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Patterns of facial and blink reflex abnormalities in type 2 diabetes mellitus patients with short disease duration: a clue to subclinical cranial neuropathy

Abstract

Background

Cranial neuropathies occur in 3 to 14% of diabetic patients. Motor conduction study of the facial nerve and blink reflex study are electrophysiologic techniques used to assess the facio-trigeminal pathway in diabetic patients. The patterns of facial and blink reflex abnormalities are inconsistent among studies. This study aimed to assess the subclinical facial nerve and blink reflex abnormalities patterns in short-duration type 2 diabetes mellitus patients. This cross-sectional study included 30 type 2 diabetic patients with disease duration ≤ 5 years. We included only patients with the Toronto clinical neuropathy score ≤ 5. We enrolled 30 age- and sex-matched healthy subjects as a control group. We performed facial nerve motor conduction and blink reflex studies. Patients with prior history of cranial nerve lesions, stroke, or any other disease-causing polyneuropathy or drug-induced neuropathy were excluded from the study.

Results

Thirty diabetic patients were included, 20 females (66.7%) and ten males (33.3%). Their mean age was 52.63 ± 8.94 years. None of the patients had clinical evidence of neuropathy. There were significant differences between patients and controls in the distal latencies and amplitudes of facial nerve compound muscle action potentials and contralateral R2 late response latencies of the blink reflex. We detected subclinical cranial abnormalities in 6 diabetic patients (20%). One of them (3.3%) had facial nerve conduction abnormalities, four of them (13.4%) had blink reflex abnormalities, and one of them (3.3%) had both facial nerve and blink reflex abnormalities.

Conclusion

Subclinical cranial neuropathy can occur in short-duration type 2 diabetes mellitus patients. We detected different blink reflex patterns and facial conduction study abnormalities. We recommend blink reflex and facial nerve conduction studies as simple tests for the early evaluation of neurological subclinical affection in patients with short disease duration of T2DM as they may appear in the absence of peripheral neuropathy.

Background

Diabetes mellitus (DM) has reached epidemic international proportions, particularly in developing countries [1]. In the Eastern Mediterranean region, DM prevalence was 3.5–25% in 2003 and is expected to rise to 9–30% by 2025 [2, 3]. Diabetic neuropathies (DN) are the most prevalent chronic microvascular complications of diabetes (50 to 90%) [4, 5]. Diabetic neuropathies are classified into generalized and focal neuropathies [6, 7]. Generalized neuropathies include diabetic sensorimotor polyneuropathy (DSPN), acute painful polyneuropathy, and autonomic neuropathy. Focal/multifocal neuropathies include cranial neuropathy, mononeuritis, mononeuritis multiplex, radiculoplexus neuropathy, and entrapment neuropathy [6, 7].

Diabetic cranial neuropathies manifest as mononeuropathies. Multiple cranial neuropathies are less common [8], although they can occur concurrently in diabetic patients and may be the presenting symptom of newly diagnosed diabetes or glucose intolerance [8].

Diabetic patients have a ten-time increase in the incidence of cranial nerve palsies [8], and the occurrence of cranial nerve affection (painful or painless) varies between 3 and 14% [9]. The facial and oculomotor nerves are among the most commonly affected nerves, while the trochlear, trigeminal, glossopharyngeal, and vagus nerves are less frequently affected [8,9,10,11]. The prognosis is favorable for most patients recovering spontaneously within 3 to 5 months [8].

Diabetic neuropathies not only are a late complication but also can develop during the disease [7]. Facial nerve motor conduction and blink reflex (BR) studies are electrophysiologic techniques used for the assessment of the facial nerve and the facio-trigeminal pathway in diabetic patients, including those with early diagnosed type 2 diabetes (T2DM) [9].

Different studies [11,12,13,14,15] showed significant prolongation in distal latency (DML) and reduction of the amplitude of facial compound muscle action potential (CMAP) in diabetic patients compared to controls. In addition, a significant delay in the early response (R1), ipsilateral late response (R2I), and contralateral late response (R2C) of the BR were detected in diabetic patients compared to controls [11,12,13,14,15,16,17]. Facial nerve abnormalities were reported in 5 to 23.9% [10, 11] and BR abnormalities in 26 to 55% of diabetic patients [10, 11, 15].

Few studies, however, presented patterns of facial and BR abnormalities at individual levels. These patterns delineate sites of involvement along the cranial nerves pathway, both intra- and extra-axial, and may help to reveal the underlying pathophysiologic mechanisms (vascular, inflammatory, and neurodegenerative) [18, 19].

