ObjectiveTo construct a nomogram prediction model for non-valvular persistent atrial fibrillation （PeAF） patients with left ventricular hypertrophy （LVH） ， followed by prognostic analysis through follow-up. MethodsThis study retrospectively enrolled 949 patients with newly diagnosed and hospitalized non-valvular PeAF. Among them， 403 patients presented with LVH. The cohort was randomly stratified into a training set （n=665） and a validation set （n=284）. Univariate and multivariate Logistic regression analyses were employed to identify independent risk factors for PeAF complicated by LVH. A nomogram prediction model was subsequently constructed and evaluated for discriminative ability， calibration， and clinical utility using receiver operating characteristic （ROC） curve analysis， calibration plots， and decision curve analysis （DCA）. ResultsSeven independent risk factors were ultimately identified and included in the prediction model： female sex， hypertension， diabetes， red blood cell distribution width-SD （RDW-SD）， body mass index （BMI）， left atrial diameter （LAD）， and left ventricular ejection fraction （LVEF）. The area under the ROC curve （AUC） in the training set was 0.862 （95% CI： 0.834-0.890）， and in the validation set， it was 0.870 （95% CI： 0.829-0.911）， demonstrating excellent predictive performance. ConclusionIndependent risk factors for LVH in PeAF patients include female， hypertension， diabetes， RDW-SD， BMI， LAD， and LVEF. The prediction model built based on this can help early identification of PeAF patients with high risk of LVH. At the same time， the incidence of major adverse cardiovascular events （MACE） is higher in PeAF patients with LVH. Patients with atrial fibrillation combined with LVH may benefit from catheter ablation.

Objective:To summarize the relevant evidence of testicular cancer patients' fertility management which provides a basis for fertility guidance for young testicular cancer patients.Methods:The evidence,guidelines,expert consensus,evidence summary,systematic review and Meta-analysis on fertility-related clinical decision-making were searched from computer decision sup-port systems,relevant guideline websites,evidence-based databases,original research databases,and professional association websites at home and abroad.The search period was set dating from the establishment of the database to July 2024.Two researchers with evi-dence-based nursing research background independently completed the quality evaluation,evidence extraction and summary of the liter-ature.Results:A total of 21 articles were selected,including 4 clinical decisions,8 guidelines,4 expert consensuses,3 systematic reviews and 2 Meta-analyses.Thirty-three pieces of best evidence from six aspects were summarized,including fertility assessment,fertility counseling,fertility preservation timing,fertility preservation regimen,anti-tumor therapy and fertility,and contraceptive tim-ing.Conclusion:The best evidence summarized in this study provides a basis for clinical medical staff to carry out fertility manage-ment in testicular cancer patients.In clinical application,medical staff need to fully consider the patient's wishes in combination with the clinical situation,and promote the maximum benefit of the patient,so as to further improve the life quality of the patients.

