Published online before print July 3, 2006, doi: 10.1161/CIRCULATIONAHA.105.605246
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(Circulation. 2006;114:242-248.)
© 2006 American Heart Association, Inc.
Vascular Medicine |
Physical Activity During Daily Life and Mortality in Patients With Peripheral Arterial Disease
From New York University School of Medicine (P.K.G.), New York City, NY; Northwestern University’s Feinberg School of Medicine (L.T., K.L., J.T., M.M.M.), Chicago, Ill; University of California at San Diego School of Medicine (M.H.C.), San Diego, Calif; and National Institute on Aging (L.F., J.M.G.), Bethesda, Md.
Correspondence to Mary M. McDermott, MD, 676 N St. Clair, Suite 200, Chicago, IL 60611. E-mail mdm608{at}northwestern.edu
Received December 5, 2005; revision received May 9, 2006; accepted May 16, 2006.
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Abstract |
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Background— We determined whether patients with lower-extremity peripheral arterial disease (PAD) who are more physically active during daily life have lower mortality rates than PAD patients who are less active.
Methods and Results— Participants were 460 men and women with PAD (mean age 71.9±8.4 years) followed up for 57 months (interquartile range 36.6 to 61.9 months). At baseline, participants were interviewed about their physical activity. Vertical accelerometers measured physical activity continuously over 7 days in 225 participants. Analyses were adjusted for age, sex, race, body mass index, hypertension, smoking, comorbidities, total cholesterol, HDL cholesterol, leg symptoms, and ankle-brachial index. At 57-month follow-up, 134 participants (29%) had died, including 75 participants (33%) who wore accelerometers. Higher baseline physical activity levels measured by vertical accelerometer were associated with lower all-cause mortality (Ptrend=0.003). Relative to PAD participants in the highest quartile of accelerometer-measured physical activity, those in the lowest quartile had higher total mortality (hazard ratio 3.48, 95% confidence interval 1.23 to 9.87, P=0.019). Similar results were observed for the combined outcome of cardiovascular events or cardiovascular mortality (Ptrend=0.005). Higher numbers of stair flights climbed during 1 week were associated with lower total mortality (Ptrend=0.035).
Conclusions— PAD patients with higher physical activity during daily life have reduced mortality and cardiovascular events compared with PAD patients with the lowest physical activity, independent of confounders. Further study is needed to determine whether interventions that increase physical activity during daily life are associated with improved survival in patients with PAD.
Key Words: claudication • mortality • peripheral vascular disease • physical activity
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Introduction |
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Lower-extremity peripheral arterial disease (PAD) affects &8 million men and women in the United States.1 In primary care medical practices, 20% to 25% of older men and women have a low ankle-brachial index (ABI) consistent with PAD.2,3 Men and women with PAD have higher mortality rates than persons without PAD.4,5
Clinical Perspective p 248
In healthy populations, higher physical activity levels are associated with lower all-cause and cardiovascular disease mortality6–13; however, it is unknown whether higher physical activity levels are associated with lower mortality in patients with PAD. PAD patients have significantly reduced activity levels compared with individuals without PAD.14 It is unclear whether, across the range of activity levels observed in patients with PAD, persons with higher physical activity levels have better outcomes than those with lower physical activity levels. In addition, although supervised exercise rehabilitation improves functional performance in persons with PAD,15 the benefits of higher physical activity levels during daily life among persons with PAD are unknown.
We determined whether, among patients with PAD, higher levels of physical activity during daily life were associated with lower mortality. If higher physical activity levels are associated with lower mortality in patients with PAD, then interventions to increase daily physical activity levels in this population may be beneficial.
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Methods |
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Participant Identification
The institutional review boards of Northwestern University and Catholic Health Partners Hospital approved the protocol. Participants gave written informed consent.
