Background: and Purpose Ruptured intracranial aneurysms (RIA) are associated with a mortality rate of up to 40% in the Chinese population, highlighting the critical need for targeted treatment interventions for at-risk individuals. Although the impact of aldehyde dehydrogenase 2 (ALDH2) gene mutations on susceptibility to intracranial aneurysms (IA) is well documented, the potential connection between ALDH2 rs671 single-nucleotide polymorphism (SNP) and RIA remains unexplored. Given the increased prevalence of ALDH2 gene mutations among Chinese Han individuals, it is clinically relevant to investigate the link between ALDH2 rs671 SNP and IA rupture. Methods: A prospective study was conducted on 546 patients diagnosed with IA to investigate the association between ALDH2 rs671 SNP and the risk of IA rupture. Results: The ALDH2 rs671 SNP (ALDH2*2) was significantly more prevalent in patients with unruptured IA (UIA) than in those with RIA (32.56% vs. 18.58%, P=0.004). Multivariate logistic regression analysis revealed that people with the ALDH2 mutation (ALDH2*1/*2 and ALDH2*2/*2 gene type) had a significantly reduced odds ratio (OR=0.49; 95% confidence level [CI] 0.27–0.88; P=0.018) for RIAs. Age-specific subgroup analysis indicated that the ALDH2 mutation provided a stronger protective effect in individuals aged 60 years and above with IA compared to those under 60 years old (OR=0.38 vs. OR=0.52, both P<0.05). Conclusion The incidence of RIA was significantly higher in individuals with a normal ALDH2 gene (ALDH2*1/*1) than in those with an ALDH2 rs671 SNP (ALDH2*1/*2 or ALDH2*2/*2). ALDH2 rs671 SNP may serve as a protective factor against RIA in the Chinese Han population.

Background: and Purpose Ruptured intracranial aneurysms (RIA) are associated with a mortality rate of up to 40% in the Chinese population, highlighting the critical need for targeted treatment interventions for at-risk individuals. Although the impact of aldehyde dehydrogenase 2 (ALDH2) gene mutations on susceptibility to intracranial aneurysms (IA) is well documented, the potential connection between ALDH2 rs671 single-nucleotide polymorphism (SNP) and RIA remains unexplored. Given the increased prevalence of ALDH2 gene mutations among Chinese Han individuals, it is clinically relevant to investigate the link between ALDH2 rs671 SNP and IA rupture. Methods: A prospective study was conducted on 546 patients diagnosed with IA to investigate the association between ALDH2 rs671 SNP and the risk of IA rupture. Results: The ALDH2 rs671 SNP (ALDH2*2) was significantly more prevalent in patients with unruptured IA (UIA) than in those with RIA (32.56% vs. 18.58%, P=0.004). Multivariate logistic regression analysis revealed that people with the ALDH2 mutation (ALDH2*1/*2 and ALDH2*2/*2 gene type) had a significantly reduced odds ratio (OR=0.49; 95% confidence level [CI] 0.27–0.88; P=0.018) for RIAs. Age-specific subgroup analysis indicated that the ALDH2 mutation provided a stronger protective effect in individuals aged 60 years and above with IA compared to those under 60 years old (OR=0.38 vs. OR=0.52, both P<0.05). Conclusion The incidence of RIA was significantly higher in individuals with a normal ALDH2 gene (ALDH2*1/*1) than in those with an ALDH2 rs671 SNP (ALDH2*1/*2 or ALDH2*2/*2). ALDH2 rs671 SNP may serve as a protective factor against RIA in the Chinese Han population.

