Objective:This study evaluates the horizontal sound localization ability of young and middle-aged individuals with symmetric sensorineural hearing loss (SNHL) in noisy environments. It also examines the impact of hearing loss severity and signal-to-noise ratio (SNR) on localization accuracy.Methods:In this cross-sectional study, conducted from April 2023 to April 2024, 135 young and middle-aged patients (73 males and 62 females, aged 18-60 years) with SNHL who sought care at Beijing Chaoyang Hospital, were categorized into mild, moderate, and moderate-to-severe hearing loss groups (45 per group), with 45 normal-hearing controls (23 males and 22 females, aged 20-60 years). Participants completed localization tasks in quiet and noisy environments with SNR levels of 5 dB, 0 dB, -5 dB, and-10 dB. Root mean square error (RMSE) was used to measure localization accuracy. Repeated measures ANOVA assessed the effects of hearing loss and SNR on RMSE, while, Pearson correlation evaluated the relationship between binaural 4-frequency pure-tone average (4fPTA) and RMSE. Multiple linear regression analyzed the predictive role of 4fPTA and age.Results:(1) Two-way repeated measures ANOVA showed that both hearing loss severity and SNR significantly affected RMSE ( F=92.67, P<0.01; F=430.29, P<0.01), with a significant interaction between the two factors( F=92.67, P<0.01). (2) RMSE increased with hearing loss severity. At SNRs of 5 dB, 0 dB, and-5 dB, the moderate-to-severe group had significantly higher RMSE than the mild and moderate groups ( P<0.01). No significant differences were found between mild and moderate groups ( P=0.53, 0.57, 0.22). At-10 dB SNR, significant differences were observed across all groups ( P<0.01). (3) RMSE increased non-linearly as SNR decreased. Mean RMSE values under quiet conditions and at SNRs of 5 dB, 0 dB, -5 dB, and-10 dB were (7.43±5.01)°, (9.80±5.74)°, (11.60±6.22)°, (14.56±7.07)°, and (18.74±8.02)°, respectively. (4) RMSE was significantly positively correlated with binaural 4fPTA ( r=0.54-0.58, P<0.01). Multiple linear regression analysis indicated that the binaural average 4fPTA significantly predicted RMSE ( P<0.01), explaining 30.5%-34.1% of RMSE variance. Age did not significantly contribute to RMSE variation. Conclusions:The degree of hearing loss and background noise SNR significantly affect horizontal sound localization in young and middle-aged SNHL patients. RMSE increases with hearing loss severity and decreases with higher SNR. The interaction between hearing loss and SNR is significant, and RMSE correlates with binaural 4fPTA. However, the regression model based on 4fPTA and age explains only part of the RMSE variance, suggesting other contributing factors.

