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Ann Thorac Surg 1998;66:1698-1704
© 1998 The Society of Thoracic Surgeons
a Division of Cardiovascular Surgery, The Toronto Hospital, Toronto, Ontario, Canada
Accepted for publication May 28, 1998.
Address reprint requests to Dr Ralph-Edwards, Division of Cardiovascular Surgery, Toronto Hospital, General Division, 200 Elizabeth St, EN13-239, Toronto, ON M5G 2C4, Canada
e-mail: (aralph-edwards{at}torhosp.toronto.on.ca)
| Abstract |
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Methods. Data were collected prospectively for 10,421 consecutive patients who had cardiac operations between January 1990 and December 1995. Two hundred fifty-five patients (2.4%) were identified as having received a permanent pacemaker during the same hospitalization. Logistic regression analysis was performed to determine the independent, multivariate predictors of permanent pacing. The predictive accuracy and precision of the logistic regression model was evaluated in the 1996 database of 2,236 consecutive patients by the calculation of Brier scores.
Results. Eight independent predictors of permanent pacemaker requirement were identified. The factor-adjusted odds ratios (OR) with 95% confidence interval (CI) associated with each predictor are as follows: (1) valve replacement surgery (aortic: OR 5.8, CI 3.98.7; mitral: OR 4.9, CI 3.17.8; tricuspid: OR 8.0, CI 5.511.9; double: OR 8.9, CI 5.514.6; and triple: OR 7.5, CI 2.919.3); (2) repeat operation: OR 2.4, CI 1.83.3; (3) age 75 years or older: OR 3.0, CI 2.04.4; (4) ablative arrhythmia operation: OR 4.2, CI 1.99.5; (5) mitral valve annular reconstruction: OR 2.4, CI 1.44.2; (6) use of cold blood cardioplegia: OR 2.0, CI 1.23.6; (7) preoperative renal failure: OR 1.6, CI 1.02.6; and (8) active endocarditis: OR 1.7, CI 0.93.0. A model for postoperative permanent pacemaker requirement using the eight predictors was formulated and tested (Brier score = 0.017 ± 0.003; Z = 0.18).
Conclusions. The proposed predictive model correlated highly with actual pacemaker use, which suggests that the requirement for pacing results from either operative trauma or increased ischemic burden. Preoperative identification of patients at increased risk of conduction disturbances may allow for earlier detection and improved treatment. Patients requiring postoperative pacing had increased morbidity and length of stay.
| Introduction |
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Damage to the sinoatrial node or conduction system of the heart represents the primary indication for postoperative pacemaker insertion. Mechanical trauma to the conduction system is the most common contributing factor, arising secondary to valvular operation, myectomy for hypertrophic obstructive cardiomyopathy, or repair of ventricular septal defect. Alternatively, ischemic injury to the sinoatrial node or conduction system might occur during any cardiac procedure as a result of inadequate intraoperative myocardial protection. Finally, sinoatrial node dysfunction or heart block may occur in cardiac patients as a result of preexisting, and possibly previously unrecognized, anatomic or physiologic abnormalities.
The indications for permanent pacemaker (PP) insertion after cardiac operations include bradycardia (sinus node dysfunction), atrioventricular conduction block, and fascicular block [6]. Previous studies identified several risk factors associated with a requirement for PP insertion, including advanced age, unstable angina, timing of operation, multivessel coronary artery disease, valvular operation (especially aortic, tricuspid, or multiple valves), preoperative rhythm abnormalities, postoperative myocardial infarction, female sex, and reoperation [14].
Although some evidence exists to suggest that blood cardioplegia may increase the risk of PP insertion, reports are conflicting [7]. Compromised septal blood flow has been shown to promote the development of conduction abnormalities and might, thus, increase the risk of PP insertion [8]. Ventricular dilatation secondary to aortic insufficiency has been associated with progression of conduction defects long after valve replacement [9]. Valve operations for active endocarditis and surgical re-exploration are also associated with the subsequent need for PP insertion. Although the occurrence of new atrioventricular conduction defects after coronary artery bypass grafting is related to the number of vessels bypassed as well as cardiopulmonary bypass time and aortic cross-clamp time, most new atrioventricular conduction defects in such circumstances resolve and do not require PP insertion [10].
