Objective To establish a prediction model for the occurrence of non-occupational carbon monoxide poisoning events in Beijing, and to provide scientific basis and theoretical support for the prevention and warning of poisoning events. Methods Based on the monitoring data of non-occupational carbon monoxide poisoning events in Beijing from 2016 to 2024, the seasonal ARIMA model and seasonal index model were established to analyze the data and predict the occurrence of events. Results Between 2016 and 2024, a total of 436 cases of non-occupational carbon monoxide poisoning were reported in Beijing, showing a downward trend. The established SARIMA model and seasonal index model were SARIMA (1,0,0) (1,1,0) 12, Yt = (-0.0339t+5.8863) × St, and the average relative errors were 65.42% and 29.19%, respectively. In terms of months, the SARIMA model had better predictive performance during April and summer (June to August), while the seasonal index model was superior in other months. By combining the two models, the predicted number of events in 2025 was as follows: 3, 2, 2, 3, 1, 5, 2, 7, 1, 1, 1, and 2. Conclusion The seasonal index model has the best prediction effect on the non-occupational carbon monoxide poisoning events in Beijing throughout the year, and the number of summer events predicted by SARIMA model is closer to the actual values. The two models can be combined to predict the trend of non-occupational carbon monoxide poisoning, which provides a scientific basis for the prevention and control of carbon monoxide poisoning in the future.

OBJECTIVE: To compare the clinical efficacy of electroacupuncture (EA) at neuro-arterial stimulation points with topical western medication in treating post-stroke shoulder-hand syndrome (SHS). METHODS: A total of 72 patients with post-stroke SHS were randomly assigned to an observation group (n=36, 2 cases dropped out) and a control group (n=36, 3 cases dropped out). Both groups received standard neurological treatment, comprehensive rehabilitation, and physical therapy. The observation group received EA at neuro-arterial stimulation points, including the ipsilateral stellate ganglion point, vagus nerve trunk and auricular branch (left side), and stimulation points of the radial and ulnar arteries, radial nerve, ulnar nerve, and median nerve, once daily for 4 weeks. The control group was treated with topical diclofenac diethylamine emulgel, and mucopolysaccharide polysulfate cream was added for patients with pronounced early-stage edema, twice a day for 4 weeks. The VAS pain score and hand edema volume were recorded before treatment, at 2 and 4 weeks during treatment, and 2 weeks after treatment completion (follow-up). Musculoskeletal ultrasound was used to measure the thickness of the dorsal hand and middle finger skin on the affected side before and after 4 weeks of treatment. RESULTS: Compared before treatment, the VAS pain scores and edema volume of the affected hand in both groups were decreased at week 2, week 4, and follow-up (P<0.05). At week 4, both groups showed lower VAS pain scores and edema volume than those at week 2 (P<0.05); during follow-up, both VAS pain scores and edema volume were further reduced compared to those at week 4 (P<0.05). At week 2, week 4, and follow-up, the VAS scores and edema volume of the affected hand in the observation group were lower than those in the control group (P<0.05). Compared before treatment, the dorsal hand skin thickness and middle finger skin thickness on the affected side were decreased in both groups after 4 weeks of treatment (P<0.05). Compared with the control group, the observation group showed thinner dorsal hand and middle finger skin thickness after 4 weeks of treatment (P<0.05). CONCLUSION EA at neuro-arterial stimulation points effectively alleviates pain and edema in patients with post-stroke SHS, and demonstrates superior efficacy compared to topical western medication.
Humans ; Male ; Female ; Middle Aged ; Electroacupuncture ; Aged ; Stroke/complications* ; Acupuncture Points ; Adult ; Reflex Sympathetic Dystrophy/physiopathology* ; Treatment Outcome ; Hand