Participants were part of the Walking and Leg Circulation Study (WALCS),16,17 a prospective, observational study designed to identify predictors of functional decline in PAD. Participants were identified from among consecutive patients aged 55 years and older diagnosed with PAD in 3 Chicago-area noninvasive vascular laboratories. All participants had an ABI <0.90 at their baseline visit. Exclusion criteria have been reported previously.16
ABI Measurement
A handheld Doppler probe (Nicolet Vascular Pocket Dop II; Nicolet Biomedical Inc, Golden, Colo) was used to obtain systolic pressures in the right and left brachial, dorsalis pedis, and posterior tibial arteries.18,19 Each pressure was measured twice: in the order listed and in reverse order. The ABI was calculated by dividing the mean of the dorsalis pedis and posterior tibial pressures in each leg by the mean of the 4 brachial pressures.18 Average brachial pressures in the arm with highest pressure were used when one brachial pressure was higher than the opposite brachial pressure in both measurement sets and the 2 brachial pressures differed by 10 mm Hg or more in at least 1 measurement set, because in such cases, subclavian stenosis was possible.18,19 The lowest leg ABI was used in analyses.
Comorbidities
Comorbidities assessed were diabetes mellitus, angina, myocardial infarction, heart failure, cancer, chronic lung disease, and stroke. Disease-specific algorithms that combine data from patient report, medical record review, medications, laboratory values, and a questionnaire completed by the participant’s primary care physician were used to verify and document baseline and incident comorbidities on the basis of criteria developed previously.20 History of coronary revascularization was considered present if reported by the patient or the primary care physician or identified during medical record review.
Blood Collection
Blood was collected into citrate evacuated tubes and immediately put on ice. Tubes were spun at 3000 rpm for 20 minutes at 4°C in a refrigerated centrifuge. Blood was stored at –70°C until analyses were completed up to 3 years after blood collection.
Total Cholesterol and HDL Levels
Total cholesterol levels were measured with an enzymatic reaction (peroxidase/phenol-4-aminoiphenazone indicator reaction).21,22 HDL cholesterol was measured with a direct enzymatic colorimetric assay.22
C-Reactive Protein
High-sensitivity C-reactive protein (hsCRP) levels were determined by an immunotechnique on the Behring BN II analyzer (Dade Behring, Wilmington, Del).
Exertional Leg Symptoms
Leg symptoms were classified on the basis of responses to the San Diego Claudication Questionnaire, according to prior study.16,17,23
Other Measures
Body mass index (BMI) was calculated as weight (kilograms)/height (meters)2. Pack-years of cigarette smoking and history of hypertension were determined by patient report.
Functional Measures
Six-Minute Walk
Following a standardized protocol,24,25 participants walked up and down a 100-ft hallway for 6 minutes after being given instructions to cover as much distance as possible.
Physical Activity
Accelerometer-Measured Physical Activity
Physical activity levels were measured objectively and continuously over 7 days with a vertical accelerometer (Caltrac, Muscle Dynamics Fitness Network, Inc, Torrance, Calif).26–31 After 7 days, participants reported the number of activity units displayed on the accelerometer by telephone to investigators and mailed their accelerometer back to the investigators. We programmed the accelerometer identically for all participants, which allowed us to compare physical activity levels between participants, irrespective of individual variation in age, weight, height, and sex.26,27,30,31 Programmed in this way, the accelerometers measured "activity units."26,27,30,31 This method of measuring physical activity in patients with PAD has been demonstrated previously.14,30,31 For example, in one study, there were no differences in accelerometer scores between persons with and without PAD over a fixed distance of 800 feet; however, over a period of 7 days, PAD participants had substantially lower Caltrac-assessed activity than non-PAD participants.31 Because of limited numbers of accelerometers, we distributed them to participants (49%) whenever available.
Patient-Reported Physical Activity Measures
At the initial visit, participants were asked, "During the last week, how many city blocks or their equivalent did you walk? Let 12 city blocks equal 1 mile." Participants were also asked, "In the last week, about how many flights of stairs did you climb up? A flight is 10 steps." Participants were asked to report the number of times they went walking for exercise during the prior week.
Death
We used the Social Security Administration death database to search for deaths through December 31, 2003. At baseline, each participant provided the names of 3 proxies not living with them to assist with the ascertainment of complete follow-up data. Information on deaths was also obtained from family members, proxies, and primary care physicians. Death certificates were obtained from the state of Illinois or from the patients’ medical records.
