an increased rate of recurrence of late AF compared with patients above the median CPAP therapy duration (68% versus 35%). Kaplan–Meier curves showing differences in late AF recurrence according to the presence or absence of SA and according the median CPAP treatment are presented (Figure1). There was a significant difference in incidence of late AF between patients without SA and patients with SA who were not treated. There was no difference in the cumulative incidence of AF recurrence between patients with treated SA and those without SA.
Table 5.

Multivariable Cox Regression Model 2 for Association With Recurrence of Atrial Fibrillation

VariableHR95% CILRχ2P Value
Age0.990.98 to 1.011.090.30
Male0.990.73 to 1.330.050.94
History of hypertension1.100.82 to 1.470.410.52
History of diabetes mellitus1.130.80 to 1.590.450.50
SA treated*1.140.74 to 1.760.340.56
SA untreated*2.791.97 to 3.9433.79<0.0001
History of heart failure0.820.59 to 1.131.480.22
ACE/ARB Inhibitor1.300.98 to 1.733.260.07
Statin use0.910.69 to 1.220.380.53
Body mass index0.990.96 to 1.020.840.36
Cardiac magnetic resonance parameters
LVEF1.000.98 to 1.010.460.49
Left atrial dimension1.031.01 to 1.058.380.004

ACE/ARB indicates angiotensin‐converting enzyme inhibitor/angiotensin II receptor blocker; HR, hazard ratio; LR, log‐rank; LVEF, left ventricular ejection fraction; SA, sleep apnea.

Reference group=no SA.

Figure 1.

Kaplan–Meier curves displaying probability of AF recurrence according to the both the presence of absence of SA, and according to the SA treatment group. Results were compared using a log‐rank test; P value of <0.0001 for comparison of SA vs no SA and for comparison of SA and treatment vs untreated SA group. AF indicates atrial fibrillation; SA, sleep apnea.

Multivariable Cox Regression Model 2 for Association With Recurrence of Atrial Fibrillation ACE/ARB indicates angiotensin‐converting enzyme inhibitor/angiotensin II receptor blocker; HR, hazard ratio; LR, log‐rank; LVEF, left ventricular ejection fraction; SA, sleep apnea. Reference group=no SA. Kaplan–Meier curves displaying probability of AF recurrence according to the both the presence of absence of SA, and according to the SA treatment group. Results were compared using a log‐rank test; P value of <0.0001 for comparison of SA vs no SA and for comparison of SA and treatment vs untreated SA group. AF indicates atrial fibrillation; SA, sleep apnea.

