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A beneficial levels of 25-hydroxyvitamin D for a decrease in thyrotropin receptor antibody (TRAB) in patients with Graves' disease: a real-world study. 有益水平的25-羟基维生素D对Graves病患者促甲状腺激素受体抗体(TRAB)的降低:一项真实世界的研究
IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-01-21 DOI: 10.1186/s12902-024-01823-x
Xide Chen, Yongze Zhang, Luxi Lin, Yuxia Chen, Ximei Shen, Lingning Huang, Fengying Zhao, Sunjie Yan

Objective: This study aimed to determine whether a relationship exist between pre-therapy 25-hydroxyvitamin D levels and the remission/negative conversion rates of thyrotropin receptor antibody (TRAB) during treatment in patients with newly diagnosed Graves' disease (GD).

Methods: 171 patients were included from the Endocrinology Department of the First Affiliated Hospital of Fujian Medical University in March 2013 to April 2016. Ninety-five patients of them were diagnosed at our hospital but transferred to local hospitals for treatment. Seventy-six patients were followed and treated at our hospital with a median follow-up time of 11.03 (range 6-27) months. Patients were divided into 3 groups according to baseline 25-hydroxyvitamin D levels; <20 ng/mL (31,43.05%), 20-29 ng /mL (20,27.78%), and ≥ 30 ng/mL (20,29.17%). The TRAB remission rate and negative conversion rate was assessed among each group.

Results: There was a higher TSH and lower TRAB titer in the 20-29 ng/mL group at initial diagnosis. Cox regression analysis suggested that 20-29 ng/mL group had significantly higher remission rates [RR; 95% CI: 7.505 (1.401-40.201), 8.975 (2.759-29.196),6.853(2.206-21.285), respectively] and negative conversion rates [RR; 95% CI: 7.835 (1.468-41.804),7.189(1.393-37.092), 8.122(1.621-40.688)] at the 6-, 12-, and 24-month follow-up, respectively . The level of 25-hydroxyvitamin D at the time of initial diagnosis was not associated with the re-normal of free Triiodothyronine(FT3), free thyroxineIndex(FT4) or TSH levels during the follow-up.

Conclusion: Newly diagnosed GD patients with appropriate baseline 25-hydroxyvitamin D levels (20-29 ng/mL) are beneficial for the reduction of TRAB during antithyroid therapy.

目的:本研究旨在探讨新诊断Graves病(GD)患者治疗前25-羟基维生素D水平与治疗期间促甲状腺激素受体抗体(TRAB)缓解/阴性转化率之间是否存在关系。方法:选取2013年3月至2016年4月福建医科大学第一附属医院内分泌科收治的171例患者。其中95例患者在我院确诊后转到当地医院治疗。76例患者在我院随访治疗,中位随访时间11.03个月(范围6-27个月)。根据25-羟基维生素D基线水平将患者分为3组;结果:初诊时20 ~ 29 ng/mL组TSH升高,TRAB滴度降低。Cox回归分析显示,20 ~ 29 ng/mL组缓解率显著高于对照组[RR;95% CI分别为7.505(1.401-40.201)、8.975(2.759-29.196)、6.853(2.206-21.285)和负转换率[RR;随访6个月、12个月和24个月时,95% CI分别为7.835(1.468-41.804)、7.189(1.393-37.092)、8.122(1.621-40.688)。最初诊断时25-羟基维生素D水平与随访期间游离三碘甲状腺原氨酸(FT3)、游离甲状腺素指数(FT4)或TSH水平的恢复正常无关。结论:新诊断的GD患者在抗甲状腺治疗期间,适当的25-羟基维生素D基线水平(20-29 ng/mL)有利于降低TRAB。
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引用次数: 0
Investigating papillary thyroid cancer risk factors among women living at the central region of Iran: a case-control study. 调查生活在伊朗中部地区的妇女乳头状甲状腺癌的危险因素:一项病例对照研究。
IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-01-16 DOI: 10.1186/s12902-025-01833-3
Hamed Ghoshouni, Saeed Hosseini, Akram Ghadiri-Anari, Reyhaneh Azizi, Masoud Rahmanian, Narjes Hazar

Background: The etiology of thyroid cancer especially in women in not well recognized in Yazd, at the center of Iran. The aim of present study was to investigate the risk factors of thyroid cancer among women living in this province.