Statistical Analyses
Baseline characteristics between decedents and survivors were compared with general linear models for continuous variables and 
2 tests for categorical variables, with adjustment for age and sex. Person-time for each participant was calculated as the number of months from the baseline visit to the date of the most recent visit (last seen) or the date of death, whichever came first. Baseline physical activity levels for each physical activity measure were categorized into quartiles. The fourth quartile represented the highest activity level and the first quartile the lowest activity. Proportional hazards analyses were used to compare differences in survival across quartiles of baseline activity levels, with adjustment for age, sex, race, comorbidities, cigarette smoking, BMI, total cholesterol, high-density lipoprotein (HDL) cholesterol, leg symptoms, and ABI. We tested the proportional hazards assumption for total mortality using martingale residuals–based methods, and we did not find any evidence of significant deviation from the proportional hazards assumption.32
Analyses were repeated for the combined outcome of cardiovascular events or cardiovascular mortality. Cardiovascular events were myocardial infarction, coronary revascularization, or hospitalization for angina or heart failure. Cardiovascular death was defined as death due to myocardial infarction, stroke, or heart failure or sudden death. The causes of 33 of the observed 134 deaths were unknown in the overall population (including 19 of the 75 deaths within the population that wore the vertical accelerometer).
We used multiple imputation methods (10 repeated imputations were used in the analyses) in competing risk analyses to handle the missing cause of death when death certificates were unobtainable.33 Missing data were considered missing at random in that the conditional probability of cardiovascular death among participants with missing death certificates can be modeled with logistic regression with a set of baseline covariates as independent variables.
To determine whether inflammation mediated the associations between physical activity and mortality or cardiovascular events, analyses were repeated with adjustment for hsCRP. We also evaluated associations between baseline physical activity and mortality, adjusting for baseline 6-minute walk performance. Finally, proportional hazards analysis was conducted to determine the association between baseline 6-minute walk performance and total mortality, with adjustment for age, sex, race, comorbidities, ABI, BMI, smoking, total cholesterol, HDL cholesterol, and leg symptoms.
The authors had full access to the data and take full responsibility for its integrity. All authors have read and agree to the manuscript as written.
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Results |
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The study included 460 participants with PAD, 134 of whom died during follow-up. Median follow-up was 57 months (interquartile range 36.6 to 61.9 months). Of the 460 participants, 225 wore the vertical accelerometer for 7 days (75 of whom died during follow-up). Forty percent of deaths were due to cardiovascular disease, and 31% were due to cancer.
The mean age of survivors and decedents was 71.1±8.1 and 73.8±9.0 years, respectively (P=0.001). Table 1 compares other characteristics of survivors and decedents, with adjustment for age and sex. Fifty-six percent of survivors were men versus 68% of decedents (P=0.017). Compared with survivors, decedents included a higher proportion of blacks, and they had a lower ABI, a higher number of cardiac or cerebrovascular diseases, and lower accelerometer-measured physical activity (Table 1). Decedents had higher baseline prevalences of hypertension, cancer, pulmonary disease, and diabetes mellitus (Table 1). Participants who wore a vertical accelerometer had significantly higher HDL levels than those who did not (Table 2). There were no other differences in characteristics of participants who wore the accelerometer versus those who did not (Table 2). Across the quartiles of accelerometer-measured physical activity levels, we observed significant associations between higher accelerometer-measured physical activity levels with more blocks walked, more stair flights climbed, and better 6-minute walk performance (Table 3).
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Figure 1 shows associations between baseline physical activity levels, measured by the vertical accelerometer, and total mortality. With adjustment for age, sex, race, BMI, ABI, pack-years of smoking, comorbidities, total cholesterol, HDL cholesterol, and leg symptoms, higher physical activity levels were associated with lower mortality at 57-month follow-up (Ptrend=0.003). Compared with the highest (4th) quartile of physical activity levels, participants in the lowest (1st) quartile had a significantly higher risk of mortality (hazard ratio (HR) 3.48, 95% confidence interval(CI) 1.23 to 9.87, P=0.019). Additional covariates associated significantly with mortality were diabetes mellitus (P=0.002) and pulmonary disease (P=0.035; Table 4). The results were not changed substantially after adjustment for hsCRP (overall Ptrend=0.015; HR for the 1st versus 4th quartile 3.09, 95% CI 1.06 to 8.99, P=0.039). In these latter analyses, hsCRP was not associated significantly with mortality (P=0.663).