Objective To investigate the molecular typing,virulence,and drug resistance characteristics of Staphylococcus aureus(SA)in bone and joint infections,providing basis for anti-infection treatment.Methods The SA strains isolated from inpatients with bone and joint infections in Beijing Jishuitan Hospital,Capital Medical University from January 2014 to December 2021 were collected.Multi-locus sequence typing(MLST)and Staphylococcal A protein(Spa)typing for all the strains and Staphylococcal cassette chromo-some mec(SCCmec)typing of methicillin-resistant Staphylococcus aureus(MRSA)were performed based on whole genome sequencing.The virulence genes and drug resistance genes of the strains were identified by online database.The antimicrobial susceptibility tests were carried by automatic microbiological assay system.Results MRSA accounted for 30.0％of the 100 isolated strains of SA.A total of 22 ST types and 39 Spa types were identified in the 100 strains of S.aureus,among which ST59(16.0％)and ST239(14.0％)were the dominant ST types,and t437(13.0％)and t030(10.0％)were the dominant Spa types.ST239-SCCmecⅢ-t030/t037 clone(46.7％)was the main epidemic clone in MRSA isolates.The biofilm gene(icaA,icaB,icaC,icaD,icaR),hemolysin gene(hlb,hld,hlgA,hlgB,hlgC),adhesion gene(clfA,clfB,fnbA,fnbB,ebp),and immune escape gene(adsA,sbi,scn)were widespread in all SA strains,with detection rates ranging from 89.0％to 100.0％.The detection rates of enterotoxin genes seb(43.3％),selk(93.8％)and selq(83.3％)in MRSA were significantly higher than those in methicillin-sensitive Staphylococcus aureus(MSSA)(all P＜0.05).In terms of drug-resistance characteristics,the detection rate of the resistance gene blaZ(87.0％)was the highest among all the S.aureus strains.In the isolated MRSA strains,the detection rate of resistance genes for erm(A),tet(M),aph(3')-Ⅲ,ant(6)-Ⅰa,ant(9)-Ⅰa,and aac(6')-aph(2")ranged from 43.3％to 50.0％,which were significantly higher than those in MSSA(all P＜0.05).The results of the drug-sensitivity test showed that the resistant rates of S.aureus strains to penicillin,erythromycin,and clindamycin were relatively high(89.0％,67.0％,and 51.0％,respectively).The resistant rates of MRSA to the antimicrobial agents commonly used in clinical practice were significantly higher than those of MSSA(all P＜0.05).Conclusion The molecular epidemiological char-acteristics of SA strains isolated from bone and joint infections were diversified in our hospital.ST239-SCCmecⅢ-t030/t037 was the most common epidemic clone among the strains.There were significant differences in the resistance genes and drug resistance rates be-tween MRSA and MSSA strains,for which clinical attention should be paid.

Objective To investigate the differences of language abilities between children with developmental delay(DD)and those with autism spectrum disorder(ASD)aged 3-6 years,and to provide references for clinical differential diagnosis and subsequent rehabilitation therapy.Methods In this study,61 cases of DD children and 61 cases of ASD chil-dren were selected.The language ability of children was assessed using the"Children's Language Ability Assessment Stand-ards and Methods",which evaluated grammar,comprehension,expression and communication abilities.Results Children with DD showed better comprehension and social skills but weaker grammar and expressive abilities.Children with ASD generally had lower levels in all language areas.There was no significant difference in the average language ability or expres-sive ability the two groups(P＞0.05),but the language comprehension ability and communication ability of the ASD group were significantly lower than those of the DD group(P＜0.05).The grammar ability of the ASD group was higher than that of the DD group(P＜0.05).Conclusion The levels of different language areas of children with DD and ASD children are significantly different.Language ability tests can assist in the differential diagnosis of DD and ASD children,and provide reference for language rehabilitation training.

Objective To investigate the differences of language abilities between children with developmental delay(DD)and those with autism spectrum disorder(ASD)aged 3-6 years,and to provide references for clinical differential diagnosis and subsequent rehabilitation therapy.Methods In this study,61 cases of DD children and 61 cases of ASD chil-dren were selected.The language ability of children was assessed using the"Children's Language Ability Assessment Stand-ards and Methods",which evaluated grammar,comprehension,expression and communication abilities.Results Children with DD showed better comprehension and social skills but weaker grammar and expressive abilities.Children with ASD generally had lower levels in all language areas.There was no significant difference in the average language ability or expres-sive ability the two groups(P＞0.05),but the language comprehension ability and communication ability of the ASD group were significantly lower than those of the DD group(P＜0.05).The grammar ability of the ASD group was higher than that of the DD group(P＜0.05).Conclusion The levels of different language areas of children with DD and ASD children are significantly different.Language ability tests can assist in the differential diagnosis of DD and ASD children,and provide reference for language rehabilitation training.

Thyroid cancer is the most prevalent malignant tumor of the endocrine system,and its incidence has shown a significant upward trend in recent years.Acetylation,an important post-translational protein modification,is involved in regulating gene transcription,cell cycle progression,and invasion ability in various types of thyroid cancers.Additionally,histone deacetylase(HDAC)inhibitors have shown potential in the treatment of thyroid cancer.This article systematically reviews the biological functions and regulatory mechanisms of acetylation in the development and progression of thyroid cancer based on recent literature.Furthermore,it discusses the clinical application prospects of HDAC inhibitors,providing a solid theoretical basis and feasible therapeutic strategies for targeted therapy of thyroid cancer.

