OBJECTIVE To understand the disinfectant-resistant genes in the gram-negative bacteria isolated from the dirt retention on air recure filters of air conditioners and observe the drug resistance.METHODS The dirt re-tention samples were collected from the air return filters of air conditioners of some wards in 3 hospitals of Wuhan(Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology,Wuhan Central Hospital,and Hubei Provincial Maternal and Child Health Hospital)from 2018 to 2024.The gram-negative bac-teria were screened out,the disinfectant-resistant genes in the strains were detected by polymerase chain reaction(PCR),and the results of drug susceptibility test were analyzed.RESULTS Of 354 dirt retention samples that were collected from the air return filers of air conditioners,77 were detected with 138 strains of gram-negative bacteria,87 of which were Acinetobacter baumannii,50 were Enterobacteriaceae,and 1 was Pseudomonas aerug-inosa.The detection rates of qacEΔ1,qacEΔ1-sul1,aceI and qacA/B were 73.19％,82.61％,69.57％and 2.90％,respectively.None of the strains were detected with qacC,qacH or qacJ.The result of drug susceptibility test showed that 76.81％of the gram-negative bacteria were resistant to at least 1 type of antibiotic;93 strains of multidrug-resistant gram-negative bacteria were isolated,most of which were isolated from intensive care unit(ICU).The detection rates of qacEΔ1 and qacEΔ1-sul1 were higher in the drug-resistant strains than those in the non-drug-resistant strains;there were significant differences in the drug resistance rates to carbapenems,quin-olones and β-lactams between the qacEΔ1-sul 1-positive strains and the qacEΔ1-sul1-negative strains(P＜0.05).CONCLUSIONS There are drug-resistant gram-negative bacteria contaminations in some wards of the 3 hospitals in Wuhan.The carrying rates of disinfectant-resistant genes of the strains are high,and the strains show varying degree of resistance to the commonly used antibiotics;the strains carrying the qacEΔ1-sul1 have certain statistical association with the drug resistance.It is suggested that the hospital should take targeted disinfec-tion measures for the environment and reasonably use antibiotics.

Objective To investigate the clinical efficacy and safety of facilitated percutaneous coronary intervention(PCI)with half-dose recombinant staphylokinase(r-SAK)in patients with ST-segment elevation myocardial infarction(STEMI)who are expected to undergo PCI within 120 minutes.Methods From October 2021 to August 2022,a total of 200 STEMI patients in eight centers were included and randomly assigned in a 1﹕1 ratio to either r-SAK group or control group.Patients received loading doses of aspirin and ticagrelor and intravenous heparin and were randomized to receive an intravenous bolus of either 5 mg r-SAK or normal saline prior to PCI.The outcomes were set as ST-segment resolution(STR)at 60-90 minutes after PCI,the proportion and transition of pathological Q waves on the 5th day after PCI,and the proportion of high-sensitivity cardiac troponin T(hs-cTnT)peaking within 12 hours of onset.The safety outcome was major bleeding events defined as Bleeding Academic Research Consortium(BARC)≥type 3 bleeding during hospitalization.Results Compared with the control group,the r-SAK group had a higher proportion of STR≥70%within 60-90 minutes after PCI(58.3%vs.40.3%,P=0.009);a lower proportion of pathological Q waves(59.1%vs.74.1%,P=0.040);a lower rate of Q wave progression(14.8%vs.43.2%,P＜0.001);a higher rate of Q wave disappearance(12.5%vs.3.7%,P=0.027);and a higher proportion of hs-cTnT peaking within 12 hours of symptom onset[31/40(77.5%)vs.17/33(51.5%),P=0.027].Regarding the safety outcome,no significant difference in BARC≥type 3 bleeding was found between the two groups during hospitalization(P＞0.05).Conclusions For STEMI patients who were expected to undergo primary PCI within 120 minutes of symptom onset,the facilitated PCI with half-dose r-SAK significantly increased the proportion of STR≥70%at 60-90 minutes after PCI,reduced the formation of pathological Q waves,and shortened the time to peak hs-cTnT,without increasing the risk of bleeding,which should be an alternative reperfusion strategy worthy of further study.

