Objective:To understand the infection status, epidemiological characteristics and drug resistance of Diarrheagenic Escherichia coli (DEC) in Shanghai and provide evidence for the disease surveillance. Methods:The epidemiological data of diarrhea cases in Shanghai from 2016 to 2022 were collected from Shanghai Diarrhea Comprehensive Surveillance System, and stool samples were collected from the cases for DEC detection. The drug resistance data was obtained from Chinese Pathogen Identification Network. Statistical analysis was conducted by using χ2 and fisher test. Results:In 24 883 diarrhea cases detected during 2016-2022, the DEC positive rate was 9.13% (2 271/24 883), the single DEC positive rate was 8.83% (2 197/24 883) and the mixed DEC positive rate was 0.30% (74/24 883). The main type of DEC was Enterotoxigenic Escherichia coli (ETEC) [4.33% (1 077/24 883)]. The DEC positive rate was highest in people aged ≤5 years 18.48% (22/119). The annual peak of DEC positive rate was observed during July - September [5.91% (1 470/24 883)]. The DEC positive rate were 9.47% (554/5 847) and 9.02% (1 717/19 036) in urban area and in suburbs, respectively, Enteroaggregative Escherichia coli (EAEC) [3.98% (233/5 847)] and ETEC [4.56% (868/19 036)] were mainly detected. From 2016 to 2019, the DEC positive rate was 9.42% (1 821/19 330), while it was 8.10% (450/5 553) from 2020 to 2022, the main DEC types were ETEC (4.87%, 941/19 330) and EAEC (4.70%, 261/5 553). The multi-drug resistance rate was 40.21% (618/1 537). The top three antibiotics with high drug resistance rates were ampicillin [64.74% (995/1 537)], nalidixic acid [58.49% (899/1 537)] and tetracycline [45.09% (693/1 537)]. Conclusions:Compared with 2016- 2019, a decrease in DEC detection rate was observed during 2020-2022, and the main type of DEC detected shifted from ETEC to EAEC. The prevalence of multi-drug resistance was severe. Therefore, it is necessary to further strengthen the surveillance for DEC drug resistance and standardize the use of clinical antibiotics.

Thyroglobulin(Tg)is a glycoprotein with large molecular weight,which is synthesized and secreted into the bloodstream by thyroid follicular cells.The concentration level of Tg in blood is one of the important biomarkers for diagnosis of thyroid diseases such as differentiated thyroid cancer(DTC),subacute thyroiditis,etc..Radioimmunoassay(RIA),immunoradiometric assay(IRMA),and immunochemiluminescence assay(ICMA)are the main clinical methods for detecting Tg.Recently,for meeting the requirement of detecting low concentration of Tg in blood after thyroid clearance surgery,researchers have developed various high-performance analysis methods for detecting Tg concentration in blood samples,providing new assays for thyroid disease screening and efficacy evaluation.This review summarized the analysis methods of Tg,especially the new progresses in the biosensors for monitoring low concentration of Tg in blood during the past five years.The current technical challenges of these methods in clinical applications were briefly discussed,which might provide useful information for developing new liquid biopsy methods of DTC.

