Objective To construct a machine learning algorithm using biomarkers to predict the risk of sepsis-induced respiratory tract infection in order to assist clinicians in making decisions.Methods Based on the diagnostic criteria of the research subjects,and the basic clinical data of the participants were collected.The data set was randomly split into a training set(80％)and a validation set(20％).Use feature filtering algorithms to select the best subset of variables from the training set,and use this subset to construct random forest(RF),extreme gradient boosting(XGBoost),adaptive boosting(AdaBoost),Logistic regression(LR),ridge regression(Ridge),and support vector machine(SVM)classifiers.Then,evaluate the model's generalization ability using a validation dataset.Evaluate the performance of the model comprehensively through accuracy,precision,recall,and area under the curve.Results A total of 377 patients with sepsis-induced respiratory tract infection(case group)and 564 patients with respiratory tract infection(control group)were included,and 17 variables were found to be suitable for the initial model construction.Using feature screening algorithm,we found that the predictive performance of tree models(RF,XGboost,and AdaBoost)was better than that of linear models(LR,SVM,and Ridge).The AdaBoost model included 14 biomarkers,and its prediction accuracy was better than RF,XGBoost,LR,SVM,Ridge models,its precision,recall,accuracy and area under the curve were 0.90,0.84,91.75％and 0.950,respectively.The Ridge model had the worst prediction performance,with an accuracy of 82.97％,its precision,recall and area under the curve were 0.90,0.72 and 0.835 respectively.Conclusion In this study,six predictive models of sepsis-induced respiratory tract infection were developed,among which AdaBoost model could more accurately predict the risk of sepsis-induced respiratory tract infection and help to assist clinical decision-making.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

Objective:To establish a Zika virus-infected suckling SD rat model with type Ⅰ interferon receptor deficiency（SD-Ifnar1 -/-［cc］）and provide a novel animal model for investigating Zika virus pathogenesis and developing therapeutic strategies. Methods:Seventeen-day-old male SD-Ifnar1 -/-［cc］rat pups were randomly divided into experimental and control groups（ n=6）. The experimental group received an intraperitoneal injection of Zika virus strain SZ-wiv01（5×10 4 PFU/rat，200 μl），while the control group received an equal volume of phosphate-buffered saline（PBS）. Animals were euthanized via CO 2 asphyxiation on days 12 and 15 post-infection（dpi），and brain，spleen，liver，and testis tissues were harvested. Viral loads and cytokine expression levels were quantified using quantitative real-time PCR qRT-PCR），and histopathological evaluation was performed via HE staining. Results:qRT-PCR analysis revealed no detectable Zika virus RNA（Ct >35）in control tissues. In the experimental group，viral RNA（Ct <35）was detected in the brain，spleen，liver，and testis by day 12，with stable viral loads across tissues by day 15（ P>0.05）. Cytokine profiling demonstrated significant upregulation in the brain at day 12：IFN-β（5.58-fold， P<0.01），IL-6（7.11-fold， P<0.01），and CCL5（3.79-fold， P<0.01）. By day 15，these levels remained elevated（IFN-β：3.07-fold；IL-6：4.04-fold；CCL5：5.22-fold；all P<0.01）. In the liver，IFN-β mRNA decreased to 20% of the control level by day 15（ P<0.05），while IL-6 declined to 24% and CCL5 mRNA dropped to 38% by day 12. No significant cytokine changes were observed in the spleen（ P>0.05）. Testicular tissues exhibited reduced IFN-β mRNA levels（43% of control at day 12，31% at day 15； P<0.05）. Histopathological analysis revealed marked splenomegaly with disrupted splenic corpuscle architecture and lymphocyte depletion，significant inflammatory cell infiltration in hepatic portal areas，and testicular structural disorganization with inflammatory infiltration in Zika-infected rats. Conclusions:The SD-Ifnar1 -/-［cc］suckling rat model is successfully established and validated. This model recapitulates systemic Zika virus infection，tissue-specific pathology，and immune response dynamics，providing a robust platform for elucidating viral pathogenesis and advancing antiviral drug development.

