Objective: To analyze the school tuberculosis (TB) outbreaks and preventive treatment in Hefei from 2022 to 2024, so as to provide reference for TB prevention and control in schools. Methods: Data were collected on all school based TB outbreaks occurring during 2022-2024 in Hefei, defined as ≥2 epidemiologically linked TB cases within the same school during a single semester. Statistical analyses were performed using the Chi square test. Results: Close contacts exhibited significantly higher TB incidence (2.88%) and latent mycobacterium tuberculosis infection (LTBI) rates (13.80%) in the school TB outbreaks, compared to non close contacts (0.12% and 2.63%, respectively). Among close contacts, secondary school students showed lower TB incidence (0.48%) and LTBI prevalence (3.42%) than both primary school or younger children (0.68%, 6.95%) and college students ( 0.78% , 6.50%), with statistically significant differences ( χ 2=360.91, 6.37; 791.71, 102.03, all P <0.05). The proportion of LTBI individuals recommended for preventive therapy was higher in primary school or younger groups (98.59%) than in secondary (95.25%) or college students (86.34%) ( χ 2=25.86, P <0.01). However, among those recommended, close contacts had higher uptake (85.82%) and completion rates (87.25%) of preventive therapy than non close contacts (69.63% and 70.57%); similarly, secondary school students demonstrated higher uptake (91.21%) and completion rates (86.45%) compared to primary school or younger (88.57%, 83.87%) and college students (57.28%, 64.08%) ( χ 2=30.52, 26.72; 125.17, 38.84, all P <0.01). Subsequent TB incidence among LTBI close contacts (13.30%) and among those who did not complete preventive therapy (22.73%) were significantly higher than among non close contacts (2.80%, 2.41%), respectively ( χ 2=32.19, 13.87, both P <0.05). Conclusions In school TB outbreaks, close contacts face higher LTBI prevalence and subsequent TB risk than non close contacts. College students show notably low adherence to preventive therapy. It is necessary to take targeted measures to improve the compliance of preventive measures among students.

OBJECTIVE:Based on different algorithms of machine learning,the prediction model of lumbar disc herniation has become a trend and hot spot in the development of precision medicine.However,there is limited evidence on the reporting quality and methodological quality of prediction models of lumbar disc herniation outcomes using machine learning.This article is aimed to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation by comprehensively analyzing the report quality and risk of bias of previous studies that developed and validated prognosis prediction models based on machine learning through a comprehensive literature search,in order to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation.METHODS:The databases of CNKI,WanFang,VIP,SinOMED,PubMed,Web of Science,Embase,and The Cochrane Library were searched by computer.Studies on the use of machine learning to develop(and/or validate)prognostic prediction models for lumbar disc herniation were collected from the inception of the database to December 31,2023.Two researchers independently screened the literature,extracted data,and assessed the risk of bias of the included studies.The reporting quality and risk of bias of the included studies were assessed by the Multivariable Transparent Reporting of Predictive Models(TRIPOD)statement and the Predictive Model Risk of Bias Assessment Tool(PROBAST).The results of the evaluation were analyzed using descriptive statistics and visual charts.RESULTS:(1)A total of 23 articles were included,and the TRIPOD compliance of each study ranged from 11％to 87％,with a median compliance of 54％.The quality of reporting of titles,detailed descriptions of treatment measures,blinding of predictors,handling of missing data,details of risk stratification,specific procedures for enrollment,model interpretation,and model performance was mostly poor,with TRIPOD adherence rates ranging from 4％to 35％.(2)Of all included studies,61％had a high risk of bias and 39％had an unclear overall risk of bias.The area under the curve,accuracy,sensitivity and specificity were used to evaluate the performance of the model.The areas under the curve of 20 models were reported,ranging from 0.561 to 0.999.Three models reported the accuracy of the model,ranging from 82.07％to 89.65％.(3)Among all included studies,the statistical analysis domain was most often assessed as having a high risk of bias,mainly due to the small number of valid samples,the selection of predictors based on univariate analysis and the lack of calibration and discrimination assessment of the model in the study.CONCLUSION:These results indicate that machine learning can achieve good predictive ability in the development and validation of prognostic models for lumbar disc herniation.The commonly used algorithms include regression algorithm,support vector machine,decision tree,random forest,artificial neural network,naive Bayes and other algorithms.Reasonable algorithms combined with clinical practice can improve the accuracy of prognosis prediction of lumbar disc herniation.However,the reporting and methodological quality of prognosis prediction models based on machine learning are poor,the prediction performance of different models varies greatly,and the generalization and extrapolation of research models are unclear.There is an urgent need to improve the design,implementation and reporting of such studies.To promote the application of machine learning in the clinical practice of lumbar disc herniation prediction models,it is necessary to comprehensively consider various predictors related to the prognosis of the disease before modeling,and strictly follow the relevant standards of PROBAST tool during modeling.