Methods: The present study was carried out as a case-control study, comprising women diagnosed with papillary thyroid cancer (PTC) as the case group, along with two distinct control groups sourced from different origins (i.e., relatives and non-relatives) between 2020 and 2022. Data pertaining to several risk factors including demographic characteristics, reproductive variables, medical history related to thyroid and non-thyroid ailments, exposure to head and neck radiation, as well as familial cancer history, was collected from all participants. Binary logistic regression was utilized to discover risk and protective factors.

Results: In present study, 77 individuals participated in the case group, 76 in the relative control group and 72 in the non-relative control group. The history of OCP use and exposure to head and neck radiation were remained in the model as risk factors in all three case‒relative control (OR = 6.65, 95%CI: 2.53‒17.49; P-value < 0.001), case‒non-relative control (OR = 6.32, 95%CI: 2.14‒18.70; P-value = 0.001) and case‒total control comparisons (OR = 6.66, 95%CI: 2.84‒15.64; P-value < 0.001).

Conclusion: The OCP use as well as exposure to head and neck radiation were determined to be strong or relatively strong risk factors in both case‒relative control and case‒non-relative control comparisons. Consequently, it seems these two factors represent genuine risk factors for papillary thyroid cancer.

背景:在伊朗中部的亚兹德,甲状腺癌尤其是妇女甲状腺癌的病因尚未得到很好的认识。本研究旨在探讨本省妇女患甲状腺癌的危险因素。方法:本研究是一项病例对照研究,包括诊断为甲状腺乳头状癌(PTC)的女性作为病例组,以及来自2020年至2022年不同来源(即亲属和非亲属)的两个截然不同的对照组。从所有参与者那里收集了与几个风险因素有关的数据,包括人口特征、生殖变量、与甲状腺和非甲状腺疾病有关的病史、头颈部辐射暴露以及家族癌症史。采用二元logistic回归分析发现危险因素和保护因素。结果:本研究病例组77例,相对对照组76例,非相对对照组72例。在所有三个病例相对对照中,OCP使用史和头颈部辐射暴露史仍作为模型中的危险因素(OR = 6.65, 95%CI: 2.53-17.49;p值结论:在病例-相对对照和病例-非相对对照比较中,OCP使用和头颈部辐射暴露被确定为强或相对强的危险因素。因此,这两个因素似乎代表了甲状腺乳头状癌的真正危险因素。
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引用次数: 0
Effects of levothyroxine therapy on bone and mineral metabolism in hypothyroidism: a systematic review and meta-analysis. 左旋甲状腺素治疗对甲状腺功能减退患者骨和矿物质代谢的影响:一项系统综述和荟萃分析。
IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-01-14 DOI: 10.1186/s12902-024-01819-7
Xiaotao Li, Taotao Zhang, Hongling Zhang, Shanshan Liu, Limin Tian

Background: Thyroid hormone plays an important role in accumulating bone development and regulating bone metabolism. It is established that hypothyroidism is linked to increased risk of osteoporosis and fracture. However, the effects of levothyroxine (LT4) treatment on bone for hypothyroid patients remain controversial.

Methods: A systematical search was conducted of several databases, from inception until December 9, 2022, and updated the search using the same search strategy on October 30, 2024, for studies evaluating the effects of LT4 treatment on bone in hypothyroidism including subclinical hypothyroidism (SCH) and overt hypothyroidism (OH). The data were reported using a random-effects model with a standardized mean difference (SMD) and 95% conference interval (CI).

Results: Thirteen of the 5996 published articles were included in this meta-analysis. No significance was found in bone mineral density (BMD) at the lumbar spine between SCH patients treated with LT4 and control group either at baseline or after intervention. For OH, BMD at the lumbar spine was statistically lower in LT4 treatment group compared with healthy controls (HCs) (SMD: -0.28, 95%CI: -0.55, -0.02, P = 0.040, I2 = 52%). There were no differences in BMD at the femoral neck, trochanter, and Ward's triangle between OH patients treated with LT4 and HCs. In addition, BMD at the lumbar spine was significantly lower in males with OH undergoing LT4 treatment for a duration of less than five years compared to those treated over five years. Nevertheless, no significant differences were found in bone metabolism biomarkers between OH patients treated with LT4 and HCs.

Conclusion: This systematic review and meta-analysis demonstrated that there is a slight adverse effect of LT4 replacement therapy on bone and mineral metabolism in patients with OH, while no observed effect was found in SCH patients.

