Objective To investigate the effect of dynamic monitoring of occlusal force on the final therapeutic effect and the change of periodontal supporting tissue during combined periodontal orthodontic treatment.Methods The periodontal clinical index of 20 patients with traditional periodontal orthodontic treatment and 20 patients with combined periodontal orthodontic treatment assisted by T-Scan Ⅲ and Anycheck digital occlusion analysis system were compared before,during and after treatment,as well as the changes of bite force,bite time and tooth mobility in the experimental group.Results The depth of periodontal pocket(PD),loss of attachment(AL),bleeding index(BI)and tooth looseness were significantly reduced after combined periodontal orthodontic treatment in both groups.In the control group,the percentage of anterior and posterior biting force changed obviously,and the occlusion force balance was improved.Conclusion The combined treatment of periodontitis and orthodontics can improve the periodontal tissue of patients with periodontitis,and T-Scan system can observe and guide the adjustment of occlusal and better achieve occlusion force balance.

Objective To construct a regulatory network of competing endogenous RNA(ceRNA)with prognostic value for bladder urothelial carcinoma(BLCA),and analyze the relationship between key messenger RNA(mRNA)and immune function.Methods The UCSC Xena database was used to download mRNA expression data from 404 BLCA patients and 28 normal individuals and key mRNAs were screened by differential analysis.ENCORI database was utilized to search microRNAs(miRNAs)that bind to key mRNAs and all long non-coding RNAs(LncRNAs)that bind to miRNAs.The expression data of miRNA and LncRNA were downloaded from TCGA database,co-expression analysis was performed to identify key mRNA with all miRNAs and miRNA with all LncRNAs,and thus key miRNAs and LncRNAs were screened out.Survival analysis was conducted based on the differences in expression levels of these key mRNAs,miRNAs,and LncRNAs between tumor patients and normal individuals,and finally a ceRNA regulatory network was constructed.The correlation between key mRNAs and immune cells,immune checkpoints(CD274,PDCD1 and CTLA4),and immune cell marker genes(IG)was analyzed using the TIMER 2.0 database.Results A total of 22 key mRNAs were screened,with the most significant difference being proline 3-hydroxylase 4(P3H4).The expression of P3H4 in patients with BLCA was high,and survival time was shorter in patients with high expression.A sum of 33 miRNAs and 14 LncRNAs were screened using the key mRNAs as the central link.Through co-expression analysis and survival analysis,hsa-miR-151a-3p and MIR100 HG were identified as the key miRNA and key LncRNA with prognostic value.The differences in the above analysis results were statistically significant(all P＜0.05).Based on these findings,a ceRNA regulatory network consisting of 1 mRNA,1 miRNA,and 1 LncRNA was constructed.Immunoassay firstly revealed a significant positive correlation between double positive T cells and P3H4 expression in the tumor microenvironment of BLCA.Moreover,there were 3 types of immune cells(tumor-associated neutrophils,and tumor-associated macrophages,dendritic cells),3 immune checkpoints(CD274,PDCD1,CTLA4),and 15 IGs with significant correlation with P3H4.These differences were statistically significant(all P＜0.01).Conclusion This study could help to reveal the progression mechanism of BLCA.The constructed ceRNA network and immune analysis can offer new insights into potential biological targets and immunotherapy directions for the diagnosis,treatment,and prediction of BLCA patients.

