Key PointsQuestion
Is surgical occlusion of the left atrial appendage (LAAO) during cardiac surgery associated with reduced risk of stroke or all-cause mortality?
Finding
In this retrospective cohort study of 75 782 patients undergoing cardiac surgery, concurrent surgical LAAO, compared with no surgical LAAO, was significantly associated with a lower risk of stroke (hazard ratio, 0.73) and mortality (hazard ratio, 0.71) among a propensity score–matched cohort of 8590 patients.
Meaning
Surgical LAAO in patients undergoing concurrent cardiac surgery was associated with reduced risk of subsequent stroke and all-cause mortality.
Importance
Surgical occlusion of the left atrial appendage (LAAO) may be performed during concurrent cardiac surgery. However, few data exist on the association of LAAO with long-term risk of stroke, and some evidence suggests that this procedure may be associated with subsequent development of atrial fibrillation (AF).
Objective
To evaluate the association of surgical LAAO performed during cardiac surgery with risk of stroke, mortality, and development of subsequent AF.
Design, Setting, and Participants
Retrospective cohort study using a large US administrative database that contains data from adult patients (≥18 years) with private insurance or Medicare Advantage who underwent coronary artery bypass graft (CABG) or valve surgery between January 1, 2009, and March 30, 2017, with final follow-up on March 31, 2017. One-to-one propensity score matching was used to balance patients on 76 dimensions to compare those with vs without LAAO, stratified by history of prior AF at the time of surgery.
Exposures
Surgical LAAO vs no surgical LAAO during cardiac surgery.
Main Outcomes and Measures
The primary outcomes were stroke (ie, ischemic stroke or systemic embolism) and all-cause mortality. The secondary outcomes were postoperative AF (AF within 30 days after surgery among patients without prior AF) and long-term AF-related health utilization (event rates of outpatient visits and hospitalizations).
Results
Among 75 782 patients who underwent cardiac surgery (mean age, 66.0 [SD, 11.2] years; 2 2091 [29.2%] women, 25 721 [33.9%] with preexisting AF), 4374 (5.8%) underwent concurrent LAAO, and mean follow-up was 2.1 (SD, 1.9) years. In the 8590 propensity score–matched patients, LAAO was associated with a reduced risk of stroke (1.14 vs 1.59 events per 100 person-years; hazard ratio [HR], 0.73 [95% CI, 0.56-0.96]; P = .03) and mortality (3.01 vs 4.30 events per 100 person-years; HR, 0.71 [95% CI, 0.60-0.84]; P < .001). LAAO was associated with higher rates of AF-related outpatient visits (11.96 vs 10.26 events per person-year; absolute difference, 1.70 [95% CI, 1.60-1.80] events per person-year; rate ratio, 1.17 [95% CI, 1.10-1.24]; P < .001) and hospitalizations (0.36 vs 0.32 event per person-year; absolute difference, 0.04 [95% CI, 0.02-0.06] event per person-year; rate ratio, 1.13 [95% CI, 1.05-1.21]; P = .002). In patients with prior AF (6438/8590 [74.9%]) with vs without LAAO, risk of stroke was 1.11 vs 1.71 events per 100 person-years (HR, 0.68 [95% CI, 0.50-0.92]; P = .01) and risk of mortality was 3.22 vs 4.93 events per 100 person-years (HR, 0.67 [95% CI, 0.56-0.80]; P < .001), respectively. In patients without prior AF (2152/8590 [25.1%]) with vs without LAAO, risk of stroke was 1.23 vs 1.26 events per 100 person-years (HR, 0.95 [95% CI, 0.54-1.68]), risk of mortality was 2.30 vs 2.49 events per 100 person-years (HR, 0.92 [95% CI, 0.61-1.37]), and risk of postoperative AF was 27.7% vs 20.2% events per 100 person-years (HR, 1.46 [95% CI, 1.22-1.73]; P < .001). The interaction term between prior AF and LAAO was not significant (P = .29 for stroke and P = .16 for mortality).
Conclusions and Relevance
Among patients undergoing cardiac surgery, concurrent surgical LAAO, compared with no surgical LAAO, was associated with reduced risk of subsequent stroke and all-cause mortality. Further research, including from randomized clinical trials, is needed to more definitively determine the role of surgical LAAO.
