OBJECTIVE To analyze the changing trend of hospital-acquired infections(HAIs)in hospitals from 2017 to 2023,and identify the distribution of different departments,infection sites and pathogens,so as to provide a scientific basis for the prevention and control of HAI.METHODS During the study period,the HAI data were col-lected and classified by year,department and infection site.Joinpoint regression model was used to analyze the trend of HAI rate,calculate the average annual percentage change(AAPC),and evaluate the distribution of infec-tion sites and pathogenic bacteria.RESULTS The overall infection situation showed that the average HAI rate was 1.19％,with a trend of increasing first and then decreasing during the study period,and AAPC was 8.33％(95％CI:0.025-0.173).The infection rate was the highest in the emergency department with an AAPC of 13.51％(95％CI:0.074-0.250),while the infection rates in the department of traditional Chinese medicine and orthope-dics were relatively stable.Lower respiratory tract infections accounted for the major proportion,followed by uri-nary tract infections and bloodstream infections.The AAPC for lower respiratory tract infections was 18.64％.The pathogenic analysis showed that bacterial infections were mainly gram-negative bacteria,with Kleb-siella pneumoniae,Pseudomonas aeruginosa,and Acinetobacter baumannii being the most common pathogens causing HAI.CONCLUSIONS The results of the study reveal that significant differences in HAI rates among dif-ferent departments and infection sites,especially the increasing infection rate in the emergency department should be highly concerned.In view of the persistent high incidence of respiratory and urinary tract infections,it is recom-mended to strengthen the relevant prevention and control measures.To effectively reduce the incidence of HAIs,it is necessary to focus on the monitoring and management of drug-resistant pathogens in the future.

The SMPX (small muscle protein X-linked) gene encodes a small-molecular-weight protein that is mainly expressed in skeletal and cardiac muscles and is involved in cytoskeletal dynamics and mechanical stress responses. In recent years, missense variants of the SMPX gene have been identified as the cause of a novel X-linked distal myopathy (Distal myopathy 7). This article has systematically reviewed the molecular functions, variant types, and pathological mechanisms of the SMPX gene by integrating its clinical classification, molecular pathological evidence, and experimental model data, and revealed its pathgenetic mechanism through protein aggregation, dynamic dysregulation of stress granules, abnormal Rac1/p38 signaling pathways, and future research directions.

OBJECTIVE To establish the an optimal prediction model for carbapenem-resistant Acinetobacter bau-mannii(CRAB)infection in ICU patients based on machine learning(ML)so as to help clinicians to diagnose and make decisions.METHODS The clinical data were collected from the patients who were hospitalized in ICUs of a three-A hospital from Jan.1,2017 to Dec.31,2024 and were randomly divided into the training set and the test set in a 7∶3 ratio.The characteristic variables were selected by means of LASSO regression analysis in combina-tion with multivariate logistic regression analysis.Five types of M L classification models were integrated,the opti-mal model was analyzed and identified.The performance of the prediction model for CRAB infection in the ICU patients was evaluated with the use of sensitivity,specificity,accuracy,areas under receiver operating characteris-tic curves(AUCs),calibration curves,Hosmer-Lemeshow test and decision curve analysis(DCA).The outputs of the ML models were interpreted by Shapley additive explanations(SHAP)and permutation importance.RESULTS A total of 2 904 patients were enrolled in the study,695(23.93％)of whom had CRAB infection.The AUC of XGBoost model was highest in the training set and the test set,respectively(0.994 and 0.907).The result of Hosmer-Lemeshow test showed that the calibration curves of the XGBoost model indicated that the predicated risk was highly con-sistent with the observed risk(x2=7.323 and 4.609,P=0.513 and 0.764,respectively).The DCA curves showed that the XGBoost model performed best within the whole range of threshold,with the highest net profit.The length of ICU stay,use of tigecycline,central venous catheterization,use of carbapenems and use of ventilator were determined as the major predictive factors by means of SHAP.CONCLUSIONS The XGBoost model is established and interpreted by SHAP.It provides bases for screening of the ICU patients at high risk of CRAB infection.

