Skip to main content

Association between interleg systolic blood pressure difference and apparent peripheral neuropathy in US adults with diabetes: a cross-sectional study

Abstract

Background

Interleg systolic blood pressure difference (ILSBPD) is associated with peripheral artery disease, but the relationship between ILSBPD and apparent peripheral neuropathy in diabetic patients remains unclear. We explored the relationship between ILSBPD and apparent peripheral neuropathy and examined the possible effect modifiers in US adults with diabetes.

Methods

One thousand and fifty-one diabetic participants were included in the study with complete data on systolic blood pressure of the lower extremities and Semmes–Weinstein 10-g monofilament testing from the 1999–2004 National Health and Nutritional Examination Surveys. Systolic blood pressure in the lower extremities was measured using an oscillometric blood pressure device with the patient in the supine position. Apparent peripheral neuropathy was defined as the presence of monofilament insensitivity.

Results

Every 5-mmHg increment in ILSBPD is associated with an about 14% increased risk of apparent peripheral neuropathy in crude model, but after adjustment for covariates, the correlation became nonsignificant (P = 0.160). When participants were divided into groups based on ILSBPD cutoffs of 5, 10 and 15 mmHg in different analyses, there was a significantly increased risk of apparent peripheral neuropathy in the ILSBPD ≥ 15 mmHg group (OR 1.79, 95% CI 1.11–2.91, P = 0.018), even after adjusting for confounders. In subgroup analysis, no interaction effect was found (all P for interaction > 0.05).

Conclusions

In US adults with diabetes, an increase in the ILSBPD (≥ 15 mmHg) was associated with a higher risk of apparent peripheral neuropathy.

Background

Peripheral neuropathy covers a variety of clinicopathologies that may be associated with dysfunction of the peripheral nervous system [1]. Diabetes mellitus is the most common cause of peripheral neuropathy in Western societies, with a prevalence of up to 30–66% of diabetic patients [2]. In addition to the production of advanced glycation endproducts, reactive oxygen species and inflammatory factors caused by chronic hyperglycemia, structural microvasculature damage is an important cause of nerve dysfunction, as neuropathy is essentially a microvascular disorder [3,4,5,6,7,8]. Participants with peripheral neuropathy often experience progressive neuropathic pain and decreased sensation, which lead to skin breakdown, infection, ulceration and eventually non-traumatic amputations, with associated depressive symptoms and poor quality of life [9,10,11,12]. Due to the insidious onset of peripheral neuropathy and heterogeneous clinical manifestations, the prevalence of peripheral neuropathy in diabetic participants is severely underestimated. The Semmes–Weinstein monofilament test is an inexpensive, noninvasive and easy-to-administer test used for screening apparent peripheral neuropathy. It is a rapid test with high specificity but lower sensitivity [13]. Due to its low cost and ease of application, it is widely used in both clinical and self-assessment settings.

Interleg systolic blood pressure difference (ILSBPD) refers to the absolute systolic blood pressure (SBP) difference between bilateral lower extremities. The underlying mechanism of a moderate to severe ILSBPD is that the arterial stenosis induced by plaque, aneurysm, or arteritis is not symmetrically distributed between the limbs [14, 15]. As the lower extremities are more prone to peripheral artery disease (PAD) than the upper extremities, ILSBPD is probably a better predictor of PAD than the interarm SBP difference [16, 17]. In addition, accumulating data indicate that ILSBPD is associated with diabetic nephropathy [18], cardiovascular risk factors [19, 20], left ventricular mass index [21], prevalent stroke [22], and cardiovascular and overall mortality [23, 24], which further highlights its clinical importance.

Previous studies have established a correlation between peripheral neuropathy and PAD evaluated by the ankle-brachial index (ABI) and toe-brachial index (TBI) [25, 26], and between peripheral neuropathy and clinical macroangiopathy or a history of intermittent claudication [27]. However, these small-scale studies have not thoroughly examined any possible effect modifiers, and to our knowledge, no study has evaluated the relationship between ILSBPD and apparent peripheral neuropathy.

The current study aimed to investigate the relationship between ILSBPD and apparent peripheral neuropathy, and to examine the possible effect modifiers in US adult diabetic participants using data from the 1999–2004 National Health and Nutritional Examination Surveys (NHANES).