背景:甲状腺激素在骨积累发育和调节骨代谢中起重要作用。已经确定甲状腺功能减退与骨质疏松和骨折的风险增加有关。然而,左旋甲状腺素(LT4)治疗对甲状腺功能减退患者骨的影响仍存在争议。方法:对几个数据库进行了系统检索,从建立到2022年12月9日,并在2024年10月30日使用相同的检索策略更新了检索,以评估LT4治疗对甲状腺功能减退症(包括亚临床甲状腺功能减退症(SCH)和显性甲状腺功能减退症(OH))骨骼的影响。数据采用随机效应模型,采用标准化平均差(SMD)和95%会议间隔(CI)。结果:5996篇已发表的文章中有13篇被纳入meta分析。在基线或干预后,LT4治疗的SCH患者与对照组之间腰椎骨密度(BMD)均无显著差异。对于OH, LT4治疗组腰椎骨密度低于健康对照组(hc) (SMD: -0.28, 95%CI: -0.55, -0.02, P = 0.040, I2 = 52%)。在接受LT4和hcc治疗的OH患者中,股骨颈、粗隆和Ward三角区的骨密度没有差异。此外,与接受LT4治疗超过5年的患者相比,接受LT4治疗少于5年的男性OH患者腰椎骨密度显著降低。然而,在接受LT4和hcc治疗的OH患者中,骨代谢生物标志物没有发现显著差异。结论:本系统综述和荟萃分析表明,LT4替代疗法对OH患者的骨和矿物质代谢有轻微的不良影响,而对SCH患者无明显影响。
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引用次数: 0
Consequence of War on Diabetic Mellitus patients in Tigray region, Ethiopia: a longitudinal study. 战争对埃塞俄比亚提格雷地区糖尿病患者的影响:一项纵向研究
IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-01-13 DOI: 10.1186/s12902-025-01830-6
Mehari Gebre Teklezgi, Mengstu Berhe Tekle, Gebru Gebremeskel Gebrerufael, Tesfu Solomon Yeebyo

Background: Studies of the world health organization indicated that Diabetes is on the rise. The occurrence of diabetes is steadily increasing everywhere, most markedly in the world's middle and low-income countries. The aim of this study is to explore the consequence of war on the sugar level of diabetic mellitus patients.

Methods: A retrospective longitudinal study with a sample of 67 diabetic mellitus patients was used. As a result, longitudinal different models, which are generalized linear mixed effects and nonlinear mixed effect models were fitted on the continuous response variable, the Sugar Level of the diabetic patients.

Results: The results depicted that Blood Sugar Level of the patients increases over time. Moreover, as age, weight, medication, total cholesterol, high density lipoprotein (HDL), creatinine and linear time effect increase, Blood Sugar Level increases significantly, whereas triglyceride and low density lipoprotein increase, Blood Sugar Level of the adult Diabetes mellitus patients decreases.

Conclusion: The war has significant effect on the poor control of blood glucose level of the adult diabetic patients in Tigray region, Ethiopia. Due to the war, siege or blockages, in return there were rare of medicine, the patients were not taking their medicines on time, and they did not get enough insulin as well.

背景:世界卫生组织的研究表明,糖尿病呈上升趋势。糖尿病的发病率在世界各地稳步上升,在世界上的中低收入国家最为明显。本研究旨在探讨战争对糖尿病患者血糖水平的影响。方法:对67例糖尿病患者进行回顾性纵向研究。结果,对连续响应变量糖尿病患者血糖水平进行了纵向不同模型的拟合,即广义线性混合效应和非线性混合效应模型。结果:患者血糖水平随时间升高。随着年龄、体重、用药、总胆固醇、高密度脂蛋白(HDL)、肌酐和线性时间效应的增加,血糖水平显著升高,甘油三酯和低密度脂蛋白升高,成人糖尿病患者血糖水平下降。结论:战争对埃塞俄比亚提格雷地区成人糖尿病患者血糖控制不良有显著影响。由于战争,围困或封锁,作为回报,药物很少,病人没有按时服药,他们也没有得到足够的胰岛素。
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引用次数: 0
Predictive models and determinants of mortality among T2DM patients in a tertiary hospital in Ghana, how do machine learning techniques perform? 加纳某三级医院T2DM患者死亡率的预测模型和决定因素:机器学习技术的表现如何?
IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-01-10 DOI: 10.1186/s12902-025-01831-5
Godsway Edem Kpene, Sylvester Yao Lokpo, Sandra A Darfour-Oduro

Background: The increasing prevalence of type 2 diabetes mellitus (T2DM) in lower and middle - income countries call for preventive public health interventions. Studies from Africa including those from Ghana, consistently reveal high T2DM-related mortality rates. While previous research in the Ho municipality has primarily examined risk factors, comorbidity, and quality of life of T2DM patients, this study specifically investigated mortality predictors among these patients.

