Literature DB >> 35068936

Median Nerve Affection in Hypertensive Patients with and without Diabetes High-Resolution Ultrasound Assessment.

Ahmed Esmat1, Mahmoud I Elshamy2, Doaa Mohamed Zakaria3, Zakarya Shady4, Eman Roshdy Mohamed3, Nashwa El-Khouly3, Marwa M Hassan3, Fatma M El-Senosy3.   

Abstract

PURPOSE: Diabetes is a documented risk factor for peripheral neuropathy. It was reported that associated hypertension could increase this risk. The present study aimed to assess the effect of hypertension and diabetes on median nerve using high-resolution ultrasound.
METHODS: The study includes 50 hypertensive patients (HTN group), 50 diabetic patients (DM group), 50 patients with coexisting diabetes and hypertension (HTN + DM group) and 50 healthy controls. Median nerve affection in the studied groups was studied by vibration perception thresholds (VPT). The median nerve cross-sectional area was determined at the nerve cross-sectional area of the median nerve at the carpal tunnel by high-resolution ultrasound. Clinical symptoms were assessed using Toronto Clinical Severity Score (TCSS).
RESULTS: There was significantly higher median nerve CSA in all patient groups in comparison to controls. HTN + DM group had significantly higher median nerve CSA when compared with DM group. Patients with peripheral neuropathy in HTN + DM and DM groups had significantly higher median nerve CSA than patients without. Using ROC curve analysis, it was shown that median CSA could successfully distinguish patients with peripheral neuropathy from patients without in HTN + DM group [AUC (95% CI): 0.71 (0.54-0.89)] and in DM group [AUC (95% CI): 0.86 (0.72-0.99)].
CONCLUSION: Hypertensive patients with and without diabetes have significantly higher median nerve CSA when compared with controls.
© 2022 Esmat et al.

Entities:  

Keywords:  diabetes mellitus; high-resolution ultrasound; hypertension; median nerve; peripheral neuropathy

Year:  2022        PMID: 35068936      PMCID: PMC8769048          DOI: 10.2147/DMSO.S340111

Source DB:  PubMed          Journal:  Diabetes Metab Syndr Obes        ISSN: 1178-7007            Impact factor:   3.168


Introduction

Hypertension (HTN) is the leading global risk factor for cardiovascular and all-cause mortality. While the wide use of antihypertensive medications resulted in near-constant global mean blood pressure in the past decades, the prevalence of HTN continues to rise in alarming rates. It’s estimated that more than 30% of adults were diagnosed with hypertension worldwide in 2010.1 Beyond the cardiovascular consequences, HTN is also related to chronic kidney disease and end-stage renal disease. Neurologically, HTN is by far, the main risk factor for cerebrovascular stroke.2 Also, HTN has been linked to age-related cognitive impairment and dementia.3 Coexistence of HTN and diabetes mellitus (DM) is a common encounter. More than two thirds of DM patients develop arterial HTN which aggravates the micro- and macrovascular complications in those patients. On the other side of the coin, DM in HTN patients is associated with increased risk for cardiovascular disease. Both conditions share many pathological mechanisms and inter-related consequences.4 However, while the literature is replete with studies investigating various aspects of pathogenesis, diagnosis and management of diabetic peripheral neuropathy (DPN),5,6 little is known about peripheral nerve affection related to hypertension per se. Interestingly, experimental studies suggested that hypertensive rats developed significant functional and structural peripheral nerve changes largely similar to that developed by diabetic rats. Moreover, it was reported that these changes were amplified by coexistence of the two conditions.7,8 In the clinical setting, HTN is widely reported as a significant risk factor of DPN.9,10 Recent developments in high-resolution ultrasound (HRUS) enabled clinicians to add sonographic imaging features of the peripheral nervous system to the clinical findings and electrophysiological data thus improving the diagnostic performance of many pathologies of the peripheral nerves.11 In patients with DPN, HRUS could detect significant increase in the cross-sectional area (CSA) of the affected peripheral nerves.12 The present study aimed to explore the effects of HTN on the median nerve in the presence or absence of DM.

