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 explore the influencing factors of delayed bleeding after endoscopic gastric polypectomy in antithrombotic patients.Methods A retrospective case-control study was conducted,42 patients who experienced delayed bleeding after endoscopic gastric polypectomy during antithrombotic therapy at Dongguan Eighth People's Hospital from April 2021 to April 2024 were selected as the bleeding group,and 84 patients who underwent the same surgery during the same period without delayed postoperative bleeding were selected as the non-bleeding group.The general data,polyps and antithrombotic treatment of the two groups were compared.The influencing factors of delayed bleeding after endoscopic gastric polypectomy in patients with antithrombotic treatment were analyzed by conditional Logistic regression,and the predictive value was evaluated by the receiver operating characteristic(ROC)curve.Results The maximum polyp diameter of the bleeding group was larger than that of the non-bleeding group(P<0.05).There were significant differences in the number of antithrombotic drugs and the management of antithrombotic drugs between the two groups(P<0.05).Logistic regression analysis showed that the large maximum polyp diameter before surgery(OR=4.056,95%CI:2.116 to 7.775),the use of multiple antithrombotic drugs before surgery(OR=5.308,95%CI:1.516 to 18.583),and the withdrawal of all antithrombotic drugs but the application of renal replacement therapy(OR=7.167,95%CI:1.921 to 26.734)were the risk factors for postoperative delayed bleeding(P<0.05).ROC curve showed the area under the curve of the large maximum polyp diameter before surgery,the use of multiple antithrombotic drugs before surgery,and the withdrawal of all antithrombotic drugs but the application of renal replacement therapy for predicting postoperative delayed bleeding were 0.882(95%CI:0.812 to 0.932),0.702(95%CI:0.614 to 0.781)and 0.746(95%CI:0.661 to 0.820).Conclusion The large maximum polyp diameter before surgery,preoperative use of multiple antithrombotic drugs,and the application of renal replacement therapy are influencing factors for delayed bleeding after endoscopic gastric polypectomy in antithrombotic patients.

Objective To explore the predictive value of MRI parameters of carotid artery plaque combined with low density lipoprotein cholesterol/high density lipoprotein cholesterol(LDL-C/HDL-C)ratio for predicting ischemic stroke in young patients with carotid atherosclerosis.Methods Totally 125 young patients with carotid atherosclerosis were prospectively included and divided into stroke group and non-stroke group based on whether ischemic stroke occurred within 3 months.Clinical data,laboratory indicators and carotid plaque-related MRI parameters were compared between groups.Based on carotid plaque-related MRI parameters being statistically different between groups,combined model 1 was constructed using multivariable logistic regression analysis,while combined model 2 was constructed combined with LDL-C/HDL-C ratio.The efficacy of each parameter and model for predicting ischemic stroke in young adults was analyzed.Results There were 48 cases in stroke group and 77 cases in non-stroke group.The levels of glycosylated hemoglobin,LDL-C,LDL-C/HDL-C ratio,carotid artery stenosis rate,plaque eccentricity index and plaque enhancement rate in stroke group were all higher than those in non-stroke group(all P＜0.05).The area under the curve(AUC)of LDL-C/HDL-C ratio,carotid artery stenosis rate,plaque eccentricity index,plaque enhancement rate,combined model 1 and 2 for predicting ischemic stroke in young adults was 0.816,0.757,0.768,0.805,0.883 and 0.936,respectively,of combined model 1 was higher than those of single parameter(all P＜0.05),while of combined model 2 was higher than that of combined model 1(Z=2.336,P=0.020).Conclusion MRI parameters of carotid artery plaque combined with LDL-C/HDL-C ratio could effectively predict ischemic stroke in young patients with carotid atherosclerosis.