Objective:To develop and validate a predictive model for massive hemorrhage during brain tumor resection in pediatric patients.Methods:A retrospective analysis was performed on the clinical data from pediatric patients who underwent elective brain tumor resection under general anesthesia at the Women and Children′s Medical Center Affiliated to Guangzhou Medical University from December 2016 to October 2023. The patients were randomly divided into model group and internal validation group in a ratio of 8∶2. Pediatric patients who underwent elective brain tumor resection under general anesthesia at Qilu Hospital of Shandong University from January 2021 to July 2024 were selected and served as external validation group. Relevant characteristic variables were screened through Lasso regression. A multivariate logistic regression was used to develop the model and plot the nomogram for intraoperative massive hemorrhage. The performance of the model was evaluated using the area under the receiver operating characteristic curve and calibration curve.Results:Through Lasso regression and multivariate logistic regression analyses, 11 independent influencing factors were identified: age ( OR=0.323, 95% confidence interval [ CI]: 0.280-0.374, P<0.001), weight ( OR=0.164, 95% CI: 0.135-0.199, P<0.001), activated partial thromboplastin time ( OR=1.133, 95% CI: 1.036-1.239, P=0.006), thrombin time ( OR=1.141, 95% CI: 1.048-1.243, P=0.002), red blood cell count ( OR=0.941, 95% CI: 0.888-0.996, P=0.035), hemoglobin concentration ( OR=0.873, 95% CI: 0.822-0.926, P<0.001), platelet count ( OR=1.062, 95% CI: 1.001-1.127, P=0.048), maximum tumor diameter ( OR=2.384, 95% CI: 2.241-2.536, P<0.001), tumor invasiveness ( OR=2.376, 95% CI: 2.071-2.726, P<0.001), hydrocephalus ( OR=2.409, 95% CI: 2.139-2.713, P<0.001), and centered midline structure ( OR=0.509, 95% CI: 0.465-0.557, P<0.001). Based on this, a nomogram prediction model was established. The receiver operating characteristic curve showed that the area under the curve of this model in predicting the risk of massive hemorrhage during brain tumor resection was 0.936 (95% CI: 0.90-0.959) in model group, 0.863 (95% CI: 0.744-0.948) in internal validation group, and 0.855 (95% CI: 0.726-0.955) in external validation group. The calibration curve indicated good model consistency, and the Hosmer-Lemeshow goodness-of-fit test result showed a P value of 0.979 ( P>0.05). Conclusions:Age, body weight, activated partial thromboplastin time, thrombin time, red blood cell count, hemoglobin concentration, platelet count, maximum tumor diameter, tumor invasiveness, hydrocephalus and midline structure are independent influencing factors for major bleeding during brain tumor resection in pediatric patients, and the prediction model established based on this histogram has high accuracy.

Objective:To develop and validate a predictive model for massive hemorrhage during brain tumor resection in pediatric patients.Methods:A retrospective analysis was performed on the clinical data from pediatric patients who underwent elective brain tumor resection under general anesthesia at the Women and Children′s Medical Center Affiliated to Guangzhou Medical University from December 2016 to October 2023. The patients were randomly divided into model group and internal validation group in a ratio of 8∶2. Pediatric patients who underwent elective brain tumor resection under general anesthesia at Qilu Hospital of Shandong University from January 2021 to July 2024 were selected and served as external validation group. Relevant characteristic variables were screened through Lasso regression. A multivariate logistic regression was used to develop the model and plot the nomogram for intraoperative massive hemorrhage. The performance of the model was evaluated using the area under the receiver operating characteristic curve and calibration curve.Results:Through Lasso regression and multivariate logistic regression analyses, 11 independent influencing factors were identified: age ( OR=0.323, 95% confidence interval [ CI]: 0.280-0.374, P<0.001), weight ( OR=0.164, 95% CI: 0.135-0.199, P<0.001), activated partial thromboplastin time ( OR=1.133, 95% CI: 1.036-1.239, P=0.006), thrombin time ( OR=1.141, 95% CI: 1.048-1.243, P=0.002), red blood cell count ( OR=0.941, 95% CI: 0.888-0.996, P=0.035), hemoglobin concentration ( OR=0.873, 95% CI: 0.822-0.926, P<0.001), platelet count ( OR=1.062, 95% CI: 1.001-1.127, P=0.048), maximum tumor diameter ( OR=2.384, 95% CI: 2.241-2.536, P<0.001), tumor invasiveness ( OR=2.376, 95% CI: 2.071-2.726, P<0.001), hydrocephalus ( OR=2.409, 95% CI: 2.139-2.713, P<0.001), and centered midline structure ( OR=0.509, 95% CI: 0.465-0.557, P<0.001). Based on this, a nomogram prediction model was established. The receiver operating characteristic curve showed that the area under the curve of this model in predicting the risk of massive hemorrhage during brain tumor resection was 0.936 (95% CI: 0.90-0.959) in model group, 0.863 (95% CI: 0.744-0.948) in internal validation group, and 0.855 (95% CI: 0.726-0.955) in external validation group. The calibration curve indicated good model consistency, and the Hosmer-Lemeshow goodness-of-fit test result showed a P value of 0.979 ( P>0.05). Conclusions:Age, body weight, activated partial thromboplastin time, thrombin time, red blood cell count, hemoglobin concentration, platelet count, maximum tumor diameter, tumor invasiveness, hydrocephalus and midline structure are independent influencing factors for major bleeding during brain tumor resection in pediatric patients, and the prediction model established based on this histogram has high accuracy.