Method: The study was retrospective involving medical records of T2DM patients. Data extracted included mortality outcome (dead or alive), sociodemographic characteristics (age, sex, marital status, educational level, occupation and location), family history of diseases (diabetes, cardiovascular disease (CVD), or asthma), lifestyle (smoking and alcohol intake), comorbidities (such as skin infections, sickle cell disease, urinary tract infections, and pneumonia) and complications of diabetes (CVD, nephropathy, neuropathy, foot ulcers, and diabetic ketoacidosis) were analyzed using Stata version 16.0 and Python 3.6.1 programming language. Both descriptive and inferential statistics were done to describe and build predictive models respectively. The performance of machine learning (ML) techniques such as support vector machine (SVM), decision tree, k nearest neighbor (kNN), eXtreme Gradient Boosting (XGBoost) and logistic regression were evaluated using the best-fitting predictive model for T2DM mortality.

Results: Of the 328 participants, 183 (55.79%) were female, and the percentage of mortality was 11.28%. A 100% mortality was recorded among the T2DM patients with sepsis (p-value = 0.012). T2DM in-patients were 3.83 times as likely to die [AOR = 3.83; 95% CI: (1.53-9.61)] if they had nephropathy compared to T2DM in-patients without nephropathy (p-value = 0.004). The full model which included sociodemographic characteristics, family history, lifestyle variables and complications of T2DM had the best prediction of T2DM mortality outcome (ROC = 72.97%). The accuracy for (test and train datasets) were as follows: (90% and 90%), (100% and 100%), (90% and 90%), (90% and 88%) and (88% and 90%) respectively for the various ML classification techniques: logistic regression, Decision tree classifier, kNN classifier, SVM and XGBoost.

Conclusion: This study found that all in-patients with sepsis died. Nephropathy was the identified significant predictor of T2DM mortality. Decision tree classifier provided the best classifying potential.

