Figure 1. Cardiovascular events by quartile of 6-minute walk test distance.
Figure 2. Six-minute walk test distance by treadmill exercise capacity in metabolic equivalents (METs). r = 0.66; P < .001.
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Beatty AL, Schiller NB, Whooley MA. Six-Minute Walk Test as a Prognostic Tool in Stable Coronary Heart DiseaseData From the Heart and Soul Study. Arch Intern Med. 2012;172(14):1096–1102. doi:10.1001/archinternmed.2012.2198
Background The prognostic value of the 6-minute walk test (6MWT) in patients with stable coronary heart disease is unknown. We sought to determine whether the 6MWT predicted cardiovascular events in ambulatory patients with coronary heart disease.
Methods We measured 6MWT distance and treadmill exercise capacity in 556 outpatients with stable coronary heart disease from September 11, 2000, through December 20, 2002. Participants were followed up for a median of 8.0 years for cardiovascular events (heart failure, myocardial infarction, and death).
Results Cardiovascular events occurred in 218 of 556 participants (39.2%). Patients in the lowest quartile of 6MWT distance (87-419 m) had 4 times the rate of events as those in the highest quartile (544-837 m) (unadjusted hazard ratio, 4.29; 95% CI, 2.83-6.53; P < .001). Each SD decrease in 6MWT distance (104 m) was associated with a 55% higher rate of cardiovascular events (age-adjusted hazard ratio, 1.55; 95% CI, 1.35-1.78). After adjustment for traditional risk factors and cardiac disease severity measures (ejection fraction, inducible ischemia, diastolic dysfunction, amino-terminal portion of the prohormone of brain-type natriuretic peptide, and C-reactive protein), each SD decrease in 6MWT was associated with a 30% higher rate of cardiovascular events (hazard ratio, 1.30; 95% CI, 1.10-1.53). When added to traditional risk factors, the 6MWT resulted in category-free net reclassification improvement of 39% (95% CI, 19%-60%). The discriminative ability of the 6MWT was similar to that of treadmill exercise capacity for predicting cardiovascular events (C statistics both 0.72; P = .29).
Conclusions Distance walked on the 6MWT predicted cardiovascular events in patients with stable coronary heart disease. The addition of a simple 6MWT to traditional risk factors improved risk prediction and was comparable with treadmill exercise capacity.
For patients with stable coronary heart disease (CHD), prognostic models based on traditional cardiovascular disease risk factors do not fully explain the risk of future cardiovascular events.1- 3 Exercise treadmill testing provides information regarding prognosis in patients with stable CHD,4- 9 but testing can be costly and time-consuming, especially if testing is bundled with imaging studies that may be unnecessary in stable patients.10- 12
The 6-minute walk test (6MWT) is a simple, easy-to-perform, commonly used test of functional exercise capacity. Its ability to predict outcomes has been established in patients with heart failure,13- 17 pulmonary hypertension,18 and pulmonary disease.19 However, there is no evidence regarding the ability of the 6MWT to predict outcomes in patients with stable CHD.
In the present study, we evaluated the ability of the 6MWT to predict heart failure, myocardial infarction, and death in a sample of 556 patients with stable CHD enrolled in the Heart and Soul Study. We compared the predictive ability of the 6MWT with other methods of risk assessment, including traditional risk factors and treadmill exercise capacity (in metabolic equivalents [METs]).
The Heart and Soul Study is a prospective cohort study designed to investigate the effects of psychosocial factors on health outcomes in patients with stable CHD. The methods have been previously described.20 Patients were eligible if they had at least 1 of the following: history of myocardial infarction, angiographic evidence of at least 50% stenosis in at least 1 coronary vessel, evidence of exercise-induced ischemia by treadmill electrocardiogram or stress nuclear perfusion imaging, or a history of coronary revascularization. Patients were excluded if they were unable to walk 1 block, had an acute coronary syndrome within the previous 6 months, or were likely to move out of the area within 3 years. We mailed 15 438 potentially eligible participants an invitation to participate, and 2495 responded with interest. Of those responding, 505 could not be reached for scheduling, 596 declined, and 370 met exclusion criteria, leaving 1024 participants.
