Restrictive Left Ventricular Filling Pattern and Risk of New-Onset Atrial Fibrillation After Acute Myocardial Infarction




Mechanisms for atrial arrhythmias that occur in the context of acute myocardial infarction (AMI) have not been well characterized. AMI often leads to alterations in left ventricular (LV) filling dynamics, which may result in advanced diastolic dysfunction. Diastolic dysfunction may produce increased left atrial (LA) pressure and initiate LA remodeling, promoting the progression to atrial fibrillation (AF). We studied 1,169 patients admitted with AMI. Advanced diastolic dysfunction was defined as a restrictive filling pattern (RFP), defined as ratio of early to late transmitral velocity of mitral inflow >1.5 or deceleration time <130 ms. The relation between RFP and the primary end point of new-onset AF occurring within 6 months was analyzed using multivariable Cox models. Of 1,169 patients (70% men, mean ± SD 64 ± 10 years of age), 110 (9.4%) developed new-onset AF (19.6% and 7.5% in patients with and without RFP, respectively, p <0.0001). RFP was associated with a hazard ratio of 2.72 for AF (95% confidence interval 1.83 to 4.05, p <0.0001). After multivariable adjustments for clinical variables, LV ejection fraction (EF) and LA size, RFP remained an independent predictor of AF (hazard ratio 2.17, 95% confidence interval 1.42 to 3.32, p <0.0001). Risk of AF was higher in patients with RFP for preserved (≥45%, hazard ratio 2.14, 95% confidence interval 1.09 to 4.20, p = 0.03) or decreased (hazard ratio 2.80, 95% confidence interval 1.63 to 4.82, p <0.0001) LVEF. In contrast, decreased LVEF in the absence of RFP was similar to that of patients with preserved LVEF and without RFP. In conclusion, in patients with AMI, presence of advanced diastolic dysfunction was independently associated with new-onset AF, suggesting that increased filling pressures may contribute to the development of AF after AMI.


Atrial fibrillation (AF) is a common complication of acute myocardial infarction (AMI), with a reported incidence of 6% to 19%. Development of AF is a consequence of heterogenous contributing factors. However, increased left atrial (LA) pressure leading to acute LA dilatation has been proposed as a major mechanism in the pathogenesis of new-onset AF in patients with AMI. Diastolic dysfunction may produce increased LA pressure and initiate LA remodeling. Hence, a concomitant restrictive filling pattern (RFP) may be particularly relevant to the development of new-onset AF in patients with AMI. In the general population, the few available data have suggested that left ventricular (LV) diastolic dysfunction portends the development of nonvalvular AF. However, the contribution of diastolic dysfunction to the development of AF in AMI is not well defined. We hypothesized that RFP would be associated with an increased risk of new-onset AF in the setting of AMI.


Methods


The study cohort consisted of patients enrolled in a prospective observational study designed to determine predictors of postinfarction heart failure. All patients presenting to an intensive coronary care unit with AMI were eligible for entry into the study if they had a diagnosis of AMI.


Excluded were patients (1) with previously known AF or atrial flutter; (2) ≤50 years of age to minimize influence of age on transmitral flow velocity; (3) with technically limited Doppler echocardiograms and with sinus tachycardia and/or first-degree atrioventricular block resulting in partial fusion of early and late transmitral velocities of mitral inflow, ventricular pacing, and other arrhythmias; (4) with moderate or severe mitral regurgitation to avoid effects of mitral regurgitation on E-wave velocity and other Doppler parameters of filling pressures; and (5) with other significant mitral valve disease that interferes with appropriate evaluation of diastolic function (e.g., mitral stenosis). The investigational review committee on human research approved the study protocol.


Echocardiography was performed during patients’ hospital stay after a median of 2 days from admission (25th to 75th percentiles 1 to 3 days). Early and late transmitral velocities of mitral inflow, their ratio, and E-wave deceleration time were measured from the apical window using pulse-wave Doppler with the sample volume placed at the tips of the mitral leaflets during diastole. RFP was defined based on previously published criteria in patients with AMI as presence of ratio of early to late transmitral velocity ratio >1.5 and/or E-wave deceleration time <130 ms.


LV ejection fraction (LVEF) was classified as normal (≥55%), mildly decreased (45% to 54%), moderately decreased (30% to 44%), and severely decreased (<30%). LA dimensions were obtained using M-mode echocardiography guided by 2-dimensional imaging.