Methods

Study population

All participants were from the NHANES. The NHANES is a large-scale, multicenter, cross-sectional, ongoing survey of a non-institutionalized US population conducted by the National Center for Health Statistics; the detailed methodology is described on the official website [28]. Briefly, individuals aged 60 years and older, African-Americans and Hispanics were over-sampled to produce more reliable statistics. The three main components of the study included an interview in each participant’s home, a physical examination, and several medical and laboratory tests. Comorbidities were self-reported. The National Center for Health Statistics Ethics Review Board approved the protocols, and informed consent was obtained from all subjects.

We performed a secondary analysis of data from three 2-year NHANES cycles: 1999–2000, 2001–2002 and 2003–2004; the total number of participants was 31 126. The exclusion criteria of the current study were: (1) lack of complete data on blood pressure of the lower extremities (n = 24 272); (2) lack of monofilament test data (n = 256); and (3) non-diabetic participants who had no history of diabetes, a fasting glucose of < 7 mmol/L and a glycosylated hemoglobin (HbA1c) of ≤ 6.5% (n = 5547). A final total of 1051 diabetic participants were included in the analysis (Fig. 1).

Fig. 1
figure 1

Flowchart of the study

Variables

Dependent variable

The outcome of the analysis was the prevalence of apparent peripheral neuropathy, which was assessed by the Semmes–Weinstein monofilament test. The examiner used a standard monofilament to apply 10 g of force to three different sites on the bottom of each foot. Participants were asked to respond when they felt the pressure. A sensate site was defined as a site at which the first response was correct or at which two of three tests were correct. An insensate site was defined as a site at which at least two of three tests were incorrect or the patient was ‘unable to determine’ the pressure. Apparent peripheral neuropathy was defined as the presence of one or more insensate sites on either foot [29,30,31].

Independent variable

The independent variable of the study was the ILSBPD. With the patient in the supine position, blood pressure was measured using a vascular testing device (Parks Mini-Lab IV, Model 3100; Aloha, OR) in the right arm and both ankles. Blood pressure was measured twice in subjects aged 40–59 years, but only once in subjects aged 60 years and older [32]. ILSBPD refers to the absolute value of the SBP difference between the lower extremities.

Covariates

Continuous variables consisted of age (years), duration of diabetes (years), brachial SBP (mmHg), total cholesterol (TCHO, mmol/L), low-density lipoprotein-cholesterol (LDL-c, mmol/L), high-density lipoprotein-cholesterol (HDL-c, mmol/L) and HbA1c (%).

Categorical variables included gender (male, female), race/ethnicity (Hispanic, non-Hispanic white, non-Hispanic black and other race), peripheral artery disease status (yes, no), history of hypertension (yes, no) and history of hypercholesterolemia (yes, no).

Demographic data including age, gender, race, history of hypertension and history of hypercholesterolemia were self-reported by the participants. Blood samples were collected and stored under appropriate temperature conditions until they were shipped to Johns Hopkins University Lipoprotein Laboratory for testing.

Statistical analysis

Analyses were performed using EmpowerStats (http://www.empowerstats.com) and the statistical package R (3.2.3 version). The characteristics of the subjects were stratified by ILSBPD. Continuous variables with normal distribution were expressed as means with standard deviations (SD), and the Student’s t-test was used to assess the difference between two groups. Categorical variables were presented as numbers and percentages, and the Chi-square test was used to assess the difference between groups. An adjusted smoothing spline plot of ILSBPD and apparent peripheral neuropathy was analyzed using a multivariate logistic regression model. In three separate analyses, participants with ILSBPD were then divided into two groups based on cutoff values of 5 mmHg, 10 mmHg and 15 mmHg. A multivariable logistic regression model was used to analyze the relationship between each ILSBPD group and apparent peripheral neuropathy. Possible modifications of the association between ILSBPD and apparent peripheral neuropathy were further investigated by stratified analyses. Interactions were examined by including interaction terms in the regression models. A two-sided P value of < 0.05 was considered significant.