Subjects and Methods

The present study was conducted at Al-Azhar University Hospitals, Cairo, Egypt in the period from January, 2019 through December, 2020. The study protocol was approved by the ethical committee of Al-Azhar Faculty of Medicine and informed consent was obtained from all participants. The study includes 50 hypertensive patients, 50 diabetic patients, 50 patients with coexisting diabetes and hypertension and 50 healthy controls. Hypertension was diagnosis according to the American College of Cardiology/American Heart Association 2017 guidelines.13 Diagnosis of T2DM was based on the American Diabetes Association recommendations for classification and diagnosis of diabetes.14 All groups were matched regarding age and sex distribution and patients’ groups were matched regarding the duration of the group’s clinical condition. Exclusion criteria were carpal tunnel syndrome, history of forearm or hand fractures or other causes of median nerve affection. All participants were subjected to careful history taking, thorough clinical examination and standard laboratory assessment including fasting blood sugar, HbA1c, lipid profile, renal functions and liver functions. Median nerve affection in the studied groups was studied electrophysiologically by vibration perception thresholds (VPT). The median nerve cross-sectional area was determined at the nerve cross-sectional area of the median nerve at the carpal tunnel by high-resolution ultrasound. Diagnosis of peripheral neuropathy (PN) if present was established on the basis of abnormal nerve conduction velocity together with symptoms and signs of PN. The clinical manifestations of PN were reported using the validated translated Arabic version of Michigan Neuropathy Screening Instrument. It’s a 15-item yes/no questionnaire in addition to clinical examination.15,16 For grading of PN severity, we used the Toronto Clinical Scoring System (TCSS) that integrates neurological symptoms and neurological testing scores. According to this tool, patients were classified to have mild, moderate or severe PN.18 Data obtained from the present study were expressed as number and percent or mean and standard deviation. Statistical comparisons were achieved using t test, Fisher’s exact test, or chi-square test. Correlations were performed using Pearson’s correlation coefficient. Receiver operator characteristic (ROC) curve analysis was used to identify the diagnostic performance of investigations under assessment. All statistical operations were computed using SPSS 25 (IBM, IL, USA) with p value less than 0.05 considered statistically significant.

Results

The present study was conducted on 50 hypertensive patients (HTN group), 50 hypertensive patients with coexisting type 2 diabetes (HTN + DM group), 50 diabetic patients (DM group) and 50 healthy controls. All groups were matched for age and sex distribution and the three patient groups were matched for disease duration. Comparison between the studied groups regarding the clinical and laboratory data is shown in Table 1. Patients in the HTN + DM group had higher frequency of cases with peripheral neuropathy when compared with patients in the DM only group without statistical significance (34.0% versus 22.0%, p=18). However, it was shown that HTN + DM group had significantly higher frequency of cases with severe neuropathy. It was also shown that HTN + DM and DM groups had significantly higher TCSS when compared with other groups. In addition, it was shown that patients in the HTN + DM and DM groups had significantly higher VPT values when compared with other groups (Table 1).
Table 1

Comparison Between the Studied Groups Regarding the Clinical Data

HTN N=50HTN + DM N=50DM N=50Controls N=50P value
Age (years) mean ± SD50.9 ± 8.753.8 ± 14.555.6 ± 13.949.9 ± 12.20.09
Male/female n25/2531/1929/2127/230.65
BMI (kg/m^2) mean ± SD29.4 ± 5.829.1 ± 6.830.7 ± 6.827.3 ± 5.90.16
Disease duration (years) mean ± SD12.7 ± 11.714.1 ± 7.412.1 ± 6.00.52
Associated morbidities n (%)
IHD7 (14.0)13 (26.0)#4 (8.0)0.044
COPD3 (6.0)2 (4.0)5 (10.0)0.47
Retinopathy4 (8.0)8 (16.0)7 (14.0)0.46
Nephropathy3 (6.0)9 (18.0)5 (10.0)0.16
Neuropathy17 (34.0)11 (22.0)0.18
Severity of neuropathy
Mild1 (2.0)4 (8.0)0.027
Moderate3 (6.0)4 (8.0)
Severe13 (26.0)3 (6.0)
SBP (mmHg) mean ± SD149.2 ± 17.2 *#$158.3 ± 22.4 #$114.9 ± 9.0113.4 ± 7.9<0.001
DBP (mmHg) mean ± SD95.9 ± 7.5 *#$97.4 ± 11.2 #$74.5 ± 5.476.4 ± 3.7<0.001
TCSS mean ± SD2.9 ± 1.6 *#6.8 ± 4.9 #$4.7 ± 3.4 $2.8 ± 1.9<0.001
FBS (mg/dl) mean ± SD90.6 ± 10.7 *#218.5 ± 83.1 #$168.4 ± 43.3 $93.9 ± 10.4<0.001
Cholesterol (mg/dl) mean ± SD184.4 ± 22.0 *#$265.3 ± 114.8 $256.6 ± 41.9 $158.1 ± 11.7<0.001
Triglycerides (mg/dl) mean ± SD229.1 ± 28.8 *$271.8 ± 101.6 #$238.5 ± 37.4 $178.5 ± 18.2<0.001
HbA1c (%) mean ± SD5.0 ± 0.6 *#9.5 ± 1.6 #$10.1 ± 1.4 $4.7 ± 0.4<0.001
VPT (V) mean ± SD13.8 ± 4.4 *#$21.9 ± 7.8 #$18.3 ± 7.3 $10.2 ± 4.5<0.001
Median nerve CSA mean ± SD8.7 ± 0.9 *#$11.7 ± 1.9 #$10.3 ± 1.6 $8.0 ± 0.6<0.001

Notes: Data presented as number and percent or mean ± SD. *significant results versus HTN + MD group, #significant results versus DM group, $ significant results versus controls.