Objective To establish a risk factor model for intracranial artery stenosis in young patients with acute ischemic stroke(AIS)based on high-resolution magnetic resonance vascular wall imaging(HR-VWI).Methods Young patients with AIS(n=290)treated at Hengshui People's Hospital between January 2021 and January 2023 were retrospectively analyzed and randomly divided into a modeling set(203 cases)and a validation set(n=87)at a ratio of 7∶3.Patients in the modeling set were divided into the stenosis and non-ste-nosis groups according to whether they had intracranial artery stenosis.Multivariate logistic regression was used to analyze the clinical data and HR-VWI characteristics of the patients in the modeling set to screen for factors influencing intracranial artery stenosis in young patients with AIS.R software was used to construct and verify the risk factor model.Results Among the 290 patients,88 had intracranial artery stenosis(30.34％).The proportions of low-density lipoprotein cholesterol(LDL-C),plaque load,smoking history,hypertension,and eccentric plaques were higher in the stenosis group than in the non-stenosis group(P＜0.05),and the minimum lumen area and remode-ling index were lower in the stenosis group than in the non-stenosis group(P＜0.05).Multivariate logistic regression analysis showed that smoking history,hypertension,LDL-C level,plaque load,plaque morphology,and remodeling index were all factors influencing intracra-nial artery stenosis in young patients with AIS(P＜0.05).Based on the above risk factors,R was used to build a nomogram early warning model.The ROC results showed that the AUC of the nomogram model for predicting intracranial artery stenosis in the modelling and vali-dation sets were 0.872(95％CI:0.815-0.902)and 0.850(95％CI:0.789-0.891),respectively.The Hosmer-Lemeshow test results of the modeling and validation sets were x2=0.589,P=0.571 and x2=0.602,P=0.558,respectively.The calibration curves of the two groups were consistent with the standard curves.Conclusion The risk factor model for intracranial artery stenosis in young patients built in this study based on HR-VWI features exhibits good predictive efficacy,providing a new method for clinical prevention and treatment.

Objective To explore the influencing factors of delayed bleeding after endoscopic gastric polypectomy in antithrombotic patients.Methods A retrospective case-control study was conducted,42 patients who experienced delayed bleeding after endoscopic gastric polypectomy during antithrombotic therapy at Dongguan Eighth People's Hospital from April 2021 to April 2024 were selected as the bleeding group,and 84 patients who underwent the same surgery during the same period without delayed postoperative bleeding were selected as the non-bleeding group.The general data,polyps and antithrombotic treatment of the two groups were compared.The influencing factors of delayed bleeding after endoscopic gastric polypectomy in patients with antithrombotic treatment were analyzed by conditional Logistic regression,and the predictive value was evaluated by the receiver operating characteristic(ROC)curve.Results The maximum polyp diameter of the bleeding group was larger than that of the non-bleeding group(P<0.05).There were significant differences in the number of antithrombotic drugs and the management of antithrombotic drugs between the two groups(P<0.05).Logistic regression analysis showed that the large maximum polyp diameter before surgery(OR=4.056,95%CI:2.116 to 7.775),the use of multiple antithrombotic drugs before surgery(OR=5.308,95%CI:1.516 to 18.583),and the withdrawal of all antithrombotic drugs but the application of renal replacement therapy(OR=7.167,95%CI:1.921 to 26.734)were the risk factors for postoperative delayed bleeding(P<0.05).ROC curve showed the area under the curve of the large maximum polyp diameter before surgery,the use of multiple antithrombotic drugs before surgery,and the withdrawal of all antithrombotic drugs but the application of renal replacement therapy for predicting postoperative delayed bleeding were 0.882(95%CI:0.812 to 0.932),0.702(95%CI:0.614 to 0.781)and 0.746(95%CI:0.661 to 0.820).Conclusion The large maximum polyp diameter before surgery,preoperative use of multiple antithrombotic drugs,and the application of renal replacement therapy are influencing factors for delayed bleeding after endoscopic gastric polypectomy in antithrombotic patients.

