Literature DB >> 34163196

Associations of Thyroid Hormone Levels and Macrovascular Complications in Euthyroid Type 2 Diabetic Patients.

Yonghui Hu1, Zhiyue Yan1, Congqing Pan1.   

Abstract

PURPOSE: The purpose of this study is to evaluate whether thyroid hormone in euthyroid patients with type 2 diabetes mellitus (T2DM) is associated with macrovascular complications. PATIENTS AND METHODS: The authors examined 311 patients enrolled from February 2019 to December 2019 in Tianjin Medical University Chu Hsien-I Memorial Hospital. A medical record review enabled the collection of demographic and anthropometric information. We classified the patients into two groups based on the echocardiography and vascular ultrasonography results, namely, non-macrovascular complications (n=131) group and macrovascular complications (n=180) group. Odds ratios (OR) and 95% confidence intervals (CI) were calculated, adjusting for potential confounders, the prevalence of macrovascular complications was determined using multivariate logistic regression.
RESULTS: A significant association was observed for diabetic macrovascular complications with normal free triiodothyronine (FT3) (OR=0.534, 95% CI 0.358-0.796, p = 0.002) and free thyroxine (FT4) (OR= 0.844, 95% CI 0.760-0.937, p = 0.001). Nevertheless, there was no evidence of any association between thyroid-stimulating hormone (TSH) and the development of diabetic macrovascular complications. When stratified by the body mass index (BMI), a similar relationship existed with the overall results. The positive association remained in restricted analyses involving only patients with HbA1c abnormalities.
CONCLUSION: Overweight or obese T2DM patients are at high risk due to the implicit association between low but clinically normal thyroid hormone levels and elevated risk of macrovascular complications. However, there were no statistically significant associations between TSH and diabetic macrovascular complications.
© 2021 Hu et al.

Entities:  

Keywords:  T2DM; macrovascular complications; thyroid hormone; type 2 diabetes mellitus

Year:  2021        PMID: 34163196      PMCID: PMC8214540          DOI: 10.2147/DMSO.S313803

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


Introduction

Diabetes mellitus (DM) is classified under the group of chronic metabolic diseases. Generally, DM is characterized by hyperglycemia. Besides the impact on the patients’ quality of life, DM causes a significant financial burden on patients and the global healthcare system. According to the International Federation of Diabetes, the global number of diabetic people has increased to 425 million, of which 5–10% are T1DM patients and 90–95% are T2DM patients.1 In 2017, the prevalence of DM in China was 10.9% among adults.2 Inappropriate therapy or poor alimentary control of DM patients often leads to life-threatening chronic complications, such as diabetic nephropathy, neuropathy, retinopathy, and cardiomyopathy. In China, nearly 46% of outpatients with T2DM have a history of microvascular complications, 10% have cerebrovascular diseases, and 15% have cardiovascular disease.3 Generally, these chronic complications are divided into two categories: microvascular complications mainly in the kidneys, the eyes, and the nervous system and macrovascular complications primarily involving cardiovascular conditions, such as coronary, cerebrovascular, and peripheral arterial diseases. The pathophysiology of diabetic complications has not been completely elucidated. However, several clinical studies have revealed some risks, such as duration of diabetes,4 hypertension,5 the range of HbA1c, glycaemic control, dyslipidaemia, lifestyle,6 smoking, vitamin D deficiency, cystatin C,7 etc. The clinical significance of thyroid hormones is widely recognized for the role in organism physiology and functional development. Therefore, scholars began studying the association between thyroid hormones and cardiovascular disease. In a recent study by Asvold et al8 it was demonstrated that thyrotropin levels within the reference range in women were positively and linearly related to the mortality due to coronary heart disease (CHD). Jung et al9 proposed that higher serum free thyroxine levels have a positive correlation with coronary artery disease. Recently, scholars have started paying attention to the impact of thyroid hormones (THs) on diabetic complications. Several clinical studies have demonstrated that thyroid dysfunction is related to diabetic complications. Subsequentially, more recent studies have extended the association into the euthyroid states. However, these studies have primarily focused on the association between thyroid hormones and diabetic microvascular complications.7,10,11 Only a few researchers have studied whether thyroid hormone levels elevate the risk of diabetic macrovascular complications. The present retrospective study explores the association between macrovascular complications and thyroid functions in euthyroid T2DM patients. The conclusions will enrich the existing literature and generate fresh insights for future studies.

