Circulation Journal
Online ISSN : 1347-4820
Print ISSN : 1346-9843
ISSN-L : 1346-9843
Cardiovascular Surgery
Predictors and Clinical Impacts of Aggravated Left Ventricular Diastolic Dysfunction After Off-Pump Coronary Artery Bypass Grafting
Seung Hyun LeeKwan Wook KimHyun-Chel JooKyung-Jong YooYoung-Nam Youn
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Supplementary material

2016 Volume 80 Issue 9 Pages 1937-1945

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Abstract

Background: To determine the predictors of aggravated left ventricular diastolic dysfunction (LVDD) in patients undergoing off-pump coronary artery bypass grafting (OPCAB) and to compare late outcomes according to the aggravated LVDD.

Methods and Results: OPCAB was performed in 1,101 patients (2001–2013). LVDD was classified as normal, mild, moderate or severe. Patients were divided into 2 groups: non-aggravated LVDD (group I) and aggravated LVDD (group II). The primary endpoint was aggravation of LVDD. The secondary endpoint was late mortality and morbidity such as major adverse cardiac and cerebrovascular events (MACCE) related to LVDD aggravation postoperatively. There were 894 patients in group I and 207 in group II. Multivariate analysis revealed that preoperative peripheral artery obstructive disease (PAOD) (P=0.04), renal failure (P<0.01), and A′ velocity (P<0.01) anticipated aggravated LVDD. The Cox hazards model revealed that aggravated LVDD was a poor prognostic factor for MACCE (P<0.01) and overall survival (P<0.01). The Kaplan-Meier survival curve showed that aggravated LVDD was related to poor late outcomes (freedom from MACCE, P=0.01; overall survival, P<0.01).

Conclusions: Aggravated LVDD significantly affects late clinical outcomes after OPCAB and preoperative PAOD, renal failure, and A′ velocity might be predictors. (Circ J 2016; 80: 1937–1945)

Left ventricular diastolic dysfunction (LVDD) is related to an abnormality of diastolic distensibility, filling, and relaxation of the LV, regardless of whether the ejection fraction (EF) is normal or abnormal and whether the patient is symptomatic or asymptomatic.1 Tissue Doppler imaging (TDI), which visualizes 3 waveforms during the cardiac cycle (the peak systolic wave, early diastolic wave, and end-diastolic wave produced by atrial contraction), is used to assess LV diastolic function.2 TDI can reveal 3 abnormal ventricular filling patterns: impaired relaxation (mild LVDD), pseudonormalization (moderate LVDD), and restrictive filling (severe LVDD).3 Moderate to severe LVDD can be present in 10% of patients with coronary artery occlusive disease who have neither systolic dysfunction nor history of congestive heart failure (CHF). The presence of moderate to severe LVDD predicts a 6-fold increased risk of CHF and a 4-fold increased risk of death from heart disease.4 LVDD occurs when ventricular filling is impaired either by abnormal relaxation or decreased compliance and is associated with significant morbidity and mortality. In cardiac surgery, especially after coronary artery bypass grafting (CABG), LVDD is a sensitive marker of myocardial ischemia and is associated with a poor prognosis after surgical myocardial revascularization.5 It is also predictive of adverse outcomes and death.3,6 Furthermore, some studies have shown that moderate to severe LVDD was an independent predictor of a worse late outcome after CABG.7,8 A recent prospective observational study clarified that severe LVDD is an independent predictor for respiratory complications and prolonged hospitalization after off-pump CABG (OPCAB).9 We hypothesized that aggravated LVDD will affect long-term prognosis after OPCAB. On the basis of this hypothesis, we wanted to identify the predictors of aggravated LVDD after OPCAB and to compare late outcomes according to whether LVDD had been aggravated postoperatively.

Methods

Study Population

Between January 2001 and December 2013, 2,583 patients underwent isolated OPCAB performed by 2 experienced surgeons (K.-J.Y. and Y.-N.Y.) at Severance Cardiovascular Hospital, Yonsei University College of Medicine. Among these patients, 1,254 who had postoperative echocardiography data available over the 6 months from the operation date were enrolled in this study. The latest echocardiography data from at least 6 months after the surgery were compared with preoperative echocardiography data.10 We excluded 153 patients who had preoperative atrial fibrillation (n=26), more than grade 2/4 mitral regurgitation (n=46), undetermined diastolic function including sinus tachycardia (n=22), on-pump conversion (n=7), minimal invasive direct CABG (n=9), redo CABG (n=11), perioperative myocardial infarction (n=20), or an emergency operation (n=12). The remaining 1,101 patients who underwent elective isolated OPCAB were enrolled in this study, which was approved by the Institutional Review Board of Yonsei University College of Medicine. Individual patient consent was waived because this study did not interfere with patient treatment, and the database was designed in such a way that individual patients could not be identified.

