ObjectiveTo evaluate the pregnancy outcomes of assisted reproductive technology （ART） in women with a history of thyroid cancer who retained fertility intentions after completing cancer treatment. MethodsA retrospective analysis was performed on 61 patients with a history of thyroid cancer who underwent in vitro fertilization/intracytoplasmic sperm microinjection and embryo transfer （IVF/ICSI-ET）. These patients were included as the case group. A total of 122 non-cancer patients who received ART during the same period were selected as the control group using 1∶2 matching based on age and oocyte retrieval time. Baseline characteristics， outcomes of the first ART cycle， and cumulative pregnancy outcomes were compared between the two groups. ResultsThere was no significant difference in the basic data， the total amount of gonadotropin （Gn） and the days of use between the case group and the control group （P>0.05）. However， the case group had significantly fewer retrieved oocytes， mature oocytes （MII）， lower fertilization and cleavage rates， and fewer transferable and high-quality embryos， as well as fewer embryos transferred during the first cycle （P < 0.05）. However， there was no significant difference in the rate of first embryo implantation and first clinical pregnancy between the two groups （P>0.05）. In the analysis of cumulative outcomes， the two groups did not show statistically significant differences in the cumulative pregnancy rate， clinical pregnancy rate per transfer cycle， the number of oocyte retrieval cycles required per live birth， the number of embryo transfer cycles required per live birth， and the number of embryos used for each live birth （P>0.05）. However， the cumulative live birth rate was significantly lower in the case group compared to the control group （P=0.005）. ConclusionAfter treatment for thyroid cancer， when ART is used to help pregnant women， the pregnancy outcome is comparable to that of women without tumors. Individualized reproductive management and timely fertility preservation strategies are recommended to optimize reproductive outcomes in this population.

Objective To explore the change pattern of quantitative parameters in contrast-enhanced computed tomography (CECT) scans during the cortical and nephrographic phases in patients with clear cell renal cell carcinoma (ccRCC), evaluate the diagnostic efficiency of these quantitative parameters in predicting the pathological grade of ccRCC preoperatively, and provide imaging reference for clinically evaluating preoperative disease severity and formulating individualized therapeutic regimens. Methods A retrospective analysis was performed on the clinical data of 84 patients with ccRCC treated in our hospital between September 2022 and September 2024. According to the World Health Organization/International Society of Urological Pathology (WHO/ISUP) pathological grading system, patients were divided into a high-grade group (n = 32) and a low-grade group (n = 52). CECT features and quantitative parameters were compared between the two groups. The relationships between CECT quantitative parameters and pathological grading in ccRCC patients were analyzed using Spearman correlation. The diagnostic value of these parameters for preoperative pathological grading was evaluated using receiver operating characteristic curves. Results The maximum tumor diameter and the proportion of tumors with blurred margins were higher in the high-grade group than in the low-grade group (P<0.05). The CT values, net enhancement values, and enhancement rates during both the cortical and nephrographic phases were lower in the high-grade group than in the low-grade group (P<0.05). Spearman correlation analysis showed that the CT values, net enhancement values, and enhancement rates during both the cortical and nephrographic phases were negatively correlated with preoperative pathological grades in ccRCC patients (P<0.05). Receiver operating characteristic curve analysis revealed that the area under the curve for preoperative pathological grading using the combination of cortical phase CT value, cortical phase net enhancement value, cortical phase enhancement rate, nephrographic phase CT value, nephrographic phase net enhancement value, and nephrographic phase enhancement rate was 0.912, which was higher than the areas for any individual parameter used alone (0.770, 0.748, 0.763, 0.751, 0.739, and 0.718, respectively; P<0.05). The sensitivity, specificity, and 95% confidence interval for the parameters used in combination were 96.88%, 69.23%, and 0.853-0.970, respectively. Conclusion CECT quantitative parameters were negatively correlated with pathological grades in patients with single ccRCC and demonstrated high diagnostic efficiency for pathological grading, providing a reference for clinical treatment planning.

