scholarly journals To Evaluate the Relationship of Risk Factor Between Diabetes Mellitus and Thyroid Dysfunction (Thyrobetes)

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A421-A422
Author(s):  
Madhumati Varma
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factor ◽  
Blood Glucose ◽  
Statistical Analysis ◽  
Thyroid Hormone ◽  
Thyroid Disease ◽  
Thyroid Dysfunction ◽  
Thyroid Diseases ◽  
Free T4 ◽  
Increased Risk

Abstract Introduction: Type 2 diabetes and thyroid dysfunction are common endocrine disorder and shown mutually influence each other. As per the GOQii is a smart-tech enabled, integrated preventive healthcare platform headquartered in California, diabetes has increased from 7.1 to 12% this year. “The incidence of diabetes is highest among older adults at 23.81 per cent and seniors at 36.82 per cent.” As per the report, 13.5% of Indians have cholesterol issues. This past year, thyroid issues have increased from 6.8% to 10.7%. The thyrobetes illustrates relationship the between thyroid diseases and diabetes mellitus. Objective of the Study: This study’s objectives are as follows:To define the interrelation of factors responsible for the link between diabetes and thyroid disease development;To estimate thyroid hormone TSH, free T3, free T4, lipid profile, blood glucose fasting and PP, HbA1c, S. Insulin, ant-TPO antibodies, and USG neck for some thyroid patients;To describe each factor correlation between developing diabetes and thyroid diseases; andTo explain preventive measures for diabetes and thyroid diseases. Research problem of the studyThere are an increasing number of patients who experience diabetes mellitus, hypothyroidism and other types of thyroid dysfunction, but it is difficult to say which disease occurs first. This study seeks to identify the overlapping risk factor for diabetes and thyroid dysfunction. Review of literatureType 2 diabetes mellitus and thyroid dysfunction (TD) are two major public health endocrine problems. The status of iodine and thyroid with diabetic patients less studied. Materials and Methods: The study included 300 patients of diabetes and thyroid dysfunction. The questionnaires were used to record the findings on thyroid hormone TSH, free T3, free T4, lipid profile, blood glucose fasting and PP, and USG neck for some thyroid patients. Inclusion criteria:Sample size -300 patientsNo limit to the age groupNew or follow up cases of diabetic mellitus and thyroid diseaseExclusion criteria:Patients who had an acute illness that affects thyroid gland activityPatients who consumed drugs that could influence the thyroid hormone statusPatients who had feverData collection and tools for statistical analysisInstruments used for analyzing the samples that are availability at JNU hospital. Statistical Analysis: Statistical analysis will be performed by using SPSS software, student ‘t’ tests, and Pearson’s correlation; if the P* value < 0.005, then it will considered to be statistically significant. Conclusion: Thyroid disease and diabetes are two intertwined conditions. If you have a thyroid condition, you’re at an increased risk for developing diabetes, and if you have diabetes, you’re at an increased risk for thyroid disease.

scholarly journals Guidelines for diagnosis and monitoring of thyroid disease: nonthyroidal illness

1996 ◽  
Vol 42 (1) ◽  
pp. 188-192 ◽  
Author(s):  
J R Stockigt
Keyword(s):  
Positive Predictive Value ◽  
Clinical Features ◽  
Thyroid Function ◽  
Predictive Value ◽  
Thyroid Disease ◽  
Thyroid Dysfunction ◽  
Reference Intervals ◽  
Free T4 ◽  
Prognostic Information ◽  
Increased Risk

Abstract On the basis of low specificity, poor positive predictive value, and cost, there is at present no basis for routine assessment of thyroid function in acutely hospitalized patients, unless clinical features suggest the possibility of thyroid dysfunction, or a patient's background increases the likelihood of thyroid dysfunction. When used in severely ill patients, estimates of both thyroxine (T4) and thyrotropin (TSH) show a high prevalence of abnormal results, but lack specificity and have poor positive predictive value for true thyroid disease. When thyroid function is tested in the critically ill, the positive predictive value for true thyroid disease of both free T4 and TSH measurements could be improved by using wider reference intervals than for unselected populations. The knowledge of nonspecific disease-related abnormalities of triiodothyronine, T4, and TSH is not currently likely to yield useful prognostic information or to alter management for individual patients. Thyroid testing should be readily available for any acutely ill patient with any clinical features that suggest thyroid dysfunction, and for groups at increased risk of thyroid dysfunction. An initial abnormal result for either TSH or free T4 estimate should be followed by combined analysis of free T4 and TSH with the best available methodology. Diagnosis of thyroid dysfunction should be based on the T4-TSH relation rather than either value alone. Persistence of an apparent diagnostic abnormality should be confirmed before therapy is commenced.

