ObjectiveTo investigate the distribution and characteristics of traditional Chinese medicine （TCM） syndromes in patients with colorectal cancer and metabolic dysfunction-associated fatty liver disease （CRC-MAFLD）， to explore the correlation between influencing factors and syndrome distribution， and to provide a reference for clinical syndrome differentiation. MethodsA total of 319 patients who were admitted to Shanxi Provincial Institute of Traditional Chinese Medicine and The Affiliated Hospital of Shanxi University of Chinese Medicine from January 2021 to December 2025 and were diagnosed with CRC-MAFLD based on pathology and radiological examination were enrolled as subjects， and TCM syndrome differentiation was performed for all subjects. A one-way analysis of variance or the Kruskal-Wallis H test was used for comparison of continuous data between multiple groups， and the chi-square test or the Fisher’s exact test was used for comparison of categorical data between multiple groups. The indicators with statistical significance in the univariate analysis were incorporated into the unordered multinomial Logistic regression model， and the syndrome of liver depression and spleen deficiency was set as the reference group to identify the independent influencing factors for each TCM syndrome. ResultsThe main clinical symptoms of CRC-MAFLD included fatigue （78.06%）， abdominal distension （64.26%）， poor appetite （61.13%）， loose stool （57.05%）， and costal pain （52.04%）. The syndrome of liver depression and spleen deficiency showed the highest distribution frequency， followed by intermingled phlegm and blood stasis， internal retention of dampness turbidity， damp-heat accumulation， deficiency of liver and kidney， and deficiency of spleen and kidney. Comparison between groups with different TCM syndromes showed significant differences in the distribution of body mass index （χ²=42.216， P<0.001）， the clinical stage of colorectal cancer （χ²=11.666， P=0.040）， liver metastasis （χ²=19.279， P=0.002）， degree of hepatic steatosis （χ²=71.085， P<0.001）， diabetes （χ²=12.486， P=0.029）， chemotherapy （χ²=21.920， P<0.001）， fasting plasma glucose （FPG） （F=10.367， P<0.001）， glycosylated hemoglobin （HbA1c） （F=3.696， P=0.003）， albumin （Alb） （F=3.302， P=0.006）， alkaline phosphatase （ALP） （H=34.350， P<0.001）， gamma-glutamyl transferase （GGT） （H=41.679， P<0.001）， and triglyceride （TG） （H=28.826， P<0.001）. An unordered multinomial Logistic regression model was constructed with the syndrome of liver depression and spleen deficiency as the reference， and the results showed that overweight/obesity was a common independent risk factor for intermingled phlegm and blood stasis （odds ratio ［OR］=4.468， P=0.002）， internal retention of dampness turbidity （OR=2.944， P=0.024）， and damp-heat accumulation （OR=5.651， P=0.001）； clinical stage Ⅳ was an independent risk factor for deficiency of liver and kidney （OR=6.746， P=0.003） and deficiency of spleen and kidney （OR=10.074， P=0.001）； presence of liver metastasis was an independent risk factor for intermingled phlegm and blood stasis （OR=5.145， P=0.001）； severe fatty liver disease was an independent risk factor for intermingled phlegm and blood stasis （OR=5.201， P=0.007） and internal retention of dampness turbidity （OR=7.412， P=0.001）， and moderate fatty liver disease was an independent risk factor for intermingled phlegm and blood stasis （OR=2.643， P=0.045）， internal retention of dampness turbidity （OR=3.182， P=0.029）， and damp-heat accumulation （OR=3.073， P=0.036）； diabetes was an independent risk factor for internal retention of dampness turbidity （OR=5.133， P=0.003） and damp-heat accumulation （OR=3.716， P=0.031）. As for continuous variables， elevated FPG was an independent risk factor for internal retention of dampness turbidity （OR=2.375， P=0.003） and damp-heat accumulation （OR=2.701， P=0.005）； elevated HbA1c was an independent risk factor for intermingled phlegm and blood stasis （OR=2.029， P=0.032） and deficiency of liver and kidney （OR=3.308， P=0.010）； elevated ALP was an independent risk factor for damp-heat accumulation （OR=1.053， P=0.019）； elevated GGT was an independent risk factor for intermingled phlegm and blood stasis （OR=1.029， P=0.026） and damp-heat accumulation （OR=1.030， P=0.047）； elevated TG was an independent risk factor for intermingled phlegm and blood stasis （OR=2.931， P=0.006） and internal retention of dampness turbidity （OR=2.449， P=0.019）； elevated Alb was a protective factor against deficiency of spleen and kidney （OR=0.756， P=0.005）. ConclusionBody mass index， the clinical stage of colorectal cancer， liver metastasis， degree of hepatic steatosis， diabetes， chemotherapy， FPG， HbA1c， Alb， ALP， GGT， and TG are the main influencing factors for TCM syndromes in CRC-MAFLD.

