Investigation of Thyroid Dysfunctions Among Type-1 and Type-2 Diabetes Mellitus Patients
Received 12 Apr, 2024 |
Accepted 14 Jun, 2024 |
Published 15 Jun, 2024 |
Background and Objective: Thyroid function plays a crucial role in controlling physiological processes. Diabetes and thyroid dysfunctions are two common endocrinological conditions that can be seen in the same patient at the same time. This study aims to investigate thyroid dysfunctions in patients with diabetes mellitus (DM) and to determine the risk factors for thyroid diseases accompanying diabetes. Materials and Methods: The 10297 patients were included in the study. All of the patients were diagnosed with DM. For this retrospective study, medical records of all patients were reviewed and serum T3, T4, TSH and HbA1c results were recorded. Results: All patients were categorized as overt hypothyroidism, overt hyperthyroidism, subclinical hypothyroidism, subclinical hyperthyroidism and euthyroidism according to T4 and TSH results. It was found that thyroid dysfunctions were more common in women and their incidence increased with age. Conclusion: Subclinical thyroid dysfunctions were found to be higher than overt dysfunctions. This is very important for patients with thyroid dysfunction accompanied by diabetes. Screening is recommended to reveal this condition, which is also related to age and gender.
Copyright © 2024 Coskunpinar et al. This is an open-access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
INTRODUCTION
Although diabetes mellitus and thyroid diseases are seen at different rates in different populations, they are among the most common chronic endocrine diseases1. Type 1 diabetes accounts for approximately 10% of all diabetes cases. Its incidence is increasing all over the world. Major challenges in the management of type 1 diabetes and its complications remain2. Type 1 diabetes and type 2 diabetes are heterogeneous diseases. Classification of diabetes is important in choosing the treatment protocol. It is not obvious that some individuals have type 1 or type 2 diabetes at diagnosis3. Diabetes mellitus is the disease of the century, the global prevalence of which has nearly doubled in the last fifty years, especially in the adult population. Approximately half of those who died due to diabetes mellitus and related complications were patients under the age of 704. The prevalence of diabetes has increased steadily in the United States, from 7.5% in 1988-1989 to approximately 14% in 2016-20185. The T1D disease develops froma background of autoimmunity and absolute insulin deficiency occurs as a result of the destruction of β cells of the pancreas and covers 5-10% of diabetes patients while the pathogenesis of T2D disease is much more complex and contains many pathways that interact with each other. The T2D disease in which insulin resistance is at the forefront may be a component of metabolic syndrome, T2D patients have higher Body Mass Index (BMI) measurements and the disease can occur in the presence of environmental triggers such as different types of viruses and various toxins, more than 90% of the diabetes patients have T2D disease. The T2D patients have high insulin levels at the earlier stage of the disease nevertheless low insulin levels and tissue unresponsiveness to insulin can sometimes occur in the same patient6.
The incidence of type 1 diabetes can vary significantly around the world. With some exceptions, the incidence of T1D increases as one moves north of the equator. This situation is associated with a decrease in seasonal temperatures. Age at disease onset and islet autoimmunity have been reported to be higher in autumn and winter. The incidence of T2D is increasing in the United States, especially among young people. However, there is a close relationship between increasing age and the risk of developing T2D. Approximately 25% of individuals over the age of 65 in America have diabetes and approximately half of this age group has prediabetes. Studies have shown that T1D has a much more advanced characterization than T2D. Studies of patients with T1D and their first-degree relatives show that the persistent presence of two or more autoantibodies is almost certainly the cause of diabetes. Elevated glucose and HbA1c levels enable diagnosis before the clinical onset of diabetes and the onset of diabetic ketoacidosis (DKA)7,8. When hyperglycemia occurs, all diabetics have the same risk of developing chronic complications. However, progression rates may differ. Decreased β-cell insulin secretion in response to hyperglycemia appears to be the common denominator in both T1D and T2D. In both T1D and T2D, various genetic and environmental factors can cause progressive loss of β-cell mass and/or function, manifesting clinically as hyperglycemia7. Three stages are defined in the development of T1D. Stage 1 is characterized by the presence of two or more islet autoantibodies with normoglycemia or the presence of β-cell autoimmunity and is presymptomatic. Stage 2 is characterized by the presence of dysglycemia and β-cell autoimmunity and is presymptomatic. Stage 3 is the beginning of symptomatic disease. This staging classification is standardized for T1D8.
