Objective To investigate the influencing factors of auditory hypersensitivity in normal hearing population and build a risk nomogram model according to the results,so as to provide scientific basis for early identi-fication of high risk population and formulation of prevention strategy.Methods A total of 410 volunteers with nor-mal pure tone hearing were recruited from March to July 2024.The hyperacusis questionnaire(HQ)was used to as-sess the audiroty hypersensitivity of the subjects.The participants were divided into a training set(n=287)and a validation set(n=123)according to a ratio of 7∶3.Binary Logistic model was used to construct risk model and no-mogram.Receiver operating characteristic(ROC)curve,Hosmer-Lemeshow calibration curve,clinical decision curve(DCA)and clinical impact curve were used to verify the differentiation,accuracy and clinical applicability of the model,respectively.Results Among 410 participants,54(13.17％)had hyperacusis including 38(13.24％)in the training set amd 16(13.01)in the validation set.LASSO regression and Logistic regression analysis showed that tinnitus(OR=3.784,95％CI=1.627-8.804),HADS-A(OR=3.860,95％CI=1.503-9.913),HADS-D(OR=3.118,95％CI=1.249-7.785),migraine(OR=2.821,95％CI=1.147-6.937)and noise exposure histo-ry(OR=3.799,95％CI=1.715-8.416)were the influential factors for hyperacusis in participants with normal hearing.Conclusion The incidence of hyperacusis in normal hearing population is 13.17％.Tinnitus,HADS-A,HADS-D,migraine and noise exposure history are related to the occurrence of hyperacusis in normal hearing popula-tion.The risk prediction nomogram model based on the above factors has good differentiation and calibration degree.It can effectively predict the risk of hyperacusis in normal hearing people,and has certain clinical practicability.

Objective To establish a stable liquid chromatography-tandem mass spectrometry(LC-MS/MS)method for detecting gamma-aminobutyric acid(GABA)in plasma,and to evaluate the value of GABA detection in the diagnosis of sleep disorders.Methods GABA was detected using a UPLC Xevo TQs system.The method was pre-validated and its performance was verified to establish a reference range for healthy individuals.The difference in plasma GABA levels between apparently healthy individuals and patients with sleep disorders was compared.Results We employed deuterated compounds as isotopic internal standards and utilized an Amide chromatographic column for separation.The mobile phase was 0.050%formic acid in water and 90%acetonitrile in water containing 0.175%formic acid and 5 mmol/L ammonium acetate with gradient elution in the column temperature of 35℃.The linear range for the detection of GABA by LC-MS/MS was 0.05-10.00 μmol/L,with a lower limit of quantification of 0.02 μmol/L,the inter-day CV<3.00%and intra assay CV<4.00%,respectively,and the recovery rate was 101.06%-109.02%.The reference ranges for plasma GABA were established by analyzing 300 healthy controls stratified by age:18-34 years(0.08-0.15 μmol/L),35-49 years(0.10-0.20 μmol/L),and≥50 years(0.12-0.23 μmol/L).Then plasma GABA was used as a biomarker for auxiliary diagnosis of sleep disorders in analyzing 221 patients and 300 healthy controls,which revealed that AUC values were 0.510(P=0.850),0.686(P=0.002),and 0.890(P<0.001)in the groups of 18-34 years,35-49 years,and≥50 years,respectively,with optimal cut-off values of 0.09,0.10 and 0.11 μmol/L.Conclusion A reliable LC-MS/MS method for detecting GABA has been established,which can detect plasma GABA levels sensitively and accurately and can be used in assisting the clinical diagnosis of sleep disorders.

