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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Am Heart J. Author manuscript; available in PMC 2017 April 1.
Published in final edited form as:
PMCID: PMC4804356
NIHMSID: NIHMS763316

Prognostic value of Cardiopulmonary Exercise Testing in Heart Failure with preserved Ejection Fraction. The Henry Ford HospITal CardioPulmonary EXercise Testing (FIT-CPX) Project

Abstract

Background

Although cardiopulmonary exercise (CPX) testing in patients with heart failure and reduced ejection fraction (HFrEF) is well established, there is limited data on the value of CPX variables in patients with HF and preserved EF (HFpEF). We sought to determine the prognostic value of select CPX measures in patients with HFpEF.

Methods

This was a retrospective analysis of patients with HFpEF (EF ≥ 50%) who performed a CPX test between 1997 and 2010. Selected CPX variables included; peak oxygen uptake (VO2), percent predicted maximum oxygen uptake (ppMVO2), minute ventilation to carbon dioxide production (VE/VCO2) slope and exercise oscillatory ventilation (EOV). Separate Cox regression analyses were performed to assess the relationship between each CPX variable and a composite outcome of all-cause mortality or cardiac transplant (CTx).

Results

We identified 173 HFpEF patients (45% women; 58% non-white; age = 54±14 y) with complete CPX data. During a median follow-up of 5.2 y there were 42 deaths and 5 CTx. The 1, 3, and 5 y cumulative event-free survival was 96%, 90%, and 82% respectively. Based on the Wald statistic from the Cox regression analyses adjusted for age, sex, and beta-blockade therapy, ppMVO2 was the strongest predictor of the endpoint (Wald χ2 = 15.0, HR per 10% = p < 0.001), followed by peak VO2 (Wald χ2 = 11.8, p = 0.001). VE/VCO2 slope (Wald χ2 = 0.4, p = 0.54) and EOV (Wald χ2 = 0.15, p = 0.70) had no significant association to the composite outcome.

Conclusion

These data support the prognostic utility of peak VO2 and ppMVO2 in patients with HFpEF. Additional studies are needed to define optimal cut points to identify low and high risk patients.

Keywords: Prognosis, cardiopulmonary exercise test, Heart failure with preserved EF

Recent epidemiological data suggests that approximately half of patients with heart failure (HF) have a preserved ejection fraction (EF), with mortality and hospitalization rates that are similar to patients who have HF with reduced EF (HFrEF) (1). Despite the increased prevalence of HF with preserved EF (HFpEF), there has been little success in improving prognosis of these patients as compared to those with systolic dysfunction (2). This is partly because there is a paucity of evidence addressing how to best diagnose, risk stratify, and treat these patients (3).

Cardiopulmonary exercise (CPX) testing is a well established tool to help risk stratify and determine prognosis in patients with HFrEF (4). Many of the variables measured during such testing are strong and independent predictors of survival, including peak oxygen uptake (VO2), percent predicted maximum oxygen uptake (ppMVO2), minute ventilation to carbon dioxide production (VE/VCO2 slope), and exercise oscillatory ventilation (EOV) (58). Although the ability of these variables to predict prognosis has been well established in patients with HFrEF, data is only beginning to emerge regarding the prognostic utility of CPX testing in patients with HFpEF (911). Whether the above CPX-derived variables or other similar variables also predict mortality in HFpEF warrants further exploration (12).

Using a demographically diverse cohort of patients, this retrospective study describes the association between select CPX-derived variables and survival free from all-cause mortality or cardiac transplant (CTx) in patients with HFpEF.

METHODS

Study Cohort

Our study was designed as a retrospective observational study which included patients ≥ 18 y with a diagnosis of HFpEF who had undergone a clinically-referred CPX test at Henry Ford Hospital between January 1997 and December 2010. The Institutional Review Board of Henry Ford Health System approved the study and no extramural funding was used to support this work. Selection of the patients was made by a query of the Henry Ford Preventive Cardiology Outcomes (PRECO) database. PRECO contains prospectively collected CPX test data. A manual review of the electronic medical record was performed to confirm relevant data including, a physician diagnosis of ischemic or non ischemic cardiomyopathy and EF. Myocardial perfusion imaging, echocardiography or cardiac catheterization reports were reviewed to determine EF. To be included in this analysis an EF had to be measured ≤ 6 months prior or ≤ 2 months following the CPX test date. HFpEF was defined as an EF ≥ 50%. Patients were excluded if they underwent valve repair/replacement. The cohort was not limited by other criteria.

Cardiopulmonary Exercise Testing

The patients in our study cohort had undergone CPX testing mainly for assessment of their exercise tolerance. All CPX tests were completed per American College of Cardiology and the American Heart Association guidelines (13). During these CPX tests, patients were encouraged to exercise to their symptom-limited maximum capacity. Attainment of a maximum predicted heart rate or a pre-selected respiratory exchange ratio was not a reason to stop the tests.