Objective:To observe the effect of electroacupuncture at the Shuigou point on systolic phenotype-related factors and on the JAK1/STAT3 signaling pathway of the middle cerebral artery smooth muscle cells in rats modeling cerebral infarction; and to explore the molecular mechanism of treating cerebral infarction with electroacupuncture.Methods:A total of 108 healthy male Wistar rats were randomly divided into a blank group ( n=6), a sham operation group ( n=6), a model group ( n=48) and an electroacupuncture group ( n=48). The model and electroacupuncture groups were randomly divided into eight phase subgroups at 1h, 3h, 6h, 12h, 24h, 72h, 7d and 14d after the modeling of middle cerebral artery occlusion (MCAO), with six rats in each group. The electroacupuncture groups received electric acupuncture at the Shuigou acupoint for 20min after successful modeling. Neurological Severity scoring (NSS) was used to evaluate the neurological impairment. PLN protein expression in the middle cerebral artery and the expression of JAK1 and STAT3 proteins in the rats′ brain tissue were detected using western blotting. PDGF-AA content in the middle cerebral artery was measured using enzyme-linked immunosorbent assays. Results:Compared with the blank and sham operation groups, the average NSS score and PDGF-AA protein expression had increased significantly in the model and electroacupuncture groups. PLN protein expression had decreased significantly at 12h-14d in the model group, but decreased significantly at 12h-7d in the electroacupuncture group. Compared with those two groups, there was a significant increase in JAK1 protein expression at 1h-72h, 3h-6h, 24h-72h, and14d in the model group. In the electroacupuncture group the corresponding significant increases were over 1h-14d, 1h-6h, 24h, 72h, and 14d. STAT3 protein expression had increased significantly in the model group over 6h-14d and 3h-14d. In the electroacupuncture group those increases were over 6h-14d. Compared to the model group, a significant increase was observed in the expression of PLN protein at 14d, with a significant decrease in NSS at 72h, 7d and 14d. PDGF-AA protein had increased significantly at 6h-7d. For JAK1 protein that was at 12h and 14d, and for STAT3 protein it was over 12h-72h and at 14d.Conclusion:Electroacupuncture at the Shuigou point may regulate the expression of PDGF-AA and the JAK/STAT signaling pathway so as to regulate the normal expression of PLN, and thus smooth muscle contraction to maintain the normal functioning of the middle cerebral artery. This may be one of the molecular mechanisms by which electroacupuncture at the Shuohui point improves nerve functioning in treating cerebral infarction.

Objective:To observe the effects of adipose-derived stem cells(ADSC)combined with acellular scaffold(AS)on the ultrastructure of dorsal root ganglion and the protein and mRNA expression levels of ciliary neurotrophic factor(CNTF),Janus kinase 2(JAK2),phosphorylated JAK2(p-JAK2),signal transducer and activator of transcription 3(STAT3)and phosphorylated STAT3(p-STAT3)in the rats with sciatic nerve injury(SNI),and to clarify the protective effect of ADSC combined with AS on dorsal root ganglion in the SNI rats and its possible mechanism.Methods:The rat ADSCs were isolated and cultured and their multidirectional differentiation potential was detected.The AS of rats was prepared,and ADSCs were injected into the AS to construct tissue-engineered nerve.A total of 36 rats were randomly divided into control group,model group,AS group,and ADSC+AS group.The rats in control group were routinely fed,and the rats in other groups were used to establish the SNI models by resecting 10 mm of right sciatic nerve.The rats in model group received no further treatment,while the rats in AS group and ADSC+AS group were bridged with AS and the constructed tissue-engineered nerve at the two ends of the injured nerve,respectively.At 6 weeks after surgery,transmission electron microscope was used to observe the ultrastructure of dorsal root ganglion of the rats in various groups;immunofluorescence method was used to detect the protein expression levels of CNTF,p-JAK2,and p-STAT3 in dorsal root ganglion of the rats;real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the mRNA expression levels of CNTF,JAK2,and STAT3 in dorsal root ganglion of the rats in various groups.Results:After 7 d of primary ADSC culture,a large number of large and long spindle-shaped cells were observed under the inverted microscope,arranged in clusters or whirlpools;red lipid droplets were observed with oil red O staining under microscope,and calcified nodules were observed with Alizarin red staining under microscope,indicating that the isolated and cultured cells had multidirectional differentiation ability.Compared with normal nerve tissue,the level of DNA in AS of rats was significantly decreased(P<0.05).Compared with control group,the nuclear membrane of dorsal root ganglion cells in model group was uneven and serrated,the number of organelles in the cytoplasm was decreased,mitochondria were swollen with broken or missing cristae and unclear structure;the CNTF protein and mRNA expression levels were significantly decreased(P<0.01),the p-JAK2 and p-STAT3 protein expression levels were significantly increased(P<0.01),and the JAK2 and STAT3 mRNA expression levels were significantly increased(P<0.01).Compared with model group,the serrated change of nuclear membrane of the dorsal root ganglion cells in AS group was significantly alleviated,the number of organelles in the cytoplasm was increased,and mitochondrial swelling was reduced;in ADSC+AS group,the nuclear membrane of dorsal root ganglion cells tended to be intact,the number of organelles was increased,and mitochondrial swelling and vacuolization were significantly reduced;the CNTF protein and mRNA expression levels in the dorsal root ganglion in AS group and ADSC+AS group were significantly increased(P<0.01),the p-JAK2 and p-STAT3 protein expression levels were significantly decreased(P<0.01),and the JAK2 and STAT3 mRNA expression levels were significantly decreased(P<0.01).Compared with AS group,the CNTF protein and mRNA expression levels in ADSC+AS group were significantly increased(P<0.05 or P<0.01),the p-JAK2 and p-STAT3 protein expression levels were significantly decreased(P<0.01),and the JAK2 and STAT3 mRNA expression levels were significantly decreased(P<0.01).Conclusion:The application of ADSC combined with AS can improve the ultrastructure of dorsal root ganglion in the SNI rats,and the mechanism may be related to the increased CNTF expression and decreased activation of the JAK2/STAT3 signaling pathway in the dorsal root ganglion by ADSC combined with AS application.