From September 11, 2000, through December 20, 2002, a total of 1024 participants were enrolled from 12 outpatient clinics in the San Francisco Bay Area, including 549 (53.6%) with a history of myocardial infarction, 237 (23.1%) with a history of revascularization but not myocardial infarction, and 238 (23.2%) with a diagnosis of CHD that was documented by their physician on the basis of outpatient International Classification of Diseases, Ninth Revision codes and review of medical records. All study participants completed a full-day study including medical history, extensive questionnaires, and an exercise treadmill test with baseline and stress echocardiograms. Twelve-hour fasting serum samples were obtained in the morning before the stress test.
A convenience sample of 769 participants was offered the 6MWT. We were not able to offer the 6MWT to all participants for logistical reasons (eg, not enough time during visit, obstruction of the 6MWT corridor, and study staff unavailable). Of the 769 participants who were offered the 6MWT, 186 were unable to complete the 6MWT (recently experienced unusual angina or chest pain or did not think they were capable of walking for 6 minutes owing to chest pain, shortness of breath, or musculoskeletal impediment), 6 refused, and 1 had incomplete data. Of the 576 participants who completed the 6MWT, a total of 18 were excluded because they did not complete the treadmill test and 2 were excluded because they were lost to follow-up, leaving 556 participants for this analysis.
The 6MWT was administered according to standard guidelines.21 A single walk test without practice was administered. Quiz Ref IDParticipants were instructed to walk continuously on a 145.5 foot (44 m) hospital corridor, covering as much ground as they could during 6 minutes. Encouragement was given every minute in a standardized fashion. Total distance walked in 6 minutes was recorded.
Annual telephone interviews were conducted with participants or their proxy to inquire about interval emergency department visit, hospitalization, or death. For any reported event, medical records, electrocardiograms, death certificates, autopsy, and coroner's reports were obtained. Each event was adjudicated by 2 independent and masked reviewers. In the event of disagreement, the adjudicators conferred, reconsidered their classification, and requested consultation from a third masked adjudicator, if needed.
The primary outcome was a composite of cardiovascular events of heart failure, myocardial infarction, or death from any cause. Secondary outcomes were the individual components of heart failure, myocardial infarction, and death from any cause. Myocardial infarction was defined using standard diagnostic criteria.22 Heart failure was defined as hospitalization or emergency department visit for signs and symptoms of heart failure. Death was verified by death certificates.
Demographic characteristics, medical history, and smoking status were assessed by self-report questionnaire. Depressive symptoms were assessed using the 9-item Patient Health Questionnaire, a self-report instrument that measures the frequency of depressive symptoms, with a score of 10 or higher being classified as having depressive symptoms.23 We measured weight and height and calculated the body mass index (BMI; calculated as weight in kilograms divided by height in meters squared). Resting blood pressure and heart rate were measured. Participants were asked to bring their medication bottles to the study appointment, and research personnel recorded all current medications. Medications were categorized using the drug database Epocrates Rx (Epocrates).
Total cholesterol, high-density lipoprotein cholesterol, hemoglobin, creatinine, and high-sensitivity C-reactive protein were determined from 12-hour fasting serum samples. Levels of the amino-terminal portion of the prohormone of brain-type natriuretic peptide (NT-proBNP) were determined using an electrochemiluminescence immunoassay (Elecsys proBNP, Roche Diagnostics). The estimated glomerular filtration rate was calculated using the Chronic Kidney Disease Epidemiology Collaboration equation.24
Participants underwent symptom-limited exercise stress testing according to a standard Bruce protocol (those unable to complete the standard protocol were converted to a manual protocol) with continuous 12-lead electrocardiogram monitoring, and exercise capacity was estimated as the total METs achieved at peak exercise.25 Before exercise, participants underwent complete resting 2-dimensional echocardiograms with all standard views using an Acuson Sequoia ultrasound system (Siemens Medical Solutions) with a 3.5-MHz transducer and Doppler ultrasound examination. Standard 2-dimensional parasternal short-axis and apical 2- and 4-chamber views were obtained during held inspiration and were used to calculate the left ventricular ejection fraction.26 Diastolic dysfunction was defined as pseudonormal or restrictive filling on mitral inflow.20 At peak exercise, precordial long- and short-axis and apical 2- and 4-chamber views were obtained to assess for wall motion abnormalities. We defined exercise-induced ischemia as the presence of 1 or more new wall motion abnormalities at peak exercise that were not present at rest. A single experienced cardiologist (N.B.S.), who was masked to the results of the 6MWT, treadmill exercise capacity, and clinical histories, interpreted all echocardiograms.
