Objective:To explore the relationship between spindle and kinetochore-associated protein 3(SKA3), dual-specificity phosphatase 26(DUSP26), and prognosis in elderly patients with non-small cell lung cancer(NSCLC).Methods:A retrospective analysis was conducted on case samples from elderly patients with NSCLC at Xinxiang Central Hospital between January 2020 and May 2023.During surgery, specimens of cancerous and adjacent non-cancerous tissues were collected.The expressions of SKA3 and DUSP26 in these tissues were assessed using immunohistochemistry, and their correlations with clinicopathological characteristics were analyzed.The relationship between SKA3 and DUSP26 in cancer tissues was examined using the Spearman correlation coefficient.After one year of follow-up, the association between SKA3 and DUSP26 expressions in cancer tissues and patient prognosis was evaluated using Kaplan-Meier curves, and prognostic factors were analyzed using the Cox proportional hazards model.Results:In this cohort of 145 elderly patients aged 65 to 85 years(mean age: 72.61±3.87), including 91 males, we observed that the positive expression rates of SKA3 and DUSP26 in cancer tissues were 66.21%(96/145)and 71.03%(103/145), respectively.These rates were significantly higher than those found in para-carcinoma tissues, which were 16.55%(24/145)and 13.79%(20/145), with a P-value of <0.05.Spearman correlation analysis revealed a positive correlation between SKA3 and DUSP26 expression in cancer tissues( r=0.571, P<0.001).Moreover, the proportions of low differentiation, clinical staging at stages Ⅰ-Ⅱ, and lymph node metastasis were significantly higher in the SKA3-positive group compared to the SKA3-negative group( P<0.05), and similarly, these proportions were higher in the DUSP26-positive group than in the DUSP26-negative group( P<0.05).Kaplan-Meier survival analysis indicated that after one year of follow-up, the cumulative survival rates for patients with positive expressions of SKA3 and DUSP26 were 61.46%(59/96)and 58.25%(60/103), respectively, which were significantly lower than those with negative expressions[87.76%(43/49)and 92.86%(39/42), P<0.05].Cox regression analysis identified low differentiation( HR=1.817, 95% CI: 1.294-2.550), clinical staging at stage Ⅲ( HR=1.939, 95% CI: 1.315-2.858), lymph node metastasis( HR=1.898, 95% CI: 1.350-2.670), as well as positive expressions of SKA3( HR=2.071, 95% CI: 1.317-3.257)and DUSP26( HR=2.136, 95% CI: 1.402-3.256)as significant risk factors for prognosis( P<0.05). Conclusions:The expression rates of SKA3 and DUSP26 in cancer tissues are significantly elevated in elderly patients with NSCLC.Furthermore, these two biomarkers are correlated with the degree of differentiation, clinical staging, and lymph node metastasis, indicating their potential utility in evaluating the prognosis of elderly NSCLC patients.

Purpose To assess the utility of echocardiographic parameters in predicting adverse cardiovascular in patients with connective tissue disease.Materials and Methods A retrospective analysis was conducted on the clinical and echocardiographic records of patients with connective tissue disease from the Affiliated Hospital of Inner Mongolia Medical University(June 1st,2020 to June 1st,2023)who had complete medical data and at least twelve months of follow-up.Variables were screened based on univariate analysis,combined with clinical expertise and XGBoost feature weight analysis;this information was used to construct a Cox proportional hazards regression model designed to predict composite endpoint events of adverse cardiovascular outcomes.Internal validation was performed using the Bootstrap resampling method,and the model's performance was evaluated.Results The study included 123 participants.The incidence of positive events reached 39.02%(48/123).Mitral valve early diastolic annular velocity(reflecting left heart function)(HR=0.79,P=0.041)and tricuspid annular plane systolic excursion(reflecting right heart function)(HR=0.92,P=0.044)emerged as significant predictors for adverse cardiovascular outcomes.Compared with the clinical model,the model combined with left heart function parameters showed significant improvements in both risk classification and absolute accuracy for short-term and medium-term adverse prognosis(NRI365=0.054,IDI365=0.060,NRI730=0.064,IDI730=0.079,all P<0.05)and optimized risk classification for long-term adverse prognosis(NRI1 095=0.256,P<0.05).In contrast,the model combined with right heart function parameters improved risk classification at all time points(NRI365=0.054,NRI730=0.000,NRI1 095=0.135,all P<0.05).Conclusion Mitral valve early diastolic annular velocity and tricuspid annular plane systolic excursion,which reflect cardiac function,are factors for predicting adverse cardiovascular outcomes among individuals diagnosed with connective tissue disease.Multi-parameter combined models incorporating echocardiographic variables can provide incremental predictive value compared with clinical models.