Objective To investigate the clinical characteristics and prognosis of pneumococcal meningitis(PM),and drug sensitivity of Streptococcus pneumoniae(SP)isolates in Chinese children.Methods A retrospective analysis was conducted on clinical information,laboratory data,and microbiological data of 160 hospitalized children under 15 years old with PM from January 2019 to December 2020 in 33 tertiary hospitals across the country.Results Among the 160 children with PM,there were 103 males and 57 females.The age ranged from 15 days to 15 years,with 109 cases(68.1% )aged 3 months to under 3 years.SP strains were isolated from 95 cases(59.4% )in cerebrospinal fluid cultures and from 57 cases(35.6% )in blood cultures.The positive rates of SP detection by cerebrospinal fluid metagenomic next-generation sequencing and cerebrospinal fluid SP antigen testing were 40% (35/87)and 27% (21/78),respectively.Fifty-five cases(34.4% )had one or more risk factors for purulent meningitis,113 cases(70.6% )had one or more extra-cranial infectious foci,and 18 cases(11.3% )had underlying diseases.The most common clinical symptoms were fever(147 cases,91.9% ),followed by lethargy(98 cases,61.3% )and vomiting(61 cases,38.1% ).Sixty-nine cases(43.1% )experienced intracranial complications during hospitalization,with subdural effusion and/or empyema being the most common complication[43 cases(26.9% )],followed by hydrocephalus in 24 cases(15.0% ),brain abscess in 23 cases(14.4% ),and cerebral hemorrhage in 8 cases(5.0% ).Subdural effusion and/or empyema and hydrocephalus mainly occurred in children under 1 year old,with rates of 91% (39/43)and 83% (20/24),respectively.SP strains exhibited complete sensitivity to vancomycin(100% ,75/75),linezolid(100% ,56/56),and meropenem(100% ,6/6).High sensitivity rates were also observed for levofloxacin(81% ,22/27),moxifloxacin(82% ,14/17),rifampicin(96% ,25/26),and chloramphenicol(91% ,21/23).However,low sensitivity rates were found for penicillin(16% ,11/68)and clindamycin(6% ,1/17),and SP strains were completely resistant to erythromycin(100% ,31/31).The rates of discharge with cure and improvement were 22.5% (36/160)and 66.2% (106/160),respectively,while 18 cases(11.3% )had adverse outcomes.Conclusions Pediatric PM is more common in children aged 3 months to under 3 years.Intracranial complications are more frequently observed in children under 1 year old.Fever is the most common clinical manifestation of PM,and subdural effusion/emphysema and hydrocephalus are the most frequent complications.Non-culture detection methods for cerebrospinal fluid can improve pathogen detection rates.Adverse outcomes can be noted in more than 10% of PM cases.SP strains are high sensitivity to vancomycin,linezolid,meropenem,levofloxacin,moxifloxacin,rifampicin,and chloramphenicol.[Chinese Journal of Contemporary Pediatrics,2024,26(2):131-138]

Objective To study the clinical characteristics of children with anti-neutrophil cytoplasmic antibody(ANCA)-associated vasculitis(AAV).Methods A retrospective analysis was conducted on the clinical data of 25 children diagnosed with AAV at the Second Xiangya Hospital of Central South University from January 2010 to June 2022.Results Among the AAV children,there were 5 males and 20 females,with a median age of onset of 11.0 years.Involvement of the urinary system was seen in 18 cases(72%);respiratory system involvement in 10 cases(40%);skin involvement in 6 cases(24%);eye,ear,and nose involvement in 5 cases(20%);joint involvement in 4 cases(16%);digestive system involvement in 2 cases(8%).Eleven cases underwent kidney biopsy,with 5 cases(46%)showing focal type,2 cases(18%)showing crescentic type,2 cases(18%)showing mixed type,and 2 cases(18%)showing sclerotic type.Immune complex deposits were present in 5 cases(45%).Seven cases reached chronic kidney disease(CKD)stage Ⅴ,with 2 cases resulting in death.Two cases underwent kidney transplantation.At the end of the follow-up period,2 cases were at CKD stage Ⅱ,and 1 case was at CKD stage Ⅲ.Of the 16 cases of microscopic polyangiitis(MPA)group,13(81%)involved the urinary system.Of the 9 cases of granulomatosis with polyangiitis(GPA),6 cases(66%)had sinusitis.Serum creatinine and uric acid levels were higher in the MPA group than in the GPA group(P<0.05),while red blood cell count and glomerular filtration rate were lower in the MPA group(P<0.05).Conclusions AAV is more common in school-age female children,with MPA being the most common clinical subtype.The onset of AAV in children is mainly characterized by renal involvement,followed by respiratory system involvement.The renal pathology often presents as focal type with possible immune complex deposits.Children with MPA often have renal involvement,while those with GPA commonly have sinusitis.The prognosis of children with AAV is poor,often accompanied by renal insufficiency.