Objective To evaluate the efficacy of shoulder arthroscopic double row suture bridge repair program in patients with rotator cuff tears.Methods 118 cases of rotator cuff tear patients admitted from September 2019 to July 2023 were selected,then they were divided in the control group and pilot group,each with 59 cases(the random number table method was used as the basis for dividing the groups),and each of two groups 1 case was lost,and finally 58 cases were included in each.Both underwent shoulder arthroscopic rotator cuff repair under general anesthesia,the control group was treated with single-row fixed suture,the pilot group was treated with double row suture bridge repair program,and were followed up for 6 months after surgery.Two groups were compared operative-related conditions,pain[visual analogue scale(VAS)score],shoulder function[the Constant-Murley scale,University of California at Los Angeles(UCLA)scale,American Shoulder and Elbow Surgeons(ASES)scale],shoulder mobility,inflammatory reaction[C reactive protein(CRP),transforming growth factor-β1(TGF-β1)and interleukin-6(IL-6)]and safety.Results Compared to control group,surgery time of the pilot group was shorter,the difference was statistically significant(P<0.05);Compared to before surgery,VAS score in two groups 6 months after surgery was lower,the pilot group was lower than that of control group,the differences were statistically significant(P<0.05);Constant-Murley scale,UCLA scale and ASES scale of pilot group 6 months after surgery were higher than those of control group,and the shoulder joint mobility 6 months after surgery was bigger than that of control group,the differences were statistically significant(P<0.05);CRP,TGF-β1,IL-6 3 days after surgery in two groups were higher than those before surgery,but the pilot group was lower than control group,the differences were statistically significant(P<0.05);Compared to control group(13.79%and 18.97%),the incidence of rotator cuff re-tear and joint stiffness were lower in the pilot group(3.45%and 3.45%),the differences were statistically significant(P<0.05).Conclusion The application of double-row suture bridge repair technique in patients with rotator cuff tear could shorten the operation time,reduce the postoperative inflammatory stress and pain,improve the shoulder mobility,restore the shoulder function,and reduce the occurrence of rotator cuff re-tear and joint stiffness.

Objective To evaluate the efficacy of shoulder arthroscopic double row suture bridge repair program in patients with rotator cuff tears.Methods 118 cases of rotator cuff tear patients admitted from September 2019 to July 2023 were selected,then they were divided in the control group and pilot group,each with 59 cases(the random number table method was used as the basis for dividing the groups),and each of two groups 1 case was lost,and finally 58 cases were included in each.Both underwent shoulder arthroscopic rotator cuff repair under general anesthesia,the control group was treated with single-row fixed suture,the pilot group was treated with double row suture bridge repair program,and were followed up for 6 months after surgery.Two groups were compared operative-related conditions,pain[visual analogue scale(VAS)score],shoulder function[the Constant-Murley scale,University of California at Los Angeles(UCLA)scale,American Shoulder and Elbow Surgeons(ASES)scale],shoulder mobility,inflammatory reaction[C reactive protein(CRP),transforming growth factor-β1(TGF-β1)and interleukin-6(IL-6)]and safety.Results Compared to control group,surgery time of the pilot group was shorter,the difference was statistically significant(P<0.05);Compared to before surgery,VAS score in two groups 6 months after surgery was lower,the pilot group was lower than that of control group,the differences were statistically significant(P<0.05);Constant-Murley scale,UCLA scale and ASES scale of pilot group 6 months after surgery were higher than those of control group,and the shoulder joint mobility 6 months after surgery was bigger than that of control group,the differences were statistically significant(P<0.05);CRP,TGF-β1,IL-6 3 days after surgery in two groups were higher than those before surgery,but the pilot group was lower than control group,the differences were statistically significant(P<0.05);Compared to control group(13.79%and 18.97%),the incidence of rotator cuff re-tear and joint stiffness were lower in the pilot group(3.45%and 3.45%),the differences were statistically significant(P<0.05).Conclusion The application of double-row suture bridge repair technique in patients with rotator cuff tear could shorten the operation time,reduce the postoperative inflammatory stress and pain,improve the shoulder mobility,restore the shoulder function,and reduce the occurrence of rotator cuff re-tear and joint stiffness.