Objective: Exploring the effect and mechanism of Xinyang Tablet on reduction of ferroptosis in myocardial cells from mice with chronic heart failure. Methods: Sixty C57BL/6J mice were randomly assigned to the sham, model, Xinyang Tablet low-dose (0.34 g/kg), Xinyang Tablet medium-dose (0.68 g/kg), Xinyang Tablet high-dose (1.36 g/kg), and perindopril (0.607 mg/kg) groups using a random number table method (10 mice in each group). Except for the sham group, all other groups underwent aortic arch constriction surgery to construct a chronic heart failure model. On the third day after completion of the modeling, each treatment group was administered the corresponding medication by gavage, while the sham and model groups were administered equal volumes of water by gavage once a day for eight consecutive weeks. After treatment, cardiac ultrasound was used to detect the structure and function of the mouse heart. Hematoxylin and eosin staining was used to detect pathological changes in mouse heart tissue. Masson staining was used to detect the proportion of fibrotic area of mouse heart tissue. Realtime fluorescence PCR was used to detect the mRNA expression of atrial natriuretic peptide (ANP), brain natriuretic peptide (BNP), collagen 3α (Col3α), and myosin heavy chain 7 (MYH7) in mouse myocardial tissue. Transmission electron microscope was used to detect the ultrastructure of myocardial cell mitochondria. Reactive oxygen species (ROS) staining was used to detect the mean fluorescence intensity of ROS in myocardial tissue. Micro-determination was used to detect superoxide dismutase (SOD) activity in myocardial tissue. An immunofluorescence assay was used to detect the mean fluorescence intensity of phosphorylated histone deacetylase 2 (p-HDAC2) in myocardial cell. Western blotting was used to detect the protein expression of nuclear factor-erythroid 2-related factor 2 (Nrf2), p-HDAC2, nicotinamide adenine dinucleotide phosphate oxidase 1 (NOX1), glutathione peroxidase 4 (GPX4), and cystine glutamate reverse transporter (xCT) in mouse myocardial tissue. Results: Compared to the sham group, the model group showed a decrease in left ventricular ejection fraction (LVEF), left ventricular fraction shortening (LVFS), an increase in left ventricular end-systolic diameter(LVESD) and left ventricular end-diastolic diameter (LVEDD), an increase in the proportion of cardiac fibrosis area, an increase in relative expression levels of ANP, BNP, Col3α, and MYH7 mRNA, an increase in ROS mean fluorescence intensity, a decrease in SOD activity, an increase in mean fluorescence intensity of p-HDAC2, an increase in relative expression levels of p-HDAC2 and NOX1 proteins, and a decrease in relative expression levels of Nrf2, GPX4, and xCT proteins (P<0.05). Myocardial fibrosis lesions are obvious, with disordered mitochondrial arrangement, decreased volume and shrinkage, increased membrane density, and reduced mitochondrial cristae. Compared to the model group, the LVEF and LVFS of mice in each dose group of Xinyang Tablet and the perindopril group increased, LVESD and LVEDD decreased, the proportion of fibrotic area of heart tissue decreased, the relative expression levels of ANP, BNP, Col3α, MYH7 mRNA decreased, ROS mean fluorescence intensity decreased, SOD activity increased, mean fluorescence intensity of p-HDAC2 decreased, relative expression levels of p-HDAC2 and NOX1 proteins decreased, and relative expression levels of Nrf2 and xCT proteins increased (P<0.05). Myocardial fibrosis was reduced, the mitochondrial arrangement was more regular, the mitochondria enlarged, the membrane density was reduced, and mitochondrial cristae increased. Compared to the model group, the relative expression level of the GPX4 protein in myocardial tissue increased in the Xinyang Tablet medium-, high-dose, and the perindopril groups (P<0.05). Conclusion Xinyang Tablet can improve ferroptosis and ventricular remodeling in mice with chronic heart failure by regulating the HDAC2-mediated Nrf2 antioxidant pathway.