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Because participants who were ill at baseline were likely both to be inactive and to have a higher mortality risk, we repeated analyses after excluding participants who died during the first 2 years. A similar, significant trend remained between higher physical activity levels and lower mortality (Ptrend=0.028), even after we excluded individuals who died during the first 2 years of follow-up. In these analyses, the HR for participants in the lowest versus highest quartile of physical activity at baseline was 4.22 (95% CI 1.09 to 16.3, P=0.037). To adjust for the effects of better physical performance on the relationship between physical activity and mortality, analyses were repeated with additional adjustment for 6-minute walk performance. Associations between accelerometer-measured activity and total mortality were somewhat attenuated but remained statistically significant overall (overall Ptrend for association between accelerometer-measured physical activity and mortality 0.018; HR for participants in the lowest versus highest quartile of physical activity 2.81, 95% CI 0.93 to 8.49, P=0.067).
Table 5 shows associations between patient-reported physical activity and total mortality. After adjustment for confounders, fewer flights of stairs climbed during the previous week were associated with higher mortality (Table 5).
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Higher baseline accelerometer-measured physical activity levels during daily life were associated with lower cardiovascular events or cardiovascular mortality at 57-month follow-up, after adjustment for confounders (Ptrend=0.005; HR for participants in the lowest versus highest quartile of physical activity 2.10, 95% CI 1.06 to 4.14, P=0.033; Figure 2). There were no significant associations between stair flights climbed or blocks walked during the past week with the combined outcome of cardiovascular events or mortality (data not shown).
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Better 6-minute walk performance at baseline was associated with lower mortality at 57-month follow-up, after adjustment for age, sex, race, ABI, BMI, smoking, comorbidities, total cholesterol, HDL cholesterol, and leg symptoms. The HR was 0.76 per SD higher increment of 6-minute walk performance (95% CI 0.59 to 0.97, P=0.027). The SD for the 6-minute walk was 376 feet. In analyses that included adjustment for accelerometer-measured physical activity in addition to the 6-minute walk, the association between 6-minute walk performance and total mortality was no longer significant (P=0.085).
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Discussion |
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Among persons with PAD, lower physical activity levels during daily life, measured by a vertical accelerometer, were associated with significantly higher mortality at 5-year follow-up compared with higher physical activity during daily life. Individuals in the lowest baseline quartile of physical activity had a 3-fold higher mortality rate than those in the highest baseline quartile. Results were largely unchanged even after the exclusion of participants who died during the first 2 years of follow-up. Similarly, individuals in the lowest baseline quartile of physical activity had an increased risk of cardiovascular events or cardiovascular deaths relative to participants in the highest baseline quartile. Participants with the best 6-minute walk performance at baseline had lowest mortality at follow-up, but these findings were attenuated after additional adjustment for physical activity. Our findings suggest that clinicians should encourage patients with PAD to increase their physical activity during daily life.
Supervised treadmill walking substantially improves walking performance in patients with intermittent claudication15; however, barriers such as cost and transportation limit access to exercise rehabilitation programs for most patients with PAD.34,35 Supervised treadmill walking exercise is a relatively intense intervention that differs substantially from physical activity during daily life. To the best of our knowledge, no prior studies have assessed the relationship between physical activity levels during daily life and outcomes in persons with PAD.
The present results are important in part because patients with PAD have substantially higher mortality than individuals without PAD.4,5 In addition, persons with PAD have substantially lower physical activity levels than individuals without PAD.17,30,36,37 In one study of persons aged 55 years and older, 20 PAD participants had less than half of the activity observed in 21 non-PAD participants (803 activity units/week versus 1750 activity units/week, P<0.001).30 Another study found similar results when comparing physical activity levels measured by an accelerometer for 85 PAD patients with intermittent claudication versus 59 patients without PAD (357 kcal/d versus 616 kcal/d, P<0.001).37
Study Limitations
The present study has limitations. Only 49% of participants wore the vertical accelerometer device because of the limited availability of these monitors. Vertical accelerometers were provided to each participant at the end of their study visit on the basis of availability. However, except for a higher HDL cholesterol level among participants who wore the accelerometer, there were no differences in baseline characteristics between participants who wore the accelerometer versus those who did not. A second limitation is that the present study was observational. Unidentified confounders associated with higher physical activity levels may have contributed to the differences observed here. A third limitation is that we did not collect data on intensity of physical activity levels. A fourth limitation is that our multivariate proportional hazards analyses included up to 21 covariates, which may result in model overfitting; however, we conducted additional analyses in which potential confounders were entered sequentially into the regression model. Results showed that the adjusted associations between physical activity and mortality (or cardiovascular events) were not sensitive to the number of covariates in the multivariate analyses. Nonetheless, our findings require confirmation in other PAD populations. Finally, our findings may be due to greater illness severity among PAD patients, who are both less physically active and at higher mortality risk. However, the exclusion of deaths during the first 2 years of follow-up did not change our findings.