Objective To explore the predictive value of MRI parameters of carotid artery plaque combined with low density lipoprotein cholesterol/high density lipoprotein cholesterol(LDL-C/HDL-C)ratio for predicting ischemic stroke in young patients with carotid atherosclerosis.Methods Totally 125 young patients with carotid atherosclerosis were prospectively included and divided into stroke group and non-stroke group based on whether ischemic stroke occurred within 3 months.Clinical data,laboratory indicators and carotid plaque-related MRI parameters were compared between groups.Based on carotid plaque-related MRI parameters being statistically different between groups,combined model 1 was constructed using multivariable logistic regression analysis,while combined model 2 was constructed combined with LDL-C/HDL-C ratio.The efficacy of each parameter and model for predicting ischemic stroke in young adults was analyzed.Results There were 48 cases in stroke group and 77 cases in non-stroke group.The levels of glycosylated hemoglobin,LDL-C,LDL-C/HDL-C ratio,carotid artery stenosis rate,plaque eccentricity index and plaque enhancement rate in stroke group were all higher than those in non-stroke group(all P＜0.05).The area under the curve(AUC)of LDL-C/HDL-C ratio,carotid artery stenosis rate,plaque eccentricity index,plaque enhancement rate,combined model 1 and 2 for predicting ischemic stroke in young adults was 0.816,0.757,0.768,0.805,0.883 and 0.936,respectively,of combined model 1 was higher than those of single parameter(all P＜0.05),while of combined model 2 was higher than that of combined model 1(Z=2.336,P=0.020).Conclusion MRI parameters of carotid artery plaque combined with LDL-C/HDL-C ratio could effectively predict ischemic stroke in young patients with carotid atherosclerosis.

Objective To establish a risk factor model for intracranial artery stenosis in young patients with acute ischemic stroke(AIS)based on high-resolution magnetic resonance vascular wall imaging(HR-VWI).Methods Young patients with AIS(n=290)treated at Hengshui People's Hospital between January 2021 and January 2023 were retrospectively analyzed and randomly divided into a modeling set(203 cases)and a validation set(n=87)at a ratio of 7∶3.Patients in the modeling set were divided into the stenosis and non-ste-nosis groups according to whether they had intracranial artery stenosis.Multivariate logistic regression was used to analyze the clinical data and HR-VWI characteristics of the patients in the modeling set to screen for factors influencing intracranial artery stenosis in young patients with AIS.R software was used to construct and verify the risk factor model.Results Among the 290 patients,88 had intracranial artery stenosis(30.34％).The proportions of low-density lipoprotein cholesterol(LDL-C),plaque load,smoking history,hypertension,and eccentric plaques were higher in the stenosis group than in the non-stenosis group(P＜0.05),and the minimum lumen area and remode-ling index were lower in the stenosis group than in the non-stenosis group(P＜0.05).Multivariate logistic regression analysis showed that smoking history,hypertension,LDL-C level,plaque load,plaque morphology,and remodeling index were all factors influencing intracra-nial artery stenosis in young patients with AIS(P＜0.05).Based on the above risk factors,R was used to build a nomogram early warning model.The ROC results showed that the AUC of the nomogram model for predicting intracranial artery stenosis in the modelling and vali-dation sets were 0.872(95％CI:0.815-0.902)and 0.850(95％CI:0.789-0.891),respectively.The Hosmer-Lemeshow test results of the modeling and validation sets were x2=0.589,P=0.571 and x2=0.602,P=0.558,respectively.The calibration curves of the two groups were consistent with the standard curves.Conclusion The risk factor model for intracranial artery stenosis in young patients built in this study based on HR-VWI features exhibits good predictive efficacy,providing a new method for clinical prevention and treatment.