Identifying individualized treatments for diabetes in the future will require better characterization of the many pathways leading to β-cell death or dysfunction. Classifications regarding diabetes focus on both the pathophysiology of the underlying β-cell dysfunction and the disease stage that may be related to glucose levels7. Hyperglycemia caused by the disease because of various pathologies causes different complications. Glycated hemoglobin A1C (HbA1C) evaluates chronic glycemia and elevates when there is long-term hyperglycemia, therefore HbA1C levels correlate with the risk of diabetes complications9. Complications are classified as acute and chronic and they can be life-threatening. While diabetic ketoacidosis or nonketotic hyperosmolar syndrome is present among acute complications, chronic complications have a wide spectrum including microvascular complications such as nephropathy, retinopathy, neuropathy and macrovascular complications such as cerebrovascular events, heart diseases and peripheral vascular diseases which can lead to amputations especially in the lower extremity6,10.
Effective patient self-management is critical to prevent acute complications and reduce the risk of long-term complications. In order to do that, first, lifestyle changes should be made and regular exercise should be done, various diabetes medications should be used consistently and in combination most of the time, blood glucose levels should be monitored regularly and necessary actions should be taken when the blood glucose value is outside of the normal ranges11. Diabetes and thyroid dysfunctions represent the two most common endocrinological conditions seen in adults and may occur in the same patient simultaneously12. Previous studies indicated the prevalence of TD in diabetic patients is greater than in the general population, ranging from 10.3 to 33%13,14. The spectrum of thyroid diseases is quite wide. Subclinical thyroid diseases are diseases that do not have obvious symptoms and are biochemically determined; however, they can cause complications, especially in the cardiovascular system. In these patients, the treatment is determined by considering the patient's age, TSH and cholesterol levels and comorbidities such as diabetes15.
The most common autoimmune disease group seen in the clinic is autoimmune thyroiditis, these are known as Hashimoto's and Graves’ diseases and can occur in the presence of various antibodies such as serum thyroid peroxidase (TPO) and thyroglobulin (Tg) antibodies16. Different studies stated that Hashimoto’s thyroiditis is the most common autoimmune disease and autoimmune thyroid diseases may accompany 15-50% of T1D patients17. Thyroid hormones stimulate hyperglycemia via multiple mechanisms, including regulation of insulin sensitivity and its synergistic effects with catecholamines, leading to increased glycogenolysis18. Undiagnosed and untreated thyroid diseases can worsen metabolic control, hinder the management of diabetes and have a negative impact on the prognosis of the disease19. The relationship between diabetes and thyroid dysfunctions has been examined in various studies. It has been demonstrated in previous studies that DM patients with subclinical hypothyroidism are at higher risk of complications like nephropathy and cardiovascular events and early thyroxine replacement therapy in individuals with hypothyroid disease accompanying diabetes reduces the risks of various complications, especially in the cardiovascular system20.
Even without subclinical disease, patients with a TSH level above 2.5 mIU/L have an increased risk of developing complications of diabetes mellitus such as retinopathy and renal dysfunction, which can be fatal, compared to patients who do not have elevated TSH levels21. It has been shown that metformin treatment reduces TSH levels without interfering with thyroid hormone levels and there is a decrease in nodular size after metformin treatment in patients with insulin resistance and small thyroid nodular goiter22,23. This study aims to investigate thyroid dysfunctions among T1D and T2D patients in Turkey, to develop limited data, determine the risk factors for thyroid diseases accompanying diabetes and examine the necessity of regular thyroid screening in diabetes mellitus patients.
MATERIALS AND METHODS
Study design: This study was conducted using the data of 11757 patients who applied to the Sultan Abdülhamid Han Training and Research Hospital of the University of Health Sciences in Istanbul between 04 January, 2016 and 10 October, .2021 and were diagnosed with type 1 or type 2 diabetes mellitus. Patient data were taken from the Nucleus Database between 01 October, 2021 to 20 November, 2021. Ethics committee approval was obtained with decision no. 30/6 (2021) of the Scientific Research Ethics Committee. All procedures were followed in accordance with the Helsinki Declaration of 1975, as revised in 2000. Informed consent was obtained from all individual participants included in the study.