In conclusion, PAD patients with higher levels of physical activity during daily life have reduced mortality rates. Future study with a clinical trial is necessary to determine whether interventions that increase physical activity levels during daily life reduce mortality in patients with PAD. In the meantime, the present findings suggest that clinicians should encourage patients with PAD to increase their physical activity during daily life.
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Acknowledgments |
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Sources of Funding
This study was supported by grants R01-HL58099, R01-HL64739, and R01-HL71223 from the National Heart, Lung, and Blood Institute and by grant RR-00048 from the National Center for Research Resources, National Institutes of Health. Drs McDermott, Tian, Liu, Criqui, Ferrucci, and Guralnik are investigators on R01-HL073351 from the National Heart, Lung, and Blood Institute (NHLBI). J. Tan is a member of the data management team for R01-HL073351. Dr McDermott is also principal investigator on R01-HL073912 from the NHLBI.
Disclosures
Drs Tian and Liu are coinvestigators and Dr McDermott is Principal Investigator for the "Improving Functioning in Peripheral Arterial Disease" research grant (R01-HL073351) from the NHLBI. Drs Criqui, Ferrucci, and Guralnik serve as consultants for and J. Tan is part of the data management team for this same research grant.
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References |
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TopAbstractIntroductionMethodsResultsDiscussionReferences |
|---|
1. Allison MA, Criqui MH, Ho E, Denenberg J. The estimated ethnic-specific prevalence of peripheral arterial disease in the United States, 2000. Circulation. 2004; 110 (suppl III): III-817. Abstract.
2. Hirsch AT, Criqui MH, Treat-Jacobson D, Regensteiner JG, Creager MA, Olin JW, Krook SH, Hunninghake DB, Comerota AJ, Walsh ME, McDermott MM, Hiatt WR. Peripheral arterial disease detection, awareness, and treatment in primary care. JAMA. 2001; 286: 1317–1324.
3. McDermott MM, Kerwin DR, Liu K, Martin GJ, O’Brien E, Kaplan H, Greenland P. Prevalence and significance of unrecognized lower extremity peripheral arterial disease in general medicine practice. J Gen Intern Med. 2001; 16: 384–390.[CrossRef][Medline] [Order article via Infotrieve]
4. Criqui MH, Langer RD, Fronek A, Feigelson HS, Klauber MR, McCann TJ, Browner D. Mortality over a period of 10 years in patients with peripheral arterial disease. N Engl J Med. 1992; 326: 381–386.[Abstract]
5. Newman AB, Sutton-Tyrrell K, Vogt MT, Kuller LH. Morbidity and mortality in hypertensive adults with a low ankle/arm blood pressure index. JAMA. 1993; 270: 487–489.
6. Johansson SE, Sundquist J. Change in lifestyle factors and their influence on health status and all-cause mortality. Int J Epidemiol. 1999; 28: 1073–1080.
7. Andersen LB, Schnohr P, Schroll M, Hein HO. All-cause mortality associated with physical activity during leisure time, work, sports, and cycling to work. Arch Intern Med. 2000; 160: 1621–1628.
8. Dorn JP, Cerny FJ, Epstein LH, Naughton J, Vena JE, Winkelstein W Jr, Schisterman E, Trevisan M. Work and leisure time physical activity and mortality in men and women from a general population sample. Ann Epidemiol. 1999; 9: 366–373.[CrossRef][Medline] [Order article via Infotrieve]
9. Paffenbarger RS Jr, Hyde RT, Wing AL, Hsieh CC. Physical activity, all-cause mortality, and longevity of college alumni. N Engl J Med. 1986; 314: 605–613.[Abstract]
10. Fang J, Wylie-Rosett J, Cohen HW, Kaplan RC, Alderman MH. Exercise, body mass index, caloric intake, and cardiovascular mortality. Am J Prev Med. 2003; 25: 283–289.[CrossRef][Medline] [Order article via Infotrieve]
11. Oguma Y, Sesso HD, Paffenbarger RS Jr, Lee IM. Physical activity and all cause mortality in women: a review of the evidence. Br J Sports Med. 2002; 36: 162–172.