The SMPX (small muscle protein X-linked) gene encodes a small-molecular-weight protein that is mainly expressed in skeletal and cardiac muscles and is involved in cytoskeletal dynamics and mechanical stress responses. In recent years, missense variants of the SMPX gene have been identified as the cause of a novel X-linked distal myopathy (Distal myopathy 7). This article has systematically reviewed the molecular functions, variant types, and pathological mechanisms of the SMPX gene by integrating its clinical classification, molecular pathological evidence, and experimental model data, and revealed its pathgenetic mechanism through protein aggregation, dynamic dysregulation of stress granules, abnormal Rac1/p38 signaling pathways, and future research directions.
Humans ; Mutation ; Muscle Proteins/metabolism* ; Deafness/genetics* ; Animals ; Muscular Diseases/genetics* ; Genes, X-Linked

OBJECTIVE To establish the an optimal prediction model for carbapenem-resistant Acinetobacter bau-mannii(CRAB)infection in ICU patients based on machine learning(ML)so as to help clinicians to diagnose and make decisions.METHODS The clinical data were collected from the patients who were hospitalized in ICUs of a three-A hospital from Jan.1,2017 to Dec.31,2024 and were randomly divided into the training set and the test set in a 7∶3 ratio.The characteristic variables were selected by means of LASSO regression analysis in combina-tion with multivariate logistic regression analysis.Five types of M L classification models were integrated,the opti-mal model was analyzed and identified.The performance of the prediction model for CRAB infection in the ICU patients was evaluated with the use of sensitivity,specificity,accuracy,areas under receiver operating characteris-tic curves(AUCs),calibration curves,Hosmer-Lemeshow test and decision curve analysis(DCA).The outputs of the ML models were interpreted by Shapley additive explanations(SHAP)and permutation importance.RESULTS A total of 2 904 patients were enrolled in the study,695(23.93％)of whom had CRAB infection.The AUC of XGBoost model was highest in the training set and the test set,respectively(0.994 and 0.907).The result of Hosmer-Lemeshow test showed that the calibration curves of the XGBoost model indicated that the predicated risk was highly con-sistent with the observed risk(x2=7.323 and 4.609,P=0.513 and 0.764,respectively).The DCA curves showed that the XGBoost model performed best within the whole range of threshold,with the highest net profit.The length of ICU stay,use of tigecycline,central venous catheterization,use of carbapenems and use of ventilator were determined as the major predictive factors by means of SHAP.CONCLUSIONS The XGBoost model is established and interpreted by SHAP.It provides bases for screening of the ICU patients at high risk of CRAB infection.

OBJECTIVE To analyze the changing trend of hospital-acquired infections(HAIs)in hospitals from 2017 to 2023,and identify the distribution of different departments,infection sites and pathogens,so as to provide a scientific basis for the prevention and control of HAI.METHODS During the study period,the HAI data were col-lected and classified by year,department and infection site.Joinpoint regression model was used to analyze the trend of HAI rate,calculate the average annual percentage change(AAPC),and evaluate the distribution of infec-tion sites and pathogenic bacteria.RESULTS The overall infection situation showed that the average HAI rate was 1.19％,with a trend of increasing first and then decreasing during the study period,and AAPC was 8.33％(95％CI:0.025-0.173).The infection rate was the highest in the emergency department with an AAPC of 13.51％(95％CI:0.074-0.250),while the infection rates in the department of traditional Chinese medicine and orthope-dics were relatively stable.Lower respiratory tract infections accounted for the major proportion,followed by uri-nary tract infections and bloodstream infections.The AAPC for lower respiratory tract infections was 18.64％.The pathogenic analysis showed that bacterial infections were mainly gram-negative bacteria,with Kleb-siella pneumoniae,Pseudomonas aeruginosa,and Acinetobacter baumannii being the most common pathogens causing HAI.CONCLUSIONS The results of the study reveal that significant differences in HAI rates among dif-ferent departments and infection sites,especially the increasing infection rate in the emergency department should be highly concerned.In view of the persistent high incidence of respiratory and urinary tract infections,it is recom-mended to strengthen the relevant prevention and control measures.To effectively reduce the incidence of HAIs,it is necessary to focus on the monitoring and management of drug-resistant pathogens in the future.