Results

Characteristics of the study participants

The study comprised 1051 diabetic participants. The mean (SD) age was 62.5 (11.2) years, and 55.9% were male. The demographics and clinical characteristics of the study participants stratified by ILSBPD are listed in Table 1. The mean (SD) age of the ILSBPD < 10 mmHg and ILSBPD ≥ 10 mmHg groups was 61.3 (11.1) years and 65.1 (10.8) years, respectively. The ILSBPD ≥ 10 mmHg group comprised 336 (32.0%) participants; compared with the other ILSBPD group, the ILSBPD ≥ 10 mmHg group was significantly older, had a higher prevalence of apparent peripheral neuropathy and had a higher brachial SBP. There were no significant differences between the three ILSBPD groups regarding sex composition, race composition, prevalence of comorbidities (including history of hypertension and hypercholesterolemia), body mass index, TCHO, LDL-c, HDL-c, fasting glucose level and HbA1c level.

Table 1 Characteristics of study participants

Association between ILSBPD and apparent peripheral neuropathy

The smoothing spline plot in Fig. 2 indicates a positive relationship between ILSBPD and the risk of apparent peripheral neuropathy. Table 2 shows that continuous ILSBPD was positively correlated with the prevalence of apparent peripheral neuropathy in crude model and adjusted model I (age, race and gender for adjustment). However, after adjusting for all confounding factors in adjusted model II, including age, gender, race, brachial SBP, history of hypertension, history of hypercholesterolemia, peripheral artery disease status, duration of diabetes, HbA1c, TCHO and HDL-c levels, the correlation became not significant (P = 0.160). When participants were divided into three groups based on ILSBPD cutoff values of 5 mmHg, 10 mmHg and 15 mmHg, with the lower category as the reference, the ORs significantly increased as the cutoff value increased in a crude model (OR 1.41, 95% CI 1.05–1.91 in the ILSBPD ≥ 5 mmHg group; OR 1.69, 95% CI 1.26–2.28 in the ILSBPD ≥ 10 mmHg group; OR 2.26, 95% CI 1.62–3.15 in the ILSBPD ≥ 15 mmHg group). Adjusted model I was adjusted, and the risk of apparent peripheral neuropathy was significantly increased in the ILSBPD ≥ 10 mmHg group (OR 1.51, 95% CI 1.11–2.06) and ILSBPD ≥ 15 mmHg group (OR 2.07, 95% CI 1.47–2.93). Adjusted model II was adjusted for all covariables; the results in ILSBPD ≥ 15 mmHg group were similar to those in adjusted model I (OR 1.79, 95% CI 1.11–2.91). However, ILSBPD ≥ 10 mmHg was not significantly associated with apparent peripheral neuropathy in adjusted model II (OR 1.43, 95% CI 0.94–2.16).

Fig. 2
figure 2

Association between interleg systolic blood pressure difference (ILSBPD) and the risk of apparent peripheral neuropathy. *Adjusted for age, gender, race, brachial systolic blood pressure (SBP), glycosylated hemoglobin (HbA1c), total cholesterol (TCHO), high-density lipoprotein-cholesterol (HDL-c), peripheral artery disease status, duration of diabetes, history of hypertension and hypercholesterolemia

Table 2 Multiple analysis of ILSBPD and peripheral neuropathy

Assessment of interaction

The previous analysis revealed that an ILSBPD of ≥ 15 mmHg was an independent risk factor for apparent peripheral neuropathy. In order to investigate whether there was any interaction between these two factors, we conducted further subgroup analysis. Figure 3 demonstrates that no significant modification effect was observed in any of the subgroups (all P for interaction > 0.05), which supports the robust correlation between an ILSBPD of ≥ 15 mmHg and apparent peripheral neuropathy.

Fig. 3
figure 3

Forrest plots of the association between ILSBPD ≥ 15 mmHg and apparent peripheral neuropathy in various subgroups. Adjusted, if not stratified, for age, gender, race, brachial systolic blood pressure (SBP), glycosylated hemoglobin (HbA1c), total cholesterol (TCHO), high-density lipoprotein-cholesterol (HDL-c), peripheral artery disease status, duration of diabetes, history of hypertension and hypercholesterolemia. ILSBPD stands for interleg systolic blood pressure difference

Discussion

In this population-based, cross-sectional study, we investigated the association between ILSBPD and apparent peripheral neuropathy in US adults with diabetes. To our knowledge, this is the first study to reveal a positive association between an increased ILSBPD and risk of apparent peripheral neuropathy. Furthermore, the subgroup analysis indicated that there was no interaction between the correlation of the two variables.