Discussion

In patients with recurrent AF requiring PVI, we aimed to test the effect of SA on cardiac remodeling, to test whether therapy for SA was associated with differences in cardiac structure, and to test whether therapy for SA affected the recurrence rate of AF after PVI. We found that patients with SA had increased LV mass, LA size, estimated pulmonary pressures, and RV size, as well as reduced RV function. We found that therapy for SA was associated with paroxysmal rather than persistent AF, a lower blood pressure, a lower LV mass, and a reduced LA size. Finally, we found that untreated SA increased the incidence of AF recurrence post PVI and that treatment of SA with CPAP is associated with a lower incidence of AF after a successful PVI. There are limited data comparing the CMR findings in patients with and without SA. We found that patients with SA were more likely to have an increased LV mass, a larger LA, and a lower RVEF. These findings are complementary to echocardiographic data. Arias and colleagues compared LV mass in patients with SA with healthy controls.[27] They found that patients with SA had thicker LV walls and a higher LV mass than controls. Otto and colleagues tested the effect of SA on LA size in patients with SA and found that LA size was increased in patients with SA.[28] Finally, Shivalkar and colleagues found an increased RV size by echocardiography in patients with SA compared with healthy controls.[29] However, patients with SA tend to be overweight and have limited echocardiographic windows. Furthermore, even among nonoverweight subjects, CMR is the gold standard measure of cardiac structure and function.[30-31] We also tested the effect of treatment of SA on CMR measures of cardiac structure and function. We found that patients receiving therapy for SA had a lower LV mass and smaller LA. These findings are complementary to prior published data.[32] Colish and colleagues tested the effect of CPAP on LV mass and LA size on baseline and follow‐up CMR‐based measurement of LV mass and LA size. Similar to the findings of the present study, they found that therapy with CPAP was associated with a reduction in LV mass and LA size. We extend these findings and show that patients with treated SA had a lower LV mass, a reduced LA size, and a reduction in the recurrence of AF. We also compared the prevalence and pattern of myocardial scar among patients with and without SA. Compared with patients without SA, patients with SA were more likely to have LGE. Also, the location of LGE was different between groups with and without SA. Patients with SA were more likely to have LGE involving the insertion points of the septal attachments of the RV. Insertion point LGE is a nonspecific CMR finding, occurring in dilated cardiomyopathy,[33] hypertrophic cardiomyopathy,[34] systemic hypertension,[35] and pulmonary hypertension.[36] In patients with pulmonary hypertension, insertion‐point LGE is a marker of adverse prognosis.[36] The finding of a higher percentage of insertion‐point LGE in patients with SA in this study is likely due to higher pulmonary artery pressure. We also separated patients with SA into duration of treatment. Patients with treated SA were less likely to have sub‐endocardial LGE, a distribution typical of that found after myocardial infarction. We hypothesized that the reduction in an infarct pattern of LGE among patients with treated with SA was related to either a reduction in AF and the associated risk of thrombosis or a direct effect of SA therapy on the risk of myocardial infarction.[37-38] The data confirming an association between SA and AF complement prior data.[2,6,9,11,18] Gami and colleagues tested the association between SA and AF among a cohort of patients referred for cardioversion of AF.[2] A diagnosis of SA was suggested using the Berlin questionnaire in almost 50% of patients. In that study, similar to findings noted in the present work, the association between AF and SA was greater than the association with traditional risk factors such as body mass index and hypertension. In an extension of prior work, the same group tested whether there was an association between self‐reported treatment of SA and recurrence of AF after electrical cardioversion.[11] In a study of 37 patients with SA, the authors found that the recurrence rate in the 12 patients with treated SA was half that of patients without SA treatment. In patients being referred for PVI, data have shown an association between SA and the presence of AF and an association between SA and recurrence of AF.[15-17] There are no prospective randomized data testing whether treatment of SA reduces the risk of AF recurrence post PVI. In the largest observational series by Patel and colleagues,[17] 50% of patients were not compliant with CPAP therapy. In that group, the recurrence rate was higher than the rate in patients who regularly used CPAP. In a recent study,[18] Fein and Colleagues tested the association of SA, treatment of SA, and recurrence of AF post PVI in 62 patients. Similar to this study, they found that CPAP was associated with a 50% reduction in recurrence of AF post PVI. However, important differences exist. We found baseline differences in patients with and without SA for which we able to account. We found that patients with SA were more likely overweight, male, diabetic, and hypertensive and had increased pulmonary artery pressure, RV volume, atrial dimensions, and LV mass. We believe that these baseline differences primarily relate to the larger sample size of this present study. We also found that therapy for SA was associated with differences among patient groups. Based on published data[39] and the median duration of CPAP therapy, 4 hours was chosen to separate patients into 2 categories: treated SA and untreated SA. Patients treated with CPAP were more likely to have paroxysmal AF, a lower blood pressure, a lower ventricular mass, and a smaller LA. This study should be interpreted within the context of the design format. We did not perform serial prolonged monitoring for the recurrence of AF. Confirmation of recurrence was performed based on patient symptoms and underestimated the true incidence of AF recurrence. The study was prospective but observational; therefore, the extent of monitoring was left to the discretion of the primary providers and was not prespecified. Due to the study design, patients were not randomized; therefore, unanticipated variables could have influenced the findings. We did not capture the central apnea indices on all patients and were therefore unable to characterize the patients as having central SA, obstructive SA, or mixed patterns. We did not perform a formal sleep study on all patients referred for PVI. This approach likely yielded a significant underestimation in the prevalence of SA, which is estimated to be close to 50% in this population.[2] We also did not randomize patients with SA to duration of CPAP therapy. However, this study may act as a basis for such further work where a formal sleep assessment of all patients being referred to PVI would occur, followed by randomization to CPAP therapy or no therapy, a testing of the effect on cardiac structure, and the inclusion of routine prolonged monitoring for AF. Among a large cohort of patients with recurrent AF being referred for PVI, we found that 20% had SA, that the presence of SA was associated with adverse cardiac remodeling, that these adverse cardiac structural changes were attenuated among patients treated for SA, and that the presence or absence of therapy for SA provided a very strong association with the incidence of AF recurrence. These data may support further investigation into the role of therapy for SA and the recurrence of AF after PVI.
  38 in total

