Periampullary carcinoma is a malignant tumor of the biliopancreatic system originating from the ampulla of Vater， with the main pathological subtypes of intestinal-type and pancreatobiliary-type adenocarcinoma. Primary periampullary squamous cell carcinoma is relatively rare in clinical practice， with great difficulties in preoperative diagnosis and a lack of clinical experience and standardized diagnosis and treatment regimens. This article reports a case of primary periampullary squamous cell carcinoma in a male patient aged 55 years. The patient was admitted due to cutaneous and scleral jaundice for 2 weeks. Laboratory examination revealed obstructive jaundice， impaired liver function， and an increase in carbohydrate antigen 19-9， and radiological examination showed obstruction of the distal common bile duct and a space-occupying lesion in the ampullary region， leading to a preliminary clinical diagnosis of periampullary carcinoma of Vater. After admission， endoscopic retrograde cholangiopancreatography was first performed to relieve obstructive jaundice， and then biopsy of the ampullary lesion was conducted， with pathological findings highly suspicious for malignancy. Radical pancreaticoduodenectomy was performed after improvement in liver function， and postoperative pathology confirmed the diagnosis of moderately differentiated squamous cell carcinoma of the ampulla. PET-CT reexamination on day 52 after surgery showed well-healed surgical anastomosis and multiple hypermetabolic nodules in the right hepatic lobe， which could not rule out tumor metastasis. This case report can provide a reference for improving awareness of this rare disease and optimizing related diagnosis and treatment decisions in clinical practice.

Objective To construct and validate a nomogram model based on early clinical features to predict the risk of in-hospital cardiac arrest (IHCA) in patients with acute myocardial infarction (AMI). Methods A total of 152 AMI patients who were admitted to Beijing Friendship Hospital, Capital Medical University from January 2013 to December 2023 and experienced IHCA were retrospectively enrolled (IHCA group), with 608 contemporaneous AMI patients free of IHCA matched as the control gropu at a 4∶1 ratio (non-IHCA group). Patients were randomly divided into a training set and a validation set at a 7∶3 ratio. LASSO regression and multivariable logistic regression were used for variable selection and model construction in the training set. A nomogram was constructed based on the final model, and its performance was evaluated in the training set and validation set. Results The proportion of patients with Killip class≥Ⅱ was higher in the IHCA group than that in the non-IHCA group in both the training set and validation set (89.6% vs 34.0%, 95.7% vs 36.3%; P＜0.001). The final model included nine variables: troponin T, triiodothyronine (T₃) uptake, blood glucose, pulmonary artery systolic pressure (PASP), total bilirubin, estimated glomerular filtration rate (eGFR), eosinophil percentage, pre-hospital β-blocker use, and in-hospital P2Y12 inhibitor use. The nomogram model achieved an AUC of 0.975 (95%CI 0.963–0.985) in the training set and 0.959 (95%CI 0.932–0.981) in the validation set, higher than the global registry of acute coronary event (GRACE) score in both datasets (P＜0.001). Conclusion A nomogram model established based on early clinical indicators at admission could provide reference for predicting the risk of IHCA in patients with AMI.

Objective To construct a prognostic model of future asthma exacerbation risk in adults by com-bining novel biomarkers of serum chitinase-3-like protein 1(YKL-40),dipeptidyl peptidase-4(DPP4)and conventional predictors.Methods Patients with asthma in the non-acute exacerbation phase were recruited from the People's Hospital of Yubei District of Chongqing,from March 2022 to May 2023.Baseline clinical da-ta collected included medical history,forced expiratory volume in the first second(FEV1)/forced vital capacity(FVC),percentage of predicted forced expiratory volume in the first second(FEV1％pred),blood eosinophil count(EOS),blood neutrophil count(NEU),fractional exhaled nitric oxide(FeNO),serum YKL-40,and ser-um DPP4,etc.The patients were followed for one year to gather data on asthma acute exacerbations and their timings as defined in this study.A COX proportional hazards regression model was used to construct a prog-nostic model for future asthma exacerbations,with internal validation and results presentation.Results A to-tal of 224 patients with asthma completed the study.During the one-year follow-up period,102 patients experi-enced acute exacerbations as defined in this study.Based on univariate COX regression,stepwise regression for variable selection,clinical significance,and model simplicity,asthma control test(ACT)score group,number of asthma exacerbations in the past year group,log10(YKL-40),log10(FeNO),log10(EOS),and FEV1％pred were the following predictors were included in the final model.The overall C-statistic of the model was 0.795(95％CI:0.754-0.836),the area under the curve at the 52-week follow-up was 0.879(95％CI:0.834-0.924),and the Brier score at the 52-week follow-up was 0.142(95％CI:0.117-0.168).The calibration curve was close to a slope of 1,and bootstrap validation suggested good stability of the prediction model.The model was presented using a Nomogram and a dynamic scoring table in a web APP,which can be used to predict the risk of asthma exacerbations within 52 weeks for individual patients.Conclusion The prediction model based on serum YKL-40,EOS,FeNO,the number of asthma exacerbation in the past year group,FEV1％pred and ACT scores group can accurately predict the probability of acute attacks in 52 weeks of asthma patients.