Patients and Methods

Study Population

We retrospectively recruited 311 T2DM patients (180 women and 131 men) at Tianjin Medical University Chu Hsien-I Memorial Hospital from February 2019 to December 2019. The patients were diagnosed based on the criteria of the American Diabetes Association standard.12 The following exclusion criteria were considered: acute complications of diabetes, history of hypothalamus or pituitary diseases, current malignancy, pregnancy, nondiabetic cardiovascular or cerebrovascular problems, urinary tract infection, under any medication that affects thyroid function, missing essential relevant information, autoimmune thyroid diseases and a history of macrovascular related diseases before the diagnosis of diabetes.

Data Collection

The collected demographic and anthropometric parameters include age, sex, diabetes duration, cardiovascular or cerebrovascular disease history, and history of other diseases. Following overnight fasting, venous blood was drawn from each patient to examine the following laboratory parameters: total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), very low-density lipoprotein cholesterol (VLDL-C), glycosylated hemoglobin (HbA1c), free triiodothyronine (FT3), free thyroxine (FT4), and thyroid-stimulating hormone (TSH) levels. The height, body weight, and blood pressure (BP) of all participants were measured. The same physician measured the BP in a seated position after a rest period of more than 5 min. Normal thyroid function was defined as thyroid hormones in the normal range which was included in this study. The nominal reference range of thyroid hormones is TSH (0.56–5.91 μIU/mL), FT3 (3.28–6.47 pmol/L), and FT4 (7.64–16.03 pmol/L). Macrovascular complications were identified as atherosclerosis of the aorta, coronary, basilar, lower limb arteries or carotid arteries based on the diagnoses of echocardiography and vascular ultrasonography.

Statistical Analysis

In the present study, IBM SPSS26.0 software (SPSS, Inc., Chicago, IL, USA) for Windows was used for all statistical analysis. Each continuous variable was examined for normal distribution. Continuous variables with a normal distribution were presented as the mean (standard deviation, SD). Meanwhile, nonnormal-distributed variables were summarized as the median (interquartile range, IQR). Student’s t-test or Mann–Whitney U-test was performed to compare differences in the variables between two groups as appropriate. Moreover, categorical variables are reported as frequency, and intergroup comparisons were conducted using the Chi-square test. Odds ratios (OR) and 95% confidence intervals (CI) were calculated with multivariate logistic regression to assess the independent associations of thyroid hormones and diabetic macrovascular complications while adjusting for potential confounders (model 1: adjusted for age and sex; model 2: adjusted for all confounders). Since BMI could influence the association between thyroid hormones and diabetes complications, we calculated the stratum-specific ORs for normal or underweight patients (BMI<25) and overweight or obese patients (BMI≥25) to test the effect modification by BMI. Based on the correlations between HbA1c and the development of atherosclerosis in T2DM patients demonstrated in previous researches,13 patients with normal HbA1c (<6.0%) were rarely encountered in our study (only 26 patients). Hence, we performed sensitivity analyses by excluding patients with normal HbA1c.

Results

Our study included a total of 365 patients enrolled from February 2019 to December 2019. Of these cases, 35 cases were excluded owing to preexisting macrovascular complications. Furthermore, 19 cases were missing macrovascular examination reports. Therefore, 311 patients were included in the final analysis. According to the results from macrovascular examinations, 131 patients (42.1%) were categorized as normal and 180 patients (57.9%) were categorized with macrovascular complications. Table 1 presents the baseline characteristics of the patients.
Table 1

Demographical and Clinical Characteristics of the Study Population with and without Macrovascular Complications

