The prevalence of thyroid nodules and its factors among Chinese adult women: A cross-sectional study

Detection of novel organophosphorus flame retardants and plasticizers in children urines: Associations with oxidative stress damage and thyroid nodule risk

Organophosphorus flame retardants and plasticizers (OPFRs) are prevalent and raise health concerns due to their endocrine-disrupting properties. Clinically detectable thyroid nodules are less common in children than in adults but pose a higher malignancy risk. The effects of OPFRs on children's thyroid nodules and their relation to oxidative stress remain unknown. This cross-sectional study analyzed concentrations of seven OPFRs and three oxidative stress biomarkers (OSBs), namely 8-oxo-7,8-dihydro-2'-deoxyguanosine (8-OHdG), malondialdehyde, and o, o'-dityrosine (diY) in 521 urine samples from children in a coastal urbanized region. Median creatinine-adjusted levels of the seven OPFRs ranged from 0.02 to 0.64 μg/g. Triphenyl phosphine oxide (TPPO) was detected for the first time in children urine. Diphenyl phosphate (DPHP) and isopropyl phenyl phosphate (ip-PPP) were frequently detected, with median levels of 0.46 μg/g and 0.64 μg/g, respectively. Multiple linear regression analyses and mixture models demonstrated that seven OPFRs were positively associated with three OSBs. Furthermore, logistic regression analysis revealed that urinary TPPO and tris(1-chloro-2-propyl) phosphate (TCIPP) were associated with thyroid nodule risk in children, and TPPO and TCIPP further demonstrated sex-dependent association with thyroid nodule risk particularly in girls, although OSBs did not show significant mediating effects. Overall, further studies are warranted to explore the potential mechanisms linking thyroid health with OPFRs exposure and oxidative stress, particularly in children.

Adiposity Is Associated with a Higher Risk of Thyroid Malignancy in Patients with Hashimoto's Thyroiditis

Background/Objectives: Both adiposity and Hashimoto's thyroiditis (HT) are states of chronic inflammation. Adiposity may increase the risk of thyroid nodules and thyroid carcinoma. However, its role in patients with HT remains unclear. The connections among thyroid nodularity, adiposity, and HT have not been explored. Aim: To investigate the impact of adiposity on thyroid nodularity in patients with HΤ and to determine whether there are any differences in the risk for thyroid cancer. Methods: This retrospective cohort study included 294 consecutive patients with HT who were categorized according to their body mass index (BMI). Grayscale ultrasound (US) and fine-needle aspiration (FNA) cytology results were evaluated in association with clinicopathological characteristics. Results: After controlling for age and gender, nodules from patients with a BMI ≥ 25 kg/m2 showed significantly more suspicious or malignant cytology (Thy 4-5) compared to patients with a BMI < 25 kg/m2 (27.03% vs. 18.18%; p < 0.01). Although not statistically significant after adjustments, patients with BMI ≥ 25 kg/m2 demonstrated a higher proportion of nodules classified as highly suspicious on ultrasound (28.20% vs. 22.46%). Additionally, overweight and obese patients tended to have more thyroid nodules (mean ± SD: 2.91 ± 2.11) than normal-weight patients (2.36 ± 1.79), a difference approaching marginal significance (p = 0.06). Conclusions: Adiposity is associated with more suspicious and malignant cytology in patients with HT. Overweight and obese patients with HT tended to have more thyroid nodules. Further studies are needed to investigate the mechanisms linking obesity, thyroid nodules, and HT.

Prevalence and predictors of thyroid nodules among adults: analyzing the association with metabolic syndrome in a cross-sectional study

BACKGROUND

Thyroid nodules are prevalent clinical findings with potential for malignancy, particularly in aging populations. Metabolic syndrome, characterized by interrelated metabolic abnormalities, has been implicated as a potential risk factor. This study explores the prevalence of thyroid nodules and their association with metabolic syndrome, leveraging data from a large cohort.

METHODS

A cross-sectional study was conducted within the Persian Organizational Cohort in Mashhad, comprising 4,121 participants aged 35-70 years. Thyroid nodules were identified via ultrasonography, and metabolic syndrome was assessed using the NCEP ATP III criteria. Demographic, clinical, and laboratory data were analyzed using descriptive statistics, chi-square tests, and logistic regression models to identify predictors of thyroid nodules.

RESULTS

Thyroid nodules were detected in 27.4% of participants, with a higher prevalence in females (60%) than males (40%, p < 0.001). The average age of individuals with nodules was significantly higher than those without (47.9 vs. 43.5 years, p < 0.001). Metabolic syndrome prevalence was notably higher among those with thyroid nodules (5.3% vs. 3.8%, p = 0.028). Logistic regression analysis identified metabolic syndrome (OR = 1.43, p = 0.03), age (OR = 1.05 per year increase, p < 0.001), and gender as significant predictors of thyroid nodules.