[Objective]To investigate the effect of remnant cholesterol(RC)/high-density lipoprotein cholesterol(HDL-C)ratio on coronary computed tomography-derived fractional flow reserve(FFRct)in coronary heart disease(CHD)patients with critical lesions.[Methods]A retrospective study was done on patients who were admitted to our de-partment and underwent coronary computed tomography angiography(CCTA)from January 1,2022 to December 31,2022.All the 304 culprit vessels from the 219 patients with moderate coronary artery stenosis(50%～70%)were divided in-to FFRct ischemia group(FFRct≤0.8,N=108)and FFRct non-ischemia group(FFRct>0.8,N=111).Multivariate logis-tic regression analysis was used to explore the influencing factors of FFRct≤0.8 in CHD patients with critical lesions.Re-ceiver operating characteristic(ROC)curve was drawn to evaluate the predictive value of RC/HDL-C for FFRct≤0.8.Pear-son correlation analysis was used to assess whether there was a correlation between RC/HDL-C and FFRct.[Results]There were significantly more diabetic patients in FFRct ischemia group(P<0.001).RC/HDL-C ratio,levels of RC,non-HDL-C,APOB,HbA1c and FPG in FFRct ischemic group were significantly increased(P<0.05).Pearson correlation analysis showed that the RC/HDL-C ratio,levels of RC,Non-HDL-C,TC,TG,LDL-C,HDL-C,LP(a),HbA1c,and FPG were all significantly negatively correlated with FFRct values(P<0.05).Univariate logistic regression analysis showed that diabetes mellitus,RC/HDL-C ratio,levels of RC,non-HDL-C,TG,LP(a),HbA1c and FPG were significantly correlated with FFRct≤0.8(P<0.05).Multivariate logistic regression analysis showed that RC/HDL-C ratio was a predictor of FFRct≤0.80(OR=4.682,95%CI 1.197～18.316,P<0.05).[Conclusions]RC/HDL-C ratio is independently correlated with FFRct≤0.8 in CHD patients with moderate stenosis and it is a potential indicator for evaluating coronary functional ischemia.

Objective To propose an algorithm to extract fetal ECG signals from mixed signals of maternal abdominal wall with high signal-to-noise ratio and clear waveforms by combining kernel principal component analysis(KPCA),fast independent component analysis(FastICA)and singular value decomposition(SVD).Methods Firstly,KPCA was used to downscale the maternal ECG signals,and then the improved negative entropy-based FastICA was applied to processing the downscaled data to obtain the independent components.Subsequently,sample entropy was introduced for signal channel selection,and the signal channel containing the most maternal information was selected.SVD was performed on the selected maternal channel to get an approximate estimate of the maternal ECG signals,which was then subtracted from the abdominal wall source signals to obtain a preliminary estimate of the fetal ECGs.Finally,the pure fetal ECG signals were successfully separated using a modified negentropy-based FastICA.The proposed algorithm was validated in the Abdominal and Direct Fetal Electrocardiogram Database(ADFECGDB)and the PhysioNet 2013 Challenge database.Results The proposed algorithm gained advantages in both subjective visualization and objective evaluation metrics,which had the sensitivity,positive predictive value and F1 value of fetal QRS compound wave respectively being 99.74％,98.85％and 99.30％for the ADFECGDB database,and 99.10％,97.87％and 98.48％for the PhysioNet 2013 Challenge database.Conclusion The fetal ECG signal extraction algorithm incorporating KPCA,FastICA and SVD effectively handles the additional noise while extracting fetal ECG signals,which provides strong support for the early diagnosis of fetal diseases.[Chinese Medical Equipment Journal,2024,45(7):1-7]

Objective To plan microwave antenna puncture direction effectively and realize personalized preoperative simulation by exploring microwave ablation(MWV)outcomes of lung cancer based on real anatomical model.Methods Firstly,a personalized MWA simulation model consisting of the lung tissue,tumor and vascular system was constructed based on the lung CT data of real patients.Secondly,the MWA effect was simulated by coupling 2 physical fields including an electromagnetic field and a biological heat transfer field,so as to determine the volume of the ablation thermocoagulation zone and the temperature distribution of the lung tissue.Finally,the effects of the vascularized network on the ablation results were quantitatively evaluated in terms of conductivity and blood perfusion,and the ablation results were analyzed with different distances between the large vessels and the antennae(5 and 10 mm from the antennae tips)and puncture angles(large vessels parallelling or intersecting with the antennae tips).Results The vascularized network reduced the volume of the thermocoagulation zone by 0.5％to 3.7％,and blood perfusion made the ablation temperature and the volume of the thermocoagulation zone decreased significantly.The cooling effect gradually diminished with the increase of the distance between the large vessels and the antenna.With the same treatment parameters,the thermocoagulation zone formed when the large vessels paralleled with the antenna was obviously larger than that when the vessles intersected with the antenna.Conclusion Personalized MWA simulation analysis based on real CT data contributes to clarifying the temperature distribution and damage estimation close to the actual situation,which provides guidance and reference for precise treatment of the lung tumor and determination of microwave antenna puncture direction.[Chinese Medical Equipment Journal,2024,45(9):27-34]