Objectives:To explore the relationship between plasma big endothelin-1(Big ET-1)level and left ventricular(LV)remodeling assessed by cardiac magnetic resonance(CMR)in patients with hypertrophic obstructive cardiomyopathy(HOCM).Methods:A total of 180 consecutive HOCM patients were enrolled from November 2013 to July 2015 in Fuwai Hospital,Chinese Academy of Medical Sciences.The baseline characteristics of the patients were collected and the plasma Big ET-1 levels were measured.According to LV remodeling index(LVRI),the patients were divided into severe remodeling group(LVRI>1.3 g/ml,n=119)and mild remodeling group(LVRI≤1.3 g/ml,n=61).The Pearson correlation analysis and multivariate logistic regression analysis were conducted to assess the correlations between plasma Big ET-1 level and indicators of LV remodeling.Results:Compared to the mild remodeling group,the plasma Big ET-1 level([0.84±0.30]pmol/L vs.[0.41±0.19]pmol/L),LVRI([1.7±0.3]g/ml vs.[1.1±0.1]g/ml),the extent of late gadolinium enhancement(LGE)([16.8±8.9]g vs.[7.0±6.6]g)were significantly higher in the severe remodeling group(all P<0.001).Pearson correlation analysis revealed that in patients with HOCM,plasma Big ET-1 level were positively correlated with left atrial anteroposterior diameter,interventricular septal thickness(IVS),LV mass(LVM),LVRI,LGE and LV outflow tract(LVOT)gradient and negatively correlated with LV ejection fraction(all P<0.05).Multivariate logistic regression analysis showed that LVM(OR=1.037,95% CI:1.019-1.056,P<0.001)and plasm Big ET-1 level(OR=11.461,95% CI:2.264-58.014,P=0.003)were the independent determinants for severe LV remodeling in HOCM patients.Conclusions:Among patients with HOCM,the plasma Big ET-1 level are markedly higher in those with severe LV remodeling and are positively associated with left atrial anteroposterior diameter,IVS,LVRI,LVM,LVOT gradient and LGE.Elevated Big ET-1 level and LVM are independent determinants of severe LV remodeling in HOCM patients.

