Associations between the toe brachial index and health-related quality of life in older people
© Sonter and Chuter. 2016
Received: 26 July 2015
Accepted: 11 March 2016
Published: 22 March 2016
Peripheral arterial disease is responsible for impaired health-related quality of life as a consequence of associated morbidity and mortality. The toe brachial index (TBI) provides non-invasive assessment of peripheral arterial health. Lower TBI values have been associated with foot ulceration, amputation and impaired healing, however, the relationship with health-related quality of life has not yet been investigated. The aim of this study was to explore the relationship between the TBI and health-related quality of life.
This was a cross-sectional study of 100 participants aged over 50 years recruited from podiatry clinics in New South Wales, Australia. The TBI was calculated using automated equipment and quality of life was assessed using the Short Form 36 version 2 (SF-36v2). Strength of associations was determined using Pearson and Spearman correlation coefficients.
Lower TBI values demonstrated modest significant associations with poorer scores for the SF-36v2 domains Role Physical (r s = 0.219, p > 0.05), Social Function (r s = 0.219, p < 0.05) and the Physical Component Summary score (r s = 0.203, p < 0.05).
The toe brachial index demonstrates limited associations with physical and social aspects of health-related quality of life in older people.
In the lower limb, peripheral arterial disease (PAD) may remain asymptomatic or progress to such a degree that symptoms manifest as ischaemic pain, impaired wound healing and tissue loss . Even in the absence of symptoms, PAD is associated with reduced physical capacity and functional decline [2, 3]. Furthermore the condition is responsible for reduced health-related quality of life (HRQoL) comparable to that of cardiovascular disease due to pain, sleep disturbance and reduced mobility [4–7]. Early diagnosis and timely risk factor modification are necessary to prevent the direct and indirect complications of PAD. Given the varied presentation and often-asymptomatic nature of the disease process, early detection relies on routine clinical screening and non-invasive tests.
The traditional office-based assessment for PAD is the ankle-brachial index (ABI), calculated as the ratio of ankle to brachial blood pressure. In the general population the ABI has been shown to have high specificity for the presence of PAD, with a low ABI considered prognostic of future cardiovascular morbidity and mortality [8, 9]. In addition, the ratio has been has been shown to correlate well with lower limb function and walking ability [10, 11] but weakly with HRQoL . There is also growing evidence demonstrating limited diagnostic accuracy of this test in specific populations including those of older age and people with diabetes or significant renal disease [1, 13, 14].
The toe brachial index (TBI), calculated from the ratio of toe and brachial blood pressure is an alternative non-invasive test which has been shown to have better diagnostic accuracy for detecting PAD than the ABI in specific patient populations especially those with diabetes [15, 16]. While recent review has demonstrated there is currently insufficient literature to conclude a specific cut-off value for PAD diagnosis, the TBI was found to be useful in detecting disease regardless of the diagnostic limit used . As a more distal measure of blood flow the TBI is less affected by the complications that may invalidate the ABI including medial arterial calcification . Furthermore, low toe pressures have been shown to be significantly associated with higher likelihood of non-healing wounds and amputation . However, there is currently limited evidence regarding the predictive capacity of the TBI for morbidity and mortality, and there has been no investigation of relationships with other measures of health including HRQoL. As a diagnostic test for PAD with greater accuracy than the ABI in at risk populations the TBI may also reflect changes in HRQoL associated with the condition and possibly to a greater extent than the ABI.
The aim of the present study was to explore the relationship between the TBI and components of HRQoL as measured using the generic Short Form 36 version 2 questionnaire (SF-36v2) in older people with and without diabetes.
From January 2013 to February 2015, a volunteer convenience sample was recruited from patients attending routine podiatry consultation at six podiatry clinics in the Sydney and Newcastle regions of New South Wales, Australia. Inclusion criteria included those aged over 50 years with a history of diabetes or smoking and anyone aged over 65 years, consistent with recommendations for routine vascular screening . Exclusion criteria included contraindications to taking toe or brachial blood pressure and inability to comply with study protocol. Seven podiatrists performed all measurements and collected participant information. Ethical approval for this study was granted by the University of Newcastle and New South Wales Health Human Research Ethics Committees. All participants including patients and clinicians gave written informed consent prior to participation in this study.