Thyroid Dysfunction in Pregnant Women with Gestational Diabetes Mellitus

2020 ◽  
Vol 16 (8) ◽  
pp. 895-899 ◽  
Author(s):  
Shahin Safian ◽  
Farzaneh Esna-Ashari ◽  
Shiva Borzouei
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Thyroid Dysfunction ◽  
Control Group ◽  
Thyroid Peroxidase ◽  
Free T4 ◽  
Significant Difference ◽  
Experimental Group

Aims: Investigation thyroid dysfunction and autoimmunity in pregnant women with gestational diabetes mellitus. Background: This article was written to evaluate the thyroid function and anti-thyroid peroxidase (anti- TPO) antibodies in pregnant women with gestational diabetes mellitus (GDM). Method: A total of 252 women with GDM and 252 healthy pregnant women were enrolled. Thyroid tests, including TSH, FreeT3, Free T4, and anti-TPO were performed for all women at 24–28 weeks of gestation. Data analysis was then carried out using SPSS ver. 22. Result: There was a significant difference between the experimental group (38.4%) and the control group (14.06%) in terms of the prevalence of subclinical hypothyroidism (p= 0.016). The frequency of anti-TPO was higher in the experimental group than the control group and positive anti-TPO was observed in 18.6% of women with GDM and 10.3% of healthy pregnant women (P= 0.008). Conclusion: Thyroid disorders are observed in pregnant women with GDM more frequently than healthy individuals and it may be thus reasonable to perform thyroid tests routinely.

scholarly journals Associations of markers of arterial stiffness and remodeling with new-onset type 2 diabetes mellitus

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
F Ahmadizar ◽  
K Wang ◽  
F Mattace Raso ◽  
MA Ikram ◽  
M Kavousi
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Blood Glucose ◽  
Arterial Stiffness ◽  
Wall Stress ◽  
Lipid Lowering ◽  
Circumferential Wall Stress ◽  
Increased Risk

Abstract Funding Acknowledgements Type of funding sources: None. Background. Arterial stiffness/remodeling results in impaired blood flow and, eventually, decreased glucose disposal in peripheral tissues and increased blood glucose. Besides, increased arterial stiffness/remodeling may lead to hypertension, as a potential reciprocal risk factor for type 2 diabetes mellitus (T2D). We, therefore, hypothesized that increased arterial stiffness/remodeling is associated with an increased risk of T2D. Purpose. To study the associations between arterial stiffness/remodeling and incident T2D. Methods. We used the prospective population-based Rotterdam Study. Common carotid arterial properties were ultrasonically determined in plaque-free areas. Aortic stiffness was estimated by carotid-femoral pulse wave velocity (cf_PWV), carotid stiffness was estimated by the carotid distensibility coefficient (carDC). Arterial remodeling was estimated by carotid artery lumen diameter (carDi), carotid intima-media thickness (cIMT), mean circumferential wall stress (CWSmean), and pulsatile circumferential wall stress (CWSpuls). Cox proportional hazard regression analysis was used to estimate the associations between arterial stiffness/remodeling and the risk of incident T2D, adjusted for age, sex, cohort, mean arterial pressure (MAP), antihypertensive medications, heart rate, non- high-density lipoprotein (HDL)-cholesterol, lipid-lowering medications, and smoking. We included interaction terms in the fully adjusted models to study whether any significant associations were modified by sex, age, blood glucose, or MAP. Spearman correlation analyses were applied to examine the correlations between measurements of arterial stiffness/remodeling and glycemic traits. Results. We included 3,055 individuals free of T2D at baseline (mean (SD) age, 67.2 (7.9) years). During a median follow-up of 14.0 years, 395 (12.9%) T2D occurred. After adjustments, higher cf_PWV (hazard ratio (HR),1.18; 95%CI:1.04-1.35), carDi (1.17; 1.04-1.32), cIMT (1.15; 1.01-1.32), and CWSpuls (1.28; 1.12-1.47) were associated with increased risk of incident T2D. After further adjustment for the baseline glucose, the associations attenuated but remained statistically significant. Sex, age, blood glucose, or MAP did not modify the associations between measurements of arterial stiffness/remodeling, and incident T2D. Among the population with prediabetes at baseline (n = 513) compared to the general population, larger cIMT was associated with a greater increase in the risk of T2D. Most measurements of arterial stiffness/remodeling significantly but weakly correlated with baseline glycemic traits, particularly with blood glucose.  Conclusions. Our study suggests that greater arterial stiffness/remodeling is independently associated with an increased risk of T2D development. Blood glucose and hypertension do not seem to play significant roles in these associations. Further studies should disentangle the underlying mechanism that links arterial stiffness/remodeling and T2D.