This work aimed to detect the pattern of the subclinical BR and facial nerve conduction abnormalities in the early diagnosed T2DM. The main reference of the current study was detected by Aramideh and his colleagues [18], who used autopsy and magnetic resonance images in localizing the abnormalities of the BR in the facial-trigeminal pathway.

In contrast to manifestations in the distal portions of the body, particularly the lower extremities, the subclinical trigeminal and facial nerve complications in T2DM are not adequately investigated. However, patients’ quality of life and well-being depend on proper trigeminal function (which includes efficient mastication, food enjoyment, communication, and intimacy) [20] and facial function (face expressions). That gives attention to screening and detection of the subclinical trigeminal and facial neuropathy in T2DM of short duration.

Methods

This study is a cross-sectional case-control study. We enrolled 30 diabetic patients from those attending the outpatient clinics of Physical Medicine, Rheumatology and Rehabilitation Department, Alexandria, and Main University Hospital. In addition, 30 healthy age- and sex-matched volunteers were enrolled as a control group. The clinical diagnosis of T2DM was according to the World Health Organization criteria for diagnosis of DM [21]. Patients with short-duration T2DM were included (disease duration from 6 months to 5 years). Demographic data were recorded. General and neurological examinations (cranial, motor, sensory, and reflexes) were performed. Moreover, laboratory investigations, such as fasting blood glucose level, 2-h postprandial, and glycated hemoglobin (HbA1C), were performed for them.

All cranial nerves were examined to assess any abnormalities, focusing on the trigeminal and facial nerves. Motor, sensory, and reflexes are components of the trigeminal nerve. We tested ophthalmic, maxillary, and mandibular sensory branches with cotton wool.

Regarding the motor component, masseter and temporalis muscles were inspected, and then, patients were asked to clench their teeth to test power. Patients were asked to open the jaw and keep it open against resistance to test pterygoid muscle power. The corneal and jaw jerk reflexes were done. Facial muscles were examined: facial movements (upper and lower face) using the Sunnybrook Facial Grading System (by comparing both sides of the face as regards eye movement, nasolabial fold, and mouth movement in the standard face expressions). The examination of the sensory branch of the facial was done by assessing the taste sensation over the anterior two-thirds of the tongue [22].

The Toronto clinical neuropathy scoring system (TCNS) [23] was used to measure changes in early DSPN pathophysiology because of its content validity [23]. The TCNS score of each patient was recorded out of 19. It was used to categorize the severity of neuropathy [24]. No neuropathy (0 to 5), mild neuropathy (6 to 8), moderate (9 to 11), and severe diabetic neuropathy (12 to 19). We enrolled only patients with a score of ≤ 5 points (no clinical DSPN).

Electrophysiological assessment

Neuropack 2 electromyograph apparatus (MEB-7102K) and (MEB-9400) from the Nihon Kohden (Japan) were used to perform the electrophysiological studies of this work [25]. The temperature of the room was adjusted for standardized results.

We studied facial motor nerves bilaterally by measuring the DML and amplitude for nasalis and orbicularis oculi muscles. The stimulation site was just below the ear anterior to the tragus. An active recording electrode was placed lateral to the mid-nose and a reference electrode was placed on thecontralateral side of the nose at the same site for recording from the nasalis muscle. An active recording electrode was placed inferior and slightly lateral to the pupil at mid-position, and a reference electrode was placed just lateral to the lateral canthus for recording from the orbicularis muscle. We placed the ground electrode at the wrist of the patient. Abnormalities of the facial nerve conduction study were determined based on a comparison of normative data obtained from the control group. Values exceeding the cutoffs (mean ± 3SD in DML and mean ± 2SD in amplitude) obtained from the control group were abnormal [14].

Blink reflex recording was simultaneously performed on both sides of the face using a two-channel recording apparatus. We only needed a current of 15 to 25 mA to get supramaximal stimulation. We set the duration of the electrical pulse to 100 μs. We set sensitivity at 100 to 200 μV per division; we set the sweep speed at 5 to 10 ms per division, and the filter motor settings were 10 Hz and 10 kHz. The following BR parameters were recorded: ipsilateral early response (R1), ipsilateral late response (R2I), and contralateral late response (R2C) latencies. Abnormalities of the BR parameters were determined based on a comparison with normative data got from the control group. Values exceeding the cutoffs (mean ± 2SD) obtained from the control group were abnormal. Interpreting BR abnormalities for localization of the lesion across the BR arc pathway was done according to Aramideh et al. [18] and electromyography neuromuscular disorders [25]. Latency differences of over 1.2 ms between the right and left sides for the R1 responses, 5.0 ms for the R2I and 7.0 ms for R2C responses, were abnormal [25].