Blood pressure measurement
Toe blood pressure was measured using automated Systoe® devices (Atys Medical, Soucieu-en-Jarrest, France) consisting of an occlusion cuff, draining cuff, photoplethysmograhy probe and running unit. A pre-programed sequence of cuff inflation (to 290 mmHg) and linear deflation was used with software to detect the point of blood flow return. Brachial blood pressure was measured using MicroLife BP A100 Plus (MicroLife AG, Widnau, Switzerland) automated arm pressure cuff and unit. A TBI value was calculated for each limb by dividing the toe blood pressure by the highest of the left and right brachial systolic blood pressure. The lowest TBI from each participant was used in the analysis.
Health-related quality of life
HRQoL was assessed using the SF-36v2Health Survey (Quality Metric). This is a reliable and valid generic health questionnaire that includes 36 questions to measure eight categories of HRQoL: physical functioning, role physical, bodily pain, general health, vitality, social functioning, role emotional, and mental health . Each category is scored 1–100, with higher scores indicating better quality of life in each category. Two summary scores are generated to provide an overall approximation of mental and physical health.
Testing was undertaken at six clinical locations by seven podiatrists. The testing environment was maintained at 23–25 °C and participants were requested to refrain from smoking, exercising and consuming alcohol or caffeine for at least two hours prior to clinical assessment. Participants rested in a supine position for 10 min prior to blood pressure measurement at both arms and both great toes . A single measurement was performed at each site. This equipment and the techniques used have previously been found to be reliable when used by different clinicians in older people . SF-36v2 questionnaires were dispensed to all participants. Demographic data, smoking history (ever or never), medications and medical history including history of foot complications (ulceration and digital amputations) were recorded during the testing session. The presence of patient-reported intermittent claudication (exertional leg pain relieved by rest) and rest pain (leg pain at rest relieved by dependence) were also recorded as PAD symptoms. Participants completed the SF-36v2 questionnaire on the day of testing. The HRQoL was assessed on a 4-week recall. A researcher who was not involved in taking the measurements entered all data relating to the TBI and HRQoL.
Quality Metric Health Outcomes ™ Scoring Software 4.5 © was used to transform SF-36v2 data. The resultant scores were then transferred to SPSS v 22 (IBM SPSS Statistics for Macintosh, Version 22, Armonk, NY, USA) for statistical analyses. Descriptive statistics were calculated and normality assessed visually using histograms and using the Shapiro-Wilk test. Pearson’s (r) and Spearman’s rho correlation coefficient (r s) was used to assess the presence and strength of associations between the TBI and HRQoL , and were interpreted according to Cohen  (<0.1 insubstantial, 0.1–0.3 small, 0.3–0.5 moderate, > 0.5 large). Significance was set at an alpha level of 0.05. T-tests were performed to establish if a difference exists between HRQoL between participants with and without diabetes, with and without a history of smoking, and males and females.
32 (58 %)
21 (53 %)
53 (53 %)
68 ± 9*
72 ± 10
70 ± 10
Body mass index (kg/m2)
32.11 ± 7.87
29.54 ± 6.45
30.95 ± 7.34
Toe brachial index
0.76 ± 0.22
0.82 ± 0.19
0.79 ± 0.21
18 (33 %)
16 (36 %)
34 (34 %)
30 (55 %)
22 (49 %)
52 (52 %)
18 (33 %)
15 (33 %)
33 (33 %)
History ulcer or amputation
3 (5 %)
1 (2 %)
4 (4 %)
Intermittent claudication or rest pain
3 (6 %)
2 (4 %)
5 (5 %)
Health-related quality of life
Median SF-36v2 scores
Median (25th, 75th centiles)
Physical component summary
Mental component summary
Mean SF-36v2 scores
Mean (Standard deviation)
Spearman correlations between SF-36v2 domains and the TBI, PAD symptoms, and complications
Toe brachial index
SF-36 v2 Domain
Physical component summary
Mental component summary
Pearson correlations between SF-36v2 domains and the TBI, PAD symptoms and foot complications
Toe brachial index
SF-36 v2 Domain
T-test for domain differences between sub-groups
Diabetes vs no diabetes
Smokers vs non-smokers
Males vs females
This study of 100 participants is the first investigation of the relationship between the TBI and HRQoL. The mean TBI value in this population was 0.79 (±0.21), a value above the threshold for the diagnosis of PAD that suggests the population as a whole was generally without severe disease of the peripheral vasculature. Despite this, people with lower TBI values were found to have reduced HRQoL for the SF-36v2 domains Social Function, Role Physical, and the Physical Component Summary.
