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*

Objective:To investigate the risk factors for kidney injury during anti-retroviral therapy (ART) with zidovudine (AZT) or tenofovir disoproxil fumarate (TDF) in human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) patients, and to construct and validate a prediction model for the risk of kidney injury in HIV/AIDS patients based on a nomogram.Methods:A total of 923 HIV/AIDS patients admitted to Liuzhou People′s Hospital between January 1st, 2004 and December 31st, 2020 were included in this study. The modeling set (647 cases) and the validation set (276 cases) were divided in a 7∶3 ratio. Risk factors were screened using the least absolute shrinkage and selection operator (LASSO) regression analysis, and a nomogram prediction model for renal impairment risk in HIV/AIDS patients was constructed based on the selected variables. The model′s predictive performance was assessed by calculating the area under the curve (AUC) using the receiver operating characteristics curve (ROC curve). The performance of this model was evaluated using calibration curves. The clinical utility of the model was assessed using decision curve analysis (DCA).Results:Among 923 HIV/AIDS patients, there were 91 cases with kidney injury, including 67 in the modeling set and 24 in the validation set. AZT was used in 29 cases, and TDF was used in 62 cases. LASSO regression analysis was employed to screen seven non-zero variables, including age, ART regimen, baseline estimated glomerular filtration rate (eGFR), baseline CD4 + T lymphocyte count, baseline human immunodeficiency virus (HIV) RNA, baseline hemoglobin, and baseline aspartate aminotransferase (AST), their LASSO regression coefficient were 1.296, 0.250, 1.443, 0.240, 0.120, 0.395, and 0.002, respectively. Based on these variables, a visual nomogram model was constructed and subsequently validated. Through ROC curve analysis, the AUC for the modeling set was 0.826 (95% confidence interval ( CI) 0.767 to 0.884), with a sensitivity of 0.731 and a specificity of 0.809. For the validation set, the AUC was 0.872 (95% CI 0.807 to 0.956), with a sensitivity of 0.875 and a specificity of 0.778. The calibration curve results for the modeling set showed a mean absolute error (MAE) of 0.012 and a consistency index of 0.826, while the validation set had an MAE of 0.021 and a consistency index of 0.872. These results indicated that the model had a high goodness-of-fit, excellent calibration performance, and was reliable and stable. When the risk threshold for the modeling set ranged from 2% to 73%, the model demonstrated favorable net benefits, indicating its excellent clinical utility. Conclusion:The nomogram-based risk prediction model for kidney injury in HIV/AIDS patients is constructed using seven variables including age, ART regimen, baseline eGFR, baseline CD4 + T lymphocyte count, baseline HIV RNA, baseline hemoglobin, and baseline AST, which provides a valuable tool for early identification of individuals at risk of kidney injury and supports timely clinical interventions.