OBJECTIVE:Based on different algorithms of machine learning,the prediction model of lumbar disc herniation has become a trend and hot spot in the development of precision medicine.However,there is limited evidence on the reporting quality and methodological quality of prediction models of lumbar disc herniation outcomes using machine learning.This article is aimed to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation by comprehensively analyzing the report quality and risk of bias of previous studies that developed and validated prognosis prediction models based on machine learning through a comprehensive literature search,in order to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation.METHODS:The databases of CNKI,WanFang,VIP,SinOMED,PubMed,Web of Science,Embase,and The Cochrane Library were searched by computer.Studies on the use of machine learning to develop(and/or validate)prognostic prediction models for lumbar disc herniation were collected from the inception of the database to December 31,2023.Two researchers independently screened the literature,extracted data,and assessed the risk of bias of the included studies.The reporting quality and risk of bias of the included studies were assessed by the Multivariable Transparent Reporting of Predictive Models(TRIPOD)statement and the Predictive Model Risk of Bias Assessment Tool(PROBAST).The results of the evaluation were analyzed using descriptive statistics and visual charts.RESULTS:(1)A total of 23 articles were included,and the TRIPOD compliance of each study ranged from 11％to 87％,with a median compliance of 54％.The quality of reporting of titles,detailed descriptions of treatment measures,blinding of predictors,handling of missing data,details of risk stratification,specific procedures for enrollment,model interpretation,and model performance was mostly poor,with TRIPOD adherence rates ranging from 4％to 35％.(2)Of all included studies,61％had a high risk of bias and 39％had an unclear overall risk of bias.The area under the curve,accuracy,sensitivity and specificity were used to evaluate the performance of the model.The areas under the curve of 20 models were reported,ranging from 0.561 to 0.999.Three models reported the accuracy of the model,ranging from 82.07％to 89.65％.(3)Among all included studies,the statistical analysis domain was most often assessed as having a high risk of bias,mainly due to the small number of valid samples,the selection of predictors based on univariate analysis and the lack of calibration and discrimination assessment of the model in the study.CONCLUSION:These results indicate that machine learning can achieve good predictive ability in the development and validation of prognostic models for lumbar disc herniation.The commonly used algorithms include regression algorithm,support vector machine,decision tree,random forest,artificial neural network,naive Bayes and other algorithms.Reasonable algorithms combined with clinical practice can improve the accuracy of prognosis prediction of lumbar disc herniation.However,the reporting and methodological quality of prognosis prediction models based on machine learning are poor,the prediction performance of different models varies greatly,and the generalization and extrapolation of research models are unclear.There is an urgent need to improve the design,implementation and reporting of such studies.To promote the application of machine learning in the clinical practice of lumbar disc herniation prediction models,it is necessary to comprehensively consider various predictors related to the prognosis of the disease before modeling,and strictly follow the relevant standards of PROBAST tool during modeling.