In addition, peripheral sensory and motor conduction studies of upper and lower limbs were done to detect associated subclinical DSPN. Antidromic sensory conduction studies of median, ulnar, superficial radial, and sural nerves were performed [25]. Motor conduction studies and F-wave responses of the median, ulnar, posterior tibial, and deep peroneal nerves were performed [25].

The local ethics committee of the Faculty of Medicine approved this current study at the Alexandria University. We got written consent from all the studied patients and controls.

Statistical methods

Data were analyzed using the Statistical Package for Social Science. Qualitative data were described using numbers and percentages. Quantitative data were described using the range, arithmetic mean, standard deviation, and median. The chi-square test (χ2) was used to categorize variables and compare between different groups. Student t-test (t) was used for comparison of normally distributed quantitative variables, while the Mann-Whitney test (U) was used for comparison of abnormally distributed quantitative variables to compare the two studied groups. Kruskal-Wallis H-test (H) was used for comparison of more than two groups. Pearson correlation coefficient test (r) was used to measure the statistical association between two continuous variables. Spearman’s correlation coefficient (rs) was used to measure the strength and direction of association between two variables on at least an ordinal scale.

Results

The study included 30 diabetic patients with a mean age of 52.63 ± 8.94 years, ranging from 31 to 65 years; 20 were females (66.7%), and 10 were males (33.3%). Thirty healthy subjects were enrolled as a control group; 19 were females (63%), and 11 were males (37%). Their age ranged from 40 to 65 years, with a mean of 51.07 ± 7.75 years. No significant differences were found between patients and controls regarding age and gender (P = 0.305 and 0.260, respectively). Duration of DM ranged from 8 months to 5 years, with a mean of 3.15 ± 1.43 years.

The fasting blood glucose level of diabetic patients ranged from 73 to 358 mmol/l with a mean of 181.5 ± 73.88 mmol/l. Two-hour postprandial glucose levels ranged from 120 to 550 mmol/l with a mean of 272.9 ± 108.6 mmol/l. On the other hand, the HbA1C of the studied patients ranged from 6.5 to 11.9 and had a mean of 8.9 ± 1.67. All patients were receiving oral hypoglycemic drugs.

None of the patients had subjective facio-oral complaints or objective evidence (signs) of cranial neuropathy on the clinical examination. The TCNS ranged from 0 to 5 points bilaterally with a median of 3.0 (2.0–4.0), indicating the absence of clinical neuropathy.

Electrophysiological results

Regarding the electrophysiological study of the facial nerve, the DML was significantly prolonged, and the amplitude was significantly reduced in the diabetic group compared to controls (Table 1). Abnormalities in facial nerve conduction study were values exceeding the cutoffs (mean ± 3SD for the DML and mean ± 2SD for the amplitude) got from the control group (Table 2).

Table 1 Comparison between the diabetic and control groups regarding facial nerve parameters
Table 2 The cutoff values of the electrophysiological parameters of the studied facial nerves branches (orbicularis oculi & nasalis)

The BR showed statistically significant prolongation of the mean latency of R2C in patients compared to controls (P = 0.002) with no difference regarding the mean latencies of R1 and R2I, as shown in Table 3. Abnormalities of the BR were values exceeding the cutoffs (mean ± 2SD) got from the control group (Table 4).

Table 3 Comparison between the diabetic and control groups regarding blink reflex latencies
Table 4 Cutoff values of the electrophysiological parameters of the studied blink reflex

Individual data analysis

We found subclinical cranial neuropathy in 6 patients (20%). One patient (3.3%) had abnormal facial nerve conduction study, 4 patients (13.4%) had abnormalities in BR study, and one patient (3.3%) had both facial nerve conduction study and BR abnormalities.

The facial nerve conduction study was abnormal (exceeding the cutoff value) in 2 patients (6.7%) (one female & one male). The diabetic female patient had prolonged DML and diminished amplitude in the right facial nerve with involvement of both branches (to orbicularis oculi & nasalis) (Fig. 1). The diabetic male patient had prolonged DML in the left facial nerve involving only the branch to orbicularis oculi muscle, as well as having right trigeminal neuropathy abnormality in the BR (absent right R1, R2I, and R2C).