Measurement of Diastolic Dysfunction

Transthoracic echocardiography was performed pre- and postoperatively. Both 2D and Doppler echocardiography were performed with a commercially available echocardiographic unit equipped with an imaging transducer with both pulsed-wave and tissue Doppler capability. From the apical window, the pulsed Doppler sample volume was placed at the mitral valve tips, and 5–10 cardiac cycles were recorded. From the mitral inflow velocities, the following variables were measured: peak velocity and time velocity integral of early (E) and late (A) filling of mitral inflow, and deceleration time (DT) of the E-wave velocity. TDI was used to measure mitral annular velocity (E′) and late diastolic velocity of the mitral annulus (A′). For TDI, the filter setting was lowered, and the Nyquist limit was adjusted (range, 15–20 cm/s). Gain was minimized for a clear tissue signal with minimal background noise. From the apical 4-chamber view, a 2- to 3-mm sample volume was placed at the septal corner of the mitral annulus. Measurements were recorded with simultaneous ECG (sweep speed, 50–100 mm/s). The mitral inflow filling pattern was also observed during the Valsalva maneuver to evaluate the effects of preload.

Classification of LVDD and Changes in LVDD After Surgery

Classification of LV diastolic function was defined prospectively based on mitral inflow pattern (m-mode), TDI, and age-adjusted values for all echo-Doppler parameters. Using the ratio of E and A velocities (E/A), E′, and the ratio of E and E′ velocities (E/E′), patients were classified as having (1) normal diastolic function, (2) impaired relaxation (mild dysfunction), (3) pseudonormalization (moderate dysfunction), or 4) restrictive filling (severe dysfunction). The normal filling pattern was defined as E/A ≥1, E′ >8 cm/s, and E/E′ <10; an impaired relaxation pattern was defined as E/A <1. To distinguish pseudonormal from normal diastolic function, 2 measures, E/A during a Valsalva maneuver and E/E′, had to be abnormal; a pseudonormal filling pattern was defined as E/A of 0.75–1.5, E′ <8 cm/s or E/E′ >10; a restrictive filling pattern was defined as E/A >1.5, E′ <8 cm/s, or E/E′ >10.1116 We defined a change in LVDD as a difference between preoperative and postoperative LVDD based on this classification. According to the change in LVDD, the patients were divided into 2 groups: (1) group I with non-aggravated LVDD and (2) group II with aggravated LVDD.

Surgical Technique

The operation was performed through a full sternotomy incision, and the left internal mammary artery was harvested in a semi-skeletonized fashion. The second choice for the graft was the radial artery, which was harvested with a Harmonic scalpel (Ethicon Endosurgery, Cincinnati, OH, USA). The right internal mammary artery, saphenous vein, or right gastroepiploic artery was also harvested if necessary. Systemic heparin (0.7–1.0 mg/kg) was administered to achieve a target activated clotting time (≥300 s) before ligation of the distal internal mammary artery. Target arteries were stabilized with a tissue stabilizer and heart positioner. During anastomosis, blood was removed from the arteriotomy sites with a misted carbon dioxide blower and irrigation with warm saline. After surgery, patients were transferred to the intensive care unit and managed as usual.

Data Collection and Definition of Terms

Patients’ data were collected from the registry database, medical notes, and medical charts for later analysis. During follow-up, death and major adverse cardiac and cerebrovascular events (MACCE) were recorded. MACCE consisted of death or a cardiac event that was defined as a cardiac problem (heart failure, myocardial infarction, etc.) related readmission during the follow-up period and/or repeat revascularization by percutaneous intervention or bypass surgery, and cerebrovascular accident (CVA) that was confirmed by cerebral imaging study. Renal failure was defined as estimated glomerular filtration rate less than 30 ml/min/1.73 m2 preoperatively, which was chronic kidney disease stage 4/5.17 The latest preoperative echocardiography data and the most recent postoperative echocardiography data that was obtained ≥6 months after the operation and before the occurrence of MACCE were analyzed. Patient’s echocardiography routine follow-up was performed just before discharge and at 6 and 12 months. After that, we routinely checked annually. If there were any cardiac symptoms during follow-up, echocardiography was performed regardless of the routine period.