Cardiac surgery is among the most commonly performed procedures, with more than 300 000 coronary artery bypass graft (CABG) and valve operations performed annually in the United States.1 Many patients who undergo cardiac surgery have a history of atrial fibrillation (AF), which is associated with an increased risk of stroke.2,3 Because thrombi in the left atrial appendage may account for the majority of cardioembolic strokes in AF,4 surgical occlusion of the left atrial appendage (LAAO) is sometimes performed during the surgery to reduce long-term risk of stroke.
There are limited data on the effectiveness of LAAO to guide evidence-based decision making. A recent observational study demonstrated that LAAO was associated with a lower risk of thromboembolism in patients with AF.5 However, LAAO may not be beneficial in patients without AF, but in another recent observational study, more than half of the patients undergoing LAAO did not have prior AF, perhaps indicating that preemptive closure in patients perceived to be at a high risk of developing AF is common practice.6 However, little is known whether this approach is justified. Therefore, this study aimed to investigate whether LAAO during cardiac surgery was associated with reduced risks of stroke and mortality. This study specifically assessed outcomes stratified by whether patients had a history of AF at the time of surgery.
A secondary aim was to investigate whether LAAO was associated with subsequent AF. A previous study found that LAAO may be associated with increased risk of postoperative AF,6 perhaps by promoting an atrial arrhythmogenic state resulting from increased left atrial filling pressures, inflammation, and sympatho-vagal imbalance.7-9 As such, this study examined the association between LAAO and postoperative AF, as well as long-term AF-related health care utilization.
The Mayo Clinic institutional review board exempted this study from review because the study used preexisting, deidentified data.
Quiz Ref IDThis study was a retrospective cohort analysis using OptumLabs Data Warehouse, which contains data from patients with private insurance or Medicare Advantage of all ages and races throughout the United States.10,11 The cohort included adult patients (≥18 years) who underwent their first CABG or valve surgery (open-heart valve replacement or repair) between January 1, 2009, and March 30, 2017. Patients were required to have at least 6 months of continuous enrollment in health insurance plans before the the surgery, defined as the baseline period, to capture patients’ medical history. The mean baseline period was 3.8 (SD, 3.3) years.
The variables were defined by the presence of a claim with eligible diagnosis codes, procedure codes, or prescription fills. The absence of such claims was interpreted as the absence of the condition. Race/ethnicity was measured because it is a major socioeconomic characteristic and a risk factor for outcomes. The data were provided by OptumLabs, classified as non-Hispanic white (white), non-Hispanic black (black), Asian, Hispanic, or other/unknown. Self-report was the primary source, and when data were missing, imputation was made by the data provider based on other available administrative data.12
LAAO was identified using International Classification of Diseases, Ninth Revision (ICD-9) and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) procedure codes (ICD-9 37.36; ICD-10 02570ZK, 02B70ZK, 02L70ZK, 02L70CK).
The primary outcomes were ischemic stroke or systemic embolism (hereafter referred to as stroke) and all-cause mortality. Stroke was defined as a primary diagnosis during an emergency department visit or a primary or secondary diagnosis during an inpatient stay (diagnosis codes for stroke: ICD-9 433.x1, 434.x1, 436, and 444.x; ICD-10 I63.x, I74.x). Mortality was identified based on the Social Security Death Master File and discharge status.
The secondary outcomes were postoperative AF, defined as newly diagnosed AF within 30 days after the surgery (a diagnosis code on an inpatient or outpatient claim [ICD-9 427.31; ICD-10 I48.0, I48.1, I48.2, I48.91]), and long-term AF-related health utilization, measured by the event rates of outpatient visits and hospitalizations with a diagnosis of AF. Although AF-related health utilization may underestimate the occurrence and frequency of AF episodes, it could be considered as a surrogate measure of the effect of AF on patients’ health and quality of life, as well as the burden on the health care system.
Follow-up started from the day after the surgery until the end of the study period (March 31, 2017), the end of enrollment in health insurance plans, or death, whichever happened first. All outcomes were compared in the entire cohort, except for postoperative AF, which was assessed only in patients without prior AF, to avoid misclassification of “carry forward” diagnoses as postoperative AF episodes.
