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Original article| Volume 56, ISSUE 3, P215-220, March 2003

The intra- and interobserver variability of ankle–arm blood pressure index according to its mode of calculation

      Abstract

      To propose a standardization of calculus of the ankle–arm index as a diagnostic tool in the clinical setting and epidemiology of peripheral arterial disease, we aimed to study the reproducibility of its measurement through 15 different modes of calculation. The study was performed in a group of 194 vascular laboratory outpatients of a tertiary center. The intra- and interobserver variability was assessed by the intraclass correlation coefficient of agreement and the Bland & Altman method. Methods where the numerator was calculated by the average of posterior tibial and dorsalis pedis artery systolic pressures revealed to be the best reproducible. According to this study and former researches on this topic, we recommend the use of the average of posterior tibial and dorsalis pedis artery systolic pressures of the weakest limb for the numerator and the average of systolic pressures of humeral arteries for the denominator of the ankle–arm index.

      Keywords

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      References

        • Fowkes F.G.R.
        Epidemiological research on peripheral vascular disease.
        J Clin Epidemiol. 2001; 54: 863-868
      1. Greenland P, Abrams J, Aurigemma GP, Bond MG, Clark LT, Criqui MH, Crouse JR, Friedman L, Fuster V, Herrington DM, Kuller LH, Ridker PM, Roberts WC, Stanford W, Stone N, Swan J, Taubert KA, Wexler L. Prevention Conference V. Beyond secondary prevention: Identifying the high-risk patient for primary prevention: noninvasive tests of atherosclerotic burden: Writing group III. Circulation 2000;101:e16–e22.

        • Shrout P.E.
        • Fleiss J.L.
        Intraclass correlations.
        Psychol Bull. 1979; 86: 420-428
        • Bland J.M.
        • Altman D.G.
        Statistical methods for assessing agreement between two methods of clinical measurement.
        Lancet. 1986; i: 307-310
        • Aboyans V.
        • Lacroix P.
        • Preux P.M.
        • Vergnenègre A.
        • Ferrières J.
        • Laskar M.
        Variability of ankle–arm index in general population according to its mode of calculation.
        Int Angiol. 2002; 21: 237-243
        • Fowkes F.G.R.
        • Housley E.
        • Macintyre C.C.A.
        • Prescott R.J.
        • Ruckley C.V.
        Variability of ankle and brachial systolic pressures in the measurement of atherosclerotic peripheral arterial disease.
        J Epidemiol Community Health. 1988; 42: 128-133
        • Kaiser V.
        • Kester A.D.
        • Stoffers H.E.
        • Kitslaar P.J.
        • Knottnerus J.A.
        The influence of experience on the reproducibility of the ankle–brachial systolic pressure ratio in peripheral arterial occlusive disease.
        Eur J Vasc Endovasc Surg. 1999; 18: 25-29
        • Fisher C.M.
        • Burnett A.
        • Makeham V.
        • Kidd J.
        • Glasson M.
        • Harris J.P.
        Variation in measurement of ankle–brachial pressure index in routine clinical practice.
        J Vasc Surg. 1996; 24: 871-875
        • Stoffers H.E.J.H.
        • Kaiser V.
        • Kester A.D.M.
        • Schouten H.J.A.
        • Knottnerus J.A.
        Peripheral arterial occlusive disease in general practice.
        Scand J Prim Health Care. 1991; 9: 109-114
        • Gordon T.
        • Sorlie P.
        • Kannel W.B.
        Problems in the assessment of blood pressure. The Framingham study.
        Int J Epidemiol. 1976; 5: 327-334
        • Hiatt W.R.
        • Hoag S.
        • Hamman R.F.
        Effect of diagnostic criteria on the prevalence of peripheral arterial disease.
        The San Luis Valley Diabetes Study. Circulation. 1995; 91: 1472-1479
        • Leng G.C.
        • Fowkes F.G.
        • Lee A.J.
        • Dunbar J.
        • Housley E.
        • Ruckley C.V.
        Use of ankle brachial pressure index to predict cardiovascular events and death.
        BMJ. 1996; 313: 1440-1444
        • McDermott M.M.
        • Feinglass J.
        • Slavensky R.
        • Pearce W.H.
        The ankle–brachial index as a predictor of survival in patients with peripheral vascular disease.
        J Gen Intern Med. 1994; 9: 445-449
        • McDermott M.M.
        • Criqui M.H.
        • Liu K.
        • Guralnik J.M.
        • Greenland P.
        • Martin G.J.
        • 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