BACKGROUND:Degenerative scoliosis is defined as a condition that occurs in adulthood with a coronal cobb angle of the spine>10° accompanied by sagittal deformity and rotational subluxation,which often produces symptoms of spinal cord and nerve compression,such as lumbar pain,lower limb pain,numbness,weakness,and neurogenic claudication.The finite element method is a mechanical analysis technique for computer modelling,which can be used for spinal mechanics research by building digital models that can realistically restore the human spine model and design modifications. OBJECTIVE:To review the application of finite element method in the etiology and treatment of degenerative scoliosis. METHODS:The literature databases CNKI,PubMed,and Web of Science were searched for articles on the application of finite element method in degenerative scoliosis published before October 2023.Search terms were"finite element analysis,biomechanics,stress analysis,degenerative scoliosis,adult spinal deformity"in Chinese and English.Fifty-four papers were finally included. RESULTS AND CONCLUSION:(1)The biomechanical findings from the degenerative scoliosis model constructed using the finite element method were identical to those from the in vivo experimental studies,which proves that the finite element method has a high practical value in degenerative scoliosis.(2)The study of the etiology and treatment of degenerative scoliosis by the finite element method is conducive to the prevention of the occurrence of the scoliosis,slowing down the progress of the scoliosis,the development of a more appropriate treatment plan,the reduction of complications,and the promotion of the patients'surgical operation.(3)The finite element method has gradually evolved from a single bony structure to the inclusion of soft tissues such as muscle ligaments,and the small sample content is increasingly unable to meet the research needs.(4)The finite element method has much room for exploration in degenerative scoliosis.

Objective To compare the clinical efficacy of intraoperative intravenous tirofiban versus preoperative loading dose dual antiplatelet therapy in the acute phase LVIS stent-assisted coil embolization treatment for ruptured wide-necked intracranial aneurysms.Methods Patients with acutely ruptured,wide-neck intracranial aneurysms underwent LVIS stent-assisted coil embolization in the Department of Neurosurgery at Heze Municipal Hospital were retrospectively and consecutively enrolled from January 2017 to June 2023.According to the Chinese expert consensus on antiplatelet therapy for intracranial aneurysms,patients were divided into two groups based on the types of antiplatelet therapy they received:the loading-dose dual antiplatelet therapy(DAPT)group and the tirofiban group.Baseline and clinical data were collected and compared between the two groups,including age,sex,hypertension,diabetes mellitus,coronary artery disease,history of cerebral hemorrhage,preoperative Hunt-Hess grade,maximum aneurysm diameter,aneurysm neck width,and aneurysm location.Perioperative ischemic and hemorrhagic complications were collected and compared between the two groups.Perioperative ischemic complications included:intraoperative stent thrombosis(defined as filling defects in the parent artery,and,occlusion of the parent artery or stented branch during the procedure),and symptomatic ischemic infarction within 24 h postoperatively(confirmed by imaging with corresponding neurological deficits).Perioperative hemorrhagic complications included:intraoperative rupture of the target aneurysm(contrast extravasation or acute hemorrhage during embolization)and intracranial hemorrhage within 24 h postoperatively(new or worsened subarachnoid hemorrhage or intraparenchymal hemorrhage on CT).Clinical outcomes at 90 days were collected via telephone or outpatient follow-up,and evaluated using favorable prognosis defined as modified Rankin scale(mRS).A mRS score of 0-2 were defined as favorable prognosis and 3-6 as poor prognosis.Six-month postoperative imaging follow-up were collected,angiographic outcomes were categorized into four groups based on comparison with immediate post-embolization results:complete occlusion,total absence of contrast filling in the aneurysm sac;improved,reduced contrast filling;stable,unchanged contrast filling;and,recurrence,increased contrast filling.Results Totals of 108 patients with intracranial aneurysms treated by LVIS stent-assisted coiling were enrolled,with 30 males and 78females,aged32-75years(median age63[50,66]years).Among the108cases,55cases were assigned into the DAPT group,and 53 cases were included in the tirofiban group.