Objective:To investigate the clinical characteristics and risk factors of airway mucus plugging in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).Methods:This was a retrospective cross-sectional study. A total of 322 hospitalized AECOPD patients admitted to the First Affiliated Hospital of Anhui Medical University from February 2023 to February 2025 were enrolled. Based on chest high-resolution computed tomography (HRCT) findings of airway mucus plugging, patients were classified into mucus plugging and non-mucus plugging groups. General and clinical data were collected, including age, sex, disease duration, smoking and alcohol history, comorbidities, number of acute exacerbations in the past year, routine blood tests, biochemical indices, pulmonary function, and pathogen detection. The incidence of airway mucus plugging in AECOPD patients was calculated, and differences in baseline characteristics, laboratory parameters, and pulmonary function between the two groups were compared. Logistic regression was used to identify independent risk factors for mucus plugging, and receiver operating characteristic (ROC) curves were plotted to evaluate the predictive value of relevant indicators.Results:Of the 322 enrolled patients, 87(27.02%) were found to have airway mucus plugging. Univariate analysis revealed statistically significant differences between the mucus plug group and the non-plug group in the following parameters (all P<0.05): body mass index (BMI), disease duration, smoking status, Global Initiative for Chronic Obstructive Lung Disease (GOLD) classification, modified British Medical Research Council (mMRC) dyspnea scale, COPD Assessment Test (CAT) score, frequency of acute exacerbations, neutrophil percentage, absolute lymphocyte count, lymphocyte percentage, albumin, C-reactive protein (CRP), activated partial thromboplastin time, fibrinogen, fibrin(ogen) degradation products, D-dimer, Aspergillus infection rate, percentage of forced expiratory volume in 1 second to predicted value (FEV 1%pred), ratio of FEV 1 to forced vital capacity (FEV 1/FVC), and percentage of maximal mid-expiratory flow to predicted value (MMEF 75/25%pred). Multivariate logistic regression analysis identified the following as independent risk factors for airway mucus plugs (all P<0.05): elevated CRP ( OR=1.022, 95% CI: 1.013-1.036), decreased albumin ( OR=0.891, 95% CI: 0.825-0.959), Aspergillus infection ( OR=1.774, 95% CI: 1.366-2.317), and reduced MMEF 75/25%pred value ( OR=0.978, 95% CI: 0.964-0.990). ROC curve analysis showed that the combined predictive model incorporating CRP, albumin, Aspergillus infection, and MMEF 75/25%pred had an area under the ROC curve (AUC) of 0.776(95% CI: 0.714-0.838), which was superior to each individual indicator alone, with AUCs of 0.721 for CRP, 0.687 for albumin, 0.579 for Aspergillus infection, and 0.631 for MMEF 75/25%pred. Conclusions:AECOPD patients with airway mucus plugging exhibit higher inflammatory markers, poorer nutritional status, a higher likelihood of Aspergillus infection, worse pulmonary function, and poorer prognosis. Aspergillus infection, elevated CRP, decreased albumin, and reduced MMEF 75/25%pred are independent risk factors for mucus plugs in AECOPD.

Objective To construct and verify a risk prediction model of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer,and to screen the optimal model by using machine learning algorithm,so as to provide references for clinical formulation of a nursing risk management plan.Methods The convenience sampling method was used to retrospectively select 476 patients who underwent thoracoscopic radical resection of lung cancer in a tertiary hospital in Hangzhou,Zhejiang Province from January to December 2023 as a construction group.Logistic regression,decision tree,random forest and naive Bayesian model were constructed by SPSS 29.0 and R 4.3.0 software.The prediction performance of each model was compared by accuracy,precision,recall,F1 score and area under the receiver operating characteristic curve,and the optimal model was screened.From January to June 2024,204 patients in the unit were prospectively selected as the research subjects of an external validation group.The discrimination and calibration of the optimal model were evaluated by AUC value and calibration curve.Results A total of 680 patients completed the survey.All 4 models showed that multimodal analgesia,thoracic drainage tube type,pain score,tracheal intubation type,state anxiety and catheter indwelling time were the influencing factors of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer(P＜0.05).The 4 risk prediction models showed that the random forest prediction model had the best comprehensive performance.The external verification results showed that the AUC value was 0.913,and the calibration curve fitted well with the 45° ideal line.Conclusion Among the 4 risk prediction models,the random forest prediction model has the best performance,which is more suitable for the assessment of the risk of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer,and has good generalization and clinical application value.

Objective:To identify the incidence and prevalence of inflammatory bowel disease (IBD) in the northern Chinese population of Jinan, Shangdong Province, along with its temporal trends from 2005 to 2022.Methods:By utilizing the data from the Jinan basic medical insurance system, a population-based IBD cohort was constructed. This facilitated the computation of both the incidence and prevalence rates of IBD, alongside their temporal trends throughout the 2005 to 2022 timeframe. The 95% confidence intervals were estimated using poisson regression.Results:The overall incidence rate of IBD showed a yearly increasing trend, with age-standardized incidence rates rising from 0.03/100 000 in 2005 to 5.39/100 000 in 2022. The age-standardized incidence rate of ulcerative colitis (UC) increased from 0.03/100 000 in 2005 to 4.97/100 000 in 2022. The age-standardized incidence rate of Crohn's disease (CD) rose from 0.05/100 000 in 2011 to 0.44/100 000 in 2022. The crude prevalence of IBD increased from 0.60/100 000 in 2005 to 32.39/100 000 in 2022. Specifically, the crude prevalence of UC increased from 0.60/100 000 in 2005 to 31.44/100 000 in 2022, while the crude prevalence of CD increased from 0.05/100 000 in 2011 to 1.19/100 000 in 2022.Conclusions:Analysis of recent medical insurance data reveals a continuous uptrend in both the incidence and prevalence of IBD in Jinan, a northern city in China. This underscores the urgent need for enhanced medical resources and healthcare guaruntee to ensure the well-being of individuals afflicted with IBD.

