Survival after Aortic Valve Replacement for Aortic Regurgitation

Prediction from Preoperative Contractility Measurement

  • Borer, Jeffrey S.
  • Supino, Phyllis G.
  • Herrold, Edmund McM.
  • Innasimuthu, Antony
  • Hochreiter, Clare
  • Krieger, Karl
  • Girardi, Leonard N.
  • Isom, O. Wayne
Cardiology 140(4):p 204-212, October 2018. | DOI: 10.1159/000490848

Background: Noninvasive measurement of myocardial contractility (end-systolic wall stress-adjusted change in left ventricular ejection fraction from rest to exercise [ΔLVEF – ΔESS]) predicts heart failure, subnormal LVEFrest, and sudden death in asymptomatic patients with chronic severe aortic regurgitation (AR). Here we assess the relation of preoperative ΔLVEF – ΔESS to survival after aortic valve replacement (AVR). Methods: Patients who underwent AVR for chronic, isolated, pure severe AR (n = 66) were followed for 13.0 ± 6.4 event-free years. Preoperative ΔLVEF – ΔESS (from combined echocardiographic and radionuclide cineangiographic data) enabled cohort stratification into 3 terciles (–1 to –11% [normal or mild] contractility deficit, –12 to –16% [moderate], and ≤–17% [severe], identical with segregation in our earlier study) to relate preoperative contractility to postoperative survival and to age- and gender-matched US census data. Results: Since AVR, 22 patients died (average annual risk [AAR] for all-cause mortality for the entire co hort = 3.15%). Preoperative ΔLVEF – ΔESS predicted postoperative survival (p = 0.009, log rank test). By contractility terciles, all-cause AARs were 1.44, 2.58, and 6.40%. Survival was lower than among US census comparators (p < 0.02), but the “mild” tercile was indistinguishable from census data (p = ns). By multivariable Cox regression, survival prediction by pre-AVR ΔLVEF – ΔESS was independent of, and superior to, prediction by age at surgery, gender, preoperative functional class, LVEFrest, LVEFexercise, change in LVEFrest to exercise, and LV diastolic or systolic dimensions (p ≤ 0.01, pre-AVR ΔLVEF – ΔESS vs. other covariates). Conclusion: In severe AR, preoperative contractility predicts post-AVR survival and may be prognostically superior to clinical, geometric and performance descriptors, potentially impacting on patient selection for surgery.

Introduction

When severe, aortic regurgitation (AR) gradually leads to irreversible left ventricular (LV) dysfunction, heart failure (HF), and death. Indeed, sudden death occurs in asymptomatic patients when intrinsic myocardial dysfunction is severe, even if LV ejection fraction (EF) is normal []. After aortic valve replacement (AVR) for AR, patients who were symptomatic before AVR manifest symptom reduction and, probably, better survival [, ] than expected from the natural progression of the disease. Myocardial damage from exogenous mechanical overloads mediates debility and death in AR. Therefore, AVR is appropriate when irreversible dysfunction is imminent []. In support of this strategy, survival after AVR is poorer when LVEF is subnormal than when normal [], even if symptoms have not yet developed []. Moreover, LVEF gradually falls in patients with AR [, ], postoperative survival deteriorates as preoperative LVEF falls progressively below normal [], and survival is affected independently by LVEF and by symptoms []. Therefore, delaying AVR until symptom onset in the asymptomatic patient is likely to compromise long-term survival []. However, it is difficult to know when irreversible dysfunction or symptoms are imminent. Moreover, evidence for commonly employed objective predictors of post-AVR prognosis is relatively scant [, ]. Randomized trials to define optimal timing of surgery have not been performed. Objective criteria for surgery generally are identified from comparison of matched observational cohorts that have and have not undergone AVR. Several empirically useful measures of LV size and EF thus have been accepted as indications for surgery even among asymptomatic patients []. However, when symptoms are absent and LVEF is normal at rest, earlier work by us [] and others [] suggests that development of clinically evident HF [], subnormal LVEF at rest or sudden death in the absence of AVR are best predicted by intrinsic myocardial contractility [, ], which can be measured noninvasively []. Though suggested by small studies usually admixing several different valve lesions [-], the post-AVR prognostic utility of preoperative contractility is less well defined. Therefore, among an established cohort of patients with AR who underwent AVR, we aimed to relate postoperative survival to preoperative contractility and to compare the predictive value of this measure with previously established risk predictors [, , , ]. In addition, we compared survival rates with those derived from contemporaneous age- and gender-matched US census data.