Fig. 1
figure 1

Bilateral facial nerve conduction study of a 63-year-old diabetic female patient showing mixed demyelinating-axonal degeneration neuropathy of the right facial branches: orbicularis oculi and nasalis. DL, distal latency; Amp, amplitude

We detected abnormalities of the BR in 5 patients (16.7%) (4 males & one female). Figures 2, 3, 4, 5 and 6 show patterns of BR abnormalities in those patients. These represented four patterns:

  1. 1.

    Absence of right R1, R2I, and R2C in one patient (3.3%) which localizes the lesion at the peripheral pathway (right trigeminal neuropathy). This patient has left facial neuropathy as well.

  2. 2.

    Delayed left R2I and R2C (lesion of the spinal complex of the left trigeminal nerve) were detected in two patients.

  3. 3.

    Delayed left R1 (left mid-pontine lesion) found in one patient.

  4. 4.

    Delayed left R2I and absent R2C bilaterally (left trigeminal spinal complex and crossed interneuron fibers lesion) were detected in one patient.

Fig. 2
figure 2

BR study of a 60-year-old diabetic male patient showing right trigeminal neuropathy (absent right R1, ipsilateral R2, and contralateral R2). R1, early response; R2I, ipsilateral late response; R2C, contralateral late response

Fig. 3
figure 3

Blink reflex study of a 65-year-old diabetic male patient A showing left trigeminal spinal complex neuropathy (delay left R2I and R2C). R1, early response; R2I, ipsilateral late response; R2C, contralateral late response

Fig. 4
figure 4

Blink reflex study of a 37-year-old diabetic male patient A showing left mid-pontine fibers neuropathy (delay left R1). R1, early response; R2I, ipsilateral late response; R2C, contralateral late response

Fig. 5
figure 5

Blink reflex study of a 63-year-old diabetic female patient showing left trigeminal spinal complex neuropathy (delay left R2I and R2C). R1, early response; R2I, ipsilateral late response; R2C, contralateral late response

Fig. 6
figure 6

Blink reflex study of a 63-year-old diabetic male patient A showing left trigeminal spinal complex and crossed interneuron fibers lesion (delay left R2I and absent R2C bilaterally). R1, early response; R2I, ipsilateral late response; R2C, contralateral late response

Patterns 2, 3, and 4 are consistent with lesions in the central pathway (13.4%).

We presented a comparison between patients and controls in parameters of sensory and motor nerve conduction studies of the upper and lower limb nerves (Table 5). We found electrophysiological evidence of subclinical DSPN in 7 patients (23.3%). Only two patients (28.6%) out of 7 patients with subclinical DSPN had subclinical cranial neuropathy (both had BR abnormalities). Four patients (17.4%) out of 23 patients without DSPN had subclinical cranial neuropathy.

Table 5 The significant sensory and motor conduction study parameters of the upper and lower limbs

Facial nerve conduction and BR abnormalities had positive correlation with age (r = 0.389, P =0.002) and no correlation with disease duration (rs = −0.082, P =0.532), HbA1C (r = −0.123, P = 0.349), or subclinical DSPN (rs = 0.036, P = 0.79) (Table 6).

Table 6 Correlation between age, disease duration, the HbA1C level, and subclinical DSPN with cranial neuropathy in the diabetic group

Discussion

Diabetic cranial neuropathies are less common than peripheral neuropathies, and the exact incidence is unknown [9, 26]. Subclinical cranial neuropathy (trigeminal & facial involvement) was reported to be 7.5-fold more frequent in T2DM patients than in the nondiabetics [27].

In the current study, 20% of the studied diabetic patients had abnormalities in facial nerve and BR studies, which indicates that subclinical cranial neuropathy is not uncommon in short-duration T2DM patients. Mean DML of facial nerve was significantly prolonged, and mean amplitude was significantly diminished in diabetic patients compared to controls. Leventoğlu et al. (2009) [28], and Metwally et al. (2014) [9], showed significantly delayed facial nerve DML in early diagnosed diabetic patients compared to controls with no significant difference in facial nerve CMAP amplitude. They concluded that the evaluation of facial nerve DML may improve diagnostic yield and should be included in the routine evaluation of diabetic patients [28].

Unilateral subclinical facial neuropathy was found in 2 of the currently studied patients (6.7%). Similarly, Urban et al. (1999) [27] found subclinical facial neuropathy in 6.2% of diabetic patients indicating that subclinical facial nerve involvement is not infrequent in T2DM.