Association of Acrochordons with Diabetes Mellitus - A Hospital based Case Control Study

2021 ◽  
Vol 4 (1) ◽  
pp. 51-60
Author(s):  
Sunita Karki ◽  
Anjan Rai ◽  
Manish Pradhan
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Postprandial Glucose ◽  
Early Screening ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Increased Risk ◽  
Skin Tags ◽  
And Gender ◽  
Control Study

Introduction Acrochordons or skin tags are common benign cutaneous tumors that occur especially over the neck and major flexures. A possible association between diabetes mellitus and dyslipidemia is observed in numerous past studies with varying results. We aim to find out the association of diabetes mellitus with acrochordons Methods: One hundred patients were enrolled in our study. Among them, 50 (27 males and 23 females) with skin tags were selected as cases and 50 with other dermatologic diseases after matching age and gender were taken as controls. Blood glucose levels including both fasting and postprandial glucose levels were determined for both cases and controls and compared. Results: There was a higher frequency of Diabetes Mellitus and impaired glucose tolerance in patients with skin tags in comparison to controls (p<0.001). Moreover, there were higher odds of acquiring skin tags in patient with abnormal blood glucose levels. Conclusions: There is an increased risk of developing DM in patients with skin tags. It is highly recommended that suspicion for Diabetes Mellitus is to be done in patients with skin tags for early screening and diagnosis of Diabetes.

scholarly journals Evaluation of type-2 diabetes mellitus patients for dyslipidemia in a tertiary care centre

2020 ◽  
Vol 7 (4) ◽  
pp. 586
Author(s):  
Janak G. Chokshi ◽  
Apal P. Gandhi ◽  
Ishvarlal M. Parmar ◽  
Dipen R. Damor
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Total Cholesterol ◽  
Plasma Glucose ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Diabetic Patients ◽  
Low Density ◽  
Increased Risk

Background: Diabetes mellitus (DM) is a syndrome consisting of metabolic, vascular and neuropathic components that are interrelated. Diabetes mellitus is associated with a considerably increased risk of premature atherosclerosis, particularly coronary heart disease (CHD) and peripheral arterial disease. Dyslipidemia is a common feature of diabetes. There is an association between atherosclerotic cardiovascular disease and serum cholesterol and triglyceride levels in both type 1 and type 2 diabetes.Methods: The study was done on 50 adult diabetes mellitus (T2) patients from IPD of General Medicine wards at SMS Hospital, Ahmedabad, Gujarat. 50 healthy age and sex matched healthy volunteers were taken as control. They were evaluated for lipid profile i.e., Total Cholesterol (TC),Triglyceride (TG), Low-density lipoprotein (LDL), High density lipoprotein (HDL), Very low density lipoprotein (VLDL) and glycemic status i.e., Fasting blood glucose (FBS), Postprandial 2 hours blood glucose (PP2BS) & Glycosylated haemoglobin(HbA1C).Results: Diabetic cases had statistically highly significant (p<0.001) elevated levels of total Cholesterol, Triglycerides and VLDL as compared to controls. Serum TG, serum TC, LDL-C and VLDL-C had positive correlation with the postprandial plasma glucose, fasting plasma glucose and HbA1c.Conclusions: Significant correlations between HbA1c levels and lipid levels point towards the usefulness of HbA1c for screening high-risk diabetic patients. High TC, TG, LDL-C and HbA1c with normal or low HDL-C is seen in almost all diabetic patients either alone or in combinations.

scholarly journals Aspects of hormonal testing of thyroid function in patients with type 1 diabetes mellitus and chronic kidney disease

