Literature DB >> 34785933

Prevalence and Clinical Significance of Subclinical Hypothyroidism in Diabetic Peripheral Neuropathy.

Mahmoud A Allam1, Youssef A Nassar1, Hosameldeen S Shabana1, Sadek Mostafa1, Farag Khalil1, Hendawy Zidan1, Mohammed Abo-Ghebsha2, Amir Abdelghaffar3, Ahmed Essmat3, Essam Elmahdi4.   

Abstract

BACKGROUND AND AIM: Diabetic peripheral neuropathy (DPN) is one of the most common and disabling complications of DM. Many studies documented the prevalence of clinical and subclinical hypothyroidism (SCH) in diabetic patients but not in the particular group of patients with DPN. The present study aimed to determine the prevalence of SCH in DPN patients and to evaluate its association with severity of DPN. PATIENTS AND METHODS: The present cross-sectional study was conducted on 300 consecutive patients with DPN. The clinical manifestations of DPN were documented according to the validated Arabic version of the Michigan Neuropathy Screening Instrument. Severity of DPN was categorized into mild (6-8 points), moderate (9-11 points) or severe (12+ points) according to the Toronto Clinical Scoring System. All patients were submitted to careful history-taking and full clinical and neurological examination. Patients were diagnosed with SCH if they had TSH level above the upper limit of the normal reference range in association with normal free thyroxine (FT4) level.
RESULTS: SCH was prevalent in 53 patients (17.7%, 95% CI: 13.5%-22.5%). Patients with SCH had significantly higher frequency of severe DPN (52.8% versus 28.3%, p=0.003). It was also shown that patients with SCH had significantly higher HbA1c (8.4 ± 1.0 versus 7.3 ± 1.2%, p<0.001) and HOMA-IR (3.7 ± 0.8 versus 2.7 ± 0.9, p<0.001) when compared with patients without SCH. Logistic regression analysis identified patients' age [OR (95% CI): 1.06 (1.03-1.08), p<0.001], HbA1c [OR (95% CI): 2.2 (1.7-2.9), p<0.001] and SCH [OR (95% CI): 7.7 (3.6-15.5), p<0.001] as independent predictors of DPN severity.
CONCLUSION: The present study showed that SCH is highly prevalent in DPN patients and is independently related to its severity.
© 2021 Allam et al.

Entities:  

Keywords:  diabetes mellitus; diabetic peripheral neuropathy; subclinical hypothyroidism; thyroid dysfunction; thyroid hormones

Year:  2021        PMID: 34785933      PMCID: PMC8579825          DOI: 10.2147/IJGM.S337779

Source DB:  PubMed          Journal:  Int J Gen Med        ISSN: 1178-7074


Introduction

Diabetes mellitus (DM) is one of the most significant global health epidemics, with nearly 1 in 11 adults worldwide having DM, mostly of type 2. The huge burden of the disease is related to long-term and devastating complications and the wide range of associated comorbidities.1 Among these morbidities, thyroid dysfunction is frequently reported in association with DM. On the other hand, DM is fairly common in patients with thyroid dysfunction.2 Many studies documented the prevalence of clinical and subclinical hypothyroidism (SCH) in diabetic patients3–6 and its relation to diabetic nephropathy.7,8 Diabetic peripheral neuropathy (DPN) is one of the most common and disabling complications of DM. DPN can present in acute or chronic forms affecting all segments of peripheral nerves from the originating root to the distal axon.9 Clinically, DPN is manifested by numbness, paresthesias and burning pain that proximally progresses across feet and hand in a stocking-glove distribution.10 The pathogenesis of DPN is quite complex. Suggested pathogenic mechanisms include mitochondrial dysfunction11 and Schwann cells apoptosis12 induced by hyperglycemia, dyslipidemia, insulin resistance, oxidative stress and the chronic inflammatory state related to DM.13 In spite of the marked progress achieved in management of DPN, the efficacy of available treatment options is far from optimal, and no disease-modifying drug exists. This is largely attributed to the fact that current treatment recommendations do not address the specific underlying pathogenic mechanisms. Thorough understanding of these mechanisms is essential for making significant progress in this field.14,15 The present study aimed to determine the prevalence of SCH in diabetic patients with DPN and to discover its relation to the clinical severity of the disease.