Objective:To investigate the early clinical outcomes of anterior cervical discectomy and fusion (ACDF) in the treatment of two-segment cervical spondylotic myelopathy (CSM) using a cervical soft endoscopic minimally invasive system.Methods:A retrospective follow-up study was conducted on the medical records of 23 patients with two-segment cervical myelopathy who underwent ACDF using a soft endoscopic cervical spine minimally invasive system at the Third Affiliated Hospital of Southern Medical University between October 2022 and December 2023. The cohort included 15 males and 8 females, aged 37-79 years (58.52±11.77 years). The affected cervical segments included: C 3, 4 and C 4, 5 in 2 cases; C 3, 4 and C 5, 6 in 3 cases; C 4, 5 and C 5, 6 in 10 cases; C 5, 6 and C 6, 7 in 7 cases; and C 4, 5 and C 6, 7 in 1 case. Clinical outcomes were evaluated based on the Japanese Orthopaedic Association (JOA) scores and visual analog scale (VAS) for neck and shoulder pain, assessed preoperatively and at 1 week, 1 month, and 3 months postoperatively. Additional data recorded included incision length, intraoperative blood loss, operative time, postoperative complications, and the presence of prevertebral soft tissue edema. The improvement rate of JOA scores at the final follow-up was also calculated. Results:All patients successfully underwent surgery and completed follow-up, with follow-up durations ranging from 3 to 6 months (4.01±0.98 months). The mean operative time was 80.09±22.66 min (range: 53-127 min), and the mean incision length was 3.25±0.32 cm (range: 3-4 cm). Estimated blood loss ranged from 10 to 100 ml, with a mean of 34.78±24.1 ml. Postoperative drainage ranged from 0 to 80 ml (mean: 23.13±26.1 ml), and postoperative hospitalization durations ranged from 4 to 12 days (6.83±2.59 days). JOA scores improved significantly from a preoperative median of 9.00(8.00, 10.00) to 12.00(11.00, 14.00) at 1 week, 13.00(12.00, 14.00) at 1 month, and 15.00(15.00, 16.00) at 3 months postoperatively (χ 2=220.492, P<0.001). VAS scores for neck and shoulder pain also improved significantly from a preoperative median of 5.00(4.00, 6.00) to 3.00(2.00, 3.00) at 1 week, 2.00(2.00, 3.00) at 1 month, and 2.00(1.00, 2.00) at 3 months postoperatively (χ 2=170.869, P<0.001). No postoperative complications such as dysphagia, hoarseness, nerve injury, cerebrospinal fluid leakage, or intraspinal hematoma were observed. Imaging revealed no significant prevertebral soft tissue edema. At the final follow-up, the improvement rate of JOA scores resulted in 14 cases rated as excellent and 9 as good. Conclusions:ACDF using a cervical soft endoscopic minimally invasive system demonstrates satisfactory clinical outcomes for the treatment of two-segment CSM. This technique reduces the incidence of common complications associated with both open and traditional endoscopic surgeries.