Because there are no defined categories for the 6MWT in patients with CHD, participants were divided into quartiles on the basis of 6MWT distance. Baseline participant characteristics across quartiles were compared using analysis of variance for continuous variables, the χ2 test for dichotomous variables, and the Fisher exact test for dichotomous variables with fewer than 5 participants in a category. We compared unadjusted rates of cardiovascular events by quartile using Cox proportional hazards models and the log-rank test. We compared adjusted rates of cardiovascular events, analyzing 6MWT distance as a continuous variable, per 1-SD decrease of 6MWT distance using Cox proportional hazards models adjusted for covariates associated with the 6MWT quartile at P < .10. For any covariates with more than 1% missing data, multiple imputation was performed using iterative chained equations including history of hypertension (3.4% missing), dyslipidemia (5.6%), diabetes mellitus (3.8%), peripheral vascular disease (15.3%), and chronic lung disease (4.9%), as well as ejection fraction (3.4%), diastolic dysfunction (10.6%), log NT-proBNP (4.5%), and log C-reactive protein (4.5%). We tested for interactions between 6MWT distance and age, sex, current smoking, diabetes, BMI, systolic blood pressure, estimated glomerular filtration rate, hemoglobin, and left ventricular ejection fraction. Using a logistic regression model for predicting cardiovascular events on the basis of traditional risk factors (age, sex, current smoking, history of hypertension, history of dyslipidemia, history of diabetes, BMI, systolic blood pressure, diastolic blood pressure, and total cholesterol to high-density lipoprotein cholesterol ratio), we estimated the area under the receiver operating characteristic curve (C statistic), integrated discrimination improvement, and category-free net reclassification improvement for predicting cardiovascular events for the individual addition of continuous measures of the 6MWT, treadmill exercise capacity, NT-proBNP, C-reactive protein, and ejection fraction.27- 29 We compared treadmill exercise capacity to 6MWT distance using the Pearson correlation coefficient. Analyses were performed using Stata, version 12 (StataCorp).
Among the 556 participants, median (interquartile range) 6MWT distance was 481 (420-543) m. Compared with participants in the highest quartile of 6MWT distance (544-837 m), participants in the lowest quartile of 6MWT distance (87-419 m) were older, less likely to be male, and more likely to be current smokers (Table 1). Participants in the lowest quartile were more likely to have clinical risk factors of hypertension, dyslipidemia, diabetes, peripheral vascular disease, and higher BMI. A higher proportion of participants in the lowest quartile were taking angiotensin-converting enzyme inhibitors or angiotensin receptor blockers and diuretics than participants in the highest quartile. Participants in the lowest quartile had more inducible ischemia on stress echocardiography, slightly lower left ventricular ejection fraction, and higher NT-proBNP. In addition, participants in the lowest quartile had lower estimated glomerular filtration rates and lower hemoglobin levels. Treadmill exercise capacity (METs) was worse in participants in the lowest quartile.
Comparing the 556 participants who completed the 6MWT with the 213 participants who were offered the 6MWT but excluded from this analysis, the 556 participants included in the analysis were similar in age and left ventricular ejection fraction but more likely to be male (86.2% vs 79.3%; P = .02). Cardiovascular event–free survival of the participants who were offered the 6MWT but not included in this analysis was similar to participants in the lowest quartile of 6MWT distance (P = .63 by log-rank test).
During a median (interquartile range) follow-up of 8.0 (4.2-9.0) years, there were 82 hospitalizations for heart failure, 63 myocardial infarctions, and 184 deaths from any cause, with 218 participants experiencing the primary outcome of heart failure, myocardial infarction, or death (cardiovascular events). The median (interquartile range) age at death was 79.0 (70.8-85.5) years. Participants in the lowest quartile of 6MWT distance experienced more events than those in the other quartiles of 6MWT distance (Figure 1). Participants in the lowest quartile of 6MWT distance experienced cardiovascular events at 4 times the rate of participants in the highest quartile (unadjusted hazard ratio [HR], 4.29; 95% CI, 2.83-6.53; P < .001).