(1)No statistically significant differences were observed between the tirofiban group and the DAPT group in baseline and clinical characteristics(all P＞0.05).(2)All patients underwent successful LVIS stent-assisted coiling,with a technical success rate of 100%.The total perioperative ischemic complications were 12.0%(13/108),including 4.6%(5/108)intraoperative stent thrombosis and 7.4%(8/108)symptomatic ischemic infarction within 24h after surgery.The total perioperative hemorrhagic complications rate was 1.9%(2/108),including 1 case of intraoperative aneurysm rupture and 1 case of postoperative intracranial hemorrhage within24h.92.6%(100/108)of the patients exhibited favorable prognosis and 7.4%(8/108)showed poor prognosis at the 90-day follow-ups.78.7%(85/108)of the patients accomplished at 6-month imaging follow-ups,the complete occlusion ratio was 94.1%(80/85)and the recurrence ratio was 2.4%(2/85).(3)The overall perioperative ischemic complication rates were 13.2%(7/53)in the tirofiban group and 10.9%(6/55)in the DAPT group,with no statistically significant difference(P=0.720).Intraoperative stent thrombosis occurred more frequently in the DAPT group(9.1%[5/55]vs.0,P=0.025),while symptomatic ischemic infarction within 24 h post-procedure was lower in the DAPT group(1.8%[1/55]vs.13.2%[7/53],P=0.028).The hemorrhagic complications occurred only in the DAPT group,with a rate of 3.6%(2/55),while no events observed in the tirofiban group.At the 90-day follow-up,the proportion of patients with favorable outcomes was 94.3%(50/53)in the tirofiban group and 90.9%(50/55)in the DAPT group,with no statistically significant difference between the groups(P=0.754).Conclusions Both intraoperative intravenous tirofiban and preoperative loading-dose DAPT demonstrated comparable safety profile and favorable clinical efficacy in the acute-phase treatment of ruptured wide-necked intracranial aneurysms with LVIS stent-assisted coil embolization.The results require further validation through large-scale prospective studies.

This study was aimed at analyzing the biotypes and genetic diversity characteristics of five non-major Brucella species,to provide a scientific basis for understanding the species diversity of Brucella and strengthening pathogen monitoring and control.According to the biotypes(species,hosts,isolation locations,and time)and MLVA-16 genotypes(MLVA-16 lo-cus data,MLVA-11 genotypes)of five non-major pathogenic Brucella in the international MLVA database,we used Bionu-merics 8.0 software and PHYLOVIZ2.0 online software to analyze the geographical origin and genetic diversity characteristics of strains.A total of 227 strains were studied,including 121 Brucella ceti,47 B.pinnipedialis,37 Brucella ovis,11 B.mi-croti,and Brucella neotomae.The greatest host diversity was observed for B.ceti,followed by B.pinnipedialis and B.mi-croti.B.ceti was distributed in European and South American countries;B.pinnipedialiswas distributed in Europe;and B.microti.was distributed in the Czech Republic,Austria,and Hungary in Central Europe.B.ovis was widely distributed in Af-rica,Argentina,Australia,Brazil,Greece,the United States,Spain,and France.The MLVA-11 genotypes of different types of Brucella showed high polymorphism and large differences,thus suggesting that the strains have different geographical ori-gins.MST analysis indicated that the studied strains were divided into four branches(BCⅠ-Ⅳ),among which B.ceti was di-vided into two different branches(BC-Ⅰ and BC-Ⅱ),the strains of other types formed different branches(or sub-branches),and the strains of different types showed clear regional and dominant host characteristics.Genetic correlation analysis of strains of the Brucella genus revealed that non-major pathogenic Brucella had clear genetic,distribution,and host spectrum differ-ences with respect to four classical pathogenic Brucella species.Five non-major pathogenic Brucella strains presented unique genetic evolutionary patterns,geographical distributions,and host tropism characteristics,thereby providing new insight for understanding the biological and genetic diversity of those Brucella strains.