Methods

Patient Selection

The study population was drawn from our prospective assessment of the natural history of regurgitant valve diseases and their predictors, ongoing for 30 years. Study details, including entry criteria for patients, have been described previously [, -]. At preoperative testing, all patients manifested hemodynamically severe AR confirmed at cardiac catheterization [, ], without prior AVR, clinically evident coronary artery disease (documented myocardial infarction [MI] or angina) or hemodynamically important coronary obstructions at catheterization if coronary angiography was performed prior to AVR. At the time of analysis, 120 members of the cohort satisfied these criteria. Patients were then excluded if they had cardiac surgery in addition to AVR (10 patients), pre-AVR transvalvular systolic gradient > 10 mm Hg or more than mild aortic stenosis by Doppler echocardiography (9 patients), more than mild mitral regurgitation (2 patients), or if they lacked preoperative echocardiography (8 patients) or preoperative radionuclide cineangiography (4 patients), or if > 1 day separated echocardiogram and radionuclide cineangiogram (2 patients), or if > 1 year separated AVR and preoperative testing (3 patients), or combinations of these criteria (16 patients). The 66 patients remaining after these exclusions comprise the study cohort. For this analysis, evaluation began at the pre-AVR index study which, as above, invariably occurred < 1 year prior to surgery (average 2.7 ± 2.9 months, range 0.03–10.77). Pre-AVR assessment comprised clinical evaluation plus several objective tests, including echocardiography at rest and radionuclide cineangiography at rest and during exercise as described previously [, , , , ]. Medical therapy and decisions for surgery were not influenced by the study protocol.

Assessment of Preoperative Contractility

Prior to AVR, M-mode and 2-dimensional echocardiography were performed as previously described [-]. American Society of Echocardiography recommendations [] were followed for M-mode measurements of end-diastolic and end-systolic LV wall thicknesses, LV internal dimensions at diastole (LVIDd) and systole (LVIDs), and left atrial dimensions. LV mass was calculated as previously described []. End-systolic stress (ESS) at rest was defined using the method of Reichek et al. []: ESS = (0.334 × SBP × LVIDs) / (PWTs [1 + PWTs/LVIDs]), where SBP is systolic blood pressure and PWTs is posterior wall thickness in systole. LV end-systolic volume and LV end-diastolic volume were determined from LVIDs and LVIDd as per Teichholz et al. [].

Radionuclide cineangiography was performed at a supine position at rest and during maximal, symptom-limited bicycle exercise using an electrocardiographically gated equilibrium method analogous to our earlier description [, ]. Red blood cells were technetium-labeled using a standard in vivo method involving intravenous injection of stannous pyrophosphate and 15–25 mCi of technetium-99m. Our exercise protocol begins at a load of 25 W, generally increasing by 25 W at 2-min intervals until limited by fatigue, dyspnea or hemodynamically important arrhythmias. Exercise LVEF is defined at peak exercise, generally involving at least the last 90 s of data collection. LVEF is determined using an emission (count)-based approach analogous to our earlier reports [-], validated by comparison with contrast angiography at rest and exercise [].

ESS during exercise was based on the assumption of conservation of mass from rest to exercise; SBP during exercise (cuff sphygmomanometry) was applied to resting echocardiographic wall thicknesses and chamber dimensions and modified from exercise-induced changes in LV chamber volumes from radionuclide cineangiograms, as previously described []. Logistic difficulties associated with nuclear camera positioning precluded concurrent performance of echocardiography and radionuclide cineangiography. Data for these calculations were from studies usually performed sequentially during the same visit.