Objective:To investigate the incidence and high-risk pathogenic factors of cardiovascular disease（CVD）in patients with rheumatic and autoimmune diseases，and to construct and validate a predictive model for the risk of CVD occurrence in these patients.Methods:A retrospective analysis was conducted on 239 patients with rheumatic and autoimmune diseases who underwent treatment and echocardiography at the Affiliated Hospital of Inner Mongolia Medical University between June 2020 and June 2023. General patient data，laboratory test results，and echocardiographic findings were collected. Follow-up was performed via electronic medical records or telephone surveys until December 2024 to determine the incidence of CVD，starting from the date of the first echocardiographic examination. Predictive factors were screened using univariate analysis and Lasso regression，and a Logistic regression model was constructed. Internal validation was performed using the Bootstrap method. The model's accuracy and clinical utility were assessed using the Hosmer-Lemeshow test，calibration curve，and decision curve analysis.Results:Among the 239 patients，111 developed CVD. Logistic regression analysis identified age，diastolic blood pressure，use of immunosuppressants，lymphocyte count（LYM），α-hydroxybutyrate dehydrogenase（α-HBDH）level，serum cystatin C（CysC），and right ventricular fractional area change（RVFAC）as independent predictive factors for CVD in these patients（all P<0.05）. The area under the ROC curve（AUC）for the prediction model was 0.895（95% CI = 0.856 - 0.935），and after Bootstrap validation，it was 0.894（95% CI = 0.861-0.925）. The Hosmer-Lemeshow test，calibration curve，and decision curve analysis all indicated that the model had good accuracy and clinical utility. Conclusions:Age，diastolic blood pressure，use of immunosuppressants，LYM，α-HBDH，CysC，and RVFAC may serve as independent risk factors for CVD in patients with rheumatic and autoimmune diseases. The prediction model based on echocardiography combined with laboratory indicators can，to some extent，predict the risk of CVD occurrence in these patients.

Purpose To assess the utility of echocardiographic parameters in predicting adverse cardiovascular in patients with connective tissue disease.Materials and Methods A retrospective analysis was conducted on the clinical and echocardiographic records of patients with connective tissue disease from the Affiliated Hospital of Inner Mongolia Medical University(June 1st,2020 to June 1st,2023)who had complete medical data and at least twelve months of follow-up.Variables were screened based on univariate analysis,combined with clinical expertise and XGBoost feature weight analysis;this information was used to construct a Cox proportional hazards regression model designed to predict composite endpoint events of adverse cardiovascular outcomes.Internal validation was performed using the Bootstrap resampling method,and the model's performance was evaluated.Results The study included 123 participants.The incidence of positive events reached 39.02%(48/123).Mitral valve early diastolic annular velocity(reflecting left heart function)(HR=0.79,P=0.041)and tricuspid annular plane systolic excursion(reflecting right heart function)(HR=0.92,P=0.044)emerged as significant predictors for adverse cardiovascular outcomes.Compared with the clinical model,the model combined with left heart function parameters showed significant improvements in both risk classification and absolute accuracy for short-term and medium-term adverse prognosis(NRI365=0.054,IDI365=0.060,NRI730=0.064,IDI730=0.079,all P<0.05)and optimized risk classification for long-term adverse prognosis(NRI1 095=0.256,P<0.05).In contrast,the model combined with right heart function parameters improved risk classification at all time points(NRI365=0.054,NRI730=0.000,NRI1 095=0.135,all P<0.05).Conclusion Mitral valve early diastolic annular velocity and tricuspid annular plane systolic excursion,which reflect cardiac function,are factors for predicting adverse cardiovascular outcomes among individuals diagnosed with connective tissue disease.Multi-parameter combined models incorporating echocardiographic variables can provide incremental predictive value compared with clinical models.

