Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Objective To compare the clinical efficacies of video-assisted thoracoscopic segmentectomy versus lobectomy for early-stage non-small cell lung cancer.Methods The clinical data of 234 patients with stage ⅠA non-small cell lung cancer and undergoing different surgical methods under video-assisted thoracoscopy admitted to Chongqing Dianjiang General Hospital were retrospectively analyzed,and the patients were divided into the lung segment group and the lung lobe group according to their surgical methods.The clinical characteristics of the patients in the two groups were balanced by a 1-to-1 ratio matching through the propensity score matching method,and each group finally included 63 cases.The perioperative indicators containing operation time,intraoperative blood loss,postoperative thoracic drainage tube indwelling time,thoracic drainage volumes 24 hours and 48 hours after operation and postoperative hospital stay were compared of patients between the two groups.The incidence of postoperative complications such as air leakage>6 days,pulmonary infection,atelectasis,hemoptysis,and hoarseness in the two groups was collected.Results There was no significant difference in the operation time,intraoperative blood loss,thoracic drainage volumes 24 hours and 48 hours after operation,postoperative thoracic drainage tube indwelling time or incidence of postoperative complications of patients between the two groups(P>0.05).The postoperative hospital stay of patients in the lung segment group was shorter than that in the lung lobe group,with statistically significant difference(P=0.003).Conclusion For patients with stage ⅠA non-small cell lung cancer,video-assisted thoracoscopic segmentectomy has similar perioperative efficacy to lobectomy,while segmentectomy has a more significant advantage in shortening the hospital stay.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

Multisystem inflammatory syndrome in children(MIS-C)is a complex syndrome characterized by multi-organ involvement that has emerged in the context of the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)outbreak.The clinical presentation of MIS-C is similar to Kawasaki disease but predominantly presents with fever and gastrointestinal symptoms,and severe cases can involve toxic shock and cardiac dysfunction.Epidemiological findings indicate that the majority of MIS-C patients test positive for SARS-CoV-2 antibodies.The pathogenesis and pathophysiology of MIS-C remain unclear,though immune dysregulation following SARS-CoV-2 infection is considered a major contributing factor.Current treatment approaches for MIS-C primarily involve intravenous immunoglobulin therapy and symptomatic supportive care.This review article provides a comprehensive overview of the definition,epidemiology,pathogenesis,clinical presentation,diagnosis,treatment,and prognosis of MIS-C.

Objective To observe the clinical efficacy of meridian massage in the treatment of lumbar disc herniation(LDH).Methods Between July 2020 and April 2023,82 patients with lumbar disc herniation were selected,including 58 males and 24 females,aged from 23 to 55 years old with an average of(43.76±6.64)years old.According to the different treatment methods,they were divided into observation group and control group with 41 cases in each group.The control group was treated with routine treatment,and the observation group was treated with meridian massage on the basis of routine treatment.In the control group,there were 30 males and 11 females;aged from 22 to 52 years old with an average of(42.27±9.34)years old;the Body mass index(BMI)ranged from 19 to 28 kg·m-2 with an average of(23.82±1.08)kg·m-2;the course of disease ranged from 0.5 to 3.0 years(2.40±0.48)years.There were 28 cases in L4,5 segment and 13 cases in L5S1 segment.In the observation group,there were 28 males and 13 females;the age ranged from 19 to 54 years old(42.19±9.26)years old;the BMI ranged from 18 to 29 kg·m-2 with an average of(23.73±1.15)kg·m-2;the course of disease ranged from 0.6 to 2.8 with an average of(2.56±0.45)years;there were 26 cases in L4,5 segment and 15 cases in L5S1 segment.Visual analogue scale(VAS),Oswestry disability index(ODI),M-JOA score and TCM syndrome score were measured before and after 3 courses of treatment,and the clinical efficacy was evaluated by the standard of curative effect evaluation.Results After treatment,VAS[(3.24±1.45)vs(4.46±0.64)],ODI[(11.45±1.98)％vs(17.21±2.74)％]and TCM symptom score[(2.03±0.27)vs(3.99±0.54)]of the observation group were lower than those of the control group.The score of M-JOA[(23.43±2.61)vs(19.37±1.62)]increased(P＜0.05).The scores of VAS,ODI andTCM symptoms in the observation group were lower than those in the control group,while the scores of M-JOA were higher than those in the control group(P＜0.05).Conclusion Meridian massage is effective in the treatment of LDH,which can effectivelyrelieve low back pain,improve clinical symptoms and increaselumbar function,which is worthy of clinical promotion.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Background/Aims: Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. Methods: We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. Results: Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. Conclusions Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.

ObjectiveTo observe the impacts of electroacupuncture （EA） on the expression of hippocampal brain-derived neurotrophic factor （BDNF） and acetylated histone （AcH3） in the rat model of spared nerve injury （SNI）， so as to explore the analgesic and antidepressant effects of EA. MethodsTwenty-four Male SD rats were randomly divided into 4 groups， with 6 in each group. SNI was used to establish the model of pain and depression. All the groups were intervened one week after SNI surgery and persisted 5 weeks. The EA group was treated with EA （2 Hz） for 30 min every other day and imipramine drug group （IMP） group with peritoneal imipramine injection （10 mg/kg） per day. The sham surgery group （SS） and model group （SNI） received the same grasping stimulation. The paw mechanical withdrawal threshold （PWT） test was performed before the SNI surgery， 1， 2， 3， 4， 5， and 6 weeks after surgery， respectively. The forced swimming test （FST） and the sucrose preference test （SPT） were performed 6 weeks after SNI surgery. The Western blot method was employed to detect the expression of BDNF and AcH3 from the rat hippocampal tissue at the end of the behavioral tests. ResultsCompared with the SS group， the SNI group had significantly decreased PWT and sucrose consumption， prolonged FST immobility time （all P<0.01）， down-regulated BDNF and AcH3 expression （P<0.05 & P<0.01） in the hippocampus， which indicated the successful construction of the pain-depression model. Compared with the SNI group， 6 weeks after SNI surgery， the EA and IMP groups had significantly increased PWT and sucrose consumption， and reduced FST immobility time （all P<0.01）； the EA group had up-regulated BDNF and AcH3 expression （both P<0.05） in the hippocampus， the IMP group had up-regulated AcH3 （P<0.05） expression but no difference in BDNF expression. ConclusionEA could relieve pain and depressive behavioral symptoms in SNI rats. And its analgesic and antidepressant mechanisms may relate to the up-regulation of hippocampal AcH3 and BDNF expression.