1.  Obstructive sleep apnea: effects of continuous positive airway pressure on cardiac remodeling as assessed by cardiac biomarkers, echocardiography, and cardiac MRI.

Authors:  Jane Colish; Jonathan R Walker; Nader Elmayergi; Saleh Almutairi; Fawaz Alharbi; Matthew Lytwyn; Andrew Francis; Sheena Bohonis; Matthew Zeglinski; Iain D C Kirkpatrick; Sat Sharma; Davinder S Jassal
Journal:  Chest       Date:  2011-08-11       Impact factor: 9.410

2.  Left atrial passive emptying function during dobutamine stress MR imaging is a predictor of cardiac events in patients with suspected myocardial ischemia.

Authors:  Afshin Farzaneh-Far; Vignendra Ariyarajah; Chetan Shenoy; Jean-Francois Dorval; Matthew Kaminski; Zelmira Curillova; Henry Wu; Kenneth B Brown; Raymond Y Kwong
Journal:  JACC Cardiovasc Imaging       Date:  2011-04

3.  2011 ACCF/AHA/HRS focused updates incorporated into the ACC/AHA/ESC 2006 guidelines for the management of patients with atrial fibrillation: a report of the American College of Cardiology Foundation/American Heart Association Task Force on practice guidelines.

Authors:  Valentin Fuster; Lars E Rydén; Davis S Cannom; Harry J Crijns; Anne B Curtis; Kenneth A Ellenbogen; Jonathan L Halperin; G Neal Kay; Jean-Yves Le Huezey; James E Lowe; S Bertil Olsson; Eric N Prystowsky; Juan Luis Tamargo; L Samuel Wann; Sidney C Smith; Silvia G Priori; N A Mark Estes; Michael D Ezekowitz; Warren M Jackman; Craig T January; James E Lowe; Richard L Page; David J Slotwiner; William G Stevenson; Cynthia M Tracy; Alice K Jacobs; Jeffrey L Anderson; Nancy Albert; Christopher E Buller; Mark A Creager; Steven M Ettinger; Robert A Guyton; Jonathan L Halperin; Judith S Hochman; Frederick G Kushner; Erik Magnus Ohman; William G Stevenson; Lynn G Tarkington; Clyde W Yancy
Journal:  Circulation       Date:  2011-03-07       Impact factor: 29.690

4.  Percutaneous pulmonary vein isolation for atrial fibrillation ablation.

Authors:  Gregory F Michaud; Roy John
Journal:  Circulation       Date:  2011-05-24       Impact factor: 29.690

5.  American Heart Association atrial fibrillation research summit: a conference report from the American Heart Association.