Study Endpoints

The primary endpoint was aggravation of LVDD. The secondary endpoint was late mortality and morbidity such as MACCE related to LVDD aggravation postoperatively.

Statistical Analysis

Continuous variables were compared by paired t-test and are presented as mean±standard deviation (SD). The χ2 test was used for analysis of categorical variables. Variables significant in the univariate analysis (P≤0.2) were included in the multivariate model. Stepwise multivariate analysis was used to evaluate the independent variables for death and MACCE. To report the effect size of variables as predictors, odds ratios (OR) are expressed with 95% confidence intervals (CI) and P values. The model was evaluated using the Hosmer-Lemeshow goodness-of-fit test and residual analysis. To avoid multicollinearity among variants, a variance inflation factor (If VIF >10, there is something wrong with the analysis) was calculated. To investigate differences between groups in the cumulative event ratio for death and MACCE, the occurrence of death and MACCE is presented using Kaplan-Meier cumulative survival curves and compared using the log-rank test. Data were analyzed using SPSS for Windows, version 20.0 (SPSS Inc, Chicago, IL, USA). All P values <0.05 indicated a significant difference, and all P values were 2-tailed.

Results

A total of 1,101 patients were enrolled. The mean follow-up was 7.10±3.39 years. According to the preoperative severity of LVDD, the patients were classified into 4 groups: normal (n=42, 3.8%), mild (n=903, 82.0%), moderate (n=133, 12.1%), or severe (n=23, 2.1%) LVDD. According to the postoperative severity of LVDD, patients in each group was reclassified into 4 groups as for the preoperative classification: normal (n=5, 0.5%), mild (n=856, 77.7%), moderate (n=188, 17.1%), or severe (n=52, 4.7%) LVDD. After this classification, non-aggravated LVDD was defined as improved LVDD or no change in LVDD postoperatively, and aggravated LVDD was defined as aggravated LVDD postoperatively. The changes in LVDD according to the 4 simple classifications are summarized in Figure 1A and the postoperative proportions of “normal” and “mild” populations between groups are shown in Figure 1B.

Figure 1.

(A) Changes in left ventricular diastolic dysfunction (LVDD) after off-pump coronary artery bypass grafting according to 4 simple classifications. (B) Postoperative proportions of “normal” and “mild” populations between groups.

As a result, all 1,101 patients were grouped according to the change in the severity of LVDD after OPCAB: group I with non-aggravated LVDD (n=894) and group II with aggravated LVDD (n=207). The baseline demographics and clinical characteristics in patients were similar except for age and preoperative renal failure (Table 1).

Table 1. Baseline Demographics and Clinical Characteristics of Patients With LV Diastolic Dysfunction
  Total Group I
(Non-aggravated,
n=894)
Group II
(Aggravated,
n=207)
P value
Age (years) 63.33±8.53 63.71±8.31 61.71±9.33 <0.01 
 >65 years 443 (49.5) 90 (43.5) 0.07
Female (n, %) 280 (25.4) 228 (25.5) 52 (25.1) 0.91
Obesity (n, %) (BMI >30 kg/m2) 38 (3.5) 29 (3.2) 9 (4.3) 0.43
HTN (n, %) 749 (68.0) 611 (68.3) 138 (66.7) 0.64
DM (n, %) 446 (40.5) 363 (40.6) 83 (40.1) 0.89
PAOD (n, %) 120 (10.9) 90 (10.1) 30 (14.5) 0.07
CVA (n, %) 116 (10.5) 96 (10.7) 20 (9.7) 0.65
COPD (n, %) 16 (1.5) 14 (1.6) 2 (1.0) 0.52
Renal failure (n, %) (eGFR <30 ml/min/1.73 m2) 100 (9.1) 66 (7.4) 34 (16.4) <0.01 
Smoking (n, %) 515 (46.8) 417 (46.6) 98 (47.3) 0.86
NYHA (3, 4: n, %) 283 (25.7) 221 (24.7) 62 (30.0) 0.12
Myocardial infarction (n, %) (<30 days) 200 (18.2) 155 (17.3) 45 (21.4) 0.16
Unstable angina (n, %) 287 (20.1) 227 (25.4) 60 (28.6) 0.34
Medications (n, %)
 β-blocker 670 (74.9) 154 (74.4) 0.87
 ACE inhibitor 256 (28.6) 61 (29.5) 0.81
 ARB 174 (19.5) 43 (20.8) 0.67
 Diuretics 153 (17.1) 39 (18.5) 0.56
 Statin 394 (44.1) 88 (42.5) 0.68

