Objective:To analyze the risk factors for central lymph node metastasis (CLNM) in patients with papillary thyroid cancer (PTC) aged 55 years and above, and to construct a predictive model with columnar graph.Methods:This retrospective study included 406 PTC patients aged 55 and above, treated at the First Affiliated Hospital of Zhengzhou University from Nov. 2019 to Feb. 2022. Data on demographic characteristics, disease features, and laboratory test results were collected. Univariate and multivariate logistic regression analyses were used to identify risk factors for CLNM and develop a clinical prediction model and nomogram.Results:The study involved 406 patients, divided into a modeling group (285 patients) and a validation group (121 patients). The predictive model identified independent risk factors for CLNM. In the modeling group, the model demonstrated a ROC AUC of 0.769, with 82.6% sensitivity, 63.0% specificity, and 67.7% accuracy. The validation group showed 66.7% sensitivity, 74.5% specificity, and 72.7% accuracy, with an AUC of 0.760. Hosmer-Lemeshow tests indicated good fit in both groups. Decision curve analysis confirmed the model's clinical decision-making value, showing better performance than traditional strategies and good generalizability and reliability.Conclusions:Sex, maximum tumor diameter, bilateral involvement of thyroid lobes, clinically evident cervical lymph nodes, and local invasion are independent predictive factors for CLNM in patients over 55 with papillary thyroid carcinoma (PTC). A clinical risk stratification nomogram model based on these risk factors demonstrates good predictive performance.

Objective To analyze the clinical characteristics of C-TI-RADS 3 thyroid nodules with a diameter greater than 2 cm and explore their correlation with gender,nodule ingredient,contralateral cancer presence,diffuse echo changes,TPOAB and TGAB.Methods A retrospective analysis was made on the clinical and pathological information of 94 patients with thyroid nodules who were admitted to our department from September 2022 to March 2023.All the patients underwent cytological and/or histopathological examinations.The proportions of TBS I category,benign tumors,low-risk tumors,and malignant tumors were calculated.The proportion of TBS type Ⅰ,benign tumors,low-risk tumors,and malignant tumors was quantified.Subsequently,a comparative analysis was conducted among the benign,low-risk,and malignant groups in terms of clinical characteristics including gender distribution,nodule composition,contralateral cancer occurrence,diffuse echo changes presence,as well as TPOAB and TGAB levels.Results Seven cases in TBS I category were excluded.Among the remaining 87 cases with confirmed pathology results for nodules,there were 72 benign cases(38 cytology cases and 34 histology cases),5 low-risk thyroid tumors(2 cytology cases and 3 histology cases),10 malignant cases(8 PTC cases,1 FTC case,and 1 MTC case).There was a significant difference in nodule ingredient(cystic/solid)between different pathological types(x2=10.369,P=0.006).However,no statistical significance was found in terms of gender,diffuse echo changes,contralateral cancer presence,TPOAB or TGAB(P＞0.05).Further analysis showed that the proportion of solid component was higher in low-risk tumors than in benign nodules(x2=9.571,P=0.002).No statistical significance was found between malignant nodules and low-risk nodules(x2=2.143,P=0.143),or between malignant nodules and benign nodules(x2=2.165,P=0.141).Conclusion Although TI-RADS 3 nodules are generally considered as potentially benign according to various versions of thyroid imaging reporting and data system,malignant nodules still account for a certain proportion.Attention should be paid to thyroid nodules with a typical ultrasonic signs,such as cystic nodules,thyroid follicular tumors and medullary thyroid carcinoma.Ultrasound guided fine needle aspiration cytopathology is necessary for evaluating benign and malignant nodules.It is necessary to pay attention to unsatisfactory or undiagnosable specimens to improve the accuracy of diagnosis.