ObjectiveTo construct a risk prediction model for frequent acute exacerbations of chronic obstructive pulmonary disease （COPD） under disease-syndrome combination， thus providing decision support for precise clinical intervention. MethodsA total of 2 029 patients with acute exacerbations of COPD admitted to the First Affiliated Hospital of Anhui University of Chinese Medicine from January 2020 to August 2024 were retrospectively included. These patients were classified into groups of frequent acute exacerbations （≥2 times/year） and infrequent acute exacerbations （<2 times/year） according to the hospitalization times per year. Risk factors were screened by LASSO regression combined with logistic regression， and a nomogram model was constructed. The model performance was assessed based on the area under the curve （AUC）， calibration curves， and decision curve analysis （DCA）. ResultsThe differences in baseline characteristics between the frequent acute exacerbations group （1 196 cases） and infrequent acute exacerbations group （833 cases） were not statistically significant. LASSO regression combined with multivariate logistic regression screened the following independent risk factors： body mass index （BMI）， hospitalization days， number of smoking years， place of residence， use of noninvasive ventilators， oxygen-demanding therapy， liver cirrhosis， use of systemic glucocorticosteroids， and traditional Chinese medicine syndrome （phlegm and stasis obstructing the lung）. The nomogram model showed good discrimination and calibration in both the training set （AUC=0.748） and validation set （AUC=0.774）. ConclusionThe risk prediction model for frequent acute exacerbations of COPD， integrating traditional Chinese medicine syndrome， constructed in this study has high accuracy. It can provide a scientific basis for early clinical identification of high-risk patients and individualized intervention.

BACKGROUND:Sarcopenia is an age-related systemic skeletal muscle disease,which is associated with a variety of adverse outcomes such as falls,functional decline,frailty,and death.Postmenopausal women are one of the high-risk groups for sarcopenia.OBJECTIVE:To develop a predictive model for assessing the risk of sarcopenia in Chinese postmenopausal women based on high-quality database.METHODS:Data for this study were derived from 2 370 postmenopausal women from the China Health and Retirement Longitudinal Study(CHARLS),and sarcopenia was assessed using the Asian Working Group on Sarcopenia 2019(AWGS2019)recommended metrics.The study cohort was randomized into a training set(70％)and a validation set(30％).Risk factors for sarcopenia in postmenopausal women were screened using the least absolute shrinkage and selection operator,ten-fold cross-validation,and logistic regression.Nomogram predicting the risk of sarcopenia in postmenopausal women was constructed based on the risk factors,and the model efficacy was evaluated by the receiver operating characteristic curve and area under the curve(AUC),calibration curve,and decision curve analysis.RESULTS AND CONCLUSION:The prevalence of sarcopenia in this study was 23.50％and age,place of residence,sleep quality,cognitive function,depression,and the number of chronic diseases were selected as predictors of sarcopenia in postmenopausal women.The nomogram model showed good discrimination between the training and validation sets,with an AUC value of 0.751(95％confidence interval=0.724-0.778,P＜0.001),a specificity of 72.2％,and a sensitivity of 63.2％in the training set,and an AUC value of 0.763(95％confidence interval=0.721-0.805,P＜0.001),with a specificity of 69.6％and a sensitivity of 70.8％.The calibration curve showed a relatively significant agreement between the nomogram model and the actual observations,and the decision curve analysis demonstrated broad and good clinical utility.To conclude,the nomogram to assess the risk of sarcopenia constructed based on age,place of residence,sleep quality,cognitive function,depression,and number of chronic diseases,provides an effective tool for identifying and eliminating risk factors for sarcopenia in Chinese postmenopausal women,and helps to reduce the incidence of sarcopenia.

BACKGROUND:Sarcopenia is an age-related systemic skeletal muscle disease,which is associated with a variety of adverse outcomes such as falls,functional decline,frailty,and death.Postmenopausal women are one of the high-risk groups for sarcopenia.OBJECTIVE:To develop a predictive model for assessing the risk of sarcopenia in Chinese postmenopausal women based on high-quality database.METHODS:Data for this study were derived from 2 370 postmenopausal women from the China Health and Retirement Longitudinal Study(CHARLS),and sarcopenia was assessed using the Asian Working Group on Sarcopenia 2019(AWGS2019)recommended metrics.The study cohort was randomized into a training set(70％)and a validation set(30％).Risk factors for sarcopenia in postmenopausal women were screened using the least absolute shrinkage and selection operator,ten-fold cross-validation,and logistic regression.Nomogram predicting the risk of sarcopenia in postmenopausal women was constructed based on the risk factors,and the model efficacy was evaluated by the receiver operating characteristic curve and area under the curve(AUC),calibration curve,and decision curve analysis.RESULTS AND CONCLUSION:The prevalence of sarcopenia in this study was 23.50％and age,place of residence,sleep quality,cognitive function,depression,and the number of chronic diseases were selected as predictors of sarcopenia in postmenopausal women.The nomogram model showed good discrimination between the training and validation sets,with an AUC value of 0.751(95％confidence interval=0.724-0.778,P＜0.001),a specificity of 72.2％,and a sensitivity of 63.2％in the training set,and an AUC value of 0.763(95％confidence interval=0.721-0.805,P＜0.001),with a specificity of 69.6％and a sensitivity of 70.8％.The calibration curve showed a relatively significant agreement between the nomogram model and the actual observations,and the decision curve analysis demonstrated broad and good clinical utility.To conclude,the nomogram to assess the risk of sarcopenia constructed based on age,place of residence,sleep quality,cognitive function,depression,and number of chronic diseases,provides an effective tool for identifying and eliminating risk factors for sarcopenia in Chinese postmenopausal women,and helps to reduce the incidence of sarcopenia.

