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Research Article | Volume 30 Issue 7 (July, 2025) | Pages 170 - 173
Impact of Duration of Diabetes Mellitus on the Physiological Decline of Sensory and Motor Nerve Conduction Velocities: A Comparative Study
 ,
 ,
1
MBBS, University of Visayas Gullas College of Medicine, Cebu City, Philippines
2
Junior Resident, GMERS Medical College, Porbandar, Gujarat, India
3
MBBS, College of Medicine, University of Northern Philippines, Vigan City, Philippines
Under a Creative Commons license
Open Access
Received
June 21, 2025
Revised
June 29, 2025
Accepted
July 8, 2025
Published
July 19, 2025
Abstract

Background: Diabetes mellitus (DM) is a chronic metabolic disorder known to cause progressive neuropathic complications. The duration of diabetes is a critical determinant in the severity of nerve dysfunction. This study aims to evaluate the impact of diabetes duration on sensory and motor nerve conduction velocities (NCVs), comparing recently diagnosed patients with those with longstanding disease. Materials and Methods: A cross-sectional, comparative study was conducted involving 60 type 2 diabetic patients. Group A included 30 individuals with a diabetes duration of less than 5 years, and Group B comprised 30 individuals with diabetes for more than 10 years. Standard nerve conduction studies were performed on the median, ulnar, peroneal, and sural nerves using a digital electromyography system. Motor nerve conduction velocity (MNCV) and sensory nerve conduction velocity (SNCV) values were recorded and compared between the two groups. Results: The mean MNCV of the median nerve in Group A was 52.3 ± 3.1 m/s, while in Group B it was 43.6 ± 4.7 m/s. The ulnar nerve MNCV showed a similar decline from 53.7 ± 2.8 m/s in Group A to 45.1 ± 3.9 m/s in Group B. SNCV of the sural nerve was 47.8 ± 2.4 m/s in Group A and 38.9 ± 3.2 m/s in Group B. All observed differences between the groups were statistically significant (p < 0.01). Conclusion: The study demonstrates a significant reduction in both sensory and motor nerve conduction velocities in patients with a longer duration of diabetes. These findings reinforce the importance of early glycemic control to prevent or delay diabetic neuropathy.

Keywords
INTRODUCTION

Diabetes mellitus (DM) is a widespread metabolic disorder characterized by chronic hyperglycemia resulting from defects in insulin secretion, insulin action, or both. One of the most debilitating complications associated with long-standing diabetes is diabetic neuropathy, which affects nearly 50% of diabetic individuals during their lifetime (1). Peripheral neuropathy, particularly distal symmetric polyneuropathy, is the most common type and primarily manifests as a progressive loss of nerve function, impacting both sensory and motor fibers (2).

 

The underlying mechanisms of diabetic neuropathy are multifactorial, involving metabolic disturbances such as increased polyol pathway flux, oxidative stress, advanced glycation end-products (AGEs) formation, and microvascular insufficiency (3,4). These processes lead to structural and functional changes in peripheral nerves, resulting in reduced nerve conduction velocities (NCVs), which serve as reliable markers of nerve dysfunction (5).

 

Numerous studies have highlighted that the duration of diabetes is a critical risk factor for the development and progression of neuropathy (6,7). Prolonged exposure to hyperglycemia induces cumulative neural damage, which is detectable through nerve conduction studies (NCS) even in asymptomatic patients (8). NCVs tend to decline progressively with increasing disease duration, suggesting that early diagnosis and glycemic control may play a vital role in preserving nerve function (9).

 

Despite the known association between diabetes duration and nerve dysfunction, there remains a need for comparative data evaluating the specific impact on both sensory and motor components of peripheral nerves. This study was designed to assess and compare the changes in nerve conduction velocities among patients with short-term versus long-term diabetes to better understand the temporal progression of diabetic neuropathy.

MATERIALS AND METHODS

A total of 60 participants with type 2 diabetes mellitus were enrolled and categorized into two groups based on the duration of their disease. Group A included 30 individuals with diabetes duration of less than 5 years, while Group B consisted of 30 individuals with diabetes duration exceeding 10 years.

 

Inclusion Criteria:

Participants aged between 40 and 65 years with a confirmed diagnosis of type 2 diabetes mellitus were included. All subjects had stable glycemic control, and none were on insulin therapy.

 

Exclusion Criteria:

Individuals with a history of alcohol abuse, smoking, thyroid dysfunction, vitamin B12 deficiency, renal impairment, or other known causes of neuropathy were excluded. Additionally, those with prior neurologic or musculoskeletal disorders affecting nerve function were not considered.

 

Nerve Conduction Study (NCS):

Nerve conduction testing was performed using a standard EMG-NCV machine under controlled room temperature (22–25°C). The median and ulnar nerves were assessed for motor conduction in the upper limbs, while the peroneal nerve was evaluated in the lower limb. Sensory conduction studies were conducted for the sural and median nerves. Surface electrodes were used following standard anatomical landmarks for stimulation and recording.