Objective To design a digital intelligence-driven critical treatment platform to implement integrated treatment procedure inside and outside the hospital and intelligent whole-course managment from pre-hospital emergency care to discharge for critically ill patients.Methods The platform was designed with 5G,IoT,big data and aritificial intelligence techniques and developed with Java language,which adopted Oracle database-based data management and front-end and back-end separation mode,with the front end realized by Vue.js framework and the back end by microservice architecture.There were five functional modules for pre-hospital emergency care,multidisciplinary joint diagnosis and treatment,critical care,quality control management and post-discharge follow-up involved in the platform.Results The platform developed simplified the treatment procedure,enhanced the timeliness of emergency care,decreased the workload of nursing staffs and improved medical service efficiency and working efficiency effectively.Conclusion The platform increases first aid quality and treatment efficiency and provides critically ill patients with high-quality medical experience.[Chinese Medical Equipment Journal,2025,46(1):38-43]

OBJECTIVE To understand the disinfectant-resistant genes in the gram-negative bacteria isolated from the dirt retention on air recure filters of air conditioners and observe the drug resistance.METHODS The dirt re-tention samples were collected from the air return filters of air conditioners of some wards in 3 hospitals of Wuhan(Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology,Wuhan Central Hospital,and Hubei Provincial Maternal and Child Health Hospital)from 2018 to 2024.The gram-negative bac-teria were screened out,the disinfectant-resistant genes in the strains were detected by polymerase chain reaction(PCR),and the results of drug susceptibility test were analyzed.RESULTS Of 354 dirt retention samples that were collected from the air return filers of air conditioners,77 were detected with 138 strains of gram-negative bacteria,87 of which were Acinetobacter baumannii,50 were Enterobacteriaceae,and 1 was Pseudomonas aerug-inosa.The detection rates of qacEΔ1,qacEΔ1-sul1,aceI and qacA/B were 73.19％,82.61％,69.57％and 2.90％,respectively.None of the strains were detected with qacC,qacH or qacJ.The result of drug susceptibility test showed that 76.81％of the gram-negative bacteria were resistant to at least 1 type of antibiotic;93 strains of multidrug-resistant gram-negative bacteria were isolated,most of which were isolated from intensive care unit(ICU).The detection rates of qacEΔ1 and qacEΔ1-sul1 were higher in the drug-resistant strains than those in the non-drug-resistant strains;there were significant differences in the drug resistance rates to carbapenems,quin-olones and β-lactams between the qacEΔ1-sul 1-positive strains and the qacEΔ1-sul1-negative strains(P＜0.05).CONCLUSIONS There are drug-resistant gram-negative bacteria contaminations in some wards of the 3 hospitals in Wuhan.The carrying rates of disinfectant-resistant genes of the strains are high,and the strains show varying degree of resistance to the commonly used antibiotics;the strains carrying the qacEΔ1-sul1 have certain statistical association with the drug resistance.It is suggested that the hospital should take targeted disinfec-tion measures for the environment and reasonably use antibiotics.

Objective To investigate the predictive value of preoperative systemic inflammatory response index(SIRI)combined with clinicopathological parameters for postoperative recurrence in cervical cancer and to construct a prognostic model in order to optimize recurrence risk assessment.Methods Patients with cervical cancer who underwent standard surgical treatment at the First Affiliated Hospital of Chongqing Medical University(training cohort,n=996)and Chongqing Maternal and Child Health Hospital(validation cohort,n=496)between January 2017 and January 2022 were retrospectively enrolled based on our strict inclusion and exclusion criteria.Univariate and multivariate Cox regression analyses were performed to identify independent prognostic factors for recurrence-free survival(RFS),and then a nomogram was constructed.Receiver operating characteristic(ROC)curve was plotted to assess the predictive performance of the model,and the area under the curve(AUC)and calibration curve were employed to evaluate the model.Kaplan-Meier survival analysis was performed to determine the clinical application.Results Cox regression analysis demonstrated that International Federation of Gynecology and Obstetrics(FIGO)stage(P<0.001),tumor size(P<0.001),pathological type(P<0.001),tumor grade(P=0.007),parametrial invasion(P<0.001),depth of myometrial invasion(P=0.019),lymphovascular space invasion(P=0.019),vaginal margin involvement(P=0.010),adjuvant therapy(P=0.012),and SIRI(P<0.001)were independent prognostic factors for RFS.Our nomogram model based on above prognostic factors exhibited superior predictive performance for 1-,3-,and 5-year RFS,with a significantly higher AUC value(0.886)than those of single-parameter models.Conclusion Our nomogram model demonstrated good accuracy in predicting RFS in cervical cancer patients,providing a potential tool for personalized clinical decision-making in recurrence risk management.