2021 ◽  
Vol 17 (1) ◽  
pp. 32-37
Author(s):  
A.G. Sazonova ◽  
T.V. Mokhort ◽  
N.V. Karalovich
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Type 1 Diabetes Mellitus ◽  
Thyroid Function ◽  
Thyroid Dysfunction ◽  
Thyroid Disorders ◽  
Free T4 ◽  
Free T3 ◽  
Peripheral Conversion

Background. Chronic kidney disease (CKD) is known to affect the thyroid axis, including thyroid hormone metabolism. It has been established that a decrease in renal function can be combined with changes in thyroid function. Thyroid dysfunction also has implications for renal blood flow, glomerular filtration rate (GFR), tubular transport, electrolyte homeostasis, and glomerular structure. The purpose of the study was to determine the features of thyroid function in patients with type 1 diabetes mellitus (T1DM) and CKD and develop recommendations for hormonal testing of thyroid pathology. Materials and methods. One hundred and twenty-one patients with T1DM with CKD were divided into 3 groups: group 1 — 78 individuals with GFR ≤ 60 ml/min/1.73 m2, group 2 — 20 people receiving renal replacement therapy (RRT), group 3 — 23 patients after renal transplantation (RT) with adequate graft function (the duration of the renal transplant is 3.62 (1.47; 4.28) years). Results. In T1DM and CKD group, the diagnostic value of thyroid-stimulating hormone is reduced due to the absence of differences in its values with a decrease in T4 and T3. Free T3 is the most sensitive marker of thyroid dysfunction in CKD. Thyroid disorders in T1D and CKD patients have a non-immune genesis. T1DM patients on RRT after hemodialysis (HD) procedure have an increase in total and free T4 and free T3, consequently, monitoring of thyroid disorders should be done immediately after the HD session. The restoration of normal values of peripheral conversion index and free T3 occurs within 1–2 years after TR, depending on the duration of RRT receiving. After more than 3 post-transplantation years, there is an increase in peripheral conversion index, which characterizes the imbalance of peripheral thyroid hormones towards a decrease in free T3 with relatively stable free T4. Conclusions. Thyroid dysfunctions are typical for all stages of the pathological process in CKD in patients with type 1 diabetes mellitus, including patients at the terminal stage and after successful kidney transplantation. The changes in thyroid hormones are associated with the RRT experience and can potentially affect the survival of patients.

scholarly journals The role of selenium in the pathogenesis of thyroid disease

2019 ◽  
Vol 14 (4) ◽  
pp. 192-205 ◽  
Author(s):  
Ekaterina A. Troshina ◽  
Evgeniya S. Senyushkina ◽  
Maria A. Terekhova
Keyword(s):  
Immune Response ◽  
Thyroid Disease ◽  
Animal Experiments ◽  
Optimal Level ◽  
Thyroid Diseases ◽  
Autoimmune Thyroid Diseases ◽  
Autoimmune Thyroid ◽  
Increased Risk ◽  
Combined Deficiency

The past few years have been actively discussing the role of individual macro- and micronutrients as factors regulating the functional activity of organs and systems and reducing the risk of developing a number of diseases, including thyroid diseases. Selenium is one of the most important and intensively studied at present microelements. According to several studies, its low plasma level is associated with an increased risk of developing autoimmune thyroid diseases. In animal experiments, it was shown that a combined deficiency of selenium and iodine leads to more pronounced hypothyroidism than iodine deficiency alone. Some authors believe that cretinism in the newborn is a consequence of the combined deficiency of these two elements in the mother. It is also important that the optimal level of selenium is necessary both to initiate an immune response and to regulate an excessive immune response, as well as chronic inflammation. The review article discusses the relationship between selenium and thyroid pathology, discusses the role of selenium in the physiology of the thyroid gland and in the development of autoimmune diseases. The biochemical aspects of the pathogenesis of thyroid disease are presented.

