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 explore the clinical value of a trinity strategy for the treatment of multiple orthopedic trauma.Methods:A retrospective case series study was conducted to analyze the clinical data of 1 267 patients with multiple orthopedic trauma admitted to Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine and the First Affiliated Hospital of Navy Medical University from June 2013 to May 2023, including 862 males and 405 females, aged 18-93 years [(55.2±19.8)years]. Associated injuries included hemorrhagic shock in 632 patients, traumatic wet lung in 274, cranial injuries in 135, abdominal and pelvic bleeding in 116, pneumothorax in 89, urinary injury in 13, and vesical rupture in 8. All the patients were treated with the trinity strategy and the treatment process was divided into the phases of first aid, remodeling, and rehabilitation. The first aid phase focused on stabilizing symptoms and saving lives; the remodeling phase centered on restoring the anatomical structure and alignment; the rehabilitation phase aimed for functional recovery through the integration of both Western and traditional Chinese medicine. The all-cause mortality within 30 days after surgery and fracture healing time were calculated; the excellent and good rates of Constant-Murley shoulder score, Mayo elbow score, Gartland-Werley wrist score, Harris hip score, Hospital for Special Surgery (HSS) knee score and the American Orthopedic Foot & Ankle Society (AOFAS) ankle-hindfoot score at the last follow-up and the overall excellent and good rate of all joint function scores were measured. The short form health survey (SF-36) scores were collected preoperatively and at 6 months postoperatively, including 8 aspects such as physical functioning, physical role, bodily pain, general health, vitality, social functioning, emotional role, and mental health. The incidence of postoperative complications was recorded.Results:All the patients were followed up for 6-18 months [(10.2±4.2)months]. The mortality rate during the acute phase (within 30 days after surgery) was 2.37% with 12 deaths due to hemorrhagic shock, 10 due to traumatic brain injury, 6 due to multiple organ dysfunction syndrome (MODS), and 2 due to pulmonary infection. The average fracture healing time averaged 3.8-18 months [(11.5±4.2)months], with 89.49% of the patients having bone union within 12 months after surgery, 8.93% having bone union within 18 months after surgery, and 1.58% undergoing reoperation. For the patients with internal fixation failure and nonunion, the average healing time was extended to (10.2±2.2)months and (13.7±3.3)months respectively. At the last follow-up, the excellent and good rates of Constant-Murley shoulder score, Mayo elbow score, Gartland-Werley wrist score, Harris hip score, HSS knee score, and AOFAS ankle-hindfoot score were 83.93%, 90.24%, 94.12%, 85.57%, 88.46%, and 92.31% respectively, with an overall excellent and good rate of 89.11%. At 6 months after surgery, the SF-36 scores of all the patients in the eight dimensions,including the physical functioning, physical role, bodily pain, general health, vitality, social functioning, emotional role, and mental health were (74.4±8.6)points, (44.7±14.4)points, (77.4±10.9)points, (68.4±18.2)points, (72.5±16.0)points, (76.8±8.7)points, (49.9±17.6)points, and (72.8±17.9)points, significantly improved compared with those before operation [(63.4±12.7)points, (30.9±17.4)points, (56.4±18.0)points, (55.4±24.7)points, (53.5±21.0)points, (55.8±24.3)points, (36.9±24.0)points, (58.8±21.6)points] ( P<0.01). Complications of different degrees occurred in 214 patients (16.89%), including lung infections in 118 patients (9.31%), lower extremity deep vein thrombosis in 50(3.95%), pressure injuries in 26(2.05%), internal fixation failure in 12(0.95%), and nonunion in 8(0.63%). Conclusions:The trinity strategy provides whole-process management, personalized treatment, and overall rehabilitation for multiple orthopedic trauma. It can decrease mortality, shorten fracture healing time, improve joint function and quality of life, and reduce the incidence of complications.

Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

The concept,connotation and extension,goals and tasks of the discipline of Chinese medicinal materials resource chem-istry have been proposed and developed for 20 years.Looking back at the 20-year construction and development process,continuous exploration and innovative practice have been carried out around the scientific production and effective utilization of traditional Chinese medicinal materials.The theoretical connotation has been further enriched,the research mode has been further improved,and the tech-nical system has been further expanded.A series of research results have been formed and promoted for application,serving the high-quality development of the traditional Chinese medicinal materials industry,and contributing to the improvement of quality,efficiency,and green development of the entire industry chain of Chinese medicinal resources.However,with the rapid growth of Chinese medici-nal materials industry and the continuous expansion and extension of the industry chain,the waste and by-products generated in the production process of Chinese medicinal agriculture and industry are increasing day by day,causing resource waste and environmental pollution,which has become a new major problem facing the development of the industry.This article focuses on the establishment and case analysis of a model for the full industry chain recycling and low-carbon green development of Chinese medicinal materials,as well as the creation of an ecological industry demonstration park for the recycling of Chinese medicinal materials.It showcases the phased a-chievements made in recent years,aiming to provide demonstration and reference for the low-carbon and green transformation of the Chinese medicinal materials industry from a linear economy model to a circular economy model.It provides reference for improving the efficiency of Chinese medicinal materials utilization and creating new quality productivity,and helps promote low-carbon and green de-velopment in the field of Chinese medicinal materials industry.

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.

Objective: To investigate the timing of pericardial drainage catheter removal and restart of the anticoagulation in patients with atrial fibrillation (AF) suffered from perioperative pericardial tamponade during atrial fibrillation catheter ablation and uninterrupted dabigatran. Methods: A total of 20 patients with pericardial tamponade, who underwent AF catheter ablation with uninterrupted dabigatran in Beijing Anzhen Hospital from January 2019 to August 2021, were included in this retrospective analysis. The clinical characteristics of enrolled patients, information of catheter ablation procedures, pericardial tamponade management, perioperative complications, the timing of pericardial drainage catheter removal and restart of anticoagulation were analyzed. Results: All patients underwent pericardiocentesis and pericardial effusion drainage was successful in all patients. The average drainage volume was (427.8±527.4) ml. Seven cases were treated with idarucizumab, of which 1 patient received surgical repair. The average timing of pericardial drainage catheter removal and restart of anticoagulation in 19 patients without surgical repair was (1.4±0.7) and (0.8±0.4) days, respectively. No new bleeding, embolism and death were reported during hospitalization and within 30 days following hospital discharge. Time of removal of pericardial drainage catheter, restart of anticoagulation and hospital stay were similar between patients treated with idarucizumab or not. Conclusion: It is safe and reasonable to remove pericardial drainage catheter and restart anticoagulation as soon as possible during catheter ablation of atrial fibrillation with uninterrupted dabigatran independent of the idarucizumab use or not in case of confirmed hemostasis.
Humans ; Atrial Fibrillation/drug therapy* ; Dabigatran/therapeutic use* ; Cardiac Tamponade/complications* ; Anticoagulants/therapeutic use* ; Retrospective Studies ; Treatment Outcome ; Drainage/adverse effects* ; Catheter Ablation ; Catheters/adverse effects*

Humans ; Child ; Neurofibromatosis 1/drug therapy* ; Benzimidazoles/therapeutic use*

OBJECTIVES: To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia. METHODS: A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively. RESULTS: Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia. CONCLUSIONS The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn ; Humans ; Male ; Pregnancy ; Female ; Nomograms ; Retrospective Studies ; Cesarean Section ; Risk Factors ; Asphyxia Neonatorum/etiology*