People with lower TBI values had greater and more frequent interference with normal social activities due to physical and emotional problems as indicated by poorer scores for the SF-36v2 Social Function domain (r s = 0.219, p = 0.028) . Reduced social functioning has previously been shown in people with intermittent claudication symptoms from significant PAD, which is proposed to lead to feelings of inadequacy and may result in social isolation [6, 26]. In this present study PAD symptoms were not found to correlate significantly with the Social Function domain. However this is likely to have been confounded by the very small number of participants recruited who reported painful PAD symptoms. Had the participant cohort had a lower mean TBI, indicative of more frequent and more severe pathology it is possible a similar relationship between PAD symptoms and reduced Social Function would have been demonstrated. Furthermore, the TBI is reflective of lower limb vascular health generally and may be affected by disease other than PAD including microvascular diseases such as peripheral neuropathy. It is possible that investigation of a study population with a lower mean TBI would demonstrate associations with other or atypical symptoms responsible for physical or emotional limitations of social function, including neuropathy and microvascular disease.
This study also demonstrated a significant relationship between lower TBI values and the SF-36v2 Role Physical domain (r s = 0.219, p = 0.029). This scale reflects problems with work or other daily activities that result from physical health and our results indicate people with lower TBI values are more likely to be limited in the type and amount of work they perform . This domain also demonstrated significant inverse correlations with foot complications (r s = −0.222) and PAD symptoms (r s = −0.206). The TBI has recently demonstrated significant correlations with PAD symptoms and foot complications in older people and may additionally reflect physical limitations associated with these [Unpublished observations Sonter, J. and Chuter V].
While the painful symptoms of PAD are known to limit activity and to correlate significantly with reduced Role Physical HRQoL, many people with PAD have atypical symptoms or are asymptomatic. Indeed previous studies have reported approximately 30–45 % of people with PAD will experience atypical symptoms [27–30]. Even in these cases, the level of impairment may greater than for those without PAD [3, 4, 31]. In the present study the population was generally without PAD and yet a modest significant association between the TBI and lower Physical Component Summary score was found (r s = 0.203, p < 0.05). The median score for the Physical Component Summary was the lowest of all SF-36v2 domains assessed in this population [46 (37–52)]. Low scores on this scale encompass limitations in self-care, physical, social and role activities, body pain, tiredness, and a poor health rating . Given the similarly lower TBI values associated with reductions in both Social Function and Role Physical, a significant association with this composite score is unsurprising. In a study of people with peripheral vascular disease, the ABI also demonstrated a small correlation with the SF-36 Physical Component Summary score . As both the ABI and TBI are used to assess the peripheral vasculature, the similar results are likely due to both reflecting PAD-associated physical impairment. More specific physical impairments including reduced walking speed, activity level and standing balance have been associated with the ABI . As a similar measure with potentially greater utility in at-risk populations, the TBI could also reflect reductions in these physical functions and activities. In the present study 28 % of participants were found to have a TBI of less than 0.70, a suggested diagnostic threshold for PAD. As only 5 % of participants reported traditional symptoms the correlations found may underestimate the relationship between the TBI and HRQoL. Further investigation of the functional limitations occurring at lower TBI values would provide a clearer understanding of the specific lower limb impairments associated with the index and the effect of these on HRQoL.
The results of this study should be interpreted in the context of its limitations. It is important to acknowledge that many factors influence HRQoL and causality was not investigated in this study. This was a cross-sectional study and as such only correlations have been reported. Given the older age of participants in the present study and generic SF-36v2 tool used it is likely the results are affected by other factors unrelated to PAD or the TBI. The overall mean TBI indicated most of the population was without significant pathology, therefore it is likely that the correlations would be stronger in a more symptomatic population. However, this population is reflective of community-based populations attending podiatry services that require vascular screening. The TBI values obtained in this study may have been falsely low due to normal day to day variation in blood pressure and temperature however this methodology has been utilised previously with good diagnostic efficacy . Lastly, a generic HRQoL was chosen for the present exploratory investigation, however, future studies may benefit from the inclusion of disease-specific and functional assessment tools.
The study provides the first evidence of a relationship between the TBI and HRQoL. In an older population lower TBI values were associated with role limitations due to physical health, with impaired social function. The results presented here indicate the TBI may be useful beyond its role as a non-invasive assessment of peripheral arterial health. In addition it may indicate impaired aspects of HRQoL that are not reflected by signs and symptoms of PAD. Future investigations to determine the association between the TBI and HRQoL using PAD-specific HRQoL tools are now warranted. Additional information is required to determine whether the TBI can be used clinically to identify patients at risk of impaired HRQoL.
We thank all the participating investigators for their assistance with data collection for this study.
The authors wish to acknowledge the financial support of an Establishment grant from the Clive and Vera Ramacotti Foundation. The funding sources had no involvement in this study. We also wish to acknowledge the assistance of all participating investigators.