Objective To investigate the consistency and diagnostic efficacy of 1.5T and 3.0T MRI in the kidney clear cell likeli-hood score(ccLS)v2.0.Methods A retrospective collection was conducted on the data of 176 pathologically confirmed small renal mass(SRM).Two radiologists independently scored the MRI images using the ccLS v2.0.The Kappa test was used to assess inter-observer consistency,and receiver operating characteristic(ROC)curves were plotted to analyze the diagnostic efficacy.The area under the curve(AUC),sensitivity,specificity,positive predictive value(PPV),and negative predictive value(NP V)were calculated.Results The inter-observer consistency for ccLS v2.0 score was good for 1.5T MRI and excellent for 3.0T MRI(Kappa values were 0.754 and 0.836,respectively).On 1.5T MRI examination,a ccLS≥4 points was identified as the optimal threshold,with AUC of 0.935 and 0.923 for the two radiologists,sensitivities of 92.45％and 88.68％,and specificities of 88.00％and 92.00％,respec-tively.For 3.0T MRI examination,using the same threshold,the AUC were 0.933 and 0.901,with sensitivities of 91.43％and 90.00％,and specificities of 78.57％and 78.57％for both radiologists.Conclusion The ccLS v2.0 demonstrates good consistency across high and low field intensity MRI,and a threshold of ccLS≥4 pionts provides high diagnostic efficacy for clear cell renal cell carcinoma(ccRCC).

Objective To investigate the value of predicting microsatellite instability(MSI)status in endometrial cancer based on whole-tumor apparent diffusion coefficient(ADC)histogram.Methods The data of 131 endometrial cancer patients who underwent preoperative MRI examination and were confirmed by pathology were retrospectively analyzed.According to the pathological immu-nohistochemical results,they were divided into microsatellite stability(MSS)group(103 cases)and MSI group(28 cases).The whole-tumor volume of interest(VOI)was outlined using ITK-SNAP software,and ADC histogram analysis was performed using uAI Research Portal software.The t-test or Mann-Whitney U-test were used to compare the differences between the two groups,and multifactorial logistic regression analysis was used to screen independent predictors for the above parameters with differences.The area under the curve(AUC),sensitivity and specificity were calculated using the receiver operating characteristic(ROC)curve.Results The ADC histogram parameters that were statistically significant between groups were ADC10th,ADC90th,ADCmaximum,ADCmedian,ADCmean,ADCrange,ADCinterquartile range,ADCuniformity,ADCvariance,ADCenergy,ADCentropy,ADCtotal energy,ADCroot mean square,ADCmean absolute deviation,ADCrobust mean absolute deviation,all the above parameters were significantly smaller in the MSI group than in the MSS group.Further multifactorial logistic regression analysis results showed that ADCmedian[odds ratio(OR)=1.019,P=0.020]and ADCroot mean square(OR=0.977,P=0.005)were independent predictors of the MSI status in endometrial cancer.The results of ROC curve showed that the AUC of ADCmedian and ADCroot mean square for predicting MSI status were 0.699 and 0.731,respectively,and the AUC of combining the two parameters to predict MSI status was 0.760,with a sensitivity of 57.14%and a specificity of 86.41%.Conclusion The parameters of ADCmedian and ADCroot mean square based on whole-tumor ADC histogram can be used to predict the MSI status of endometrial cancer,and the combined use of these two parameters helps to improve the efficacy of predicting MSI.