Treadmill was the preferred exercise modality, using a protocol that increased work rate by 1 to 2 metabolic equivalents of task [METs] per 2 or 3 min stage. When clinically indicated, a leg ergometer was used in <2% of all patients. During exercise the electrocardiograph (ECG) was continuously monitored from the start until at least minute 6 of recovery. After 2 minutes of standing rest, heart rate and blood pressure were measured. Blood pressure was also recorded every 2 to 3 minutes during the exercise and regularly during recovery.

Gas Exchange Data Management

A MGC Diagnostics metabolic cart (Ultima, CPX/D, or CPX Express; St. Paul, Minnesota, USA) was utilized for respiratory gases analysis. Prior to each CPX test the gas and flow analyzers were calibrated according to the manufacturer recommendations. MGC Diagnostics’ Breeze Suite 7.1 software was used to calculate the VE/VCO2 slope using all exercise data.

EOV was identified based on published criteria (14) by clinical exercise physiologists experienced in the interpretation of CPX data. ppMVO2 was calculated using the Wasserman equation (15).

Endpoint Data

The US Centers for Disease Control and Prevention’s National Death Index was used to determine mortality through 2011. Identifiers included name, gender, date of birth, and social security number and were present for the entire cohort. The National Death Index is a reliable source to accurately differentiate deceased versus alive patients when social security numbers are used along with other personal identifiers (16). CTx were identified from the hospital’s clinic databases through 2011. A minimum of 1 y follow-up was available on the entire cohort.

Statistical Analysis

The primary outcome of our study was the combined endpoint of all-cause mortality or CTx. The index date was the date on which CPX test had been conducted. The follow-up time was calculated as days between the CPX test date and the endpoint date or December 31, 2011.

Life tables were used to calculate the cumulative event rate. The relationship between select CPX test variables (i.e., peak VO2, ppMVO2, VE/VCO2 slope, and EOV) and event-free survival were assessed separately using univariate and multivariate (adjusted for age, gender and beta-blockade therapy) Cox regression analyses. Kaplan-Meier survival curves were also constructed. Statistical significance was defined as an alpha < 0.05. IBM SPSS version 22 (IBM, Somers, New York, USA) was utilized for all statistical analyses.

RESULTS

One hundred, eighty-eight patients were identified with HFpEF (EF ≥ 50%). Among these 177 patients had completed data for peak VO2, ppMVO2, VE/VCO2 slope, and EOV. Four patients out of the 177 patients had undergone an aortic or mitral valve surgery due to severe valvular disease. These patients were excluded from our analysis due to the assumption that their preserved EF was a consequence of their surgery. Out of the remaining 173 patients in our final study group, mostly were middle age (54±14 y), male (65%), of African American (AA) race. Their most common cardiovascular risk factor was hypertension (53%). Details of the demographics and study characteristics can be found in Table 1.

Table 1
Demographic and clinical characteristics of the study cohort

During a median follow-up of 5.2 y (interquartile range [IQR] 3.4 – 7.9 y) there were 47 events (27%), which included 42 deaths and 5 CTx. Patients who experienced an event were more likely to be older and less likely to have an Implantable Cardioverter-Defibrillator (ICD) (Table 1). With regard to CPX testing, patients who experienced an event had a lower peak heart rate (118 vs. 128 beats·min−1) and lower peak VO2 (14.0 vs. 17.9 ml·kg−1·min−1). Table 2 shows details of data from the CPX tests.

Table 2
Cardiopulmonary exercise test data

The 1, 3, and 5 y cumulative event-free survival was 96 ± 1%, 90 ± 2%, and 82 ± 3%, respectively. Results from the Cox regression analyses are shown in Tables 3 and and4.4. Based on the Wald statistic, ppMVO2 was a stronger predictor than peak VO2. Neither VE/VCO2 slope nor EOV were significantly related to the outcome in univariate or multivariate analyses (Tables 3 and and4).4). There was no significant interaction observed by sex for peak VO2 (P = 0.444), ppMVO2 (P = 0.682), VE/VCO2 slope (P = 0.971), or EOV (P = 0.746).

Table 3
Univariate Cox regression analyses to predict the composite endpoint of mortality or cardiac transplant (n = 173)
Table 4
Multivariate Cox regression analyses to predict the composite endpoint of mortality or cardiac transplant (n = 173)

There was a significant variation in cumulative survival between tertiles of ppMVO2 (Figure 1-A) with patients with a ppMVO2 ≤ 58% experiencing 1, 3 and 5 y cumulative survival of 89 ± 4%, 83 ± 5%, and 67 ± 6%, respectively. There was also a significant variation in cumulative survival between tertiles of peak VO2 (Figure 1-B) with patients with a peak VO2 ≤ 13.9 mL·kg·−1min−1 experiencing 1, 3 and 5 y cumulative survival of 91 ± 4%, 84 ± 5%, and 69 ± 6%, respectively

Figure 1
Kaplan-Meier survival curves by tertiles of ppMVO2 (%) and peak VO2 (mL·kg−1·min−1)

DISCUSSION

We showed that key CPX variables that have been associated with prognosis in HFrEF (peak VO2 and ppMVO2) were also significantly associated with a composite outcome of all-cause mortality or CTx in a diverse cohort of patients with HFpEF. Among these CPX variables, ppMVO2 was found to be the best prognostic indicator, being associated with a 30% lower risk per 10% of ppMVO2 achieved. This is comparable to risk association in patients with HFrEF (17). We are not aware of another study that has evaluated the prognostic utility of ppMVO2 in patients with HFpEF.