Objective To construct a machine learning algorithm using biomarkers to predict the risk of sepsis-induced respiratory tract infection in order to assist clinicians in making decisions.Methods Based on the diagnostic criteria of the research subjects,and the basic clinical data of the participants were collected.The data set was randomly split into a training set(80％)and a validation set(20％).Use feature filtering algorithms to select the best subset of variables from the training set,and use this subset to construct random forest(RF),extreme gradient boosting(XGBoost),adaptive boosting(AdaBoost),Logistic regression(LR),ridge regression(Ridge),and support vector machine(SVM)classifiers.Then,evaluate the model's generalization ability using a validation dataset.Evaluate the performance of the model comprehensively through accuracy,precision,recall,and area under the curve.Results A total of 377 patients with sepsis-induced respiratory tract infection(case group)and 564 patients with respiratory tract infection(control group)were included,and 17 variables were found to be suitable for the initial model construction.Using feature screening algorithm,we found that the predictive performance of tree models(RF,XGboost,and AdaBoost)was better than that of linear models(LR,SVM,and Ridge).The AdaBoost model included 14 biomarkers,and its prediction accuracy was better than RF,XGBoost,LR,SVM,Ridge models,its precision,recall,accuracy and area under the curve were 0.90,0.84,91.75％and 0.950,respectively.The Ridge model had the worst prediction performance,with an accuracy of 82.97％,its precision,recall and area under the curve were 0.90,0.72 and 0.835 respectively.Conclusion In this study,six predictive models of sepsis-induced respiratory tract infection were developed,among which AdaBoost model could more accurately predict the risk of sepsis-induced respiratory tract infection and help to assist clinical decision-making.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

Objective:To establish a Zika virus-infected suckling SD rat model with type Ⅰ interferon receptor deficiency（SD-Ifnar1 -/-［cc］）and provide a novel animal model for investigating Zika virus pathogenesis and developing therapeutic strategies. Methods:Seventeen-day-old male SD-Ifnar1 -/-［cc］rat pups were randomly divided into experimental and control groups（ n=6）. The experimental group received an intraperitoneal injection of Zika virus strain SZ-wiv01（5×10 4 PFU/rat，200 μl），while the control group received an equal volume of phosphate-buffered saline（PBS）. Animals were euthanized via CO 2 asphyxiation on days 12 and 15 post-infection（dpi），and brain，spleen，liver，and testis tissues were harvested. Viral loads and cytokine expression levels were quantified using quantitative real-time PCR qRT-PCR），and histopathological evaluation was performed via HE staining. Results:qRT-PCR analysis revealed no detectable Zika virus RNA（Ct >35）in control tissues. In the experimental group，viral RNA（Ct <35）was detected in the brain，spleen，liver，and testis by day 12，with stable viral loads across tissues by day 15（ P>0.05）. Cytokine profiling demonstrated significant upregulation in the brain at day 12：IFN-β（5.58-fold， P<0.01），IL-6（7.11-fold， P<0.01），and CCL5（3.79-fold， P<0.01）. By day 15，these levels remained elevated（IFN-β：3.07-fold；IL-6：4.04-fold；CCL5：5.22-fold；all P<0.01）. In the liver，IFN-β mRNA decreased to 20% of the control level by day 15（ P<0.05），while IL-6 declined to 24% and CCL5 mRNA dropped to 38% by day 12. No significant cytokine changes were observed in the spleen（ P>0.05）. Testicular tissues exhibited reduced IFN-β mRNA levels（43% of control at day 12，31% at day 15； P<0.05）. Histopathological analysis revealed marked splenomegaly with disrupted splenic corpuscle architecture and lymphocyte depletion，significant inflammatory cell infiltration in hepatic portal areas，and testicular structural disorganization with inflammatory infiltration in Zika-infected rats. Conclusions:The SD-Ifnar1 -/-［cc］suckling rat model is successfully established and validated. This model recapitulates systemic Zika virus infection，tissue-specific pathology，and immune response dynamics，providing a robust platform for elucidating viral pathogenesis and advancing antiviral drug development.