Objective To explore the factors affecting the coefficient of variation(CV)of glucose in type 2 diabetes mellitus(T2DM)patients based on real-time dynamic glucose monitoring system.Methods A total of 354 patients with T2DM hospitalized in the Department of Endocrinology of Jiangsu Shengze Hospital were enrolled in this study from March 2023 to March 2024 and divided into two groups:the glycemic variability(GV,CV>36%)group(n=118)and the glucose stable(GS,CV≤36%)group(n=236).The clinical data of the two groups were compared,and the influencing factors for CV>36%were analyzed.Results The DM duration and HbA1c were higher(P<0.05),while BMI,visceral fat area,subcutaneous fat area(SFA),FC-P,serum uric acid(SUA),and TG were lower in the GV group than in the GS group(P<0.05).Spearman correlation analysis showed that CV was positively correlated with diabetes duration and HbA1c(P<0.05),and negatively correlated with FC-P,SFA and SUA(P<0.05).Logistic regression analysis showed that DM duration,HbA1c,SFA,FC-P and SUA were the influencing factors for GV.Scatter plot analysis showed that there was a linear trend between CV level and log HbA1c and log SFA in T2DM patients.CV level increased with the increase of log HbA1c,and decreased with the increase of log SFA.ROC curve analysis showed that the area under the curve(AUC)of FC-P was 0.703(95%CI:0.640～0.765,P<0.001)for predicting GV in T2DM patients,and the cut-off value was 1.095 ng/ml.The AUC of SUA was 0.622(95%CI:0.555～0.688,P<0.001)for predicting GV,and the cut-off value was 280.5 μmol/L.Conclusions The DM duration,HbA1c,SFA,FC-P and SUA are important factors for GV,and FC-P and SUA have predictive value for GV.

Objective To investigate the practical effects of pediatric rapid sequence intubation(RSI)nursing coordination training based on the LSPPDM(learn,see,practice,prove,do,maintain)framework in order to provide evidence for optimizing pediatric RSI nursing training programs.Methods Nurses from the intensive care unit(ICU)of Children's Hospital,Fudan University during Feb 2023 and Jan 2024 were divided into the experimental group(n=35)and the control group(n=35)by block randomization.The experimental group received LSPPDM framework-based training,while the control group underwent conventional training with theoretical lectures and procedural demonstrations.Outcomes included training satisfaction,theoretical knowledge and procedural skill assessment scores,team collaboration compliance and RSI procedure time were compared between the two groups.Results The experimental group demonstrated significantly higher training satisfaction(123.80±2.04 vs.117.26±9.82,P<0.05),superior post-training theoretical knowledge and procedural skills(P<0.05),enhanced team collaboration compliance(P<0.05),and shorter RSI completion time(P<0.05)compared with the control group.Conclusion Pediatric RSI nursing coordination training based on the LSPPDM framework can effectively increase training satisfaction,promote theoretical and procedural skills and reduce completion time in nurses.

Objective To investigate the influencing factors of auditory hypersensitivity in normal hearing population and build a risk nomogram model according to the results,so as to provide scientific basis for early identi-fication of high risk population and formulation of prevention strategy.Methods A total of 410 volunteers with nor-mal pure tone hearing were recruited from March to July 2024.The hyperacusis questionnaire(HQ)was used to as-sess the audiroty hypersensitivity of the subjects.The participants were divided into a training set(n=287)and a validation set(n=123)according to a ratio of 7∶3.Binary Logistic model was used to construct risk model and no-mogram.Receiver operating characteristic(ROC)curve,Hosmer-Lemeshow calibration curve,clinical decision curve(DCA)and clinical impact curve were used to verify the differentiation,accuracy and clinical applicability of the model,respectively.Results Among 410 participants,54(13.17％)had hyperacusis including 38(13.24％)in the training set amd 16(13.01)in the validation set.LASSO regression and Logistic regression analysis showed that tinnitus(OR=3.784,95％CI=1.627-8.804),HADS-A(OR=3.860,95％CI=1.503-9.913),HADS-D(OR=3.118,95％CI=1.249-7.785),migraine(OR=2.821,95％CI=1.147-6.937)and noise exposure histo-ry(OR=3.799,95％CI=1.715-8.416)were the influential factors for hyperacusis in participants with normal hearing.Conclusion The incidence of hyperacusis in normal hearing population is 13.17％.Tinnitus,HADS-A,HADS-D,migraine and noise exposure history are related to the occurrence of hyperacusis in normal hearing popula-tion.The risk prediction nomogram model based on the above factors has good differentiation and calibration degree.It can effectively predict the risk of hyperacusis in normal hearing people,and has certain clinical practicability.