Objective:This study evaluates the horizontal sound localization ability of young and middle-aged individuals with symmetric sensorineural hearing loss (SNHL) in noisy environments. It also examines the impact of hearing loss severity and signal-to-noise ratio (SNR) on localization accuracy.Methods:In this cross-sectional study, conducted from April 2023 to April 2024, 135 young and middle-aged patients (73 males and 62 females, aged 18-60 years) with SNHL who sought care at Beijing Chaoyang Hospital, were categorized into mild, moderate, and moderate-to-severe hearing loss groups (45 per group), with 45 normal-hearing controls (23 males and 22 females, aged 20-60 years). Participants completed localization tasks in quiet and noisy environments with SNR levels of 5 dB, 0 dB, -5 dB, and-10 dB. Root mean square error (RMSE) was used to measure localization accuracy. Repeated measures ANOVA assessed the effects of hearing loss and SNR on RMSE, while, Pearson correlation evaluated the relationship between binaural 4-frequency pure-tone average (4fPTA) and RMSE. Multiple linear regression analyzed the predictive role of 4fPTA and age.Results:(1) Two-way repeated measures ANOVA showed that both hearing loss severity and SNR significantly affected RMSE ( F=92.67, P<0.01; F=430.29, P<0.01), with a significant interaction between the two factors( F=92.67, P<0.01). (2) RMSE increased with hearing loss severity. At SNRs of 5 dB, 0 dB, and-5 dB, the moderate-to-severe group had significantly higher RMSE than the mild and moderate groups ( P<0.01). No significant differences were found between mild and moderate groups ( P=0.53, 0.57, 0.22). At-10 dB SNR, significant differences were observed across all groups ( P<0.01). (3) RMSE increased non-linearly as SNR decreased. Mean RMSE values under quiet conditions and at SNRs of 5 dB, 0 dB, -5 dB, and-10 dB were (7.43±5.01)°, (9.80±5.74)°, (11.60±6.22)°, (14.56±7.07)°, and (18.74±8.02)°, respectively. (4) RMSE was significantly positively correlated with binaural 4fPTA ( r=0.54-0.58, P<0.01). Multiple linear regression analysis indicated that the binaural average 4fPTA significantly predicted RMSE ( P<0.01), explaining 30.5%-34.1% of RMSE variance. Age did not significantly contribute to RMSE variation. Conclusions:The degree of hearing loss and background noise SNR significantly affect horizontal sound localization in young and middle-aged SNHL patients. RMSE increases with hearing loss severity and decreases with higher SNR. The interaction between hearing loss and SNR is significant, and RMSE correlates with binaural 4fPTA. However, the regression model based on 4fPTA and age explains only part of the RMSE variance, suggesting other contributing factors.

Diabetic peripheral neuropathy (DPN) is one of common chronic complications associated with diabetes. In recent years, high-frequency ultrasound, ultrasound elastography, and contrast-enhanced ultrasound have prodived novel approaches for DPN diagnosis. High-frequency ultrasound can effectively demonstrate the morphological alterations of the peripheral nerves, thereby establishing a morphological foundation for DPN diagnosis. Ultrasound elastography can reflect the functional status of the nerves affected by DPN by measuring the elastic changes of the peripheral nerves. Furthermore, contrast-enhanced ultrasound can be utilized to observe the blood perfusion of the target nerves, evaluate microcirculatory alterations in nerve tissue, and serve as references for DPN diagnosis. This paper reviews the progress of high-frequency ultrasound, ultrasound elastography, and contrast-enhanced ultrasound in DPN diagnosis, aiming to provide references for application and promotion of these new ultrasound techniques in DPN early diagnosis.

