Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

Triple-negative breast cancer (TNBC) remains a refractory subtype of breast cancer due to its resistance to various therapeutic strategies. In this study, we introduce a "brake-release and accelerator-pressing" approach to engineer a microneedle patch embedded with copper-doped Prussian blue nanoparticles (Cu-PB) and the ferroptosis inducer sorafenib (SRF) for raised chemodynamic (CDT)/photothermal (PTT) combination therapy against TNBC. Upon transdermal insertion, the dissolving microneedles swiftly disintegrate and facilitate the release of SRF. Under gentle external light exposure, copper ions (Cu²⁺) and iron ions (Fe³⁺) were liberated from Cu-PB. The direct chelation of Cu²⁺ and the indirect suppression by SRF, collectively attenuate glutathione peroxidase 4 (GPX4) enzymatic function, destabilizing the cellular redox equilibrium (referred to as the "brake-release" strategy). The release of Cu²⁺ and Fe³⁺ ions instigates a Fenton/Fenton-like reaction within tumor cells, further yielding hydroxyl radicals and elevating reactive oxygen species (ROS) concentrations (referred to as the "accelerator-pressing" strategy). This overwhelming ROS accumulation, coupled with the impaired clearance of resultant lipid peroxides (LPO), ultimately triggers a robust ferroptosis cell death response. In summary, this study presents an innovative combinatorial therapeutic strategy based on dual-ferroptosis induction for TNBC, implying a promising therapeutic platform for developing ferroptosis-centered treatments for this aggressive breast cancer subtype.

Objective To explore the relationships between social support,positive coping,caregiver burden and family resilience of primary caregivers of first-stroke patients.Methods A questionnaire survey was conducted among 307 primary caregivers of first-stroke patients in 2 tertiary hospitals in Shanghai by convenience sampling method.Social support rating scale,simplified coping style questionnaire,Zarit caregiver burden interview,and family resilience assessment scale were used for questionnaire survey.Pearson correlation analysis and structural equation models were used for data analysis.Results A total of 288 valid questionnaires were collected,and the effective recovery rate was 93.81％.Pearson correlation analysis showed that there was a positive correlation between family resilience and social support,family resilience and positive coping,and social support and positive coping(r=0.375,0.627,and 0.277;all P＜0.01),while caregiver burden and social support,caregiver burden and positive coping,and family resilience and caregiver burden were all negatively correlated(r=-0.203,-0.343,and-0.444;all P＜0.01).The mediating effect model was constructed with positive coping and caregiver burden as mediating variables,social support as independent variables,and family resilience as dependent variables.The results showed that social support could mediate family resilience through positive coping,with a mediating effect of 0.164,accounting for 26.1％of the total effect;social support could also affect the family resilience of the primary caregivers of first-stroke patients through the partial chain mediating effect of positive coping and caregiver burden,with a mediating effect value of 0.032,accounting for 5.1％of the total effect.Conclusion Social support can predict family resilience among primary caregivers of first-stroke patients,and positive coping and caregiver burden play chain mediating roles in the impact of social support on family resilience.