Objective:To explore the efficacy and its related factors of rituximab (RTX) in the treatment of children with frequently relapsing nephrotic syndrome/steroid-dependent nephrotic syndrome (FRNS/SDNS).Methods:It was a single-center retrospective study. The clinical data of FRNS/SDNS children first treated with RTX in the First Affiliated Hospital of Sun Yat-sen University from November 1, 2016 to September 1, 2023 were collected. The number of relapse within 1 year before and after RTX treatment, the time to first relapse after RTX treatment, and the time to B-cell reconstitution were analyzed. At the first treatment, a single dose of RTX was given at 375 mg/m 2, with a maximum dose of 500 mg, once a week, for 1 to 4 doses. The count of CD19 + lymphocytes in the peripheral blood of the children was continuously monitored. If B-cell reconstruction was performed, the decision on whether to proceed to the next course of RTX treatment was made based on clinical manifestations. Kaplan-Meier method was used to analyze relapse-free survival rate after receiving RTX. Cox proportional hazards regression model was used to analyze the related factors of relapse after RTX treatment. Results:A total of 98 FRNS/SDNS children receiving RTX treatment were enrolled, including 75 males (76.5%). The age at onset was 4.0 (1.9, 7.1) years and age of receiving RTX was 11.3 (8.5, 13.5) years. There were 90 children (91.8%) achieving complete remission, while 8 patients (8.2%) did not respond to RTX treatment, and 3 patients (3.1%) progressed to end-stage kidney disease after receiving RTX. The relapse-free survival rates at 6 months and 1 year after RTX treatment were 83.3% (75/90) and 57.9% (22/38), respectively. The frequency of relapse 1 year after RTX treatment decreased compared to 1 year before RTX treatment ( Z=-7.398, P<0.001). Compared with children without relapse during the period of B-cell depletion, relapsed children had a higher number of relapse within one year after RTX treatment ( Z=5.246, P<0.001). The time to first relapse after RTX treatment was 8.3 (4.6, 13.9) months in 51 relapse patients. Compared with children receiving 1 dose of RTX in the first course, those receiving 2 or more doses had a longer time to the first relapse ( Z=2.983, P=0.003). There was no statistically significant difference in time to the first relapse between children who received mycophenolate mofetil therapy after RTX treatment and those who didn't ( P>0.05). The reconstruction time of B cells after the first course of RTX was 6.9 (5.3, 9.0) months. Compared to children receiving one dose of RTX in the first course, those receiving two or more doses had a longer B-cell reconstitution time ( Z=2.739, P=0.006). There was no statistically significant difference in B-cell reconstitution time between children who received mycophenolate mofetil therapy after RTX treatment and those who didn't ( P>0.05). Univariate Cox regression analysis showed that recurrence after calcineurin inhibitor (CNI) treatment before RTX treatment and the number of recurrence in one year before RTX treatment were correlated factors of recurrence after RTX treatment (both P<0.05). Multivariate Cox regression analysis showed that recurrence after CNI treatment before RTX treatment was an independent correlated factor of relapse after RTX therapy ( HR=3.496, 95% CI 1.245-9.818, P=0.018). Infusion reactions occurred in 10 patients (10.2%) and infections were observed in 24 patients (24.5%) during B cell depletion. No serious adverse events occurred. Conclusions:RTX is well tolerated and effective in treating FRNS/SDNS. Recurrence after CNI treatment before RTX treatment may be an independent related factor of relapse after RTX treatment.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