Previous studies have investigated the association between PAD and peripheral neuropathy in diabetic participants. A cross-sectional study of 775 participants showed that an abnormal ABI (< 0.8) is associated with a 44% increased risk of neuropathy [26]. A Swedish study of 156 diabetic participants revealed that peripheral sensory neuropathy is an independent risk factor for PAD defined as clinical macroangiopathy (no pulses) or a history of intermittent claudication [27]. Another small-scale study discovered that an ABI < 0.9 has a specificity of 90.7% for detecting neuropathy [33]. In addition, TBI is also significantly associated with peripheral neuropathy [25].

Previous studies have confirmed the bidirectional association between PAD and peripheral neuropathy. However, the sample size in these studies has been small and PAD has been assessed on the basis of the ABI, TBI, or clinical characteristics. Our study adopted the ILSBPD, a relatively new variable and added new evidence for the association between PAD and peripheral neuropathy. Furthermore, the comparatively larger sample size in the present study might have provided more power to disclose the associations and enable the exploration of effect modifiers.

The main finding of our study was the positive association between ILSBPD and apparent peripheral neuropathy in adults with diabetes. Although the correlation was not dose-dependent, having an ILSBPD of ≥ 15 mmHg was found to be independently associated with apparent peripheral neuropathy.

In contrast to the interarm SBP difference, for which guidelines have proposed a normal value of < 15 mmHg [34, 35], there is no consensus on the threshold value for ILSBPD. Some studies have proposed that an ILSBPD of ≥ 15 mmHg may be the cutoff point for PAD diagnosis, mortality prediction and the detection of albuminuria and abnormal cardiovascular functional variables [18, 19, 24, 36, 37]. However, an ILSBPD of ≥ 10 mmHg also shows acceptable accuracy and high specificity for PAD diagnosis [38, 39]. Based on our findings, it appears that an ILSBPD ≥ 15 mmHg could be considered as a suitable threshold for detecting apparent peripheral neuropathy, given that an ILSBPD of ≥ 15 mmHg was identified as an independent risk factor for the condition, as opposed to lower cutoff values such as ILSBPD of ≥ 5 mmHg or ILSBPD of ≥ 10 mmHg. One possible reason for the inconsistency among studies of ILSBPD threshold values is the variations in clinical characteristics and cardiovascular conditions among study populations, such as the inclusion of a community-based population and/or participants with diabetes or hemodialysis [22]. Determining the cutoff point for detecting peripheral neuropathy by ILSBPD has significant clinical value. Patients can obtain the data of ILSBPD during the blood pressure measurement. If this value is greater than or equal to 15 mmHg, the patient's risk of developing peripheral neuropathy is significantly increased, and they need further medical evaluation to assess whether peripheral neuropathy is present.

Although ILSBPD and ABI or TBI do not have the same clinical significance, the mechanisms of the association between ILSBPD and peripheral neuropathy might be similar to that between ABI or TBI and peripheral neuropathy, as there was an overlap between individuals with increased ILSBPD and those with an abnormal ABI or TBI. From a pathophysiological point of view, an increased ILSBPD represents low blood flow in at least one lower extremity. Evidence from human and animal studies has shown that reduced nerve blood flow and increased endoneurial vascular resistance can lead to endoneurial hypoxia, which damages the cell bodies in dorsal root ganglia and axons in nerves, causing peripheral neuropathy [40, 41].

The current study has several limitations. First, it was a cross-sectional study without follow-up data; therefore, the causal relationship between ILSBPD and apparent peripheral neuropathy cannot be clarified. Second, the presence of apparent peripheral neuropathy was evaluated by the Semmes–Weinstein 10-g monofilament test, which is commonly used as a screening tool for apparent peripheral neuropathy but is likely to be interfered with by subjective factors, such as patient inattention and thickening of the skin. Additionally, as demographic data were self-reported by participants, there may be potential memory bias. Third, the NHANES excluded subjects deemed unsuitable for the examination of lower-extremity disease, such as participants with bilateral amputations, lesions and severe obesity, who are indeed at high risk of lower-extremity disease. Therefore, the actual prevalence of lower-extremity disease is underestimated, which might have influenced our conclusion.

