Objective To study the hearing intervention effects of the Shokz condyle-stimulated headband bone-conduction hearing aid on patients with conductive,mixed,and sensorineural hearing loss and to explore its clinical application prospects.Methods A total of 55 patients with hearing loss(age 18～82)participated in the study.Among them,9 had conductive hearing loss,15 had sensorineural hearing loss,and 31 had mixed hearing loss.Their bilat-eral bone conduction pure tone thresholds at 0.5,1,2,and 4 kHz were all ≤60 dB HL.The patients were fitted with the condyle-stimulated headband bone-conduction hearing aid.Hearing thresholds in sound field,single-syllable speech recogni-tion scores in quiet,and sentence recognition thresholds in quiet were assessed before fitting and on the day of 14±2 after fitting to compare differences in results.The effectiveness of the hearing aids on the day of 14±2 after fitting was also eval-uated using the IOI-HA questionnaire.Results After wearing the bone-conduction hearing aid,the average hearing thresh-old and sentence recognition threshold of the patients decreased significantly compared with before fitting(the average hear-ing threshold:56.5±8.2 dB HL before fitting,39.3±4.9 dB HL on the day of 14±2 after fitting;sentence recognition threshold:48.6±9.7 dB HL before fitting,34.3±5.6 dB HL on the day of 14±2 after fitting),and the difference was statistically significant(P＜0.001).The single-syllable speech recognition score before fitting was 29.8％±11.4％,and on the day of 14±2 after fitting,it was 72.4％±14.4％,the difference was statistically significant(P＜0.001).The av-erage total score of the IOI-HA questionnaire was 29.0±3.8 points.Conclusion Condyle-stimulated headband bone-con-duction hearing aids can significantly improve the hearing and speech recognition ability of patients with conductive,mixed and sensorineural hearing loss whose bone conduction pure tone thresholds at 0.5～4 kHz were ≤60 dB HL.It may poten-tially improve the quality of life for patients with hearing loss and holds substantial clinical application value.

Objective To investigate the value of CT radiomics for predicting effect of neoadjuvant chemotherapy(NACT)for locally advanced gastric cancer(LAGC).Methods Totally 325 LAGC patients who received NACT were retrospectively enrolled,among them 247 were taken as training set,while the rest 78 were taken as validation set.Tumor regression scale(TRG)was evaluated according to postoperation pathology after NACT,and the efficacy of NACT was evaluated.Univariate logistic regression was used to analyze and screen clinical predictors of effect of NACT,and clinical model was constructed.Radiomics features were extracted based on venous phase enhanced CT pre-and post-NACT,and Delta radiomics features(i.e.the ratio of the difference of pre-and post-NACT radiomics features and pre-NACT radiomics features)were calculated.The best features were screened based on pre-NACT,post-NACT and Delta radiomics features to construct radiomics labels,the optimal label was screened and used to construct combined model through combining clinical model.Receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was calculated to evaluate predicting efficiency of the above models.Decision curve analysis(DCA)was performed to explore the clinical value of each model.Results In training set,significant effect was found in 67 cases,but not in 180 cases,while in validation set,significant effect was found in 18 cases but not in 60 cases.Borrmann classification of LAGC before NACT was the clinical predictor(P=0.031),and clinical model was constructed,which had AUC of 0.577 and 0.520 in training and validation sets,respectively.Based on pre-NACT,post-NACT and Delta radiomics features,19,14 and 17 best features were selected,and AUC of the established radiomics labels of Pre-Rad,Post-Rad and Delta-Rad in training set was 0.672,0.796 and 0.789,while in validation set was 0.558,0.805 and 0.666,respectively.Post-Rad was the optimal label,which was used to construct combined model.AUC of the obtained combined model in training and validation sets was 0.824 and 0.818,respectively,both higher than that of clinical model(both P＜0.001)but not different with that of Post-Rad(both P＞0.05).Taken 0.4 to 0.7 as the threshold,the combined model had higher clinical net benefit than the other two.Conclusion Venous CT radiomics could effectively predict effect of NACT for LAGC.Combining with clinical features could improve its predictive efficacy.