Diagnosis of AF was based on electrocardiographic tracing in all cases. AF was defined as absence of P waves, coarse or fine fibrillatory waves, and irregular RR intervals. New-onset AF was defined as AF detected on electrocardiogram during the follow-up period in a patient without a history of persistent or paroxysmal AF or atrial flutter.


The primary outcome of interest was development of new-onset AF during a follow-up period of 6 months. Transient postoperative AF, occurring as an isolated episode within 1 month after bypass surgery, was not considered as an outcome event. After hospital discharge, ascertainment of AF was accomplished through review of medical records and electrocardiographic tracings of each patient.


Continuous variables are presented as mean ± SD or median (25th and 75th percentiles) and categorical variables as number and percentage. Baseline characteristics of groups were compared using unpaired t test for continuous variables and by chi-square statistic for categorical variables.


Kaplan–Meier plots were used to illustrate crude cumulative incidence of new-onset AF. Univariable and multivariable Cox proportional hazard models were constructed to examine the relation between clinical and echocardiographic variables and occurrence of a first episode of AF. The following variables were considered in the multivariate procedure: age, gender, previous infarction, history of diabetes, history of hypertension, smoking, estimated glomerular filtration rate, Killip class on admission, ST-segment elevation infarction, anterior location of infarction, coronary revascularization, LVEF, LA size, and RFP. LVEF was categorized as preserved (≥45%) or decreased (<45%) and LA dimension as below (≤4.0 cm) or above (>4.0 cm) the median value. Variables demonstrating an association with AF on univariate analysis at a p value <0.2 were used in stepwise Cox regression with backward elimination variable selection.


We assessed whether the relation between LVEF and AF varied according to RFP status using formal interaction testing within the Cox regression model by incorporating terms for the main effect of LVEF, main effect of RFP, and interaction between LVEF and RFP. The impact of concomitant RFP on risk of AF was subsequently analyzed in subgroups of patients with preserved (≥45%) and decreased (<45%) LVEF.


The relation between early/late transmitral velocity and deceleration time as continuous variables and AF were also assessed through use of cubic spline functions that allowed us to explore nonlinear relations between indexes of diastolic function and AF in a regression model. Knots were placed at 0.5, 1.0, 1.5, 2.0, and 2.5 for early/late transmitral velocity and at 130, 160, 200, and 240 for deceleration time. Differences were considered statistically significant at a 2-sided p value <0.05. Statistical analyses were performed using SPSS 17.0 (SPSS, Inc., Chicago, Illinois) and STATA 10 (STATA Corporation, College Station, Texas).




Results


From July 2001 through June 2008, 1,920 patients without previous AF were recruited into the study. Patients were excluded because of age ≤50 years (n = 410), moderate or severe mitral regurgitation (n = 150), and echocardiograms in which interpretation of diastolic function was unreliable (n = 191). The remaining 1,169 patients constituted the study population.


Patients were followed for 6 months after study entry. During follow-up, 110 patients (9.4%) developed a first episode of AF. Clinical characteristics of patients according to presence or absence of AF are listed in Table 1 . Patients who developed AF during hospital course were older, had higher prevalence of hypertension and lower glomerular filtration rate, and presented with higher Killip class.



Table 1

Baseline clinical characteristics according to atrial fibrillation status during follow-up
































































































Characteristic AF p Value
No
(n = 1,059)
Yes
(n = 110)
Age (years) 63 ± 10 70 ± 10 <0.0001
Women 324 (22%) 28 (26%) 0.41
Previous infarction 213 (20%) 23 (21%) 0.84
Hypertension 564 (53%) 67 (61%) 0.13
Current smoker 206 (20%) 27 (25%) 0.19
Diabetes mellitus 331 (31%) 26 (29%) 0.29
Estimated glomerular filtration rate (ml/min) 86 ± 34 78 ± 26 <0.0001
Killip classes II to IV 185 (18%) 43 (39%) <0.0001
Anterior infarction 471 (45%) 50 (46%) 0.84
ST-segment elevation infarction 892 (84%) 90 (82%) 0.51
Coronary revascularization 914 (86%) 102 (93%) 0.06
Medical therapy
Angiotensin converting enzyme inhibitors/ angiotensin II receptor blockers 950 (90%) 97 (88%) 0.62
β Blockers 940 (89%) 98 (89%) 0.92
Statins 886 (84%) 78 (71%) 0.001
Loop diuretics 180 (17%) 41 (37%) <0.0001
Aldosterone antagonists 167 (16%) 40 (36%) <0.0001

Data presented as mean ± SD or number of patients (percentage). Continuous variables were compared using unpaired t test. Categorical variables were compared by chi-square statistic.

