Didangtang is a classic formula for treating blood stasis and heat， as recorded in the Treatise on Febrile Diseases， and it has been highly praised by medical practitioners throughout history. It has been recorded in many traditional Chinese medical texts and used to this day. This article comprehensively examined the records of Didangtang in different ancient versions of Treatise on Febrile Diseases by excavating and sorting out related ancient medical books and modern literature. It also investigated the dosage unit measurement， preparation method， and content of the formula in medical books throughout history. The article provided a detailed summary and exploration of the origins and processing methods of rhubarb， peach kernels， leeches， and flies in the formula. At the same time， it reviewed the clinical practice of Didangtang by medical practitioners throughout history in relevant medical books， mainly including the adjustment of dosage forms， the increase or decrease in medicinal taste and dosage， the expansion of clinical application， and the creation and elucidation of similar formulas. Although there may be differences in the above information among medical practitioners throughout history， the basic idea of attacking blood stasis and heat is consistent. In addition， based on clinical practice， the author adhered to the principle of treating stasis and heat disease as the first reference when using Didangtang. It was suggested that blood should be circulated instead of stopping in the treatment of stasis and heat accumulation syndrome. At the same time， it was believed that the use of the method of attacking stasis and heat to regulate brain diseases and mental illnesses derives from the fact that removing stasis and generating new energy can nourish the heart and mind， providing ideas for the treatment of such diseases with Didangtang. On this basis， modern clinical and animal experiments have shown that Didangtang has certain effects in improving microcirculation disorders， regulating blood rheology and hemodynamics， enhancing insulin resistance， and inhibiting inflammatory reactions. This may be an important mechanism for the formula to ''conquer blood stasis and heat''. This article explored the textual research and clinical mechanism of Didangtang， presenting facts and evidence， so as to provide a reference for the clinical application of Didangtang and the research on other prescriptions.

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 investigate the application value of ultrasonic artificial intelligence(AI)combined with serine/threonine-protein kinase(BRAF)V600E gene testing in differentiating benign-malignant and invasive thyroid nodules.Methods A total of 150 patients with malignant thyroid nodules(the malignant group)and 150 patients with benign thyroid nodules(the benign group)were selected.According to whether the pathological diagnosis of the malignant group involved capsule,vascular,nerve invasion or lymph node metastasis,patients were divided into the invasive group(66 cases)and the non-invasive group(84 cases).General clinical characteristics,ultrasonic AI parameters and BRAF V600E gene testing results were compared between groups.Discrepancies between ultrasonic AI,BRAF V600E gene testing and postoperative pathological diagnoses were analyzed.ROC curves and Delong tests were usd to evaluate the diagnostic efficacy of ultrasonic AI,BRAF V600E gene and their joint inspection.Results The malignant group exhibited higher probabilities of nodule maximum diameter(＞1 cm),solid structure,hypoechoic/very hypoechoic echogenicity,microcalcification,blurred margin,irregular shape,aspect ratio(＞1),internal and mixed blood flow distribution and high blood flow richness(gradesⅢ—Ⅴ)compared to those of the benign group(P＜0.05).The invasive subgroup showed higher probabilities of nodule maximum diameter(＞1 cm),solid structure,hypoechoic/very hypoechoic echogenicity,microcalcification,blurred margin,irregular shape,internal and mixed blood flow distribution,and high blood flow richness(grades Ⅲ—Ⅴ)than those of the non-invasive subgroup(P＜0.05).For diagnosing malignant thyroid nodules,ultrasonic AI demonstrated a sensitivity of 90.00%and specificity of 80.67%.For invasive malignant nodules,sensitivity was 84.85%and specificity was 83.33%.BRAF V600E gene testing showed a sensitivity of 72.67%,specificity of 90.00%for malignant nodules.For invasive nodules,sensitivity was 74.24%and specificity was 88.10%.Receiver operating characteristic curve(ROC)analysis revealed that the AUCs(95%CI)for ultrasonic AI,BRAF V600E gene and their joint inspection in diagnosing malignant thyroid nodules were 0.853(0.807-0.900),0.813(0.762-0.864)and 0.941(0.917-0.966),with the joint inspection outperforming individual tests(P＜0.05).For invasive malignant nodules,the AUCs were 0.841(0.773-0.909),0.812(0.737-0.886)and 0.924(0.880-0.967),respectively,with the joint inspection showing superior performance(P＜0.05).Conclusion The joint inspection ultrasound AI with BRAF V600E gene significantly improve the diagnostic efficacy for differentiating benign and malignant thyroid nodules,and assessing their invasive potential.