Patients requiring permanent pacemaker implantation after cardiac operation have prolonged hospital stays compared with nonpaced counterparts [1, 4]. Ventilation times and intensive care unit stays are also longer in patients requiring postoperative permanent pacing [1]. Preoperative identification of patients at increased risk for PP insertion may permit modification of operative techniques or cardioplegic maneuvers to prevent postoperative conduction abnormalities.
| Material and methods |
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Postoperative indications for permanent pacing included persistent second- and third-degree heart block (more than 5 days), intermittent heart block, symptomatic bradycardia, or heart rate less than 40 beats per minute (persisting more than 5 days postoperatively).
The outcome of interest was the postoperative requirement for a new permanent pacemaker. One hundred thirty-four variables from the cardiac operation database were analyzed, and the variables considered to be potential risk factors were identified (Appendix 1).
Statistical analysis
Data were collected and managed in dBASEIV datasets. The SAS for PC (SAS Institute, Cary, NC) and BMDP/DYN LR (BMDP Statistical Software Inc, Los Angeles, CA) programs were used for statistical analyses [1215].
The contemporary univariate association between the insertion of a PP and explanatory variables in our clinical database was examined by t tests for continuous variables and
2 or Fishers exact test for categoric variables. To determine the independent predictors of postoperative pacing, all explanatory variables with a univariate p value less than 0.25 or those of known biologic importance but failing to meet the critical alpha level were submitted to logistic regression analyses using forward selection combined with backward elimination (BMDP LR program).
Model accuracy was evaluated by calculating the area under the receiver-operator characteristic curve [12, 13]. Model precision was evaluated by calculating the Hosmer-Lemeshow goodness-of-fit statistic [16] as well as Brier scores, as previously described [14]. Briefly, the Brier score quantifies accuracy and precision, at the individual patient level, for predicted probabilities versus the actual outcomes. This penalty score ranges in value from 0 to 1. The smaller the Brier score, the more accurate the judgment for each individual patient. We calculated Z scores for overall (or mean) Brier scores for the entire patient sample. A Brier score with a Z score of -1.96 or less, or greater than 1.96 indicated a significant difference between the predicted probability and observed outcome, and thus, poor precision. Regression coefficients from the predictive model were applied to the 1996 dataset, and a predictive probability of pacing was calculated for each patient.
| Results |
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Predictors of permanent pacemaker insertion
Table 3 demonstrates the independent predictors of PP requirement. Nineteen prognostic variables were identified by univariate analysis. Stepwise logistic regression analysis of these variables identified a model of eight independent predictors for PP requirement. The factor-adjusted odds ratio (OR) and 95% confidence intervals (CI) associated with each predictor were as follows: (1) valve replacement operations: (a) aortic: OR 5.8, CI 3.98.7 (PP-dependent, 46.7%; nonPP-dependent, 15.4%); (b) mitral: OR 4.9, CI 3.17.8 (33.7%, 10.9%); (c) tricuspid: OR 8.1, CI 5.511.9 (8.6%, 1.7%); (d) double valve replacement: OR 8.9, CI 5.514.6 (14.9%, 22.5%); (e) triple valve replacement: OR 7.5, CI 2.919.3 (2.6%, 4.6%); (2) repeat operation: OR 2.4, CI 1.83.3 (38.5%, 18.4%); (3) age 75 years or older: OR 3.0, CI 2.04.4 (36.5%, 23.2%); (4) ablative arrhythmia operation: OR 4.2, CI 1.99.5 (3.1%, 0.4%); (5) mitral valve annular reconstruction: OR 2.4, CI 1.44.2 (6.3%, 0.66%); (6) use of cold blood cardioplegia: OR 2.0, CI 1.23.6 (93.7%, 85.4%); (7) preoperative renal failure: OR 1.6, CI 1.02.6 (10.6%, 4.9%); and (8) active endocarditis: OR 1.7, CI 0.923.0 (6.6%, 1.1%).
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where x is the sum of the regression coefficients (Appendix 2). The area under the receiver-operator characteristic curve is 0.8036, indicating good accuracy of this model for the detection of PP requirement. The Hosmer-Lemeshow goodness-of-fit value of 9.5 (p = 0.3) indicates the absence of any significant difference between the outcome predicted by the model and the observed data.