背景:2型糖尿病(T2DM)在低收入和中等收入国家的患病率不断上升,要求采取预防性公共卫生干预措施。来自非洲的研究,包括来自加纳的研究,一致表明t2dm相关的死亡率很高。先前的研究主要是研究T2DM患者的危险因素、合并症和生活质量,而本研究专门调查了这些患者的死亡率预测因素。方法:回顾性分析2型糖尿病患者的医疗记录。提取的数据包括死亡率结局(死亡或存活)、社会人口统计学特征(年龄、性别、婚姻状况、教育水平、职业和地点)、疾病家族史(糖尿病、心血管疾病(CVD)或哮喘)、生活方式(吸烟和饮酒)、合并症(如皮肤感染、镰状细胞病、尿路感染和肺炎)和糖尿病并发症(CVD、肾病、神经病变、足部溃疡、采用Stata version 16.0和Python 3.6.1编程语言对糖尿病酮症酸中毒患者进行分析。描述统计和推理统计分别用于描述和建立预测模型。机器学习(ML)技术的性能,如支持向量机(SVM)、决策树、k近邻(kNN)、极限梯度提升(XGBoost)和逻辑回归,使用最佳拟合预测模型对T2DM死亡率进行评估。结果:328例患者中,女性183例(55.79%),死亡率11.28%。T2DM合并脓毒症患者的死亡率为100% (p值= 0.012)。T2DM住院患者的死亡率是前者的3.83倍[AOR = 3.83;95% CI:(1.53-9.61)]是否有肾病,与无肾病的T2DM住院患者相比(p值= 0.004)。纳入社会人口学特征、家族史、生活方式变量和T2DM并发症的完整模型对T2DM死亡结局的预测效果最好(ROC = 72.97%)。对于各种ML分类技术:逻辑回归、决策树分类器、kNN分类器、SVM和XGBoost,(测试和训练数据集)的准确率分别为:(90%和90%)、(100%和100%)、(90%和90%)、(90%和88%)和(88%和90%)。结论:本研究发现住院败血症患者全部死亡。肾病是T2DM死亡率的重要预测因素。决策树分类器提供了最好的分类潜力。
{"title":"Predictive models and determinants of mortality among T2DM patients in a tertiary hospital in Ghana, how do machine learning techniques perform?","authors":"Godsway Edem Kpene, Sylvester Yao Lokpo, Sandra A Darfour-Oduro","doi":"10.1186/s12902-025-01831-5","DOIUrl":"10.1186/s12902-025-01831-5","url":null,"abstract":"<p><strong>Background: </strong>The increasing prevalence of type 2 diabetes mellitus (T2DM) in lower and middle - income countries call for preventive public health interventions. Studies from Africa including those from Ghana, consistently reveal high T2DM-related mortality rates. While previous research in the Ho municipality has primarily examined risk factors, comorbidity, and quality of life of T2DM patients, this study specifically investigated mortality predictors among these patients.</p><p><strong>Method: </strong>The study was retrospective involving medical records of T2DM patients. Data extracted included mortality outcome (dead or alive), sociodemographic characteristics (age, sex, marital status, educational level, occupation and location), family history of diseases (diabetes, cardiovascular disease (CVD), or asthma), lifestyle (smoking and alcohol intake), comorbidities (such as skin infections, sickle cell disease, urinary tract infections, and pneumonia) and complications of diabetes (CVD, nephropathy, neuropathy, foot ulcers, and diabetic ketoacidosis) were analyzed using Stata version 16.0 and Python 3.6.1 programming language. Both descriptive and inferential statistics were done to describe and build predictive models respectively. The performance of machine learning (ML) techniques such as support vector machine (SVM), decision tree, k nearest neighbor (kNN), eXtreme Gradient Boosting (XGBoost) and logistic regression were evaluated using the best-fitting predictive model for T2DM mortality.</p><p><strong>Results: </strong>Of the 328 participants, 183 (55.79%) were female, and the percentage of mortality was 11.28%. A 100% mortality was recorded among the T2DM patients with sepsis (p-value = 0.012). T2DM in-patients were 3.83 times as likely to die [AOR = 3.83; 95% CI: (1.53-9.61)] if they had nephropathy compared to T2DM in-patients without nephropathy (p-value = 0.004). The full model which included sociodemographic characteristics, family history, lifestyle variables and complications of T2DM had the best prediction of T2DM mortality outcome (ROC = 72.97%). The accuracy for (test and train datasets) were as follows: (90% and 90%), (100% and 100%), (90% and 90%), (90% and 88%) and (88% and 90%) respectively for the various ML classification techniques: logistic regression, Decision tree classifier, kNN classifier, SVM and XGBoost.</p><p><strong>Conclusion: </strong>This study found that all in-patients with sepsis died. Nephropathy was the identified significant predictor of T2DM mortality. Decision tree classifier provided the best classifying potential.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"9"},"PeriodicalIF":2.8,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11720850/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142963890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dysregulated tryptophan metabolism contributes to metabolic syndrome in Chinese community-dwelling older adults. 色氨酸代谢失调与中国社区老年人代谢综合征有关。
IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-01-08 DOI: 10.1186/s12902-024-01826-8
Shujing Sun, Fangting Hu, Yanru Sang, Sheng Wang, Xuechun Liu, Jiafeng Shi, Hongjuan Cao, Fangbiao Tao, Kaiyong Liu

Background: As the prevalence of metabolic syndrome (MetS) rises among older adults, the associated risks of cardiovascular diseases and diabetes significantly increase, and it is closely linked to various metabolic processes in the body. Dysregulation of tryptophan (TRP) metabolism, particularly alterations in the kynurenine (KYN) and serotonin pathways, has been linked to the onset of chronic inflammation, oxidative stress, and insulin resistance, key contributors to the development of MetS. We aim to investigate the relationship between the TRP metabolites and the risk of MetS in older adults.

Methods: Ultra-performance liquid chromatography tandem mass spectrometry was used to detect TRP and its seven metabolites in a study involving 986 participants. Physical examination included the following indicators: blood pressure, body mass index, triglyceride levels, and high-density lipoprotein cholesterol (HDL-C) levels. Multiple linear regression, restricted cubic spline curve, binary logistic analysis, and sex-stratified analysis were used to explore the relationship between the metabolites and the risk of MetS in older adults.

Results: The results indicated that, after adjusting for covariates, higher levels of TRP, KYN, kynurenic acid (KA), and xanthurenic acid (XA) were risk factors for MetS (P for trend < 0.05). By contrast, higher ratios of 5-hydroxytryptamine to TRP and indole-3-propionic acid to TRP were protective factors against MetS (P for trend < 0.05).

Conclusions: TRP and its metabolites may serve as potential indicators for assessing and managing MetS in older adults, complementing existing biomarkers.

Clinical trial number: Not applicable.