This is a single-center study that involved data from 10297 patients (4275 males and 6022 females), a representative number of Turkish patients with diabetes, aged between 18-100 years who applied to Istanbul Training and Research Hospital between 04.01.2016-10.10.2021 and were diagnosed with type 1 or type 2 diabetes mellitus according to the ADA "Classification and Diagnosis of Diabetes Guideline”3. The data used in the study are; gender, age, admission diagnoses as type-1 or type-2 DM, TSH, T4 and HbA1c results. The data was taken from the Nucleus Database between 01 October, 2021 to 20 November, 2021. The number of data checked before the exclusion filters were applied is given in Table 1. The recurrent applications of the patients were not considered and only the results recorded at the first admission to the hospital were included in the study. The TSH results of the patients were categorized as <0.4 mIU/L low, 0.4-4.05 mIU/L normal and >4.05 mIU/L high; T4 results were categorized as <0.9 ng/dL low, 0.9-1.75 ng/dL normal and >1.75 ng/dl high. The HbA1c cut-off values were determined as 5 and 15.
Table 1: | Number of data checked before applying exclusion filters |
Year | TSH |
T4 |
HbA1C |
2016 | 3.353 |
25.57 |
10.599 |
2017 | 4.49 |
32.022 |
20.238 |
2018 | 5.792 |
45.39 |
18.836 |
2019 | 7.991 |
52.196 |
27.084 |
2020 | 5.748 |
40.437 |
27.186 |
2021 | 4.743 |
33.33 |
35.503 |
Total | 32.122 |
228.995 |
139.446 |
Table 2: | Patient groups not included in the study and their numerical distribution |
Thyroid hormone levels | Frequency |
TSH high+T4 high | 3 |
TSH N+T4 low | 51 |
TSH N+T4 high | 1440 |
TSH low+T low | 55 |
Thyroid functions of patients were categorized according to the ATA Guidelines and they evaluated as follows: Overt hypothyroidism when T4 is low and TSH is high, subclinical hypothyroidism when TSH is high but T4 is normal, euthyroid when both TSH and T4 results are between normal ranges, subclinical hyperthyroidism when TSH is low but T4 is normal, overt hyperthyroidism when TSH is low and T4 is high. Patients under the age of 18 and with longer than 7 days between T4-TSH measurements and longer than 90 days between TSH and HbA1c measurements were not included in the study. Besides, patients with thyroid function abnormalities, which may occur due to a possible secondary/tertiary cause, who may not fall under the category of primary thyroid diseases were excluded from the study; these patients are the patient groups with low TSH and T4 values together, high TSH and T4 values together, low or high T4 values when TSH is within normal limits and the number of patients in these groups is given in Table 2. As a result of the exclusion criteria, the number of patients, which was 14.382 at the beginning, decreased to 10.297.
Statistical analysis: The data were processed on IBM SPSS v25.0 and percentage, Chi-square analysis, standard deviation and median values were used in descriptive statistics. The statistical significance level of p-value less than 0.05 was accepted as statistically significant.
RESULTS
This study included 4275 (41.5%) males and 6022 females (58.5%), a total of 10297 patients; 408 of whom were diagnosed with type-1 diabetes (insulin dependent diabetes mellitus, 4%) and 9889 with type-2 diabetes (insulin independent diabetes mellitus, 96%). The age of the patient’s distribution is given in text (Table 3). The TSH results were as follows, 710% (6.9 %) with low, 8696 with normal (84.5%) and 891 with high (8.7%) results and T4 results were as 306% with low (3%), 9939% with normal (96.5%) and 52% with high (0.5%). Thyroid functions were determined according to TSH and T4 values and showed the prevalence of thyroid dysfunctions of 1582/10297% (15.4%) in our population. The distribution was as follows: Overt hypothyroidism 287, subclinical hypothyroidism 604, euthyroid 8715, subclinical hyperthyroidism 639 and overt hyperthyroidism 52 (Table 4). It has been shown that HbA1c median value and HbA1c categorization distribution by gender, both HbA1c median value and the percentage of HbA1c in the “diabetes” category is higher in men (Table 5). When thyroid functions and gender were compared, it was found that both hypothyroidism and hyperthyroidism were more common in women and a significant relationship was found between gender and thyroid function (Table 6). The median HbA1c value of T1D patients was 8 while it was 6.9 in T2D patients. When the diagnosis of admission and thyroid dysfunctions were compared, no significant relationship was found and the distribution of thyroid dysfunction among type 1 and type 2 diabetes patients was similar (Table 7). However, the most common dysfunction in T1D patients was subclinical hypothyroidism, while it was subclinical hyperthyroidism in T2D patients. The relationship between age and thyroid dysfunctions was found to be significant (p<0.001) and the increase in dysfunction correlated with increasing age is seen in a text (Table 8). The median values of TSH, T4 and HbA1c according to the age ranges of the patients are shown in text (Table 9). The HbA1c value tends to increase with age in diabetic patients, but it reaches a plateau after the age of 60. As a result of the comparison of HbA1c categorization and thyroid dysfunction, it was determined that there was no statistically significant difference (Table 10).