Because logarithmic transformation of ESS improves prediction of LV chamber function [], each of 3 indices (LVEFrest normalized for ESSrest, LVEFexercise normalized for ESSexercise, and ΔLVEFrest to exercise normalized for ΔESSrest to exercise) was defined using the natural log of ESS; the relation between the LVEF and ESS variables was defined by least squares linear regression. Studies in 26 normal subjects were used in regression equations to define the relations between rest, exercise and ΔLVEF and the corresponding ESS variable; from these, the average value of each LVEF variable expected to be associated with a specific value of ESS was defined for normal subjects, as previously reported, for functional stratification by echocardiography [, ] alone and combined with radionuclide cineangiography []. The LVEF variable empirically measured for each patient was then subtracted from the LVEF variable expected in a normal subject at the same ESS. The difference, the ΔLVEF – ΔESS (or “LVEF-ESS index”) variable, was used in statistical analyses; a negative value indicates a “contractility deficit.” By prespecification, patients were subdivided into the 3 contractility terciles found to define prognostically important differences in our earlier publication []. In the current analysis, patients in these prespecified subgroupings serendipitously also formed statistically valid terciles; thus, the current study population is divided into no/mild (ΔLVEF – ΔESS = –1 to –11%), moderate (–12 to –16%) and severe (≤–17%) contractility deficit terciles.

Follow-Up and Analysis

Clinical follow-up continued annually after AVR by direct patient evaluation, telephone interview or review of primary physician charts until death, subsequent valve surgery, or until close of data collection in December 2011. The vital status of patients who were lost to follow-up was confirmed via a search of the Pension Benefit Information Participant Research Services Death Audit [] database. Average event-free follow-up was 13.0 ± 6.4 years (range 0.6–26.0).

Kaplan-Meier product limit estimate curves were compared by log rank testing to provide univariable assessment of the relation of preoperative contractility deficit to post-AVR death (all causes) or to cardiovascular death (including sudden deaths and deaths due to HF, MI, stroke, endocarditis, and perioperative cardiac tamponade). These events were assessed as statistical terciles with test for linear trend. The one-sample log rank test [] was used to compare survival in the entire cohort and its contractility-defined subgroups with the survival of age- and gender-matched comparators from the US census. Follow-up of patients who underwent repeat valvular surgery or other invasive therapies (e.g., defibrillator implantation) was censored as alive at the time of occurrence. A series of forward conditional multivariable Cox proportional hazards models (entry and removal thresholds, p < 0.05 and p < 0.10, respectively) was constructed to determine the independent predictive value of preoperative contractility deficit for mortality prediction versus selected preoperative clinical risk factors, hemodynamic variables, and functional and other descriptors measured during preoperative radionuclide study or echocardiography versus intraoperative variables. To facilitate interpretation, variables entered into each Cox model were partitioned according to the same segregation values used for univariate analyses. The critical alpha level for defining statistical significance both in univariable and multivariable analysis was 0.05. All data were analyzed using SPSS v16.0 (Chicago, IL, USA).

Results

Baseline Characteristics

Clinical characteristics and objective measures of LV size and performance at index study are presented in Table 1. Mean age was 49 ± 15 years; subjects were predominantly male; AR etiology was predominantly idiopathic. Pre-AVR, most patients were taking digoxin chronically, either alone or in combination with other cardiac therapy. Artificial mechanical prostheses were employed in half the patients. Since hemodynamically important CAD at preoperative catheterization was a basis for exclusion from analysis, no patient in this series underwent concomitant coronary artery bypass grafting.