The SMPX (small muscle protein X-linked) gene encodes a small-molecular-weight protein that is mainly expressed in skeletal and cardiac muscles and is involved in cytoskeletal dynamics and mechanical stress responses. In recent years, missense variants of the SMPX gene have been identified as the cause of a novel X-linked distal myopathy (Distal myopathy 7). This article has systematically reviewed the molecular functions, variant types, and pathological mechanisms of the SMPX gene by integrating its clinical classification, molecular pathological evidence, and experimental model data, and revealed its pathgenetic mechanism through protein aggregation, dynamic dysregulation of stress granules, abnormal Rac1/p38 signaling pathways, and future research directions.

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.

During coronavirus disease 2019 epidemic, the treatment of severe trauma has been impacted. The Consensus on emergency surgery and infection prevention and control for severe trauma patients with 2019 novel corona virus pneumonia was published online on February 12, 2020, providing a strong guidance for the emergency treatment of severe trauma and the self-protection of medical staffs in the early stage of the epidemic. With the Joint Prevention and Control Mechanism of the State Council renaming "novel coronavirus pneumonia" to "novel coronavirus infection" and the infection being managed with measures against class B infectious diseases since January 8, 2023, the consensus published in 2020 is no longer applicable to the emergency treatment of severe trauma in the new stage of epidemic prevention and control. In this context, led by the Chinese Traumatology Association, Chinese Trauma Surgeon Association, Trauma Medicine Branch of Chinese International Exchange and Promotive Association for Medical and Health Care, and Editorial Board of Chinese Journal of Traumatology, the Chinese expert consensus on emergency surgery for severe trauma and infection prevention during coronavirus disease 2019 epidemic ( version 2023) is formulated to ensure the effectiveness and safety in the treatment of severe trauma in the new stage. Based on the policy of the Joint Prevention and Control Mechanism of the State Council and by using evidence-based medical evidence as well as Delphi expert consultation and voting, 16 recommendations are put forward from the four aspects of the related definitions, infection prevention, preoperative assessment and preparation, emergency operation and postoperative management, hoping to provide a reference for severe trauma care in the new stage of the epidemic prevention and control.

Background: The mechanism of peripheral axon transport in neuropathic pain is still unclear. Chemokine ligand 13 (CXCL13) and its receptor (C-X-C chemokine receptor type 5, CXCR5) as well as GABA transporter 1 (GAT-1) play an important role in the development of pain. The aim of this study was to explore the axonal transport of CXCL13/CXCR5 and GAT-1 with the aid of the analgesic effect of botulinum toxin type A (BTX-A) in rats. Methods: Chronic constriction injury (CCI) rat models were established. BTX-A was administered to rats through subcutaneous injection in the hind paw. The pain behaviors in CCI rats were measured by paw withdrawal threshold and paw withdrawal latencies. The levels of CXCL13/CXCR5 and GAT-1 were measured by western blots. Results: The subcutaneous injection of BTX-A relieved the mechanical allodynia and heat hyperalgesia induced by CCI surgery and reversed the overexpression of CXCL13/CXCR5 and GAT-1 in the spinal cord, dorsal root ganglia (DRG), sciatic nerve, and plantar skin in CCI rats. After 10 mmol/L colchicine blocked the axon transport of sciatic nerve, the inhibitory effect of BTX-A disappeared, and the levels of CXCL13/CXCR5 and GAT-1 in the spinal cord and DRG were reduced in CCI rats. Conclusions BTX-A regulated the levels of CXCL13/CXCR5 and GAT-1 in the spine and DRG through axonal transport. Chemokines (such as CXCL13) may be transported from the injury site to the spine or DRG through axonal transport. Axon molecular transport may be a target to enhance pain management in neuropathic pain.