Table 3: | Distribution of age ranges of the patients included in the study |
Age range | Frequency (n) |
Percentage (%) |
18-29 | 378 |
3.7 |
30-39 | 560 |
5.4 |
40-49 | 1715 |
16.7 |
50-59 | 2995 |
29.1 |
60-69 | 2686 |
26.1 |
70-79 | 1476 |
14.3 |
80-100 | 487 |
4.7 |
Total | 10297 |
100 |
Table 4: | Distribution of thyroid functions categorization of patients included in the study |
Thyroid status | Frequency (n) | Percentage (%) |
Hypothyroidism (T4-low,TSH-high) | 287 | 2.8 |
Subclinical hypothyroidism (TSH-high,T4-normal) | 604 | 5.9 |
Euthyroid (T4-N , TSH-N) | 8715 | 84.6 |
Subclinical hyperthyroidism (TSH-low, T4-N) | 639 | 6.2 |
Hyperthyroidism (TSH-low, T4-high) | 52 | 0.5 |
Total | 10297 | 100 |
Table 5: | HbA1c median value and HbA1c categorization distribution by gender |
Gender | HbA1c median value |
Normal (n) (HbA1c<5.4) |
Prediabetes (n) (HbA1c: 5.5-6.4) |
Diabetes (n) (HbA1c>6.5) |
Total (n) |
Female | 6 | 528 (8.7%) | 1737 (28.8%) | 3757 (62.3 %) | 6022 |
Male | 7.3 | 291 (6.8%) | 959 (22.4%) | 3025 (70.7%) | 4275 |
Total | 819 (7.9%) | 2696 (26.1%) | 6782 (65.8%) | 10297 |
Table 6: | Distribution of thyroid functions by gender |
Gender | Overt hypothyroidism |
Subclinical hypothyroidism |
Euthyroid | Subclinical hyperthyroidism |
Overt hyperthyroidism |
Total | p-value |
Male | 103 (2.4%) | 180 (4.2%) | 3738 (87.4%) | 238 (5.50%) | 16 (0.30%) | 4275 | <0.001 |
Female | 184 (3.00%) | 424 (7.00%) | 4977 (82.6%) | 401 (6.60%) | 36 (0.50%) | 6022 | |
Total | 287 (2.7%) | 604 (5.8%) | 8715 (84.6%) | 639 (6.20%) | 52 (0.50%) | 10297 |
Table 7: | Distribution of thyroid functions by diabetes diagnosis |
Diagnosis | Overt hypothyroidism |
Subclinical hypothyroidism |
Euthyroid | Subclinical hyperthyroidism |
Overt hyperthyroidism |
Total |
Type 1 | 17 (4.1%) | 29 (7.1%) | 339 (83.2%) | 22 (5.4%) | 1 (0.2%) | 407 |
Type 2 | 270 (2.7%) | 575 (5.8%) | 8376 (84.7%) | 617 (6.2%) | 51 (0.5%) | 9889 |
Total | 287 (2.8%) | 604 (5.9%) | 8715 (84.6%) | 639 (6.2%) | 52 (0.5%) | 10297 |
Table 8: | Distribution of thyroid functions by age |
Age ranges/ Thyroid functions |
Overt hypothyroidism |
Subclinical hypothyroidism |
Euthyroid | Subclinical hyperthyroidism |
Overt hyperthyroidism |
Total |
18-29 | 7 (1.8%) | 18 (4.7%) | 344 (91.0%) | 8 (2.1%) | 1 (0.2%) | 378 |
30-39 | 8 (1.4%) | 30 (5.3%) | 493 (88.0%) | 27 (4.8%) | 2 (0.3%) | 560 |
40-49 | 47 (2.7%) | 77 (4.4%) | 1476 (86.0%) | 101 (5.8%) | 14(0.8%) | 1715 |
50-59 | 97 (3.2%) | 176 (5.8%) | 2546 (85%) | 167 (5.5%) | 9 (0.3%) | 2995 |
60-69 | 73 (2.7%) | 168 (6.2%) | 2241 (83.4%) | 192 (7.1%) | 12 (0.4%) | 2686 |
70-79 | 38 (2.5%) | 100 (6.7%) | 1231 (83.4%) | 94 (6.3%) | 13 (0.8%) | 1476 |
80-100 | 17 (3.4%) | 35 (7.1%) | 384 (78.8%) | 50 (10.2%) | 1 (0.2%) | 487 |
Tole | 287 (2.7%) | 604 (5.8%) | 8715 (84.6%) | 639 (6.2%) | 52 (0.5%) | 10297 |
Table 9: | TSH, T4 and HbA1c median values of age ranges |
Age range | TSH median value |
T4 median value |
HbA1c median value |
18-29 | 1.7 |
1.03 |
5.09 |
30-39 | 1.51 |
1.04 |
6.06 |
40-49 | 1.46 |
1.04 |
6.9 |
50-59 | 1.47 |
1.06 |
7 |
60-69 | 1.42 |
1.07 |
7.1 |
70-79 | 1.41 |
1.09 |
7.1 |
80-100 | 1.32 |
1.08 |
6.9 |
Table 10: | Comparison of HbA1c categorization and thyroid dysfunctions |