Objective To observe the value of intratumoral and peritumoral CT radiomics for predicting Ki-67 expression level of lung adenocarcinoma with mixed ground glass nodules.Methods Totally 284 cases of pathologically confirmed lung adenocarcinoma with mixed ground glass nodules were retrospectively enrolled,among them 197 cases were taken as training set(54 cases with high and 143 cases with low Ki-67 expression)and 87 cases as validation set(27 cases with high and 60 cases with low Ki-67 expression).Intratumoral and peritumoral radiomic features were obtained from non-contrast chest CT,and radiomic models for predicting Ki-67 expression in lung adenocarcinoma with mixed ground glass nodules were established using adaptive boosting,light gradient boosting machine(LightGBM)and multilayer perceptron algorithms based on intratumoral features,peritumoral features,as well as intratumoral+peritumoral features,respectively,and the optimal radiomics signature was selected according to the area under the receiver operating characteristic curve(AUC).Univariate and multivariate logistic regression analysis were performed to identify independent impact factors of Ki-67 expression level,and a clinical model was constructed,and the efficacy of the models were evaluated.Results Among radiomics models,LightGBMintratumoral+peritumoral model had the highest AUC(0.934 in training set and 0.845 in validation set),which were superior to that of clinical model(0.616 in training set and 0.684 in validation set)(both P＜0.05)Conclusion Intratumoral and peritumoral CT radiomics had good efficacy for predicting Ki-67 expression level of lung adenocarcinoma with mixed ground glass nodules.

Objective To observe the value of intratumoral and peritumoral CT radiomics for predicting Ki-67 expression level of lung adenocarcinoma with mixed ground glass nodules.Methods Totally 284 cases of pathologically confirmed lung adenocarcinoma with mixed ground glass nodules were retrospectively enrolled,among them 197 cases were taken as training set(54 cases with high and 143 cases with low Ki-67 expression)and 87 cases as validation set(27 cases with high and 60 cases with low Ki-67 expression).Intratumoral and peritumoral radiomic features were obtained from non-contrast chest CT,and radiomic models for predicting Ki-67 expression in lung adenocarcinoma with mixed ground glass nodules were established using adaptive boosting,light gradient boosting machine(LightGBM)and multilayer perceptron algorithms based on intratumoral features,peritumoral features,as well as intratumoral+peritumoral features,respectively,and the optimal radiomics signature was selected according to the area under the receiver operating characteristic curve(AUC).Univariate and multivariate logistic regression analysis were performed to identify independent impact factors of Ki-67 expression level,and a clinical model was constructed,and the efficacy of the models were evaluated.Results Among radiomics models,LightGBMintratumoral+peritumoral model had the highest AUC(0.934 in training set and 0.845 in validation set),which were superior to that of clinical model(0.616 in training set and 0.684 in validation set)(both P＜0.05)Conclusion Intratumoral and peritumoral CT radiomics had good efficacy for predicting Ki-67 expression level of lung adenocarcinoma with mixed ground glass nodules.