Objective To establish a stable liquid chromatography-tandem mass spectrometry(LC-MS/MS)method for detecting gamma-aminobutyric acid(GABA)in plasma,and to evaluate the value of GABA detection in the diagnosis of sleep disorders.Methods GABA was detected using a UPLC Xevo TQs system.The method was pre-validated and its performance was verified to establish a reference range for healthy individuals.The difference in plasma GABA levels between apparently healthy individuals and patients with sleep disorders was compared.Results We employed deuterated compounds as isotopic internal standards and utilized an Amide chromatographic column for separation.The mobile phase was 0.050%formic acid in water and 90%acetonitrile in water containing 0.175%formic acid and 5 mmol/L ammonium acetate with gradient elution in the column temperature of 35℃.The linear range for the detection of GABA by LC-MS/MS was 0.05-10.00 μmol/L,with a lower limit of quantification of 0.02 μmol/L,the inter-day CV<3.00%and intra assay CV<4.00%,respectively,and the recovery rate was 101.06%-109.02%.The reference ranges for plasma GABA were established by analyzing 300 healthy controls stratified by age:18-34 years(0.08-0.15 μmol/L),35-49 years(0.10-0.20 μmol/L),and≥50 years(0.12-0.23 μmol/L).Then plasma GABA was used as a biomarker for auxiliary diagnosis of sleep disorders in analyzing 221 patients and 300 healthy controls,which revealed that AUC values were 0.510(P=0.850),0.686(P=0.002),and 0.890(P<0.001)in the groups of 18-34 years,35-49 years,and≥50 years,respectively,with optimal cut-off values of 0.09,0.10 and 0.11 μmol/L.Conclusion A reliable LC-MS/MS method for detecting GABA has been established,which can detect plasma GABA levels sensitively and accurately and can be used in assisting the clinical diagnosis of sleep disorders.

Objective To identify the hemodynamic characteristics of frontal polar cortex(FPC)in patients with chronic subjective tinnitus,and to study the short-term efficacy of multielement integration sound(MIS)treatment,and its effects on FPC oxyhemoglobin(HbO).Methods Fifty patients with chronic subjective tinnitus(tinnitus group)and 50 subjects without tinnitus matching their age,sex and education level(control group)were collected from June 2023 to Oc-tober 2023.The tinnitus group and control group received MIS treatment for 15 minutes,respectively.Tinnitus handicap inventory(THI)and visual analogue scale(VAS)scores were collected before and after treatment in tinnitus group.Func-tional near infrared spectroscopy(fNIRS)was used to measure the 8-minute average HbO concentration in the frontal cortex of both groups before and after treatment.The changes of HbO concentration before and after treatment were compared be-tween the two groups.The correlation between clinical features and HbO was analyzed.Results The VAS score of the tin-nitus group decreased after short-term MIS treatment.The HbO concentration of FPC in tinnitus group was higher than that in control group before treatment.The HbO concentration of FPC in tinnitus group was decreased by MIS short-term treatment.The difference of HbO concentration before and after treatment(ΔHbO)was positively correlated with the difference of VAS score before and after treatment(ΔVAS)in the tinnitus group.Conclusion The hemodynamics of the frontal polar cortex in chronic subjective tinnitus patients is different from that of in non-tinnitus control group.MIS can change the hemodynamics of the frontal polar cortex in chronic subjective tinnitus patients.The frontal polar cortex may be the site of MIS.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.