A cross-sectional study evaluating the Ankle-Brachial index in type 2 diabetic neuropathy patients in a tertiary care hospital

Authors

  • Prachi Department of Physiology, All India Institute of Medical Sciences, Kalyani, West Bengal – 741245, India
  • Arpita Chakraborty Department of Physiology, All India Institute of Medical Sciences, Kalyani, West Bengal – 741245, India https://orcid.org/0000-0002-8319-5477
  • Rubia Mondal Institute of Health Sciences, Presidency University, West Bengal - 700156 India
  • Alpa Nasrin Samuel Shaikh Department of Physiology, All India Institute of Medical Sciences, Kalyani, West Bengal – 741245, India
  • Subhadeep Ghoshal Department of Physiology, All India Institute of Medical Sciences, Kalyani, West Bengal – 741245, India
  • Boudhayan Das Munshi Department of General Medicine, All India Institute of Medical Sciences, Kalyani, West Bengal – 741245, India
  • Tandra Ghosh Department of Physiology, All India Institute of Medical Sciences, Kalyani, West Bengal – 741245, India

DOI:

https://doi.org/10.55184/ijpas.v78i01.590

Keywords:

Diabetes Mellitus, Age, Biochemical, HbA1c, Neuropathy

Abstract

Background: Diabetic peripheral neuropathy (DPN) is a prevalent and disabling consequence of Type 2 Diabetes Mellitus (T2DM) that frequently coexists with peripheral artery disease (PAD). We hypothesized that early diagnosis of subclinical vascular abnormalities using the Ankle-Brachial Index (ABI) may help identify individuals at increased risk of neuropathy. Aim: Our present study aimed to investigate the relationship between the Ankle-Brachial Index (ABI) and peripheral neuropathy, as assessed by vibration perception threshold, in Type 2 Diabetes Mellitus patients, and to explore the predictive utility of ABI for neuropathy among T2DM patients. Methods: A cross-sectional study was conducted on 240 patients with T2DM who visited the outpatient department. Participants were separated into two groups based on Vibration Perception Threshold (VPT) scores: Neuropathy (VPT > 15V) and no neuropathy (VPT < 15V). Anthropometric marker (Body Mass Index) and biochemical markers (FBS, PPBS, and HbA1c) were measured. The ABI was measured with a handheld Doppler equipment. Data were analyzed using the Mann-Whitney t-test, and results were reported as Median (Interquartile range), followed by Spearman correlation and binomial regression analyses.  Results: Patients with neuropathy exhibited significantly higher HbA1c p = 0.046), higher PPBS (p = 0.004), and significantly longer duration of diabetes (p < 0.001) as compared to the no neuropathy group. The neuropathy group showed significantly higher ABI (p = 0.036) as compared to patients with no neuropathy. Binomial logistic regression analysis found diabetes duration (p < 0.001) and ABI (p = 0.039) as significant independent predictors of neuropathy with an accuracy of 45%, sensitivity of 85%, specificity of 50%, and area under the curve (AUC) of 0.718. Conclusion: Neuropathy assessed by VPT in T2DM patients is significantly correlated with longer diabetes duration and vascular alterations revealed by ABI. Hence, regular screening with ABI and VPT can be used for identifying neuropathy and vascular problems at an early stage, facilitating the preventive treatment for diabetic neuropathy.

References

Cecerska-Heryć E, Engwert W, Michałów J, et al. Oxidative stress markers and inflammation in type 1 and 2 diabetes are affected by BMI, treatment type, and complications. Sci Rep. 2025;15(1):23605. DOI: 10.1038/s41598-025-05818-z.

Cerqueira MMBDF, Bastos NSSG, Silva DARD, Gregori D, Magalhães LBNC, Pimentel MMW. Accuracy of ankle-brachial index in screening for peripheral arterial disease in people with diabetes. PLoS One. 2024;19(10):e0309083. DOI: 10.1371/journal.pone.0309083.

Gerhard-Herman MD, Gornik HL, Barrett C, et al. 2016 AHA/ACC Guideline on the management of patients with lower extremity peripheral artery disease: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2017;135(12):e686-e725. DOI: 10.1161/CIR.0000000000000470.

Kim ES, Wattanakit K, Gornik HL. Using the ankle-brachial index to diagnose peripheral artery disease and assess cardiovascular risk. Cleve Clin J Med. 2012;79(9):651-61. DOI: 10.3949/ccjm.79a.11154.

Moshkele MH, Mirmoosavi S, Najafi MT, Karimpour S, Esteghamati A, Nakhjavani M, Rabizadeh S. Low ankle-brachial index is associated with albuminuria and Diabetic Kidney Disease in Type 2 Diabetes; A cross-sectional study. Endocrinol Diabetes Metab. 2025;8(6):e70115. DOI: 10.1002/edm2.70115.