Patients Not Stratified by BMI
CharacteristicsTotal (n=311)Non-Macrovascular Complications (n=131)Macrovascular Complications (n=180)P value
Age (years)56 (12)54 (15)58 (13)<0.01
Sex (male/female)180/13181/5099/810.228
Duration of T2DM (years)8.00 (12.00)6.00 (10.00)10.00 (12.00)0.001
SBP (mmHg)130 (30)130 (20)138 (30)0.043
DBP (mmHg)80 (12)80 (12)80 (10)0.347
BMI (Kg/mm2)26.51 ± 3.9826.06 ± 3.9926.85 ± 3.960.085
TSH (mIU/L)1.83 (0.66)1.89 (0.88)1.79 (0.68)0.254
FT3 (pmol/L)4.42 (0.94)4.58 (0.83)4.30 (0.99)0.002
FT4 (pmol/L)12.53 (4.20)13.47 (3.12)12.27 (5.49)0.001
HbA1c (%)8.90 (3.10)9.16 (3.00)8.70 (2.70)0.009
TG (mmol/L)1.89 (1.50)2.25 (1.46)1.70 (1.53)0.055
TC (mmol/L)5.08 (1.35)5.08 (1.02)5.08 (1.56)0.435
HDL-C (mmol/L)1.17 (0.31)1.13 (0.33)1.17 (0.30)0.025
LDL-C (mmol/L)3.26 (1.00)3.26 (0.83)3.24 (1.19)0.244
VLDL-C (mmol/L)0.63 (0.34)0.66 (0.32)0.60 (0.34)0.072
Insulin therapy (yes/no)217/9491/40126/540.919
Patients with BMI<25 Kg/mm2
CharacteristicsTotal (n=81)Non-Macrovascular Complications (n=42)Macrovascular Complications (n=39)P value
Age (years)55.95 ± 10.3251.48 ± 10.8560.77 ± 7.16<0.01
Sex (male/female)45/3625/1720/190.456
Duration of T2DM (years)6.00 (11.00)5.00 (9.50)9.00 (13.00)0.131
SBP (mmHg)130 (24)122.50 (21)130 (30)0.069
DBP (mmHg)80 (11)80 (13)80 (10)0.528
BMI (Kg/mm2)21.68 ± 1.7721.68 ± 1.8121.68 ± 1.760.997
TSH (mIU/L)1.93 (0.77)1.91 (0.88)1.93 (0.76)0.510
FT3 (pmol/L)4.42 ± 0.704.56 ± 0.644.27 ± 0.750.059
FT4 (pmol/L)12.75 (3.85)13.85 (3.27)12.27 (5.20)0.030
HbA1c (%)9.16 (4.00)9.16 (4.02)9.40 (4.00)0.493
TG (mmol/L)1.51 (1.51)1.54 (1.49)1.50 (1.34)0.653
TC (mmol/L)5.07 (1.18)5.08 (0.71)4.97 (1.78)0.613
HDL-C (mmol/L)1.20 (0.40)1.20 ± 0.251.27 ± 0.300.258
LDL-C (mmol/L)3.26 (1.13)3.26 (0.72)3.25 (1.29)0.577
VLDL-C (mmol/L)0.55 (0.29)0.56 (0.27)0.50 (0.31)0.519
Insulin therapy (yes/no)56/2527/1529/100.327
Patients with BMI≥25 Kg/mm2
CharacteristicsTotal (n=230)Non-Macrovascular Complications (n=89)Macrovascular Complications (n=141)P value
Age (years)56 (12)54 (16)58 (12)0.001
Sex (male/female)135/9556/3379/620.301
Duration of T2DM (years)10.00 (12.00)7.00 (10.50)10.00 (12.00)0.006
SBP (mmHg)135.5 (26)130 (20)140 (28)0.356
DBP (mmHg)80 (10)80 (10)80 (10)0.725
BMI (Kg/mm2)27.58 (3.70)27.56 (3.73)27.60 (3.59)0.704
TSH (mIU/L)1.82 (0.64)1.89 (0.95)1.76 (0.65)0.315
FT3 (pmol/L)4.45 (0.94)4.58 (0.81)4.30 (0.93)0.011
FT4 (pmol/L)12.37 (4.25)13.31 (3.09)12.27 (5.59)0.006
HbA1c (%)8.70 (2.70)9.16 (2.50)8.50 (2.70)0.001
TG (mmol/L)2.10 (1.66)2.39 (1.60)1.76 (1.66)0.012
TC (mmol/L)5.08 (1.43)5.08 (1.11)5.08 (1.61)0.490
HDL-C (mmol/L)1.15 (0.30)1.10 (0.32)1.17 (0.30)0.017
LDL-C (mmol/L)3.25 (1.00)3.26 (0.89)3.23 (1.14)0.256
VLDL-C (mmol/L)0.66 (0.34)0.66 (0.27)0.61 (0.37)0.043
Insulin therapy (yes/no)161/6964/2597/440.616

Note: Data are expressed as mean (SD), median (Interquartile range, IQR), or count (percentage) depending on the variable type.