As regards blink reflex, the present work showed significant prolongation of mean latency of R2C in patients compared to controls, with no significant change regarding the mean latencies of R1 and R2I. This can be explained by the fact that R1 is conducted by oligo-synaptic exteroceptive intermediate thickness myelinated A-beta fibers, while R2 is conducted by polysynaptic nociceptive thin myelinated A-delta fibers [16, 29]. Thin myelinated fiber pathology is thought to occur before large fiber early involvement in the prediabetic and newly diagnosed T2DM [30]. Moreover, the prolongation of R2 latencies is secondary to altered conduction of the central polysynaptic circuits in diabetic patients.

Similarly, both Guney et al. (2008) [17] and Elkholy et al. (2014) [16] found a significant prolongation of R2C response in patients compared to controls and reported that the R2C is the most sensitive response in the BR. It aids in the identification of subclinical cranial neuropathy in T2DM, indicating sensory dysfunction and neural hyper-excitability [17]. Xiao et al. (2021) [31] explained that the reflex arc of R2 and the intermediate neurons of the reticular structure have a multisynaptic connection that is vulnerable to many circumstances, including thalamic and brain lesions [31].

Additionally, the current study detected subclinical abnormalities of the BR in 16.7% of the studied diabetic patients. These results suggest that BR can be helpful as a tool for evaluating and diagnosing diabetes patients with subclinical cranial neuropathy [31]. In line with these results, Elkholy et al. in (2014) [16] found that 20% of diabetic patients with a disease duration of 6.75 ± 4.30 years had abnormal BR manifested as delayed mean latency of R2C.

Regarding patterns of BR and facial nerve abnormalities, they are quite variable among studies. In the present study, the BR pattern abnormalities localized the subclinical cranial neuropathy along the BR arc in the trigeminal nerve either in the peripheral pathway (3.3%) or in the central pathway (13.4%). Accordingly, it was suggested that BR can be used as an indicator of cranial neuropathy whether central or peripheral, as well as the conduction channels that connect them [31]. Several authors [10, 11, 15, 17, 18, 32, 33] suggested that BR is a highly sensitive approach for pinpointing lesions of the trigeminal or facial nerves, as well as lesions of the brain stem, even at an early stage.

The absence of facial neuropathy in the BR results highlights the importance of performing a facial nerve conduction study in screening for subclinical facial neuropathy in T2DM. This could be explained by the distal to proximal neural damage as a character of DN [34]. In addition, the changes (prolonged latency reflecting conduction slowing) in the facial nerve conduction study in the current work are mild and mostly diluted by the long pathway and multiple synapses along the BR pathway. Unfortunately, we did not measure BR amplitude to detect the abnormalities related to axonopathy.

The frequency of subclinical cranial neuropathy in patients with subclinical DSPN (28.6%) was higher than that in patients without DSPN (17.4%). These results agreed with Elkholy et al. (2014) [16] who found that 35% of diabetic patients with DSPN have abnormal BR compared to 5% of diabetic patients without PN. In addition, Lai et al. (2020) [35] and Xiao et al. (2021) [31] found that R1, R2I, and R2C latencies were all longer in patients having DSPN. They concluded that patients with DSPN have a higher risk of cranial nerve abnormalities than diabetic patients without clinical DSPN [16, 31, 35]. Moreover, Fadhil et al. in (2017) [15] concluded that DSPN increases the risk of cranial neuropathy. This can be explained through the fact that the microvascular complications of T2DM can cause damage to somatic cranial nerves by a similar mechanism to peripheral nerves (metabolic, vascular, and other causes) [16].

In the current study, there were 5 patients with subclinical DSPN who had no cranial neuropathy. In addition, there was no significant correlation between subclinical cranial neuropathy and subclinical DSPN. This indicates that cranial neuropathy can occur in isolation with the absence of peripheral neuropathy in diabetic patients [26]. The relation between DSPN and the occurrence of cranial neuropathy was variable in the literature. Kazamel et al. (2015) [26] reported that cranial nerves may be affected in T2DM in isolation without DSPN. Fadhil et al. (2017) [15] suggested that peripheral neuropathy raises the possibility of cranial nerve neuropathy. There was no explanation for this so far. Accordingly, BR and facial nerve conduction studies are effective methods for detecting subclinical cranial nerve abnormalities in diabetic patients with short duration.