Objective:To investigate the pathogenetic characteristics of clinical isolates of Streptococcus suis in Henan Province from 2020 to 2023. Methods:Eight clinical isolates of S. suis in Henan Province from 2020 to 2023 were identified using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) and real-time fluorescence polymerase chain reaction (PCR). Serotype and virulence genes were detected by the serum agglutination test and PCR, and antibiotic susceptibility was evaluated using the microbroth dilution method. Multilocus sequence typing (MLST), minimum core genome (MCG), identification of antibiotic resistance genes, and core genome single nucleotide polymorphism (cgSNP) analysis were conducted using whole genome sequencing. Results:The results showed that eight S. suis strains isolated from humans were mainly serotype 2 (75.0%), while the rest were serotype 14 (25.0%). ST353 (62.5%) was the predominant genotype, followed by ST1 (25.0%) and ST7 (12.5%). All isolates belonged to the MCG1 group. The virulence genotypes of these isolates were primarily mrp(NA2)/ sly+/ ef+/ gapdh+(75.0%), while the remaining were mrp(EU)/ sly+/ ef+/ gapdh+(25.0%). These isolates carried tetracycline, macrolide, lincosamide and aminoglycoside resistance genes, and their resistance rates to tetracycline, erythromycin and clindamycin were 100.0%, 87.5% and 87.5%, respectively, and 62.5% strains were intermediate-resistant to penicillin. The cgSNP analysis indicated that these isolates were closer to the isolates from Guangdong, Zhejiang and Guangxi Provinces, with five ST353 strains and one ST7 strain belonging to Clade Ⅰ, and two ST1 strains belonging to Clade Ⅱ. Conclusion:The human isolates of S. suis in Henan Province are mainly ST353, harboring multiple virulence and antibiotic resistance genes.

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.

Objectives:To develop a risk prediction model for sudden cardiac arrest(CA)in children with congenital heart disease(CHD)after surgery and validate its predictive efficacy,providing a reference for the prevention of CA and risk stratification.Methods:Medical records were retrospectively analyzed from 5 029 children who were hospitalized in Fuwai Hospital,Chinese Academy of Medical Sciences from January 1,2020 to May 31,2022 and underwent CHD surgery.The patients were divided into two groups:those who experienced CA after surgery(n=33)and those who did not(n=4 996).A random forest model for predicting the risk of postoperative CA was established on the training dataset using R software,and the predictive effect of the model was evaluated on the validation dataset using indicators of predictive accuracy,sensitivity,specificity,positive predictive value,negative predictive value.Results:The incidence of CA in this center was 0.66%,survival rate is 72.73%.Using the random forest algorithm,the importance of risk factors for sudden CA after CHD surgery was ranked by variable importance scoring,with the following top 6 important predictive variables:blood pressure,lactate levels,heart rate,cardiac rhythm,arterial oxygen partial pressure,and blood oxygen saturation on the first day after surgery.The model established by the random forest algorithm on the training set was validated on the test set,yielding a predictive accuracy of 99.8%,specificity of 87.5%,sensitivity of 99.9%,kappa coefficient of 0.8225,positive predictive value of 99.9%,and negative predictive value of 77.8%.Conclusions:The established prediction model of sudden CA in children with CHD after surgery had good performance.It might help medical staffon decision making of early intervention,preventing the occurrence of CA,and improving the outcomes of children with high risk of CA post surgery.