Abbreviations: BMI, body mass index; TC, total cholesterol; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; VLDL-C, very low-density lipoprotein cholesterol; HbA1c, glycosylated hemoglobin; FT3, free triiodothyronine; FT4, free thyroxine (FT4); TSH, thyroid-stimulating hormone; SBP, systolic blood pressure; DBP, diastolic blood pressure; DM, diabetes mellitus.

Demographical and Clinical Characteristics of the Study Population with and without Macrovascular Complications Note: Data are expressed as mean (SD), median (Interquartile range, IQR), or count (percentage) depending on the variable type. Abbreviations: BMI, body mass index; TC, total cholesterol; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; VLDL-C, very low-density lipoprotein cholesterol; HbA1c, glycosylated hemoglobin; FT3, free triiodothyronine; FT4, free thyroxine (FT4); TSH, thyroid-stimulating hormone; SBP, systolic blood pressure; DBP, diastolic blood pressure; DM, diabetes mellitus. Among the 131 females and 180 males, the age (median (IQR)) was 56 (12) years and the BMI was 26.51 (3.98) kg/m2. Moreover, 217 patients were subcutaneously injected with insulin to control blood glucose levels. Meanwhile, 94 patients were treated with oral medications as part of anti-diabetic therapy. The thyroid hormones including FT3 and FT4 were significantly lower in participants with macrovascular complications compared with those without macrovascular complications. However, there was no significant difference between the two groups regarding the TSH levels. Table 2 shows the results from the multivariate logistic regression was performed between the prevalence of macrovascular complications and the level of thyroid hormones. A graded decrease in the risk was found in the prevalence of macrovascular complications with the increase of FT3 and FT4. Model 1 (Figure 1A) was adjusted for age and sex. Accordingly, high normal level of FT3 and FT4 revealed lower prevalence ratios of 0.589 (95% CI 0.407–0.854, p = 0.005) and 0.854 (95% CI 0.773–0.944, p = 0.002), respectively. In addition to age and sex, in the model adjusted for duration of T2DM, systolic blood pressure (SBP), diastolic blood pressure (DBP), BMI, HbA1c, TG, TC, HDL-C, LDL-C, and VLDL-C the prevalence ratio of high FT3 levels was 0.534 (95% CI 0.358–0.796, p = 0.002) and high-normal FT4 levels (OR 0.844 (95% CI 0.760–0.937), p = 0.001) was smaller than low-normal FT4 levels (Figure 1B). In the comparison of TSH levels, there was no significant difference in the prevalence of macrovascular complications. When stratified by BMI, there was no association in normal weight patients but a similar association was present in the overweight or obese patients (Table 2).
Table 2

Prevalence Ratio of Macrovascular Complications Based on Multivariate Logistic Regression on Thyroid Hormone Levels

Thyroid StatusModel 1Model 2
OR (95% CI)P valueOR (95% CI)P value
Patients not stratified by BMI
TSH0.835 (0.632–1.103)0.2050.816 (0.608–1.094)0.174
FT30.589 (0.407–0.854)0.0050.534 (0.358–0.796)0.002
FT40.854 (0.773–0.944)0.0020.844 (0.760–0.937)0.001
Patients with BMI<25 Kg/m2
TSH0.741 (0.386–1.424)0.3690.677 (0.301–1.524)0.347
FT30.485 (0.218–1.083)0.0780.497 (0.202–1.221)0.127
FT40.850 (0.688–1.049)0.1310.793 (0.614–1.024)0.075
Patients with BMI≥25 Kg/m2
TSH0.824 (0.601–1.124)0.2220.816 (0.589–1.129)0.219
FT30.601 (0.390–0.926)0.0210.568 (0.358–0.901)0.016
FT40.862 (0.768–0.967)0.0120.853 (0.754–0.964)0.011

Notes: Model 1: adjusted for age and sex. Model 2: adjusted for age, sex, duration of T2DM, SBP, DBP, BMI, HbA1c, TG, TC, HDL-C, LDL-C, and VLDL-C.

Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval.

Figure 1

Prevalence ratio of macrovascular complications based on multivariate logistic regression on thyroid hormone levels. ((A) Adjusted for age and sex. (B) Adjusted for age, sex, duration of T2DM, SBP, DBP, BMI, HbA1c, TG, TC, HDL-C, LDL-C, and VLDL-C.).