Authors:  N A Mark Estes; Ralph L Sacco; Sana M Al-Khatib; Patrick T Ellinor; Judy Bezanson; Alvaro Alonso; Charles Antzelevitch; Randall G Brockman; Peng-Sheng Chen; Sumeet S Chugh; Anne B Curtis; John P DiMarco; Kenneth A Ellenbogen; Andrew E Epstein; Michael D Ezekowitz; Pierre Fayad; Brian F Gage; Alan S Go; Mark A Hlatky; Elaine M Hylek; Michael Jerosch-Herold; Marvin A Konstam; Richard Lee; Douglas L Packer; Sunny S Po; Eric N Prystowsky; Susan Redline; Yves Rosenberg; David R Van Wagoner; Kathryn A Wood; Lixia Yue; Emelia J Benjamin
Journal:  Circulation       Date:  2011-06-27       Impact factor: 29.690

6.  Prospective study of the association between sleep-disordered breathing and hypertension.

Authors:  P E Peppard; T Young; M Palta; J Skatrud
Journal:  N Engl J Med       Date:  2000-05-11       Impact factor: 91.245

7.  Treatment of obstructive sleep apnea reduces the risk of atrial fibrillation recurrence after catheter ablation.

Authors:  Adam S Fein; Alexei Shvilkin; Dhaval Shah; Charles I Haffajee; Saumya Das; Kapil Kumar; Daniel B Kramer; Peter J Zimetbaum; Alfred E Buxton; Mark E Josephson; Elad Anter
Journal:  J Am Coll Cardiol       Date:  2013-04-23       Impact factor: 24.094

8.  Relation of the severity of obstructive sleep apnea in response to anti-arrhythmic drugs in patients with atrial fibrillation or atrial flutter.

Authors:  Ken Monahan; Jordan Brewster; Li Wang; Babar Parvez; Sandeep Goyal; Dan M Roden; Dawood Darbar
Journal:  Am J Cardiol       Date:  2012-04-18       Impact factor: 2.778

9.  Cardiovascular mortality in women with obstructive sleep apnea with or without continuous positive airway pressure treatment: a cohort study.

Authors:  Francisco Campos-Rodriguez; Miguel A Martinez-Garcia; Ines de la Cruz-Moron; Carmen Almeida-Gonzalez; Pablo Catalan-Serra; Josep M Montserrat
Journal:  Ann Intern Med       Date:  2012-01-17       Impact factor: 25.391

10.  Late gadolinium enhancement cardiovascular magnetic resonance predicts clinical worsening in patients with pulmonary hypertension.

Authors:  Benjamin H Freed; Mardi Gomberg-Maitland; Sonal Chandra; Victor Mor-Avi; Stuart Rich; Stephen L Archer; E Bruce Jamison; Roberto M Lang; Amit R Patel
Journal:  J Cardiovasc Magn Reson       Date:  2012-02-01       Impact factor: 5.364

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  56 in total

Review 1.  The why, when and how to test for obstructive sleep apnea in patients with atrial fibrillation.

Authors:  Lien Desteghe; Jeroen M L Hendriks; R Doug McEvoy; Ching Li Chai-Coetzer; Paul Dendale; Prashanthan Sanders; Hein Heidbuchel; Dominik Linz
Journal:  Clin Res Cardiol       Date:  2018-04-12       Impact factor: 5.460

2.  A 42-year-old female with well-controlled atrial fibrillation and mild obstructive sleep apnea.

Authors:  Mukesh Kapoor; Glen Greenough
Journal:  J Clin Sleep Med       Date:  2015-03-15       Impact factor: 4.062

3.  2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation.