Objective To study the correlation of anti-C1q antibodies with active systemic lupus erythematosus(SLE)and lupus nephritis(LN)in children,as well as their diagnostic value for active SLE and LN.Methods A retrospective selection of 90 hospitalized children with SLE at the Children's Medical Center of Second Xiangya Hospital,Central South University from January 2016 to March 2019 as the SLE group,all of whom were tested for anti-C1q antibodies.A control group was formed by collecting 70 hospitalized children with other autoimmune diseases(OAD)during the same period.The differences in anti-C1q antibody levels were compared between two groups.The correlation of anti-C1q antibodies with various indicators of SLE and LN was analyzed,and the diagnostic value of anti-C1q in SLE and LN was evaluated.Results The serum levels of anti-C1q antibodies in the SLE group were higher than those in the OAD group(P<0.05).The SLE disease activity index score was positively correlated with anti-C1q antibodies(rs=0.371,P<0.001)and positively correlated with anti-double-stranded DNA antibodies(rs=0.370,P<0.001).The sensitivity and specificity of anti-C1q antibodies for diagnosing active SLE were 89.90%and 53.90%,respectively,with an area under the curve of 0.720(P<0.05)and a critical value of 5.45 U/mL.The sensitivity and specificity of anti-C1q antibody levels for diagnosing active LN were 58.50%and 85.00%,respectively,with an area under the curve of 0.675(P<0.05)and a critical value of 22.05 U/mL.Conclusions Anti-C1q antibodies can serve as non-invasive biomarkers for evaluating the activity of SLE or predicting the activity of LN in children.

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.

Objective To analyze the influencing factors of treatment compliance in patients undergoing intracranial aneurysm (IA) surgery based on based on latent growth mixture model (LGMM). Methods A total of 150 patients who underwent IA surgery were selected as the study objects. The general data of patients were collected and the compliance scale was used to evaluate the compliance of patients. LGMM was used to predict the change track of treatment compliance of patients with IA after surgery, and the influencing factors of treatment compliance of patients with IA were analyzed by multivariate Logistic regression analysis. Results A total of 138 valid questionnaires were collected in this study, and the effective questionnaire recovery rate was 92.00%. The treatment compliance score of patients with IA was (5.18±1.59) points. After LGMM fitting, 3 potential profiles were selected. There were 37 patients with good compliance (26.81%), 42 patients with moderate compliance (30.43%), and 59 patients with poor compliance (42.75%). The potential profile category attribution probability matrix was 97.29% for patients with good compliance, 95.24% for patients with moderate compliance, and 98.31% for patients with poor compliance. The proportion of poor compliance patients with age of 30 to 50 years old, junior high school education level or below, combined with two or more diseases, out-of-pocket (medical expenses) and Hunt-Hess grade Ⅲ was significantly higher than those with good compliance and moderate compliance (P < 0.05). Age of 30 to 50 years old, Hunt-Hess grade Ⅲ, combined with two or more diseases, education level as junior high school or below and self-expense (medical expenses) were the influential factors of treatment compliance (P < 0.05). Conclusion Treatment compliance of patients undergoing IA surgery is low and heterogeneous. Age of 30 to 50 years old, junior high school education level or below, combination of more than two diseases, medical insurance payment method of self-payment and Hunt-Hess grade Ⅲ are all influencing factors for compliance of IA surgery patients.

Objective To investigate the construction and application of a risk prediction model for deep vein thrombosis (DVT) in patients with aneurysmal subarachnoid hemorrhage (aSAH). Methods A total of 250 patients with aSAH were enrolled in this study and divided into DVT (n=45) and non-DVT groups (n=205) based on the occurrence of DVT. General information and routinelaboratory indicators were collected and compared between the two groups. Multivariate Logistic regression analysis was performed to identify risk factors for DVT in aSAH patients. A nomogram prediction model for DVT after aSAH was established and its discriminative ability was evaluated using the receiver operating characteristic (ROC) curve. The clinical utility of the nomogram was assessed by decision curve analysis. Results Statistically significant differences were observed in age, history of hypertension, Glasgow Coma Scale (GCS) score, Hunt-Hess grade and length of hospital stay between the DVT and non-DVT groups (P < 0.05). The plasma fibrinogen level was significantly higher in the DVT group compared to the non-DVT group (P < 0.05), while no significant differences were found for other indicators (P>0.05). Multivariate Logistic regression analysis revealed that age, Hunt-Hess grade, length of hospital stay, and plasma fibrinogen level were influencing factors of the occurrence of DVT in aSAH patients(P < 0.05). ROC analysis showed that the nomogram exhibited good predictive performance in both the modeling and validation groups, with areas under the curve (AUCs) of 0.875 (95%CI, 0.802 to 0.948) and 0.872 (95%CI, 0.757 to 0.987), respectively. Decision curve analysis indicated that the nomogram provided a high net benefit for predicting DVT in aSAH patients across a wide range of threshold probabilities. Conclusion Age, Hunt-Hess grade, length of hospital stay, and plasma fibrinogen level are influential factors for DVT in aSAH patients. The nomogram in predicting DVT after aSAH demonstrates good discriminative ability, calibration degree, and clinical application value. This model can better identify high-risk patients and provide individualized prevention and treatment strategies.