Objective To study the hearing intervention effects of the Shokz condyle-stimulated headband bone-conduction hearing aid on patients with conductive,mixed,and sensorineural hearing loss and to explore its clinical application prospects.Methods A total of 55 patients with hearing loss(age 18～82)participated in the study.Among them,9 had conductive hearing loss,15 had sensorineural hearing loss,and 31 had mixed hearing loss.Their bilat-eral bone conduction pure tone thresholds at 0.5,1,2,and 4 kHz were all ≤60 dB HL.The patients were fitted with the condyle-stimulated headband bone-conduction hearing aid.Hearing thresholds in sound field,single-syllable speech recogni-tion scores in quiet,and sentence recognition thresholds in quiet were assessed before fitting and on the day of 14±2 after fitting to compare differences in results.The effectiveness of the hearing aids on the day of 14±2 after fitting was also eval-uated using the IOI-HA questionnaire.Results After wearing the bone-conduction hearing aid,the average hearing thresh-old and sentence recognition threshold of the patients decreased significantly compared with before fitting(the average hear-ing threshold:56.5±8.2 dB HL before fitting,39.3±4.9 dB HL on the day of 14±2 after fitting;sentence recognition threshold:48.6±9.7 dB HL before fitting,34.3±5.6 dB HL on the day of 14±2 after fitting),and the difference was statistically significant(P＜0.001).The single-syllable speech recognition score before fitting was 29.8％±11.4％,and on the day of 14±2 after fitting,it was 72.4％±14.4％,the difference was statistically significant(P＜0.001).The av-erage total score of the IOI-HA questionnaire was 29.0±3.8 points.Conclusion Condyle-stimulated headband bone-con-duction hearing aids can significantly improve the hearing and speech recognition ability of patients with conductive,mixed and sensorineural hearing loss whose bone conduction pure tone thresholds at 0.5～4 kHz were ≤60 dB HL.It may poten-tially improve the quality of life for patients with hearing loss and holds substantial clinical application value.

Objective To investigate the value of CT radiomics for predicting effect of neoadjuvant chemotherapy(NACT)for locally advanced gastric cancer(LAGC).Methods Totally 325 LAGC patients who received NACT were retrospectively enrolled,among them 247 were taken as training set,while the rest 78 were taken as validation set.Tumor regression scale(TRG)was evaluated according to postoperation pathology after NACT,and the efficacy of NACT was evaluated.Univariate logistic regression was used to analyze and screen clinical predictors of effect of NACT,and clinical model was constructed.Radiomics features were extracted based on venous phase enhanced CT pre-and post-NACT,and Delta radiomics features(i.e.the ratio of the difference of pre-and post-NACT radiomics features and pre-NACT radiomics features)were calculated.The best features were screened based on pre-NACT,post-NACT and Delta radiomics features to construct radiomics labels,the optimal label was screened and used to construct combined model through combining clinical model.Receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was calculated to evaluate predicting efficiency of the above models.Decision curve analysis(DCA)was performed to explore the clinical value of each model.Results In training set,significant effect was found in 67 cases,but not in 180 cases,while in validation set,significant effect was found in 18 cases but not in 60 cases.Borrmann classification of LAGC before NACT was the clinical predictor(P=0.031),and clinical model was constructed,which had AUC of 0.577 and 0.520 in training and validation sets,respectively.Based on pre-NACT,post-NACT and Delta radiomics features,19,14 and 17 best features were selected,and AUC of the established radiomics labels of Pre-Rad,Post-Rad and Delta-Rad in training set was 0.672,0.796 and 0.789,while in validation set was 0.558,0.805 and 0.666,respectively.Post-Rad was the optimal label,which was used to construct combined model.AUC of the obtained combined model in training and validation sets was 0.824 and 0.818,respectively,both higher than that of clinical model(both P＜0.001)but not different with that of Post-Rad(both P＞0.05).Taken 0.4 to 0.7 as the threshold,the combined model had higher clinical net benefit than the other two.Conclusion Venous CT radiomics could effectively predict effect of NACT for LAGC.Combining with clinical features could improve its predictive efficacy.

Objective To study the relationship between psychological health and social support and coping style in general hospitals. Methods 756 nurses from 3 general hospitals were enrolled by cluster sampling and were investigated by Symptom Checklist 90(SCL-90),Social Support Rate Scale(SSRS)and Simplified Coping Style Questionnaire(SCSQ).The investigation results were analyzed. Results The general level of psychological health of nurses was not optimistic with a positive rate Of 37.04％. The somatizatlon factor of the head nurses was different from that Of normal nurses. Significant difference existed in the following aspects such as somatization, depression and terror factors between night shift nurses and day shift nurses. Relativity could be seen between social support and coping style and psychological health. Conclusion Hospital managers should attach importance to the psychological health of nurses. At the same time they should supply positive social support and instrucitons of coping style to improve the general level of psychological health.