Objective To evaluate the efficacy and safety of a novel intravascular lithotripsy(IVL)balloon—Vesscrack shockwave balloon—for vascular preparation before stent implantation in patients with severe coronary artery calcification(CAC).Methods This was a prospective,single-arm,multicenter study conducted in China from June 2022 to October 2022.Patients with severe CAC were treated with the Vesscrack shockwave balloon for lesion preparation,followed by drug-eluting stent(DES)implantation.Of these,33 patients underwent optical coherence tomography(OCT).The primary endpoint was procedural success,defined as successful stent implantation with residual stenosis≤30％and the absence of in-hospital major adverse events,including cardiac death,target vessel-related myocardial infarction,or target lesion revascularization.Results A total of 170 patients[mean age:(65.9±7.9)years,116 males]were enrolled.After treatment with IVL and DES,the minimum lumen diameter increased significantly compared to baseline[(2.34±0.40)mm vs.(0.95±0.33)mm,P＜0.001],the degree of stenosis was significantly reduced[(13.24±6.60)％vs.(65.18±10.59)％,P＜0.001].Procedural success was achieved in 100％of cases,and device success was 98.8％.The 30-day patient-related cardiovascular clinical composite endpoint(POCE)rate was 0.0,with no target lesion failure,no confirmed or potential thrombotic events were observed.The shockwave energy generator demonstrated excellent stability and ease of use.Among the 33 patients assessed with OCT,after IVL intervention,the maximum calcified area of the lumen[(3.51±1.51)mm2 vs.(2.85±1.80)mm2,P＜0.001],and the minimum lumen area within the target lesion[(3.08±1.04)mm2 vs.(2.02±0.75)mm2,P＜0.001],and after DES intervention,the luminal area of the largest calcified site[(6.59±1.64)mm2 vs.(2.85±1.80)mm2,P＜0.001]and the minimum luminal area within the target lesion[(6.19±1.45)mm2 vs.(2.02±0.75)mm2,P＜0.001]were significantly increased,and the differences were statistically significant.Conclusions The Vesscrack shockwave balloon is effective and safe for vascular preparation in patients with severe CAC prior to stent implantation.It achieves significant calcified plaque modification,high procedural success rates,and minimal complications.

The detection rate of carbapenem-resistant Enterobacter cloacae(CRECL)in clinical practice has risen steadily in recent years,and it has become one of the main pathogens of hospital-acquired infections.CRECL resistance is primarily driven by carbapenemase-encoding genes(CEG),which can spread through multiple mechanisms under the selective pressure of antibiotics and other environmental factors.This gene transfer significantly hampers antimicrobial treatment and infection control efforts.This review outlines the current understanding of CEG distribution in CRECL,key transmission pathways,and their public health im-plications.The findings aim to support the development of effective strategies for the prevention and manage-ment of CRECL infections.

