Literature DB >> 9809756

The ankle brachial index independently predicts walking velocity and walking endurance in peripheral arterial disease.

M M McDermott1, K Liu, J M Guralnik, S Mehta, M H Criqui, G J Martin, P Greenland.   

Abstract

OBJECTIVES: Maintaining function among older men and women is an important public health goal as the population lives longer with chronic disease. We report the relationships between lower extremity peripheral arterial disease (PAD), PAD severity, and PAD-related symptoms with walking velocity and endurance among men and women aged 55 and older.
DESIGN: A cross-sectional design.
SETTING: An academic medical center. PARTICIPANTS: Participants with PAD were men and women aged 55 and older identified from a blood flow laboratory or a general medicine practice (n = 158). Randomly selected controls without PAD were identified from the general medicine practice (n = 70). MEASUREMENTS: PAD was diagnosed and quantified using the ankle brachial index (ABI). Subjects were categorized according to whether they had severe PAD (ABI <0.40), mild to moderate PAD (ABI 0.40 to <0.90), or no PAD (ABI 0.90 to <1.50). Walking endurance was assessed with the 6-minute walk. Usual walking velocity and maximal walking velocity were assessed with "usual" and "maximal" paced 4-meter walks, respectively.
RESULTS: Average distances achieved in the 6-minute walk were 1569+/-390 feet for subjects with ABI 0.90-1.50, 1192+/-368 feet for subjects with ABI 0.40 to <0.90, and 942+/-334 feet for subjects with ABI < 0.40 (trend P value < .001). Walking velocities for both the usual and maximal paced 4-meter walks were slowest among subjects with ABI < 0.40 and fastest among subjects with ABI 0.90 to <1.50. Subjects with PAD who had pain at rest had slower walking velocity and poorer walking endurance than other subjects with PAD. In multiple linear regression analyses that included subjects with PAD only, ABI level was an independent predictor of 6-minute walk performance (regression coefficient = 159 ft/0.40 ABI units, P = .011), usual paced 4-meter walk (regression coefficient = .095 meters/sec/0.40 ABI units, P = .031), and maximal paced 4-meter walk (regression coefficient = .120 meters/sec/0.40 ABI units, P = .050) adjusting for age, sex, race, leg symptoms, and comorbid diseases known to affect functioning. Pain at rest was associated independently with the maximally paced 4-meter walk (-0.201 meters/sec, P = .024), but not with the other walks.
CONCLUSION: ABI level has a measurable and independent association with walking endurance and both usual and maximal walking velocity. These data suggest that PAD may impair lower extremity function by diminishing function of both Type I ("slow twitch") and Type II ("fast twitch") muscle fibers. Because walking velocity has important prognostic implications for functioning, these data also suggest that ABI may be used to identify patients at increased risk of mobility loss.

Entities:  

Mesh:

Year:  1998        PMID: 9809756     DOI: 10.1111/j.1532-5415.1998.tb06001.x

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  20 in total

1.  Peripheral arterial disease and ankle-brachial pressure index as predictors of mortality in residents of Metlika County, Slovenia.

Authors:  Blaz Mlacak; Ales Blinc; Maja Pohar; Janez Stare
Journal:  Croat Med J       Date:  2006-04       Impact factor: 1.351

Review 2.  Assessing walking speed in clinical research: a systematic review.

Authors:  James E Graham; Glenn V Ostir; Steven R Fisher; Kenneth J Ottenbacher
Journal:  J Eval Clin Pract       Date:  2008-05-02       Impact factor: 2.431

Review 3.  Relationship between test methodology and mean velocity in timed walk tests: a review.

Authors:  James E Graham; Glenn V Ostir; Yong-Fang Kuo; Steven R Fisher; Kenneth J Ottenbacher
Journal:  Arch Phys Med Rehabil       Date:  2008-05       Impact factor: 3.966

4.  Physical activity during daily life and mortality in patients with peripheral arterial disease.

Authors:  Parveen K Garg; Lu Tian; Michael H Criqui; Kiang Liu; Luigi Ferrucci; Jack M Guralnik; Jin Tan; Mary M McDermott
Journal:  Circulation       Date:  2006-07-03       Impact factor: 29.690

5.  Incident physical disability in people with lower extremity peripheral arterial disease: the role of cardiovascular disease.

Authors:  Jennifer S Brach; Cam Solomon; Barbara L Naydeck; Kim Sutton-Tyrrell; Paul L Enright; Nancy Swords Jenny; Paulo M Chaves; Anne B Newman
Journal:  J Am Geriatr Soc       Date:  2008-04-01       Impact factor: 5.562

6.  Ankle-brachial pressure index and mini nutritional assessment in community-dwelling elderly people.

Authors:  B A Muzembo; Y Nagano; N Dumavibhat; N R Ngatu; T Matsui; S A Bhatti; M Eitoku; R Hirota; K Ishida; N Suganuma
Journal:  J Nutr Health Aging       Date:  2013-04       Impact factor: 4.075

7.  Brachial-ankle pulse wave velocity is associated with walking distance in patients referred for peripheral arterial disease evaluation.

Authors:  Comfort A Amoh-Tonto; A Rauoof Malik; Venkateswarlu Kondragunta; Zeenat Ali; Iftikhar J Kullo
Journal:  Atherosclerosis       Date:  2009-02-12       Impact factor: 5.162

8.  Ankle-brachial index predicts change over time in functional status in the San Diego Population Study.

Authors:  Christina L Wassel; Matthew A Allison; Joachim H Ix; Dena E Rifkin; Nketi I Forbang; Julie O Denenberg; Michael H Criqui
Journal:  J Vasc Surg       Date:  2016-04-29       Impact factor: 4.268

Review 9.  Ankle brachial pressure index (ABPI): An update for practitioners.

Authors:  Mo Al-Qaisi; David M Nott; David H King; Sam Kaddoura
Journal:  Vasc Health Risk Manag       Date:  2009-10-12

10.  Critical review of the ankle brachial index.

Authors:  Tahir H Khan; Falahat A Farooqui; Khusrow Niazi
Journal:  Curr Cardiol Rev       Date:  2008-05
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.