Background: and Purpose Ruptured intracranial aneurysms (RIA) are associated with a mortality rate of up to 40% in the Chinese population, highlighting the critical need for targeted treatment interventions for at-risk individuals. Although the impact of aldehyde dehydrogenase 2 (ALDH2) gene mutations on susceptibility to intracranial aneurysms (IA) is well documented, the potential connection between ALDH2 rs671 single-nucleotide polymorphism (SNP) and RIA remains unexplored. Given the increased prevalence of ALDH2 gene mutations among Chinese Han individuals, it is clinically relevant to investigate the link between ALDH2 rs671 SNP and IA rupture. Methods: A prospective study was conducted on 546 patients diagnosed with IA to investigate the association between ALDH2 rs671 SNP and the risk of IA rupture. Results: The ALDH2 rs671 SNP (ALDH2*2) was significantly more prevalent in patients with unruptured IA (UIA) than in those with RIA (32.56% vs. 18.58%, P=0.004). Multivariate logistic regression analysis revealed that people with the ALDH2 mutation (ALDH2*1/*2 and ALDH2*2/*2 gene type) had a significantly reduced odds ratio (OR=0.49; 95% confidence level [CI] 0.27–0.88; P=0.018) for RIAs. Age-specific subgroup analysis indicated that the ALDH2 mutation provided a stronger protective effect in individuals aged 60 years and above with IA compared to those under 60 years old (OR=0.38 vs. OR=0.52, both P<0.05). Conclusion The incidence of RIA was significantly higher in individuals with a normal ALDH2 gene (ALDH2*1/*1) than in those with an ALDH2 rs671 SNP (ALDH2*1/*2 or ALDH2*2/*2). ALDH2 rs671 SNP may serve as a protective factor against RIA in the Chinese Han population.

Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To evaluate the safety and effectiveness of single posterior osteotomy in the correction of rigid cervical spine deformities (CSD) and to explore the indications and key surgical techniques involved.Methods:A retrospective analysis was conducted on the clinical data of 9 patients with rigid CSD who underwent single posterior osteotomy correction between June 2012 and June 2023 in the Department of Spine Surgery at the First Affiliated Hospital of Xinjiang Medical University. The cohort comprised 4 males and 5 females, with a mean age of 19.8±27.2 years (range, 7-48 years). Among these, 5 cases were congenital CSD, 3 were post-tuberculosis deformities, and 1 was iatrogenic. Various coronal and sagittal alignment parameters were measured, including C 1, 2 angle, cervical lordosis (CL), structural scoliosis angle (SSA), structural kyphosis angle (SKA), head tilt (HT), C 2-C 7 sagittal vertical axis (CSVA), sagittal vertical axis (SVA), coronal balance distance (CBD), T 1 slope (T 1S), and the difference between T 1 tilt and cervical lordosis (T 1S-CL). Clinical outcomes were assessed using the neck disability index (NDI), visual analogue scale (VAS), and Scoliosis Research Society-22 questionnaire (SRS-22). Results:The average operation time was 273.9±76.1 min, with an average blood loss of 472.2±128.8 ml. All 9 patients were followed up for an average of 45.2±41.8 months (range, 12-116 months). A total of 7 patients underwent single-segment osteotomies (C 3, C 6 and C 7: 1 case each; C 5: 4 cases), and 2 patients underwent double-segment osteotomies (C 2 and C 7, C 3 and C 4). Four cases involved pedicle subtraction osteotomy (PSO), while 7 cases required vertebral column resection. The upper instrumented vertebra (UIV) was located at the occiput in 1 case and in the cervical spine in 8 cases. The lower instrumented vertebra (LIV) was located in the upper thoracic spine in 6 cases and in the cervical spine in 3 cases, with 2 of the latter cases having both UIV and LIV in the cervical spine. The average number of fused segments was 7.6±4.4 segments (range, 2-12 segments). All patients achieved successful bone fusion within an average of 8.8±3.2 months (range, 6-12 months). Preoperatively, the mean values for CL, SSA, SKA, HT, and CBD were 