Overt hypothyroidism |
Subclinical hypothyroidism |
Euthyroid | Subclinical hyperthyroidism |
Overt hyperthyroidism |
Total | p-value | |
Normal | 21 (2.5%) | 39 (4.7%) | 715 (87.3%) | 39 (4.7%) | 5 (0.6%) | 819 | 0.264 |
Prediabetes | 76 (2.8%) | 153 (5.6%) | 2300 (85.3%) | 152 (5.6%) | 15 (0.5%) | 2696 | |
Diabetes | 190 (2.8 %) | 412 (6 %) | 5700 (84%) | 448 (6.6 %) | 32 (0.4 %) | 6782 | |
Total | 287 (2.7%) | 604 (5.8%) | 8715 (84.6%) | 639 (6.2%) | 52 (0.5%) | 10297 |
DISCUSSION
The T1D and T2D are polygenic diseases where many variants, with different effects, contribute to overall disease risk. Despite the genetic basis of diabetes, the prevalence of both T1D and T2D is increasing more than genetic variations. Therefore, it is being considered that environmental factors also play a very important role in both types of diabetes7.
In the present study, thyroid functions were determined from the most common to rare as euthyroid, subclinical hyperthyroidism, subclinical hypothyroidism, overt hypothyroidism and overt hyperthyroidism. In various studies in the literature, it was stated that the most common thyroid condition other than the euthyroid state was subclinical hypothyroidism, the prevalence of overt and subclinical hyperthyroidism was lower than 0.3 and 1%, respectively24-26.
In a report published by the National Guideline Center (UK) in 2019, it was reported that hypothyroidism is common in 2% of the UK population and more than 5% of people over the age of 6027. In the same publication, it was reported that the rate of hypothyroidism in women is 5-10 times higher than in men27. Current study concluded that hypothyroidism was seen in approximately 4.2% of the entire population. In addition, it is stated that it is common in approximately 4.5% of people over the age of 60 in our country. In these respects, current study results overlap with the National Guideline Center (UK) in terms of the incidence in the whole population; It has been determined that the rate of individuals over the age of 60 in our country has increased dramatically compared to the UK. It is possible to attribute this situation to many factors such as genetics, environmental factors, nutritional habits and inadequate diabetes follow-up. However, long-term consequences of hypothyroidism include increased cardiovascular risk factors, that involve cardiovascular disease and hypercholesterolemia. These effects can also be alleviated when hypothyroidism is treated effectively. Nevertheless, there are still some differences in the first and second-line follow-up and treatment of thyroid dysfunctions in our country as in the rest of the world. There is a need for standardization of thyroid hormone replacement strategies and follow-up protocols, especially in patients with hypothyroidism.
Remarkably, the subclinical thyroid dysfunctions detected in our study were higher than the overt dysfunctions and it can be thought that when the dysfunction is detected biochemically before it occurs clinically, it can be stopped before it progresses to the overt disease and that the treatment of thyroid dysfunction can prevent the worsening of the prognosis of diabetes as a result of avoiding possible glycemic index disrupting metabolic pathologies.