Authors:  Hugh Calkins; Gerhard Hindricks; Riccardo Cappato; Young-Hoon Kim; Eduardo B Saad; Luis Aguinaga; Joseph G Akar; Vinay Badhwar; Josep Brugada; John Camm; Peng-Sheng Chen; Shih-Ann Chen; Mina K Chung; Jens Cosedis Nielsen; Anne B Curtis; D Wyn Davies; John D Day; André d'Avila; N M S Natasja de Groot; Luigi Di Biase; Mattias Duytschaever; James R Edgerton; Kenneth A Ellenbogen; Patrick T Ellinor; Sabine Ernst; Guilherme Fenelon; Edward P Gerstenfeld; David E Haines; Michel Haissaguerre; Robert H Helm; Elaine Hylek; Warren M Jackman; Jose Jalife; Jonathan M Kalman; Josef Kautzner; Hans Kottkamp; Karl Heinz Kuck; Koichiro Kumagai; Richard Lee; Thorsten Lewalter; Bruce D Lindsay; Laurent Macle; Moussa Mansour; Francis E Marchlinski; Gregory F Michaud; Hiroshi Nakagawa; Andrea Natale; Stanley Nattel; Ken Okumura; Douglas Packer; Evgeny Pokushalov; Matthew R Reynolds; Prashanthan Sanders; Mauricio Scanavacca; Richard Schilling; Claudio Tondo; Hsuan-Ming Tsao; Atul Verma; David J Wilber; Teiichi Yamane
Journal:  Heart Rhythm       Date:  2017-05-12       Impact factor: 6.343

Review 4.  European Heart Rhythm Association (EHRA)/European Association of Cardiovascular Prevention and Rehabilitation (EACPR) position paper on how to prevent atrial fibrillation endorsed by the Heart Rhythm Society (HRS) and Asia Pacific Heart Rhythm Society (APHRS).

Authors:  Bulent Gorenek; Antonio Pelliccia; Emelia J Benjamin; Giuseppe Boriani; Harry J Crijns; Richard I Fogel; Isabelle C Van Gelder; Martin Halle; Gulmira Kudaiberdieva; Deirdre A Lane; Torben Bjerregaard Larsen; Gregory Y H Lip; Maja-Lisa Løchen; Francisco Marin; Josef Niebauer; Prashanthan Sanders; Lale Tokgozoglu; Marc A Vos; David R Van Wagoner; Laurent Fauchier; Irina Savelieva; Andreas Goette; Stefan Agewall; Chern-En Chiang; Márcio Figueiredo; Martin Stiles; Timm Dickfeld; Kristen Patton; Massimo Piepoli; Ugo Corra; Pedro Manuel Marques-Vidal; Pompilio Faggiano; Jean-Paul Schmid; Ana Abreu
Journal:  Eur J Prev Cardiol       Date:  2016-11-04       Impact factor: 7.804

Review 5.  European Heart Rhythm Association (EHRA)/European Association of Cardiovascular Prevention and Rehabilitation (EACPR) position paper on how to prevent atrial fibrillation endorsed by the Heart Rhythm Society (HRS) and Asia Pacific Heart Rhythm Society (APHRS).

Authors:  Bulent Gorenek; Antonio Pelliccia; Emelia J Benjamin; Giuseppe Boriani; Harry J Crijns; Richard I Fogel; Isabelle C Van Gelder; Martin Halle; Gulmira Kudaiberdieva; Deirdre A Lane; Torben Bjerregaard Larsen; Gregory Y H Lip; Maja-Lisa Løchen; Francisco Marín; Josef Niebauer; Prashanthan Sanders; Lale Tokgozoglu; Marc A Vos; David R Van Wagoner; Laurent Fauchier; Irina Savelieva; Andreas Goette; Stefan Agewall; Chern-En Chiang; Márcio Figueiredo; Martin Stiles; Timm Dickfeld; Kristen Patton; Massimo Piepoli; Ugo Corra; Pedro Manuel Marques-Vidal; Pompilio Faggiano; Jean-Paul Schmid; Ana Abreu
Journal:  Europace       Date:  2017-02-01       Impact factor: 5.214

Review 6.  Cardiovascular outcomes of continuous positive airway pressure therapy for obstructive sleep apnea.