Prevalence Ratio of Macrovascular Complications Based on Multivariate Logistic Regression on Thyroid Hormone Levels Notes: Model 1: adjusted for age and sex. Model 2: adjusted for age, sex, duration of T2DM, SBP, DBP, BMI, HbA1c, TG, TC, HDL-C, LDL-C, and VLDL-C. Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval. Prevalence ratio of macrovascular complications based on multivariate logistic regression on thyroid hormone levels. ((A) Adjusted for age and sex. (B) Adjusted for age, sex, duration of T2DM, SBP, DBP, BMI, HbA1c, TG, TC, HDL-C, LDL-C, and VLDL-C.). Moreover, sensitivity analyses were conducted to exclude patients with normal HbA1c. The results were generally similar once patients who exhibited normal HbA1c (n=26) were excluded (Table 3). In this group, the association of FT3 was slightly enhanced. However, the association of FT4 was slightly weakened (Figure 2).
Table 3

Prevalence Ratio of Macrovascular Complications Based on Multivariate Logistic Regression on Thyroid Hormone Levels Within Patients with Abnormal HbA1cHbA1c

Thyroid StatusModel 1Model 2
OR (95% CI)P valueOR (95% CI)P value
Patients not stratified by BMI
TSH0.889 (0.666–1.188)0.4280.880 (0.649–1.192)0.408
FT30.616 (0.420–0.904)0.0130.546 (0.358–0.828)0.004
FT40.839 (0.755–0.933)0.0010.823 (0.760–0.920)0.001
Patients with BMI<25 Kg/mm2
TSH0.854 (0.409–1.784)0.6740.776 (0.313–1.927)0.585
FT30.524 (0.226–1.215)0.1320.519 (0.199–1.350)0.178
FT40.850 (0.683–1.057)0.1440.800 (0.619–1.034)0.088
Patients with BMI≥25 Kg/mm2
TSH0.857 (0.623–1.179)0.3420.846 (0.606–1.181)0.325
FT30.627 (0.402–0.978)0.0400.582 (0.360–0.940)0.027
FT40.845 (0.748–0.956)0.0070.829 (0.727–0.945)0.005

Notes: Model 1: adjusted for age and sex. Model 2: adjusted for age, sex, duration of T2DM, SBP, DBP, BMI, HbA1c, TG, TC, HDL-C, LDL-C, and VLDL-C.

Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval.

Figure 2

Prevalence ratio of macrovascular complications based on multivariate logistic regression on thyroid hormone levels within patients with abnormal HbA1c. ((A) Adjusted for age and sex. (B) Adjusted for age, sex, duration of T2DM, SBP, DBP, BMI, HbA1c, TG, TC, HDL-C, LDL-C, and VLDL-C.).

Prevalence Ratio of Macrovascular Complications Based on Multivariate Logistic Regression on Thyroid Hormone Levels Within Patients with Abnormal HbA1cHbA1c Notes: Model 1: adjusted for age and sex. Model 2: adjusted for age, sex, duration of T2DM, SBP, DBP, BMI, HbA1c, TG, TC, HDL-C, LDL-C, and VLDL-C. Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval. Prevalence ratio of macrovascular complications based on multivariate logistic regression on thyroid hormone levels within patients with abnormal HbA1c. ((A) Adjusted for age and sex. (B) Adjusted for age, sex, duration of T2DM, SBP, DBP, BMI, HbA1c, TG, TC, HDL-C, LDL-C, and VLDL-C.).