When thyroid functions and gender were compared, it was found that both hypothyroidism and hyperthyroidism were more common in women15. In an article published in 2020, Turner et al.28 reported that the frequency of thyroid dysfunction in patients with diabetes increases with age and is higher in women than in men. In current study, a significant relationship was found between gender and thyroid function (p<0.001). When the reasons why women are at risk for thyroid dysfunction are examined; it can be thought that their glycemic index may be worse than men’s. In the study conducted with T2D patients, Mogre et al.29 suggested that this condition develops because women are more prone to have autoimmune diseases. Furthermore, when the reason for hypothyroidism is autoimmune thyroiditis, which is the most common cause, this condition shares a common genetic origin with T1D. Barmpari et al.30 and Duntas et al.31 stated that T1D and autoimmune thyroid disease are based on a related genetic susceptibility and that there is a complex interaction of common signaling pathways. The ADA recommends regular screening of newly diagnosed type1 diabetes patients at the time of diagnosis and periodically after, in terms of the possibility of developing prospective accompanying autoimmune thyroid diseases3.
A rising HbA1c level is the first indicator of the clinical onset of diabetes, making diagnosis feasible well before diabetic ketoacidosis. The HbA1c values and standard deviations were found like the studies in the literature. In present study, the HbA1c value tends to increase with age in diabetic patients, but it reaches a plateau after the age of 60. Similar to current findings, Edqvist et al.32 investigated the relationship between the age of onset of diabetes and HbA1c levels and, found that those diagnosed with diabetes before the age of 15 had higher hba1c levels than those diagnosed older ages and that HbA1c in both groups tended to increase until the age of 45, but was stable after this age with slight decreases32.
Subclinical thyroid dysfunction includes both subclinical hypothyroidism and subclinical hyperthyroidism. Various publications have reported that the prevalence of both conditions increases with age and that in patients>70 years of age, approximately 5% of the population has either of these two conditions. It is also known that most of these patients return to euthyroid state after a certain follow-up and only a few of them progress to overt hypothyroidism or hyperthyroidism. No statistically significant difference was found in present study when the diagnosis (T1D and T2D) and thyroid dysfunctions were compared (p>0.005). It was found that the distribution of thyroid dysfunction in T1D and T2D patients were similar. The lack of a significant relationship between DM type and thyroid dysfunctions is consistent with the literature. In their study, Barmpari et al.30 reported no statistically significant difference in the prevalence of hypothyroidism between T1DM and T2DM patients. However, the most common dysfunction in patients diagnosed with T1D was subclinical hypothyroidism, while the most common dysfunction in patients diagnosed with T2D was subclinical hyperthyroidism. The result found in T1D patients was consistent with the literature and it has been stated in many publications that the most common thyroid dysfunction in T1D patients is hypothyroidism.
The fact that the study included a higher number of patients compared to similar studies in the literature increases the reliability of the study results. The retrospective nature of the study and the large number of patients limited the ability to obtain additional examinations from the patients and the inclusion of the patients’ clinics in the study. It is recommended that patients thyroid imaging results, such as ultrasound sonography test (USG) or scintigraphy, be included in future studies.
CONCLUSION
In the present study, it was determined that the development of thyroid dysfunction in patients with diabetes mellitus is associated with age and gender. It was determined that the most common thyroid dysfunction in the patient group was subclinical hyperthyroidism, followed by subclinical hypothyroidism. As a result of the data obtained in this study, it is strongly recommended that diabetes mellitus patients, especially women, should be screened for thyroid autoimmunity and dysfunctions.
SIGNIFICANCE STATEMENT
The aim of this study is to investigate thyroid dysfunctions in patients with diabetes mellitus (DM) and to determine the risk factors for thyroid diseases accompanying diabetes. It was found that thyroid dysfunctions were more common in women and their incidence increased with age. As a result of the research, supports diabetic patients to have regular thyroid function checks, as recommended in the ADA guidelines.
REFERENCES
- Biondi, B., G.J. Kahaly and R.P. Robertson, 2019. Thyroid dysfunction and diabetes mellitus: Two closely associated disorders. Endocr. Rev., 40: 789-824.
- Daneman, D., 2006. Type 1 diabetes. Lancet, 367: 847-858.