 

Motor nerve conduction velocity (MNCV) was measured by stimulating the nerve at two points and recording the muscle response, while sensory nerve conduction velocity (SNCV) was calculated based on the latency and distance between the stimulating and recording electrodes. All procedures followed the recommendations of the American Association of Neuromuscular & Electrodiagnostic Medicine.

 

Statistical Analysis:

Data were recorded and analyzed using SPSS version 25.0. Continuous variables were expressed as mean ± standard deviation. The comparison between the two groups was performed using the independent samples t-test. A p-value less than 0.05 was considered statistically significant.

MATERIALS AND METHODS

A total of 60 participants were evaluated, with 30 in Group A (diabetes duration <5 years) and 30 in Group B (diabetes duration >10 years). The mean age of subjects in Group A was 51.2 ± 5.6 years, while that in Group B was 56.8 ± 6.2 years. The male-to-female ratio was similar in both groups.

 

Motor and sensory nerve conduction velocities were measured for the median, ulnar, peroneal, and sural nerves. A consistent decline in conduction velocities was observed in Group B compared to Group A across all nerves tested.

As shown in Table 1, the motor nerve conduction velocity (MNCV) of the median nerve in Group A was 52.3 ± 3.1 m/s, while in Group B it was reduced to 43.6 ± 4.7 m/s. Similarly, the ulnar nerve MNCV showed a decline from 53.7 ± 2.8 m/s in Group A to 45.1 ± 3.9 m/s in Group B. In the lower limbs, the peroneal nerve MNCV decreased from 47.9 ± 3.5 m/s in Group A to 39.2 ± 4.1 m/s in Group B.

 

Table 2 presents the sensory nerve conduction velocity (SNCV) values. The median nerve SNCV was 49.1 ± 3.2 m/s in Group A and 40.4 ± 4.3 m/s in Group B. The sural nerve SNCV declined from 47.8 ± 2.4 m/s in Group A to 38.9 ± 3.2 m/s in Group B. All differences between the groups were statistically significant (p < 0.01).

 

These findings indicate a marked reduction in both motor and sensory conduction velocities in individuals with longer duration of diabetes, suggesting progressive neuropathic changes.

 

Table 1: Comparison of Motor Nerve Conduction Velocities (MNCV) Between Groups

Nerve Tested

Group A (<5 years)

Group B (>10 years)

p-value

Median Nerve

52.3 ± 3.1 m/s

43.6 ± 4.7 m/s

<0.01

Ulnar Nerve

53.7 ± 2.8 m/s

45.1 ± 3.9 m/s

<0.01

Peroneal Nerve

47.9 ± 3.5 m/s

39.2 ± 4.1 m/s

<0.01

 

Table 2: Comparison of Sensory Nerve Conduction Velocities (SNCV) Between Groups

Nerve Tested

Group A (<5 years)

Group B (>10 years)

p-value

Median Nerve

49.1 ± 3.2 m/s

40.4 ± 4.3 m/s

<0.01

Sural Nerve

47.8 ± 2.4 m/s

38.9 ± 3.2 m/s

<0.01

DISCUSSION

This study demonstrates a significant decline in both sensory and motor nerve conduction velocities (NCVs) in patients with longer durations of type 2 diabetes mellitus. The findings are consistent with previous literature indicating that the chronicity of hyperglycemia plays a crucial role in the development and progression of diabetic peripheral neuropathy (1,2).

 

Peripheral nerve dysfunction in diabetes is believed to arise from a combination of metabolic and vascular mechanisms. Chronic hyperglycemia initiates a cascade of pathophysiological changes, including the activation of the polyol pathway, accumulation of advanced glycation end-products (AGEs), and oxidative stress, which collectively damage the structure and function of peripheral nerves (3–5). These mechanisms contribute to demyelination, axonal degeneration, and microvascular changes, all of which are reflected in decreased NCVs (6,7).

 

The present study revealed that the median and ulnar nerves in the upper limbs and the peroneal and sural nerves in the lower limbs showed marked reductions in conduction velocities in patients with more than 10 years of diabetes, compared to those with less than 5 years. Similar results were reported by Dyck et al., who found that diabetic neuropathy progresses with time, particularly affecting distal nerve segments first due to their length-dependent vulnerability (8).

 

Motor nerves, especially in the lower extremities, are known to be affected earlier and more severely due to higher metabolic demands and longer axonal lengths (9,10). The significantly reduced motor NCVs in the peroneal nerve in our study support this hypothesis. Comparable findings have been documented in other cross-sectional studies assessing diabetic neuropathy across various populations (11,12).