背景:随着代谢综合征(MetS)在老年人中的患病率上升,心血管疾病和糖尿病的相关风险显著增加,并且与体内各种代谢过程密切相关。色氨酸(TRP)代谢失调,特别是犬尿氨酸(KYN)和血清素途径的改变,与慢性炎症、氧化应激和胰岛素抵抗的发生有关,这是MetS发展的关键因素。我们的目的是研究老年人中TRP代谢物与MetS风险之间的关系。方法:采用超高效液相色谱串联质谱法对986名受试者进行色氨酸及其7种代谢物的检测。体格检查包括以下指标:血压、体重指数、甘油三酯水平、高密度脂蛋白胆固醇(HDL-C)水平。采用多元线性回归、受限三次样条曲线、二元logistic分析和性别分层分析探讨老年人代谢产物与MetS风险的关系。结果:结果表明,在调整协变量后,较高水平的TRP、KYN、kynurenic acid (KA)和xanthurenic acid (XA)是MetS的危险因素(P为趋势)。结论:TRP及其代谢产物可能作为评估和管理老年人MetS的潜在指标,补充现有的生物标志物。临床试验号:不适用。
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引用次数: 0
Change in pericardial fat volume in postmenopausal women with papillary thyroid cancer undergoing thyrotropin suppressive therapy. 绝经后甲状腺乳头状癌患者接受促甲状腺激素抑制治疗后心包脂肪体积的变化。
IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-01-08 DOI: 10.1186/s12902-024-01800-4
Yunkyung Jeon, Doohwa Kim, Mijin Kim, Bo Hyun Kim, Kyoungjune Pak, Jihyun Kim, Keunyoung Kim

Background: Despite TSH suppressive therapy improve the prognosis for the patient with differentiated thyroid cancer (DTC), there is an increasing concern regarding the potentially harmful effects of lifelong TSH suppression. Therefore, we aimed to examine the changes in body composition under TSH suppression in postmenopausal women with DTC.

Methods: The body composition was assessed by the volumes as following; fat tissues of the epicardium and abdominal visceral and subcutaneous areas; bilateral psoas muscle or thigh muscle. Each volumetric measurements were performed using computed tomography (CT) scans using baseline and follow-up fluorine-18 fluorodeoxyglucose positron emission tomography/CT (18F-FDG PET/CT)s for 2-year follow up period in Pusan National University Hospital, South Korea.

Results: The 43 patients' median age was 50.0 years, and median body mass index (BMI) was 23.53 (interquartile range[IQR]: 22.19- 24.92) at the initial 18F-FDG PET/CT. The median follow-up period was 19.24 months (IQR: 17.24-21.79). No significant change in weight or BMI were observed during follow-up. Volumes of fat and muscles was not changed significantly except epicardial fat volume. The epicardial fat volume significantly increased during the follow-up period. The epicardial fat volumes were correlated with visceral fat volume, respectively, however, the changing ratio was only correlated with TSH suppression on multiple regression analysis.

Conclusion: Both skeletal muscle and abdominal fat volumes did not change, whereas epicardial fat volume increased over less than 2 years of observation under TSH suppressive therapy. Further research is needed for the harmonization of benefits or losses with the optimal TSH concentration in postmenopausal women.

背景:尽管TSH抑制治疗可以改善分化型甲状腺癌(DTC)患者的预后,但人们越来越关注终身TSH抑制的潜在有害影响。因此,我们的目的是研究绝经后DTC妇女在TSH抑制下身体成分的变化。方法:采用体积法测定体成分,方法如下:心外膜、腹部内脏和皮下的脂肪组织;双侧腰肌或大腿肌。在韩国釜山国立大学医院进行了为期2年的随访,每次体积测量都使用计算机断层扫描(CT)进行了基线和随访氟-18氟脱氧葡萄糖正电子发射断层扫描/CT (18F-FDG PET/CT)。结果:43例患者初始18F-FDG PET/CT时的中位年龄为50.0岁,中位体重指数(BMI)为23.53(四分位间距[IQR]: 22.19 ~ 24.92)。中位随访时间为19.24个月(IQR: 17.24-21.79)。随访期间未观察到体重或BMI有显著变化。除心外膜脂肪体积外,脂肪和肌肉体积无明显变化。随访期间心外膜脂肪量明显增加。心外膜脂肪体积与内脏脂肪体积分别相关,但多元回归分析其变化率仅与TSH抑制相关。结论:骨骼肌和腹部脂肪体积没有改变,而心外膜脂肪体积在TSH抑制治疗不到2年的观察中增加。需要进一步的研究来协调益处或损失与绝经后妇女的最佳TSH浓度。
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引用次数: 0
Prevalence of metabolic syndrome and its components in Iran: an updated meta-analysis. 伊朗代谢综合征患病率及其组成部分:一项最新的荟萃分析。
IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-01-08 DOI: 10.1186/s12902-024-01797-w
Asra Moradkhani, Pardis Mohammadzadeh, Srwa Assadi, Lotfolah Saed, Hamid Reza Baradaran, Yousef Moradi

Background: Considering, the changes in lifestyle during the last decade the main aim of this study was to investigate the pooled prevalence of metabolic syndrome (MetS) and its components in Iran.