- ADA, 2021. Classification and diagnosis of diabetes: Standards of medical care in diabetes-2021. Diabetes Care, 44: S15-S33.
- Agache, A., P. Mustăţea, O. Mihalache, F.T. Bobirca and D.E. Georgescu et al., 2018. Diabetes mellitus as a risk-factor for colorectal cancer literature review-Current situation and future perspectives. Chirurgia, 113: 603-610.
- Antonio-Villa, N.E., L. Fernández-Chirino, A. Vargas-Vázquez, C.A. Fermín-Martínez, C.A. Aguilar-Salinas and O.Y. Bello-Chavolla, 2022. Prevalence trends of diabetes subgroups in the United States: A data-driven analysis spanning three decades from NHANES (1988-2018). J. Clin. Endocrinol. Metab., 107: 735-742.
- American Diabetes Association, 2013. Diagnosis and classification of diabetes mellitus. Diabetes Care, 36: S67-S74.
- Skyler, J.S., G.L. Bakris, E. Bonifacio, T. Darsow and R.H. Eckel et al., 2017. Differentiation of diabetes by pathophysiology, natural history, and prognosis. Diabetes, 66: 241-255.
- Insel, R.A., J.L. Dunne, M.A. Atkinson, J.L. Chiang and D. Dabelea et al., 2015. Staging presymptomatic type 1 diabetes: A scientific statement of JDRF, the endocrine society, and the American diabetes association. Diabetes Care, 38: 1964-1974.
- Serdar, M.A., M. Serteser, Y. Ucal, H.F. Karpuzoglu and F.B. Aksungar et al., 2020. An assessment of HbA1c in diabetes mellitus and pre-diabetes diagnosis: A multi-centered data mining study. Appl. Biochem. Biotechnol., 190: 44-56.
- Kaul, K., J.M. Tarr, S.I. Ahmad, E.M. Kohner and R. Chibber, 2013. Introduction to Diabetes Mellitus. In: Diabetes: An Old Disease, a New Insight, Ahmad, S.I. (Ed.), Springer, New York, ISBN: 978-1-4614-5441-0, pp: 1-11.
- Aguayo-Mazzucato, C., P. Diaque, S. Hernandez, S. Rosas, A. Kostic and A.E. Caballero, 2019. Understanding the growing epidemic of type 2 diabetes in the Hispanic population living in the United States. Diabetes Metab. Res., 35.
- Sarfo-Kantanka, O., F.S. Sarfo, E.O. Ansah, E. Yorke, J. Akpalu, B.C. Nkum and B. Eghan, 2017. Frequency and determinants of thyroid autoimmunity in Ghanaian type 2 diabetes patients: A case-control study. BMC Endocr. Disord., 17.
- Nederstigt, C., E.P.M. Corssmit, E.J.P. de Koning and O.M. Dekkers, 2016. Incidence and prevalence of thyroid dysfunction in type 1 diabetes. J. Diabetes Complications, 30: 420-425.
- Umpierrez, G.E., K.A. Latif, M.B. Murphy, H.C. Lambeth, F. Stentz, A. Bush and A.E. Kitabchi, 2003. Thyroid dysfunction in patients with type 1 diabetes: A longitudinal study. Diabetes Care, 26: 1181-1185.
- Cooper, D.S. and B. Biondi, 2012. Subclinical thyroid disease. Lancet, 379: 1142-1154.
- McLeod, D.S.A. and D.S. Cooper, 2012. The incidence and prevalence of thyroid autoimmunity. Endocrine, 42: 252-265.
- van den Driessche, A., V. Eenkhoorn, L. van Gaal and C. de Block, 2009. Type 1 diabetes and autoimmune polyglandular syndrome: A clinical review. Neth. J. Med., 67: 376-387.
- Pisarev, M.A., 2010. Interrelationships between the pancreas and the thyroid. Curr. Opin. Endocrinol. Diabetes Obesity, 17: 437-439.
- Elebrashy, I.N., A. El Meligi, L. Rashed, R.F. Salam, E. Youseef and S.A. Fathy, 2016. Thyroid dysfunction among type 2 diabetic female Egyptian subjects. Ther. Clin. Risk Manage., 12: 1757-1762.
- Chen, H.S., T.E.J. Wu, T.S. Jap, R.A. Lu, M.L. Wang, R.L. Chen and H.D. Lin, 2007. Subclinical hypothyroidism is a risk factor for nephropathy and cardiovascular diseases in type 2 diabetic patients. Diabetic Med., 24: 1336-1344.