Methodology

The present cross-sectional study was conducted at the outpatient diabetes unit, Al-Azhar University Hospitals during the period from January 2019 through February 2020. The study protocol was approved by the ethical committee of Al-Azhar University Faculty of Medicine, and written informed consent was obtained from all participants in accordance with the Declaration of Helsinki on clinical research involving human subjects. The study included 300 consecutive patients with DPN. Diagnosis of DPN was established on the basis of nerve conduction studies (abnormal nerve conduction velocity of the sural or peroneal nerves) together with symptoms and signs of DPN. The clinical manifestations of DPN were documented according to the validated Arabic version of the Michigan Neuropathy Screening Instrument. The instrument includes a 15-item yes/no questionnaire in addition to physical examination.16,17 Patients were excluded if they had known thyroid disease or were receiving treatment that can modify thyroid function. Severity of DPN was categorized into mild (6–8 points), moderate (9–11 points) or severe (12+ points) according to the Toronto Clinical Scoring System (TCSS). TCSS is a validated peripheral neuropathy grading system that combines neurological symptoms scores, reflexes scores and sensory test scores.18 All patients had careful history-taking as well as full clinical and neurological examination. Laboratory work-up included complete blood count, fasting and postprandial blood glucose and fasting insulin levels. Insulin resistance was calculated using the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) using the equation: HOMA-IR=fasting insulin (U/L) × fasting glucose (mg/dL)/405. Glycemic control was assessed using HbA1c levels. Patients were diagnosed with SCH if they had a TSH level above the upper limit of the normal reference range in association with normal free thyroxine (FT4) level. The normal reference ranges of thyroid functions were: 0.27–4.5 µIU/mL for TSH and 0.93–1.7 ng/dL for FT4. Data obtained from the present study were expressed as number and percent or mean and standard deviation (SD). Prevalence was expressed as proportion and 95% CI. Categorical data were compared using Fisher’s exact test or chi-square test, while numerical data were compared using t-test. Logistic regression analysis was used to identify predictors of DPN severity. P value less than 0.05 was considered statistically significant. All statistical operations were processed using SPSS 25 (IBM, USA).

Results

Throughout the study period, there were 329 patients who fulfilled the clinical criteria of DPN. However, 29 patients were excluded. They comprised patients with other thyroid diseases (n=12) or those receiving medications that can affect thyroid functions (eg amiodarone, carbamazepine, etc.) (n=17). Finally, the study included 300 patients with DPN. There were 127 males (42.3%) and 173 females (57.7%) with an age of 52.9 ± 12.0 years. SCH was prevalent in 53 patients (17.7%, 95% CI: 13.5%–22.5%). Comparison between patients with SCH and patients without revealed that patients with SCH had significantly higher frequency of severe DPN (52.8% versus 28.3%, p=0.003) (Figure 1). It was also shown that patients with SCH had significantly higher HbA1c (8.4 ± 1.0 versus 7.3 ± 1.2%, p<0.001; Figure 2) and HOMA-IR (3.7 ± 0.8 versus 2.7 ± 0.9, p<0.001; Figure 3) when compared with patients without SCH (Table 1).
Figure 1

DPN severity in patients with and without SCH.

Figure 2

Glycemic control in patients with and without SCH.

Figure 3

Insulin resistance in patients with and without SCH.

Table 1

Comparison Between Patients with SCH and Patients Without Regarding the Clinical and Laboratory Data

All Patients N=300SCH +ve n=53SCH –ve n=247P value
Age (years) mean ± SD52.9 ± 12.052.3 ± 11.753.0 ± 12.10.69
Male/female n127/17320/33107/1400.46
BMI (kg/m2) mean ± SD33.0 ± 4.233.8 ± 3.932.8 ± 4.30.12
Duration of DM (years) mean ± SD9.4 ± 8.710.6 ± 9.89.2 ± 8.50.26
Associated comorbidities n (%)
 Smoking64 (21.3)15 (28.3)49 (19.8)0.17
 Hypertension213 (71.0)34 (64.2)179 (72.5)0.23
 IHD39 (13.0)7 (13.2)32 (13.0)0.96
 Stroke25 (8.3)6 (11.3)19 (7.7)0.39
Severity of DPN n (%)
 Mild130 (43.3)16 (30.2)114 (46.2)0.003
 Moderate72 (24.0)9 (17.0)63 (25.5)
 Severe98 (32.7)28 (52.8)70 (28.3)
Laboratory findings mean ± SD
 FBS (mg/dL)133.8 ± 21.2136.8 ± 14.9131.6 ± 21.70.097
 PPBS (mg/dL)189.9 ± 41.5193.2 ± 49.2189.2 ± 39.70.53
 Hb (g/dL)11.6 ± 2.011.3 ± 1.111.7 ± 2.10.083
 TLC (×103/mL)7.8 ± 1.98.1 ± 1.67.7 ± 2.00.14
 Platelets (×103/mL)265.4 ± 72.8282.0 ± 87.4261.8 ± 69.00.12
 Cholesterol (mg/dL)222.3 ± 41.5230.3 ± 34.6220.6 ± 42.80.13
 Triglycerides (mg/dL)218.2 ± 88.0233.5 ± 84.2217.1 ± 88.90.63
 HDL (mg/dL)43.7 ± 10.141.9 ± 9.444.1 ± 10.20.15
 LDL (mg/dL)129.7 ± 44.8135.3 ± 41.8128.6 ± 45.50.32
 HbA1c (%)7.5 ± 1.28.4 ± 1.07.3 ± 1.2<0.001
 HOMA-IR2.8 ± 1.03.7 ± 0.82.7 ± 0.9<0.001