Methods: For implementing a comprehensive search strategy related to the objectives of the present meta-analysis, all international databases like PubMed (Medline), Scopus, Embase, Web of Sciences (Elsevier), and CINHAL were searched up to January 2024. The quality of the final selected studies was evaluated according to the Joanna Briggs Institute Critical Appraisal (JBI) tool for analytical cross-sectional studies. The subgroup analysis was performed based on gender, province, area, criteria of diagnosis, and components of metabolic syndrome. All of the analyses were carried out in STATA version 17.

Results: Among 2,034 relevant primary studies, 194 articles were entered into the meta-analysis. the prevalence of MetS in Iran was assessed using various criteria. The overall pooled prevalence was (31%, 95% CI: 28-34%), with a higher occurrence in females and individuals aged over 65 years. The central region, particularly Qom, reported the highest prevalence, while Tehran had the lowest. Low HDL cholesterol and waist circumference were the most common MetS components. The study provides critical data for health policy and intervention strategies in Iran.

Conclusion: Higher rates in females and the elderly and the predominance of low HDL cholesterol and waist circumference as MetS components call for targeted public health interventions. These insights are pivotal for formulating strategic health policies to mitigate MetS and its impact on the Iranian population.

背景:考虑到过去十年生活方式的变化,本研究的主要目的是调查伊朗代谢综合征(MetS)及其组成部分的总患病率。方法:为了实施与本荟萃分析目标相关的综合检索策略,检索截至2024年1月的所有国际数据库,如PubMed (Medline)、Scopus、Embase、Web of Sciences (Elsevier)和CINHAL。根据乔安娜布里格斯研究所批判性评估(JBI)工具进行分析性横断面研究,对最终选择的研究的质量进行评估。根据性别、省份、地区、诊断标准和代谢综合征组成进行亚组分析。所有的分析都在STATA版本17中进行。结果:在2034项相关的初步研究中,有194篇文章被纳入meta分析。使用各种标准评估伊朗MetS的患病率。总体合并患病率为(31%,95% CI: 28-34%),女性和65岁以上人群发生率较高。中部地区,特别是库姆报告的患病率最高,而德黑兰的患病率最低。低高密度脂蛋白胆固醇和腰围是最常见的代谢产物。这项研究为伊朗的卫生政策和干预策略提供了关键数据。结论:女性和老年人的高发病率以及低高密度脂蛋白胆固醇和腰围作为MetS成分的优势要求有针对性的公共卫生干预。这些见解对于制定战略卫生政策以减轻MetS及其对伊朗人口的影响至关重要。
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引用次数: 0
Graves' disease diagnosed nearly six months after microwave ablation of benign thyroid nodules: a case report. 甲状腺良性结节微波消融后近6个月诊断为Graves病1例。
IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-01-06 DOI: 10.1186/s12902-024-01824-w
Yunru Gu, Rui Chen, Mingming Chen, Xiaohong Jiang, Long Wang, Xiaolin Huang

Background: Microwave ablation is a new, minimally invasive technique for the treatment of thyroid nodules. Hyperthyroidism due to destructive thyroiditis is a known risk of microwave ablation, though it occurs in only a minority of cases. We report a rare case of a patient diagnosed with Graves' disease nearly six months after undergoing microwave ablation of a thyroid nodule.

Case presentation: On July 31, 2022, a 43-year-old male patient presented to our hospital with symptoms of pyrexia, excessive sweating, and palpitations lasting for 15 days. History inquiry revealed that the patient had undergone microwave ablation of right-sided thyroid nodule nearly five months ago at another hospital. The patient's thyroid ultrasound suggested bilateral diffuse thyroid lesions, with a moderately echogenic mass observed on the right side of the thyroid gland, potentially indicative of thyroid nodule ablation. The patient had elevated serum thyroid hormone levels, decreased thyroid-stimulating hormone levels and positive associated thyroid antibodies. To control the symptoms of hyperthyroidism, the patient opted for oral antithyroid medication, and thyroid hormonal levels returned to normal after 3 months of treatment. The patient is now under regular follow-up.