12. Kaplan GA, Strawbridge WJ, Cohen RD, Hungerford LR. Natural history of leisure-time physical activity and its correlates: associations with mortality from all causes and cardiovascular disease over 28 years. Am J Epidemiol. 1996; 144: 793–797.
13. Haapanen N, Miilunpalo S, Vuori I, Oja P, Pasanen M. Characteristics of leisure time physical activity associated with decreased risk of premature all-cause and cardiovascular disease mortality in middle-aged men. Am J Epidemiol. 1996; 143: 870–880.
14. McDermott MM, Greenland P, Liu K, Guralnik JM, Celic L, Criqui MH, Chan C, Martin GJ, Schneider J, Pearce WH, Taylor LM, Clark E. The ankle brachial index is associated with leg function and physical activity: the Walking and Leg Circulation Study. Ann Intern Med. 2002; 136: 873–883.
15. Gardner AW, Poehlman ET. Exercise rehabilitation programs for the treatment of claudication pain: a meta-analysis. JAMA. 1995; 274: 975–980.
16. McDermott MM, Greenland P, Liu K, Guralnik JM, Criqui MH, Dolan NC, Chan C, Celic L, Pearce WH, Schneider JR, Sharma L, Clark E, Gibson D, Martin GJ. Leg symptoms in peripheral arterial disease: associated clinical characteristics and functional impairment. JAMA. 2001; 286: 1599–1606.
17. McDermott MM, Liu K, Greenland P, Guralnik JM, Criqui MH, Chan C, Pearce WH, Schneider JR, Ferrucci L, Celic L, Taylor LM, Vonesh E, Martin GJ, Clark E. Functional decline in peripheral arterial disease: associations with the ankle brachial index and leg symptoms. JAMA. 2004; 292: 453–461.
18. McDermott MM, Criqui MH, Liu K, Guralnik JM, Greenland P, Martin GJ, Pearce W. Lower ankle/brachial index, as calculated by averaging the dorsalis pedis and posterior tibial arterial pressures, and association with leg functioning in peripheral arterial disease. J Vasc Surg. 2000; 32: 1164–1171.[CrossRef][Medline] [Order article via Infotrieve]
19. Hiatt WR, Hoag S, Hamman RF. Effect of diagnostic criteria on the prevalence of peripheral arterial disease: the San Luis Valley Diabetes Study. Circulation. 1995; 91: 1472–1479.
20. Guralnik J, Fried LP, Simonsick EM, Kaspar JD, Lafferty ME, eds. The Women’s Health and Aging Study: Health and Social Characteristics of Older Women with Disability. Bethesda, Md: National Institute on Aging, National Institutes of Health; 1995.
21. Allain CC, Poon LS, Chan CS, Richmond W, Fu PC. Enzymatic determination of total serum cholesterol. Clin Chem. 1974; 20: 470–475.[Abstract]
22. Sugiuchi H, Uji Y, Okabe H, Irie T, Uekama K, Kayahara N, Miyauchi K. Direct measurement of high-density lipoprotein cholesterol in serum with polyethylene glycol-modified enzymes and sulfated alpha-cyclodextrin. Clin Chem. 1995; 41: 717–723.
23. Criqui MH, Denenberg JO, Bird CE, Fronek A, Klauber MR, Langer RD. The correlation between symptoms and non-invasive test results in patients referred for peripheral arterial disease testing. Vasc Med. 1996; 1: 65–71.[Medline] [Order article via Infotrieve]
24. Montgomery PS, Gardner AW. The clinical utility of a six-minute walk test in peripheral arterial occlusive disease patients. J Am Geriatr Soc. 1998; 46: 706–711.[Medline] [Order article via Infotrieve]
25. Guyatt GH, Sullivan MJ, Thompson PJ, Fallen EL, Pugsley SO, Taylor DW, Berman LB. The 6-minute walk: a new measure of exercise capacity in patients with chronic heart failure. Can Med Assoc J. 1985; 132: 919–923.[Abstract]
26. Richardson MT, Leon AS, Jacobs DR Jr, Ainsworth BE, Serfass R. Ability of the Caltrac accelerometer to assess daily physical activity levels. J Cardiopulm Rehabil. 1995; 15: 107–113.[Medline] [Order article via Infotrieve]
27. Miller DJ, Freedson PS, Kline GM. Comparison of activity levels using the Caltrac accelerometer and five questionnaires. Med Sci Sports Exerc. 1994; 26: 376–382.[Medline] [Order article via Infotrieve]
28. Sallis JF, Buono MJ, Roby JJ, Carlson D, Nelson JA. The Caltrac accelerometer as a physical activity monitor for school-age children. Med Sci Sports Exerc. 1990; 22: 698–703.[CrossRef][Medline] [Order article via Infotrieve]
29. Swan PD, Byrnes WC, Haymes EM. Energy expenditure estimates of the Caltrac accelerometer for running, race walking, and stepping. Br J Sports Med. 1997; 31: 235–239.