The statistical analysis plan is available in Supplement 1. Propensity score matching was used to balance the differences in baseline characteristics between patients who underwent concurrent LAAO and those who did not. A propensity score, the probability of undergoing LAAO, was estimated using logistic regression based on sociodemographic characteristics, procedure-related characteristics, medical history, concurrent medication use, year of the surgery, and the length of baseline period. Baseline medication use was defined as prescriptions within 3 months of the surgery, and the preoperative medication was defined as prescription within 1 week of the surgery. One-to-one nearest-neighbor caliper matching was used to match patients based on the logit of the propensity score using a caliper equal to 0.2 of the standard deviation of the logit of the propensity score.13 Patients were exact matched on baseline AF and use of oral anticoagulation.
Standardized difference was used to assess the balance of covariates after matching, and a standardized difference less than 10% was considered acceptable.14 Balance of baseline characteristics was also assessed in patients with and without prior AF separately, because the comparisons between patients treated with and without LAAO were stratified by the presence of prior AF. Whether the hazard ratios (HRs) were the same between patients with and without prior AF was tested by the significance of the interaction term. One-third of the cohort had linked blood-based laboratory results. The availability of laboratory data depended on the contract between laboratory testing facilities and OptumLabs, rather than individual patient characteristics. Laboratory data were used to assess values for serum creatinine, serum calcium, serum albumin, hemoglobin, low-density lipoprotein cholesterol, and hemoglobin A1c. These laboratory data were not included in the model to calculate the propensity score, but the values and the proportion of missing values were balanced after matching on all other patient characteristics.
Cox proportional hazards regression was used to compare patients treated with and without LAAO for stroke, mortality, and postoperative AF in the propensity score–matched cohort, with robust sandwich estimates to account for the clustering within matched sets.15 The Fine and Gray method was used to consider death as a competing risk when assessing nonfatal outcomes.16 The proportional hazards assumption was tested on the basis of Schoenfeld residuals.17 Poisson regression was used to assess AF-related outpatient visits and hospitalizations.
P < .05 was considered statistically significant for all tests. All tests were 2-sided. All analyses were conducted using SAS version 9.4 (SAS Institute Inc) and Stata version 14.1 (StataCorp).
Subgroup analyses for stroke and mortality were performed stratified by age, sex, race, surgery types, CHA2DS2-VASc score (congestive heart failure, hypertension, age ≥75 years [doubled], diabetes, stroke/transient ischemic attack/thromboembolism [doubled], vascular disease [prior myocardial infarction, peripheral artery disease, or aortic plaque], age 65-75 years, sex category [female]), HAS-BLED score (hypertension, abnormal renal and liver function, stroke, bleeding, labile international normalized ratio, elderly, drugs or alcohol), prior thromboembolism, prior bleeding, heart failure, and stage 3-5 chronic kidney disease. Whether the HRs were the same across the subgroups was tested by the significance of the interaction terms.
Analyses using falsification end points were performed to test for residual confounding.18 Three end points unlikely to be a result of undergoing LAAO were selected: chronic obstructive pulmonary disease, pneumonia, and fracture.
Sensitivity analyses were conducted using propensity score weighting (an overlap weight) instead of matching.19 Another sensitivity analysis was conducted assessing outcomes by the use of oral anticoagulants during follow-up. In patients without prior AF, a sensitivity analysis was conducted for stroke and mortality, stratified by whether patients developed AF during follow-up. AF-related health utilization excluding the first 30 days, stratified by whether patients had postoperative AF, was examined to assess whether patients with postoperative AF developed late AF.
To illustrate variables associated with LAAO, multivariable logistic regression was performed in the entire cohort. To illustrate variables associated with postoperative AF, multivariable Cox proportional hazards regression was performed in patients without prior AF. In these 2 multivariable regression models, independent variables were selected using stepwise forward selection using a threshold of P = .10 for the addition to the model. A sensitivity analysis was performed in patients with prior AF, adjusting for whether patients underwent concomitant Maze procedure. All sensitivity and subgroup analyses were prespecified but were considered exploratory.
Among 75 782 patients who underwent cardiac surgery, the mean age was 66.0 (SD, 11.2) years; 22 091 (29.2%) were women, 67 410 (89.0%) had a CHA2DS2-VASc score of 2 or more, 25 721 (33.9%) had preexisting AF, and 4374 (5.8%) underwent concurrent LAAO. Quiz Ref IDVariables significantly associated with undergoing LAAO included a history of AF, valve surgery (particularly valve repair and mitral valve surgery), the use of oral anticoagulants before the surgery, and surgery performed in more recent years (eTable 1 in Supplement 2).