Objective To discuss the application of 3D printing technology in the adjuvant treatment of complex Stanford type B aortic dissection(SBAD)and abdominal aortic aneurysm.Methods The clinical data of 64 patients with complex SBAD and 64 patients with abdominal aortic aneurysm,who were admitted to the Mianyang No.404 Hospital of China from January 2022 to January 2024,were retrospectively analyzed.Of the 64 patients with complex SBAD,33 received preoperative 3D printing adjuvant treatment(observation group Ⅰ)and 31 received preoperative routine examination(control group Ⅰ).Of the 64 patients with abdominal aortic aneurysm,32 received preoperative 3D printing adjuvant treatment(observation group Ⅱ)and 32 received preoperative routine examination(control group Ⅱ).The changes in left-right diameter(LR)and anterior-posterior diameter(AP)of anatomical structure in observation group Ⅰ and observation group Ⅱ were analyzed.The perioperative situations were compared between observation group Ⅰ and control group Ⅰ,as well as between observation groupⅡ and control group Ⅱ.Results In patients with complex SBAD,LR of descending aorta diaphragm in S2(STL model)was significantly higher than that in S1(CTA image)and S3(plastic model,P＜0.05),and AP of descending aorta diaphragm in S2 was higher than that in S3(P＜0.05).LR of brachiocephalic trunk in S3 was significantly lower than that in S1 and S2(P＜0.05),AP of brachiocephalic trunk in S3 stage was significantly higher than that in S1 and S2(P＜0.05),and AP of brachiocephalic trunk in S2 was higher than that in S1(P＜0.05).LR of left common carotid artery in S3 was significantly higher than that in S1 and S2(P＜0.05),LR of left common carotid artery in S2 was higher than that in S1(P＜0.05),and AP of left common carotid artery in S3 was lower than that in S1(P＜0.05).LR and AP of left subclavian artery in S3 were significantly higher than those in S1 and S2(P＜0.05).In patients with abdominal aortic aneurysm,LR and AP of tumor neck in S3 were significantly higher than those in S1(P＜0.05),and AP of aneurysm neck in S3 was significantly higher than that in S2(P＜0.05).LR and AP of aneurysm in S3 and S2 were significantly higher than those in S1(P＜0.05),and LR and AP of aneurysm in S3 were significantly higher than those in S2(P＜0.05).LR of abdominal aortic bifurcation in S3 and S2 was significantly higher than that in S1(P＜0.05),LR of abdominal aortic bifurcation in S3 was significantly higher than that in S2(P＜0.05),and AP of abdominal aortic bifurcation in S3 was significantly lower than that in S1(P＜0.05).AP of left common iliac artery in S3 was significantly lower than that in S1(P＜0.05).In the observation group Ⅰ,the operation time,endovascular operation time and length of hospital stay were significantly shorter than those in the control group Ⅰ(P＜0.05),and the intraoperative blood loss and used dosage of contrast agent were lower than those in the control group Ⅰ(P＜0.05).In observation group Ⅱ,the operation time,endovascular operation time and length of hospital stay were significantly shorter than those in the control group Ⅱ(P＜0.05),and the intraoperative blood loss and used dosage of contrast agent were lower than those in the control group Ⅱ(P＜0.05).In patients with complex SBAD or abdominal aortic aneurysm,there was no internal leakage or stent displacement at 6 months after surgery.Conclusion Adjuvant treatment with 3D printing technology is helpful for improving anatomical structure measurement of lesion sites in patients with complex SBAD and abdominal aortic aneurysm.Preoperative 3D plastic model preview surgery is helpful for shortening the operation time and length of hospital stay and reducing the used dosage of contrast agent without affecting surgical treatment effect.