30. McDermott MM, Liu K, O’Brien E, Guralnik JM, Criqui MH, Martin GJ, Greenland P. Measuring physical activity in peripheral arterial disease: a comparison of two physical activity questionnaires with an accelerometer. Angiology. 2000; 51: 91–100.[Medline] [Order article via Infotrieve]
31. McDermott MM, Ohlmiller SM, Liu K, Guralnik JM, Martin GJ, Pearce WH, Greenland P. Gait alterations associated with walking impairment in people with peripheral arterial disease with and without intermittent claudication. J Am Geriatr Soc. 2001; 49: 747–754.[CrossRef][Medline] [Order article via Infotrieve]
32. Lin DY, Wei LJ, Ying Z. Checking the Cox model with cumulative sums of martingale residuals. Biometrika. 1993; 80: 557–572.
33. Lu K, Tsiatis AA. Multiple imputation methods for estimating regression coefficients in the competing risks model with missing cause of failure. Biometrics. 2001; 57: 1191–1197.[CrossRef][Medline] [Order article via Infotrieve]
34. Falcone RA, Hirsch AT, Regensteiner JG, Treat-Jacobson D, Williams MA, Hiatt WR, Stewart KJ. Peripheral arterial disease rehabilitation: a review. J Cardiopulm Rehabil. 2003; 23: 170–175.[CrossRef][Medline] [Order article via Infotrieve]
35. Regensteiner JG. Exercise rehabilitation for the patient with intermittent claudication: a highly effective yet underutilized treatment. Curr Drug Targets Cardiovasc Haematol Disord. 2004; 4: 233–239.[CrossRef][Medline] [Order article via Infotrieve]
36. McDermott MM, Liu K, Guralnik JM, Mehta S, Criqui MH, Martin GJ, Greenland P. The ankle brachial index independently predicts walking velocity and walking endurance in peripheral arterial disease. J Am Geriatr Soc. 1998; 46: 1355–1362.[Medline] [Order article via Infotrieve]
37. Sieminski DJ, Gardner AW. The relationship between free-living daily physical activity and the severity of peripheral arterial occlusive disease. Vasc Med. 1997; 2: 286–291.[Medline] [Order article via Infotrieve]
 |
|
 |
|
  K. Kroger, N. Dragano, A. Stang, S. Moebus, S. Mohlenkamp, K. Mann, J. Siegrist, K.-H. Jockel, R. Erbel, and on behalf of the Heinz Nixdorf Recall Study Invest An unequal social distribution of peripheral arterial disease and the possible explanations: results from a population-based study Vascular Medicine, November 1, 2009; 14(4): 289 - 296. [Abstract] [PDF]
|
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 M. M. McDermott, L. Ferrucci, J. Guralnik, L. Tian, K. Liu, F. Hoff, Y. Liao, and M. H. Criqui Pathophysiological Changes in Calf Muscle Predict Mobility Loss at 2-Year Follow-Up in Men and Women With Peripheral Arterial Disease Circulation, September 22, 2009; 120(12): 1048 - 1055. [Abstract] [Full Text] [PDF]
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L. Payvandi, A. Dyer, D. McPherson, P. Ades, J. Stein, K. Liu, L. Ferrucci, M. H Criqui, J. M Guralnik, D. Lloyd-Jones, et al. Physical activity during daily life and brachial artery flow-mediated dilation in peripheral arterial disease Vascular Medicine, August 1, 2009; 14(3): 193 - 201. [Abstract] [PDF]
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|
WRITING GROUP MEMBERS, D. Lloyd-Jones, R. Adams, M. Carnethon, G. De Simone, T. B. Ferguson, K. Flegal, E. Ford, K. Furie, A. Go, et al. Heart Disease and Stroke Statistics--2009 Update: A Report From the American Heart Association Statistics Committee and Stroke Statistics Subcommittee Circulation, January 27, 2009; 119(3): e21 - e181. [Full Text] [PDF]
|
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|
 |
|