CONCLUSION

Metabolic syndrome significantly predicts the presence of thyroid nodules, suggesting shared pathophysiological mechanisms, including chronic inflammation and hormonal dysregulation. These findings underscore the importance of integrating metabolic health management into thyroid nodule evaluation and highlight the need for multidisciplinary approaches to optimize care and prevention strategies.

Machine learning to predict the occurrence of thyroid nodules: towards a quantitative approach for judicious utilization of thyroid ultrasonography

Introduction

Ultrasound is instrumental in the early detection of thyroid nodules, which is crucial for appropriate management and favorable outcomes. However, there is a lack of clinical guidelines for the judicious use of thyroid ultrasonography in routine screening. Machine learning (ML) has been increasingly used on big data to predict clinical outcomes. This study aims to leverage the ML approach in assessing the risk of thyroid nodules based on common clinical features.

Methods

Data were sourced from a Chinese cohort undergoing routine physical examinations including thyroid ultrasonography between 2013 and 2023. Models were established to predict the 3-year risk of thyroid nodules based on patients' baseline characteristics and laboratory tests. Four ML algorithms, including logistic regression, random forest, extreme gradient boosting, and light gradient boosting machine, were trained and tested using fivefold cross-validation. The importance of each feature was measured by the permutation score. A nomogram was established to facilitate risk assessment in the clinical settings.

Results

The final dataset comprised 4,386 eligible subjects. Thyroid nodules were detected in 54.8% (n=2,404) individuals within the 3-year observation period. All ML models significantly outperformed the baseline regression model, successfully predicting the occurrence of thyroid nodules in approximately two-thirds of individuals. Age, high-density lipoprotein, fasting blood glucose and creatinine levels exhibited the highest impact on the outcome in these models. The nomogram showed consistency and validity, providing greater net benefits for clinical decision-making than other strategies.

Conclusion

This study demonstrates the viability of an ML-based approach in predicting the occurrence of thyroid nodules. The findings highlight the potential of ML models in identifying high-risk individuals for personalized screening, thereby guiding the judicious use of ultrasound in this context.

Establishment and validation of a multivariate logistic model for risk factors of thyroid nodules using lasso regression screening

Objective

This study aims to analyze the association between the occurrence of thyroid nodules and various factors and to establish a risk factor model for thyroid nodules.

Methods

The study population was divided into two groups: a group with thyroid nodules and a group without thyroid nodules. Regression with the least absolute shrinkage and selection operator (Lasso) was applied to the complete dataset for variable selection. Binary logistic regression was used to analyze the relationship between various influencing factors and the prevalence of thyroid nodules.

Results

Based on the screening results of Lasso regression and the subsequent establishment of the Binary Logistic Regression Model on the training dataset, it was found that advanced age (OR=1.046, 95% CI: 1.033-1.060), females (OR = 1.709, 95% CI: 1.342-2.181), overweight individuals (OR = 1.546, 95% CI: 1.165-2.058), individuals with impaired fasting glucose (OR = 1.590, 95% CI: 1.193-2.122), and those with dyslipidemia (OR = 1.588, 95% CI: 1.197-2.112) were potential risk factors for thyroid nodule disease (p<0.05). The area under the curve (AUC) of the receiver operating characteristic (ROC) curve for the Binary Logistic Regression Model is 0.68 (95% CI: 0.64-0.72).

Conclusions

advanced age, females, overweight individuals, those with impaired fasting glucose, and individuals with dyslipidemia are potential risk factors for thyroid nodule disease.

Influence of metabolic syndrome and lifestyle factors on thyroid nodules in Chinese adult men: a cross-sectional study

Introduction

Given the high prevalence of thyroid nodules and the potential for malignancy, it is imperative to understand the various factors that contribute to their development. This study aimed to explore the relationship between metabolic syndrome, lifestyle, and thyroid nodules in adult men in southern China.

Methods

This study enrolled a total of 183,990 subjects at a medical examination center in a general hospital in southern China between January 1, 2015, and December 31, 2020. Multivariate logistic regression analysis was utilized to evaluate the relationship between metabolic syndrome, lifestyle factors, and thyroid nodules. Furthermore, structural equation modeling elucidated the intricate relationships among these variables.

Results

The prevalence of thyroid nodules among Chinese adult males was 14.9%. Several factors were identified as risk factors for thyroid nodules, including advanced age, irregular meal time, smoking or quitting smoking, quitting drinking, heavy manual labor, hypertension, diabetes, dyslipidemia and centripetal obesity, and those belonging to ethnic minorities and drinking alcohol were found to be protective factors against thyroid nodules. Structural equation modeling highlighted metabolic syndrome's mediating role amidst lifestyle influences on thyroid nodules.

Conclusion

The prevalence of thyroid nodules in Chinese adult males is relatively moderate to low. The factors identified in this study can help clinicians identify high-risk patients and develop targeted screening strategies for the timely detection of thyroid nodules. However, further mechanistic research and longitudinal studies are necessary to explore the underlying causes and establish causal relationships.