The propensity score–matched cohort included 8590 patients followed up for a mean of 2.1 (SD, 1.9) years. Patients treated with and without LAAO were balanced on 76 baseline characteristics (Table 1 and Table 2). Of these patients, 2152/8590 (25.1%) did not have a history of AF; baseline characteristics stratified by whether patients had prior AF are reported in eTable 2 in Supplement 2. In patients with prior AF, the baseline characteristics were all balanced between patients who underwent LAAO and those who did not. In patients without prior AF, because of a relatively small number of patients, several variables had some imbalance, but adjusting for these variables in the regression analyses did not change the results.
Primary and Secondary Outcomes
Quiz Ref IDOverall in the propensity score–matched patients, LAAO was associated with a reduced risk of stroke (1.14 vs 1.59 events per 100 person-years; absolute difference, 0.45 [95% CI, 0.09 to 0.82] event per 100 person-years; HR, 0.73 [95% CI, 0.56 to 0.96]; P = .03) and mortality (3.01 vs 4.30 events per 100 person-years; absolute difference, 1.29 [95% CI, 0.70 to 1.89] events per 100 person-years; HR, 0.71 [95% CI, 0.60 to 0.84]; P < .001) (Table 3 and Figure 1). The proportional hazards assumption was valid for all outcomes.
Quiz Ref IDLAAO was associated with higher rates of AF-related outpatient visits (11.96 vs 10.26 events per person-year; absolute difference, 1.70 [95% CI, 1.60 to 1.80] events per person-year; rate ratio, 1.17 [95% CI, 1.10 to 1.24]; P < .001) and hospitalizations (0.36 vs 0.32 event per person-year; absolute difference, 0.04 [95% CI, 0.02 to 0.06] event per person-year; rate ratio, 1.13 [95% CI, 1.05 to 1.21]; P = .002) (Table 4).
Stratified Analyses by Preexisting AF
Among the 6438 patients with prior AF in the matched cohort, for those with LAAO vs no LAAO, the risk of stroke was 1.11 vs 1.71 events per 100 person-years, respectively (absolute difference, 0.60 [95% CI, 0.16 to 1.03] event per 100 person-years; HR, 0.68 [95% CI, 0.50 to 0.92]; P = .01), and the risk of mortality was 3.22 vs 4.93 events per 100 person-years (absolute difference, 1.70 [95% CI, 0.98 to 2.43] events per 100 person-years; HR, 0.67 [95% CI, 0.56 to 0.80]; P < .001). Among the 2152 patients without prior AF for those with vs without LAAO, the risk of stroke was 1.23 vs 1.26 events per 100 person-years, respectively (absolute difference, 0.04 [95% CI, −0.67 to 0.74] event per 100 person-years; HR, 0.95 [95% CI, 0.54 to 1.68]), and the risk of mortality was 2.30 vs 2.49 events per 100 person-years (absolute difference, 0.19 [95% CI, −0.78 to 1.16] event per 100 person-years; HR, 0.92 [95% CI, 0.61 to 1.37)( Table 3 and Figure 1). Quiz Ref IDThe interaction term between prior AF and LAAO was not statistically significant (P = .29 for stroke and P = .16 for mortality).
Among the 2152 patients without prior AF in the matched cohort, 515 (23.9%) developed newly diagnosed AF within 30 days after surgery. LAAO vs no LAAO was associated with a higher risk of postoperative AF (27.7% vs 20.2%; HR, 1.46 [95% CI, 1.22 to 1.73]; P < .001).
In the propensity score–matched patients with prior AF with LAAO vs without LAAO, rates were 14.74 vs 13.11 events per person-year, respectively (absolute difference, 1.62 [95% CI, 1.49 to 1.76] events per person-year; rate ratio, 1.12 [95% CI, 1.06 to 1.19]; P < .001), for AF-related outpatient visits and 0.44 vs 0.41 event per person-year (absolute difference, 0.04 [95% CI, 0.01 to 0.06] event per person-year; rate ratio, 1.09 [95% CI, 1.01 to 1.17]; P = .03) for hospitalizations. Among patients without prior AF with LAAO vs without LAAO, rates were 3.01 vs 2.05 events per person-year, respectively (absolute difference, 0.95 [95% CI, 0.85 to 1.05] event per person-year; rate ratio, 1.46 [95% CI, 1.10 to 1.96]; P = .01), for outpatient visits and 0.08 vs 0.06 event per person-year (absolute difference, 0.02 [95% CI, 0.01 to 0.04] event per person-year; rate ratio, 1.42 [95% CI, 1.01 to 2.00]; P = .04) for hospitalizations (Table 4).