- Rodacki, M., L. Zajdenverg, J.R. Dantas, J.E.P. de Oliveira and R.R. Luiz et al., 2014. Should thyroid-stimulating hormone goals be reviewed in patients with type 1 diabetes mellitus? results from the Brazilian type 1 diabetes study group. Diabetic Med., 31: 1665-1672.
- Pappa, T. and M. Alevizaki, 2013. Metformin and thyroid: An update. Eur. Thyroid J., 2: 22-28.
- Rezzónico, J., M. Rezzónico, E. Pusiol, F. Pitoia and H. Niepomniszcze, 2011. Metformin treatment for small benign thyroid nodules in patients with insulin resistance. Metab. Syndr. Relat. Disord., 9: 69-75.
- Wiersinga, W.M., 1995. Subclinical hypothyroidism and hyperthyroidism. I. Prevalence and clinical relevance. Neth. J. Med., 46: 197-204.
- Kadiyala, R., R. Peter and O.E. Okosieme, 2010. Thyroid dysfunction in patients with diabetes: Clinical implications and screening strategies. Int. J. Clin. Pract., 64: 1130-1139.
- Papazafiropoulou, A., A. Sotiropoulos, A. Kokolaki, M. Kardara, P. Stamataki and S. Pappas, 2010. Prevalence of thyroid dysfunction among greek type 2 diabetic patients attending an outpatient clinic. J. Clin. Med. Res., 2: 75-78.
- Macvanin, M.T., Z.M. Gluvic, B.L. Zaric, M. Essack, X. Gao and E.R. Isenovic, 2023. New biomarkers: Prospect for diagnosis and monitoring of thyroid disease. Front. Endocrinol., 14.
- Turner, C. and S. Kadiyala, 2020. Reply to LL Mendes et al. Adv. Nutr., 11: 1045-1047.
- Mogre, V., Z.O. Abanga, F. Tzelepis, N.A. Johnson and C. Paul, 2017. Adherence to and factors associated with self-care behaviours in type 2 diabetes patients in Ghana. BMC Endocr. Disord., 17.
- Barmpari, M.E., M. Kokkorou, A. Micheli, I. Alexiou, E. Spanou, M. Noutsou and A. Thanopoulou, 2017. Thyroid dysfunction among Greek patients with type 1 and type 2 diabetes mellitus as a disregarded comorbidity. J. Diabetes Res., 2017.
- Duntas, L.H., J. Orgiazzi and G. Brabant, 2011. The interface between thyroid and diabetes mellitus. Clin. Endocrinol., 75: 1-9.
- Edqvist, J., A. Rawshani, A. Rawshani, M. Adiels and S. Franzén et al., 2021. Trajectories in HbA1c and other risk factors among adults with type 1 diabetes by age at onset. BMJ Open Diab. Res. Care, 9.
How to Cite this paper?
APA-7 Style
Coskunpinar,
E., Engin,
B.N., Tur,
S., Cagiltay ,
E. (2024). Investigation of Thyroid Dysfunctions Among Type-1 and Type-2 Diabetes Mellitus Patients. Trends in Medical Research, 19(1), 236-244. https://doi.org/10.3923/tmr.2024.236.244
ACS Style
Coskunpinar,
E.; Engin,
B.N.; Tur,
S.; Cagiltay ,
E. Investigation of Thyroid Dysfunctions Among Type-1 and Type-2 Diabetes Mellitus Patients. Trends Med. Res 2024, 19, 236-244. https://doi.org/10.3923/tmr.2024.236.244
AMA Style
Coskunpinar
E, Engin
BN, Tur
S, Cagiltay
E. Investigation of Thyroid Dysfunctions Among Type-1 and Type-2 Diabetes Mellitus Patients. Trends in Medical Research. 2024; 19(1): 236-244. https://doi.org/10.3923/tmr.2024.236.244
Chicago/Turabian Style
Coskunpinar, Ender, Betul Nilgun Engin, Seymanur Tur, and Eylem Cagiltay .
2024. "Investigation of Thyroid Dysfunctions Among Type-1 and Type-2 Diabetes Mellitus Patients" Trends in Medical Research 19, no. 1: 236-244. https://doi.org/10.3923/tmr.2024.236.244
This work is licensed under a Creative Commons Attribution 4.0 International License.