Objective This study aimed to explore the feasibility of using a long short-term memory(LSTM)model based on empirical mode decomposition(EMD)and singular spectrum analysis(SSA)to predict the incidence of pulmonary tuberculosis in Shanxi Province.The goal was to provide a reliable prediction method to support the prevention and control of tuberculosis epidemics in the region.Methods Collecting and collating monthly data on the reported incidence of tuberculosis nationwide from January 2007 to December 2018.The LSTM、EMD-LSTM、SSA-LSTM models were established using the reported monthly incidence of tuberculosis reported in Shanxi Province from January 2007 to December 2017 as the training set and using the reported monthly incidence of tuberculosis from January to December 2018 as the test set.Mean squared error(MSE),mean absolute error(MAE),root mean squared error(RMSE),and mean absolute percentage error(MAPE)were used to evaluate the prediction effect of the models to determine the best model.Results The MSE,MAE,RMSE and MAPE of the EMD-LSTM model in predicting the incidence trend of pulmonary tuberculosis in the next year were 0.036,0.140,0.189 and 0.045,respectively.Compared with the LSTM model,the prediction performance increased by 66.36%,38.33%,42.38%and 41.56%,respectively.Compared with the SSA-LSTM model,it improved by 28.00%,9.68%,15.25%and 16.67%,respectively.Conclusion Compared with the single LSTM model,the fitting and prediction performance of EMD-LSTM and SSA-LSTM models are improved effectively.However,the prediction effect of EMD-LSTM model is better than that of SSA-LSTM model.Therefore,the EMD-LSTM model is more suitable for predicting the incidence trend of pulmonary tuberculosis in Shanxi Province,and can provide a theoretical basis for tuberculosis prevention and control policies.

Objective To investigate the serum amino acid levels in patients with acute schizophrenia(SCZ)and their predictive effect on the improvement of cognitive function after treatment,so as to provide new insights into the clinical intervention of cognitive impairment in SCZ patients.Methods A total of 66 patients with acute SCZ were enrolled(case group-baseline period).Among them,36 cases completed the follow-up after 3 months of standardized treatment(case group-follow-up period);52 healthy controls(HCs)were included.The MATRICS Consensus Cognitive Battery(MCCB)was used to assess the cognitive function of all the participants.Liquid chromatography-tandem mass spectrometry(LC-MS)was employed to detect the concentrations of 18 amino acids in fasting serum of the case group-baseline period and the control group.Independent samples t-test was used to compare serum amino acid levels and cognitive function between the case group-baseline period and the control group.Paired t-test was used to compare the differences in cognitive function between the baseline period and the follow-up period of the case group.Spearman correlation analysis and multivariate linear regression model were used to investigate the correlation between serum amino acid levels at baseline in the case group and the improvement of cognitive function after 3 months of treatment.Results Compared with the control group,the cognitive function of SCZ patients in multiple dimensions at baseline was significantly reduced(P＜0.05).After treatment,the scores of Trail Making Test(TMT),Brief Assessment of Cognition in Schizophrenia:Symbol Coding(BACS),Wechsler Memory Scale-Ⅲ(WMS),and Brief Visuospatial Memory Test-Revised(BVMT)in patients were significantly improved(all P＜0.05).In addition,the levels of proline,methionine,histidine,phenylalanine,arginine,tyrosine,aspartic acid,tryptophan,lysine,and glutamic acid were significantly lower in the case group at baseline than in the control group(all P＜0.05).Among them,the baseline tyrosine level had a significant predictive value for the improvement of TMT(R2=0.136,P=0.029),Neuropsychological Assessment Battery(NAB)(R2=0.339,P＜0.001),and Mayer-Salovey-Caruso Emotional Intelligence Test(MSCEIT)test(R2=0.165,P=0.015).The baseline arginine level had a significant predictive value for the improvement rate of Fluency test(R2=0.113,P=0.048).Conclusion There is a decrease in various amino acid levels in patients with SCZ,and some amino acids can effectively predict the improvement of cognitive function after treatment.

Objective To explore the prediction performance of the autoregressive summation moving average(ARIMA)model based on empirical mode decomposition(EMD)for the prevalence trend of tuberculosis,to provide method support for the prediction of tuberculosis,and to provide ideas for the prediction of other infectious diseases.Methods The monthly data of pulmonary tuberculosis incidence in Shanxi Province from January 2008 to December 2018 were collected and sorted.The last three months,six months,nine months and one year of the data were used as the test set to evaluate the model prediction effect,and the training set was the remaining data of the corresponding sequence.The EMD-ARIMA model was constructed to predict and compared with the single ARIMA model.Results The predicted errors of EMD-ARIMA model for the next three months,six months,nine months and one year were all smaller than the errors of ARIMA model.Conclusion Compared with single ARIMA model,EMD-ARIMA model can improve the prediction accuracy and predict the incidence of pulmonary tuberculosis,and provide effective theoretical reference for disease control and prevention.