We found that subclinical cranial neuropathy was not correlated with disease duration and HbA1C. These results agree with the results of Irkeç et al. (2001) [14] who found no correlation between facial nerve conduction study parameters and both duration of diabetes and HbAlC values. Additionally, Trujillo-Hernández et al. (2003) [29] reported that BR abnormalities can occur even in patients with a short period of T2DM. However, Shahine (2013) [36] found no correlation between BR abnormalities and diabetic disease duration. El-Bardawil et al. (2019) [37] found no correlation between BR abnormalities and HbA1C. On the other hand, this study showed that cranial neuropathy had a positive significant correlation with age that can be explained by age-related reduction of dopamine production by dopaminergic neurons in the substantia nigra, which can affect trigeminal-facial stimulation [13].

Conclusions

In conclusion, subclinical cranial neuropathy can occur in short-duration T2DM patients even in the absence of DSPN. We detected different patterns of abnormalities in blink reflex and facial nerve conduction studies. We recommend blink reflex and facial nerve conduction studies as simple tests for the early screening of cranial neuropathy in diabetic patients.

Limitations

The limitation of the current study includes a small number of studied patients. We need more extensive assessment techniques for abnormalities detection in the central trigeminal-facial pathway as magnetic resonance imaging.

Availability of data and materials

The data that support this study are available at Gihan Abd EL-Fattah Tawfik (the corresponding author) on reasonable request.

Abbreviations

HbA1C:

Glycated hemoglobin

BR:

Blink response

CMAP:

Compound muscle action potential

DML:

Distal motor latency

DN:

Diabetic neuropathy

DSPN:

Distal symmetrical sensorimotor polyneuropathy

R1:

Early response

R2C:

Contralateral late response

R2I:

Ipsilateral late response

T2DM:

Type 2 diabetes mellitus

TCNS:

Toronto clinical neuropathy scoring system

References

  1. Katulanda P, Ranasinghe P, Jayawardena R, Constantine GR, Sheriff MHR, Matthews DR (2012) The prevalence, patterns and predictors of diabetic peripheral neuropathy in a developing country. Diabetol Metab Syndr 4:21. https://doi.org/10.1186/1758-5996-4-21

    Article  PubMed  PubMed Central  Google Scholar 

  2. Khatib OMN (2006) Guidelines for the prevention, management and care of diabetes mellitus. World Health Organization

    Google Scholar 

  3. King H, Aubert R, Herman W (1998) Global burden of diabetes, 1995–2025: prevalence, numerical estimates, and projections. Diabetes Care 21:1414–1431. https://doi.org/10.2337/diacare.21.9.1414

    Article  CAS  PubMed  Google Scholar 

  4. Koçer A (2018) How to diagnose neuropathy in diabetes mellitus? Eur Respir J 4(2):55–69. https://doi.org/10.2147/DMSO.S319895

    Article  Google Scholar 

  5. Ali A, Iqbal F, Taj A, Iqbal Z, Amin MJ, Iqbal QZ (2013) Prevalence of microvascular complications in newly diagnosed patients with type 2 diabetes. Pak. J Med Sci 29:899–902. https://doi.org/10.12669/pjms.294.3704

    Article  Google Scholar 

  6. Danjo J, Danjo S, Sawada H, Uchida K, Nakamura Y (2018) Diabetic neuropathy: a focus on the testing method. Int J Fam Commun Med 2(1):1–5. https://doi.org/10.15406/ijfcm.2018.02.00027

    Article  Google Scholar 

  7. Sloan G, Selvarajah D, Tesfaye S (2021) Pathogenesis, diagnosis and clinical management of diabetic sensorimotor peripheral neuropathy. Nat Rev Endocrinol 17:400–420. https://doi.org/10.1038/s41574-021-00496-z

    Article  PubMed  Google Scholar 

  8. Tu MC, Chang YY, Lin TK (2010) Recurrent multiple cranial neuropathies in a diabetic patient. Acta Neurol Taiwanica 19:208–212

    Google Scholar 

  9. Metwally NAH, Elkabeer AM (2014) Clinical utility of facial and dorsal sural nerve conduction studies in patients with type ii diabetes mellitus. AAMJ 12(1):244–255

    Google Scholar 

  10. Nazliel B, Yetkin I, Irkec C, Kocer B (2001) Blink reflex abnormalities in diabetes mellitus. Diabetes Metab Res Rev 17:396–400. https://doi.org/10.1002/dmrr.2242

