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. 2022 Nov 10;17(11):e0277454. doi: 10.1371/journal.pone.0277454

Perioperative changes in left ventricular systolic function following surgical revascularization

Michael C Downey 1,2,*, Matthew Hooks 1,2, Amy Gravely 3, Niyada Naksuk 4, Melissa Buelt-Gebhardt 3, Selma Carlson 1,2, Venkat Tholakanahalli 1,2, Selçuk Adabag 1,2
Editor: Yoshihiro Fukumoto5
PMCID: PMC9648779  PMID: 36355812

Abstract

Background

Nearly 1/3rd of patients undergoing coronary artery bypass graft surgery (CABG) have left ventricular systolic dysfunction. However, the extent, direction and implications of perioperative changes in left ventricular ejection fraction (LVEF) have not been well characterized in these patients.

Methods

We studied the changes in LVEF among 549 patients with left ventricular systolic dysfunction (LVEF <50%) who underwent CABG as part of the Surgical Treatment for Ischemic Heart Failure (STICH) trial. Patients had pre- and post-CABG (4 month) LVEF assessments using identical cardiac imaging modality, interpreted at a core laboratory. An absolute change of >10% in LVEF was considered clinically significant.

Results

Of the 549 patients (mean age 61.4±9.55 years, and 72 [13.1%] women), 145 (26.4%) had a >10% improvement in LVEF, 369 (67.2%) had no change and 35 (6.4%) had >10% worsening of LVEF following CABG. Patients with lower preoperative LVEF were more likely to experience an improvement after CABG (odds ratio 1.36; 95% CI 1.21–1.53; per 5% lower preoperative LVEF; p <0.001). Notably, incidence of postoperative improvement in LVEF was not influenced by presence, nor absence, of myocardial viability (25.5% vs. 28.3% respectively, p = 0.67). After adjusting for age, sex, baseline LVEF, and NYHA Class, a >10% improvement in LVEF after CABG was associated with a 57% lower risk of all-cause mortality (HR: 0.43, 95% CI: 0.26–0.71).

Conclusions

Among patients with ischemic cardiomyopathy undergoing CABG, 26.4% had >10% improvement in LVEF. An improvement in LVEF was more likely in patients with lower preoperative LVEF and was associated with improved long-term survival.

Introduction

Coronary artery bypass graft (CABG) surgery improves the long-term survival of patients with left main and/or multi-vessel coronary artery disease with reduced left ventricular (LV) systolic function [1]. Nearly 1/3rd of patients undergoing CABG have LV systolic dysfunction with ejection fraction <50% [2]. Although there is reason to expect that reduction of myocardial ischemia and recovery of hibernating myocardium through coronary revascularization would result in improvement of LV systolic function, there is relatively little data to support this assertion [3]. Prior single-center, retrospective studies in this area were limited by patient selection bias and imaging studies that were not performed systematically at pre-determined time points after CABG [46]. Since left ventricular ejection fraction (LVEF) is an important clinical variable guiding therapeutic decisions, and offering prognostic information, it is important to characterize the extent, direction and implications of LVEF changes following CABG [79]. In this study, we assessed perioperative changes in LVEF among patients randomized to CABG in the Surgical Treatment for Ischemic Heart Failure (STICH) trial [1012].

Materials and methods

Patient population

The STICH trial had 2 hypotheses and included 2,136 patients with LV systolic dysfunction, and coronary artery disease amendable to CABG [13]. The 1st hypothesis included 1,212 patients randomized to CABG plus guideline-directed medical therapy versus medical therapy alone. At 10-year follow-up, patients assigned to CABG had significantly lower rates of all-cause mortality, cardiovascular mortality, and hospitalizations compared to those assigned to medical therapy [12]. The 2nd hypothesis included 1,000 patients randomized to either CABG with surgical ventricular restoration (SVR) or CABG alone. The results showed that addition of SVR to CABG made no difference in outcomes [10].

From the 1,000 patients enrolled in the trial to test the 2nd hypothesis (CABG with SVR vs. CABG alone) 770 (77%) had an LVEF assessment at baseline and 4 months postoperatively, interpreted at a STICH core laboratory [1012]. All patients had evidence of systolic dysfunction (LVEF <50%) before CABG [14]. We excluded patients who had suboptimal image quality (n = 181). Additionally, any patients where there was a mismatch between the pre- and postoperative imaging modality were excluded (n = 40). The final cohort for this post-hoc analysis included 549 patients who underwent CABG (+/- SVR), had pre- and postoperative LVEF assessment via identical imaging modalities with good-excellent image quality, evaluated at a STICH core laboratory.

Imaging assessment of LVEF

In the STICH trial, LVEF was determined by echocardiography (echo), cardiac magnetic nuclear resonance imaging (CMR), or radionucleotide imaging (RN), as previously described [14]. Interpretation of the acquired images was performed at central core laboratories. The readers were blinded to the patients’ clinical information and treatment assignment. The preoperative LVEF assessment was required within 3 months of trial entry.

Definition of LVEF change

Change in LVEF (ΔLVEF) was defined as: Postoperative LVEF−Preoperative LVEF. LVEF assessment via echo has been reported to have a test-retest reliability of ±5%, predisposing analyses conducted at lower thresholds to type I errors [15]. As such, in this analysis we defined clinically significant ΔLVEF as >10%.