Objective This study aimed to explore the feasibility of using a long short-term memory(LSTM)model based on empirical mode decomposition(EMD)and singular spectrum analysis(SSA)to predict the incidence of pulmonary tuberculosis in Shanxi Province.The goal was to provide a reliable prediction method to support the prevention and control of tuberculosis epidemics in the region.Methods Collecting and collating monthly data on the reported incidence of tuberculosis nationwide from January 2007 to December 2018.The LSTM、EMD-LSTM、SSA-LSTM models were established using the reported monthly incidence of tuberculosis reported in Shanxi Province from January 2007 to December 2017 as the training set and using the reported monthly incidence of tuberculosis from January to December 2018 as the test set.Mean squared error(MSE),mean absolute error(MAE),root mean squared error(RMSE),and mean absolute percentage error(MAPE)were used to evaluate the prediction effect of the models to determine the best model.Results The MSE,MAE,RMSE and MAPE of the EMD-LSTM model in predicting the incidence trend of pulmonary tuberculosis in the next year were 0.036,0.140,0.189 and 0.045,respectively.Compared with the LSTM model,the prediction performance increased by 66.36%,38.33%,42.38%and 41.56%,respectively.Compared with the SSA-LSTM model,it improved by 28.00%,9.68%,15.25%and 16.67%,respectively.Conclusion Compared with the single LSTM model,the fitting and prediction performance of EMD-LSTM and SSA-LSTM models are improved effectively.However,the prediction effect of EMD-LSTM model is better than that of SSA-LSTM model.Therefore,the EMD-LSTM model is more suitable for predicting the incidence trend of pulmonary tuberculosis in Shanxi Province,and can provide a theoretical basis for tuberculosis prevention and control policies.

Objective:To investigate the early clinical outcomes of anterior cervical discectomy and fusion (ACDF) in the treatment of two-segment cervical spondylotic myelopathy (CSM) using a cervical soft endoscopic minimally invasive system.Methods:A retrospective follow-up study was conducted on the medical records of 23 patients with two-segment cervical myelopathy who underwent ACDF using a soft endoscopic cervical spine minimally invasive system at the Third Affiliated Hospital of Southern Medical University between October 2022 and December 2023. The cohort included 15 males and 8 females, aged 37-79 years (58.52±11.77 years). The affected cervical segments included: C 3, 4 and C 4, 5 in 2 cases; C 3, 4 and C 5, 6 in 3 cases; C 4, 5 and C 5, 6 in 10 cases; C 5, 6 and C 6, 7 in 7 cases; and C 4, 5 and C 6, 7 in 1 case. Clinical outcomes were evaluated based on the Japanese Orthopaedic Association (JOA) scores and visual analog scale (VAS) for neck and shoulder pain, assessed preoperatively and at 1 week, 1 month, and 3 months postoperatively. Additional data recorded included incision length, intraoperative blood loss, operative time, postoperative complications, and the presence of prevertebral soft tissue edema. The improvement rate of JOA scores at the final follow-up was also calculated. Results:All patients successfully underwent surgery and completed follow-up, with follow-up durations ranging from 3 to 6 months (4.01±0.98 months). The mean operative time was 80.09±22.66 min (range: 53-127 min), and the mean incision length was 3.25±0.32 cm (range: 3-4 cm). Estimated blood loss ranged from 10 to 100 ml, with a mean of 34.78±24.1 ml. Postoperative drainage ranged from 0 to 80 ml (mean: 23.13±26.1 ml), and postoperative hospitalization durations ranged from 4 to 12 days (6.83±2.59 days). JOA scores improved significantly from a preoperative median of 9.00(8.00, 10.00) to 12.00(11.00, 14.00) at 1 week, 13.00(12.00, 14.00) at 1 month, and 15.00(15.00, 16.00) at 3 months postoperatively (χ 2=220.492, P<0.001). VAS scores for neck and shoulder pain also improved significantly from a preoperative median of 5.00(4.00, 6.00) to 3.00(2.00, 3.00) at 1 week, 2.00(2.00, 3.00) at 1 month, and 2.00(1.00, 2.00) at 3 months postoperatively (χ 2=170.869, P<0.001). No postoperative complications such as dysphagia, hoarseness, nerve injury, cerebrospinal fluid leakage, or intraspinal hematoma were observed. Imaging revealed no significant prevertebral soft tissue edema. At the final follow-up, the improvement rate of JOA scores resulted in 14 cases rated as excellent and 9 as good. Conclusions:ACDF using a cervical soft endoscopic minimally invasive system demonstrates satisfactory clinical outcomes for the treatment of two-segment CSM. This technique reduces the incidence of common complications associated with both open and traditional endoscopic surgeries.