Relation between iodine nutrition and thyroid diseases in Qinghai, China

Objective

To investigate the adult iodine nutrition and the prevalence of thyroid diseases in Qinghai Province, and analyze the correlation between iodine and thyroid diseases, so as to provide a basis for adjusting the salt iodization plan in Qinghai Province.

Methods

Using cluster and stratified sampling method to select 2628 permanent residents over 18 years old in Qinghai Province for questionnaire survey, physical examination, thyroid color ultrasound, and laboratory index detection.

Results

1. The coverage of iodized salt in adults is 99.71%. 2. The detection rates of thyroid disorders in adults were as follows: Clinical hyperthyroidism was 1.20%, subclinical hyperthyroidism was 0.20%, clinical hypothyroidism was 1.00%, subclinical hypothyroidism was 29.20%, and the goiter was 2.10%. The percentages positivity of TPO Ab, TG Ab, goiter was 9.80%, 9.20%, 2.10%, respectively. Among them single thyroid nodule was 6.40%, multi-nodule thyroid gland was 1.80%. 3. The percentages of mild iodine deficiency, moderate iodine deficiency, Severe iodine deficiency, adequate iodine intake (AI), more than adequate iodine intake (MAI)and excessive iodine intake (EI)were 8.41%, 2.17%, 0.26%, 33.22%, 28.35%, and 27.59%, respectively. The percentages of mild, moderate and severe iodine deficiency in urban populations (7.13%, 0.87%, 0.0%) were significantly lower than those in rural populations (9.81%, 3.59%, 0.56%) (P < 0.05), and the rates of adequate, more than adequate iodine intake in urban populations (36.03%, 30.93%) were significantly higher than that in rural populations (30.14%, 25.52%). The rate of excess iodine intake was higher in rural areas (30.38%) than in urban areas (25.04%). 4. The positive rates of subclinical hypothyroidism, goiter, TPO Ab and TG Ab in female adults (35.28%, 3.39%, 13.54%, 13.94%) were higher than those in male adults (23.58%, 0.96%, 6.266%, 4.79%). The detection rate of single thyroid nodules was higher in urban (8.01%) than rural populations (4.70%), while the detection rate of hypothyroidism, subclinical hypothyroidism, and goiter (0.58%, 25.84%, 1.38%) was lower than that in rural populations (1.52%, 32.96%, 2.96%) (P<0.05). 5. There was no statistical significance in the detection rates of clinical hyperthyroidism, subclinical hypothyroidism, subclinical hypothyroidism, goiter, thyroid nodules, TPO Ab and TG Ab positive rates in different iodine nutritional status (P>0.05). The positive rate of hypothyroidism in the iodine deficiency group is higher than in other iodine nutrition groups.

Conclusion

The nutritional status of iodine in Qinghai Province is iodine excess. Subclinical hypothyroidism was detected at a high rate. Subclinical hypothyroidism, goiter, TPO Ab, and TG Ab were more common in female than in male. The proportion of mild, moderate, and severe iodine deficiency was higher in urban areas than in rural areas. The detection rate of thyroid nodules was higher in urban than in rural areas, and that of hypothyroidism, subclinical hypothyroidism, and goiter was lower than that in rural populations. The detection rate of clinical hypothyroidism was statistically significant in different iodine nutritional states (P< 0.05).

Thyroid Nodules and Obesity

A widely discussed topic in the pathophysiology of thyroid nodules is the role of obesity, a state that leads to increased systemic inflammatory markers. Leptin plays a vital role in forming thyroid nodules and cancer through several mechanisms. Together with chronic inflammation, there is an augmentation in the secretion of tumor necrosis factor (TNF) and the cytokine interleukin 6 (IL-6), which contributed to cancer development, progression and metastasis. In addition, leptin exerts a modulatory action in the growth, proliferation and invasion of thyroid carcinoma cell lines via activating various signal pathways, such as Janus kinase/signal transducer and activator of transcription, mitogen-activated protein kinase (MAPK) and/or phosphoinositide 3-kinase (PI3K)/protein kinase B (Akt). Through several proposed mechanisms, aberrant endogenous estrogen levels have been suggested to play a vital role in the development of both benign and malignant nodules. Metabolic syndrome triggers the development of thyroid nodules by stimulating thyroid proliferation and angiogenesis due to hyperinsulinemia, hyperglycemia and dyslipidemia. Insulin resistance influences the distribution and structure of the thyroid blood vessels. Insulin growth factor 1 (IGF-1) and insulin affect the regulation of the expression of thyroid genes and the proliferation and differentiation of thyroid cells. TSH can promote the differentiation of pre-adipocytes to mature adipocytes but also, in the presence of insulin, TSH possesses mitogenic properties. This review aims to summarize the underlying mechanisms explaining the role of obesity in the pathophysiology of thyroid nodules and discuss potential clinical implications.