Myocardial viability

Although myocardial viability testing was initially a requirement for all patients, the STICH trial protocol was subsequently revised to make it optional as it proved to be an impediment to patient enrollment. Viability testing was done using either single-photon emission computed tomography or dobutamine stress echo, depending on the availability of the technique and expertise at recruiting centers. The interpretation and analysis of the viability studies were done at core laboratories as previously described [3].

Statistical analysis

Categorical variables are reported as frequency (%) and continuous variables as mean +/- standard deviation. The patients were classified as “Improved LVEF,” “Decreased LVEF,” and “Unchanged LVEF” based on ΔLVEF >10% (>5% in sensitivity analysis). Relationships between variables of interest and categories of ΔLVEF were tested with chi-square tests for categorical variables and ANOVA for continuous variables. We utilized logistic regression analysis to examine the predictors of EF improvement. All variables that had a p-value ≤0.10 in univariable analysis were entered into a multivariable logistic regression model (S1 Table). Utilizing backwards elimination, and a more restrictive p-value of ≤0.05, we reached the final multivariable model [16]. Kaplan-Meier survival analysis was performed to illustrate all-cause mortality in relation to perioperative LVEF improvement >10%. The survival curves were compared using log-rank test. Multivariable Cox regression analysis was used to assess the hazard ratio (HR) of all-cause mortality associated with perioperative LVEF improvement. Survival analysis was adjusted for all covariates which were significantly different between patients with vs. without improved LVEF. Analyses were performed using SAS® 9.4. All analyses were 2-sided and a p-value < 0.05 was taken as significant.

Ethics approval

All data used in this study has been de-identified according to the Health Insurance Portability and Accountability Act of 1996 (HIPAA) 164.514 Privacy Rule. The study was performed in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments. As this study is analyzing de-identified, publicly-available data, it is exempt from Institutional Review Board approval; but the Research and Development Committee of the Minneapolis Veterans Affairs Medical Center approved this analysis.

Consent to participate and publish

Informed consent and consent to publish were obtained from all individual participants as a required component of enrollment in the STICH trial [13].

Results

The baseline characteristics of the 549 study patients who underwent CABG (+/- SVR) are shown in Table 1. Mean patient age (±SD) was 61.4 (±9.6) years, and 72 (13.1%) were women. A total of 258 (47.0%) patients underwent concurrent CABG with SVR. LVEF assessment was made by echo in 273 (49.7%), CMR in 191 (34.8%), and RN in 85 (15.5%) of the patients (Table 1).

Table 1. Baseline and intraoperative characteristics of study patients by change in LVEF.

Variable All Patients Improved LVEF Unchanged LVEF Decreased LVEF P-Value
N = 549 N = 145 N = 369 N = 35
Age, years 61.43 ± 9.55 62.2 ± 9.6 61.23 ± 9.54 60.38 ± 9.51 0.47
Women, n (%) 72 (13.1) 21 (14.5) 48 (13.0) 3 (8.6) 0.65
Caucasian, n (%) 506 (92.2) 134 (92.4) 339 (91.9) 33 (94.3) 0.87
Imaging Modality Echo, n (%) 273 (49.7) 58 (40.0) 196 (53.1) 19 (54.3) 0.005
CMR, n (%) 191 (34.8) 60 (41.4) 115 (31.2) 16 (45.7)
RN, n (%) 85 (15.5) 27 (18.6) 58 (15.7) 0 (0.0)
Preoperative EF 28.59 ± 9.11 25.08 ± 9.05 29.22 ± 8.67 36.52 ± 7.51 <0.001
History of MI, n (%) 472 (86.0) 123 (84.8) 318 (86.2) 31 (88.6) 0.83
History of diabetes, n (%) 171 (31.2) 44 (30.3) 117 (31.7) 10 (28.6) 0.90
History of hypertension, n (%) 294 (53.6) 72 (49.7) 209 (56.6) 13 (37.1) 0.05
Body mass index 27.15 ± 4.2 27.2 ± 4.49 27.17 ± 4.13 26.81 ± 3.72 0.88
NYHA class III/IV, n (%) 235 (42.8) 72 (49.7) 151 (40.9) 12 (34.3) 0.11
Creatinine 1.12 ± 0.37 1.13 ± 0.41 1.11 ± 0.32 1.21 ± 0.6 0.34
Beta-blocker, n (%) 485 (88.3) 127 (87.6) 328 (88.9) 30 (85.7) 0.81
ACE-I or ARB, n (%) 487 (88.7) 125 (86.2) 333 (90.2) 29 (82.9) 0.23
Aspirin, n (%) 435 (79.2) 113 (77.9) 296 (80.2) 26 (74.3) 0.64
Clopidogrel, n (%) 40 (7.3) 13 (9.0) 25 (6.8) 2 (5.7) 0.65
Digoxin, n (%) 88 (16.0) 17 (11.7) 66 (17.9) 5 (14.3) 0.22
Diuretic loop, n (%) 319 (58.1) 87 (60.0) 208 (56.4) 24 (68.6) 0.33
K sparing diuretic, n (%) 211 (38.4) 56 (38.6) 144 (39.0) 11 (31.4) 0.68
Nitrate, n (%) 316 (57.6) 82 (56.6) 213 (57.7) 21 (60.0) 0.93
Pulse 71.96 ± 12.24 73.3 ± 14.09 71.3 ± 11.41 73.26 ± 12.33 0.20
Systolic BP 120.23 ± 17.08 118.95 ± 17.31 120.94 ± 16.89 118.03 ± 18.07 0.36
No. of distal anastomoses 3.12 ± 1.06 3.12 ± 0.96 3.13 ± 1.08 3.06 ± 1.24 0.93
No. of diseased vessels 2.17 ± 0.78 2.19 ± 0.83 2.17 ± 0.75 2.17 ± 0.82 0.96
Total bypass time, min 116.44 ± 45.98 120.17 ± 45.06 115.9 ± 46.87 106.36 ± 39.44 0.28
Aortic cross-clamp time, min 75.84 ± 32.14 77.45 ± 30.99 75.74 ± 32.69 70.18 ± 31.53 0.51
CABG + SVR, n (%) 258 (47.0) 84 (57.9) 164 (44.4) 10 (28.6) 0.002