Events during Follow-Up

During follow-up, 22 patients died without intercurrent operation, including 15 cardiovascular deaths: sudden (6 patients), HF (3 patients), stroke (3 patients), MI (1 patient), endocarditis (1 patient), perioperative cardiac tamponade (1 patient); 7 died of putative noncardiovascular cause: liver cancer, prostate cancer, cytomegaloviral pneumonia, dementia-related aspiration, lupus-related kidney failure, HIV-positive acute liver failure, suicide (1 patient each); 17 patients were censored from further follow-up after subsequent cardiac surgery: AVR (10 patients), mitral valve replacement/repair (MVR/r, 2 patients), combined AVR and MVR/r (3 patients), combined MVR and tricuspid valve repair (1 patient), and pacemaker implantation (1 patient). Average annual risk (AAR) of all causes of death among the entire cohort was 3.15% (AAR of cardiovascular death was 2.15%).

Survival Prediction

By univariable analysis, pre-AVR ΔLVEF – ΔESS (contractility) significantly predicted postoperative survival. When this measure fell within our prespecified no/mild deficit tercile (22 patients), AAR after AVR was 1.44%; for the moderate deficit tercile (23 patients), AAR was 2.58%; for the severe deficit tercile (21 patients), AAR was 6.40% (p = 0.009, Fig. 1). Results were parallel when analysis was restricted to cardiovascular death: AAR = 0.72, 2.15, and 4.27% (no/mild, moderate, and severe terciles, respectively, p = 0.02, Fig. 1).

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Fig. 1

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Relationship of the ΔLVEF – ΔESS index at study entry (the time of the pre-aortic valve replacement [AVR] assessment) to cumulative survival (based on all-cause death and cardiovascular death) after AVR (n = 66). The left panel depicts results of all-cause death. The right panel depicts results of cardiovascular death (for definition, see text). In both panels, the dotted line represents the no/mild contractility deficit subgroup (n = 22), the dashed line represents the moderate contractility deficit subgroup (n = 21), and the solid line represents the severe contractility deficit subgroup (n = 23). AAR, average annual risk.

For the entire study cohort, freedom from all causes of death was less than in the age- and sex-matched US census data (p < 0.02, Fig. 2). However, for the no/mild contractility deficit tercile, survival was indistinguishable from the census comparator (p = ns, Fig. 2).

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Fig. 2

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Survival of AVR cohort versus gender- and age-matched US census comparators. The left panel depicts members of the cohort in the no/mild contractility deficit subgroup (n = 22) versus US census comparators. The solid line represents the no/mild contractility deficit subgroup; the dashed line represents the US census comparators. The right panel depicts all members of the cohort (n = 66) versus US comparators. The solid line represents the cohort; the dashed line represents the US census comparators.

By multivariable Cox regression analysis, the predictive value of low pre-AVR ΔLVEF – ΔESS for all-cause mortality was independent of, and superior to, mortality prediction by age, gender, NYHA functional class, cross-clamp time, mechanical or bioprosthetic valve replacement, etiology, LVEFrest, LVEFexercise, ΔLVEFrest to exercise, LVIDs, LVIDd, fractional shortening, and preoperative medication use (digoxin, other cardiac medications, and combinations; (p ≤ 0.01, ΔLVEF – ΔESS vs. other covariates), entering first or exclusively in the final step of each model. Contractility was a similarly predictive value when analysis was limited to cardiovascular death (p < 0.04). Cox model analysis also revealed lack of interaction (ns [all interaction terms]) between pre-AVR ΔLVEF – ΔESS and NYHA functional class (I vs. II–IV or I–II vs. III–IV) or etiology (idiopathic, rheumatic, other) on prediction of post-AVR survival (freedom from all causes of death and from cardiovascular death); consistent with this finding, univariable analysis, undertaken post hoc within these subgroups, showed significantly (p = 0.002–0.046) or nominally (p > 0.10) poorer survival among patients in the severe contractility deficit tercile versus the other two terciles, mirroring patterns found for the entire cohort. Data were further analyzed by segregating patients into no/mild symptoms (functional classes I–II) and moderate/severe symptoms (functional classes III–IV). All-cause mortality and cardiovascular mortality based on ΔLVEF – ΔESS for both groups are shown in Figure 3. The small numbers of events in individual functional classes precluded meaningful comparison of one single class versus another.