Calculated using abbreviated Modification of Diet in Renal Disease equation.



Echocardiographic parameters of patients with and without AF are listed in Table 2 . Patients who developed AF were more likely to have larger LA dimension, larger LV dimensions, lower LVEF, and higher tricuspid regurgitation velocity. Patients with new-onset AF had higher mitral early/late transmitral velocity ratios and lower E-wave deceleration times. RFP was present in 185 patients (15.8%), with higher frequency in patients with AF.



Table 2

Echocardiographic parameters according to presence or absence of new-onset atrial fibrillation














































Characteristic AF p Value
No
(n = 1,059)
Yes
(n = 110)
Left atrial diameter (cm) 4.0 (3.7–4.3) 4.1 (3.8–4.4) 0.003
Ejection fraction (%) 46 ± 12 42 ± 14 0.006
Mitral early/late transmitral velocity ratio 0.8 (1.0–1.3) 1.1 (0.8–1.6) 0.008
E-wave deceleration time (ms) 190 (170–220) 178 (150–212) 0.015
Restrictive filling pattern 149 (14%) 36 (33%) <0.0001
Tricuspid regurgitation velocity (m/s) 2.88 ± 0.42 3.19 ± 0.47 <0.0001
Mild mitral regurgitation 462 (44%) 65 (59%) 0.002

Data presented as mean ± SD or number of patients (percentage). Continuous variables were compared using unpaired t test. Categorical variables were compared by chi-square statistic.


During the follow-up period, new-onset AF occurred in 36 of 185 patients with RFP (19.6%) and 74 of 984 patients (7.5%) without RFP. Median time for first AF episode was 2 days (25th to 75th percentile range 1 to 5 days). Kaplan–Meier curves demonstrated that the cumulative incidence of new-onset AF was markedly higher in patients with RFP, with most AF events occurring in the first 2 months after infarction ( Figure 1 ).




Figure 1


Kaplan–Meier curves showing cumulative incidence of atrial fibrillation according to presence or absence of restrictive filling pattern (p <0.0001, log-rank test).


In a univariable Cox regression model, the hazard ratio for new-onset AF was 2.72 in patients with RFP compared to patients without RFP (95% confidence interval 1.83 to 4.05, p <0.0001). Other univariable predictors of new-onset AF included age, estimated glomerular filtration rate, Killip class >I, enlarged left atrium, decreased LVEF, higher mitral early/late transmitral velocity ratio, and lower deceleration time ( Table 3 ). When cubic spline regression was used to explore the unadjusted association between early/late transmitral velocity and AF, we observed an inverted U-shaped relation but with an approximately linear relation for early/late transmitral velocity ratio >1.3 and deceleration time <150 ms and risk for AF ( Figure 2 ).



Table 3

Unadjusted Cox regression model for new-onset atrial fibrillation at six months




















































































Variable Unadjusted HR 95% CI p Value
Age tertile (years)
51–56 1.0 (referent)
57–67 2.07 1.1–3.88 0.02
≥68 4.05 2.27–7.23 <0.0001
History of hypertension 1.35 0.92–1.98 0.13
Current smoking 1.35 0.87–2.09 0.18
Estimated glomerular filtration rate <60 ml/min 1.95 1.30–2.93 0.001
Killip class >I 2.79 1.90–4.09 <0.0001
Coronary revascularization 1.96 0.95–4.02 0.07
Echocardiographic parameters
Left ventricular ejection fraction <45% 1.95 1.34–2.84 0.0005
Left atrial diameter >4 cm 1.98 1.35–2.90 0.0005
Early/late transmitral velocity ratio (per 1-U increase) 1.25 1.08–1.45 0.003
Deceleration time (per 10-ms decrease) 0.93 0.88–0.99 0.02
Restrictive filling pattern 2.72 1.83–4.05 <0.0001

CI = confidence interval; HR = hazard ratio.

Variables with unadjusted p values <0.2 are listed.




Figure 2


Spline function graph of unadjusted relation between early/late transmitral velocity (E/A) ratio (A) and deceleration time (B) to atrial fibrillation during 6-month follow-up. Restricted cubic splines (lines) show the shape of the relation curve for atrial fibrillation according to indexes of diastolic function on a continuous basis.

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Dec 22, 2016 | Posted by in CARDIOLOGY | Comments Off on Restrictive Left Ventricular Filling Pattern and Risk of New-Onset Atrial Fibrillation After Acute Myocardial Infarction

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