We evaluated continuous 6MWT distance and found that each SD decrease in 6MWT distance (104 m) was associated with an 86% higher rate of heart failure (age-adjusted HR, 1.86; 95% CI, 1.51-2.31), a 47% higher rate of myocardial infarction (1.47; 1.15-1.89), a 54% higher rate of death (1.54; 1.32-1.80), and a 55% higher rate of any cardiovascular event (1.55; 1.35-1.78) (Table 2). After adjusting for baseline characteristics and markers of cardiac disease severity, 6MWT distance remained independently associated with cardiovascular events (HR, 1.30; 95% CI, 1.10-1.53; P = .002). We found no evidence that the association between 6MWT distance and cardiovascular events varied by age, sex, current smoking, diabetes, BMI, systolic blood pressure, estimated glomerular filtration rate, hemoglobin, or left ventricular ejection fraction (P > .10 for all).
When considered alongside traditional risk factors, the addition of the 6MWT to traditional risk factors resulted in an increase in the C statistic from 0.69 to 0.72 (P = .04), integrated discrimination improvement of 4.1% (95% CI, 1.0%-8.4%), and category-free net reclassification improvement of 39.3% (95% CI, 19.1%-59.9%) (Table 3).
The 6MWT was compared with treadmill exercise capacity (METs). There was significant correlation between 6MWT distance and treadmill exercise capacity (r = 0.66; P < .001) (Figure 2). Quiz Ref IDThe 6MWT distance and treadmill exercise capacity had similar discrimination for predicting cardiovascular events (C statistics both 0.72; P = .29), integrated discrimination improvement, and category-free net reclassification improvement (Table 3). Adding NT-proBNP and ejection fraction also improved risk prediction over traditional risk factors, and C-reactive protein provided no significant improvement in risk prediction. The addition of the 6MWT to a model including traditional risk factors and NT-proBNP increased the C statistic from 0.72 to 0.74 (95% CI, 0.67-0.78; P = .07), resulted in an integrated discrimination improvement of 2.8% (0.4%-6.6%), and provided category-free net reclassification improvement of 35.3% (15.3%-59.2%).
Quiz Ref IDIn a cohort of patients with stable CHD, we found that shorter distance walked on the 6MWT was associated with higher rates of heart failure, myocardial infarction, and death, independent of traditional cardiovascular disease risk factors and markers of cardiac disease severity. The 6MWT provided additional predictive information beyond traditional risk factors. The ability of the 6MWT to predict cardiovascular events was similar to that of treadmill exercise capacity (METs). These findings suggest that a simple 6MWT is a useful prognostic marker for identifying patients with CHD at high risk of cardiovascular events.
There has been limited evidence regarding the prognostic ability of the 6MWT in patients with chronic CHD. One study evaluated patients with recent coronary artery bypass surgery undergoing cardiac rehabilitation and found the 6MWT to be a predictor of mortality.30 Our findings extend the evidence that the 6MWT predicts cardiovascular events to a general population of patients with stable CHD. The results of this study also expand beyond previous studies that have investigated the 6MWT in patients with heart failure.13- 17,31Quiz Ref IDAlthough 6MWT distance did not reliably correlate with cardiopulmonary exercise testing measures in previous studies,31,32 most studies found that the 6MWT still predicted hospitalizations for heart failure and death in patients with systolic heart failure.13- 16 In addition, a study of older adults with heart failure found that the 6MWT was associated with mortality and highly correlated with frailty.33 Our study reveals that the 6MWT predicts cardiovascular events in a broader population of patients with stable CHD, independent of traditional risk factors and markers of cardiac disease severity.
We found that the 6MWT performed comparably with other tools for predicting future cardiovascular events. Methods of risk assessment based on traditional risk factors do not adequately predict risk of subsequent cardiovascular events in patients with existing CHD.1 Revised methods using additional clinical variables34 or biomarkers3,35,36 have demonstrated only modest improvement in risk discrimination. Cardiopulmonary exercise testing and treadmill exercise capacity can identify patients at high risk of future events and can be used to aid in physical activity and cardiac rehabilitation recommendations.4- 7 Our study suggests a potential alternative to treadmill exercise testing for assessment of prognosis in patients with stable CHD.
