Objective:To evaluate the predictive value of stress+ rest gated myocardial perfusion imaging (G-MPI) in assessing all-cause mortality risk in patients with familial hypercholesterolemia (FH).Methods:From June 2010 to March 2022, 72 patients (39 males, 33 females; age (21.1±12.3) years) who diagnosed with FH clinically and genetically and underwent stress+ rest G-MPI in Beijing Anzhen Hospital, Capital Medical University were retrospectively followed up. Image analysis was performed using the 17-segment 5-point method to obtain left ventricular myocardial perfusion and functional parameters. Patients were followed for all-cause mortality events, and predictors associated with the risk of all-cause mortality were analyzed using Cox regression. The efficiencies of predictors were evaluated by ROC curve analysis, and the Kaplan-Meier method and log-rank test were used to compare the differences in the incidence of all-cause mortality in different groups of patients with FH. Independent-sample t test or Mann-Whitney U test was used to analyze the data. Results:The follow-up time of 72 patients was 7(4, 10) years, and all-cause death occurred in 16(22.2%) patients during the follow-up period. There were statistically significant differences in total cholesterol (TC), low density lipoprotein cholesterol (LDLC), summed stress score (SSS), summed rest score (SRS), summed difference score (SDS), stress end-systolic volume (SESV), stress ejection fraction (SEF), rest end-diastolic volume (REDV), rest end-systolic volume (RESV) and rest ejection fraction (REF) between the death group and the survival group ( t values: from -2.65 to 4.47, z values: from -3.43 to -1.98, all P<0.05). Cox regression analysis showed that SDS (hazard ratio ( HR)=1.337, 95% CI: 1.114-1.604, P=0.002), SESV ( HR=1.019, 95% CI: 1.008-1.030, P<0.001) and LDLC ( HR=1.355, 95% CI: 1.049-1.749, P=0.020) were independent predictors associated with the risk of all-cause mortality in patients with FH. The optimal cut-off value of SESV for predicting mortality in patients with FH determined by ROC curve analysis was 35.5 ml, with the AUC of 0.701 (95% CI: 0.517-0.885). The incidence of all-cause mortality in the group with SESV≥35.5 ml was significantly higher than that in the group with SESV<35.5 ml (28.6% vs 6.9%; χ2=5.15, P=0.023). Conclusion:Stress+ rest G-MPI is an important imaging method for all-cause mortality risk assessment in patients with FH, and SDS, SESV and LDLC are important factors in predicting mortality in patients with FH.

Objective:To study the effect of smart phone simplified augmented reality(AR) positioning puncture combined with nerve growth factor (NGF) precision drug delivery technology on the outcome of hypertensive supratentorial cerebral hemorrhage (SHICH) patients.Methods:A retrospective study was performed on 86 patients with SHICH admitted to Tangshan Hongci Hospital from February 2020 to January 2023. According to different treatment strategies, they were divided into puncture group and puncture + NGF group, each group with 43 cases. In both groups, the same group of doctors performed minimally invasive hematoma removal by smart phone simplified AR positioning puncture. The puncture +NGF group was additionally treated with NGF 30 μg through the nasal cavity once a day for 2 weeks. After treatment, the therapeutic effect was compared between the two groups; the cerebral edema volume, National Institutes of Health Stroke Scale (NIHSS) score, hematoma volume, Modified Barthel Index(MBI) score, S100B protein (S100B), neuron-specific enolase (NSE), matrix metalloproteinase-9 (MMP-9), myelin basic protein (MBP), aquaporin (AQP)-1, AQP-4, high mobility group protein B1 (HMGB1), C-reactive protein (CRP) before and after treatment were compared between the two groups; the Glasgow Outcome Scale (GOS) score and complications were compared between two groups.Results:The total effective rate in the puncture + NGF group was higher than that in the puncture group: 95.35%(41/43) vs. 81.40%(35/43), there was statistical difference ( χ2 = 4.07, P<0.05). After treatment for 3 d and 7 d, the brain edema volume, hematoma volume, NIHSS score in the puncture +NGF group were lower than those in the puncture group, while the MBI score was higher than that in the puncture group, there were statistical differences ( P<0.05). After treatment for 3 d and 7 d, the MMP-9, S100B, MBP, NSE, AQP-1, AQP-4, HMGB1 and CRP in the puncture +NGF group were lower than those in the puncture group, there were statistical differences( P<0.05). After treatment, the complication rate between the two groups had no statistical differences ( P>0.05). The GOS scores at 28 d of the two groups had statistical difference ( P<0.05). Conclusions:Smart phone simplified AR positioning puncture combined with NGF precision drug delivery technology can improve the prognosis of SHICH patients, improve the neurological function deficits, and enhance the daily activities.

The surface plasmon resonance(SPR)biosensor technology is a novel optical analysis method for studying intermolecular interactions.Owing to in-depth research on traditional Chinese medicine(TCM)in recent years,comprehensive and specific identification of components and target interactions has become key yet difficult tasks.SPR has gradually been used to analyze the active components of TCM owing to its high sensitivity,strong exclusivity,large flux,and real-time monitoring capabilities.This review sought to briefly introduce the active components of TCM and the principle of SPR,and provide historical and new insights into the application of SPR in the analysis of the active components of TCM.