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Fig. 3

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Relationship of ΔLVEF – ΔESS and mortality in patients organized according to NYHA functional class. a Functional class I/II. b Functional class III/IV. In both a and b, the left panel indicates all-cause mortality and the right panel presents cardiovascular mortality. The dotted lines represent patients with ΔLVEF – ΔESS of between +5 and –11%, dashed lines are patients with ΔLVEF – ΔESS of –12 to –16% and the solid lines are patients with ΔLVEF – ΔESS of –17 to –32%.

Discussion

Our findings demonstrate that noninvasive measurement of myocardial contractility (ΔLVEF – ΔESS) predicts late postoperative survival after AVR for AR. The predictive value of the contractility descriptor is independent of, and nominally superior to, previously employed clinical and objective indices in this population. This finding is consistent with our earlier report of contractility measurement to predict clinical outcome in patients with AR without prior AVR. The efficacy of preoperative contractility in predicting postoperative outcome is also consistent with earlier studies that have assessed performance descriptors, like LVEF and fractional shortening, which depend in part on contractility, and on the few relatively small studies in which contractility was measured by other methods in patients with a variety of valve diseases in which development of symptoms and “high-risk” LV dimensions (not mortality) were considered as outcome measures [].

Other measures of LV dimensions and performance have been effective in prognostication in unoperated and operated patients. Subnormal LVEF is associated with relatively rapid progression to symptoms or death in asymptomatic unoperated patients with AR [] and with relatively poor survival after AVR [, -] compared with patients with normal LVEF [, , ]. Moreover, though an increase in LVEF generally follows AVR (albeit not reaching the maximum until an interval exceeding 2 years []), patients with preoperatively subnormal LVEF may fail to improve after AVR. In both retrospective [-] and prospective studies [, , , ], other LV performance descriptors, such as resting fractional shortening, exercise LVEF and ΔLVEFrest to exercise as well as LV dimensions, have predicted outcome after AVR. Small, older studies, though not focusing on survival, suggest that irreversible myocardial contractile dysfunction before AVR may presage persistent myocardial dysfunction after AVR. More recently, LV global longitudinal strain was found to be a prognosticator for survival after AVR in a homogeneous group of patients with preserved LVEF []. However, this does not take into consideration the effects of loading conditions and changes in loading conditions (rest → exercise) on the LVEF due to blood pressure, a deficiency not present in the current study. Nonetheless, these studies do support inclusion of a more precise assessment of LV function in determining the prognosis of patients with chronic severe AR. Previous studies further suggest that contractile function is superior as a predictor of irreversible post-AVR myocardial dysfunction than preoperative LV dimensions or LVEF [], supporting the likelihood of its utility for clinical outcome prediction. However, contractility has not been previously studied for prediction of survival after AVR for severe AR. Nonetheless, in the single prospective study in which it was evaluated [], intrinsic myocardial contractility was superior to LVEF or dimension descriptors in predicting outcome in asymptomatic and minimally symptomatic unoperated patients with severe AR, suggesting its probable utility for post-AVR prediction. In theory, intrinsic myocardial contractility has advantages over performance and size descriptors in assessing clinical sequelae. Measures of contractility, as a group, are relatively load independent, unlike LVEF and dimensions []. The importance of LV loads in dissociating LVEF from contractility has been suggested by Scognamiglio et al. [] who found that, among patients who underwent AVR with subnormal LVEF, 10-year postoperative survival was 85 ± 4% in hypertensive patients receiving pharmacological unloading treatment compared to 78 ± 5% in patients not receiving such therapy, despite similar LVEF and LV diastolic and systolic volumes. Hence, myocardial contractility may be a more accurate reflection of myocardial status and subsequent clinical results than surrogates like LVEF or dimensions/volumes.