Discussion

The present retrospective study explores the relationship between thyroid hormones and the prevalence of diabetic macrovascular complications. Overall, after adjusting for the potential confounders including age, sex, duration of T2DM, BMI, SBP, DBP, HbA1c, TG, TC, HDL-C, LDL-C, and VLDL-C, the results indicated that low-normal FT3 and FT4 levels are related to an elevated risk of macrovascular complications. As determined by BMI, statistically significant associations were found between free thyroid hormone and diabetic macrovascular complications among overweight or obese patients. There was no association between the thyroid hormone and diabetic macrovascular complications among patients who were normal weight. A similar association was observed among those that exhibited HbA1c levels above the nominal range. Cardiovascular and cerebrovascular complications are frequently conjoined with T2DM since such complications are the principal causes of morbidity and mortality in T2DM complications. Upon adjusting for known cardiovascular risk factors, the risk of macrovascular complications was still found to be still four times higher in T2DM patients compared to participants without T2DM.14 Some endocrine hormones, such as the thyroid hormone, regulated carbohydrate metabolism, which includes the absorption of glucose, hepatic gluconeogenesis, and glycogenolysis.15,16 Therefore, thyroid hormones could contribute to the pathogenesis of macrovascular complications in T2DM. Reportedly, low thyroid hormone levels, even within the normal reference range, are related to macrovascular complications. In a prospective study, it was revealed that high TSH and HbA1c within the reference range were co-risk factors for the incidence of coronary heart disease.17 In a cross-sectional study reported by Gomez-Zamudio et al,18 it was shown that high levels of TSH were associated with elevated pro-inflammatory and cardiovascular risk markers in patients with extreme obesity (BMI ≥40), which increases the risk for developing cardiovascular diseases. An association was observed between thyrotropin levels and fatal coronary heart disease (CHD) in a prospective study involving 25,313 cases in Nord-Trøndelag County in Norway.8 Another prospective population-based study in Norway measured thyroid hormone levels in 26,707 cases, and it was found that high-normal TSH levels were associated with an elevated risk of coronary death in females, but not in men. However, thyroid function was not associated with the risk of being hospitalized with myocardial infarction.19 Still, none of the studies analyzed the association between macrovascular disease and FT3 or FT4. Moreover, a retrospective study of 204 cases of coronary artery disease diagnosed by coronary angiograms due to chest pain in Kangbuk Samsung hospital found that elevated levels of serum FT4, even within the nominal range could contribute to coronary artery disease but without any association between TSH and the coronary artery disease.9 It is clear that even though some previous studies have examined the association between thyroid hormone and macrovascular diseases, the results are inconsistent. Our research restricted the subjects to patients with T2DM and obtained different results. In addition, some other studies have shown some limited evidence of a significant association between thyroid hormone and macrovascular complications in T2DM. Admittedly, methods of evaluating exposure slightly differ from the present study. However, a case-control study conducted in China suggested that low-normal FT3 and FT4 levels contributed to a high prevalence of atherosclerosis after adjusting for covariates.13 However, TSH and FT3 to FT4 ratio did not show any significant association with the development of atherosclerosis. Moreover, they analyzed the association of thyroid function with HbA1c and the association of HbA1c with the prevalence of atherosclerosis. After adjusting for confounding factors, the result of quantile regression indicated a significant negative association between HbA1c and FT3. However, an opposite trend was observed between HbA1c and FT4. In the analysis of TSH, the confidence intervals of the coefficients between these two included zeros, which did not indicate any significant relationship. In contrast with previous studies, the authors did not find any correlation between HbA1c and the prevalence of atherosclerosis in the euthyroid T2DM population. The present study is based on the results of previous researches; accordingly, a sensitivity analysis was conducted that involved patients with abnormal HbA1c. In general, similar results were found when observing all included patients. Another study of cross-sectional cohort included 70 cases with T2DM and 70 cases as a control group. It was found that total thyroid hormone instead of free thyroid hormone or TSH was independent of the risk factors associated with cardiovascular events (CVE) in patients with T2DM.20 Due to data limitations, the present study did not include total thyroid hormone, which was one of the limitations of the current study. Moreover, thyroid hormone abnormalities contribute to inflammatory activity and CVE in these patients. It is a result that was reflected in previous studies.21–23 BMI classified as overweight or obese (BMI≥25) is widely recognized as a risk factor for developing diabetic macrovascular complications.24 Several previous studies have shown that thyroid hormones have a higher level of correlation with cardiovascular disease in obese patients.25–27 As we know, this is the first study focused on investigating the association between thyroid hormone and diabetic macrovascular complications based on weight. Elevated risks of diabetic macrovascular complications were observed among high-BMI patients with free thyroid hormone compared to those with normal BMIs, a plausible explanation is that free thyroid hormone contributes to the extra risk of diabetic macrovascular complications among patients already facing a high risk of diabetic macrovascular complications owing to obesity or overweight. It is supported by our finding where the risk increased among overweight or obese patients in the analyses restricted to patients with abnormal HbA1c. Firstly, the single-center retrospective design was the primary limitation of the present study, which could magnify the confounding. However, the impact was limited by rich covariate data and sensitivity analysis. Secondly, the sample size was inadequate. Therefore, larger, prospective researches are needed to confirm our findings. Moreover, the present research did not show any specific or defined measurements of the macrovascular complications, instead, these were classified according to the echocardiography and vascular cardiography results, which could lead to the overdiagnosis of macrovascular complications (57.9%). However, due to the non-invasive nature and highly accurate diagnosis, Doppler ultrasound is currently the preferred method for diagnosing vascular diseases in China. Previous studies have also reported a high incidence of macrovascular complications in T2DM.28–30