Abbreviations: ACE-I = angiotensin converting enzyme inhibitor, ARB = angiotensin receptor blocker, BP = blood pressure, CABG = coronary artery bypass graft, CMR = cardiac magnetic resonance, Echo = transthoracic echocardiogram, K = potassium, LVEF = left ventricular ejection fraction, MI = myocardial infarction, No. = number, NYHA = New York Heart Association, RN = Radionuclide, SVR = surgical ventricular restoration

Perioperative changes in LVEF

Following CABG, 145 (26.4%) patients had improvement in LVEF >10%, 369 (67.2%) had no change, and 35 (6.4%) had decrease in LVEF >10% (Fig 1). For the patients who experienced LVEF improvement, the mean LVEF increased from 25.1% (±9.1%) to 42.8% (±10.9%). Among those with worsening of LVEF, the mean LVEF decreased from 36.5% (±7.5%) to 20.5% (±6.5%).

Fig 1. Distribution of pre- and postoperative LVEF stratified by a ΔLVEF >10%.

Fig 1

Box borders represent 1st and 3rd quartiles with bisecting line representing the median. Whiskers demarcate minimum and maximum values. *denotes p<0.001. Abbreviations: LVEF = left ventricular ejection fraction.

Notably, there was an inverse association between preoperative LVEF and the likelihood of LVEF improvement >10% (Fig 2). Of the patients with preoperative LVEF ≤20%, 42.2% (n = 43) had >10% LVEF improvement. As preoperative LVEF increased, there was a stepwise decline in the incidence of LVEF improvement (Fig 2). The converse occurred with LVEF worsening >10%. As the preoperative LVEF increased, there was a stepwise increase in the incidence of LVEF worsening (Fig 2). A flow diagram of pre- and postoperative LVEF are shown in Fig 3.

Fig 2. Perioperative change in LVEF by baseline LVEF.

Fig 2

Abbreviations: LVEF = left ventricular ejection fraction.

Fig 3. Sankey flow diagram of change in LVEF pre- to post-CABG.

Fig 3

Pre-CABG LVEF by binned percentage ranges on the left axis, and Post-CABG LVEF comparably on the right axis. Flow follows left to right. Paratheses on axis represent total number of patients within each bin. Color of flow represents subgroup’s perioperative change in LVEF. Abbreviations: CABG = coronary artery bypass graft, LVEF = left ventricular ejection fraction.

In multivariate logistic regression analysis, preoperative LVEF and SVR were independent predictors of LVEF improvement >10% following CABG. The odds of LVEF improvement were 1.36 times higher (95% CI 1.21–1.53; p <0.001) per 5% decrease in preoperative LVEF (Table 2).

Table 2. Multivariate logistic regression for independent predictors of >10% increase in LVEF.

Variable OR 95% CI P-value
Preoperative LVEF 1.36* (1.21–1.53) <0.001
SVR 1.76 (1.18–2.61) 0.005

*Represents the odds of >10% perioperative increase in LVEF improvement per each decrease of 5% percentage points change in preoperative LVEF. Abbreviations: CABG = coronary artery bypass graft, LVEF = left ventricular ejection fraction, SVR = surgical ventricular restoration

Effect of myocardial viability on LVEF improvement

A total of 217 (39.5%) patients had preoperative myocardial viability test. Of these, 157 (72.4%) showed myocardial viability and 60 (27.7%) did not. Improvement in LVEF occurred in 40 (25.5%) of patients with myocardial viability versus 17 (28.3%) patients without myocardial viability (p = 0.67).

Perioperative change in LVEF and survival

Over a mean 3.7 (±1.2) years of follow-up, 21/145 (14.5%) vs. 93/404 (23.0%) of patients with or without a ΔLVEF >10% died, respectively. This translated to a significantly lower risk of all-cause mortality in patients with a perioperative LVEF improvement >10% compared to those with unchanged or decreased LVEF (p = 0.027) (Fig 4). After adjusting for age, sex, baseline LVEF, and NYHA Class, perioperative LVEF improvement >10% was associated with a 57% lower risk of all-cause mortality (HR: 0.43, 95% CI: 0.26–0.71) compared to those with unchanged or decreased LVEF.