Objective To investigate the expression of serum tumor-associated antigens(TAAs)in patients with rheumatoid arthritis(RA)and analyze their clinical significance for RA.Methods A total of 214 RA patients were enrolled in the RA group,while 198 age-and gender-matched healthy individuals were included in the HC group.Rheumatoid factor(RF),anti-cyclic citrullinated peptide antibody(Anti-CCP),C-reactive protein(CRP),erythrocyte sedimentation rate(ESR),interleu-kin-6(IL-6),ferritin levels,as well as gender,age,disease duration,disease activity score(DAS28)and clinical manifestations were collected from the RA group.The expression of TAAs in RA patients and the clinical characteristics of TAA-positive patients were analyzed.Spearman correla-tion analysis was used to evaluate the relationships between TAAs and clinical indicators in RA pa-tients.Results The positive rate of carbohydrate antigen 125(CA125)in the RA group was 8.88％,which was significantly higher than 1.01％ in the HC group(P＜0.001).Serum CA125 and cytok-eratin fragment 19(CYFRA21-1)levels in the RA group were significantly higher than those in the HC group,whereas alpha-fetoprotein(AFP),carcinoembryonic antigen(CEA),carbohydrate anti-gen 199(CA199)and neuron-specific enolase(NSE)levels were significantly lower(P＜0.001).TAA-positive patients had significantly older age and higher rates of pulmonary interstitial lesions compared to TAA-negative patients(P＜0.05).Patients with DAS28 scores＞5.1 had significantly higher CA125 levels than those with DAS28 scores ≤5.1(P＜0.05).CA125 levelswere positively corre-lated with DAS28 scores,ESR,RF,and anti-CCP antibodies(r=0.142,0.140,0.268,0.183;P＜0.05).Conclusion In RA patients,the positivity rate and levels of some serum TAAs are ele-vated,and TAA-positive patients tend to be older and have higher incidence of pulmonary interstitial lesions.CA125 levels are positively correlated with RA disease activity.

Objective To evaluate the test-retest reliability of the ballistic push-up(BPU)test and establish predictive models for upper-limb strength and explosive power in young males.Methods A total of 71 male college students performed assessments of upper-limb bench press 1 repetition maximum(1RM)strength,bench press explosive power,and two BPU tests with a 48-hour interval.BPU test data were recorded using a three-dimensional(3D)force platform and motion capture system to calculate concentric metrics such as peak force(PF)and mean velocity(MV).The intraclass correlation coefficient(ICC)was used to examine the retest reliability of the BPU test.The Pearson correlation coefficient was used to evaluate the correlation of the BPU metrics with upper-limb strength and explosive power.Predictive models for upper-limb strength and explosive power were created using stepwise regression analysis.Results BPU metrics showed a good test-retest reliability(ICC=0.764-0.935).PF and MV,along with body weight(BW),were effective predictors of bench press 1RM in young males:bench press 1RM=0.129PF-16.772[R2=0.790,standard error of the estimate(SEE)=8.17 kg];bench press 1RM=1.511BW+87.15 MV-110.136(R2=0.767,SEE=8.60 kg).PF and BW were also predictors of bench press explosive power:bench press explosive power=2.755BW+0.287PF-17.351(R2=0.620,SEE=46.1 W).Conclusions The BPU test demonstrates a good test-retest reliability,and PF and MV from the BPU test can be used to predict upper-limb strength and explosive power in young males.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

Objective:To establish a prediction model for larger for gestational age(LGA)infants in pregnant women with gestational diabetes mellitus(GDM)in order to improve pregnancy outcomes.Methods:A retro-spective analysis was performed on the clinical data of 338 pregnant women with GDM who underwent routine prenatal examinations and were hospitalized for delivery in the First Affiliated Hospital of Nanjing Medical Universi-ty from January 1,2018 to December 31,2023.Pregnant women with complete HbAlc data during pregnancy were divided into a training set of 241 cases and a validation set of 97 cases.Lasso and Logistic regression analysis and variable screening combined with previous clinical experience were used to construct a nomogram model,and its degree of differentiation and calibration were evaluated.Result:①By Lasso regression analysis,age,family histo-ry of type 2 diabetes,body mass index(BMI),gestational weight gain(GWG),fasting blood glucose(FBG),postprandial 1-hour blood glucose(1h PBG),HbAlc,free triiodothyronine(FT3),free thyroxine(FT4)and insulin treatment were important predictors of LGA.②Multivariate Logistic regression analysis showed that GWG and HbAlc were independent risk factors for LGA in pregnant women with GDM(OR＞1,P＜0.05).③Combined with Lasso and Logistic regression analysis,previous literature reports and clinical experience,BMI,GWG,FBG,1h PBG,HbAlc and FT3 were selected as independent variables,and LGA as dependent variable.A nomogram pre-diction model was constructed in the training set,and the C-index of 0.71.ROC curve analysis showed that the AUC values of the training set and the validation set were 0.709 and 0.700,respectively,and the discriminative a-bility of the model was acceptable.The calibration curve of the model was close to the ideal curve,and the clinical decision curve suggested that the model showed a positive net benefit at the threshold of 10％to 50％.Conclu-sion:The predictive model has certain value in predicting the occurrence of LGA in pregnant women with GDM,and provides help for early diagnosis,treatment and clinical intervention of GDM and its complications,in order to improve perinatal and long-term adverse outcomes.