Objective To design a digital intelligence-driven critical treatment platform to implement integrated treatment procedure inside and outside the hospital and intelligent whole-course managment from pre-hospital emergency care to discharge for critically ill patients.Methods The platform was designed with 5G,IoT,big data and aritificial intelligence techniques and developed with Java language,which adopted Oracle database-based data management and front-end and back-end separation mode,with the front end realized by Vue.js framework and the back end by microservice architecture.There were five functional modules for pre-hospital emergency care,multidisciplinary joint diagnosis and treatment,critical care,quality control management and post-discharge follow-up involved in the platform.Results The platform developed simplified the treatment procedure,enhanced the timeliness of emergency care,decreased the workload of nursing staffs and improved medical service efficiency and working efficiency effectively.Conclusion The platform increases first aid quality and treatment efficiency and provides critically ill patients with high-quality medical experience.[Chinese Medical Equipment Journal,2025,46(1):38-43]

Objective To investigate the clinical efficacy and safety of facilitated percutaneous coronary intervention(PCI)with half-dose recombinant staphylokinase(r-SAK)in patients with ST-segment elevation myocardial infarction(STEMI)who are expected to undergo PCI within 120 minutes.Methods From October 2021 to August 2022,a total of 200 STEMI patients in eight centers were included and randomly assigned in a 1﹕1 ratio to either r-SAK group or control group.Patients received loading doses of aspirin and ticagrelor and intravenous heparin and were randomized to receive an intravenous bolus of either 5 mg r-SAK or normal saline prior to PCI.The outcomes were set as ST-segment resolution(STR)at 60-90 minutes after PCI,the proportion and transition of pathological Q waves on the 5th day after PCI,and the proportion of high-sensitivity cardiac troponin T(hs-cTnT)peaking within 12 hours of onset.The safety outcome was major bleeding events defined as Bleeding Academic Research Consortium(BARC)≥type 3 bleeding during hospitalization.Results Compared with the control group,the r-SAK group had a higher proportion of STR≥70%within 60-90 minutes after PCI(58.3%vs.40.3%,P=0.009);a lower proportion of pathological Q waves(59.1%vs.74.1%,P=0.040);a lower rate of Q wave progression(14.8%vs.43.2%,P＜0.001);a higher rate of Q wave disappearance(12.5%vs.3.7%,P=0.027);and a higher proportion of hs-cTnT peaking within 12 hours of symptom onset[31/40(77.5%)vs.17/33(51.5%),P=0.027].Regarding the safety outcome,no significant difference in BARC≥type 3 bleeding was found between the two groups during hospitalization(P＞0.05).Conclusions For STEMI patients who were expected to undergo primary PCI within 120 minutes of symptom onset,the facilitated PCI with half-dose r-SAK significantly increased the proportion of STR≥70%at 60-90 minutes after PCI,reduced the formation of pathological Q waves,and shortened the time to peak hs-cTnT,without increasing the risk of bleeding,which should be an alternative reperfusion strategy worthy of further study.

Background:The diversity and function of gut microbiota have been regarded as crucial factors affecting human health.With the advances in genetics and epidemiology,especially the application of Mendelian randomization analysis,a novel perspective has been provided for profoundly uncovering the causal relationship between gut microbiota and duodenal ulcer.Aims:To investigate the causal relationship between gut microbiota and duodenal ulcer through two-sample Mendelian randomization analysis.Methods:Genetic variation samples of the gut microbiota were screened from the MiBioGen database.Genetic loci related to duodenal ulcer were selected as instrumental variables from genome-wide association study.The inverse-variance weighted method,weighted median method,and MR-Egger regression analysis were used to assess the causal relationship between gut microbiota and duodenal ulcer.Tests for heterogeneity and horizontal pleiotropy were conducted to ensure the stability of the results.Results:Bacteroides(OR=0.998,95%CI:0.996-1.000,P=0.014),Prevotella_7(OR=0.999,95%CI:0.998-1.000,P=0.043)and Terrisporobacter(OR=0.998,95%CI:0.997-1.000,P=0.029)exhibited negative causal relationship with duodenal ulcer,while Bifidobacterium(OR=1.001,95%CI:1.000-1.003,P=0.046),Lachnoclostridium(OR=1.002,95%CI:1.001-1.004,P=0.007)and Olsenella(OR=1.001,95%CI:1.000-1.002,P=0.018)presented positive causal relationship with duodenal ulcer.The sensitivity analysis indicated that the influences of heterogeneity and horizontal pleiotropy on the causal relationship could be excluded.Conclusions:The two-sample Mendelian randomization analysis revealed that Bacteroides,Prevotella_7 and Terrisporobacter were protective factors for duodenal ulcer,while Bifidobacterium,Lachnoclostridium and Olsenella were risk factors.