Objective To explore the prediction performance of the autoregressive summation moving average(ARIMA)model based on empirical mode decomposition(EMD)for the prevalence trend of tuberculosis,to provide method support for the prediction of tuberculosis,and to provide ideas for the prediction of other infectious diseases.Methods The monthly data of pulmonary tuberculosis incidence in Shanxi Province from January 2008 to December 2018 were collected and sorted.The last three months,six months,nine months and one year of the data were used as the test set to evaluate the model prediction effect,and the training set was the remaining data of the corresponding sequence.The EMD-ARIMA model was constructed to predict and compared with the single ARIMA model.Results The predicted errors of EMD-ARIMA model for the next three months,six months,nine months and one year were all smaller than the errors of ARIMA model.Conclusion Compared with single ARIMA model,EMD-ARIMA model can improve the prediction accuracy and predict the incidence of pulmonary tuberculosis,and provide effective theoretical reference for disease control and prevention.

Objective To investigate the serum amino acid levels in patients with acute schizophrenia(SCZ)and their predictive effect on the improvement of cognitive function after treatment,so as to provide new insights into the clinical intervention of cognitive impairment in SCZ patients.Methods A total of 66 patients with acute SCZ were enrolled(case group-baseline period).Among them,36 cases completed the follow-up after 3 months of standardized treatment(case group-follow-up period);52 healthy controls(HCs)were included.The MATRICS Consensus Cognitive Battery(MCCB)was used to assess the cognitive function of all the participants.Liquid chromatography-tandem mass spectrometry(LC-MS)was employed to detect the concentrations of 18 amino acids in fasting serum of the case group-baseline period and the control group.Independent samples t-test was used to compare serum amino acid levels and cognitive function between the case group-baseline period and the control group.Paired t-test was used to compare the differences in cognitive function between the baseline period and the follow-up period of the case group.Spearman correlation analysis and multivariate linear regression model were used to investigate the correlation between serum amino acid levels at baseline in the case group and the improvement of cognitive function after 3 months of treatment.Results Compared with the control group,the cognitive function of SCZ patients in multiple dimensions at baseline was significantly reduced(P＜0.05).After treatment,the scores of Trail Making Test(TMT),Brief Assessment of Cognition in Schizophrenia:Symbol Coding(BACS),Wechsler Memory Scale-Ⅲ(WMS),and Brief Visuospatial Memory Test-Revised(BVMT)in patients were significantly improved(all P＜0.05).In addition,the levels of proline,methionine,histidine,phenylalanine,arginine,tyrosine,aspartic acid,tryptophan,lysine,and glutamic acid were significantly lower in the case group at baseline than in the control group(all P＜0.05).Among them,the baseline tyrosine level had a significant predictive value for the improvement of TMT(R2=0.136,P=0.029),Neuropsychological Assessment Battery(NAB)(R2=0.339,P＜0.001),and Mayer-Salovey-Caruso Emotional Intelligence Test(MSCEIT)test(R2=0.165,P=0.015).The baseline arginine level had a significant predictive value for the improvement rate of Fluency test(R2=0.113,P=0.048).Conclusion There is a decrease in various amino acid levels in patients with SCZ,and some amino acids can effectively predict the improvement of cognitive function after treatment.