In the multivariable regression using data from all 50 061 patients without prior AF, LAAO was associated with an increased risk of postoperative AF (HR, 1.48 [95% CI, 1.31 to 1.67]; P < .001). Other variables associated with postoperative AF included older age, a valve procedure, and a history of other supraventricular arrhythmia (eTable 3 in Supplement 2).
The subgroup analyses were consistent with the main findings (Figure 2 and Figure 3; eFigures 1 and 2 in Supplement 2). For example, P values for interaction were nonsignificant for age, sex, CHA2DS2-VASc score, and chronic kidney disease. There were no significant relationships between LAAO and any of the falsification end points (HR, 0.94 [95% CI, 0.73 to 1.20]; P = .60 for chronic obstructive pulmonary disease; HR, 0.92 [95% CI, 0.81 to 1.05]; P = .20 for pneumonia; and HR, 0.91 [95% CI, 0.75 to 1.11]; P = .34 for fracture) in the overall cohort (eTable 4 in Supplement 2). The results using the propensity score weighting method were also consistent with the main findings (HR, 0.76 [95% CI, 0.61 to 0.95]; P = .02 for stroke and HR, 0.78 [95% CI, 0.68 to 0.90]; P < .001 for mortality in the overall cohort) (eTables 5 and 6 in Supplement 2).
The use of oral anticoagulants over time was similar between patients undergoing and not undergoing LAAO in the propensity score–matched cohort (eFigure 3 in Supplement 2), which suggested that the associations seen with LAAO were not related to differential use of oral anticoagulants. The associations between LAAO and stroke or mortality stratified by oral anticoagulant use during follow-up was consistent with the main findings, except that the association between LAAO and stroke was not significant among patients with AF taking oral anticoagulation (HR, 0.80 [95% CI, 0.51 to 1.24]) (eTable 7 in Supplement 2).
Long-term AF-related health utilization excluding the first 30 days was higher for patients who had postoperative AF than for those who did not (6.68 vs 0.61 outpatient visits per person-year; absolute difference, 6.07 [95% CI, 5.89 to 6.24] event per person-year; P < .001 and 0.14 vs 0.02 hospitalization per person-year; absolute difference, 0.12 [95% CI, 0.10 to 0.15] event per person-year; P < .001), suggesting that patients with postoperative AF were at a higher risk of developing late AF (eTable 8 in Supplement 2).
In patients who did not have prior AF but developed AF during follow-up, LAAO was not associated with a significant reduction in stroke (HR, 0.74 [95% CI, 0.34 to 1.62]) or mortality (HR, 0.73 [95% CI, 0.41 to 1.30]) (eTable 9 in Supplement 2). The majority of the patients (1430/2152 [66.4%]) without prior AF at the time of the surgery did not develop AF during follow-up. Adjusting for concomitant Maze procedure did not substantially affect the results (eTable 10 in Supplement 2).
In this large heterogeneous cohort of patients undergoing cardiac surgery, concurrent LAAO was associated with reduced risk of stroke and all-cause mortality and was associated with increased AF-related health care utilization.
This study is the first to our knowledge to investigate associations between LAAO and clinical outcomes stratified by preexisting AF.20 The interaction between LAAO and prior AF was not statistically significant, which did not support a difference in the relative risk reduction with LAAO between patients with and without prior AF. In the current study, 1 in 4 patients undergoing LAAO did not have documented preoperative AF, and the absolute risk reduction for stroke and mortality associated with LAAO was small in these patients. However, the confidence intervals were wide, and thus, future studies with larger sample sizes will be needed to fully assess the interaction and the role of LAAO in patients without prior AF. The consideration of preemptive LAAO in patients without documented preoperative AF must be balanced against the fact that the majority of patients would not develop AF after the surgery and LAAO may be associated with an increased risk of subsequent AF.
