Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Objective    To explore the safety and feasibility of uni-portal video-assisted thoracic surgery (VATS) for the treatment of bronchopulmonary sequestration (BPS). Methods    The clinical data of BPS patients with surgical resection in Shanghai Pulmonary Hospital from February 2010 to June 2021 were reviewed. The patients were divided into a VATS group and a thoracotomy group according to the operation method. The operation time, intraoperative blood loss, hospital stay and postoperative complication rate were compared between the two groups. The VATS group was subdivided into a uni-portal VATS group and a multi-portal VATS group for subgroup analysis. Results    Finally 131 patients were enrolled, including 62 males and 69 females with an average age of 39.3±13.2 years. There were 103 patients in the VATS group and 28 patients in the thoracotomy group. A total of 104 patients were diagnosed with left lower BPS, 26 with right lower BPS and 1 with bilateral lower BPS. The main symptom was cough (88 patients, 67.2%). There were 119 patients diagnosed by thoracic enhanced CT before operation. Compared with the thoracotomy group, the operation time was not statistically different (P=0.717), but the blood loss was less, the rate of postoperative complication was lower and hospital stay was shorter in the VATS group (P<0.05). The rate of conversion to open surgery in the uni-portal VATS group and multi-portal VATS group was 11.8% and 13.5%, respectively. Meanwhile, patients in the uni-portal VATS group had shorter operation time and postoperative hospital stay, less blood loss and lower postoperative complication rate than those in the multi-portal VATS group (P<0.05). Conclusion     In order to improve the rate of diagnosis, the lung enhanced CT scan should be selected as an optimal noninvasive method in adult suspected patients (especially those with solid cystic and solid lesions in the lower lobe). Uni-portal VATS is a safe and feasible method for BPS which can be widely promoted.

AIM: To explore the clinical features, diagnosis and treatment experience and the distribution characteristics of pathogenic microorganisms of primary canaliculitis, and provide reference for its diagnosis and treatment. METHODS: Retrospective clinical study. A total of 119 cases(120 eyes)diagnosed as primary canaliculitis in the department of ophthalmology of Wuxi No.2 People's Hospital from June 2019 to February 2023 were included. The treatment methods were mainly divided into conservative treatment(removing canaliculus stones through lacrimal punctum combined with injecting antibiotic eye ointment into the tube)and surgical treatment. The inspection methods of pathogenic microorganisms included secretion smear microscopy and microbial culture.RESULTS: Primary canaliculitis was more common in middle-aged and older female, mainly manifested by long-term red eye and increased secretion; however, the majority was not accompanied by tearing. Totally, 118 cases(99.2%)had monocular disease, while 63 cases(63 eyes; 52.5%)had inferior lacrimal canaliculus disease. Laboratory examination: Among 119 cases(120 eyes), 4 cases(4 eyes)did not undergo laboratory examination, and the other 115 cases(116 eyes)were as follows: Gram staining microscopy of secretion smear showed that Actinomyces were detected in 102 cases(103 eyes; 88.8%), while no fungus was detected; Microbial culture: 85 cases(86 eyes; 74.1%)were positive for bacterial culture. A total of 111 bacterial strains were cultured, which contained 26 types of bacteria. Among them, 32 strains were aerobic(28.8%); 26 strains were anaerobic(23.4%); and 53 strains were facultative anaerobic(47.7%). The most common bacteria were streptococcus(20 strains), staphylococcus(13 strains), Propionibacterium(10 strains), and capnocytophaga(10 strains). Only 4 cases(4 eyes; 3.4%)of microbial cultures were positive for Actinomyces. Fungus was negative in all microbial cultures. Treatment: Of the 119 cases(120 eyes), 114 cases(115 eyes; 95.8%)were cured by conservative treatment of removing lacrimal canaliculus stones through lacrimal punctum and intracanalicular ointment infiltration(IOI), while 5 cases(5 eyes)were not effective in conservative treatment; however, all of them were cured after surgical treatment, and the cure rate for primary canaliculitis was 100.0%.CONCLUSION: The incidence of primary canaliculitis is low, and it is prevalent in middle-aged and older female. Single lacrimal canaliculus is more common, which could be missed and misdiagnosed in clinic. Actinomyces is the major pathogen observed mostly in mixed infections, with heterogeneous strains, mainly anaerobic or facultative anaerobic bacteria. Streptococcus and Staphylococcus are the most common whereas fungal canaliculitis is rare. The cure rate of primary canaliculitis is high after diagnosis, and IOI method is recommended as the initial treatment of canaliculitis.

To analyze the factors associated with infection and death of carbapenem-resistant Klebsiella pneumoniae (CRKP) in patients. Using a case-control study method, patients with CRKP infection from January 2019 to December 2021 in the 3201 Hospital were selected as the case group, and patients with carbapenem-susceptible Klebsiella pneumoniae (CSKP) infection in the same period were selected as the control group in a ratio of 1∶1. The study subjects were followed up for 30 days. The two groups of patients were categorized into survival and death groups based on whether they died or not, respectively, and the 30-day morbidity and mortality rates of the CRKP case group and the CSKP control group were compared. The logistic regression model was used to analyze the factors associated with CRKP infection and death after CRKP infection. This study included 59 cases in the CRKP case group and 59 in the CSKP control group. The 30-day mortality rate of CRKP-infected patients and CSKP-infected patients were 30.5% (18/59) and 5.1% (3/59), with statistically significant differences ( P<0.001). Surgery within three months prior to KP infection ( OR=17.285, P=0.001), use of carbapenems within three months prior to KP infection ( OR=11.235, P=0.002), use of more than three types of antibiotics ( OR=7.993, P=0.016), albumin<30 g/L in patients prior to KP infection ( OR=10.463, P=0.002), sex ( OR=0.078, P<0.001), and diabetes ( OR=0.076, P=0.011) were associated factors of CRKP infection. Higher age-corrected Charlson Comorbidity Index scores of patients ( OR=1.522, P=0.024) and use of carbapenems by the patients with in the first three months prior to the KP infection ( OR=4.902, P=0.029) were associated factors for the deaths of patients with CRKP. In conclusion, medical personnel should be cautious in performing invasive procedures, strictly control the use of antibiotics, and provide targeted protection and treatment for high-risk patients as soon as possible.

Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8％(62 219/261 893),and gram-negative bacteria 76.2％(199 674/261 893).The most common species were E.coli(46.7％),E.faecium(10.4％),K.pneumoniae(9.8％),E.faecalis(8.7％),P.mirabilis(3.5％),P.aeruginosa(3.4％),SS.agalactiae(2.6％),and E.cloacae(2.1％).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2％,52.8％and 37.0％,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7％,18.5％,16.4％,and 40.3％,respectively.Lower than 10％of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90％of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was＜2％.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.

Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7％)and Enterococcus faecalis(41.5％).The strains were mainly isolated from urinary tract specimens(46.9％±2.6％),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6％).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1％and 1.3％,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7％in 2015 to 3.4％in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3％.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.

Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5％in all clinical isolates amd 5.7％in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7％(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)％,followed by secretions/pus(16.4±2.3)％and urine(16.0±0.9)％.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9％),and only(7.1±0.8)％of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)％compared to the inpatients in any other departement.Overall,≤ 7.9％of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6％of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7％vs 3.9％).Overall,≤8.1％of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5％of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0％over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.