Conclusions

In a population of US adults with diabetes, an increase in ILSBPD (≥ 15 mmHg) was associated with higher risk of apparent peripheral neuropathy.

Availability of data and materials

The datasets analyzed in the current study are available in the National Health and Nutritional Examination Surveys repository, https://wwwn.cdc.gov/nchs/nhanes/Default.aspx.

Abbreviations

ILSBPD:

Interleg systolic blood pressure difference

PAD:

Peripheral artery disease

OR:

Odds ratio

CI:

Confidence interval

SBP:

Systolic blood pressure

ABI:

Ankle-brachial index

TBI:

Toe-brachial index

NHANES:

National Health and Nutritional Examination Surveys

HbA1c:

Glycosylated hemoglobin

SD:

Standard deviations

References

  1. Wang Y, Li W, Peng W, Zhou J, Liu Z. Acupuncture for postherpetic neuralgia: systematic review and meta-analysis. Medicine. 2018;97(34):e11986.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Watson JC, Dyck PJ. Peripheral neuropathy: a practical approach to diagnosis and symptom management. Mayo Clin Proc. 2015;90(7):940–51.

    Article  PubMed  Google Scholar 

  3. Singh R, Kishore L, Kaur N. Diabetic peripheral neuropathy: current perspective and future directions. Pharmacol Res. 2014;80:21–35.

    Article  CAS  PubMed  Google Scholar 

  4. Jack M, Wright D. Role of advanced glycation endproducts and glyoxalase I in diabetic peripheral sensory neuropathy. Transl Res. 2012;159(5):355–65.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Oates PJ. Polyol pathway and diabetic peripheral neuropathy. Int Rev Neurobiol. 2002;50:325–92.

    Article  CAS  PubMed  Google Scholar 

  6. Low PA, Lagerlund TD, McManis PG. Nerve blood flow and oxygen delivery in normal, diabetic, and ischemic neuropathy. Int Rev Neurobiol. 1989;31:355–438.

    Article  CAS  PubMed  Google Scholar 

  7. Xia P, Kramer RM, King GL. Identification of the mechanism for the inhibition of Na+, K(+)-adenosine triphosphatase by hyperglycemia involving activation of protein kinase C and cytosolic phospholipase A2. J Clin Invest. 1995;96(2):733–40.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Gordon Smith A, Robinson Singleton J. Idiopathic neuropathy, prediabetes and the metabolic syndrome. J Neurol Sci. 2006;242(1–2):9–14.

    Article  CAS  PubMed  Google Scholar 

  9. Oh J. Clinical spectrum and diagnosis of diabetic neuropathies. Korean J Intern Med. 2020;35(5):1059–69.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Sumpio BE. Foot ulcers. N Engl J Med. 2000;343(11):787–93.

    Article  CAS  PubMed  Google Scholar 

  11. Davies M, Brophy S, Williams R, Taylor A. The prevalence, severity, and impact of painful diabetic peripheral neuropathy in type 2 diabetes. Diabetes Care. 2006;29(7):1518–22.

    Article  PubMed  Google Scholar 

  12. Bodman MA, Varacallo M. Peripheral diabetic neuropathy. Treasure Island: StatPearls; 2020.

    Google Scholar 

  13. Feng Y, Schlosser FJ, Sumpio BE. The Semmes Weinstein monofilament examination as a screening tool for diabetic peripheral neuropathy. J Vasc Surg. 2009;50(3):675–82.

    Article  PubMed  Google Scholar 

  14. Müller-Bühl U. K.H. Bilaterality and symmetry of peripheral arterial occlusive disease. Perfusion. 2003;16:100–4.

    Google Scholar 

  15. Singh S, Sethi A, Singh M, Khosla S. Prevalence of simultaneously measured interarm systolic blood pressure difference and its clinical and demographic predictors: a systemic review and meta-analysis. Blood Press Monit. 2015;20(4):178–85.

    Article  PubMed  Google Scholar 

  16. Shadman R, Criqui M, Bundens W, Fronek A, Denenberg J, Gamst A, et al. Subclavian artery stenosis: prevalence, risk factors, and association with cardiovascular diseases. J Am Coll Cardiol. 2004;44(3):618–23.