Paraplegia caused by spinal cord injury is a serious neurological complication, for which surgery is currently the main treatment method. Due to different surgical approaches, patients are usually expected to maintain a passive prone position for a long time or switch between the supine and prone positions. Affected by multiple factors such as neurogenic sensory disorders, pathological changes in muscle tone and operative duration, the risk of intraoperative acquired pressure injury (IAPI) is significantly increased. Current clinical prevention strategies for IAPI in these patients predominantly focus on localized pressure relief during positioning, lacking systematic, standardized comprehensive prevention protocols or evidence-based guidelines. To address it, Department of Nursing, Orthopedics Branch, China International Exchange and Promotive Association for Medical and Health Care, Spinal Trauma Professional Committee, Orthopedics Branch, Chinese Medical Doctor Association, Nursing Group of Spine and Spinal Cord Professional Committee of Chinese Association of Rehabilitation Medicine organized experts in relevant fields to formulate Guideline for the prevention of intraoperative acquired pressure injury in paraplegic patients with spinal cord injury ( version 2025), based on evidence-based medical evidence and latest research results and clinical practice at home and abroad. Eleven recommendations were put forward from the aspects of preoperative risk assessment, intraoperative prevention strategies, postoperative handover and monitoring, and supportive mechanisms for IAPI prevention, aiming to standardize the prevention measures and management strategies of IAPI in paraplegic patients with spinal cord injury and accelerate the recovery of patients and improve the therapeutic effect.

Approximately 30%-40% of epilepsy patients do not respond well to adequate anti-seizure medications (ASMs), a condition known as pharmacoresistant epilepsy. The management of pharmacoresistant epilepsy remains an intractable issue in the clinic. Its early prediction is important for prevention and diagnosis. However, it still lacks effective predictors and approaches. Here, a classical model of pharmacoresistant temporal lobe epilepsy (TLE) was established to screen pharmacoresistant and pharmaco-responsive individuals by applying phenytoin to amygdaloid-kindled rats. Ictal electroencephalograms (EEGs) recorded before phenytoin treatment were analyzed. Based on ictal EEGs from pharmacoresistant and pharmaco-responsive rats, a convolutional neural network predictive model was constructed to predict pharmacoresistance, and achieved 78% prediction accuracy. We further found the ictal EEGs from pharmacoresistant rats have a lower gamma-band power, which was verified in seizure EEGs from pharmacoresistant TLE patients. Prospectively, therapies targeting the subiculum in those predicted as "pharmacoresistant" individual rats significantly reduced the subsequent occurrence of pharmacoresistance. These results demonstrate a new methodology to predict whether TLE individuals become resistant to ASMs in a classic pharmacoresistant TLE model. This may be of translational importance for the precise management of pharmacoresistant TLE.
Epilepsy, Temporal Lobe/diagnosis* ; Animals ; Drug Resistant Epilepsy/drug therapy* ; Electroencephalography/methods* ; Rats ; Anticonvulsants/pharmacology* ; Neural Networks, Computer ; Male ; Humans ; Phenytoin/pharmacology* ; Adult ; Disease Models, Animal ; Female ; Rats, Sprague-Dawley ; Young Adult ; Convolutional Neural Networks

The incomplete degradation of tumour cells by macrophages (Mϕ) is a contributing factor to tumour progression and metastasis, and the degradation function of Mϕ is mediated through phagosomes and lysosomes. In our preliminary experiments, we found that overactivation of NADPH oxidase 2 (NOX2) reduced the ability of Mϕ to degrade engulfed tumour cells. Above this, we screened out liquiritin from Glycyrrhiza uralensis Fisch, which can significantly inhibit NOX2 activity and inhibit tumours, to elucidate that suppressing NOX2 can enhance the ability of Mϕ to degrade tumour cells. We found that the tumour environment could activate the NOX2 activity in Mϕ phagosomes, causing Mϕ to produce excessive reactive oxygen species (ROS), thus prohibiting the formation of phagolysosomes before degradation. Conversely, inhibiting NOX2 in Mϕ by liquiritin can reduce ROS and promote phagosome-lysosome fusion, therefore improving the enzymatic degradation of tumour cells after phagocytosis, and subsequently promote T cell activity by presenting antigens. We further confirmed that liquiritin down-regulated the expression of the NOX2 specific membrane component protein gp91 phox, blocking its binding to the NOX2 cytoplasmic component proteins p67 phox and p47 phox, thereby inhibiting the activity of NOX2. This study elucidates the specific mechanism by which Mϕ cannot degrade tumour cells after phagocytosis, and indicates that liquiritin can promote the ability of Mϕ to degrade tumour cells by suppressing NOX2.