Abbreviations: COPD, chronic obstructive pulmonary disease, DBP, diastolic blood pressure, FBS, fasting blood sugar, IHD, ischemic heart disease, SBP, systolic blood pressure, TCSS, toronto clinical severity score, VPT, vibration perception thresholds.

Comparison Between the Studied Groups Regarding the Clinical Data Notes: Data presented as number and percent or mean ± SD. *significant results versus HTN + MD group, #significant results versus DM group, $ significant results versus controls. Abbreviations: COPD, chronic obstructive pulmonary disease, DBP, diastolic blood pressure, FBS, fasting blood sugar, IHD, ischemic heart disease, SBP, systolic blood pressure, TCSS, toronto clinical severity score, VPT, vibration perception thresholds. In the present study, comparison between the studied groups regarding the median nerve CSA at the carpal tunnel revealed significantly higher median nerve CSA in all patients’ groups in comparison to controls. Moreover, it was shown that HTN + DM group had significantly higher median nerve CSA when compared with DM group. Interestingly, patients in the HTN only group had significantly higher median nerve VPT and CSA when compared with controls (Table 1, Figure 1).
Figure 1

Median nerve CSA in the studied groups.

Median nerve CSA in the studied groups. Of note, it was also shown that patients with peripheral neuropathy in HTN + DM and DM groups had significantly higher median nerve CSA than patients without (12.9 ± 2.4 versus 11.1 ± 1.1, p=0.008 and). Using ROC curve analysis, it was shown that median CSA could successfully distinguish patients with peripheral neuropathy from patients without in HTN + DM group [AUC (95% CI): 0.71 (0.54–0.89)] (Figure 2) and in DM group [AUC (95% CI): 0.86 (0.72–0.99)] (Figure 3).
Figure 2

ROC curve for median nerve CSA distinguishes patients with peripheral neuropathy in HTN + DM group.

Figure 3

ROC curve for median nerve CSA distinguishes patients with peripheral neuropathy in DM group.

ROC curve for median nerve CSA distinguishes patients with peripheral neuropathy in HTN + DM group. ROC curve for median nerve CSA distinguishes patients with peripheral neuropathy in DM group. Correlations between median nerve CSA and the clinical and laboratory data in the studied groups are shown in Table 2. Remarkably, in HTN group, median nerve CSA showed significant direct correlation with VPT. In HTN + DM group, median nerve CSA had significant direct correlation with TCSS, HbA1c and VPT. In DM group, median nerve CSA had significant direct correlation with disease duration, TCSS and VPT.
Table 2

Correlation Between Median Nerve CSA and Clinical Data in the Studied Patients

HTNHTN + DMDM
rprprp
Age0.150.3−0.250.080.050.73
BMI0.060.66−0.10.510.020.91
Disease duration−0.120.390.10.490.290.043
SBP−0.10.5−0.010.940.080.58
DBP0.010.940.140.340.150.31
TCSS0.080.570.59<0.0010.52<0.001
FBS−0.140.330.230.1−0.070.61
Cholesterol0.190.19−0.10.480.130.39
Triglycerides−0.130.37−0.070.620.120.39
HbA1c (%)−0.090.550.330.018−0.130.38
VPT (V)0.440.0020.390.0050.460.001

Abbreviation: HbA1c, glycosylated hemoglobin.

Correlation Between Median Nerve CSA and Clinical Data in the Studied Patients Abbreviation: HbA1c, glycosylated hemoglobin.