One in 3 patients in this cohort undergoing cardiac surgery had a history of AF, which is related to increased risks of stroke and mortality,2,3,21 and lifelong use of oral anticoagulants is recommended in 80% to 90% of patients with AF to prevent stroke.22,23 However, fewer than half of the patients with AF in practice adhere to oral anticoagulation,24 and 1 in 6 patients is deemed unsuitable for oral anticoagulation by his or her physician.25 Furthermore, some patients are still at a high risk of stroke despite oral anticoagulation treatment.26 Therefore, LAAO may be an option for patients with AF who have difficulty taking oral anticoagulant drugs and for those who desire further risk reduction in addition to anticoagulation. In our study, the association between LAAO and stroke was not significant among patients with AF who were taking oral anticoagulation. This could be attributable to the small number of events and patients in the subgroup, as well as the possibility that oral anticoagulation already reduced the risk of stroke, and the additional risk reduction from LAAO was relatively smaller than that seen in patients who did not receive oral anticoagulation.
In patients with prior AF and in those without prior AF, LAAO was associated with a higher rate of AF-related health utilization during follow-up, which supports the previous observation that LAAO may be associated with subsequent AF.6 Although this study cannot directly measure the frequency and length of AF episodes, the increased number of AF-related outpatient visits and hospitalizations provided an important measure of the AF-related burden to patients and the health care system. Recent studies suggested that patients who developed postoperative AF incur a mean of $10 000 to $20 000 in additional hospital treatment costs, 12 to 24 hours of additional intensive care unit time, and an additional 2 to 5 days in the hospital.27 As such, the risk of subsequent AF needs to be discussed with patients during shared decision making.
The current study may have greater generalizability than previous studies, because it included a large number of patients of all ages and races undergoing cardiac surgery at a diverse range of institutions across the United States. The findings in patients with AF were consistent with those from a recent observational study,5 but that previous study was limited to patients 65 years and older who had prior AF, which represented only about 24% of all patients undergoing cardiac surgery in the current study. A randomized trial of 187 patients also found a lower risk of stroke with LAAO but did not find a difference in mortality, perhaps because of the small sample size.28 The ongoing Left Atrial Appendage Occlusion Study III trial (NCT01561651) plans to enroll 4700 patients, but that trial was limited to high-risk patients with documented AF or atrial flutter undergoing CABG and will not address the population without AF or those undergoing valve surgery.
This study has several limitations. First, despite statistical adjustment, the study may still be subject to confounding. Some of the variables measured, eg, prior treatment with ablation, cardioversion, antiarrhythmic drugs, and medications for other chronic conditions, could be proxies for unmeasured aspects of the underlying diseases. Furthermore, the test of falsification end points provided some reassurance that there was no evidence for residual confounding.
Second, the study relied on administrative data to ascertain baseline characteristics and outcomes, which could be subject to misclassification. For example, the postoperative AF may have been undercoded, but in patients without prior AF, 24% had postoperative AF, which was consistent with previous reports.29 Furthermore, it was unlikely there was any systemic difference in the ascertainment of comorbidities and outcomes between the 2 treatment groups, and thus, the misclassification should not have meaningfully affected the comparisons. The diagnosis and procedure codes used in this study were commonly used in previous studies and demonstrated good performance in validation studies, with positive predictive values around 90%.30-37
Third, this study was unable to distinguish between LAAO by excision or by exclusion using sutures or stapling, because these procedures are all described by a single code. Nor were data available on the apparent success of closure as gauged by intraoperative transesophageal echocardiography.
Fourth, the number of patients without prior AF undergoing LAAO was relatively small and the confidence intervals around the point estimates were relatively wide. However, since the absolute reduction in stroke risk was only 0.04 event per 100 person-years in this group, it would require an extremely large sample to detect such a small, and potentially clinically insignificant, difference.
Among patients undergoing cardiac surgery, concurrent surgical LAAO, compared with no surgical LAAO, was associated with reduced risk of subsequent stroke and all-cause mortality. Further research, including from randomized clinical trials, is needed to more definitively determine the role of surgical LAAO.
Corresponding Author: Xiaoxi Yao, PhD, Mayo Clinic, 200 First St SW, Rochester, MN 55905 (yao.xiaoxi@mayo.edu).
Accepted for Publication: April 18, 2018.