ObjectiveTo analyze the influencing factors of hepatic fibrosis in patients with Wilson's disease （WD） and to develop and validate a predictive model for hepatic fibrosis in WD that integrates traditional Chinese medicine （TCM） syndromes and modern biomarkers， thus providing a basis for early identification of high-risk populations and medical intervention. MethodsThe clinical data of 220 WD patients diagnosed in the Department of Encephalopathy， The First Affiliated Hospital of Anhui University of Chinese Medicine between January 2010 and December 2024 were retrospectively collected. Through a random number table， patients were assigned into a training set （154 patients） and a validation set （66 patients） in a 7∶3 ratio. Univariate COX regression， LASSO regression analysis， and multivariate COX regression analysis were performed to identify independent influencing factors for hepatic fibrosis in WD patients， and a clinical prediction model was established based on these factors. The discrimination， calibration， and clinical utility of the model were evaluated based on the area under the receiver operating characteristic curve （AUC）， calibration curves， and decision curve analysis （DCA）， respectively. ResultsA total of 220 patients were included. The syndrome of combined phlegm and stasis， triglycerides （TG）， laminin （LN）， and male gender were identified as independent risk factors for hepatic fibrosis in WD patients， while TCM intervention and high-density lipoprotein cholesterol （HDL-C） were protective factors. The C-index indicated excellent discriminative ability （training set： 3-year AUC=0.908， 5-year AUC=0.869， 7-year AUC=0.829； validation set： 3-year AUC= 0.898， 5-year AUC=0.780， 7-year AUC=0.743）. Calibration curves showed good consistency. DCA demonstrated the clinical net benefit probabilities across different risk thresholds at various time points. ConclusionThe predictive model established in this study has high accuracy and can be conveniently used for the early identification and risk prediction of hepatic fibrosis in patients with WD.

Lumbar spinal stenosis (LSS) is a common disabling condition in the elderly, and its clinical assessment relies not only on imaging and neurofunctional indicators but also on traditional Chinese medicine (TCM) syndrome differentiation. To evaluate the concordance between existing LSS animal models and clinical characteristics of TCM and Western medicine, clarify their advantages and limitations, and explore their translational potential, Chinese and English databases, including CNKI, Wanfang Data, PubMed, and Web of Science, are searched using combinations of the terms "lumbar spinal stenosis," "model," "guideline," "consensus," and "norm" from inception to the end of June 2025. After screening, a total of 21 publications are included, of which 15 report animal experimental studies, and 6 are guidelines, consensus statements, or normative documents. Based on these, the existing modeling methods are summarized, diagnostic indicators are extracted from clinical guidelines and expert consensus, and clinical concordance is evaluated using an assessment system proposed in the relevant literature. The results show that the existing animal models are categorized into three concordance levels: high (laminectomy/spinous process removal with filling; laminectomy/spinous process + ligament/muscle removal with filling; autologous bone backfilling), moderate (nylon tape dural binding method, adjustable screws, fixation combined with removal of ligament/muscle), and low (balloon compression method, adjustable balloon compression method, bipedal standing, ligament/muscle resection, steel wire cerclage method). Overall, current animal models of LSS generally perform well in terms of structural construction but show clear limitations in replicating clinical diagnostic logic and TCM syndromes. Future research should enhance syndrome phenotype collection and enrich TCM-based evaluation systems based on existing models. Additionally, multifactorial integrated modeling strategies should be introduced to extend the depth of syndrome-level simulation. This study aims to analyze LSS animal models that can faithfully recapitulate disease pathogenesis, conform to clinical realities of both Western medicine and TCM clinical practice, and have broad application potential, so as to narrow the translational gap between experimental findings and clinical practice.