Fig 4. Long-term survival in relation to perioperative LVEF improvement.

Fig 4

In a competing risk analysis, perioperative LVEF improvement >10% was not associated with the risk of heart failure death (HR: 0.78, 95% CI 0.35–1.71; p = 0.53) or sudden cardiac death (SCD) (HR: 0.62, 95% CI 0.26–1.50; p = 0.29), though the statistical power of these analyses was low (36 and 33 total deaths, respectively).

Sensitivity analysis

A sensitivity analysis was performed wherein ΔLVEF was redefined as >5%. In this analysis, 240 (43.7%) patients experienced improvement in LVEF, 220 (40.1%) had no change and 89 (16.2%), had worsening of LVEF. The results were otherwise similar to the main analysis.

Discussion

In this post-hoc analysis of the STICH trial 326% of the patients with ischemic cardiomyopathy randomized to CABG had a perioperative increase in LVEF >10%, 67% had no change and 6% had a decline in LVEF >10%. The independent predictors of LVEF improvement were preoperative LVEF (inverse association) and concurrent SVR. However, myocardial viability was not a factor. Notably, perioperative LVEF improvement >10% conferred a significant mortality benefit relative to those in whom LVEF remained unchanged or worsened.

As postoperative LVEF assessment is not routinely performed after CABG, prior investigations in this area have largely been limited to single center, retrospective studies with modest sample size [17]. Koene et al. [4], evaluated 375 patients wherein half of the patients had a preoperative LVEF <50%. Utilizing a ΔLVEF >5% cut off, 24% of patients had improvement in LVEF (vs. > 40% of the patients in the current analysis). Patients with a preoperative LVEF <50% were more likely to have LVEF improvement; while those with preoperative LVEF >50% were more likely to experience a decline in LVEF [4]. Papestiev et al., prospectively evaluated 47 patients (27 with preoperative LVEF >50%) and found that ΔLVEF >5% occurred in 53.2% of patients. LVEF improvement of >5% was significantly more likely if LVEF <50%, and preoperative LVEF was inversely associated with perioperative LVEF improvement [6]. Similarly, in two cohort studies limited to preoperative LVEF <35%, CABG was associated with increases in LVEF [18, 19]. Finally, within a cohort with LVEF <50% (mean LVEF = 32%), Cornel et al. observed a ΔLVEF >5% in 19% of patients at 3 months, which increased to 31% at twelve months [20]. Cumulatively, these prior works have shown LVEF improvement in patients who had preoperative LV systolic dysfunction but a higher risk of LVEF decline in individuals with a preoperatively normal LVEF [46, 1820].

In this analysis, we found that a perioperative LVEF improvement >10% afforded a 57% reduction in all-cause mortality after CABG. These results are similar to a 39% reduction in mortality following ΔLVEF ≥10% over a two year interval found in a contemporary analysis by Perry et al. [21]. Interestingly, within the hypothesis 1 cohort, while both CABG and ΔLVEF >10% reduced long term mortality, these effects were independent of the other [21]; suggesting that the mortality benefit afforded by CABG was not directly associated with improvement in LVEF and vice versa. Important differences between the work by Perry et al. and the current study include the timing of postoperative LVEF assessment (4 months vs. 24 months) as well as systematic pathophysiological differences between patients included in hypothesis 1 analysis (Perry et al.) vs. hypothesis 2 (current analysis) analysis of the STICH trial. All patients within the hypothesis 2 arm of STICH had evidence of dominant anterior wall akinesia or dyskinesia [a requirement to be eligible for SVR], versus only 12% of patients in the hypothesis 1 arm [22].

While SVR was identified as an independent predictor of ΔLVEF >10% and reduced mortality risk, the principle analysis of the hypothesis 2 data from the STICH trial did not find a mortality benefit with SVR beyond that provided by CABG alone [10]. This absence of direct effect of SVR on mortality suggests that while SVR may increase the odds of ΔLVEF >10%, it is only by achieving a ΔLVEF >10% the mortality benefit is realized; SVR itself is neither necessary nor sufficient to improve mortality in the absence of LVEF improvement.

In this study, we did not observe a protective effect of LVEF improvement on the incidence of SCD, but the analysis lacked statistical power. Previous studies have shown that improvement in LVEF is associated with reduced risk of SCD [2325]. Our results build on a previous analysis of SCD from the STICH trial by Rao et al. [26]. Analyzing all 1,411 patients who underwent CABG across the STICH trial, Rao et al. observed 113 occurrences of SCD over 5 years for an 8.5% 5-year cumulative incidence of SCD [26]. Notably, SCD risk was greatest in the postoperative window from 30–90 days. Additionally, while lower preoperative LVEF predicted increased risk of perioperative SCD, increased preoperative end-systolic volume index and B-type natriuretic peptide were the most robust independent predictors of SCD risk [26]. Given the highest risk of SCD was within the first 3 months of CABG, post-CABG LVEF assessments at 4 months, as in current analysis, would fail to capture the LVEF change within most individuals experiencing SCD [27, 28]. Future studies with more proximal postoperative LVEF assessments may better assess how ΔLVEF affects SCD risk.