Data are presented as mean±SD or n (%). ACE, angiotensin-converting enzyme; ARB, angiotensin II receptor blocker; BMI, body mass index; DM, diabetes mellitus; eGFR, estimated glomerular filtration rate; HTN, hypertension. Other abbreviations as in Table 1.

The mean age of group I patients was higher than that of group II (63.71±8.31 vs. 61.71±9.33 years, P<0.01). The prevalence of renal failure was higher in group II (7.4% vs. 16.4%, P<0.01). The mean follow-up interval between echocardiography testing was 4.28±3.05 years. Preoperative and postoperative follow-up echocardiography data are shown in Table 2. Preoperative E velocity, E′ velocity, and postoperative LV end-diastolic diameter (LVEDD), LV end-systolic diameter (LVESD), left atrial (LA) diameter, E velocity, E/A, E′ velocity, and E/E′ were significantly higher in group II. Postoperative LVEF, A velocity, DT of the E wave, and A′ velocity were significantly higher in group I. Table 3 shows the mean number of anastomoses, use of 1 or 2 internal thoracic arteries, incomplete revascularization, operation time, and length of hospital stay with no significant differences between groups I and II. However, the total arterial grafting rate was significantly lower in group II (62.3% vs. 52.7%, P=0.01). MACCE incidence in the aggravated LVDD group (n=57, 27.5%) was significantly higher compared with the non-aggravated LVDD group (n=142, 15.9%) (Table 4).

Table 2. Pre- and Postoperative Follow-up Echocardiography Data of Patients With LV Diastolic Dysfunction
  Group I
(Non-aggravated,
n=894)
Group II
(Aggravated,
n=207)
P value
LVEF (%)
 Preoperative 56.61±13.99 57.00±13.72 0.72
 Postoperative 58.33±11.58 56.36±13.24 0.05
LVEDD (mm)
 Preoperative 51.17±6.03 51.34±5.39 0.71
 Postoperative 49.54±5.86 51.59±6.36 <0.01
LVESD (mm)
 Preoperative 35.74±7.63 35.66±6.67 0.89
 Postoperative 34.28±6.87 36.34±7.64 <0.01
LA diameter (mm)
 Preoperative 39.29±5.15 39.66±5.33 0.36
 Postoperative 40.26±5.31 43.51±6.55 <0.01
E velocity (m/s)
 Preoperative 0.72±0.45 0.87±0.34 <0.01
 Postoperative 0.62±0.49 0.95±0.23 <0.01
A velocity (m/s)
 Preoperative 0.93±0.25 0.89±0.33 0.12
 Postoperative 0.94±0.24 0.75±0.45 <0.01
E/A
 Preoperative 0.87±0.50 0.92±0.33 0.27
 Postoperative 0.78±0.26 1.42±0.66 <0.01
Deceleration time of E wave (ms)
 Preoperative 212.15±47.30 205.88±45.95 0.12
 Postoperative 225.77±46.80 185.35±44.78 <0.01
E′ velocity (cm/s)
 Preoperative 4.90±1.59 5.46±1.91 <0.01
 Postoperative 5.03±1.47 5.26±1.51 0.05
A′ velocity (cm/s)
 Preoperative 8.25±1.87 7.93±1.75 0.57
 Postoperative 8.54±1.83 7.56±2.14 <0.01
E/E′
 Preoperative 13.80±5.93 13.12±5.07 0.19
 Postoperative 12.32±5.20 18.23±9.31 <0.01

Data are presented as mean±SD. E, peak velocity of early diastolic filling of mitral inflow; E′, peak early diastolic velocity of the mitral annulus; E/A, ratio of E and A velocities; EF, ejection fraction. Other abbreviations as in Table 1.