Objective To investigate the registration rate and trend of pulmonary tuberculosis complicated with diabetes mellitus (PTB-DM) in Wuhan from 2020 to 2024, and to provide scientific evidence for formulating PTB-DM prevention and control policies. Methods PTB-DM case data in Wuhan (2020-2024) were collected through the Infectious Disease Registration and Management Information System. Joinpoint regression model was employed to analyze the trend of registration rates of PTB-DM among the general population and across different regions, genders, and age groups. ARIMA model was used to predict the short-term prevalence of PTB-DM. Results Among 26275 pulmonary tuberculosis cases registered in Wuhan (2020-2024), 2669 cases (10.16%) were PTB-DM. The average annual registration rate of PTB-DM was 3.96/100,000, increasing from 2.74/100,000 in 2020 to 5.40/100,000 in 2024 (APC=19.07%, 95% CI:12.99%-26.92%, P<0.001). The PTB-DM registration rates showed an upward trend across different regions, genders, and age groups in Wuhan, with higher registration rates observed in near urban area, males, and individuals aged 60~64 and 65 years and above (χ²=99.566, P<0.001; χ²=781.891, P<0.001; χ²=2211.930, P<0.001). ARIMA model predicted that the prevalence of PTB-DM in Wuhan would remain stable and fluctuating in the short time. Conclusion PTB-DM registration rate in Wuhan increases from 2020 to 2024. Near urban area, males, and elderly populations are high risk groups. Future efforts should focus on strengthening the prevention and control of PTB-DM among these populations.

Objective: To investigate the differences in three-dimensional maxillary and palatal parameters as well as midpalatal suture maturation stages between Skeletal Class I malocclusion patients with maxillary transverse deficiency (MTD) and normal maxillary transverse development, in order to provide clinical guidance for orthodontic diagnosis and treatment Methods: This study was approved by the institutional ethics committee and informed consent was obtained. Cone-bean CT data from 66 Skeletal Class I malocclusion patients [22 males, 44 females; age (14.39 ± 1.68) years] were analyzed. Based on Yonsei University width analysis, participants were divided into two groups: the maxillary transverse deficiency group [n = 33, age (14.34 ± 1.99) years] and the maxillary transverse normal group [n = 33, age (14.43 ± 1.33) years]. Parameters compared included midpalatal suture maturation stages (A-E), maxillary skeletal width on nasal floor (NF) and maxillary skeletal width on hard palate (HP), maxillary arch width on buccal alveolar crest (BAC) and maxillary arch width on lingual alveolar crest (LAC), palatal vault height, palatal bone thickness, palatal length, surface area, and volume Results: The proportion of patients with palatal suture maturity at stages D+E in the maxillary transverse deficiency group (33%, 11/33) was lower than that in the normal maxillary transverse development group (45%, 15/33), showing no statistically significant difference between the two groups. Compared to the maxillary transverse normal group, significant reductions were observed in the maxillary transverse deficiency group for maxillary widths [NF: (67.63 ± 3.74) mm vs. (71.49 ± 5.11) mm; HP: (64.60 ± 3.53) mm vs. (68.40 ± 4.64) mm], dental arch widths [BAC: (56.88 ± 2.25) mm vs. (59.81 ± 2.71) mm; LAC: (33.90 ± 1.89) mm vs. (36.91 ± 2.20) mm], and palatal surface area [(1 170.80 ± 126.48) mm2 vs. (1 264.76 ± 140.10) mm2]. No significant differences were noted in palatal height, bone thickness, length, or volume. Conclusion Skeletal Class I malocclusion patients with MTD have narrowed maxillary and dental arch widths, reduced palatal surface area, and delayed midpalatal suture maturation. Early maxillary expansion is recommended to harmonize jaw relationship.

Objective To explore the current status and influencing factors of heart failure occurrence in patients with unstable angina pectoris (UAP), and to provide a scientific basis for developing individualized prevention and treatment strategies. Methods A total of 310 patients with UAP admitted to the Fifth People's Hospital from October 2021 to October 2024 were selected as study subjects. The current status of the patients' heart failure was statistically analyzed, and the patients were divided into heart failure group and non-heart failure group according to whether they had heart failure. Univariate and logistic multivariate regression analyses were used to analyze the risk factors for the occurrence of heart failure in patients with UAP. Results Among the 310 patients with UAP, 63 cases had heart failure, with an incidence rate of 20.32%. After logistic multivariate analysis, it was found that diabetes mellitus, hyperlipidemia, number of coronary artery lesions, homocysteine and plasma brain natriuretic peptide levels were risk factors of heart failure in patients with UAP, and hemoglobin level was a protective factor (OR: 2.010, 95%CI: 1.063-3.800; OR: 4.495, 95%CI: 2.228-9.067; OR: 2.408, 95%CI: 1.256-4.617; OR: 3.655, 95%CI: 1.812-7.372; OR: 4.693, 95%CI: 2.622-8.399; OR: 0.359, 95%CI: 0.205-0.628, P<0.05). Conclusion The coronary heart disease risk of heart failure is high in patients with UAP, and is affected by comorbidities, number of coronary artery lesions, homocysteine, and plasma brain natriuretic peptide levels. It is necessary to perform clinical screening and pay attention to such patients, and take active prevention and control interventions.