Objective To investigate the consistency and diagnostic efficacy of 1.5T and 3.0T MRI in the kidney clear cell likeli-hood score(ccLS)v2.0.Methods A retrospective collection was conducted on the data of 176 pathologically confirmed small renal mass(SRM).Two radiologists independently scored the MRI images using the ccLS v2.0.The Kappa test was used to assess inter-observer consistency,and receiver operating characteristic(ROC)curves were plotted to analyze the diagnostic efficacy.The area under the curve(AUC),sensitivity,specificity,positive predictive value(PPV),and negative predictive value(NP V)were calculated.Results The inter-observer consistency for ccLS v2.0 score was good for 1.5T MRI and excellent for 3.0T MRI(Kappa values were 0.754 and 0.836,respectively).On 1.5T MRI examination,a ccLS≥4 points was identified as the optimal threshold,with AUC of 0.935 and 0.923 for the two radiologists,sensitivities of 92.45％and 88.68％,and specificities of 88.00％and 92.00％,respec-tively.For 3.0T MRI examination,using the same threshold,the AUC were 0.933 and 0.901,with sensitivities of 91.43％and 90.00％,and specificities of 78.57％and 78.57％for both radiologists.Conclusion The ccLS v2.0 demonstrates good consistency across high and low field intensity MRI,and a threshold of ccLS≥4 pionts provides high diagnostic efficacy for clear cell renal cell carcinoma(ccRCC).

Objective To investigate the value of predicting microsatellite instability(MSI)status in endometrial cancer based on whole-tumor apparent diffusion coefficient(ADC)histogram.Methods The data of 131 endometrial cancer patients who underwent preoperative MRI examination and were confirmed by pathology were retrospectively analyzed.According to the pathological immu-nohistochemical results,they were divided into microsatellite stability(MSS)group(103 cases)and MSI group(28 cases).The whole-tumor volume of interest(VOI)was outlined using ITK-SNAP software,and ADC histogram analysis was performed using uAI Research Portal software.The t-test or Mann-Whitney U-test were used to compare the differences between the two groups,and multifactorial logistic regression analysis was used to screen independent predictors for the above parameters with differences.The area under the curve(AUC),sensitivity and specificity were calculated using the receiver operating characteristic(ROC)curve.Results The ADC histogram parameters that were statistically significant between groups were ADC10th,ADC90th,ADCmaximum,ADCmedian,ADCmean,ADCrange,ADCinterquartile range,ADCuniformity,ADCvariance,ADCenergy,ADCentropy,ADCtotal energy,ADCroot mean square,ADCmean absolute deviation,ADCrobust mean absolute deviation,all the above parameters were significantly smaller in the MSI group than in the MSS group.Further multifactorial logistic regression analysis results showed that ADCmedian[odds ratio(OR)=1.019,P=0.020]and ADCroot mean square(OR=0.977,P=0.005)were independent predictors of the MSI status in endometrial cancer.The results of ROC curve showed that the AUC of ADCmedian and ADCroot mean square for predicting MSI status were 0.699 and 0.731,respectively,and the AUC of combining the two parameters to predict MSI status was 0.760,with a sensitivity of 57.14%and a specificity of 86.41%.Conclusion The parameters of ADCmedian and ADCroot mean square based on whole-tumor ADC histogram can be used to predict the MSI status of endometrial cancer,and the combined use of these two parameters helps to improve the efficacy of predicting MSI.

