Prediction models constructed for Hashimoto's thyroiditis risk based on clinical and laboratory factors.

Background: Hashimoto's thyroiditis (HT) frequently occurs among autoimmune diseases and may simultaneously appear with thyroid cancer. However, it is difficult to diagnose HT at an early stage just by clinical symptoms. Thus, it is urgent to integrate multiple clinical and laboratory factors for the early diagnosis and risk prediction of HT. Methods: We recruited 1,303 participants, including 866 non-HT controls and 437 diagnosed HT patients. 44 HT patients also had thyroid cancer. Firstly, we compared the difference in thyroid goiter degrees between controls and patients. Secondly, we collected 15 factors and analyzed their significant differences between controls and HT patients, including age, body mass index, gender, history of diabetes, degrees of thyroid goiter, UIC, 25-(OH)D, FT3, FT4, TSH, TAG, TC, FPG, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol. Thirdly, logistic regression analysis demonstrated the risk factors for HT. For machine learning modeling of HT and thyroid cancer, we conducted the establishment and evaluation of six models in training and test sets. Results: The degrees of thyroid goiter were significantly different among controls, HT patients without cancer (HT-C), and HT patients with thyroid cancer (HT+C). Most factors had significant differences between controls and patients. Logistic regression analysis confirmed diabetes, UIC, FT3, and TSH as important risk factors for HT. The AUC scores of XGBoost, LR, SVM, and MLP models indicated appropriate predictive power for HT. The features were arranged by their importance, among which, 25-(OH)D, FT4, and TSH were the top three high-ranking factors. Conclusions: We firstly analyzed comprehensive factors of HT patients. The proposed machine learning modeling, combined with multiple factors, are efficient for thyroid diagnosis. These discoveries will extensively promote precise diagnosis, personalized therapies, and reduce unnecessary cost for thyroid diseases.

[Advances in molecular mechanisms of meiotic arrest and luteinizing hormone-induced meiotic resumption in oocytes].

Mammalian oocytes within Graafian follicles are arrested at prophase I of meiosis. C-type natriuretic peptide (NPPC), secreted by mural granulosa cells (MGCs), maintains oocyte meiotic arrest via binding to its cognate receptor natriuretic peptide receptor 2 (NPR2) and producing cyclic guanosine monophosphate (cGMP). NPR2 is most concentrated in the cumulus cells. In addition, cAMP, gap junction, inosine monophosphate dehydrogenase (IMPDH) and other important regulatory factors are also involved in meiotic arrest. Luteinizing hormone (LH) then rapidly decreases cGMP and induces oocyte meiotic resumption. In this paper, advances in the molecular mechanisms of meiotic arrest and LH-induced meiotic resumption were reviewed. This paper may provide new ideas for the prevention, diagnosis and treatment of related reproductive diseases.

[Analysis of risk factors of Budd-Chiari syndrome complicated with hepatocellular carcinoma].

OBJECTIVE: To investigate the risk factors of Budd-Chiari syndrome (B-CS) complicated with hepatocellular carcinoma (HCC). METHODS: The clinical data of 30 patients with B-CS complicated with HCC treated in the First Affiliated Hospital of Zhengzhou University from December 2012 to November 2014 were analyzed retrospectively, 106 another patients were selected randomly as control group in the same term. Gender, age, medical history, type of B-CS, hemoglobin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), albumin, Child-Pugh classification, portal vein diameter, HBV infection and drinking history were recorded and analyzed between the two groups. Univariate analysis and unconditional Logistic regression model were performed to screen corresponding risk factors. Area under curve (AUC) was calculated according to receiver operator characteristic (ROC) curve to evaluate the diagnostic value of each indicator. RESULTS: Univariate analysis showed that there were no statistical differences in gender (χ² =0.001), age (t=0.317), medical history (t=-0.906), type of B-CS (χ² =2.894), ALT (t=-1.581), Child-Pugh classification (Z=-0.777), HBV infection (χ² =0.016) and drinking history (χ² =0.285) between the two groups (all P > 0.05), but the hemoglobin (t=3.370) and albumin (t=2.152) in HCC group were lower and AST (t=-2.425) and portal vein diameter (t=-2.554) were higher than that in the other group, and the differences were statistically significant (all P <0.05). The results of unconditional Logistic regression model analysis indicated that hemoglobin, AST and portal vein diameter were independent risk factors of B-CS complicated with HCC (OR=0.972, 1.015, 1.206; P=0.004, 0.022, 0.012). ROC curve analysis indicated that the AUC of AST, hemoglobin and portal vein diameter was 0.704, 0.324 and 0.624, the predicate value was, in order, AST, portal vein diameter, hemoglobin. CONCLUSION: Hemoglobin, AST and portal vein diameter are independent risk factors of B-CS complicated with HCC.

Studies on Budd-chiari syndrome complicated with hepatocellular carcinoma: most patients without inferior vena cava obstruction.

BACKGROUND: To investigate the characteristics of Budd-Chiari syndrome (B-CS) types, rate of HCC complicated by different types of B-CS and values of CTA in diagnosis of B-CS and HCC complicated by B-CS. MATERIAL AND METHODS: 494 patients with B-CS were analyzed retrospectively. All patients underwent CTA, which was used to assess the accuracy of diagnosing B-CS and the rate of HCC complicated by various kinds of B-CS. Digital subtraction angiography (DSA) and pathological examination were used as gold standard. RESULTS: Among 494 patients diagnosed by DSA, there were 21 (4.3%) cases of inferior vena cava type, 80 (16.2%) cases of hepatic vein type and 393 (79.6%) cases of hepatic vein combined with inferior vena cava complex type. The accuracy of diagnosing B-CS by CTA was 86.6% (428/494), in which the accuracy of diagnosing inferior vena cava type was 85.7% (18/21), 83.8% (67/80) for hepatic vein type and 87.3% (343/393) for complex type. The rate of HCC complicated by B-CS was 12.8% (63/494), among which inferior vena cava type was 4.8% (1/21), hepatic vein type was 11.3% (9/80) and complex type was 13.5% (53/393). There were no statistic differences between these three types (P=0.459). The accuracy of diagnosing HCC by CTA was 82.5% (52/63). CONCLUSION: B-CS in patients from China's Yellow River basin is mainly hepatic vein combined with inferior vena cava complex type, which is more likely to be complicated by HCC. CTA plays an important role in diagnosing B-CS and HCC complicated by B-CS.