Objective Explore the correlation among difference of skin temperature(ΔT)between proximal and distal ends,peripheral serum indicators and cardiac function,to screen the influencing factors of the main syndrome of"reverse coldness of limbs"in Sini decoction.Methods The clinical data of 134 critically ill patients who visited the emergency department of the Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine from January 2022 to September 2023 were collected,including echocardiographic indicators[ejection fraction(EF),anterior-posterior diameter of the aortic sinus,left atrial anterior-posterior diameter,right ventricle left-right diameter,right atrial left-right diameter,left ventricular diastolic end anterior-posterior diameter,interventricular septum thickness,left ventricular posterior wall thickness,left ventricular posterior wall movement amplitude,main pulmonary artery inner diameter,pulmonary artery valve flow velocity,aortic valve flow velocity,mitral valve flow velocity,pulmonary artery systolic pressure],blood routine[white blood cell count(WBC),red blood cell count(RBC),platelet count(PLT),hemoglobin(Hb)],myocardial markers[troponin(cTnI,cTnT),MB isoenzyme of creatine kinase(CK-MB),myoglobin(MYO),N-terminal pro-brain natriuretic peptide(NT-proBNP)],D-dimer,blood gas analysis[pH value,arterial oxygen partial pressure(PaO2),arterial partial pressure of carbon dioxide(PaCO2),lactic acid(Lac),arterial oxygen saturation(SaO2)],coagulation function indicators[prothrombin time(PT),activated partial thromboplastin time(APTT),thrombin time(TT),international normalized ratio(INR),fibrinogen(Fib)],infection indicators[C-reactive protein(CRP),procalcitonin(PCT)],biochemical indicators[K+,Na+,Cl-,Ca2+,P3+,total protein(TP),albumin(Alb),aspartate aminotransferase(AST),creatine kinase(CK),α-hydroxybutyrate dehydrogenase(α-HBDH),lactate dehydrogenase(LDH),urea,creatinine(Cr),uric acid(UA)],mean arterial pressure(MAP),and the top 10 disease types.These data were used as independent variables,and the ΔT value was used as the dependent variable for univariate linear regression analysis.Variables with statistically significant differences in the univariate analysis were subjected to multivariate linear regression analysis to identify the influencing factors causing an increase in the ΔT value.Results The univariate analysis analysis showed that variables such as shock,MAP,WBC,MYO,Lac,PT,APTT,TT,CRP,K+,P3+,Alb,urea,Cr,right ventricular left-right diameter,left ventricular posterior wall motion amplitude,main pulmonary artery diameter,pulmonary artery valve velocity,and aortic valve velocity were all risk factors influencing the increase of ΔT between the left axilla and the left hand in critically ill patients(all P<0.05);shock,respiratory failure,MAP,WBC,cTNI,MYO,Lac,PT,APTT,TT,CRP,Ca2+,P3+,Alb,urea,Cr,right ventricular left-right diameter,interventricular septum motion amplitude,left ventricular posterior wall motion amplitude,and main pulmonary artery inner diameter were all risk factors influencing the increase of ΔT between the left axilla and the left foot in critically ill patients(all P<0.05).Multivariate linear regression analysis showed that APTT,Lac,right ventricular left and right diameters,and urea were independent risk factors for the increase of ΔT in the left axilla and left hand[95%confidence interval(95%CI)was 0.016-0.036,0.024-0.095,-0.031 to-0.003,0.002-0.029,respectively;P values were 0.000,0.001,0.015,0.028,respectively],while PT,right ventricular left and right diameters,interventricular septal motion amplitude,and MYO were independent risk factors for the increase of ΔT left axilla and left foot(95%CI was 0.023-0.178,-0.103 to-0.019,0.031-0.245,0.000-0.002,respectively;P values were 0.012,0.006,0.013,0.015,respectively).Conclusion APTT,PT,Lac,MYO,urea,the right ventricular diameter and interventricular septal motion amplitude are key factors affecting the ΔT value of critically ill patients,which can cause reverse coldness of limbs.

A throat swab sample from a pediatric case in Tongzhou District, Beijing was identified as enterovirus; the patient was a 1-year-and-8-month-old male sporadic case. Whole-genome sequencing revealed a viral genome length of 7 436 bp. BLAST alignment confirmed the serotype as EV-D68. Phylogenetic analysis of the whole genome indicated that this strain belongs to the B3 clade, showing closer genetic proximity to the 2018 Shanghai strain MW697453 with 99.53% whole-genome nucleotide homology. Genetic and amino acid variation analysis demonstrated that the B3 subclade to which this strain belongs exhibits a nucleotide deletion at positions 718–726, differing from deletion sites observed in other B3 clade strains. A key neuropathogenic amino acid site, T650A, was found to have undergone mutation. Recombination analysis confirmed no cross-clade recombination events in this strain. This study conducted genetic characterization of the strain's evolutionary relationship with EV-D68 strains from different regions and years in China, providing data support for formulating prevention and control measures against EV-D68 infection.