Our study represents an analysis of commonly used CPX variables in a study group of 173 patients with HFpEF. From the previous literature, there are only three prior studies that have studied the relationship of CPX variables with prognosis in HFpEF patients (4,18,19). In their 2005 study of 409 HF patients, Guazzi et al (4) reported that VE/VCO2 slope and peak VO2 in patients with HFpEF were both significantly related to all-cause mortality and hospitalization; however, VE/VCO2 slope was stronger. In a 2008 study of 151 HFpEF patients, Guazzi et al (19) reported that EOV was the strongest predictor for cardiac events in a multivariable analysis of exercise data only (no demographic variables), followed by VE/VCO2 slope and peak VO2. In a 2013 paper evaluating peak VO2 and VE/VCO2 slope in a study cohort of 224 HFpEF patients, Yan et al (18) concluded that VE/VCO2 slope (but not peak VO2) was associated with all-cause mortality when adjusted for brain natriuretic peptide. In our study ppMVO2 and peak VO2, were both significantly related to survival; however, VE/VCO2 slope and EOV were not related to survival. Our work confirms findings from other studies showing that select CPX variables such as peak VO2 have a strong prognostic role in patients with HFpEF. Furthermore we studied the role of ppMVO2 which has been shown to be an important prognostic indicator in HFrEF and found it to be the best prognostic indicator in our HFpEF patient group. Our findings differ slightly from previous studies relative to which CPX variable is ‘better’ as EOV and VE/VCO2 slope which were shown to be strongly linked to the outcomes (4,18,19), were not found to be significant in our study. This may be due to differences in the study follow up periods, different end points and type of patient selection; our study included a composite end point of CTx or mortality, had a longer follow-up period than previous studies and also included a more racially diverse patient cohort. Additional investigation is warranted in this area.

The CPX variable ppMVO2 has been evaluated in dozens of studies as a possible predictor of survival in patients with HFrEF. In spite of having independent association with survival in several of these studies, ppMVO2 has not received much attention (12,20). Whereas peak VO2 accurately reflects the functional capacity of an individual, ppMVO2 may be more appropriate because it describes a patient’s functional capacity within the context of both age and gender, two factors that are known to influence measured values (17). ACC/AHA guidelines include a ppMVO2 of 55 % as an indication to refer for cardiac transplantation (21).

Several studies have shown an increase in the prevalence of HFpEF (1), partly because of improved diagnosis and recognition of the disorder. Our study shows that select CPX-derived variables like peak VO2 and ppMVO2 that have been shown to be good prognostic tools in patients with HFrEF, can also provide reasonable prognostic insight in patients with HFpEF. Based on our data, 5-y survival rates for ppMVO2 ≤58% and peak VO2 ≤13.9 is 67% and 69%, respectively. This may help stratify risk patients with HFpEF in a manner that is synonymous to patients with HFrEF. By being able to identify those patients with a higher risk profile, referral to specialists and vigilant follow up and education can be started sooner, which may improve long term survival. Furthermore, our findings may provide information that can help formulate and initiate further research that advances the clinical evaluation and care of patients with HFpEF.

The strengths of our work included the manual review of the medical records to identify patients with HFpEF and the gender and racial diversity of our cohort. Median time to follow up was longer than previously reported in other studies and more CPX variables were included in our analyses. However, like all retrospective cohort studies ours was not without limitations. First, it is possible that there were residual confounders related to CPX variables and outcomes. Additionally, this was a single center experience and thus the external validity could be questioned, but our cohort and the larger population that they represent appears similar to other cohorts presenting with HFpEF (4).

We conducted a retrospective cohort study that included patients with HFpEF who had undergone CPX testing at our institution with more than 3 y of follow-up. We showed that CPX parameters are predictive of outcome among patients with HFpEF (similar to patients with HFrEF) and that the strongest single predictor of the primary end point derived from CPX testing was ppMVO2. Additional research is needed to further define the association between similar and other CPX test measures and prognosis in patients with HFpEF.

Acknowledgments

The authors are solely responsible for the design and conduct of this study; all study analyses, the drafting and editing of the paper and its final contents. We are grateful for the contributions of Dr. Raakesh Hassan, Dr. Stephanie Vasko, and Mathew Saval in collection of the data.

FUNDING SOURCES

Dr. Ali Shafiq received support from a National Heart, Lung, and Blood Institute (NHLBI) training grant (T32HL110837).

Footnotes

DISCLOSURES

None

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