Objective:To establish a prediction model for larger for gestational age(LGA)infants in pregnant women with gestational diabetes mellitus(GDM)in order to improve pregnancy outcomes.Methods:A retro-spective analysis was performed on the clinical data of 338 pregnant women with GDM who underwent routine prenatal examinations and were hospitalized for delivery in the First Affiliated Hospital of Nanjing Medical Universi-ty from January 1,2018 to December 31,2023.Pregnant women with complete HbAlc data during pregnancy were divided into a training set of 241 cases and a validation set of 97 cases.Lasso and Logistic regression analysis and variable screening combined with previous clinical experience were used to construct a nomogram model,and its degree of differentiation and calibration were evaluated.Result:①By Lasso regression analysis,age,family histo-ry of type 2 diabetes,body mass index(BMI),gestational weight gain(GWG),fasting blood glucose(FBG),postprandial 1-hour blood glucose(1h PBG),HbAlc,free triiodothyronine(FT3),free thyroxine(FT4)and insulin treatment were important predictors of LGA.②Multivariate Logistic regression analysis showed that GWG and HbAlc were independent risk factors for LGA in pregnant women with GDM(OR＞1,P＜0.05).③Combined with Lasso and Logistic regression analysis,previous literature reports and clinical experience,BMI,GWG,FBG,1h PBG,HbAlc and FT3 were selected as independent variables,and LGA as dependent variable.A nomogram pre-diction model was constructed in the training set,and the C-index of 0.71.ROC curve analysis showed that the AUC values of the training set and the validation set were 0.709 and 0.700,respectively,and the discriminative a-bility of the model was acceptable.The calibration curve of the model was close to the ideal curve,and the clinical decision curve suggested that the model showed a positive net benefit at the threshold of 10％to 50％.Conclu-sion:The predictive model has certain value in predicting the occurrence of LGA in pregnant women with GDM,and provides help for early diagnosis,treatment and clinical intervention of GDM and its complications,in order to improve perinatal and long-term adverse outcomes.

Objective To evaluate the test-retest reliability of the ballistic push-up(BPU)test and establish predictive models for upper-limb strength and explosive power in young males.Methods A total of 71 male college students performed assessments of upper-limb bench press 1 repetition maximum(1RM)strength,bench press explosive power,and two BPU tests with a 48-hour interval.BPU test data were recorded using a three-dimensional(3D)force platform and motion capture system to calculate concentric metrics such as peak force(PF)and mean velocity(MV).The intraclass correlation coefficient(ICC)was used to examine the retest reliability of the BPU test.The Pearson correlation coefficient was used to evaluate the correlation of the BPU metrics with upper-limb strength and explosive power.Predictive models for upper-limb strength and explosive power were created using stepwise regression analysis.Results BPU metrics showed a good test-retest reliability(ICC=0.764-0.935).PF and MV,along with body weight(BW),were effective predictors of bench press 1RM in young males:bench press 1RM=0.129PF-16.772[R2=0.790,standard error of the estimate(SEE)=8.17 kg];bench press 1RM=1.511BW+87.15 MV-110.136(R2=0.767,SEE=8.60 kg).PF and BW were also predictors of bench press explosive power:bench press explosive power=2.755BW+0.287PF-17.351(R2=0.620,SEE=46.1 W).Conclusions The BPU test demonstrates a good test-retest reliability,and PF and MV from the BPU test can be used to predict upper-limb strength and explosive power in young males.