Limitations

This post-hoc analysis of a large randomized clinical trial data has several limitations. First, Caucasian men comprised >80% of the study patients. Caution is recommended when extending these results to women and minorities. Second, postoperative imaging captured an incomplete subset (77%) of the patients enrolled in the STICH trial [11]. Part of this deficit is attributable to mortality within 4 months of CABG, prior to assessment of postoperative LVEF [14, 26]. However, since 4 months was set in the study protocol prior to randomization, a systematic bias in patient selection for imaging studies is unlikely. Third, even though a majority of LVEF assessment was by echo, two other imaging modalities were also used, creating the possibility of inter-modality differences in LVEF. It has been previously demonstrated that while substantive variation can occur between modalities, no one modality consistently over or underestimates LVEF [29]. To protect against inter-modality differences this analysis only included data from patients with identical pre- and postoperative imaging modalities. Fourth, longitudinal interval data of LVEF was not available. However, a recent analysis of data from the Sudden Cardiac Death in Heart Failure Trial (SCD-HeFT) demonstrated that LVEF may oscillate over time in a portion of patients with cardiomyopathy. Those with initial increase in LVEF may then experience a subsequent decrease in LVEF, and vice versa [30]. Future studies investigating if a postoperative ΔLVEF >10% is sustained would be interesting. Finally, guideline-directed medical therapy has evolved since the era of the STICH trial. With the discovery of angiotensin receptor-neprilysin inhibitors [31] and sodium-glucose cotransporter 2 inhibitors [32] further increases in the proportion of patients experiencing LVEF and improved mortality are expected.

Conclusions

In conclusion, approximately 25% of the patients with ischemic cardiomyopathy undergoing CABG experienced a >10% perioperative improvement in LVEF. The likelihood of LVEF improvement was inversely proportional to the preoperative LVEF. Improvement in LVEF was not influenced by the presence nor absence of myocardial viability. Improvement in LVEF was associated with better long-term survival. These results further build on the understanding of CABG associated perioperative change in LVEF by identifying the inverse relationship between improvement in LVEF and preoperative LVEF, which can further inform patient-physician decision marking around CABG.

Supporting information

S1 Table. Odds ratios of battery of potential predictors for LVEF improvement.

(DOCX)

S2 Table. Pre- and post-CABG LVEF by imaging modality.

(DOCX)

Data Availability

The data underlying the results presented in the study are available from the STICH trial investigators and the United States Government by request referencing: "The Comparison of Surgical and Medical Treatment for Congestive Heart Failure and Coronary Artery Disease (STICH)" found at ClinicalTrials.gov and with identifier: NCT00023595.

Funding Statement

SA received an education grant from Medtronic (https://www.medtronic.com/us-en/index.html) The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Yoshihiro Fukumoto

22 Aug 2022

PONE-D-22-19400Perioperative changes in left ventricular systolic function following surgical revascularizationPLOS ONE

Dear Dr. Downey,

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Reviewer #2: Partly

Reviewer #3: Yes

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Reviewer #2: No

Reviewer #3: Yes

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Reviewer #1: The authors examined changes in LVEF in 549 patients with left ventricular systolic dysfunction (LVEF <50%) who underwent CABG as part of the Surgical Treatment of Ischemic Heart Failure (STICH) trial.

In conclusion, approximately 25% of patients with ischemic cardiomyopathy undergoing CABG experienced a perioperative improvement in LVEF of 10% or more; the likelihood of LVEF improvement was inversely proportional to preoperative LVEF; LVEF improvement was unaffected by the presence of myocardial viability; LVEF improvement was associated with improved long-term survival and improvement was associated with improved long-term survival. These results further our understanding of perioperative LVEF changes related to CABG by demonstrating an inverse relationship between LVEF improvement and preoperative LVEF.

The presentation is difficult to read because of the inclusion of Tables and Figure legends in the Results, which is different from the usual presentation. Other than the above, the logic is consistent and the discussion is adequate.

Reviewer #2: PONE-D-22-19400: statistical review

SUMMARY. This is a retrospective study of the changes in left ventricular ejection fraction (LVEF) among patients with systolic dysfunction who underwent coronary artery bypass graft surgery (CABG). The core statistical analysis relies on logistic regression (to examine predictors of ejection fraction improvements) and survival analysis (to estimate the association between perioperative LVEF improvement and all-cause mortality). Methods are correct and results seem sound. However, the presentation of the material is a bit too synthetic and further details are required: see the issues below.

MAJOR ISSUES

1. Table 2 display the results of a multivariable logistic regression model, obtained by a backward selection of the predictors. However, there is no information about (1) the initial battery of the predictors and (2) the final battery of the selected predictors. This information must be added. Specifically, Table 2 shouldn't only include the ORs of Preoperative LVEF and SVR but also the ORs of the remaining selected predictors included in the final model.

2. The analysis of perioperative change in LVEF and survival has been adjusted with respect to age and gender. What about all the other predictors displayed in Table 1? I'd welcome a Cox regression model where the predictors were selected by backward elimination, similarly to the approach pursued in the logistic regression analysis. A table with the results of the final Cox model should be then added and discussed. An additional specific point: Fig. 4 displays cumulative incidence curves. Why didn't the authors provide traditional survival curves?