Objective To explore the prediction of hospital indoor microbial concentration in air based on real-time indoor air environment monitoring data and machine learning algorithms.Methods Four locations in a hospital were selected as monitoring sampling points from May 23 to June 5,2022.The"internet of things"sensor was used to monitor a variety of real-time air environment data.Air microbial concentration data collected at each point were matched,and the gradient boosting decision tree(GBDT)was used to predict real-time indoor microbial concentra-tion in air.Five other common machine learning models were selected for comparison,including random forest(RF),decision tree(DT),k-nearest neighbor(KNN),linear regression(LR)and artificial neural network(ANN).The validity of the model was verified by the mean absolute error(MAE),root mean square error(RMSE)and mean absolute percentage error(MAPE).Results The MAPE value of GBDT model in the outpa-tient elevator room(point A),bronchoscopy room(point B),CT waiting area(point C),and nurses'station in the supply room(point D)were 22.49％,36.28％,29.34％,and 26.43％,respectively.The mean performance of the GBDT model was higher than that of other machine learning models at three sampling points and slightly lower than that of the ANN model at only one sampling point.The mean MAPE value of GBDT model at four sampling points was 28.64％,that is,the predicted value deviated from the actual value by 28.64％,indicating that GBDT model has good prediction results and the predicted value was within the available range.Conclusion The GBDT machine learning model based on real-time indoor air environment monitoring data can improve the prediction accuracy of in-door air microbial concentration in hospitals.

Objective To explore the treatment of infection after spinal internal fixation.Methods The clinical data of 6 patients with infection after spinal internal fixation in our hospital were analyzed retrospectively.The bacterial culture and drug susceptibility testing were performed to identify the pathogenic bacteria and sensitive antibiotics.Moxifloxacin and/or vancomycin were used empirically for anti-infective therapies first,and then sensitive antibiotics were used according to the results of bacterial culture and drug susceptibility testing.At the same time,imaging examination was performed to determine the infection site and internal fixation,and surgical treatment was decided based on the patients'condition.After operation,the body temperature,inflammatory indexes and drainage of patients were monitored continuously,and the drainage fluid was taken for bacterial culture regularly to evaluate the therapeutic effect.Results The results of bacterial culture in 5 patients were positive and the pathogenic bacteria was staphylococcus aureus,with the susceptibility to vancomycin by susceptibility testing.Among them,1 patient was treated with vancomycin for about 8 weeks because of his advanced age,more basic diseases and high risk of operation;the other 4 patients were received surgery combined with anti-infective treatment with vancomycin for 2 to 4 weeks.One case with negative bacterial culture received surgery combined with anti-infective treatment with imipenem and moxifloxacin.The wound of all patients healed in grade A,the body temperature and inflammatory indexes returned to normal,the low back pain disappeared,and the nerve root symptoms of lower extremities were significantly improved.Conclusion Once the patients with infection after spinal internal fixation are diagnosed,the pathogenic bacterial should be identified as early as possible and sensitive antibiotics should be used.Meanwhile,the internal fixation is removed or re-implanted depending on whether it is infected.