 M. M. McDermott, P. Ades, J. M. Guralnik, A. Dyer, L. Ferrucci, K. Liu, M. Nelson, D. Lloyd-Jones, L. Van Horn, D. Garside, et al. Treadmill Exercise and Resistance Training in Patients With Peripheral Arterial Disease With and Without Intermittent Claudication: A Randomized Controlled Trial JAMA, January 14, 2009; 301(2): 165 - 174. [Abstract] [Full Text] [PDF]
|
|
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M. Joras and P. Poredos The association of acute exercise-induced ischaemia with systemic vasodilator function in patients with peripheral arterial disease Vascular Medicine, November 1, 2008; 13(4): 255 - 262. [Abstract] [PDF]
|
|
|
|
 |
|
 K. I. Paraskevas, T. T. Papas, P. Pavlidis, N. Bessias, and V. Andrikopoulos The Importance of Conservative Measures in Peripheral Arterial Disease: An Update Angiology, October 1, 2008; 59(5): 529 - 533. [PDF]
|
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|
|
 |
|
 L. M. Steffen, D. A. Duprez, J. L. Boucher, A. G. Ershow, and A. T. Hirsch Management of Peripheral Arterial Disease Diabetes Spectr, July 1, 2008; 21(3): 171 - 177. [Abstract] [Full Text] [PDF]
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 M. M. McDermott, L. Tian, and K. Liu Association between Protein Levels and Mortality in Patients with Peripheral Arterial Disease Ann Intern Med, July 1, 2008; 149(1): 64 - 65. [Full Text] [PDF]
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M. M. McDermott, J. M. Guralnik, L. Ferrucci, L. Tian, K. Liu, Y. Liao, D. Green, R. Sufit, F. Hoff, T. Nishida, et al. Asymptomatic Peripheral Arterial Disease Is Associated With More Adverse Lower Extremity Characteristics Than Intermittent Claudication Circulation, May 13, 2008; 117(19): 2484 - 2491. [Abstract] [Full Text] [PDF]
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 M. M. McDermott, L. Tian, K. Liu, J. M. Guralnik, L. Ferrucci, J. Tan, W. H. Pearce, J. R. Schneider, and M. H. Criqui Prognostic Value of Functional Performance for Mortality in Patients With Peripheral Artery Disease J. Am. Coll. Cardiol., April 15, 2008; 51(15): 1482 - 1489. [Abstract] [Full Text] [PDF]
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 S. C. Newcomer, C. L. Sauder, N. T. Kuipers, M. H. Laughlin, and C. A. Ray Effects of posture on shear rates in human brachial and superficial femoral arteries Am J Physiol Heart Circ Physiol, April 1, 2008; 294(4): H1833 - H1839. [Abstract] [Full Text] [PDF]
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Writing Group Members, W. Rosamond, K. Flegal, K. Furie, A. Go, K. Greenlund, N. Haase, S. M. Hailpern, M. Ho, V. Howard, et al. Heart Disease and Stroke Statistics--2008 Update: A Report From the American Heart Association Statistics Committee and Stroke Statistics Subcommittee Circulation, January 29, 2008; 117(4): e25 - e146. [Full Text] [PDF]
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M. M. McDermott, J. M. Guralnik, L. Tian, L. Ferrucci, K. Liu, Y. Liao, and M. H. Criqui Baseline Functional Performance Predicts the Rate of Mobility Loss in Persons With Peripheral Arterial Disease J. Am. Coll. Cardiol., September 4, 2007; 50(10): 974 - 982. [Abstract] [Full Text] [PDF]
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M. M. McDermott, L. Ferrucci, J. M. Guralnik, L. Tian, D. Green, K. Liu, J. Tan, Y. Liao, W. H. Pearce, J. R. Schneider, et al. Elevated Levels of Inflammation, D-Dimer, and Homocysteine Are Associated With Adverse Calf Muscle Characteristics and Reduced Calf Strength in Peripheral Arterial Disease J. Am. Coll. Cardiol., August 28, 2007; 50(9): 897 - 905. [Abstract] [Full Text] [PDF]
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