3. The competing risks analysis doesn't seem to be adjusted for the available predictors. Why? I'd welcome an analysis that adjusts for the available predictors, consistently to what has been done in the rest of the paper.

Reviewer #3: This very interesting study evaluates the impact of myocardial revascularization on left ventricular function. Even though, a few questions must be answered before acceptance.

1) This study is a post-hoc analysis of the STICH trial (2º hypothesis). Although it is implied in the manuscript that this research is a post-hoc analysis of a portion of the STICH trial, this is not clearly stated in the method section of the manuscript.

2) Inclusion criteria are not clearly stated in the manuscript.

3) Another question that must be answered is why the patients participating in the first hypothesis of were not included.

4) The study used different methods to evaluate LVEF before and after the procedure. The variations observed in LVEF were comparable among the different methods?

5) There is no mention in the manuscript how the authors defined the sample size or reason for not having it defined.

6) SVR did not promote improvement in the original stich trial. How come that it was an independent predictor for > 10 % increase in LVEF? Selection Bias?

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Reviewer #3: No

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PLoS One. 2022 Nov 10;17(11):e0277454. doi: 10.1371/journal.pone.0277454.r002

Author response to Decision Letter 0


23 Sep 2022

We thank the reviewers for their time and insights to improve our work. Below is an itemized response to their comments, including the modifications made to the manuscript in turn.

Reviewer #1:

The authors examined changes in LVEF in 549 patients with left ventricular systolic dysfunction (LVEF <50%) who underwent CABG as part of the Surgical Treatment of Ischemic Heart Failure (STICH) trial.

In conclusion, approximately 25% of patients with ischemic cardiomyopathy undergoing CABG experienced a perioperative improvement in LVEF of 10% or more; the likelihood of LVEF improvement was inversely proportional to preoperative LVEF; LVEF improvement was unaffected by the presence of myocardial viability; LVEF improvement was associated with improved long-term survival and improvement was associated with improved long-term survival. These results further our understanding of perioperative LVEF changes related to CABG by demonstrating an inverse relationship between LVEF improvement and preoperative LVEF.

The presentation is difficult to read because of the inclusion of Tables and Figure legends in the Results, which is different from the usual presentation. Other than the above, the logic is consistent and the discussion is adequate.

Response: We thank the reviewer and agree that inclusion of tables and figure legends is different than usual. We included the tables and figure legends directly in the text per the PLOSone guidelines. (https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf)

Reviewer #2:

SUMMARY. This is a retrospective study of the changes in left ventricular ejection fraction (LVEF) among patients with systolic dysfunction who underwent coronary artery bypass graft surgery (CABG). The core statistical analysis relies on logistic regression (to examine predictors of ejection fraction improvements) and survival analysis (to estimate the association between perioperative LVEF improvement and all-cause mortality). Methods are correct and results seem sound. However, the presentation of the material is a bit too synthetic and further details are required: see the issues below.

MAJOR ISSUES

1. Table 2 display the results of a multivariable logistic regression model, obtained by a backward selection of the predictors. However, there is no information about (1) the initial battery of the predictors and (2) the final battery of the selected predictors. This information must be added. Specifically, Table 2 shouldn't only include the ORs of Preoperative LVEF and SVR but also the ORs of the remaining selected predictors included in the final model.

Response: All variables in Table 1 (and 20 additional variables) were assessed with univariable logistic regression analysis. These variables were: Age, Gender, Race, Imaging Modality (Echo, CMR, RN), Preoperative EF, History of MI, History of diabetes, History of hypertension, Body mass index, NYHA class III/IV, Creatinine, Beta-blocker, ACE-I or ARB, Aspirin, Clopidogrel, Digoxin, Diuretic loopK sparing diuretic, Nitrate, Pulse, Systolic BP, Number of distal anastomoses, Number of diseased vessels, Total bypass time, Aortic cross-clamp time, CABG + SVR, Current Smoker, Peripheral Vascular Disease, Antiarrhythmic, Baseline BUN, Angina Symptoms, Unstable Angina Symptoms, Ischemic Symptoms, Angina During Exercise, Distance Walked, Myocardial Viability, Postoperative EF, Hyperlipidemia, NHYA class I/II, 6 Minute Walk Test, Duke CAD Index, Statin, Warfarin, ICD Implantation, Death after Randomization, Time to Death

Then, those with a p value <0.1 were entered into the multivariable model. These initial battery of variables were: Preoperative EF, SVR, Digoxin, Warfarin, Hypertension, NYHA III/IV, RN (vs. Echo), and CMR (vs. Echo)(Supplemental Table 1. below).

Then, backward elimination method was used to eliminate variables with p>0.05 and obtain the most parsimonious model. The final battery of the selected variables were Preoperative LVEF and SVR, which are shown in Table 2 in the manuscript. We have described this methodology in the statistical section of the manuscript (page 6, lines 135-138). The table showing the initial battery of variables was included in the manuscript as a supplemental table because in this pre-backward elimination model the odds ratios would be different than the odds ratios in the final model.

Text changes (highlighted): “We utilized logistic regression analysis to examine the predictors of EF improvement. All variables that had a p-value ≤0.10 in univariable analysis were entered into a multivariable logistic regression model (Supplemental Table 1). Utilizing backwards elimination, and a more restrictive p-value of ≤0.05, we reached the final multivariable model (16).”