In this study, a series of 18 histone deacetylases inhibitors (HDACis), derived from our in-house anti-cancer trans-β-arylacryl 1,2,3,4-tetrahydroisoquinoline-based scaffold, were designed, synthesized, and antitumor evaluated. HDAC1 inhibitory activity assay showed that compounds 13d-13f and 13m-13o demonstrated attractive enzymatic activity with IC₅₀ at single-digit nanomolar or subnanomolar level.In addition, 13o exerted superior anti-proliferative activity (A549, IC₅₀ = 0.89 μmol·L^-1; HCT116, IC₅₀ = 0.49 μmol·L^-1) to that of vorinostat (SAHA).Besides,13e, with the most potent HDAC1 enzymatic activity (IC₅₀ = 3.8 nmol·L^-1), also displayed attractive cellular activity (A549, IC₅₀ = 1.74 μmol·L^-1; HCT116, IC₅₀ = 2.43 μmol·L^-1). The Western blot analysis illustrated that 13e treatment increased the acetylation of H3 and α-tubulin in a dose-dependent manner in A549 cells. In summary, 13e and 13o deserve further functional investigation.

P-glycoprotein (P-gp) highly expressed in cancer cells can lead to multidrug resistance (MDR) and the combination of anti-cancer drugs with P-gp inhibitor has been a promising strategy to reverse MDR in cancer treatment. In this study, we established a label-free and detergent-free system combining surface plasmon resonance (SPR) biosensor with styrene maleic acid (SMA) polymer membrane proteins (MPs) stabilization technology to screen potential P-gp inhibitors. First, P-gp was extracted from MCF-7/ADR cells using SMA polymer to form SMA liposomes (SMALPs). Following that, SMALPs were immobilized on an SPR biosensor chip to establish a P-gp inhibitor screening system, and the affinity between P-gp and small molecule ligand was determined. The methodological investigation proved that the screening system had good specificity and stability. Nine P-gp ligands were screened out from 50 natural products, and their affinity constants with P-gp were also determined. The in vitro cell verification experiments demonstrated that tetrandrine, fangchinoline, praeruptorin B, neobaicalein, and icariin could significantly increase the sensitivity of MCF-7/ADR cells to Adriamycin (Adr). Moreover, tetrandrine, praeruptorin B, and neobaicalein could reverse MDR in MCF-7/ADR cells by inhibiting the function of P-gp. This is the first time that SMALPs-based stabilization strategy was applied to SPR analysis system. SMA polymer can retain P-gp in the environment of natural lipid bilayer and thus maintain the correct conformation and physiological functions of P-gp. The developed system can quickly and accurately screen small molecule ligands of complex MPs and obtain affinity between complex MPs and small molecule ligands without protein purification.

Objective: To identify the characteristics including clinical features and pulmonary computed tomography (CT) features of heart failure and novel coronavirus pneumonia(COVID-19). Methods: This study was a retrospective study. A total of 7 patients with Heart failure and 12 patients with COVID-19 in the Second Xiangya Hospital of Central South University between December 1, 2019 and February 15, 2020 were enrolled. The baseline clinical and imaging features of the two groups were statistically analyzed. Results: There was no significant difference in age and sex between the two groups, but the incidence of epidemiological contact history, fever or respiratory symptoms in the COVID-19 group was significantly higher than that in the heart failure group (12/12 vs. 2/7, P=0.001; 12/12 vs. 4/7, P<0.001). While the proportion of cardiovascular diseases and impaired cardiac function was significantly less than that of the heart failure group(2/12 vs.7/7, P<0.001; 0/12 vs.7/7, P<0.001). For imaging features, both groups had ground-glass opacity and thickening of interlobular septum, but the ratio of central and gradient distribution was higher in patients with heart failure than that in patients with COVID-19 (4/7 vs. 1/12, P=0.04). In heart failure group, the ratio of the expansion of small pulmonary veins was also higher (3/7 vs. 0, P=0.013), and the lung lesions can be significantly improved after effective anti-heart failure treatment. Besides, there are more disease with rounded morphology in COVID-19 (9/12 vs. 2/7, P=0.048) . Conclusions More patients with COVID-19 have epidemiological history and fever or respiratory symptoms. There are significant differences in chest CT features, such as enlargement of pulmonary veins, lesions distribution and morphology between heart failure and COVID-19.