BACKGROUND:Currently,artificial corneas used for full-thickness transplantation lack biological activity and mechanical adaptability.Composite artificial corneas face interface issues between the corneal button and surrounding components.OBJECTIVE:To prepare an integrated artificial cornea with peptide enhancement,matched mechanical strength to natural cornea,and excellent transparency via in situ ultraviolet light curing of decellularized porcine cornea.METHODS:Non-ionic decellularization reagent Triton X-100 combined with ultrasonic freeze-thawing and super nucleases was utilized to prepare decellularized porcine cornea.Hydroxyethyl methacrylate monomer and photoinitiator were introduced into the decellularized porcine cornea simultaneously.Ultraviolet light with a filter was used to cover the peripheral region except for the central area,where polymerization was initiated using 275 nm ultraviolet light.After removal of unreacted monomers and initiators,the central optical zone was obtained.Similarly,the posterior lamellar layer was polymerized to form the hydrophobic barrier zone.Finally,REG active polypeptide was introduced to obtain in situ integrated full-layer artificial cornea.The physical properties,mechanical properties,transparency,degradation properties and in vivo and in vitro biocompatibility of artificial cornea were characterized.RESULTS AND CONCLUSION:(1)An optical region with the co-existence of polymer and collagen fibers was constructed in situ using hydroxyethyl methacrylate in the central region of decellularized porcine cornea.Under scanning electron microscopy,the upper surface of the artificial cornea was rough and irregular,with obvious concave and convex structure,and the lower surface was relatively smooth.The artificial cornea had mechanical properties close to those of natural cornea.The transparency of the optical zone reached 80%of that of the natural cornea.After soaking in PBS aseptic solution containing collagenase,it could preserve the solidified optical region and hydrophobic barrier zone,and maintain the basic structure of cornea.The artificial cornea had good cytocompatibility,could provide a suitable adhesion and growth environment for cells,was conducive to the migration and adhesion of corneal epithelial cells,promoted the growth of vascular endothelial cells and the formation of new blood vessels,and promoted the epithelialization process.The artificial cornea had good biocompatibility and safety after 12 weeks of subcutaneous implantation in SD rats,and could reduce the acute inflammatory reaction at the initial stage of implantation.(2)The results show that the integrated full-layer artificial cornea prepared by the experiment has the potential as a full-layer artificial cornea scaffold.

Follicular variant of papillary thyroid carcinoma(FVPTC)is commonly found in young and middle-aged women,and cases in children and adolescents are relatively rare.The main driving genes of FVPTC are the RAS oncogene family or B-Raf proto-oncogene serine/threonine protein kinase(BRAF),and DICER1 gene mutation is rarely reported in this subtype.This article reports a case of recurrent FVPTC with positive DICER1 mutation in an adolescent,aiming to provide reference for the clinical diagnosis and treatment of FVPTC.The patient,a 19-year-old female,underwent total thyroidectomy and central lymph node dissection due to thyroid nodules 5 years ago,and was pathologically diagnosed with follicular tumor of uncertain malignant potential(FT-UMP);after surgery,the patients did not regularly undergo thyroid-stimulating hormone(TSH)suppression therapy and follow-up as instructed.Two months ago,the patient visited the hospital due to enlarged cervical lymph nodes,imaging suggested tumor recurrence with metastases to both lungs and vertebrae,and multigene testing indicated a DICER1 gene mutation.After comprehensive multidisciplinary consultation,bilateral cervical lymph node dissection was performed,and postoperative pathology confirmed the diagnosis of metastatic FVPTC.Te clinicans should focus on rare gene mutations such as DICER1 in the FVPTC patients,and for adolescent patients,follow-up and formulation of individualized treatment plans should be emphasized to achieve early tumor identification and precise intervention,and improve the long-term prognosis of patients.

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.