Objective:To explore the relationship between spindle and kinetochore-associated protein 3(SKA3), dual-specificity phosphatase 26(DUSP26), and prognosis in elderly patients with non-small cell lung cancer(NSCLC).Methods:A retrospective analysis was conducted on case samples from elderly patients with NSCLC at Xinxiang Central Hospital between January 2020 and May 2023.During surgery, specimens of cancerous and adjacent non-cancerous tissues were collected.The expressions of SKA3 and DUSP26 in these tissues were assessed using immunohistochemistry, and their correlations with clinicopathological characteristics were analyzed.The relationship between SKA3 and DUSP26 in cancer tissues was examined using the Spearman correlation coefficient.After one year of follow-up, the association between SKA3 and DUSP26 expressions in cancer tissues and patient prognosis was evaluated using Kaplan-Meier curves, and prognostic factors were analyzed using the Cox proportional hazards model.Results:In this cohort of 145 elderly patients aged 65 to 85 years(mean age: 72.61±3.87), including 91 males, we observed that the positive expression rates of SKA3 and DUSP26 in cancer tissues were 66.21%(96/145)and 71.03%(103/145), respectively.These rates were significantly higher than those found in para-carcinoma tissues, which were 16.55%(24/145)and 13.79%(20/145), with a P-value of <0.05.Spearman correlation analysis revealed a positive correlation between SKA3 and DUSP26 expression in cancer tissues( r=0.571, P<0.001).Moreover, the proportions of low differentiation, clinical staging at stages Ⅰ-Ⅱ, and lymph node metastasis were significantly higher in the SKA3-positive group compared to the SKA3-negative group( P<0.05), and similarly, these proportions were higher in the DUSP26-positive group than in the DUSP26-negative group( P<0.05).Kaplan-Meier survival analysis indicated that after one year of follow-up, the cumulative survival rates for patients with positive expressions of SKA3 and DUSP26 were 61.46%(59/96)and 58.25%(60/103), respectively, which were significantly lower than those with negative expressions[87.76%(43/49)and 92.86%(39/42), P<0.05].Cox regression analysis identified low differentiation( HR=1.817, 95% CI: 1.294-2.550), clinical staging at stage Ⅲ( HR=1.939, 95% CI: 1.315-2.858), lymph node metastasis( HR=1.898, 95% CI: 1.350-2.670), as well as positive expressions of SKA3( HR=2.071, 95% CI: 1.317-3.257)and DUSP26( HR=2.136, 95% CI: 1.402-3.256)as significant risk factors for prognosis( P<0.05). Conclusions:The expression rates of SKA3 and DUSP26 in cancer tissues are significantly elevated in elderly patients with NSCLC.Furthermore, these two biomarkers are correlated with the degree of differentiation, clinical staging, and lymph node metastasis, indicating their potential utility in evaluating the prognosis of elderly NSCLC patients.

Objective:To investigate the incidence and high-risk pathogenic factors of cardiovascular disease（CVD）in patients with rheumatic and autoimmune diseases，and to construct and validate a predictive model for the risk of CVD occurrence in these patients.Methods:A retrospective analysis was conducted on 239 patients with rheumatic and autoimmune diseases who underwent treatment and echocardiography at the Affiliated Hospital of Inner Mongolia Medical University between June 2020 and June 2023. General patient data，laboratory test results，and echocardiographic findings were collected. Follow-up was performed via electronic medical records or telephone surveys until December 2024 to determine the incidence of CVD，starting from the date of the first echocardiographic examination. Predictive factors were screened using univariate analysis and Lasso regression，and a Logistic regression model was constructed. Internal validation was performed using the Bootstrap method. The model's accuracy and clinical utility were assessed using the Hosmer-Lemeshow test，calibration curve，and decision curve analysis.Results:Among the 239 patients，111 developed CVD. Logistic regression analysis identified age，diastolic blood pressure，use of immunosuppressants，lymphocyte count（LYM），α-hydroxybutyrate dehydrogenase（α-HBDH）level，serum cystatin C（CysC），and right ventricular fractional area change（RVFAC）as independent predictive factors for CVD in these patients（all P<0.05）. The area under the ROC curve（AUC）for the prediction model was 0.895（95% CI = 0.856 - 0.935），and after Bootstrap validation，it was 0.894（95% CI = 0.861-0.925）. The Hosmer-Lemeshow test，calibration curve，and decision curve analysis all indicated that the model had good accuracy and clinical utility. Conclusions:Age，diastolic blood pressure，use of immunosuppressants，LYM，α-HBDH，CysC，and RVFAC may serve as independent risk factors for CVD in patients with rheumatic and autoimmune diseases. The prediction model based on echocardiography combined with laboratory indicators can，to some extent，predict the risk of CVD occurrence in these patients.