In an earlier era, onset of symptoms was generally employed as the primary indication for AVR in AR; symptoms remain an appropriate basis for AVR. AVR will reduce or relieve symptoms and probably will improve survival in the symptomatic patient. However, available data suggest that intrinsic myocardial dysfunction often precedes the onset of symptoms (and development of subnormal LVEF, a well-accepted indication for AVR). Thus, in theory, the contractility measure should be more useful in prognostication and patient selection than other criteria now employed. The data from this study support this hypothesis. Increasing emphasis has been placed on myocardial biology to compensate for the prognostic inadequacies of conventional size and performance descriptors in AR [-]; intrinsic contractility may prove an integrator of these various biological responses.

Inferences from observational series support consensus guidelines defining indications for AVR, but no randomized trials have assessed the life-prolonging efficacy of surgery. The result has been uncertainty as to appropriate bases for surgery, particularly in asymptomatic patients. However, as outcomes after conventional surgical AVR progressively improve, and as relatively less morbid percutaneous approaches for AVR in AR eventually are developed, benefit/risk considerations may favor earlier application of AVR than currently []. In the absence of randomized trials, the current findings, together with our earlier study of nonoperated patients (most of whom entered the study during approximately the same temporal interval as this AVR cohort and, thus, were studied contemporaneously for many years), suggest that noninvasive measurement of intrinsic contractility may be a particularly appropriate basis for optimizing selection of patients for surgery. Given the relatively poorer predictive value of conventional prognostic criteria, suggested by our data, the use of noninvasive contractility measures, like that one employed here, appears potentially useful.

Study Limitations

Our study is a longitudinal observational analysis and is subject to all possible limitations of such studies, including selection and referral biases. Approximately half our patients had idiopathic AR and one quarter had rheumatic AR. Findings from this study may be most applicable to these etiologic groups, though these and other etiologies represented in the sample did not differ substantially in outcome from the results as a whole. In addition, most of our patients were men. Thus, our results may not be optimally generalizable to women, who are more likely than men to develop patient-prosthesis mismatch post-AVR and, consequently, to manifest poor outcomes more frequently than men []. Nonetheless, the size of our population is consistent with others from which current guidelines have been drawn.

Conclusions

Preoperative noninvasive myocardial contractility measurement effectively predicts post-AVR survival. Contractility measurement may be superior for such prediction to the presence or absence of symptoms or to measures of LV dimensions or performance. Since myocardial dysfunction generally occurs before symptom onset, contractility may be particularly useful in identifying asymptomatic patients for whom AVR is appropriate, though this hypothesis requires further study for rigorous support. Taken together with our earlier data using this same measure to predict outcome among unoperated patients with AR, which directly parallel the current findings, these results strongly suggest that noninvasive myocardial contractility measurement should be routinely employed in the evaluation of patients with AR.

Acknowledgment

During the performance of this work, Dr. Borer was supported in part as The Gladys and Roland Harriman Professor of Cardiovascular Medicine, Dr. Krieger as The Michel Bergerac Professor of Cardiothoracic Surgery, and Dr. Isom as The Terry Allen Kramer Professor of Cardiothoracic Surgery, Weill Cornell Medical College; in addition, this work was supported by grants from the National Heart Lung and Blood Institute, Bethesda, MD (RO1-HL-26504, J. Borer, P.I.), The Howard Gilman Foundation, New York, N.Y., The Schiavone Family Foundation, White House Station, N.J., The Charles and Jean Brunie Foundation, Bronxville, N.Y., The David Margolis Foundation, New York, N.Y., The American Cardiovascular Research Foundation, New York, N.Y., The Irving A. Hansen Foundation, New York, N.Y., The Mary A.H. Rumsey Foundation, New York, N.Y., The Messinger Family Foundation, New York, N.Y., The Daniel and Elaine Sargent Charitable Trust, New York, N.Y., and by much appreciated gifts from Donna and William Acquavella, New York, N.Y., Maryjane Voute Arrigoni and the late William Voute, Bronxville, N.Y., Gerald Tanenbaum, New York, N.Y., and Suzanne and the late Stephen Weiss, Greenwich, CT.

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