Objective The purpose of this study was to investigate the bacterial communities of biting midges and ticks collected from three sites in the Poyang Lake area,namely,Qunlu Practice Base,Peach Blossom Garden,and Huangtong Animal Husbandry,and whether vectors carry any bacterial pathogens that may cause diseases to humans,to provide scientific basis for prospective pathogen discovery and disease prevention and control. Methods Using a metataxonomics approach in concert with full-length 16S rRNA gene sequencing and operational phylogenetic unit(OPU)analysis,we characterized the species-level microbial community structure of two important vector species,biting midges and ticks,including 33 arthropod samples comprising 3,885 individuals,collected around Poyang Lake. Results A total of 662 OPUs were classified in biting midges,including 195 known species and 373 potentially new species,and 618 OPUs were classified in ticks,including 217 known species and 326 potentially new species.Surprisingly,OPUs with potentially pathogenicity were detected in both arthropod vectors,with 66 known species of biting midges reported to carry potential pathogens,including Asaia lannensis and Rickettsia bellii,compared to 50 in ticks,such as Acinetobacter lwoffii and Staphylococcus sciuri.We found that Proteobacteria was the most dominant group in both midges and ticks.Furthermore,the outcomes demonstrated that the microbiota of midges and ticks tend to be governed by a few highly abundant bacteria.Pantoea sp7 was predominant in biting midges,while Coxiella sp1 was enriched in ticks.Meanwhile,Coxiella spp.,which may be essential for the survival of Haemaphysalis longicornis Neumann,were detected in all tick samples.The identification of dominant species and pathogens of biting midges and ticks in this study serves to broaden our knowledge associated to microbes of arthropod vectors. Conclusion Biting midges and ticks carry large numbers of known and potentially novel bacteria,and carry a wide range of potentially pathogenic bacteria,which may pose a risk of infection to humans and animals.The microbial communities of midges and ticks tend to be dominated by a few highly abundant bacteria.

Objective:To explore the clinical application and triage management value of using blood circulating cell-free DNA (cfDNA) (cysteine dioxygenase type 1 gene, CDO1, and Homeobox protein A9 gene, HOXA9) hypermethylation level to detect and diagnose ovarian cancer.Methods:A case-control study was conducted on patients who went for surgery at Chengdu Womens and Childrens Central Hospital from November 2022 to October 2023. Blood samples were collected before surgery for evaluation of cancer antigen 125 (CA125), human epididymis protein 4 (HE4), risk of ovarian malignancy algorithm (ROMA) score, and DNA methylation testing. The basic clinical information, biomarkers, and transvaginal ultrasound (TVS) information were collected simultaneously. Information from a total of 151 patients was collected, including 122 cases with benign pathology and 29 ovarian cancer cases. The pathologic diagnosis of ovarian tissue was defined as the gold standard. The multivariate logistic regression analysis was used to identify high-risk factors for ovarian cancer. The clinical efficacy of DNA methylation detection for ovarian cancer was analyzed using the area under curve (AUC).Results:The results showed that the age, menopausal status, CA125 and HE4 detection, ROMA score, positivity rate of CDO1 gene and HOXA9 gene single or combined testing in ovarian cancer patients were higher than those in the benign group and showed significant differences ( P<0.05). Among these detection protocols, the AUC of CDO1 and HOXA9 dual gene methylation testing for ovarian cancer was the highest at 0.936 (95% CI, 0.878-0.994), with 89.7% (95% CI 73.6%-96.4%) sensitivity and 97.5% (95% CI 93.0%-99.2%) specificity, respectively. The positive detection rate of CDO1 and HOXA9 dual gene methylation in early ovarian cancer FOGO I-II stage is 12/14 higher than other tests. Conclusion:Blood cfDNA methylation detection, a simple, non-invasive, and highly sensitive detection method, is superior to the current ovarian cancer testing in the risk assessment and early detection.