Abbreviations: BMI, body mass index; FBS, fasting blood glucose; FT3, free triiodothyronine; FT4, free thyroxine; HDL, high-density lipoprotein; IHD, ischemic heart disease; LDL, low-density lipoprotein; PPBS, post-prandial blood sugar; SCH +ve, patients with subclinical hypothyroidism; SCH –ve, patients without subclinical hypothyroidism.

Comparison Between Patients with SCH and Patients Without Regarding the Clinical and Laboratory Data Abbreviations: BMI, body mass index; FBS, fasting blood glucose; FT3, free triiodothyronine; FT4, free thyroxine; HDL, high-density lipoprotein; IHD, ischemic heart disease; LDL, low-density lipoprotein; PPBS, post-prandial blood sugar; SCH +ve, patients with subclinical hypothyroidism; SCH –ve, patients without subclinical hypothyroidism. DPN severity in patients with and without SCH. Glycemic control in patients with and without SCH. Insulin resistance in patients with and without SCH. According to DPN severity, patients were classified into those with severe DPN (n=98) and non-severe (mild/moderate) DPN (n=202). Logistic regression analysis identified patients’ age [OR (95% CI): 1.06 (1.03–1.08), p<0.001], HbA1c [OR (95% CI): 2.2 (1.7–2.9), p<0.001] and SCH [OR (95% CI): 7.7 (3.6–15.5), p<0.001] as independent predictors of DPN severity (Table 2).
Table 2

Predictors of Severe DPN in the Studied Patients

Univariate AnalysisMultivariate Analysis
OR95% CIPOR95% CIP
Age1.061.03–1.08<0.0011.061.03–1.08<0.001
Sex0.580.35–0.960.0351.30.73–2.30.37
HbA1c1.81.4–2.2<0.0012.21.7–2.9<0.001
HOMA-IR0.790.61–1.020.071
SCH2.81.5–5.20.0017.73.6–15.5<0.001
Predictors of Severe DPN in the Studied Patients

Discussion

The present study assessed the prevalence of SCH in 300 consecutive patients with DPN. The study found that 53 patients (17.7%) had SCH. The prevalence of SCH was previously determined in patients with various diabetic complications including diabetic nephropathy8,19 and retinopathy.20–22 In the general population, one study reported SCH in 11.3% of the included subjects.23 In our study, patients with SCH had significantly higher frequency of cases with severe DPN when compared with patients without SCH. Multivariate analysis confirmed SCH as an independent predictor of DPN severity. The relation between SCH and DPN was previously reported in a Chinese cohort.24 The contribution of SCH to the pathogenesis of DPN can be explained by multiple mechanisms. First, SCH has been shown to increase oxidative stress.25,26 Augmented oxidative stress in turn is a well-known mechanism involved in the development of DPN as evidenced by experimental and clinical studies.27–29 Second, SCH has also been found to be associated with pronounced inflammatory state.30–33 The role of proinflammatory state in the pathogenesis of DPN is well-documented.34,35 A third mechanism that may interrelate SCH and DPN is dyslipidemia which was found to be associated with SCH36,37 and is considered as a risk factor for DPN.38–40 In addition, the current study recognized an association between SCH and poor glycemic control. These results are supported by the conclusions of Cho et al41 who noted that diabetic patients with poor glycemic control have higher risk for development of SCH. Moreover, we found that patients with SCH had significantly higher HOMA-IR levels. Such a relationship was previously reported in other diabetic patients.20 In fact, even in the general population, Kocatürk et al42 found a significant association between insulin resistance, impaired β-cell function and increased TSH levels. Our study suggests that SCH aggravates the pathogenic mechanisms related to DM and DPN that are consequences of the metabolic derangements induced by insulin resistance and hyperglycemia. It may be beneficial to screen all diabetic patients for SCH to prevent or limit significant neuropathic complications. In fact, the British and American Associations recommend screening of diabetic patients for thyroid abnormalities. However, the British recommendations restrict screening to the time of diagnosis43 while American guidelines44 recommend that patients older than 35 years should have thyroid assessments every 5 years. Probably, our findings are supportive of the American recommendations. Interestingly, the European Thyroid Association suggests that L-thyroxine may be tried if onset of SCH was associated with worsening of glycemic control.45 In conclusion, the present study showed that SCH is prevalent in DPN patients and suggests that SCH is independently related to its severity. These conclusions are limited by the cross-sectional study design. Longitudinal follow-up of patients would better determine onset and deterioration of SCH and its clinical impact. In addition, adding a control diabetic group without DPN would add to the study value. This may be more conclusive regarding the association between DPN development and SCH. Longitudinal studies with a larger sample size are recommended to allow generalization of our conclusions.
  44 in total

1.  Association between subclinical hypothyroidism and severe diabetic retinopathy in Korean patients with type 2 diabetes.