Chevtchouk L, Silva MHSD, Nascimento OJMD. Ankle-brachial index and diabetic neuropathy: study of 225 patients. Arq Neuropsiquiatr. 2017;75(8):533-8. DOI: 10.1590/0004-282X20170084.

Ravidas VS, Samadarsi P, Ajayan G. Prospective observational study evaluating the predictive value of ankle brachial pressure index on the outcomes of diabetic foot ulcers. Int Surg J. 2020;7(7):2352-6. DOI: 10.18203/2349-2902.isj20202527

Zhang C, Tang M, Lu X, et al. Relationship of ankle-brachial index, vibration perception threshold, and current perception threshold to glycemic variability in type 2 diabetes. Medicine (Baltimore). 2020;99(12):e19374. DOI: 10.1097/MD.0000000000019374.

Jatooi NA, Alsulaiman ASA, Alromaih NJ, et al. Prevalence of diabetic peripheral neuropathy among type II diabetic patients in King Fahd University Hospital, Khobar, Kingdom of Saudi Arabia. Hosp Pract. 2021;49(2):63-70. DOI: 10.1080/21548331.2020.1853995

Bansal D, Gudala K, Muthyala H, Esam HP, Nayakallu R, Bhansali A. Prevalence and risk factors of development of peripheral diabetic neuropathy in type 2 diabetes mellitus in a tertiary care setting. J Diabetes Investig. 2014;5(6):714-21. DOI: 10.1111/jdi.12223.

Jasmine A, Akila G V., Durai V, et al. Prevalence of peripheral neuropathy among type 2 diabetes mellitus patients in a rural health centre in South India. Int J Diabetes Dev Ctries. 2021;41(2):293-300. DOI: 10.1007/s13410-020-00885-6.

Shaikh ANS, Bansal C, Chakraborty A, et al. Assessing the predictive values of sural/radial amplitude ratio and dorsal sural/radial amplitude ratio in peripheral neuropathy of type 2 diabetes mellitus. J Neurosci Rural Pract. 2025;16(3):368-76. DOI:10.25259/JNRP_446_2024

Sharma KNS, Kumar HA. Assessment of the diagnostic accuracy of Vibrasense compared to a biothesiometer and nerve conduction study for screening diabetic peripheral neuropathy. J Foot Ankle Res. 2023;16(1):65. DOI: 10.1186/s13047-023-00667-3.

Feldman EL, Stevens MJ, Thomas PK, Brown MB, Canal N, Greene DA. A practical two-step quantitative clinical and electrophysiological assessment for the diagnosis and staging of diabetic neuropathy. Diabetes Care. 1994;17(11):1281-9. DOI: 10.2337/diacare.17.11.1281.

Ichihashi S, Desormais I, Hashimoto T, Magne J, Kichikawa K, Aboyans V. Accuracy and reliability of the ankle brachial index measurement using a Multicuff Oscillometric device versus the Doppler method. Eur J Vasc Endovasc Surg. 2020;60(3):462-8. DOI: 10.1016/j.ejvs.2020.06.013.

Tantigegn S, Ewunetie AA, Agazhe M, et al. Time to diabetic neuropathy and its predictors among adult type 2 diabetes mellitus patients in Amhara regional state Comprehensive Specialized Hospitals, Northwest Ethiopia, 2022: A retrospective follow-up study. PLoS One. 2023;18:1-17. DOI: 10.1371/journal.pone.0284568.

Bansal D, Gudala K, Esam HP, Nayakallu R, Vyamusani RV, Bhansali A. Microvascular complications and their associated risk factors in newly diagnosed type 2 diabetes mellitus patients. Int J Chronic Dis. 2014;2014(1):201423. DOI: 10.1155/2014/201423.

Tesfaye S, Boulton AJM, Dyck PJ, et al. Diabetic neuropathies: Update on definitions, diagnostic criteria, estimation of severity, and treatments. Diabetes Care. 2010;33(10):2285-93. DOI: 10.2337/dc10-1303.

Potier L, Abi Khalil C, Mohammedi K, Roussel R. Use and utility of Ankle brachial index in patients with diabetes. Eur J Vasc Endovasc Surg. 2011;41(1):110-6. DOI: 10.1016/j.ejvs.2010.09.020.

Yang DR, Wang MY, Zhang CL, Wang Y. Endothelial dysfunction in vascular complications of diabetes: a comprehensive review of mechanisms and implications. Front Endocrinol (Lausanne). 2024;15:1359255. DOI: 10.3389/fendo.2024.1359255.

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Published

30-03-2026

How to Cite

Prachi, Chakraborty, A., Mondal, R., Samuel Shaikh, A. N., Ghoshal, S., Das Munshi, B., & Ghosh, T. (2026). A cross-sectional study evaluating the Ankle-Brachial index in type 2 diabetic neuropathy patients in a tertiary care hospital. Indian Journal of Physiology and Allied Sciences, 78(01), 44–50. https://doi.org/10.55184/ijpas.v78i01.590