Discussion

The association between hypertension and development of DPN was previously reported in type 117,19 and type 2 diabetic patients.20–22 The present study provided a high-resolution ultrasound demonstration of the effect of hypertension on peripheral nerves in patients with and without associated DM. The study found significantly higher median nerve CSA in all patients groups in comparison to controls. Moreover, it was shown that HTN + DM group had significantly higher median nerve CSA when compared with DM group. To the best of our knowledge, this is a novel finding that may help to understand the role of hypertension in development of DPN. The value of median nerve ultrasonographic assessment in the diagnosis of peripheral neuropathy was previously established.23 Also, the study of Su et al24 recognized the role of median nerve CSA assessed by ultrasound at the pisiform level in identification of subclinical peripheral neuropathy. In line with our findings, the study of Legrady et al25 identified increased perception threshold values on peroneal nerve in hypertensive non-diabetic patients in comparison to healthy controls supporting the vascular roles in the development of DPN. The altered physiology of median nerve in diabetic patients was reported by the study of Horinouchi et al.26 In agreement with these conclusions, the study of Attah et al27 noted that a significant increase in median nerve CSA at the carpal tunnel in diabetic patients and the presence of DPN resulted in further increase in median nerve CSA. However, they noted no association between median nerve CSA and glycemic control or disease duration. Interestingly and in support of our work, the experimental study of Gregory et al8 found that hypertension superimposed on diabetes augments the detrimental effects of diminished nerve blood flow, slow nerve conduction, axonal atrophy and thinning of myelinated fibers. These findings were confirmed by the study of De Visser et al.7 The present study may have significant clinical implications. Our study indicates that increased median nerve CSA in diabetic and hypertensive patients usually precedes the development of clinically manifest PN. For peripheral nerve affection, this is known as subclinical neuropathy by some authors. Considering the significant burden of DPN, early detection using HRUS may be useful for early control of the predisposing factors particularly in high-risk patients. Moreover, the present study identified median nerve affection in HTN patients in the absence of DM. This new finding needs more exploration to identify the possible risk factors and the probable outcome in the long-term. Conclusively, our study reported significant increase in median nerve CSA in HTN and DM patients as detected by HRUS. These changes are related to the clinical manifestations and are worsened when the two conditions co-exist.
  25 in total

1.  Hypertension and sensorimotor peripheral neuropathy in type 2 diabetes.

Authors:  E A Jarmuzewska; A Ghidoni; A A Mangoni
Journal:  Eur Neurol       Date:  2006-12-15       Impact factor: 1.710

2.  Hypertension-A Global Neurological Problem.

Authors:  Jerome H Chin; Jaydeep M Bhatt; Alexandra J Lloyd-Smith
Journal:  JAMA Neurol       Date:  2017-04-01       Impact factor: 18.302

Review 3.  Neuromuscular Ultrasound: Clinical Applications and Diagnostic Values.

Authors:  Jean K Mah; Nens van Alfen
Journal:  Can J Neurol Sci       Date:  2018-11       Impact factor: 2.104

Review 4.  Mediators of diabetic neuropathy: is hyperglycemia the only culprit?

Authors:  Anna Grisold; Brian C Callaghan; Eva L Feldman
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2017-04       Impact factor: 3.243

Review 5.  2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.

Authors:  Paul K Whelton; Robert M Carey; Wilbert S Aronow; Donald E Casey; Karen J Collins; Cheryl Dennison Himmelfarb; Sondra M DePalma; Samuel Gidding; Kenneth A Jamerson; Daniel W Jones; Eric J MacLaughlin; Paul Muntner; Bruce Ovbiagele; Sidney C Smith; Crystal C Spencer; Randall S Stafford; Sandra J Taler; Randal J Thomas; Kim A Williams; Jeff D Williamson; Jackson T Wright
Journal:  Hypertension       Date:  2017-11-13       Impact factor: 10.190

Review 6.  Diabetic neuropathy.

Authors:  Eva L Feldman; Brian C Callaghan; Rodica Pop-Busui; Douglas W Zochodne; Douglas E Wright; David L Bennett; Vera Bril; James W Russell; Vijay Viswanathan
Journal:  Nat Rev Dis Primers       Date:  2019-06-13       Impact factor: 52.329

7.  Hypertension as a risk factor for diabetic neuropathy: a prospective study.

Authors:  K Y Forrest; R E Maser; G Pambianco; D J Becker; T J Orchard
Journal:  Diabetes       Date:  1997-04       Impact factor: 9.461

8.  Peripheral neuropathy, hypertension, foot ulcers and amputations among Saudi Arabian patients with type 2 diabetes.

Authors:  J V Nielsen
Journal:  Diabetes Res Clin Pract       Date:  1998-07       Impact factor: 5.602

9.  Median neuropathy at the wrist as an early manifestation of diabetic neuropathy.

Authors:  Shuji Horinouchi; Takahisa Deguchi; Kimiyoshi Arimura; Aiko Arimura; Yukari Dochi; Tadashi Uto; Tomonori Nakamura; Yumiko Arimura; Yoshihiko Nishio; Hiroshi Takashima
Journal:  J Diabetes Investig       Date:  2014-03-28       Impact factor: 4.232

10.  Hypertension Contributes to Neuropathy in Patients With Type 1 Diabetes.

Authors:  Georgios Ponirakis; Ioannis N Petropoulos; Uazman Alam; Maryam Ferdousi; Omar Asghar; Andrew Marshall; Shazli Azmi; Maria Jeziorska; Ziyad R Mahfoud; Andrew J M Boulton; Nathan Efron; Hitoshi Nukada; Rayaz A Malik
Journal:  Am J Hypertens       Date:  2019-07-17       Impact factor: 2.689

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