Table 3. Operative and Postoperative Data of Patients With LV Diastolic Dysfunction
  Group I
(Non-aggravated,
n=894)
Group II
(Aggravated,
n=207)
P value
Anastomoses per patient (n) 3.2±0.8 3.1±0.8 0.31
Total arterial grafting (n, %) 557 (62.3) 109 (52.7) 0.01
Use of internal thoracic artery (n, %) 890 (99.6) 206 (99.5) 0.95
Aortocoronary bypass (n, %) 240 (26.8) 66 (31.9) 0.15
Incomplete revascularization (n, %) 76 (8.5) 24 (11.6) 0.16
Operation time, min 245.6±46.0 243.9±43.8 0.62
Hospital stay, days 12.6±10.1 13.1±7.8 0.54

Data presented as mean±SD, n (%). Abbreviation as in Table 1.

Table 4. Comparison of Clinical Outcomes (MACCE) Between Groups I and II of Patients With LV Diastolic Dysfunction
  Group I (Non-aggravated, n=894) Group II (Aggravated, n=207) P value
MACCE (n, %) 142 (15.9) 57 (27.5) <0.01
 Death 67 (7.5) 38 (18.4) <0.01
 Cardiac event 63 (7.0) 21 (10.1) 0.13
 Cerebrovascular accident 22 (2.5) 6 (2.9) 0.72

Cardiac event=cardiac-related readmission (heart failure, myocardial infarction, etc) and/or repeat revascularization. MACCE, major adverse cardiac and cerebrovascular events. Other abbreviations as in Table 1.

Univariate and multivariate logistic regression analyses were conducted to identify independent predictors of aggravated LVDD (Table 5). Peripheral artery obstructive disease (PAOD) (OR 1.60, 95% CI: 1.02–2.52, P=0.04), and preoperative renal failure (OR 2.47, 95% CI: 1.55–3.94, P<0.01) anticipated aggravated LVDD. Among the preoperative echocardiography data, preoperative A′ velocity (OR 0.85, 95% CI: 0.76–0.95, P<0.01) inversely correlated with aggravated LVDD. The Cox proportional hazards model was used to analyze the independent predictors of MACCE and overall survival by entering all variables. Aggravated LVDD (hazard ratio [HR] 1.83, 95% CI: 1.35–2.49, P<0.01), postoperative LVDD (P<0.01), age (HR 1.04, 95% CI: 1.03–1.06, P<0.01), diabetes mellitus (HR 1.38, 95% CI: 1.04–1.83, P=0.03), PAOD (HR 1.64, 95% CI: 1.17–2.72, P=0.01), renal failure (HR 1.78, 95% CI: 1.17–2.72, P=0.01), and New York Heart Association (NYHA) classification ≥3 (HR 1.37, 95% CI: 1.03–1.84, P=0.03) were significantly associated with MACCE. Aggravated LVDD (HR 2.26, 95% CI: 1.51–3.38, P<0.01), postoperative LVDD (P<0.01), age (HR 1.09, 95% CI: 1.06–1.12, P<0.01), diabetes mellitus (HR 1.60, 95% CI: 1.07–2.40, P=0.02), PAOD (HR 2.58, 95% CI: 1.68–3.40, P<0.01), renal failure (HR 2.98, 95% CI: 1.80–4.94, P<0.01), and NYHA classification ≥3 (HR 1.59, 95% CI: 1.07–2.47, P=0.02) were significantly related to overall survival (Table 6).