Author Contributions: Dr Yao had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Concept and design: Yao, Holmes, Melduni, Johnsrud, Noseworthy.
Acquisition, analysis, or interpretation of data: Yao, Gersh, Melduni, Sangaralingham, Shah, Noseworthy.
Drafting of the manuscript: Yao, Sangaralingham, Noseworthy.
Critical revision of the manuscript for important intellectual content: Yao, Gersh, Holmes, Melduni, Johnsrud, Shah, Noseworthy.
Statistical analysis: Yao, Holmes.
Administrative, technical, or material support: Holmes, Sangaralingham, Shah, Noseworthy.
Supervision: Holmes, Melduni, Shah, Noseworthy.
Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none were reported.
Funding/Support: This study was funded by the Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery. Dr Melduni is supported by National Institutes of Health grant K01 (HL 135288).
Role of the Funder/Sponsor: The funder/sponsor had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
2.Benjamin
EJ, Wolf
PA, D’Agostino
RB,
et al. Impact of atrial fibrillation on the risk of death.
Circulation. 1998;98(10):946-952.
PubMedGoogle ScholarCrossref 3.Kannel
WB, Wolf
PA, Benjamin
EJ, Levy
D. Prevalence, incidence, prognosis, and predisposing conditions for atrial fibrillation: population-based estimates.
Am J Cardiol. 1998;82(8A):2N-9N.
PubMedGoogle ScholarCrossref 4.Blackshear
JL, Odell
JA. Appendage obliteration to reduce stroke in cardiac surgical patients with atrial fibrillation.
Ann Thorac Surg. 1996;61(2):755-759.
PubMedGoogle ScholarCrossref 5.Friedman
DJ, Piccini
JP, Wang
T,
et al. Association between left atrial appendage occlusion and readmission for thromboembolism among patients with atrial fibrillation undergoing concomitant cardiac surgery.
JAMA. 2018;319(4):365-374.
PubMedGoogle ScholarCrossref 6.Melduni
RM, Schaff
HV, Lee
HC,
et al. Impact of left atrial appendage closure during cardiac surgery on the occurrence of early postoperative atrial fibrillation, stroke, and mortality.
Circulation. 2017;135(4):366-378.
PubMedGoogle ScholarCrossref 7.Hoit
BD, Shao
Y, Tsai
LM, Patel
R, Gabel
M, Walsh
RA. Altered left atrial compliance after atrial appendectomy: influence on left atrial and ventricular filling.
Circ Res. 1993;72(1):167-175.
PubMedGoogle ScholarCrossref 8.Hoit
BD, Walsh
RA. Regional atrial distensibility.
Am J Physiol. 1992;262(5, pt 2):H1356-H1360.
PubMedGoogle Scholar 9.Davis
CA
III, Rembert
JC, Greenfield
JC
Jr. Compliance of left atrium with and without left atrium appendage.
Am J Physiol. 1990;259(4, pt 2):H1006-H1008.
PubMedGoogle Scholar 10.Wallace
PJ, Shah
ND, Dennen
T, Bleicher
PA, Crown
WH. Optum Labs: building a novel node in the learning health care system [published correction appears in
Health Aff (Millwood). 2014;33(9):1703].
Health Aff (Millwood). 2014;33(7):1187-1194.
PubMedGoogle ScholarCrossref 12.Hershman
DL, Tsui
J, Wright
JD, Coromilas
EJ, Tsai
WY, Neugut
AI. Household net worth, racial disparities, and hormonal therapy adherence among women with early-stage breast cancer.
J Clin Oncol. 2015;33(9):1053-1059.
PubMedGoogle ScholarCrossref 13.Austin
PC. Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies.
Pharm Stat. 2011;10(2):150-161.
PubMedGoogle ScholarCrossref 14.Austin
PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples.
Stat Med. 2009;28(25):3083-3107.
PubMedGoogle ScholarCrossref 15.Gayat
E, Resche-Rigon
M, Mary
JY, Porcher
R. Propensity score applied to survival data analysis through proportional hazards models: a Monte Carlo study.
Pharm Stat. 2012;11(3):222-229.
PubMedGoogle ScholarCrossref 16.Fine
JP, Gray
RJ. A proportional hazards model for the subdistribution of a competing risk.
J Am Stat Assoc. 1999;94(446):496-509.