Objective To compare therapeutic efficacy of anticoagulation alone and combining with intervention for treating severe cerebral venous thrombosis(CVT).Methods Data of 65 severe CVT patients were retrospectively analyzed.The patients were divided into anticoagulation group(n=32)or combined group(n=33)according to therapeutic methods.The modified Rankin scale(mRS)score at admission and discharge,the prognosis of patients,vascular recanalization rate as well as incidence of complications during follow-up period were compared between groups.Results No significant difference of mRS scores at admission was found between groups(P＞0.05),while mRS scores of combined group were lower than of anticoagulation group at discharge(P＜0.05).The rate of good prognosis at discharge(84.85%vs.59.38%),6 months after discharge(87.88%vs.65.63%)and 12 months after discharge(93.94%vs.75.00%)in combined group were all higher than those in anticoagulation group(all P＜0.05).The vascular recanalization rate in combined group was higher than that in anticoagulant group(100%vs.75.00%,P＜0.05).At the end of follow-up,no significant difference of complication incidence was found between groups(15.15%vs.18.75%,P＞0.05).Conclusion For patients with severe CVT,anticoagulation combined with interventional therapy could significantly alleviate clinical symptoms and improve prognosis compared with anticoagulation alone.

Objective To observe the value of stent implantation for treating idiopathic intracranial hypertension(IIH)complicated with venous sinus stenosis(VSS).Methods Data of 54 patients with IIH complicated with VSS who underwent stent implantation were retrospectively analyzed.The papillary edema grade,lumbar puncture-opening pressure(LP-OP)and trans-stenotic pressure gradient of venous sinus(ΔP)before and after stent implantation were compared,and the symptom improvement and treatment-related complications during the follow-up period were recorded.Results Totally 60 stents were successfully implanted in 54 patients.Before stent implantation,the papillary edema grade was 3(3,3),LP-OP was(391.39±92.62)mmH2O and the ΔP was 18.50(15.00,25.00)mmHg,which decreased to 1(0,1),(208.80±62.31)mmH2O and 1.25(0.88,2.55)mmHg after stent implantation,respectively,all with significant differences(all P＜0.001).Clinical symptoms improved after stent implantation in all 54 patients.At the end of follow-up,disappearance of headache,papillary edema,visual disorder,abducent nerve paralysis and tinnitus were noticed in 30(30/37,81.08%),38(38/45,84.44%),41(41/45,91.11%),8(8/10,80.00%)and 9 cases(9/10,90.00%),respectively.Treatment-related complications occurred in 4 cases(4/54,7.41%),all improved after intervention.Conclusion Stent implantation was effective and safe for treating IIH complicated with VSS.

OBJECTIVE: To observe the clinical effect of acupuncture for glaucoma-induced optic atrophy. METHODS: A total of 70 patients (89 affected eyes) with glaucoma-induced optic atrophy were randomized into an observation group and a control group, 35 cases in each group. The control group was given basic western medicine treatment. In the observation group, on the basis of the treatment in the control group, acupuncture was applied at main acupoints i.e. Baihui (GV 20), Shangjingming (Extra), Chengqi (ST 1), Fengchi (GB 20), Zusanli (ST 36), combined with supplementary acupoints based on syndrome differentiation, once every three days, twice a week. The treatment for 3 months was required in both groups. Before treatment, after treatment and in follow-up of 6 months after treatment, the best corrected visual acuity (BCVA), intraocular pressure (IOP), indexes of visual field (visual field index [VFI], mean deviation [MD], pattern standard deviation [PSD]) and mean thickness of retinal nerve fiber layer (RNFL) were observed in the two groups. RESULTS: Compared before treatment, BCVA was decreased after treatment and in follow-up in the control group (P<0.05); in the follow-up, BCVA in the observation group was higher than that in the control group (P<0.05). On each time point before and after treatment, there was no significant difference within or between the two groups (P>0.05). After treatment and in the follow-up, the mean thickness of RNFL was larger than the control group (P<0.05). CONCLUSION On the basis of the basic western medicine treatment, acupuncture can delay the decline of vision and the thinning of retinal nerve fiber layer in patients with glaucoma-induced optic atrophy.
Humans ; Retinal Ganglion Cells ; Glaucoma/therapy* ; Optic Atrophy/therapy* ; Intraocular Pressure ; Acupuncture Therapy