Supplemental Table 1. Odds Ratios of Battery of Potential Predictors for LVEF Improvement

Variable Odds Ratio 95% CI p-value

Preoperative EF 1.3136 1.17-1.48 <0.001

SVR 1.6365 1.09-2.45 0.017

Digoxin 0.5885 0.32-1.08 0.09

Warfarin 1.559 0.86-2.82 0.14

Hypertension 0.8477 0.57-1.27 0.42

NYHA III/IV 1.4322 0.95-2.15 0.08

RN (vs. Echo) 1.5017 0.85-2.65 0.16

CMR (vs. Echo) 1.4224 0.91-2.20 0.13

Abbreviations: CMR=cardiac magnetic resonance, Echo=transthoracic echocardiogram, EF=ejection fraction, NYHA=New York Heart Association, RN=Radionuclide, SVR=surgical ventricular restoration

2. The analysis of perioperative change in LVEF and survival has been adjusted with respect to age and gender. What about all the other predictors displayed in Table 1? I'd welcome a Cox regression model where the predictors were selected by backward elimination, similarly to the approach pursued in the logistic regression analysis. A table with the results of the final Cox model should be then added and discussed. An additional specific point: Fig. 4 displays cumulative incidence curves. Why didn't the authors provide traditional survival curves?

Response: We have updated this analysis by adjusting for additional covariates that were significantly different between the patients with improved vs. unimproved LVEF. These additional variables were baseline LVEF and NYHA Class. As a result, the HR for EF improvement changed from 0.58 to 0.43 (95% CI: 0.26-0.71). We have revised the manuscript accordingly (page 6, lines 142-143; page 10, lines 214-219; page 12 255-256).

However, backward elimination to identify a multivariable model associated with mortality is beyond the scope of our study. As we stated in the introduction section, the objective of this study was to “characterize the extent, direction and implications of LVEF change following CABG”. We would like to stay focused on that objective. However, if the reviewer and the editors feel strongly about an additional analysis on the predictors of mortality after CABG, we will have to comply.

With regards to Figure 4, we prefer Cumulative survival curves, which is a mirror image of 1-KM curves shown below. This is a format that we and others have used in many publications. However, if the reviewer and the editors feel strongly that we display the survival curves in the 1-KM format, we will comply.

Text changes (highlighted): Page 6: “Survival analysis was adjusted for all covariates which were significantly different between patients with vs. without improved LVEF.”

Page 10: “Over a mean 3.7 (±1.2) years of follow-up, 21/145 (14.5%) vs. 93/404 (23.0%) of patients with or without a �LVEF >10% died, respectively. This translated to a significantly lower risk of all-cause mortality in patients with a perioperative LVEF improvement >10% compared to those with unchanged or decreased LVEF (p=0.027) (Fig 4). After adjusting for age, sex, baseline LVEF, and NYHA Class, perioperative LVEF improvement >10% was associated with a 57% lower risk of all-cause mortality (HR: 0.43, 95% CI: 0.26-0.71) compared to those with unchanged or decreased LVEF.”

Page 12: “In this analysis, we found that a perioperative LVEF improvement >10% afforded a 57% reduction in all-cause mortality after CABG.”

3. The competing risks analysis doesn't seem to be adjusted for the available predictors. Why? I'd welcome an analysis that adjusts for the available predictors, consistently to what has been done in the rest of the paper.

Response: There were 36 deaths due to heart failure and 33 deaths due to SCD, limiting the number of covariates allowable in these models. The limited power of these analyses, evident by the wide 95% confidence intervals, is the reason we could not adjust for additional covariates. We acknowledged the reduced power of these analyses within the manuscript (page 10, lines 225-226; page 12, lines 273-274). Furthermore, since the univariable analysis did not find a significant association, it would be highly unlikely for the multivariable analysis to show one. Despite the low power, we are in the opinion that this analysis adds more depth to the results. However, if the reviewer and the editors want it to be removed, we will comply.

Text changes (highlighted): “In a competing risk analysis, perioperative LVEF improvement >10% was not associated with the risk of heart failure death (HR: 0.78, 95% CI 0.35 – 1.71; p = 0.53) or sudden cardiac death (SCD) (HR: 0.62, 95% CI 0.26–1.50; p = 0.29), though the statistical power of these analyses was low (36 and 33 total deaths, respectively).”

Reviewer #3:

1) This study is a post-hoc analysis of the STICH trial (2º hypothesis). Although it is implied in the manuscript that this research is a post-hoc analysis of a portion of the STICH trial, this is not clearly stated in the method section of the manuscript.

Response: We have updated the methods section to state the post-hoc nature of the study as suggested (page 5, line 105).

Text (highlighted changes): “The final cohort for this post-hoc analysis included 549 patients who underwent CABG (+/- SVR), had pre- and postoperative LVEF assessment via identical imaging modalities with good-excellent image quality, evaluated at a STICH core laboratory.”

2) Inclusion criteria are not clearly stated in the manuscript.

Response: We thank the reviewer for this suggestion. We have added the inclusion criteria of the STICH trial in the methods section and provided a reference to the original paper for readers.1 (page 4, lines 93-94)

Text (highlighted changes): “The STICH trial had 2 hypotheses and included 2,136 patients with LV systolic dysfunction, and coronary artery disease amendable to CABG (13).