    Article  CAS  PubMed  Google Scholar 

  11. Kazem SS, Behzad D (2006) Role of blink reflex in diagnosis of subclinical cranial neuropathy in diabetic mellitus type II. Am J Phys Med Rehabil 85:449–452. https://doi.org/10.1097/01.phm.0000197590.10469.4b

    Article  PubMed  Google Scholar 

  12. Pawar S, Chatur D, Udan V, Singh R (2012) The usefulness of blink reflex in diabetic patients with or without polyneuropathy: a case-control study in Central Indian subjects. Curr Neurobiol 3(1):47–50 https://www.researchgate.net/publication/315766829

    Google Scholar 

  13. Bricio-Barrios JA, Ríos-Bracamontes E, Ríos-Silva M, Huerta M, Serrano-Moreno W, Barrios-Navarro JE et al (2022) Alterations in blink and masseter reflex latencies in older adults with neurocognitive disorder and/or diabetes mellitus. World J Clin Cases 10(1):177–188. https://doi.org/10.12998/wjcc.v10.i1.177

    Article  PubMed  PubMed Central  Google Scholar 

  14. Irkeç C, Nazlıel B, Yetkın I, Kocer B (2001) Facial nerve conduction in diabetic neuropathy. Acta Neurol Belg 101:177–179

    PubMed  Google Scholar 

  15. Fadhil W, Saad J, Kareem M, Al-Tameemi KM (2017) Does peripheral neuropathy associate with cranial nerves neuropathy in type 2 diabetes patients? J Univ Babylon Pure Appl Sci (JUBPAS) 25(2):676 https://www.researchgate.net/publication/340926196

    Google Scholar 

  16. Elkholy SH, Hosny HM, Shalaby NM, El-Hadidy RA, El-Rahim NTA, Mohamed MM (2014) Blink reflex in type 2 diabetes mellitus. J Clin Neurophysiol 31:552–555. https://doi.org/10.1097/WNP.0000000000000103

    Article  PubMed  Google Scholar 

  17. Guney F, Demir O, Gonen MS (2008) Blink reflex alterations in diabetic patients with or without polyneuropathy. Int J Neurosci 118:1287–1298. https://doi.org/10.1080/00207450701870378

    Article  PubMed  Google Scholar 

  18. Aramideh M, Ongerboer de Visser BW, Koelman JHTM, Majoie CBLand Holstege G. (1997) The late blink reflex response abnormality due to lesion of the lateral tegmental field. Brain 120:1685–1692. https://doi.org/10.1093/brain/120.9.1685

    Article  PubMed  Google Scholar 

  19. Morales STM, De Marcos JCP, Cortés OR, Mejía RF, Venegas MM, Vera YS et al (2022) Diabetic neuropathy: molecular approach a treatment opportunity. Vasc Pharmacol 143:106954. https://doi.org/10.1016/j.vph.2022.106954

    Article  CAS  Google Scholar 

  20. Costa YM, Karlsson P, Bonjardim LR, Conti PCR, Tankisi H, Jensen TS et al (2019) Trigeminal nociceptive function and oral somatosensory functional and structural assessment in patients with diabetic peripheral neuropathy. Sci Rep 9:169. https://doi.org/10.1038/s41598-018-37041-4

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. American Diabetes Association Professional Practice Committee (2022) 2. Classification and diagnosis of diabetes: standards of medical care in diabetes—2022. Diabetes Care 45(Suppl. 1):S17–S38. https://doi.org/10.2337/dc22-S002

    Article  Google Scholar 

  22. Ross BR, Fradet G, Nedzelski JM (1994) Development of a sensitive clinical facial grading system. Eur Arch Otorhinolaryngol:S180–S181. https://doi.org/10.1007/978-3-642-85090-5_63

  23. Bril V, Tomioka S, Buchanan RA, Perkins BA (2009) Complications, reliability and validity of the modified Toronto clinical neuropathy score in diabetic sensorimotor polyneuropathy. Diabet Med 26:240–246. https://doi.org/10.1111/j.1464-5491.2009.02667.x

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Udayashankar D, Premraj S, Mayilananthi K, Naragond V (2017) Applicability of Toronto clinical neuropathy scoring and its correlation with diabetic peripheral neuropathy: a prospective cross-sectional study. J Clin Diagn Res 11(12):OC10-OC13. https://doi.org/10.7860/JCDR/2017/30598.10986

    Article  Google Scholar 

  25. Preston DC, Shapiro BE (2013) Electromyography neuromuscular disorders: clinical–electrophysiologic correlations, 3rd edn. Elsevier Inc, pp 97–124. https://doi.org/10.1016/B978-1-4557-2672-1.00010-6