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- Hirsch AT, Haskal ZJ, Hertzer NR, Bakal CW, Creager MA, Halperin JL, et al. ACC/AHA 2005 Practice guidelines for the management of patients with peripheral arterial disease (lower extremity, renal, mesenteric, and abdominal aortic): A collaborative report from the American association for Vascular Surgery/Society for Vascular Surgery, Society for Cardiovascular angiography and interventions, society for Vascular Medicine and Biology, Society for Interventional Radiology, and the ACC/AHA Task Force on Practice Guidelines (Writing Committee to Develop Guidelines for the Management of Patients with Peripheral Arterial Disease): endorsed by the American Association of Cardiovascular and Pulmonary Rehabilitation; National Heart, Lung, and Blood Institute; Society for Vascular Nursing; TransAtlantic Inter-Society Consensus; and Vascular Disease Foundation. J Am Coll Cardiol. 2006;113:e463–654.Google Scholar
- McDermott MM, Liu K, Greenland P, Guralnik JM, Criqui MH, Chan C, et al. Functional decline in peripheral arterial disease associations with the ankle brachial index and leg symptoms. J Am Med Assoc. 2004;292:453–61.View ArticleGoogle Scholar
- McDermott MM, Greenland P, Liu K. Leg symptoms in peripheral arterial disease: associated clinical characteristics and functional impairment. J Am Med Assoc. 2001;286(13):1599–606.View ArticleGoogle Scholar
- Regensteiner JG, Hiatt WR, Coll JR, Criqui MH, Treat-Jacobson D, McDermott MM, et al. The impact of peripheral arterial disease on the health-related quality of life in the peripheral arterial disease awareness, risk and treatment: new resources for survival (PARTNERS) program. Vasc Med. 2008;13:15–24.View ArticlePubMedGoogle Scholar
- Wann-Hansson C, Hallberg IR, Klevsgard R, Andersson E. Patients’ experiences of living with peripheral arterial disease awaiting intervention: a qualitative study. Int J Nurs Stud. 2005;42:851–62.View ArticlePubMedGoogle Scholar
- Treat-Jacobson D, Halverson SL, Ratchford A, Regensteiner JG, Lindquist R, Hirsch AT. A patient-derived perspective of health-related quality of life with peripheral arterial disease. J Nurs Scholarsh. 2002;34:55–60.View ArticlePubMedGoogle Scholar
- McDermott MM. Functional impairment in peripheral artery disease and how to improve it in 2013. Curr Cardiol Rep. 2013;15:347.View ArticlePubMedPubMed CentralGoogle Scholar
- Papamichael CM, Lekakis JP, Stamatelopoulos KS, Papaioannou TG, Alevizaki MK, Cimponeriu AT, et al. Ankle-brachial index as a predictor of the extent of coronary atherosclerosis and cardiovascular events in patients with coronary artery disease. Am J Cardiol. 2000;86:615–8.View ArticlePubMedGoogle Scholar
- Collaboration ABI. Ankle brachial index combined with Framingham risk score to predict cardiovascular events and mortality: a meta-analysis. J Am Med Assoc. 2008;300:197–208.View ArticleGoogle Scholar
- McDermott MM, Greenland P, Liu K, Guralnik JM, Celic L, Criqui MH, et al. The ankle brachial index is associated with leg function and physical activity: the walking and leg circulation study. Ann Intern Med. 2002;136:873–83.View ArticlePubMedGoogle Scholar
- McDermott MM, Mehta S, Liu K, Guralnik JM, Martin GJ, Criqui MH, et al. Leg symptoms, the ankle-brachial index, and walking ability in patients with peripheral arterial disease. J Gen Intern Med. 1999;14:173–81.View ArticlePubMedPubMed CentralGoogle Scholar
- Long J, Modrall JG, Parker BJ, Swann A, Welborn III MB, Anothony T. Correlation between ankle-brachial index, symptoms and health-related quality of life in patients with peripheral vascular disease. J Vasc Surg. 2004;39:723–7.View ArticlePubMedGoogle Scholar
- Aerden D, Massaad D, von Kemp K, van Tussenbroek F, Debing E, Keymeulen B, et al. The ankle-brachial index and the diabetic foot: a troublesome marriage. Ann Vasc Surg. 2011;25:770–7.View ArticlePubMedGoogle Scholar