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| Comment |
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The need for postoperative pacing likely arises by one of two routes: (1) operative procedures in close physical proximity to the sinoatrial or atrioventricular nodes or the His bundle might result in trauma to the conduction system; or (2) extensive coronary artery disease might compromise myocardial protection during intraoperative cardioplegic arrest, thus facilitating ischemic injury to the conduction system.
Increased risk of physical damage to the conduction system is present in patients who have redo valve operations, multiple valve replacement, and debridement or reconstructive operation for active endocarditis. Similarly, debridement of a heavily calcified aortic annulus after excision of the aortic valve might be the source of significant trauma to the conduction system. Finally, during complex congenital lesions, the precise location of conduction pathways might not be fully ascertained, and inadvertent or unavoidable damage may result.
Preexisting compromise to the conduction system is more common in patients with extensive coronary artery disease. Moreover, adequate and uniform intraoperative myocardial protection might be difficult to achieve in such patients, leading to perioperative myocardial infarction and low output syndrome, further exacerbating postoperative conduction disturbances. Although cold blood cardioplegia represents an independent risk factor for PP requirement, this finding might be related to differences in the technique of cardioplegic delivery (in comparison to warm or tepid techniques) rather than temperature alone. Whereas hypothermic blood cardioplegia is most often administered as intermittent antegrade doses at our institution, normothermic cardioplegia requires continuous delivery to ensure its effectiveness [1719]. Such continuous methods provide improved myocardial protection and might reduce the incidence of postoperative conduction disturbances. The finding of transient pacer dependency in some patients suggests a short-term ischemic origin, which might improve with adequate reperfusion [1].
In the current series, the requirement for postoperative permanent pacing tended to occur in older patients who had nonelective procedures. The typical complex nature of the operative procedures performed in such high-risk patients was reflected in significantly prolonged cardiopulmonary bypass and aortic cross-clamp times. Additional preoperative risk factors for permanent pacing included advanced New York Heart Association status, renal insufficiency, and congestive heart failure. Postoperatively, such patients experienced significantly longer intensive care unit and hospital stays in comparison to their nonpaced counterparts. Although mortality was not significantly different between groups, coronary artery bypass grafting patients requiring postoperative pacing demonstrated an increased incidence of low output syndrome, postoperative stroke, and perioperative myocardial infarction. In patients who had valvular or other operations, there was an increased incidence of permanent pacing in cases of reoperation or active endocarditis.
We have identified eight independent risk factors for PP insertion, five of which relate to physical trauma to the conduction system (valve operation, repeat operation, ablative arrhythmia operation, mitral annulus reconstruction, and active endocarditis), the rest of which relate to increased ischemic burden (age 75 years or older, renal failure) or suboptimal intraoperative myocardial protection (use of cold blood cardioplegia). By applying the multivariate regression coefficients, a model to determine the probability of subsequent pacemaker requirement was successfully formulated and tested. Consecutive patients who had cardiac surgical procedures between January and December 1996 (none of whom were included in the original analysis) were used to test the predictive model. This analysis found the model to be highly correlated with actual pacemaker requirement.
Using the probability formula with the derived coefficients for each factor, we calculated the risk of postoperative permanent pacing for several common patient scenarios (Fig 1). Not unexpectedly, the highest probability was calculated for aortic and mitral valve cases involving reoperation for active endocarditis (29.4% and 26%, respectively). In this situation, the requirement for additional mitral annular reconstruction increased the associated risk to 45.4%. The calculated risk of postoperative pacing after uncomplicated coronary bypass procedures was 0.9%.
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| Acknowledgments |
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| Appendix 1 |
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| Appendix 2 |
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. For example, the predicted probability of permanent pacemaker requirement for a 76-year-old male patient with renal failure undergoing repeat aortic valve replacement with cold blood cardioplegia would be calculated as follows: x = -5.357 + 1.096 + 0.4802 + 0.8822 + 2.187 + 0.716 + 0 + 0 = -0.4228; P = e-0.4228/(1 + e-0.4228) = 0.396 (or 39.6%). | References |
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