    Article  PubMed  Google Scholar 

  17. Herráiz-Adillo Á, Soriano-Cano A, Martínez-Hortelano JA, Garrido-Miguel M, Mariana-Herráiz J, Martínez-Vizcaíno V, et al. Simultaneous inter-arm and inter-leg systolic blood pressure differences to diagnose peripheral artery disease: a diagnostic accuracy study. Blood Press. 2018;27(2):121–2.

    Article  PubMed  Google Scholar 

  18. Okada H, Fukui M, Tanaka M, Matsumoto S, Mineoka Y, Nakanishi N, et al. A difference in systolic blood pressure between arms and between lower limbs is a novel risk marker for diabetic nephropathy in patients with type 2 diabetes. Hypertens Res. 2013;36(5):403–7.

    Article  PubMed  Google Scholar 

  19. Song X, Li G, Qiao A, Chen Z. Association of simultaneously measured four-limb blood pressures with cardiovascular function: a cross-sectional study. Biomed Eng Online. 2016;15(Suppl 2):147.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Yu S, Lu Y, Xiong J, Bai B, Teliewubai J, Chi C, et al. The association of four-limb blood pressure differences with cardiovascular risk factors and target organ changes in elderly Chinese: the Northern Shanghai Study. Clin Exp Hypertens. 2020;42(3):275–80.

    Article  CAS  PubMed  Google Scholar 

  21. Su HM, Lin TH, Hsu PC, Lee WH, Chu CY, Chen SC, et al. Association of interankle systolic blood pressure difference with peripheral vascular disease and left ventricular mass index. Am J Hypertens. 2014;27(1):32–7.

    Article  PubMed  Google Scholar 

  22. Guo H, Sun F, Zhang H, Dong L, Gu X, Tian Y. Interankle systolic blood pressure difference is a marker of prevalent stroke in Chinese adults: a cross-sectional study. J Clin Hypertens. 2017;19(1):58–66.

    Article  Google Scholar 

  23. Sheng CS, Liu M, Zeng WF, Huang QF, Li Y, Wang JG. Four-limb blood pressure as predictors of mortality in elderly Chinese. Hypertension. 2013;61(6):1155–60.

    Article  CAS  PubMed  Google Scholar 

  24. Chen SC, Chang JM, Tsai YC, Tsai JC, Su HM, Hwang SJ, et al. Association of interleg BP difference with overall and cardiovascular mortality in hemodialysis. Clin J Am Soc Nephrol. 2012;7(10):1646–53.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Sheen YJ, Li TC, Lin JL, Tsai WC, Kao CD, Bau CT, et al. Association between thermal threshold abnormalities and peripheral artery disease in patients with type 2 diabetes. Medicine. 2018;97(51):e13803.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Adler AI, Boyko EJ, Ahroni JH, Stensel V, Forsberg RC, Smith DG. Risk factors for diabetic peripheral sensory neuropathy. Results of the seattle prospective diabetic foot study. Diabetes Care. 1997;20(7):1162–7.

    Article  CAS  PubMed  Google Scholar 

  27. Kärvestedt L, Mårtensson E, Grill V, Elofsson S, von Wendt G, Hamsten A, et al. Peripheral sensory neuropathy associates with micro- or macroangiopathy: results from a population-based study of type 2 diabetic patients in Sweden. Diabetes Care. 2009;32(2):317–22.

    Article  PubMed  PubMed Central  Google Scholar 

  28. National Center for Health Statistics. National Health and Nutrition Examination Survey: Analysis and Reporting Guideline. Available from: https://www.cdc.gov/nchs/data/nhanes/nhanes_03_04/nhanes_analytic_guidelines_dec_2005.pdf.

  29. McGill M, Molyneaux L, Spencer R, Heng LF, Yue DK. Possible sources of discrepancies in the use of the Semmes-Weinstein monofilament. Impact on prevalence of insensate foot and workload requirements. Diabetes Care. 1999;22(4):598–602.

    Article  CAS  PubMed  Google Scholar 

  30. Mayfield JA, Sugarman JR. The use of the Semmes-Weinstein monofilament and other threshold tests for preventing foot ulceration and amputation in persons with diabetes. J Fam Pract. 2000;49(11 Suppl):S17-29.