Authors:  Yüksel Peker; Baran Balcan
Journal:  J Thorac Dis       Date:  2018-12       Impact factor: 2.895

7.  Employer-mandated obstructive sleep apnea treatment and healthcare cost savings among truckers.

Authors:  Stephen V Burks; Jon E Anderson; Bibhudutta Panda; Rebecca Haider; Tim Ginader; Nicole Sandback; Darya Pokutnaya; Derek Toso; Natalie Hughes; Humza S Haider; Resa Brockman; Alice Toll; Nicholas Solberg; Jesse Eklund; Michael Cagle; Jeffery S Hickman; Erin Mabry; Mark Berger; Charles A Czeisler; Stefanos N Kales
Journal:  Sleep       Date:  2020-04-15       Impact factor: 5.849

8.  Atrial Substrate and Triggers of Paroxysmal Atrial Fibrillation in Patients With Obstructive Sleep Apnea.

Authors:  Elad Anter; Luigi Di Biase; Fernando M Contreras-Valdes; Carola Gianni; Sanghamitra Mohanty; Cory M Tschabrunn; Juan F Viles-Gonzalez; Eran Leshem; Alfred E Buxton; Guy Kulbak; Rim N Halaby; Peter J Zimetbaum; Jonathan W Waks; Robert J Thomas; Andrea Natale; Mark E Josephson
Journal:  Circ Arrhythm Electrophysiol       Date:  2017-11

9.  2012 HRS/EHRA/ECAS expert consensus statement on catheter and surgical ablation of atrial fibrillation: recommendations for patient selection, procedural techniques, patient management and follow-up, definitions, endpoints, and research trial design: a report of the Heart Rhythm Society (HRS) Task Force on Catheter and Surgical Ablation of Atrial Fibrillation. Developed in partnership with the European Heart Rhythm Association (EHRA), a registered branch of the European Society of Cardiology (ESC) and the European Cardiac Arrhythmia Society (ECAS); and in collaboration with the American College of Cardiology (ACC), American Heart Association (AHA), the Asia Pacific Heart Rhythm Society (APHRS), and the Society of Thoracic Surgeons (STS). Endorsed by the governing bodies of the American College of Cardiology Foundation, the American Heart Association, the European Cardiac Arrhythmia Society, the European Heart Rhythm Association, the Society of Thoracic Surgeons, the Asia Pacific Heart Rhythm Society, and the Heart Rhythm Society.

Authors:  Hugh Calkins; Karl Heinz Kuck; Riccardo Cappato; Josep Brugada; A John Camm; Shih-Ann Chen; Harry J G Crijns; Ralph J Damiano; D Wyn Davies; John DiMarco; James Edgerton; Kenneth Ellenbogen; Michael D Ezekowitz; David E Haines; Michel Haissaguerre; Gerhard Hindricks; Yoshito Iesaka; Warren Jackman; José Jalife; Pierre Jais; Jonathan Kalman; David Keane; Young-Hoon Kim; Paulus Kirchhof; George Klein; Hans Kottkamp; Koichiro Kumagai; Bruce D Lindsay; Moussa Mansour; Francis E Marchlinski; Patrick M McCarthy; J Lluis Mont; Fred Morady; Koonlawee Nademanee; Hiroshi Nakagawa; Andrea Natale; Stanley Nattel; Douglas L Packer; Carlo Pappone; Eric Prystowsky; Antonio Raviele; Vivek Reddy; Jeremy N Ruskin; Richard J Shemin; Hsuan-Ming Tsao; David Wilber
Journal:  Heart Rhythm       Date:  2012-03-01       Impact factor: 6.343

10.  Obesity and sleep apnea are independently associated with adverse left ventricular remodeling and clinical outcome in patients with atrial fibrillation and preserved ventricular function.

Authors:  Ravi V Shah; Siddique A Abbasi; Bobak Heydari; Hoshang Farhad; John A Dodson; Jessie P Bakker; Roy M John; Aristidis Veves; Atul Malhotra; Ron Blankstein; Michael Jerosch-Herold; Raymond Y Kwong; Tomas G Neilan
Journal:  Am Heart J       Date:  2014-01-15       Impact factor: 4.749

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