Objective:To investigate the risk factors of lower extremity deep venous thrombosis (LEDVT) in patients with sepsis during hospitalization in intensive care unit (ICU), and to construct a nomogram prediction model of LEDVT in sepsis patients in the ICU based on the critical care scores combined with inflammatory markers, and to validate its effectiveness in early prediction.Methods:726 sepsis patients admitted to the ICU of the Affiliated Hospital of Jining Medical University from January 2015 to December 2021 were retrospectively included as the training set to construct the prediction model. In addition, 213 sepsis patients admitted to the ICU of the Affiliated Hospital of Jining Medical University from January 2022 to June 2023 were retrospectively included as the validation set to verify the performance of the prediction model. Clinical data of patients were collected, such as demographic information, vital signs at the time of admission to the ICU, underlying diseases, past history, various types of scores within 24 hours of admission to the ICU, the first laboratory indexes of admission to the ICU, lower extremity venous ultrasound results, treatment, and prognostic indexes. Lasso regression analysis was used to screen the influencing factors for the occurrence of LEDVT in sepsis patients, and the results of Logistic regression analysis were synthesized to construct a nomogram model. The nomogram model was evaluated by receiver operator characteristic curve (ROC curve), calibration curve, clinical impact curve (CIC) and decision curve analysis (DCA).Results:The incidence of LEDVT after ICU admission was 21.5% (156/726) in the training set of sepsis patients and 21.6% (46/213) in the validation set of sepsis patients. The baseline data of patients in both training and validation sets were comparable. Lasso regression analysis showed that seven independent variables were screened from 67 parameters to be associated with the occurrence of LEDVT in patients with sepsis. Logistic regression analysis showed that the age [odds ratio ( OR) = 1.03, 95% confidence interval (95% CI) was 1.01 to 1.04, P < 0.001], body mass index (BMI: OR = 1.05, 95% CI was 1.01 to 1.09, P = 0.009), venous thromboembolism (VTE) score ( OR = 1.20, 95% CI was 1.11 to 1.29, P < 0.001), activated partial thromboplastin time (APTT: OR = 0.98, 95% CI was 0.97 to 0.99, P = 0.009), D-dimer ( OR = 1.03, 95% CI was 1.01 to 1.04, P < 0.001), skin or soft-tissue infection ( OR = 2.53, 95% CI was 1.29 to 4.98, P = 0.007), and femoral venous cannulation ( OR = 3.72, 95% CI was 2.50 to 5.54, P < 0.001) were the independent influences on the occurrence of LEDVT in patients with sepsis. The nomogram model was constructed by combining the above variables, and the ROC curve analysis showed that the area under the curve (AUC) of the nomogram model for predicting the occurrence of LEDVT in patients with sepsis was 0.793 (95% CI was 0.746 to 0.841), and the AUC in the validation set was 0.844 (95% CI was 0.786 to 0.901). The calibration curve showed that its predicted probability was in good agreement with the actual probabilities were in good agreement, and both CIC and DCA curves suggested a favorable net clinical benefit. Conclusion:The nomogram model based on the critical illness scores combined with inflammatory markers can be used for early prediction of LEDVT in ICU sepsis patients, which helps clinicians to identify the risk factors for LEDVT in sepsis patients earlier, so as to achieve early treatment.

Abstract In recent years, the trend of getting chronic diseases at younger age has cast a shadow on the health of children around the world. In order to improve this situation, the paper analyzes the Guidelines on Physical Activity, Sedentary Behavior and Sleep for Children under 5 Years of Age, and explores its theoretical basis, behavioral norms and policy implementation. The present paper suggests to introduce the guidelines on health promotion for children under the age of 5 as soon as possible from the aspects of index system, publicity model and evaluation system, so as to provide impetus for the construction of "Healthy China".

Objective:To improve the longevity genetic research study design by applying self-organizing maps to select a control group for longevity study.Methods:This study included the Han population aged 90 years and above or less than 80 years who have died (control group) from the natural population-based cohort formed by the fusion of the Chinese Chronic Diseases and Risk Factors Surveillance in 2013 and the China Death Surveillance System. The subjects who died of injury, infectious diseases, parasitic diseases, and malignant tumors were excluded. The self-organizing maps method, with multiple iterations and self-organizing clustering, was used to select similar factors among the population aged 90 years and above and the control group, including demographic characteristics, diseases, living habits, social behaviors, and mental and psychological factors. The study used PLINK 1.9 software to evaluate the quality of whole genome sequencing and to conduct logistic regression of single nucleotide polymorphisms (SNPs) and longevity on autosomes. Q-Q plots were used to visualize the P value associated with SNPs and longevity. Results:There were 1 019 samples selected from the baseline of 177 099 survey participants for genome sequencing, including 517 in the longevity group and 502 in the control group. The longevity and the control groups are generally similar in smoking, drinking, diet, sleep duration, blood lipid level, and self-assessment oral health status but differ significantly in socio-economic status, physical activity time, BMI, and self-assessment health status. The whole genome sequencing results were controlled, and 4 618 216 SNPs were involved in association analysis. The Q-Q plot of longevity-related SNPs analysis results showed that the enrichment of P value 1e-4 was significantly lower than the expected P value, and significant signals were also detected among P<1e-7 regions. Conclusions:The self-organizing maps can comprehensively consider the influence of socioeconomic and behavioral risk factors and select longevity control samples among samples with actual age and cause of death in a large-scale natural population cohort to improve the efficiency of longevity genome association analysis. This study provides a methodological reference for nested case-control study sample selection from the large-scale natural population cohort.