Conclusions: In this case, we presented the onset of Graves' disease following microwave ablation in a patient with subclinical thyroid autoimmunity. While the causal relationship between microwave ablation and Graves' disease remains unproven, this case suggests that preexisting autoimmune thyroid conditions may increase susceptibility to postoperative thyroid dysfunction. Procedural factors, such as thermal injury to surrounding tissues and potential involvement of the autonomic nervous system, are also potential contributors to the development of Graves' disease following microwave ablation.

背景:微波消融是一种治疗甲状腺结节的新型微创技术。由破坏性甲状腺炎引起的甲状腺功能亢进是微波消融术的一个已知风险,尽管它只发生在少数病例中。我们报告一个罕见的病例,病人诊断为格雷夫斯病近六个月后,接受微波消融甲状腺结节。病例介绍:2022年7月31日,患者男,43岁,以发热、多汗、心悸等症状就诊,持续15天。病史调查显示患者于近5个月前在另一家医院行右侧甲状腺结节微波消融术。患者甲状腺超声提示双侧弥漫性甲状腺病变,甲状腺右侧可见中度回声肿块,可能提示甲状腺结节消融。患者血清甲状腺激素水平升高,促甲状腺激素水平降低,相关甲状腺抗体阳性。为控制甲状腺功能亢进症状,患者选择口服抗甲状腺药物,治疗3个月后甲状腺激素水平恢复正常。病人正在接受定期随访。结论:在本病例中,我们报道了一位亚临床甲状腺自身免疫患者在微波消融后出现Graves病的病例。虽然微波消融与Graves病之间的因果关系尚未得到证实,但本病例表明,先前存在的自身免疫性甲状腺疾病可能增加术后甲状腺功能障碍的易感性。程序性因素,如周围组织的热损伤和自主神经系统的潜在受累,也是微波消融后Graves病发展的潜在因素。
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引用次数: 0
Threshold-effect of ferritin levels with pathoglycemia in Chinese adults: a cross-sectional study based on China health and nutrition survey data. 铁蛋白水平与中国成人致病性血糖的阈值效应:基于中国健康与营养调查数据的横断面研究
IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-01-06 DOI: 10.1186/s12902-024-01822-y
Chenyu Yang, Jintao Li, Chao Li, Jinyu Yang, Yanpei Gao, Guohua Li, Xintian Liu, Xiaoqin Luo

Background: The present study aimed to explore the threshold-effect association of serum ferritin levels with type 2 diabetes mellitus (T2DM) and prediabetes mellitus in Chinese adults.

Methods: A total of 8365 people from CHNS a cross-sectional survey in 2009 were finally included. The biomarker data, including major cardiovascular biomarkers and important nutrition biomarkers were collected. The association of serum ferritin levels with T2DM and prediabetes mellitus were assessed by using restricted cubic spline function combined with multivariate logistic regression model.

Results: The mean age of the study subjects was 50.3 years, and 46.5% were men. The risk of T2DM and prediabetes mellitus increased when the ferritin level was greater than 140 ng/ml. The OR(OR = 0.59, 95% CI, 0.35-0.98)was lowest between 40 to < 60 ng/ml in men with prediabetes mellitus. The OR(OR = 0.61, 95% CI, 0.41-0.90)was lowest between 20 to < 40 ng/ml in women with prediabetes mellitus. Serum ferritin levels and OR value of women younger than 50 years old are lower than those of other participants.

Conclusions: There is a correlation between ferritin levels and pathoglycemia, with women under 50 years old having a lower risk for the same ferritin level, and maintaining low levels of ferritin can reduce the risk of developing diabetes mellitus.

背景:本研究旨在探讨中国成人血清铁蛋白水平与2型糖尿病(T2DM)和糖尿病前期的阈值效应相关性。方法:采用横断面调查方法,最终纳入2009年CHNS调查的8365人。收集生物标志物数据,包括主要的心血管生物标志物和重要的营养生物标志物。采用限制三次样条函数结合多因素logistic回归模型评价血清铁蛋白水平与T2DM及糖尿病前期的关系。结果:研究对象平均年龄为50.3岁,男性占46.5%。当铁蛋白水平大于140 ng/ml时,T2DM和前驱糖尿病的风险增加。OR(OR = 0.59, 95% CI, 0.35-0.98)在40 ~ 40岁之间最低。结论:铁蛋白水平与发病血糖之间存在相关性,50岁以下女性在相同铁蛋白水平下发病风险较低,维持低铁蛋白水平可降低糖尿病发病风险。
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BMC Endocrine Disorders
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