Treadmill exercise testing will remain the preferred modality for evaluating patients with suspected ischemia. However, for stable outpatients undergoing testing for prognosis, the 6MWT offers potential advantages. The 6MWT can be conducted with little equipment other than a hallway marked for distance and a stopwatch. Due to the self-paced nature of the test, adverse events of chest pain, dyspnea, or musculoskeletal pain are usually mild; serious adverse events have not been described.21 Furthermore, the 6MWT is less expensive than treadmill exercise testing, especially if stress testing is bundled with imaging that may be unnecessary.12 The 2012 Medicare Physician Fee schedule reports a payment for the 6MWT of $59.91 compared with cardiovascular stress testing at $88.50 (plus $208-$503 for imaging).37
The ability of the 6MWT, a simple office-based test of functional exercise capacity, to predict outcomes in patients with stable CHD is especially relevant because the 6MWT addresses physical activity, a modifiable risk factor for secondary prevention of CHD. Despite evidence demonstrating the efficacy of exercise-based rehabilitation in patients with CHD for reducing mortality,38,39 most patients do not participate in cardiac rehabilitation or achieve recommended levels of physical activity.40- 42 There is a need for improved strategies to identify patients at the greatest risk of cardiovascular events and to motivate patients and physicians to address physical activity as a modifiable risk factor.41 Repeated measurement of the 6MWT could be used as a simple office-based tool to monitor exercise capacity and motivate patients to achieve appropriate levels of physical activity. Although we demonstrated that the 6MWT can predict cardiovascular events in stable CHD, its use for improving prognosis merits further study.
Quiz Ref IDOur study has several limitations. First, we cannot exclude the possibility of selection bias in the main cohort of participants since many invited participants did not enroll in the study. Second, because our study comprised predominantly male participants, the results may not generalize to women. Third, participants were excluded from the Heart and Soul Study if they were unable to walk 1 block. Thus, the results may not extend to patients with significant angina or other limitations in walking. Participants in our study completed the 6MWT and the treadmill exercise test on the same day, which also could have affected these measurements. Finally, not all study participants were able to complete the 6MWT, and participants who could not complete the 6MWT had similar event rates to participants in the lowest quartile of 6MWT performance. This suggests that patients with CHD who cannot perform the 6MWT and those who have poor performance on the 6MWT are at increased risk of cardiovascular events.
In conclusion, we found that distance walked on the 6MWT predicted subsequent cardiovascular events in patients with stable CHD, and its predictive ability was similar to treadmill exercise capacity. The 6MWT may be a useful tool for measuring functional exercise capacity in patients with stable CHD to help target secondary prevention goals for physical activity.
Correspondence: Alexis L. Beatty, MD, Department of Medicine, University of California, 505 Parnassus Ave, PO Box 0124, San Francisco, CA 94143-0124 (email@example.com).
Accepted for Publication: April 10, 2012.
Published Online: June 18, 2012. doi:10.1001/archinternmed.2012.2198
Author Contributions: Drs Beatty and Whooley had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Beatty. Acquisition of data: Whooley. Analysis and interpretation of data: Beatty and Schiller. Drafting of the manuscript: Beatty. Critical revision of the manuscript for important intellectual content: Beatty, Schiller, and Whooley. Statistical analysis: Beatty. Study supervision: Schiller and Whooley.
Financial Disclosure: Dr Whooley reports that she has received research support from Gilead Sciences, Inc, and Roche Diagnostics, Inc.
Funding/Support: Dr Beatty is supported by award F32 HL110518 from the National Heart, Lung, and Blood Institute. The Heart and Soul Study was supported by a grant from the Department of Veterans Affairs (Epidemiology Merit Review Program); grant R01 HL079235 from the National Heart, Lung, and Blood Institute; and grants from the Robert Wood Johnson Foundation (Generalist Physician Faculty Scholars Program), the American Federation for Aging Research (Paul Beeson Faculty Scholars in Aging Research Program), the Ischemia Research and Education Foundation, and Nancy Kirwan Heart Research Fund.
Role of the Sponsors: None of these funding sources had any role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript.