Introduction

Many modifiable cardiovascular disease (CVD) risk factors are under the umbrella of metabolic syndrome (MetS) definition. Hypertension (HTN), dyslipidemia (DLP), insulin resistance, and abdominal obesity are considered as traditional CVD risk factors and MetS traits. The first National Cholesterol Education Program- Adult Treatment Panel (ATP III) guidelines were developed in 2001 and updated in 2005. It explicitly focused on cardiovascular hazards of different MetS traits,containing the following criteria: Abdominal obesity, defined as a waist circumference (WC) >102 cm in males and >88 cm in females, serum triglycerides (TG) ≥150 mg/dL or normal values under treatment, serum high density lipoprotein cholesterol (HDL-C) <40 mg/dL in males and <50 mg/dL in females or normal values under treatment, blood pressure (BP) >130/85 mmHg or controlled BP under antihypertensive treatment, fasting blood sugar (FBS) ≥100 mg/dL or drug treatment for the elevated blood glucose (1). The high prevalence of MetS in the developed countries, 25% in recent reports, and its adverse contribution to atherosclerosis development (2) has made it an important public health issue.

The prevalence of obesity and its related comorbidities is surprisingly increasing and is considered a global epidemic. The probability of lifetime overweight and obesity is 50% and 25% in the United States, respectively (3). Abdominal obesity, a big concern in patients with MetS, is discussed in the literature as a marker of CVD incidence (4). WC is the representative of abdominal obesity in ATPIII definition for MetS.

The pathophysiological effect of thyroid function on lipid and glucose metabolisms, blood pressure, and CVD were reported (5) and subclinical hypothyroidism was associated with MetS in previous studies (6, 7). Indeed, the relation between thyroid stimulating hormone (TSH) and MetS components is investigated. Most cardiovascular events occur in euthyroid patients (5); hence, the study of association between TSH levels and cardiovascular risk factors and MetS traits is still on the table. In recent studies, the positive relationship between high amounts of TSH level within normal range (upper normal limits) and CVD risk factors are shown (8, 9).

High-sensitivity C-reactive protein (hs-CRP) as a cardinal marker of systemic inflammation seems to be related to atherosclerosis and CVD (10). In a previous study in the Japanese population, hs-CRP was suggested as another criterion for MetS (11).

The present study aimed to evaluate the relationship between TSH levels within normal range and MetS and its components in euthyroid patients with body mass index (BMI) >25 kg/m².

Materials and Methods

The current cross sectional study selected 82 patients with overweight and obesity from the day clinic of Imam Khomeini Hospital Complex from June to August 2015. They were all struggling with obesity complications and willing to take a stable diet. Basic and demographic features were recorded according to the researcher made questionnaire. A trained examiner evaluated the patients' blood pressure (mmHg), weight (kg), height (meter) and WC (cm). Weight with a light clothing and height without shoes were measured and BMI was calculated as weight divided by height squared (kg/m²). Non-stretchable tape around the waist at the level of the iliac crest and at the end of normal expiration was used to define WC. Blood samples were obtained after an overnight fast of at least 10 hours. Laboratory tests included lipid profile (total cholesterol (TC), HDL, low density lipoprotein (LDL) and TG), FBS, and hs-CRP.

The blood samples were stored at -80°C at the Imam Khomeini Hospital Complex laboratory to measure thyroid function test (TFT). In the current study, normal ranges for TFT were as follows: 0.5< TSH <5 (mIU/L), 4.5< total T4 <11.5 (ng/dL) and 75< total T3<200 (ng/dL), using the automated immune chemiluminescent assay (ICMA) kits (Abbott, IL, USA). Cut off values and MetS criteria were according to ATP III MetS definition. Patients with 3 or more traits were considered to have MetS. The study protocol was approved by the Ethics Committee of Tehran University of Medical Sciences. Furthermore, informed consent was taken from patients before evaluating their profile.

Statistical Analysis:

The data were analyzed by SPSS software version 14 (SPSS Inc., Chicago, IL, USA). Categorical variables were reported as frequencies and compared by Pearson Chi-square test. Continuous variables were evaluated and compared using independent sample t test. The mean±SD was calculated for each variable and P-value <0.05 was assumed as significant. To evaluate the effect of 1 unit increase in each quantitative variable on the odds of the outcome, linear and logistic regression was applied.

 The quantitative parameter of interest (TSH level) was categorized in quartiles. Also, Pearson correlation coefficient was applied to assess the relationship between quantitative variables.

Results:

Basic and demographic features of all 82 patients are depicted in Table 1.

Patients with 3 or more criteria of MetS were classified in Group1 (MetS) and patients with 0, 1 or 2 criteria in Group2 (non-MetS). Mean±SD age of the patients was 42.10±10.19 years (maximum 70 and minimum 23 years old). Fifty-five patients were male, with the mean±SD age of 39.8±9.68 years. Female patients were older than the male ones (46.7 vs. 39.8, P-value=0.004). TG, BP, WC, BMI, hs-CRP, and age were significantly higher in Group 1. Although patients with MetS had greater TSH level, it was not statistically significant between the groups (P-value=0.636). Two patients had one, 25 patients had two, 38 patients had three, 19 patients had four and 8 patients had 5 MetS criteria. MetS criteria are shown and compared based on gender subgroups in Table 2. All the female patients with MetS had the WC >102 cm.

Table 1.Basic and Demographic Features, MetS, and Non-MetS in the Patients (n=82)

^a Waist circumference; ^b Triglyceride; ^cHigh density lipoprotein; ^dFasting blood sugar; ^eHypertension; ^f Body mass index; ^g Thyroid stimulating hormone; ^hTriiodothyronine; ^IThyroxine;
 ^j high-sensitivity C-reactive protein; ^* Significant P-value

Table 2.MetS Criteria in Group 1 (n=55)

*or Under treatment, **Significant p-value

SBP, systolic blood pressure; DBP, diastolic blood pressure; HDL, high density lipoprotein; TG, triglyceride; WC, waist circumference; FBS, Fasting blood sugar

The most prevalent metabolic criterion was low HDL. HTN was more likely to be a MetS criterion in male patients rather than the female ones (P-value=0.018); however, no significant difference was observed between males and females regarding other MetS criteria. Univariate linear regression was applied to assess the relationship between TFT and the outcome of the interest. T4 and T3 had There was a reverse, but statistically insignificant, relationship between T4 and T3, and MetS (P-values = 0.31 and 0.42, respectively). To check the association between high TSH levels (in upper normal range), TSH was grouped in quartiles (Table 3).

The uppermost quartile was compared with other groups in terms of odds ratio in binary logistic regression. Euthyroid patients with TSH levels in the range 3.88-5 mIU/L, had 5.89 (95% confidence interval (CI) = 1.02 to 17.64) times higher risk of developing MetS than other TSH ranges. The 3 TFT parameters were included in multivariate binary logistic regression, the TSH uppermost quartile was still significantly related to the outcome (OR=4.11, P-value=0.049); however, after adjustment for age, this relationship became insignificant (OR=2.97, 95% CI= 0.51 to 17.2). To appraise the association between TSH level and MetS criteria, univariate linear regression was applied. There was no significant relationship between TSH and lipid profile or WC in the current study (P-value = 0.32, 0.43, 0.23 and 0.54 for TG, TC, HDL and WC, respectively). Independent sample t test was used to compare diastolic blood pressure (DBP) between groups 1 and 2. In MetS group, patients had significantly higher DBP than the ones in non-MetS group (86.02 vs. 80.48 mmHg, P-value=0.031). Pearson correlation coefficient indicated insignificant relationship between hs-CRP and TSH level (-0.005, P-value=0.98). The relationship between 2.5 < TSH <5 mIU/L and HDL <50 mg/dL was significant in the current study (Pearson Chi-square n= 2.3, P-value = 0.049).

Table 3. TSH levels in quartiles

*reference group in univariate binary logistic regression

TSH, thyroid stimulating hormone; MetS, metabolic syndrome

TSH normal range: 0.5-5 mIU/L