 

Furthermore, sensory nerves, such as the sural and median nerves, also showed substantial slowing of conduction velocities. This is consistent with the fact that sensory fibers, being smaller and less myelinated, are more susceptible to ischemic and metabolic insults (13). Previous electrophysiological studies have emphasized that sensory NCV reduction often precedes clinical symptoms, highlighting the value of NCS in early detection (14,15).

CONCLUSION

In summary, this study reinforces the evidence that duration of diabetes mellitus is a key factor influencing the progression of peripheral neuropathy, as reflected in nerve conduction abnormalities. Early detection through routine nerve conduction studies and stringent glycemic control remains essential in mitigating long-term neurological complications in diabetic individuals.

REFERENCES
  1. Hussain G, Rizvi SA, Singhal S, Zubair M, Ahmad J. Cross sectional study to evaluate the effect of duration of type 2 diabetes mellitus on the nerve conduction velocity in diabetic peripheral neuropathy. Diabetes Metab Syndr. 2014;8(1):48–52.
  2. Hussain G, Rizvi SA, Singhal S, Zubair M, Ahmad J. Serum levels of TGF-β1 in patients of diabetic peripheral neuropathy and its correlation with nerve conduction velocity in type 2 diabetes mellitus. Diabetes Metab Syndr. 2016;10(Suppl 1):S135–9.
  3. Hussain G, Rizvi SA, Singhal S, Zubair M, Ahmad J. Serum levels of TNF-α in peripheral neuropathy patients and its correlation with nerve conduction velocity in type 2 diabetes mellitus. Diabetes Metab Syndr. 2013;7(4):238–42.
  4. Asad A, Hameed MA, Khan UA, Butt MU, Ahmed N, Nadeem A. Comparison of nerve conduction studies with diabetic neuropathy symptom score and diabetic neuropathy examination score in type-2 diabetics for detection of sensorimotor polyneuropathy. J Pak Med Assoc. 2009;59(9):594–8.
  5. Liu MS, Hu BL, Cui LY, Tang XF, Du H, Li BH. [Clinical and neurophysiological features of 700 patients with diabetic peripheral neuropathy]. Zhonghua Nei Ke Za Zhi. 2005;44(3):173–6. Chinese.
  6. Asad A, Hameed MA, Khan UA, Ahmed N, Butt MU. Reliability of the neurological scores for assessment of sensorimotor neuropathy in type 2 diabetics. J Pak Med Assoc. 2010;60(3):166–70.
  7. Karsidag S, Morali S, Sargin M, Salman S, Karsidag K, Us O. The electrophysiological findings of subclinical neuropathy in patients with recently diagnosed type 1 diabetes mellitus. Diabetes Res Clin Pract. 2005;67(3):211–9.
  8. Jarmuzewska EA, Mangoni AA. Pulse pressure is independently associated with sensorimotor peripheral neuropathy in patients with type 2 diabetes. J Intern Med. 2005;258(1):38–44.
  9. Schütt P, Muche H, Lehmann HJ, Hielscher H. Sural nerve conduction velocity and refractory period in diabetics without clinical signs of neuropathy. Horm Metab Res Suppl. 1980;9:39–42.
  10. Weerasuriya N, Siribaddana S, Wijeweera I, Dissanayeka A, Wijesekera J, Fernando DJ. The prevalence of peripheral neuropathy in newly diagnosed patients with non-insulin-dependent diabetes mellitus. Ceylon Med J. 1998;43(1):19–21.
  11. Dixit S, Maiya AG, Shastry BA. Effect of aerobic exercise on peripheral nerve functions of population with diabetic peripheral neuropathy in type 2 diabetes: a single blind, parallel group randomized controlled trial. J Diabetes Complications. 2014;28(3):332–9.
  12. Hyllienmark L, Jonsson B, Ekberg K, Lindström P. Abnormal cold perception in the lower limbs: a sensitive indicator for detection of polyneuropathy in patients with type 1 diabetes mellitus. Diabetes Res Clin Pract. 2009;85(3):298–303.
  13. Papanas N, Giassakis G, Papatheodorou K, Papazoglou D, Monastiriotis C, Christakidis D, et al. Sensitivity and specificity of a new indicator test (Neuropad) for the diagnosis of peripheral neuropathy in type 2 diabetes patients: a comparison with clinical examination and nerve conduction study. J Diabetes Complications. 2007;21(6):353–8.
  14. Hasegawa O, Matsumoto S, Gondo G, Arita T. [Polyneuropathy index-revised in the evaluation of diabetic neuropathy]. No To Shinkei. 2001;53(3):259–63. Japanese.
  15. Uluc K, Isak B, Borucu D, Temucin CM, Cetinkaya Y, Koytak PK, et al. Medial plantar and dorsal sural nerve conduction studies increase the sensitivity in the detection of neuropathy in diabetic patients. Clin Neurophysiol. 2008;119(4):880–5.
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