Objective: To investigate the clinical and pathological characteristics of cervical lymph node metastasis in papillary thyroid microcarcinoma (PTMC), and provide a basis for the individualized surgical procedure. Methods: Retrospectively analyzed the clinical data of 940 PTMC patients admitted to the Department of Thyroid Surgery, the First Affiliated Hospital of Zhengzhou University, from January 2016 to June 2018, including 206 males and 734 females, with a gender ratio of 1.0∶3.6. Age ranged from 18 to 78, with an average of (45.5±10.6) years. The correlation between gender, age, cancer size, multifocality, BRAF^V600E gene mutation, complicated with hashimoto′s thyroiditis, extrathyroidal extension and lymph node metastasis were analyzed. SPSS 21.0 software was used for statistical analysis. Chi-square test or rank sum test was adopted for comparison between groups, and logistic regression analysis was adopted for multivariate analysis. Results: There were 397 (42.2%) patients with central lymph node metastasis (CLNM) and 104 (11.1%) patients with lateral lymph node metastasis (LLNM). Univariate analysis showed that male, age < 55 years old (χ²=24.485, P<0.001), bilateral cancer foci (χ²=8.100, P=0.004), larger length-diameter (Z=-0.016, P<0.001), and BRAF^V600E gene mutation (χ²= 4.918, P=0.027) had a higher CLNM positive proportion, and LLNM positive proportion was higher in male (χ²=6.584, P=0.010), bilateral cancer foci (χ²=26.669, P<0.001), larger length-diameter (Z=-4.991, P<0.001), extra-glandular invasion (χ²=16.862, P<0.001) . Multivariate logistic regression analysis showed that gender (OR=2.091, P<0.001), age (OR=1.551, P=0.010), cancer lesion length (OR=5.285, P<0.001) and BRAF^V600E gene mutation (OR=1.648, P=0.038) were independent risk factors for CLNM in PTMC patients. Gender (OR=1.657, P=0.032), bilateral lesion (OR=2.610, P<0.001), tumor length diameter (OR=7.420, P<0.001) and extrathyroidal extension (OR=2.611, P=0.005) were independent risk factors for LLNM. The optimal critical values of tumor lesion length-diameter for risk assessment in CLNM and LLNM were 0.6 cm and 0.8 cm, respectively. Conclusions For PTMC patients with negative cervical lymph node had risk factors for lymph node metastasis, preventive dissection of central lymph nodes was recommended, and preventive dissection of lateral lymph nodes should also be comprehensively considered, by evaluating the extrathyroidal extension.

Objective To observe the level changes and clinical diagnostic value of follicular statin -1 (FSTL1)in the serum of patients with different types of acute coronary syndrome(ACS).Methods Collected the clinical diagnosis of acute coronary syndrome patients 98 cases,which contained ST segment elevation my-ocardial infarction(STEMI)in 34 cases,non ST elevation myocardial infarction(NSTEMI)in 28 cases,unsta-ble angina pectoris(UA)in 36 cases,while the examination resuLts of healthy people as a control group of 20 cases.The Venous blood was collected and the FSTL1 levels of the 4 groups were detected by ELISA.Results The levels of Serum FSTL1 in ACS group was significantly higher than that in normal control group(P<0.05).Serum FSTL1 of the ACS group were significant correlated with Gensini score,cTNT,hs-CRP(related coefficient:0.210,0.236,0.219 separately).The AUC of FSTL1 was 0.910(95% CI:0.832 -0.988),which was lower than cTNT.The best cut-off value of FSTL1 as a biomarker was 5.65 μg/L(specificity:84.2% and sensitivity:77.5%).Moreover the combination of FSTL1,HDL and cTNT exhibited significantly higher AUC=0.945(95% CI:0.909 -0.981)than did other biomarkers alone or pair combinations.Conclusion In pa-tients with acute coronary syndrome,serum FSTL1 levels has a positive correlation with the degree of coro-nary stenosis and inflammation reaction,and has certain value in the diagnosis of acute coronary syndrome.