3) Another question that must be answered is why the patients participating in the first hypothesis of were not included.

Response: Only the patients in hypothesis 2 had successful systematic collection of pre- and post-operative assessment of LVEF at 4 months after CABG. Furthermore, due to the nature of the STICH trial design, patients enrolled in the hypothesis 1 arm were systematically different in baseline ischemic burden than those enrolled in the hypothesis 2 arm. Specifically, to be eligible for enrollment in hypothesis 1 arm, patients could not have either: left main coronary artery stenosis of ≥50% nor a high burden of symptomatic angina (Canadian Cardiovascular Society score III or IV).2 Either, or both, characteristics present on trial enrollment automatically placed the patient in hypothesis arm 2. Given these differences we performed the analysis among patients who participated in Hypothesis 2 of the STICH trial.

4) The study used different methods to evaluate LVEF before and after the procedure. The variations observed in LVEF were comparable among the different methods?

Response: We would like to emphasize that although the study used three different imaging modalities, the present analysis only included patients who were evaluated by the same imaging modality pre- and post-operatively. For example, patients evaluated by echocardiogram preoperatively were only included in the present analysis if the postoperative imaging modality was also echocardiogram. Otherwise, they were excluded to prevent variation in EF stemming from different imaging modalities.

However, in this comment, the reviewer appears to be asking for the differences between pre- and post-operative EF within each imaging modality. These results are shown in the Table below. We have now included this table as supplemental material.

Supplemental table 2. Pre- and post-CABG LVEF by imaging modality

Preoperative LVEF^ Postoperative LVEF^ Difference in LVEF^ P value

Echo (n = 191) 29.7 (8.1) 33.1 (10.1) 3.4 (10.3) <0.0001*

CMR (n = 273) 27.4 (10.7) 32.6 (13.4) 5.2 (12.1) <0.0001*

RN (n = 85) 27.9 (7.7) 33.8 (9.9) 6.0 (8.1) <0.0001*

Abbreviations: CABG=coronary artery bypass graft, CMR=cardiac magnetic resonance, Echo=transthoracic echocardiogram, LVEF=left ventricular ejection fraction, RN=Radionuclide

^Mean (SD)

*Paired t-test

5) There is no mention in the manuscript how the authors defined the sample size or reason for not having it defined.

Response: As this study was a post-hoc analysis of the STICH trial data, the sample size was determined by the number of patients in the trial that met the inclusion criteria of this post-hoc analysis. Variations in the sample size was not an option due to the retrospective nature of the analysis.

6) SVR did not promote improvement in the original stich trial. How come that it was an independent predictor for > 10 % increase in LVEF? Selection Bias?

Response: To clarify, in the original STICH trial SVR was not associated with mortality (not LVEF). Analysis of pre- and post-operative LVEF was not performed in the original reports from the trial. That is why we felt compelled to perform this analysis.

References (used in responses only, not inclusive of manuscript excerpts)

1. Velazquez EJ, Lee KL, Deja MA, et al. Coronary-Artery Bypass Surgery in Patients with Left Ventricular Dysfunction. N Engl J Med. 2011;364(17):1607-1616. doi:10.1056/NEJMoa1100356

2. Jones RH, Velazquez EJ, Michler RE, et al. Coronary bypass surgery with or without surgical ventricular reconstruction. N Engl J Med. 2009;360(17):1705-1717. doi:10.1056/NEJMoa0900559

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Yoshihiro Fukumoto

28 Oct 2022

Perioperative changes in left ventricular systolic function following surgical revascularization

PONE-D-22-19400R1

Dear Dr. Downey,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Yoshihiro Fukumoto

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

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2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: (No Response)

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3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: (No Response)

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4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: (No Response)

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5. Is the manuscript presented in an intelligible fashion and written in standard English?

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Reviewer #1: Yes

Reviewer #2: (No Response)

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6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The authors examined changes in LVEF in 549 patients with left ventricular systolic dysfunction (LVEF <50%) who underwent CABG as part of the Surgical Treatment of Ischemic Heart Failure (STICH) trial.

In conclusion, approximately 25% of patients with ischemic cardiomyopathy undergoing CABG experienced perioperative LVEF improvement of 10% or more, the likelihood of LVEF improvement was inversely proportional to preoperative LVEF, LVEF improvement was not affected by the presence of myocardial viability, and LVEF improvement was associated with improved long-term survival. These results add to our understanding of perioperative LVEF changes related to CABG by demonstrating an inverse correlation between LVEF improvement and preoperative LVEF.

The manuscript was improved as a result of peer review. No further comments.

Reviewer #2: (No Response)

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Reviewer #1: No

Reviewer #2: No

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. Odds ratios of battery of potential predictors for LVEF improvement.

    (DOCX)

    S2 Table. Pre- and post-CABG LVEF by imaging modality.

    (DOCX)

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    The data underlying the results presented in the study are available from the STICH trial investigators and the United States Government by request referencing: "The Comparison of Surgical and Medical Treatment for Congestive Heart Failure and Coronary Artery Disease (STICH)" found at ClinicalTrials.gov and with identifier: NCT00023595.


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