Table 5. Uni- and Multivariate Logistic Regression Analyses for Aggravated LV Diastolic Dysfunction
  Univariate Multivariate
OR (95% CI) VIF P value OR (95% CI) P value
Risk factors
 Age 0.97 (0.96–0.99) 1.048 <0.01  0.97 (0.95–0.98) <0.01
  >65 years 0.98 (0.93–1.05)   0.63    
 PAOD 1.51 (0.97–2.36) 1.011 0.07 1.60 (1.02–2.52)  0.04
 Renal failure 2.47 (1.58–3.85) 1.070 <0.01  2.47 (1.55–3.94) <0.01
 NYHA class ≥3 1.30 (0.93–1.82) 1.077 0.12
 Myocardial infarction (<30 days) 1.22 (0.79–1.89) 1.061 0.37
 Total arterial grafting 0.29 (0.50–0.91) 1.663 <0.01  0.72 (0.52–0.99)  0.04
 Aortocoronary bypass 1.28 (1.92–1.77) 1.604 0.15
 Incomplete revascularization 1.07 (0.71–1.61) 1.011 0.76
Echocardiography parameters
 Preoperative LVEDD 1.01 (0.98–1.03) 6.301 0.71
 Preoperative LVESD 1.00 (0.98–1.02) 6.707 0.89
 Preoperative A velocity 0.60 (0.34–1.06) 1.248 0.08
 Preoperative A′ velocity 0.91 (0.83–1.00) 1.512 0.06 0.85 (0.76–0.95) <0.01
 Preoperative E/E′ 0.98 (0.95–1.01) 1.666 0.19

A, late diastolic filling due to atrial contraction; A′, late diastolic velocity of the mitral annulus; CI, confidence interval; E/E′, ratio of E and E′ velocities; EDD, end-diastolic dimension; ESD, end-systolic dimension; LV, left ventricular; NYHA, New York Heart Association; OR, odds ratio; PAOD, peripheral artery obstructive disease; VIF, variance inflation factor.

Table 6. Cox Proportional Hazards Analysis for MACCE and Overall Survival of Patients With LV Diastolic Dysfunction
  MACCE Overall survival
HR (95% CI) P value HR (95% CI) P value
Aggravated LVDD 1.75 (1.28–2.38) <0.01 2.30 (1.54–3.44) <0.01
Postoperative LVDD   <0.01   <0.01
 Mild (2) vs. Normal (1)   0.96   0.95
 Moderate (3) vs. Normal (1) 0.46 (0.30–0.72) <0.01 0.32 (0.19–0.54) <0.01
 Severe (4) vs. Normal (1) 0.58 (0.34–0.99) 0.05 0.41 (0.21–0.81) 0.01
Age 1.04 (1.02–1.06) <0.01 1.09 (1.06–1.12) <0.01
DM 1.36 (1.02–1.81) 0.04 1.61 (1.08–2.40) 0.02
PAOD 1.74 (1.23–2.45) <0.01 2.47 (1.61–3.79) <0.01
Renal failure 1.84 (1.19–2.82) 0.01 3.08 (1.86–5.09) <0.01
Family history of CAOD 1.76 (1.00–3.10) 0.05 2.20 (0.89–5.41) 0.09
NYHA (3, 4) 1.33 (0.99–1.79) 0.06 1.56 (1.04–2.32) 0.03
Incomplete revascularization 1.50 (1.01–2.25) 0.05 1.73 (1.04–2.91) 0.04

CAOD, coronary artery obstructive disease; HR, hazards ratio. Other abbreviations as in Tables 1,2,5.

Kaplan-Meier survival curves showed that aggravated LVDD was significantly associated with MACCE and overall survival. The respective 2-, 6-, and 10-year results of freedom from MACCE in group I vs. group II were 96.0% vs. 94.2%, 88.0% vs. 79.4%, and 77.4% vs. 63.8% (log-rank P=0.01) (Figure 2A). The respective 2-, 6-, and 10-year results of overall survival in group I vs. group II were 98.3% vs. 96.6%, 94.4% vs. 87.0%, and 87.7% vs. 75.9% (log-rank P<0.01) (Figure 2B). However, aggravated LVDD was not significantly related to cardiac events or CVA (Figures 2C,D).

Figure 2.

Comparison of major adverse cardiac and cerebrovascular events (MACCE) and overall survival rate using Kaplan-Meier method. (A) MACCE; (B) overall survival; (C) cardiac event; (D) cerebrovascular accident.