Google ScholarCrossref 17.Grambsch
PM, Therneau
TM. Proportional hazards tests and diagnostics based on weighted residuals.
Biometrika. 1994;81(3):515-526.
Google ScholarCrossref 20.Tsai
YC, Phan
K, Munkholm-Larsen
S, Tian
DH, La Meir
M, Yan
TD. Surgical left atrial appendage occlusion during cardiac surgery for patients with atrial fibrillation: a meta-analysis.
Eur J Cardiothorac Surg. 2015;47(5):847-854.
PubMedGoogle ScholarCrossref 21.Wolf
PA, Abbott
RD, Kannel
WB. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study.
Stroke. 1991;22(8):983-988.
PubMedGoogle ScholarCrossref 22.O’Brien
EC, Kim
S, Hess
PL,
et al. Effect of the 2014 atrial fibrillation guideline revisions on the proportion of patients recommended for oral anticoagulation.
JAMA Intern Med. 2015;175(5):848-850.
PubMedGoogle ScholarCrossref 23.Kirchhof
P, Benussi
S, Kotecha
D,
et al. 2016 ESC guidelines for the management of atrial fibrillation developed in collaboration with EACTS.
Europace. 2016;18(11):1609-1678.
PubMedGoogle ScholarCrossref 24.Yao
X, Abraham
NS, Alexander
GC,
et al. Effect of adherence to oral anticoagulants on risk of stroke and major bleeding among patients with atrial fibrillation.
J Am Heart Assoc. 2016;5(2):e003074.
PubMedGoogle ScholarCrossref 25.O’Brien
EC, Holmes
DN, Ansell
JE,
et al. Physician practices regarding contraindications to oral anticoagulation in atrial fibrillation.
Am Heart J. 2014;167(4):601-609.
PubMedGoogle ScholarCrossref 26.Piccini
JP, Sievert
H, Patel
MR. Left atrial appendage occlusion: rationale, evidence, devices, and patient selection.
Eur Heart J. 2017;38(12):869-876.
PubMedGoogle Scholar 27.Greenberg
JW, Lancaster
TS, Schuessler
RB, Melby
SJ. Postoperative atrial fibrillation following cardiac surgery.
Eur J Cardiothorac Surg. 2017;52(4):665-672.
PubMedGoogle ScholarCrossref 30.Kumamaru
H, Judd
SE, Curtis
JR,
et al. Validity of claims-based stroke algorithms in contemporary Medicare data.
Circ Cardiovasc Qual Outcomes. 2014;7(4):611-619.
PubMedGoogle ScholarCrossref 32.Kokotailo
RA, Hill
MD. Coding of stroke and stroke risk factors using
International Classification of Diseases, revisions 9 and 10.
Stroke. 2005;36(8):1776-1781.
PubMedGoogle ScholarCrossref 33.Jensen
PN, Johnson
K, Floyd
J, Heckbert
SR, Carnahan
R, Dublin
S. A systematic review of validated methods for identifying atrial fibrillation using administrative data.
Pharmacoepidemiol Drug Saf. 2012;21(suppl 1):141-147.
PubMedGoogle ScholarCrossref 34.Noseworthy
PA, Yao
X, Abraham
NS, Sangaralingham
LR, McBane
RD, Shah
ND. Direct comparison of dabigatran, rivaroxaban, and apixaban for effectiveness and safety in nonvalvular atrial fibrillation.
Chest. 2016;150(6):1302-1312.
PubMedGoogle ScholarCrossref 35.Yao
X, Shah
ND, Sangaralingham
LR, Gersh
BJ, Noseworthy
PA. Non-vitamin K antagonist oral anticoagulant dosing in patients with atrial fibrillation and renal dysfunction.
J Am Coll Cardiol. 2017;69(23):2779-2790.
PubMedGoogle ScholarCrossref 36.Fan
J, Arruda-Olson
AM, Leibson
CL,
et al. Billing code algorithms to identify cases of peripheral artery disease from administrative data.
J Am Med Inform Assoc. 2013;20(e2):e349-e354.
PubMedGoogle ScholarCrossref 37.Yao
X, Tangri
N, Gersh
BJ,
et al. Renal outcomes in anticoagulated patients with atrial fibrillation.
J Am Coll Cardiol. 2017;70(21):2621-2632.
PubMedGoogle ScholarCrossref