- Young MJ, Adams JE, Anderson GF, Boulton AJM, Cavanagh PR. Medial arterial calcification in the feet of diabetic patients and matched non-diabetic control subjects. Diabetol. 1993;36:615–21.View ArticleGoogle Scholar
- Tehan PE, Bray A, Chuter VH. Non-invasive assessment in the foot with diabetes: sensitivity and specificity of the ankle brachial index, toe brachial index and continuous wave Doppler for detecting peripheral arterial disease. J Diabetes Complications. 2016;30:155–60.View ArticlePubMedGoogle Scholar
- Rooke MT, Hirsch AT, Misra S, Sidawy AN, Beckman JA, Findeiss LK, et al. ACCF/AHA Focused update of the guideline for the management of patients with peripheral artery disease (Updating the 2005 Guideline) A report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2011;58:2020–45.View ArticlePubMedGoogle Scholar
- Hoyer C, Sandermann J, Petersen LJ. The toe-brachial index in the diagnosis of peripheral arterial disease. J Vasc Surg. 2013;58:231–8.View ArticlePubMedGoogle Scholar
- Brooks B, Dean R, Patel S, Wu B, Molyneaux L, Yue DK. TBI or not TBI: that is the question. Is it better to measure toe pressure than ankle pressure in diabetic patients? Diab Med. 2001;18:528–32.View ArticleGoogle Scholar
- Sonter J, Ho A, Chuter V. The predictive capacity of toe blood pressure and the toe brachial index for foot wound healing and amputation: A systematic review and meta-analysis. Wound Pract Res. 2014;22:208–20.Google Scholar
- Hawthorne G, Osborne RH, Taylor A, Sansoni J. The SF56 version 2: critical analyses of population weights, scoring algorithms and population norms. Qual Life Res. 2007;16:661–73.View ArticlePubMedGoogle Scholar
- Sadler S, Hawke F, Sonter J, Chuter V. Toe brachial blood pressure measurement after 5, 10, and 15 minutes of pre-test rest. J Foot Ankle Res. 2013;6 Suppl 1:033.View ArticleGoogle Scholar
- Sonter J, Sadler S, Chuter V. Inter-rater reliability of automated devices for measurement of toe systolic blood pressure and the toe-brachial index. Blood Press Monit. 2015;20:47–51.View ArticlePubMedGoogle Scholar
- Walters SJ, Campbell MJ, Lall R. Design and analysis of trials with quality of life as an outcome: a practical guide. J Biopharm Stat. 2001;11:155–76.View ArticlePubMedGoogle Scholar
- Cohen J. Statistical power analysis for the behavioural sciences. 2nd ed. New Jersey: Lawrence Erlbaum; 1998.Google Scholar
- Ware JE, Sherbourne CD. The MOS 36-Item Short-Form Health Survey (SF-36): I. conceptual framework and item selection. Med Care. 1992;30:473–83.View ArticlePubMedGoogle Scholar
- Khaira HS, Hanger R, Shearman CP. Quality of life in patients with intermittent claudication. Eur J Vasc Endovasc Surg. 1996;11:65–9.View ArticlePubMedGoogle Scholar
- Newman AB, Shemanski L, Manolio TA, Cushman M, Mittelmark M, Polak JF, et al. Ankle-arm index as a predictor of cardiovascular disease and mortality in the Cardiovascular Health Study. Arterioscler Thromb Vasc Biol. 1999;19:538–45.View ArticlePubMedGoogle Scholar
- Hirsch AT, Criqui MH, Treat-Jacobson D, Regensteiner JG, Creager MA, Olin JW, et al. Peripheral arterial disease detection, awareness, and treatment in primary care. J Am Med Assoc. 2001;286:1317–24.View ArticleGoogle Scholar
- 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.PubMedGoogle Scholar
- McDermott MM, Mehta S, Greenland P. Exertional leg symptoms other than intermittent claudication are common in peripheral arterial disease. Arch Intern Med. 1999;159:387–92.View ArticlePubMedGoogle Scholar
- Nehler MR, McDermott MM, Treat-Jacobson D, Chetter I, Regensteiner JG. Functional outcomes and quality of life in peripheral arterial disease: current status. Vasc Med. 2003;8:115–26.View ArticlePubMedGoogle Scholar
- Ware J, Kosinski M, Bjorner JB, Turner-Bowker DM, Maruish ME. User’s Manual for the SF-36v2 Health Survey. Lincoln: Quality Metric Inc; 2007.Google Scholar
- Tehan P, Bray A, Keech R, Rounsley R, Carruthers A, Chuter V. Sensitivity and specificity of the toe-brachial index for detecting peripheral arterial disease. Initial findings. J Ultrasound Med. 2015;34:1737–43.View ArticlePubMedGoogle Scholar