Objective:To observe the effect of electroacupuncture at the Shuigou point on systolic phenotype-related factors and on the JAK1/STAT3 signaling pathway of the middle cerebral artery smooth muscle cells in rats modeling cerebral infarction; and to explore the molecular mechanism of treating cerebral infarction with electroacupuncture.Methods:A total of 108 healthy male Wistar rats were randomly divided into a blank group ( n=6), a sham operation group ( n=6), a model group ( n=48) and an electroacupuncture group ( n=48). The model and electroacupuncture groups were randomly divided into eight phase subgroups at 1h, 3h, 6h, 12h, 24h, 72h, 7d and 14d after the modeling of middle cerebral artery occlusion (MCAO), with six rats in each group. The electroacupuncture groups received electric acupuncture at the Shuigou acupoint for 20min after successful modeling. Neurological Severity scoring (NSS) was used to evaluate the neurological impairment. PLN protein expression in the middle cerebral artery and the expression of JAK1 and STAT3 proteins in the rats′ brain tissue were detected using western blotting. PDGF-AA content in the middle cerebral artery was measured using enzyme-linked immunosorbent assays. Results:Compared with the blank and sham operation groups, the average NSS score and PDGF-AA protein expression had increased significantly in the model and electroacupuncture groups. PLN protein expression had decreased significantly at 12h-14d in the model group, but decreased significantly at 12h-7d in the electroacupuncture group. Compared with those two groups, there was a significant increase in JAK1 protein expression at 1h-72h, 3h-6h, 24h-72h, and14d in the model group. In the electroacupuncture group the corresponding significant increases were over 1h-14d, 1h-6h, 24h, 72h, and 14d. STAT3 protein expression had increased significantly in the model group over 6h-14d and 3h-14d. In the electroacupuncture group those increases were over 6h-14d. Compared to the model group, a significant increase was observed in the expression of PLN protein at 14d, with a significant decrease in NSS at 72h, 7d and 14d. PDGF-AA protein had increased significantly at 6h-7d. For JAK1 protein that was at 12h and 14d, and for STAT3 protein it was over 12h-72h and at 14d.Conclusion:Electroacupuncture at the Shuigou point may regulate the expression of PDGF-AA and the JAK/STAT signaling pathway so as to regulate the normal expression of PLN, and thus smooth muscle contraction to maintain the normal functioning of the middle cerebral artery. This may be one of the molecular mechanisms by which electroacupuncture at the Shuohui point improves nerve functioning in treating cerebral infarction.

Objective To explore the comparative study of constructing prediction models for muscle invasive of bladder cancer based on different machine learning algorithms combined with MRI radiomic.Methods A total of 187 bladder cancer patients who underwent MRI examination and were confirmed by pathology were retrospectively selected.Patients were randomly divided into a training set and a test set in a 7∶3 ratio.The patients were divided into muscle invasive bladder cancer(MIBC)group and non-muscle invasive bladder cancer(NMIBC)group according to the surgical pathology results.Tumor volume of interest(VOI)was outlined on the images of T2 WI,diffusion weighted imaging(DWI),and apparent diffusion coefficient(ADC),and the radiomic features were extracted by A.K software,and dimensionality reduction was performed using the maximum relevance minimum redundancy(mRMR)algorithm combined with least absolute shrinkage and selection operator(LASSO).Six machine learning algorithms,including K-nearest neighbor(KNN),decision tree(DT),support vector machine(SVM),logistic regression(LR),random forest(RF),and explainable boosting machine(EBM)were used to construct the radiomic model and calculate the corresponding area under the curve(AUC),accuracy,sensitivity,and specificity,respectively.Results Six machine learning algorithms,including KNN,DT,SVM,LR,RF,and EBM were used to construct the radiomic model,and the AUC values for predicting MIBC in the training set were 0.863,0.838,0.853,0.866,0.977,0.997,and in the test set were 0.748,0.833,0.860,0.868,0.870,0.900.Among them,the MRI radiomic model constructed based on EBM had the highest predictive efficacy for MIBC,with AUC values,accuracy,sensitivity and specificity of 0.997,0.977,0.957 and 0.981 in the training set,and 0.900,0.877,0.800,and 0.894 in the test set,respectively.Conclusion Multiple machine learning algorithms combined with MRI radiomic to construct models have good predictive efficacy for MIBC,and the model constructed based on EBM shows the highest predictive value.