ObjectiveTo understand the presence of virulence genes， molecular typing characteristics， and antibiotic sensitivity of enteroaggregative Escherichia coli （EAEC） in children with diarrhea in Shanghai， so as to provide a scientific basis for EAEC monitoring and standardized treatment of EAEC infection. MethodsEAEC strains isolated from children （≤5 years old） with diarrhea in six districts of Shanghai were collected as the study subjects. EAEC virulence genes were detected by real-time fluorescence quantitative PCR， molecular typing was performed by pulsed-field gel electrophoresis （PFGE）， and drug susceptibility tests were conducted using the microbroth dilution method. χ² test and two independent samples t-test were used to compare the differences in virulence genes and antibiotic resistance between suburban and urban EAEC strains. ResultsFrom 2019 to 2021， the overall detection rates of gene aggR， pic and astA of 59 EAEC were 30.5%， 50.8%， and 57.6%， respectively. There was no significant difference in the detection rates of virulence genes between suburban and urban EAEC strains （P>0.05）. PFGE analysis revealed that only two EAEC strains belonged to the same PFGE pattern and were collected from the same hospital， and the overall PFGE patterns were polymorphic. EAEC showed susceptibility to imipenem and colistin E， and the resistance rates to sulfamethoxazole （SXT）， ampicillin （AMP）， nalidixic acid （NAL）， and tetracycline （93.1%， 79.3%， 63.8%， and 58.6%， respectively） were higher than 50.0%. The antibiotic resistance rates of cefazolin （CFZ）， cefotaxime （CTX）， and ciprofloxacin （CIP） were significantly different between EAEC strains from suburban and urban areas （P<0.05）. A total of 47 strains exhibited multi-drug resistance， with the most common resistance spectrum being AMP-SXT-NAL. There was no statistically significant difference in the number of multidrug-resistant EAEC strains between suburban and urban areas （P>0.05）. ConclusionThe EAEC virulence gene assemblages in children with diarrhea in the six districts of Shanghai are diverse， and the molecular typing patterns are relatively scattered， indicating possible cross-infection of homologous strains. Multi-drug resistance in EAEC strains is relatively common， and there is a statistically significant difference in the resistance rates of CFZ， CTX and CIP between urban and suburban EAEC strains. Attention should be given to standardizing the use of clinical antibiotics to effectively control the dissemination of multidrug-resistant EAEC strains.

Objective: To investigate the infection sources and the transmission chains of three outbreaks caused by 2019-nCoV Omicron variant possibly spread through cross-border logistics in Beijing. Methods: Epidemiological investigation and big data were used to identify the exposure points of the cases. Close contacts were traced from the exposure points, and the cases' and environmental samples were collected for nucleic acid tests. Positive samples were analyzed by gene sequencing. Results: The Omicron variant causing 3 outbreaks in Beijing from January to April, 2022 belonged to BA.1, BA.1.1 and BA.2. The outbreaks lasted for 8, 12 and 8 days respectively, and 6, 42 and 32 cases infected with 2019-nCoV were reported respectively. International mail might be the infection source for 1 outbreak, and imported clothes might be the infection sources for another 2 outbreaks. The interval between the shipment start time of the imported goods and the infection time of the index case was 3-4 days. The mean incubation period (Q₁, Q₃) was 3 (2,4) days and the mean serial interval (Q₁, Q₃) was 3 (2,4)days. Conclusions: The 3 outbreaks highlighted the risk of infection by Omicron variant from international logistics-related imported goods at normal temperature. Omicron variant has stronger transmissibility, indicating that rapid epidemiological investigation and strict management are needed.
Humans ; Beijing ; SARS-CoV-2 ; COVID-19 ; Disease Outbreaks ; China/epidemiology*