Objective To observe the value of semi-quantitative parameters related to gated myocardial perfusion imaging(G-MPI)for predicting occurrence of major adverse cardiovascular events(MACE)in patients with chronic kidney disease(CKD).Methods Totally 148 CKD patients who underwent rest G-MPI(R-GMPI)(R-GMPI group,n=95)or stress/rest G-MPI(S/R-GMPI)(S/R-GMPI group,n=53)were retrospectively included.The patients were categorized into MACE subgroup and non-MACE subgroup according to MACE occurred or not during follow-up.Clinical data and G-MPI parameters were compared between subgroups,and independent predictors of MACE in CKD patients were obtained using multivariate Cox proportional hazards regression analysis.Receiver operating characteristic(ROC)curve was drawn,the area under the curve(AUC)was calculated to assess the efficacy of each independent predictor for predicting MACE.Among patients who underwent only R-GMPI,the optimal cut-off value of each parameter for predicting MACE was obtained by ROC curve analysis,and the risk of MACE was stratified,then Kaplan-Meier curves were drawn and compared with log-rank test.Results Among 95 patients who underwent only R-GMPI,compared with non-MACE subgroup,those in MACE subgroup had smaller body mass index(BMI)and higher proportion of previous myocardial infarction and hemodialysis,as well as higher R-GMPI left ventricle end-diastolic volume(R-LVEDV),left ventricle end-systolic volume(R-LVESV),sum rest score(R-SRS)but lower left ventricle ejection fraction(R-LVEF)(all P＜0.05),while R-SRS(HR=1.068,95％CI[1.027,1.110])and R-LVESV(HR=1.011,95％CI[1.005,1.017])were both independent predictors for MACE(both P＜0.05).Among 53 patients who underwent S/R-GMPI,compared with non-MACE subgroup,those in MACE subgroup had with higher blood creatinine and lower estimated glomerular filtration rate(eGFR),higher S-LVESV,R-LVEDV,sum stress score(SSS),SRS and sum difference score(SDS)(all P＜0.05),and SDS(HR=1.454,95％CI[1.063,1.989])was an independent predictor for MACE(P＜0.05).Among 95 CKD patients who underwent only R-GMPI,AUC of R-SRS and R-LVESV alone for predicting MACE was 0.659 and 0.694,respectively,and higher incidence of MACE was found in those w ith R-SRS ≥8 points,also in those with R-LVESV ≥91 ml(both P＜0.05).Conclusion G-MPI could be used to evaluate myocardial perfusion and function in CKD patients.For CKD patients just underwent only R-GMPI,R-SRS and R-LVESV were independent predictors for MACE,whereas SDS might be utilized to predict MACE in CKD patients who could undergo S/R-GMPI.

Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

Objective To investigate the current situation and health effects of indoor microbial pollution in Xi'an, to analyze the purification effect of air purifiers on indoor microbial pollution, and to provide reference for improving the indoor environment. Methods Through stratified random sampling, 20 families from rural areas and 20 families from upwind and downwind urban areas respectively were selected from Xi'an. Data was collected by questionnaire surveys and on-site environmental sampling. Non-parametric analysis and correlation analysis were used for statistical analysis. Results Overall, the standard-exceeding rate of total count of bacteria was 5.00%. The medians of the total count of bacteria and fungi were 312.50 cfu/m3 and 260.00 cfu/m³, respectively. In terms of health effects, the correlation between rhinitis and cold with total bacterial count was statistically significant (P<0.05), with the correlation coefficients of 0.182 and 0.223, respectively. Purification effect of air purifiers on microbial pollution was statistically significant (P<0.05). After opening for 2 hours, the total numbers of bacteria and fungi decreased significantly. Conclusion The occurrence risk of colds and rhinitis is increased by indoor microbial pollution. Air purifiers have a certain effect on decreasing the total number of bacteria and fungi. It is recommended to use air purifiers with high CADR of particulate matter, double-layer filter and sterilization and dehumidification function, and replace the filters regularly to reduce indoor microbiological contamination.

Objective To compare the effects of three kinds of artificial hydronephrosis in percutaneous nephrolithotomy.Methods A total of 120 patients who underwent single-tract percutaneous nephrolithotomy in the Eighth Hospital of Wuhan from May 2020 to April 2022 were selected and divided equally into three groups according to different methods of artificial hydronephrosis.Patients in group A were received preoperative indwelling ureteral catheter and injection of normal saline through ureteral catheter to dilate renal pelvis and form artificial hydronephrosis.Patients in Group B were placed with double J catheters before surgery,and the bladder was filled with physiological saline through the catheter.The renal pelvis was dilated through the double J catheters,resulting in artificial hydronephrosis.Patients in Group C were received intravenous injection of furosemide and stimulated diuretic method to actively dilate renal pelvis to form hydronephrosis.The one-time puncture success rate,channel establishment time,overall operation time,stone clearance rate and incidence of surgical complications of percutaneous nephrolithotomy after hydronephrosis were compared among the three groups.Results The operation was successfully completed in the three groups.There was no significant difference in the one-time puncture success rate and channel establishment time between group A and group B(P>0.05),which were all higher than group C(P<0.05).The overall operation time of group B was shorter than that of group A and group C(P<0.05).There were no significant differences in stone clearance rate and surgical complications among the three groups(P>0.05).Conclusion Preoperative indwelling of double J tubes to create artificial kidney hydronephrosis has advantages such as high success rate of one-time puncture,short channel establishment time,and surgical time.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.