Objective:To evaluate auditory spatial discrimination capabilities in patients with mild to moderately severe symmetrical sensorineural hearing loss (SNHL) and to compare the impact of different psychophysical testing methods on Minimum Audible Angle (MAA) and test duration.Methods:A total of 105 symmetrical SNHL patients aged from 18 to 60 years old were enrolled from April to July 2023, including 56 males and 49 females. They were divided into three groups based on PTA: mild, moderate, and moderately severe hearing loss, with 35 individuals in each group. Additionally, a control group of 35 individuals with normal hearing was tested, including 18 males and 17 females. Participants underwent four distinct psychophysical discrimination tests: the block up-down, 1-up/1-down, 1-up/2-down, and 1-up/3-down procedures. We recorded the MAA and test duration for each. We employed repeated measures of ANOVA to compare the MAA and test duration across different methods and groups, and Pearson′s correlation to assess the relationship between MAA and degree of hearing loss.Results:MAA of sound localization in patients with symmetrical SNHL was significantly positively correlated with the degree of hearing loss ( r=0.59, P<0.01). Significant deterioration in MAA was observed as hearing loss progressed to the moderate level (PTA≥35 dBHL, P<0.01). The testing methods significantly influenced MAA and testing duration ( F=24.02, P<0.01; F=75.56, P<0.01) and the 1-up/1-down method was the quickest, averaging only (0.69±0.32) mins. Conclusions:The horizontal plane auditory spatial discrimination abilities in patients with symmetrical SNHL is impaired progressively with increasing hearing loss, notably beyond moderate hearing loss levels. Different psychophysical methods influence both MAA and test duration, the quicker 1-up/1-down method is recommended for assessing MAA in symmetrical SNHL patients.

Objective:To explore the metabolic outcomes of type 2 diabetes patients with different durations after 1 year treatment under the standardized metabolic disease management model.Methods:(1)From September 2017 to September 2018, 345 type 2 diabetes patients in the Standardized Metabolic Management Center(MMC) of Shanghai General Hospital were recruited and included in this research. They were divided into newly-diagnosed type 2 diabetes(duration≤1 year) and long-term groups(duration>1 year). The general characteristics, blood pressures, glycemic levels, lipids levels, control rates and comprehensive compliance rates(blood glucose, pressure and lipids all reached targets) were compared at baseline between 2 groups.(2)All patients underwent one year standardized management, and metabolic indicators mentioned above and control rates at the time were compared as well.Results:(1) At baseline, compared with long-term group, patients in newly-diagnosed type 2 diabetes group were younger ( P<0.01), and 2 h blood glucose level after glucose loading were higher [(15.20±5.26 vs 13.68±4.94) mmol/L, P<0.01]. (2) After one year standardized management, body weight, blood pressure, glucose and lipids metabolism in all patients were significantly improved. Compared with patients in long-term group, newly-diagnosed type 2 diabetes patients achieved better glycemic level [fasting blood glucose(6.27±1.56 vs 7.63±2.08) mmol/L, P<0.01; glycated hemoglobin(6.33±0.96 vs 7.23±1.37) %, P<0.01] , and had higher HOMA-β [(74.01±56.45 vs 40.17±37.07) %, P<0.01]. The glycemic control, blood pressure and blood lipids control rates in both groups increased significantly in one year. Comprehensive compliance rate of the whole patients increased from 5.80% to 24.06%. The metabolism indexes of the newly-diagnosed type 2 diabetes group were better than those of the long-term group[comprehensive compliance rate: (24.73% vs 17.18%, P=0.087, glycemic control rate(84.62% vs 53.37%, P<0.01)]. Conclusion:Standardized metabolic disease management promoted the overall improvement in blood glucose, blood pressure, and lipids levels in type 2 diabetes patients, especially in terms of blood glucose and those of the newly-diagnosed type 2 diabetes. In the future, we should focus on the early diagnosis and treatment of type 2 diabetes, actively promote the MMC model and stress the integrated management of blood glucose, blood pressure, and blood lipid levels. We should pay more attention to the long-term patients, to improve their awareness and treatment compliance.