Objective: To compare the value of two 3D imaging reconstruction methods for left atria and pulmonary vein on guiding the catheter ablation for atrial fibrillation (AF). Methods: From January 2014 to January 2017, a total of 100 drug refractory paroxysmal AF patients were divided into left atria direct angiography group (n=50), and indirect angiography group (n=50). 3D CARTO system was applied for mapping and guiding the ablation procedure. Patients assigned to direct angiography group were treated as follows: intraoperative puncture of atrial septum, inject contrast agent directly into the left atrium, conduct left atrial and pulmonary venous rotation angiography, reconstruct three-dimensional image, integrate the image into real-time X-ray system to facilitate circumferential pulmonary vein isolation. Patients assigned into the indirect angiography group were treated as follows: inject contrast agent through the right ventricle, conduct delayed rotation angiography of the left atria and pulmonary vein to guide circumferential pulmonary vein fixation and ablation. The left atrial and pulmonary venous image acquisition, the operation and X-ray exposure time, the success rate and the incidence of complication of the two groups were compared. The patients were followed up for 3-6 months. Results: General clinical characteristics of the two groups were similar(all P>0.05). Ablation was successful in all 100 patients. The operation time[(112.0±21.4)min vs. (134.0±24.3)min]and X-ray exposure time((10.7±4.7)min vs. (15.8±5.2)min)were significantly lower in direct angiography group than in indirect angiography group (both P<0.01). There was no significant difference between the two groups in the immediate (86%(43/50) vs. 82%(41/50), P=0.59) and short-term (76%(38/50) vs. 72%(36/50), P=0.65) success rate and complication rate (1 aneurysm in the direct angiography group, 1 pericardial tamponade in the indirect angiography group). In-hospital mortality was zero percent. Conclusion It is safe and effective method to guide the radiofrequency catheter ablation of paroxysmal atrial fibrillation by reconstruction 3D image of left atrium and pulmonary vein. Compared with indirect angiography group, direct angiography group can improve the imaging quality of left atrium and pulmonary vein, decrease the X-ray exposure time of the ablation procedure.

Objective: To investigate the safety and effectiveness of three-dimensional (3-D) rotational angiography reconstruction of left atrial and pulmonary vein stereo image embedded with real-time X-ray fluoroscopy system for guiding radiofrequency catheter ablation (RFCA) in treating the patients with atrial ifbrillation (AF).
Methods: A total of 60 consecutive AF patients who received RFCA in our hospital from 2011-04 to 2013-04 were studied. The patients were randomly divided into 2 groups and 3-D Carto3 mapping system was applied for guiding RFCA in both groups. n=30 in each group. Treatment group, the patients received Siemens ARTIS Zeego digital subtraction system for left atrial and pulmonary vein rotational angiography, then, stereo images were reconstructed and embedded with real-time X-ray lfuoroscopy for RFCA guidance. Control group, conventional left and right pulmonary venography was conducted for RFCA guidance. The procedural and X-ray exposure times, rates of success and complications were recorded and compared between 2 groups.
Results: All 60 patients had successful RFCA, compared with Control group, the patients in Treatment group had obviously less procedural time and X-ray exposure time, while the success rate and complications were similar between 2 groups.
Conclusion: 3-D rotational angiography reconstruction of left atrial and pulmonary vein stereo image embedded with real-time X-ray lfuoroscopy system is safe and effective for guiding RFCA in treating the AF patients, which may reduce the procedural and X-ray exposure times.