    CAS  PubMed  Google Scholar 

  31. Gregg EW, Sorlie P, Paulose-Ram R, Gu Q, Eberhardt MS, Wolz M, et al. Prevalence of lower-extremity disease in the US adult population >=40 years of age with and without diabetes: 1999–2000 national health and nutrition examination survey. Diabetes Care. 2004;27(7):1591–7.

    Article  PubMed  Google Scholar 

  32. National Center for Health Statistics. National health and nutrition examination survey: lower extremity disease - peripheral neuropathy (LEXPN). Available from: https://wwwn.cdc.gov/Nchs/Nhanes/1999-2000/LEXPN.htm.

  33. Papanas N, Symeonidis G, Mavridis G, Georgiadis G, Papas T, Lazarides M, et al. Ankle-brachial index: a surrogate marker of microvascular complications in type 2 diabetes mellitus? Int Angiol J Int Union Angiol. 2007;26(3):253–7.

    CAS  Google Scholar 

  34. National Guideline C. National Institute for Health and Care Excellence: Clinical Guidelines. In: Hypertension in adults: diagnosis and management. 2019, National Institute for Health and Care Excellence (UK) Copyright © NICE 2019: London.

  35. Williams B, Mancia G, Spiering W, Agabiti Rosei E, Azizi M, Burnier M, et al. 2018 ESC/ESH Guidelines for the management of arterial hypertension. Eur Heart J. 2018;39(33):3021–104.

    Article  PubMed  Google Scholar 

  36. Liu S, Li P, Su H. Four-limb blood pressure measurement with an oscillometric device: a tool for diagnosing peripheral vascular disease. Curr Hypertens Rep. 2019;21(2):15.

    Article  PubMed  Google Scholar 

  37. Gong Y, Cao KW, Xu JS, Li JX, Hong K, Cheng XS, et al. Valuation of normal range of ankle systolic blood pressure in subjects with normal arm systolic blood pressure. PLoS ONE. 2015;10(6):e0122248.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Herráiz-Adillo Á, Soriano-Cano A, Martínez-Hortelano JA, Garrido-Miguel M, Mariana-Herráiz J, Martínez-Vizcaíno V, et al. Simultaneous inter-arm and inter-leg systolic blood pressure differences to diagnose peripheral artery disease: a diagnostic accuracy study. Blood Press. 2018;27(2):112–9.

    Article  PubMed  Google Scholar 

  39. Singh S, Sethi A, Singh M, Khosla K, Grewal N, Khosla S. Simultaneously measured inter-arm and inter-leg systolic blood pressure differences and cardiovascular risk stratification: a systemic review and meta-analysis. J Am Soc Hypertens. 2015;9(8):640–50.

    Article  PubMed  Google Scholar 

  40. Nukada H. Ischemia and diabetic neuropathy. Handb Clin Neurol. 2014;126:469–87.

    Article  PubMed  Google Scholar 

  41. Ylitalo K, Sowers M, Heeringa S. Peripheral vascular disease and peripheral neuropathy in individuals with cardiometabolic clustering and obesity: National Health and Nutrition Examination Survey 2001–2004. Diabetes Care. 2011;34(7):1642–7.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank Kelly Zammit, BVSc, from Liwen Bianji, Edanz Editing China (www.liwenbianji.cn/ac), for editing the English text of a draft of this manuscript.

Funding

Not applicable.

Author information

Authors and Affiliations

Authors

Contributions

The authors’ responsibilities were as follows: ZL, HW, XL and SL designed the study; JL provided mentoring and guidance throughout the project. ZL acquired the data with help from HW; XL, ZL, HW, XL and SL analyzed the data; XL, ZL and XL wrote and rechecked the manuscript; XL and ZL checked and re-analyzed the data, revised the manuscript and polished the language; and all authors read and approved the final manuscript.

Corresponding author

Correspondence to Jianping Li.

Ethics declarations

Ethics approval and consent to participate

The National Center for Health Statistics Ethics Review Board approved the study, and informed consent was obtained from all subjects.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lin, X., Liu, Z., Weng, H. et al. Association between interleg systolic blood pressure difference and apparent peripheral neuropathy in US adults with diabetes: a cross-sectional study. J Health Popul Nutr 42, 131 (2023). https://doi.org/10.1186/s41043-023-00475-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s41043-023-00475-2

Keywords