Thyroid Hormone Therapy and Incident Stroke

2021 ◽  
Author(s):  
Maria Papaleontiou ◽  
Deborah A Levine ◽  
David Reyes-Gastelum ◽  
Sarah T Hawley ◽  
Mousumi Banerjee ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Thyroid Hormone ◽  
Hormone Treatment ◽  
Population Based ◽  
Thyroid Stimulating Hormone ◽  
Prior History ◽  
Veterans Health ◽  
Health Administration ◽  
Free T4 ◽  
Increased Risk

Abstract Context Stroke is a leading cause of death and disability and there is a need to identify modifiable risk factors. Objective Determine the relationship between thyroid hormone treatment intensity and incidence of atrial fibrillation and stroke. Design Retrospective cohort study using data from the Veterans Health Administration between 2004 and 2017, with a median follow-up of 59 months. Setting Population-based. Participants 733,208 thyroid hormone users aged ≥18 years with at least two thyroid stimulating hormone (TSH) measurements between thyroid hormone initiation and incident event or study conclusion (406,030 thyroid hormone users with at least two free T4 measurements). Main Outcome Measures Incident atrial fibrillation and stroke. Results Overall, 71,333/643,687 (11.08%) participants developed incident atrial fibrillation and 41,931/663,809 (6.32%) stroke. In multivariable analyses controlling for pertinent factors such as age, sex and prior history of atrial fibrillation, low TSH or high free T4 levels (i.e., exogenous hyperthyroidism; e.g., TSH&lt;0.1 mIU/L, OR 1.33, 95% CI 1.24-1.43) and high TSH or low free T4 levels (i.e., exogenous hypothyroidism; e.g., TSH&gt;5.5 mIU/L, OR 1.29, 95% CI 1.26-1.33; free T4&lt;0.7 ng/dL, OR 1.29, 95% CI 1.22-1.35) were associated with higher incidence of stroke compared to euthyroidism (TSH &gt;0.5-5.5 mIU/L and free T4 0.7-1.9 ng/dL). Risk of developing atrial fibrillation and stroke was cumulative over time for both patients with exogenous hyperthyroidism and hypothyroidism. Conclusions Both exogenous hyper- and hypothyroidism were associated with increased risk of stroke, highlighting the importance of patient medication safety.

Endocrinology

2014 ◽  
Author(s):  
Tim Raine ◽  
James Dawson ◽  
Stephan Sanders ◽  
Simon Eccles
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Thyroid Disease ◽  
Adrenal Disease

Hypoglycaemia emergencyHypoglycaemiaHyperglycaemia emergencyHyperglycaemiaSliding scalesDiabetes mellitusPituitary axisAdrenal diseaseThyroid diseaseCall for senior help early if patient deteriorating.• Blood glucose is normally >3.5mmol/l• Poorly controlled diabetics can have symptoms of hypoglycaemia with a glucose >3.5mmol/l.• Protect airway...

scholarly journals Impact of sleep duration during pregnancy on the risk of gestational diabetes in the Japan environmental and Children’s study (JECS)

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Mai Myoga ◽  
◽  
Mayumi Tsuji ◽  
Rie Tanaka ◽  
Eiji Shibata ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factor ◽  
Blood Glucose ◽  
Gestational Diabetes ◽  
Sleep Duration ◽  
Reference Group ◽  
Oral Glucose ◽  
Random Blood Glucose ◽  
Glucose Levels ◽  
Blood Glucose Levels

Abstract Background Gestational diabetes mellitus (GDM) has serious effects on both mother and child. Like Type 2 Diabetes Mellitus, it is increasing in prevalence world-wide. In addition to obesity, sleep duration has been named an important risk factor. Using a large cohort study, including data from 48,787 participants of the Japan Environment and Children’s Study (JECS), we examined the association between sleep duration and both random blood glucose levels and GDM rates during pregnancy. Methods Random blood glucose levels were measured during pregnancy. GDM diagnosis was based on the results of 75 g oral glucose tolerance test. Additional anthropometric data was collected from questionnaires for statistical analysis. Results Compared to mothers averaging 7 to < 10 h sleep (reference group), women receiving < 5 h or ≥ 10 h sleep exhibited significantly elevated random blood glucose levels. This was associated with an elevated risk for positive GDM screening (< 5 h sleep: OR 1.17 (0.96–1.44) p = 0.126; ≥10 h sleep: OR 1.13 (1.03–1.25) p = 0.006). Calculating the risk for GDM, women sleeping < 5 h or ≥ 10 h exhibited elevated risks of 1.31-fold and 1.21 respectively. However, this trend was not found to be significant. Conclusions Sleep is a critical factor in glucose metabolism, with both abnormally long and short sleep duration increasing random blood glucose levels in pregnant women. Moreover, the risk for positive GDM screening increases significantly with elevated sleep, ≥10 h per night. These findings are promising because they support the idea that sleep duration is a modifiable risk factor, and can be focused upon to improve health and pregnancy outcome.

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