Authors:  Bo-Yeon Kim; Chul-Hee Kim; Chan-Hee Jung; Ji-Oh Mok; Kyo-Il Suh; Sung-Koo Kang
Journal:  Endocr J       Date:  2011-09-17       Impact factor: 2.349

2.  American Thyroid Association guidelines for detection of thyroid dysfunction.

Authors:  P W Ladenson; P A Singer; K B Ain; N Bagchi; S T Bigos; E G Levy; S A Smith; G H Daniels; H D Cohen
Journal:  Arch Intern Med       Date:  2000-06-12

3.  Association between subclinical hypothyroidism and diabetic nephropathy in patients with type 2 diabetes mellitus.

Authors:  Shinya Furukawa; Shin Yamamoto; Yasuhiko Todo; Kotatsu Maruyama; Teruki Miyake; Teruhisa Ueda; Tetsuji Niiya; Takatoshi Senba; Masamoto Torisu; Teru Kumagi; Syozo Miyauchi; Takenori Sakai; Hisaka Minami; Hiroaki Miyaoka; Bunzo Matsuura; Yoichi Hiasa; Morikazu Onji; Takeshi Tanigawa
Journal:  Endocr J       Date:  2014-08-07       Impact factor: 2.349

4.  Study on Subclinical Hypothyroidism and its Association with Various Inflammatory Markers.

Authors:  Gaurav Gupta; Preeti Sharma; Pradeep Kumar; Maliyannar Itagappa
Journal:  J Clin Diagn Res       Date:  2015-11-01

Review 5.  Diabetic peripheral neuropathy: advances in diagnosis and strategies for screening and early intervention.

Authors:  Dinesh Selvarajah; Debasish Kar; Kamlesh Khunti; Melanie J Davies; Adrian R Scott; Jeremy Walker; Solomon Tesfaye
Journal:  Lancet Diabetes Endocrinol       Date:  2019-10-14       Impact factor: 32.069

6.  Relationship between Diabetic Retinopathy and Subclinical Hypothyroidism: a meta-analysis.

Authors:  Jingyang Wu; Song Yue; Jin Geng; Limin Liu; Weiping Teng; Lei Liu; Lei Chen
Journal:  Sci Rep       Date:  2015-07-20       Impact factor: 4.379

7.  Serum Phospholipase A2-IIA, hs-CRP, and Lipids in Women With Subclinical Hypothyroidism.

Authors:  Mohammad Hossein Shojaei Nik; Masoud Darabi; Amir Ziaee; Fatemeh Hajmanoochehri
Journal:  Int J Endocrinol Metab       Date:  2014-06-10

8.  Association Between Thyroid Hormones, Lipids and Oxidative Stress Markers in Subclinical Hypothyroidism.

Authors:  Maureen Jepkorir Cheserek; Gui-Rong Wu; Arsene Ntazinda; Yong-Hui Shi; Li-Ye Shen; Guo-Wei Le
Journal:  J Med Biochem       Date:  2015-07-14       Impact factor: 3.402

9.  Association between type 2 diabetes mellitus and hypothyroidism: a case-control study.

Authors:  Anas Awad Alsolami; Khalid Z Alshali; Marwan Ahmad Albeshri; Shikih Hussain Alhassan; Abdalrhman Mohammed Qazli; Ahmed Saad Almalki; Marwan A Bakarman; Abdel Moniem Mukhtar
Journal:  Int J Gen Med       Date:  2018-12-04

10.  Association of thyroid peroxidase antibody and dyslipidemia in subclinical hypothyroidism.

Authors:  Vikas Kumar Srivastava; Harkaran Singh
Journal:  J Family Med Prim Care       Date:  2017 Jan-Mar
View more
  1 in total

1.  Evaluation of the Thyroid Characteristics and Correlated Factors in Hospitalized Patients with Newly Diagnosed Type 2 Diabetes.

Authors:  Yanli Li; Min Yi; Xiaoyi Deng; Wangen Li; Yimei Chen; Xiaodan Zhang
Journal:  Diabetes Metab Syndr Obes       Date:  2022-03-20       Impact factor: 3.168

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.