Lymphocytic hypophysitis(LYH) is a rare autoimmune inflammatory disorder of the pituitary gland, usually affecting young women in late pregnancy or postpartum period. To enhance the knowledge of LYH, herein we reported a case of LYH in a female during postpartum who presented with pituitary crisis.

Objective: To explore the glycemic control of newly-diagnosed type 2 diabetes with different levels of baseline body mass index (BMI) after 6 months treatment under the standardized metabolic disease management model. Methods: (1) 163 patients of newly-diagnosed type 2 diabetes were divided into normal weight (BMI 18.5-23.9 kg/m²), overweight (BMI 24.0-27.9 kg/m²), and obese (BMI≥28 kg/m²) groups according to baseline BMI, the blood glucose and lipids levels were compared among 3 groups. (2) The blood glucose levels were compared among 3 groups after 6 months of standardized management. (3) The overweight and obese patients were divided into group weight loss≥5% and group weight loss<5% or weight gain in 6 months. The blood glucose levels were compared. Results: (1) At baseline, overweight and obese groups had higher homeostasis model assessment for insulin resistance and lower high density lipoprotein-cholesterol compared with normal weight group. (2) After 6 months of treatment, HbA_1C and HbA_1C reduction showed no difference among 3 groups (normal, overweight and obese) after adjusted by baseline HbA_1C. The rate of HbA_1C<7% among 3 groups were 77.78%, 83.95%, and 80.43% (P>0.05). (3) After 6 months of treatment, 32.28% overweight and obese patients lost weight by ≥ 5%, while HbA_1Cand HbA_1Creduction showed no difference between 2 groups (weight loss≥5% and weight gain or weight loss<5%) after adjusted by baseline HbA_1C. Both groups achieved good glycemic control [(6.27±1.38 vs 6.43±0.66)%], but have no significantly(P>0.05). Group weight loss≥5% had better glucose control (92.68% vs 77.91%, P<0.05). Conclusions As BMI increased, insulin resistance and lipid disorders were more serious in newly-diagnosed type 2 diabetes. After 6 months of standardized metabolic management, newly-diagnosed type 2 diabetes with different baseline BMI and weight changes both achieved good glycemic control. In addition, patients losing weight equal to or more than 5% achieved higher attainment of HbA_1C targets.

Objective To provide a basic profile of resting?state functional connectivity (FC) in unmedicated patients with major depressive disorder (MDD). Methods Fifty unmedicated patients with MDD and 51 healthy controls underwent the resting?state functional magnetic resonance imaging (rs?fMRI). After preprocessing of rs?fMRI, the seed?based resting?state FC of the insular subdivisions, including the anterior insula, middle insula, and posterior insula, was evaluated. Two?sample t?test and multiple comparison correction of Threshold?Free Cluster Enhancement (TFCE) were used to compare the FC values of each group to locate the regions with significant change, where its correlation to the Hamilton Depression Scale (HAMD24) scores was also explored. Results In comparison to the healthy controls, the MDD patients decreased FC between the left anterior insula and bilateral anterior cingulate cortices (t=-4.83, P<0.05, TFCE correction), and increased FC between the left anterior insula and the left middle frontal gyrus, as well as the bilateral posterior cingulate cortices/precuneus (t=4.08, 4.42;both P<0.05, TFCE correction). There were no significant correlations between the HAMD24 scores and the FC values from the left anterior insula to the bilateral anterior cingulate cortices (r=-0.125, P=0.387), the left middle frontal gyrus (r=0.149, P=0.302), and the bilateral posterior cingulate cortices/precuneus (r=-0.207, P=0.148). Conclusion Patients with depression have abnormal functional connectivity between the left anterior insula and the other two regions, such as the limbic system and the frontal cortex, which may present with an aweakened insula?anterior cingulate gyrus connectivity, and the enhanced insular?frontal, and insula-posterior cingulate/precuneus connectivity.