OBJECTIVE To analyze the status of targeted monitoring of the health care-associated infections in in-tensive care unit(ICU)of a three-A hospital of northwest China in recent 7 years so as to provide bases for formu-lating effective prevention and control measures for the health care-associated infections.METHODS The related data were successively collected from the ICU hospitalized patients of the Second Affiliated Hospital of Air Force Medical University who were under the targeted monitoring by nosocomial infection real-time monitoring system from Jan.2017 to Dec.2023.The data included the incidence of infections,infection sites,use of catheters,inci-dence of catheter-related infections,and distribution and prevalence trend of pathogens.RESULTS A total of 49,137 hospitalized patients from five ICU wards of respiratory medicine department,neurosurgery department,neurology department,thoracic surgery department and critical care medicine department were under the monito-ring,1446(1681 case-times)of whom had health care-associated infections,with the infection rate 2.94％,the case-time infection rate 3.42％.The respiratory system was the major infection site of the patients with the health care-associated infections.Among the patients with instrument-associated infections,20.70％had ventilator-asso-ciated pneumonia(VAP),5.71％had urinary catheter-associated urinary tract infection(CAUTI),and 1.96％had catheter-related bloodstream infection(CRBSI).Totally 405 strains of non-repetitive pathogens were isolated from 477 patients with instruments-associated infections,78.77％of which were gram-negative bacteria.The iso-lation rate of multidrug-resistant organisms(MDROs)was 44.12％,and Acinetobacter baumannii was the pre-dominant species of pathogen isolated from the patients with VAP.CONCLUSIONS The targeted monitoring of health care-associated infections may facilitate the awareness of dynamic changes of the infections in a accurate and timely manner so as to provide bases for developing effective prevention and control measures for the health care-associated infection.It is necessary to strengthen the prevention and control of the infections in critical care medi-cine department,neurosurgery department as well as the lower respiratory tract infections and prevent the MDROs infection in the meantime.

Objective To investigate the application value of ultrasonic artificial intelligence(AI)combined with serine/threonine-protein kinase(BRAF)V600E gene testing in differentiating benign-malignant and invasive thyroid nodules.Methods A total of 150 patients with malignant thyroid nodules(the malignant group)and 150 patients with benign thyroid nodules(the benign group)were selected.According to whether the pathological diagnosis of the malignant group involved capsule,vascular,nerve invasion or lymph node metastasis,patients were divided into the invasive group(66 cases)and the non-invasive group(84 cases).General clinical characteristics,ultrasonic AI parameters and BRAF V600E gene testing results were compared between groups.Discrepancies between ultrasonic AI,BRAF V600E gene testing and postoperative pathological diagnoses were analyzed.ROC curves and Delong tests were usd to evaluate the diagnostic efficacy of ultrasonic AI,BRAF V600E gene and their joint inspection.Results The malignant group exhibited higher probabilities of nodule maximum diameter(＞1 cm),solid structure,hypoechoic/very hypoechoic echogenicity,microcalcification,blurred margin,irregular shape,aspect ratio(＞1),internal and mixed blood flow distribution and high blood flow richness(gradesⅢ—Ⅴ)compared to those of the benign group(P＜0.05).The invasive subgroup showed higher probabilities of nodule maximum diameter(＞1 cm),solid structure,hypoechoic/very hypoechoic echogenicity,microcalcification,blurred margin,irregular shape,internal and mixed blood flow distribution,and high blood flow richness(grades Ⅲ—Ⅴ)than those of the non-invasive subgroup(P＜0.05).For diagnosing malignant thyroid nodules,ultrasonic AI demonstrated a sensitivity of 90.00%and specificity of 80.67%.For invasive malignant nodules,sensitivity was 84.85%and specificity was 83.33%.BRAF V600E gene testing showed a sensitivity of 72.67%,specificity of 90.00%for malignant nodules.For invasive nodules,sensitivity was 74.24%and specificity was 88.10%.Receiver operating characteristic curve(ROC)analysis revealed that the AUCs(95%CI)for ultrasonic AI,BRAF V600E gene and their joint inspection in diagnosing malignant thyroid nodules were 0.853(0.807-0.900),0.813(0.762-0.864)and 0.941(0.917-0.966),with the joint inspection outperforming individual tests(P＜0.05).For invasive malignant nodules,the AUCs were 0.841(0.773-0.909),0.812(0.737-0.886)and 0.924(0.880-0.967),respectively,with the joint inspection showing superior performance(P＜0.05).Conclusion The joint inspection ultrasound AI with BRAF V600E gene significantly improve the diagnostic efficacy for differentiating benign and malignant thyroid nodules,and assessing their invasive potential.

Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1％of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9％)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5％)was lower than that in inpatient children(31.5％).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1％)than in inpatient children(59.4％).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14％,11.7％,47.8％in outpatients,but 24.2％,20.6％,and 52.8％in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.