19.8° (17.2°, 30.5°), 27.4°(23.3°, 30.4°), 28.4°(25.6°, 30.1°), 9.0°(6.2°, 12.3°), and 18.5(12.3, 23.6) mm, respectively. Postoperative improvements were noted with values of -11.1°(-8.8°, -14.4°), 1.3°(0.8°, 1.6°), -11.1°(-8.6°, -14.5°), 1.6°(0.5°, 2.2°), and 9.4 (4.8-13.5) mm, respectively. At the final follow-up, these parameters were maintained, with values of -11.0°(-8.8°, -14.3°), 1.2°(0.8°, 1.5°), -11.0° (-8.6°, -14.3°), 1.5°(0.5°, 2.2°), and 9.4(4.8, 13.4) mm, respectively. Statistically significant improvements were observed between preoperative and postoperative measurements ( P<0.05), except for C 1, 2 angle, CSVA, SVA, T 1S, and T 1S-CL ( P>0.05). NDI and SRS-22 scores showed significant improvements postoperatively ( P<0.05), while VAS scores did not show a significant change ( P>0.05). Postoperative complications included transient nerve injury in two patients, one case of right central retinal artery occlusion, and one case of vertebral artery injury. Conclusion:This study confirms the safety and efficacy of single posterior osteotomy for treating rigid CSD of various etiologies. Standard PSO or modified techniques are effective for correcting cervical kyphosis, while hemivertebra resection and concave-side distraction are recommended for congenital scoliosis or kyphoscoliosis.

Objective:To compare the clinical characteristics and changes in inhaled drugs of newly diagnosed chronic obstructive pulmonary disease (COPD) patients in some hospitals in Hunan and Guizhou from 2017 to 2023, in order to further understand the current status of COPD diagnosis and treatment.Methods:This cross-sectional study included stable COPD patients who were initially diagnosed in the respiratory and critical care departments of 13 hospitals in China from January 1, 2017 to December 31, 2023. They were divided into 7 groups based on the time of their initial visit: the 2017, 2018, 2019, 2020, 2021, 2022, and 2023 groups. Basic information of the patients, the percentage of forced expiratory volume per second (FEV 1% pred), FEV 1/forced vital capacity (FVC), COPD assessment questionnaire (CAT) scores, the number of acute weightings in the past year, and inhalation drug regimens were collected. Results:The CAT scores of patients with COPD who visited from 2017 to 2019 were significantly higher than those from 2020 to 2023 (all P<0.05); The FEV 1% pred and FEV 1/FVC of patients with COPD showed an increasing trend from 2017 to 2023; The proportion of patients using long-acting muscarine anticholinergic (LAMA) gradually decreased between 2017 and 2023, with 8.0% (134/1 665) of patients with COPD using single drug LAMA in 2023. The proportion of patients using double branch dilators has been increasing year by year in 2018, 2019, 2020, and 2021, and the proportion of patients using double branch dilators for COPD has stabilized in 2021, 2022, and 2023, with no statistically significant difference between groups ( P>0.05). The proportion of patients with COPD who used triple inhalation drugs was the lowest in 2020 and 2021 ( P<0.05). In 2017, 2018, 2019, 2022, and 2023, the proportion of patients with COPD who used triple inhalation drugs was 45.2%(364/806), 54.0%(730/1 352), 55.5%(742/1 337), 45.8%(717/1 565), and 51.1%(851/1 665), respectively. The compliance with inhalation prescriptions and Global Initiative for Chronic Obstructive Pulmonary Disease (GOLD) documents for newly diagnosed patients with COPD from 2017 to 2023 was 47.9%(386/806), 35.1%(474/1 352), 33.7%(451/1 337), 40.3%(405/1 005), 31.2%(372/1 193), 28.4%(445/1 565), and 58.8%(979/1 665), respectively. Conclusions:With the migration of time, the clinical symptoms of newly diagnosed COPD patients have been alleviated, indicating a trend of forward shift in treatment time; The proportion of double bronchodilators used has increased, and the proportion of triple inhaled drugs used is relatively high. The compliance with GOLD documents is still not ideal.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.