Objective To evaluate the relationship between clinicopathological features and central lymph nodes metastasis in patients with papillary thyroid microcarcinoma (PTMC),and aim to provide an appropriate operation in clinic.Methods The clinical data of 536 patients undergoing surgical treatment in Department of Thyroid Surgery,the First Affiliated Hospital of Zhengzhou University from January 2015 to December 2017,who had pathologically confirmed popillary thyroid microcarcinoma (PTMC) were retrospectively analyzed.Thyroidectomy and isthmectomy with central compartment neck dissection were performed in all patients.The patients were divided into two groups according to whether there existed central lymph node metastasis,and compared the differences of gender,age,number of cancer lesions,tumor breakthrough envelope,BRAFV600E gene mutation,and tumor maximum diameter in the central lymph node metastasis,respectively,by t-test x2-test.Univariate logistic regression analysis and multivariate binary logistic regression analysis were conducted to find risky factors.Results There existed difference between two groups by completing the gender,age,the BRAFV600E gene mutation and maximal tumor diameter(P ＜ 0.05).Univariate logistic regression analysis indicated that gender (P =0.046),age (P ＜ 0.01),maximal tumor diameter(P ＜0.01) and the BRAFV600E gene mutation(P =0.016) were significant predictors for central lymph nodes metastasis.And multivariate binary logistic regression analysis revealed that the rate of lymph node metastasis significantly increased in cases of larger tumor diameter(P ＜0.01),BRAFV600E gene mutation(P =0.035) and ageing below 45 years old (P ＜ 0.01).Conclusions The treatment for central lymph node metastasis of PTMC should be different considering elements including BRAF600E gene mutation prophylactic,ageing below 45 years old and larger tumor diameter.Therefore central lymphadenectomy should be performed when the primary lesion was resected.

Objective To investigate the application of intraoperative neuromonitoring (IONM) during thyroidectomy for external branch of superior laryngeal nerve(EBSLN).Methods From Jan.2017 to Jun.2017,138 patients undergoing thyroidectomy were randomly divided into monitor group (n=69) and the control group (n=69).The monitor group were used IONM for EBSLN,while the control group were used conventional area protection.Results The overall incidence of EBSLN injury was 1.4％(1/69) in the monitor group,and the overall incidence of EBSLN injury was 11.6％(8/69) in the control group.There was statistical significance between the two groups.Conclusion The application of IONM in thyroidectomy can exactly identify EBSLN,and reduce the possibility of EBSLN injury remarkably.

Objective To investigate the correlation between serum proprotein convertase subtilisin/kexin 9 (PCSK9) level and the severity of angiographic coronary artery disease (CAD) in elderly patients with acute myocardial infarction (AMI) complicated with type 2 diabetes mellitus (T2DM). Methods The patients over the same period were divided into three groups:the elderly patients with AMI and T2DM (observation group, n=46), the elderly non diabetic patients with AMI (positive control group, n=34) and patients with chronic stable coronary heart disease (negative control group, n=33). The serum PCSK9 level was detected by enzyme-linked immunosorbent (ELISA) in three groups. The correlation between serum PCSK9 level and low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), triglycerides (TG), total cholesterol (TC), glycosylated hemoglobin (HbA1c), high sensitive C reactive protein (Hs-CRP) and Gensini score were analyzed. Results The levels of PCSK9, HbA1c, Hs-CRP and Gensini score showed a gradually increased tendency in negative control group, positive control group and observation group. Multiple comparison differences between groups were statistically significant (P<0.05). The serum PCSK9 level was positively correlated with Hs-CRP and Gensini score in observation group (P<0.05), and showed no correlation with HbA1c, TG, TC, LDL-C and HDL-C (P>0.05). Conclusion The serum level of PCSK9 is positive correlated with the severity of CAD, which can be used to determine the severity of coronary artery lesions in elderly patients with AMI complicated with T2DM.