Discussion

In the present study, we sought to investigate preoperative predictors of aggravated LVDD and the clinical impact of aggravated LVDD after OPCAB. Liu and co-workers8 compared long-term survival after CABG according to the postoperative filling pattern. During more than 60 months of follow-up, the patients with moderate LVDD (pseudonormal) or severe LVDD (restrictive filling) had a poorer long-term survival compared with those with normal LV function or mild LVDD (impaired relaxation) after CABG. Also, they clarified the DT of the E wave as a predictive factor for cardiac events. In this respect, there are some questions about the benefit of CABG for patients with severe LVDD. Vaskelyte and associates18 investigated patients with severe LV systolic dysfunction (EF <35%) and severe LVDD (restrictive filling) who were undergoing CABG. They concluded that severe LVDD correlated with high frequency of early mortality, morbidity, and minimal improvement in LV systolic function, but they did not include patients with normal diastolic function. LVDD can be defined as the inability of the LV chamber to adequately fill at low atrial pressures unrelated to intrinsic valve disease or pericardial pathology; this dysfunction can result from impaired LV compliance (passive mechanism) or from an alteration in LV relaxation (active mechanism). In ischemic heart disease, impairment of LV diastolic function precedes systolic dysfunction. So LVDD might be an important predictive factor for upcoming systolic dysfunction. Youn and colleagues9 found that preoperative LVDD increased postoperative respiratory complications and hospital stay over 12 days. They suspected these phenomena were associated with circulating volume overload during intraoperative and postoperative periods in LVDD after OPCAB.

These studies focused on LVDD itself, but poor LVDD that already exists might be an uncorrectable factor regardless of coronary revascularization. So we previously analyzed clinical results according to pre- and postoperative LVDD (Figure S1). In that analysis, preoperative LVDD did not affect late results, but postoperative LVDD showed significant clinical correlation with late outcomes, based on which we assumed the results came from the effects of OPCAB. This was the main reason why we intend to focus on the change in LVDD after revascularization. Changes in diastolic function maybe strongly related to coronary flow patency after coronary bypass, so we hypothesized that the change might be a more sensitive predictive factor for late clinical outcomes after OPCAB. Therefore, in the present study we aimed to confirm the hypothesis that aggravated LVDD will affect long-term prognosis and to clarify the predictors of LVDD after OPCAB. Our major findings can be summarized as follows.

First, preoperative renal failure was frequent and the total arterial grafting rate was significantly lower in patients with aggravated LVDD. LVDD was related to several conditions that increase postoperative risk, such as old age, diabetes, low EF, and renal failure. In particular, the association of LVDD with death from heart disease was likely caused by the interim development of heart failure. A potential explanation for this association is that the greater LV size results in a lower EF, more inducible ischemia, and lower creatinine clearance.4 Minakata et al also found that advanced preoperative renal failure is a strong predictor of postoperative outcomes after CABG.19 Our study clarified a direct correlation between lower renal function and aggravated LVDD.

The mean age at operation of group I was higher than that of group II (63.71±8.31 vs. 61.71±9.33 years, P<0.01), but there was no significant difference in the number of patients aged over 65 years (49.6% vs. 43.5%, P=0.12). In our results, age was negatively related to aggravated LVDD (OR 0.97); in fact, the OR was nearly 1.0, which means equivalent influence to LVDD. We re-analyzed the old age (≥65 years) effect as a variant for LVDD, but it was not significant as a risk factor (Table 5). Positively related effect of age on MACCE and overall survival rate was natural course considering all-cause mortality definition. In our series, age was also an independent predictor of MACCE and overall survival by Cox proportional hazards analysis. But some reports take the opposite view on the age effect; Ohira et al suggest that age at operation had no effect on long-term cardiac outcomes in patients undergoing OPCAB.20 In addition, the total arterial grafting rate was significantly lower in the present patients with aggravated LVDD. In this study, almost all of the operations (99.5%) were performed using the internal thoracic artery as a graft, and the majority of total arterial grafting operations were arterial composite grafting (Y anastomosis using the radial artery, internal thoracic artery, or gastroepiploic artery as a free graft) with sequential bypass. Some studies suggest superior outcomes with respect to long-term death after CABG in patients undergoing total arterial grafting compared with patients undergoing surgery using a mixed use of internal thoracic artery and vein graft.21 Arterial composite grafting with sequential coronary artery bypass is a feasible and effective method for multivessel myocardial revascularization.22 However, other studies suggest that mid- and long-term results of total arterial grafting patients are quite similar in mixed arterial and venous graft patients.23,24 This is still an important and heavily debated issue. From our results, we surmised that total arterial grafting had positive effects on LV diastolic function, which might be related to long-term outcomes after OPCAB. Unfortunately, LVDD was aggravated even after revascularization in group II. After revascularization, if there is no improvement in LVDD and regional wall motion, it might be highly associated with pre-existing myocardial irreversible damage. The most promising technique for predicting myocardial function is MIBI scan or dobutamine stress echocardiography, but using these modalities for routine screening of every preoperative patient is not practical in the real world. So at the least patients with preoperative LVDD should be checked, as mentioned. Another important cause of fruitless results may be complete revascularization or not. In this study the average number of anastomosis was 3.2 and we performed complete revascularization in over 90%, so we do not consider this technical factor as important in our series. Also, there is another limitation of the evaluation technique for LVDD, because although traditionally transmitral Doppler echocardiography is used to assess LVDD, it can sometimes be missed by this method compared with the more recent TDI.