    Book  Google Scholar 

  26. Kazamel M, Dyck PJ (2015) Sensory manifestations of diabetic neuropathies: anatomical and clinical correlations. Prosthetics Orthot Int 39(1):716. https://doi.org/10.1177/0309364614536764

    Article  Google Scholar 

  27. Urban PP, Forst T, Lenfers M, Koehler J, Connemann BJ, Beyer J (1999) Incidence of subclinical trigeminal and facial nerve involvement in diabetes mellitus. Electromyogr Clin Neurophysiol 39(5):267–272

    CAS  PubMed  Google Scholar 

  28. Leventoğlu A, Oğuz AK, Ünal MZ (2009) Clinical utility of dorsal sural nerve conduction studies. J Neurol Sci 26(1):001–007 https://www.researchgate.net/publication/26594316

    Google Scholar 

  29. Trujillo-Hernández B, Huerta M, Pérez-Vargas D, Trujillo X, Vásquez C (2003) Blink reflex alterations in recently diagnosed diabetic patients. J Clin Neurosci 10(3):306–309. https://doi.org/10.1016/s0967-5868(02)00306-5

    Article  PubMed  Google Scholar 

  30. Burgess J, Frank B, Marshall A, Khalil RS, Ponirakis G, Petropoulos IN et al (2021) Early detection of diabetic peripheral neuropathy: a focus on small nerve fibres. Diagnostics 11:165. https://doi.org/10.3390/diagnostics11020165

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Xiao L, Zou K, Zhou D, Ouyang G, Liu S, Luo J (2021) Changes of blink reflex in type 2 diabetes mellitus. J Diabetes Res:2473193. https://doi.org/10.1155/2021/2473193

  32. Guney F (2012) Blink reflex alterations in various polyneuropathies. https://doi.org/10.5772/2627

  33. Contocostas C, Stamboulis E, Siafakas A, Papachristou D, Papageorgiou C (1986) Changes of blink reflex and visual evoked potentials in patients with diabetes mellitus. Electromyogr Clin Neurophysiol 26:597–603 (quoted from ref. 10)

    CAS  PubMed  Google Scholar 

  34. Feldman EL, Callaghan BC, Pop-Busui R, Zochodne DW, Wright DE, Bennett DL et al (2019) Diabetic neuropathy. Dis Prim 5:41. https://doi.org/10.1038/s41574-021-00496-z

    Article  Google Scholar 

  35. Lai YR, Huang CC, Chiu WC, Liu RT, Tsai NW, Wang HC et al (2020) The role of blink reflex R1 latency as an electrophysiological marker in diabetic distal symmetrical polyneuropathy. Clin Neurophysiol 131:34–39. https://doi.org/10.1016/j.clinph.2019.09.022

    Article  PubMed  Google Scholar 

  36. Shahine EM (2013) Subclinical brainstem involvement in peripheral polyneuropathies. Egypt Rheumatol Rehabil 40:159–164. https://doi.org/10.7123/01.ERR.0000431679.92739.4d

    Article  Google Scholar 

  37. El-Bardawil MM, El-Emary WS, El-Razek KA (2019) Blink reflex in early diagnosis of trigemino-facial pathway involvement in type ii diabetes mellitus patients with peripheral neuropathy. World J Med Sci 16(1):01–10. https://doi.org/10.5829/idosi.wjms.2019.01.10

    Article  CAS  Google Scholar 

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Acknowledgements

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Authors and Affiliations

Authors

Contributions

Conception and design of the study, HS, GY, and GT. Recruitment of patients, GT. Electrophysiology of the patients, WE. Data collection, GT. Analyzing and interpreting data, GT and WE. Manuscript preparation and revision, HS, GY, WE, and GT. The authors read and approved the final manuscript.

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Correspondence to Gihan Abd El Fattah Tawfik.

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Approval of study conduction was obtained from the Ethical Committee at the Faculty of Medicine Alexandria University FAW 00018699/020951. All patients included in this study gave written informed consent to participate in this research.

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Tawfik, G.A.E.F., Sultan, H.E.M., Younis, G.A.E.L. et al. Patterns of facial and blink reflex abnormalities in type 2 diabetes mellitus patients with short disease duration: a clue to subclinical cranial neuropathy. Egypt Rheumatol Rehabil 49, 51 (2022). https://doi.org/10.1186/s43166-022-00149-7

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