Conclusions

The present study found some indicators that free thyroid hormone could decrease the risk of diabetic macrovascular complications. However, there was no strong evidence of any associations between thyroid hormone in T2DM and the risk of macrovascular complications among euthyroid patients with normal weight. Combined with the suggestion, recognizing these types of potential risk factors are significant for reducing the burden from this T2DM complication. Additional longitudinal studies are needed to confirm the findings.
  30 in total

Review 1.  Single-field fundus photography for diabetic retinopathy screening: a report by the American Academy of Ophthalmology.

Authors:  George A Williams; Ingrid U Scott; Julia A Haller; Albert M Maguire; Dennis Marcus; H Richard McDonald
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2.  Standards of medical care in diabetes--2014.

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Journal:  Diabetes Care       Date:  2014-01       Impact factor: 19.112

Review 3.  Beyond low plasma T3: local thyroid hormone metabolism during inflammation and infection.

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Journal:  Endocr Rev       Date:  2011-07-26       Impact factor: 19.871

Review 4.  Microvascular Complications of Type 2 Diabetes Mellitus.

Authors:  Charles Faselis; Alexandra Katsimardou; Konstantinos Imprialos; Pavlos Deligkaris; Manolis Kallistratos; Kiriakos Dimitriadis
Journal:  Curr Vasc Pharmacol       Date:  2020       Impact factor: 2.719

5.  Subclinical hypothyroidism and myocardial function in obese children.

Authors:  C Brienza; A Grandone; G Di Salvo; A M Corona; A Di Sessa; C Pascotto; R Calabrò; R Toraldo; L Perrone; E Miraglia del Giudice
Journal:  Nutr Metab Cardiovasc Dis       Date:  2012-06-27       Impact factor: 4.222

6.  Higher serum free thyroxine levels are associated with coronary artery disease.

Authors:  Chan-Hee Jung; Eun-Jung Rhee; Hun-Sub Shin; Sook-Kyoung Jo; Jong-Chul Won; Cheol-Young Park; Byung-Jin Kim; Ki-Chul Sung; Bum-Soo Kim; Won-Young Lee; Ki-Won Oh; Jin-Ho Kang; Sung-Woo Park; Man-Ho Lee; Sun-Woo Kim
Journal:  Endocr J       Date:  2008-05-23       Impact factor: 2.349

7.  Primacy of the 3B approach to control risk factors for cardiovascular disease in type 2 diabetes patients.

Authors:  Linong Ji; Dayi Hu; Changyu Pan; Jianping Weng; Yong Huo; Changsheng Ma; Yiming Mu; Chuanming Hao; Qiuhe Ji; Xingwu Ran; Benli Su; Hanjing Zhuo; Keith A A Fox; Michael Weber; Danyi Zhang
Journal:  Am J Med       Date:  2013-06-27       Impact factor: 4.965

8.  Health-related quality of life of type 2 diabetes patients hospitalized for a diabetes-related complication.

Authors:  Shuyan Gu; Xiaoyong Wang; Lizheng Shi; Qiuying Sun; Xiaoqian Hu; Yuxuan Gu; Xueshan Sun; Hengjin Dong
Journal:  Qual Life Res       Date:  2020-05-14       Impact factor: 4.147

9.  Free Triiodothyronine Levels Are Associated with Diabetic Nephropathy in Euthyroid Patients with Type 2 Diabetes.

Authors:  Jingcheng Wu; Xiaohua Li; Yang Tao; Yufei Wang; Yongde Peng
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10.  Impact of age, age at diagnosis and duration of diabetes on the risk of macrovascular and microvascular complications and death in type 2 diabetes.

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Journal:  Diabetes Metab Syndr Obes       Date:  2022-03-20       Impact factor: 3.168

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