Second, in our multivariate logistic regression analysis, preoperative extracardiac arteriopathy, renal failure, and A′ velocity in the echocardiographic data independently predicted aggravated LVDD. Preoperative PAOD and renal failure were related to a high risk for severe atherosclerotic disease and high rates of comorbidities.25 These factors might have contributed to aggravated LVDD. Interestingly, the mitral valve A′ velocity in the preoperative echocardiography data was the only parameter to predict aggravation of LVDD. The A′ velocity, which is a measure of intrinsic atrial longitudinal contraction by TDI, is a preload independent marker of atrial contractile function and is inversely correlated to atrial volume.26 Furthermore, more advanced LVDD (greater decrease in LV compliance) was characterized by increased pressure for a given volume. The increased filling pressure influences the LV inflow pattern, which will change first to pseudonormal and later to restrictive.27 The comparison of preoperative and postoperative echocardiography data in our study showed that decreased postoperative LV function and compliance (lower LVEF and greater LVEDD, LVESD, and LA diameter) were significantly worse in patients with aggravated LVDD.

Third, in the Cox proportional hazards analysis, aggravated LVDD was related to higher rates of long-term MACCE and poor overall survival, and the Kaplan-Meier survival curves showed that aggravated LVDD was associated with a high risk of MACCE and poor overall survival rates (Figure S2). Pinamonti et al28 evaluated the mortality rate in dilated cardiomyopathy patients and found the highest rate in patients with persistent restrictive filling (severe LVDD). However, the mortality rate in patients with reversible restrictive filling was similar to patients with nonrestrictive filling. In this respect, we assume that an improvement in LVDD, or at least not aggravated LVDD, is related to better outcomes after OPCAB.

Study Limitations

First, the follow-up intervals between echocardiography testing were irregular. After OPCAB, the severity of LVDD might change during the follow-up periods. Usually, ventricular diastolic filling is impaired early after CABG, but improves approximately 6 months later.10 To minimize this confounding factor, all of the postoperative echocardiography data in our study was from at least 6 months after the operation and before the occurrence of MACCE. Second, the patients with severe LVDD who still had severe LVDD postoperatively were classified in the non-aggravated group (group I). As mentioned earlier, these patients might have the poorest outcomes among all patients and might be a confounding factor in our results. However, there were only 3 of these patients and thus may have had little effect on statistical significance. The third is that unfortunately we could not check myocardial viability in all cases using MIBI scan or SPECT, so we just checked wall motion abnormality using echocardiography. From this limited evaluation, we could not correct for pre-existing uncorrectable myocardial dysfunction. The last, our coronary patency evaluation protocol is angio-CT just before discharge and follow-up CT evaluation is usually done at postoperatively 1 year. After that, if patients suffer from chest pain, additional CT angiography is scheduled for detecting bypass graft patency. However, we could not collect complete follow-up data from our study population. So, the correlation between graft patency and LVDD could be a type of limitation of this study and further study is warranted.

Conclusions

Our findings suggest that PAOD, preoperative renal failure, and preoperative A′ velocity might be independent predictors for aggravated LVDD after OPCAB. Furthermore, aggravated LVDD after OPCAB is poor prognostic factor for MACCE and overall survival.

Supplementary Files

Supplementary File 1

Figure S1. Comparison of clinical results according to 4 simple classifications of preoperative left ventricular diastolic dysfunction (LVDD).

Figure S2. Comparisons among 3 groups (Improved, No change, Aggravated) using Kaplan Meir method.

Please find supplementary file(s);

http://dx.doi.org/10.1253/circj.CJ-16-0165

References
 
© 2016 THE JAPANESE CIRCULATION SOCIETY
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