Background and aim:A genome-wide association study has indicated the association of numerous genes in the 6p21.3 region with chronic hepatitis B virus(HBV)infection.In this study,we screened 12 representative single-nucleotide polymorphisms(SNPs)from the 6p21.3 region and investigated their association with the risk of chronic hepatitis B(CHB)to better understand the molecular etiology un-derlying CHB risk in the Han Chinese population. Methods:Between March 2021 and November 2022,we included 183 patients with CHB(case group)and 196 with natural HBV clearance(control group).Allele typing of the selected SNPs was performed using snapshot technology.The correlation between the 12 chosen SNPs and the risk of chronic HBV infection was examined using binary logistic regression analysis.Interacting genes of the variants were identified,and expression quantitative trait loci(eQTL)were analyzed using the 3DSNP database. Results:We validated 12 previously reported CHB susceptibility sites,including rs1419881 of tran-scription factor 19(TCF19),rs3130542 and rs2853953 of human leukocyte antigen(HLA)-C,rs652888 of euchromatic histone-lysine-methyltransferase 2(EHMT2),rs2856718,rs9276370,rs7756516,and rs7453920 of HLA-DQ,rs378352 of HLA-DOA,and rs3077,rs9277535,and rs9366816 of HLA-DP.Logistic regression analyses revealed that polymorphisms such as rs9276370,rs7756516,rs7453920,rs3077,rs9277535,and rs9366816 were positively correlated with natural HBV clearance in the dominant model.Conversely,rs3130542 and rs378352 were identified as risk factors for CHB.Haplotype analysis revealed that rs9276370,rs7756516,and rs7453920 in HLA-DQ were TTG and GCA haplotypes.Although the TTG haplotype was positively correlated with a higher risk of CHB,the GCA haplotype significantly influenced the natural clearance of HBV.Bioinformatics analysis demonstrated that rs378352,rs3077,and rs9366816 were located within enhancer states;rs3077 and rs9366816 overlapped with nine tran-scription factor-binding sites,whereas rs378352 altered five sequence motifs.Furthermore,eQTL analysis demonstrated the functional tendencies of eight statistically significant SNPs(rs3130542,rs9276370,rs7756516,rs7453920,rs378352,rs3077,rs9277535,and rs9366816). Conclusions:Genetic variations within the 6p21.3 region were associated with chronic HBV infection in the Han Chinese population in southern China.Furthermore,the GCA haplotype including rs9276370,rs7756516,and rs7453920 of HLA-DQ contributed significantly to natural HBV clearance,implying that multiple SNPs exert a cumulative allelic effect on HBV infection.

BACKGROUND: The clinical features of enthesitis in patients with psoriatic arthritis (PsA) have been reported in some Western countries, but data in China are very limited. This study aimed to describe the characteristics of enthesitis in Chinese patients with PsA and compared them with those in other cohorts. METHODS: Patients with PsA enrolled in the Chinese Registry of Psoriatic Arthritis (CREPAR) (December 2018 to June 2021) were included. Data including demographics, clinical characteristics, disease activity measures, and treatment were collected at enrollment. Enthesitis was assessed by the Spondyloarthritis Research Consortium of Canada (SPARCC), Maastricht ankylosing spondylitis enthesitis score (MASES), and Leeds enthesitis index (LEI) indices. A multivariable logistic model was used to identify factors related to enthesitis. We also compared our results with those of other cohorts. RESULTS: In total, 1074 PsA patients were included, 308 (28.7%) of whom had enthesitis. The average number of enthesitis was 3.3 ± 2.8 (range: 1.0-18.0). More than half of the patients (165, 53.6%) had one or two tender entheseal sites. Patients with enthesitis had an earlier age of onset for both psoriasis and arthritis, reported a higher proportion of PsA duration over 5 years, and had a higher percentage of axial involvement and greater disease activity. Multivariable logistic regression showed that axial involvement (odds ratio [OR] 2.21, 95% confidence interval [CI], 1.59-3.08; P <0.001), psoriasis area and severity index (PASI) (OR: 1.03, 95% CI: 1.01-1.04; P = 0.002), and disease activity score 28-C reactive protein (DAS28-CRP) (OR: 1.25, 95% CI: 1.01-1.55; P = 0.037) were associated with enthesitis. Compared with the results of other studies, Chinese patients with enthesitis had a younger age, lower body mass index (BMI), a higher rate of positive human leukocyte antigen (HLA)-B27, more frequent dactylitis, and a higher proportion of conventional synthetic disease-modifying antirheumatic drugs' (csDMARDs) use. CONCLUSIONS Enthesitis is a common condition among Chinese patients with PsA. It is important to evaluate entheses in both peripheral and axial sites.
Humans ; Arthritis, Psoriatic/drug therapy* ; East Asian People ; Enthesopathy/complications* ; Registries ; Severity of Illness Index ; Spondylarthritis/epidemiology*