Objective To investigate the relationship between the peak levels of N-terminal pro-B-type natriuretic peptide(NT-proBNP)during hospitalization and the risk of left ventricular ejection fraction(LVEF)＜50％during the recovery period in pa-tients with acute myocardial infarction(AMI).Methods This retrospective cohort study included 220 AMI patients treated at Beijing Friendship Hospital,Capital Medical University from January 2018 to December 2023.The patients were divided into three groups accord-ing to the tripartite value of peak levels of NT-proBNP during hospitalization.Baseline clinical characteristics,laboratory test results,and peak levels of NT-proBNP were collected.The primary outcome was LVEF＜50％during the recovery period.By incorporating con-founding factors,three stepwise complex Logistic regression model and linear regression model were used to analyze the relationship be-tween peak levels of NT-proBNP and the risk of LVEF＜50％.Restricted cubic spline(RCS)was used to explore the nonlinear relation-ship between them.Results The peak levels of NT-proBNP were positively correlated with an increased risk of LVEF＜50％during the recovery period,even after adjusting for confounding factors.RCS analysis revealed the nonlinear relationships between them.When the peak levels of NT-proBNP was 1822.991pg/ml,the sensitivity and specificity of predicting LVEF＜50％were 57.14％and 70.97％.Conclusion The NT-proBNP peak levels of 1822.991 pg/ml is a useful indicator for predicting LVEF＜50％in AMI pa-tients during the recovery period,and it can be used to identify high-risk AMI groups and provide basis for early active intervention.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Objective:To investigate the clinical characteristics and independent risk factors of severe disease in patients with anti-nuclear matrix protein (NXP) 2 antibody-positive juvenile dermatomyositis (JDM).Methods:A retrospective cohort study was conducted, including 219 anti-NXP2 antibody-positive JDM patients admitted to 23 children′s hospitals across China from July 2011 to July 2023. Patients were classified into severe and non-severe groups based on classification criteria for severe dermatomyositis. Demographic characteristics, clinical manifestations, and laboratory parameters were compared between the 2 groups using independent sample t-test, Mann-Whitney U test, or χ2 test. Univariate and multivariate Logistic regression analyses were performed to identify risk factors for severe disease. The receiver operating characteristic curve was employed to calculate optimal cut-off values. Results:Among the 219 patients, 108 were male and 111 were female, with an age at onset of 6.3 (3.5, 9.4) years. The severe group comprised 69 patients, and the non-severe group 150 patients. The severe group had significantly higher rates of fever, heliotrope rash, subcutaneous edema, periorbital edema, anti-Ro52 antibody positivity, as well as elevated levels of ferritin-to-albumin ratio (FAR), creatine kinase (CK), aspartate aminotransferase (AST), and lactate dehydrogenase (LDH) (all P<0.05). Multivariate analysis identified anti-Ro52 antibody positivity ( OR=13.26, 95% CI 1.37-128.29) and elevated FAR ( OR=1.90, 95% CI 1.09-2.31) as independent risk factors for severe anti-NXP2 antibody-positive JDM (both P<0.05). Receiver operating characteristic curve analysis revealed that a FAR cutoff value of 6.82 predicted severe disease with an area under the curve of 0.87 (95% CI 0.81-0.94, P<0.001), sensitivity of 0.85, and specificity of 0.70. All patients received glucocorticoid therapy, and the severe group received higher proportions of steroid pulse therapy, cyclophosphamide, mycophenolate mofetil, intravenous immunoglobulin, biologics, and adjuvant treatments compared to the non-severe group (all P<0.05). In terms of outcomes, 2 patients (2.9%) in the severe group died (due to neurological involvement and intestinal perforation, respectively), while the remaining patients achieved complete clinical response or remission. All patients in the non-severe group achieved remission. Conclusions:The primary clinical features of anti-NXP2 antibody-positive JDM included fever, heliotrope rash, subcutaneous edema, periorbital edema, anti-Ro52 antibody positivity, and elevated levels of CK, AST, LDH, and FAR. Furthermore, anti-Ro52 antibody positivity and a FAR>6.82 were identified as independent risk factors.

Objective To investigate the relationship between the peak levels of N-terminal pro-B-type natriuretic peptide(NT-proBNP)during hospitalization and the risk of left ventricular ejection fraction(LVEF)＜50％during the recovery period in pa-tients with acute myocardial infarction(AMI).Methods This retrospective cohort study included 220 AMI patients treated at Beijing Friendship Hospital,Capital Medical University from January 2018 to December 2023.The patients were divided into three groups accord-ing to the tripartite value of peak levels of NT-proBNP during hospitalization.Baseline clinical characteristics,laboratory test results,and peak levels of NT-proBNP were collected.The primary outcome was LVEF＜50％during the recovery period.By incorporating con-founding factors,three stepwise complex Logistic regression model and linear regression model were used to analyze the relationship be-tween peak levels of NT-proBNP and the risk of LVEF＜50％.Restricted cubic spline(RCS)was used to explore the nonlinear relation-ship between them.Results The peak levels of NT-proBNP were positively correlated with an increased risk of LVEF＜50％during the recovery period,even after adjusting for confounding factors.RCS analysis revealed the nonlinear relationships between them.When the peak levels of NT-proBNP was 1822.991pg/ml,the sensitivity and specificity of predicting LVEF＜50％were 57.14％and 70.97％.Conclusion The NT-proBNP peak levels of 1822.991 pg/ml is a useful indicator for predicting LVEF＜50％in AMI pa-tients during the recovery period,and it can be used to identify high-risk AMI groups and provide basis for early active intervention.