Objective:To construct a Du-moxibustion technique operation scheme suitable for patients with ankylosing spondylitis based on the "multidimensional evidence body" model, so as to provide a reference for clinical Du-moxibustion in the treatment of ankylosing spondylitis.Methods:This study was based on the "multidimensional evidence body" model, integrating evidence such as modern literature, ancient Chinese medicine books, and the experience of famous doctors, and combined with semi-structured interviews of 20 patients to form a first draft of the operation plan from April to June 2023. Twenty traditional Chinese medicine experts from 13 regions participated in the review and revision of the plan through two rounds of consultation and expert consensus meetings from July to August 2023, forming the final draft of the operation scheme.Results:Among 20 experts, there were 3 males and 17 females, aged (42.70 ± 6.57) years old. The effective response rates of the questionnaires in the two rounds of correspondence inquiries were 95%(19/20) and 18/18 respectively, and the expert authority coefficients were 0.80 and 0.81. The coefficients of variation were 0.00-0.19 and 0.00-0.21 respectively, and the Kendall harmony coefficients were 0.179 and 0.344 respectively (both P<0.01). The final scheme included 6 first-level items, including "terms and definitions""assessment""operation point""abnormal situations and handling measures""precautions""effect evaluation" and 27 second-level items and 17 third-level items. Conclusions:The operation scheme of Du-moxibustion technique is scientific, feasible and targeted, which can provide effective guidance for clinical practice and ensure the comprehensiveness and effectiveness of treatment.

Objective:To study the risk and pattern of deaths caused by various diseases in the population and in the case of long-term occupational X-ray exposure.Methods:Using a combination of retrospective and prospective cohort research methods, an exposure group of medical X-ray diagnostic workers who worked in the radiology department of Jiangsu Provincial Hospital between 1950 and 1980 and a control group of medical workers from other departments who did not work with radiolog during the same period in the same hospital were selected to form a study cohort. The cumulative number of person years of observation in the cohort during 1950-2011 was calculated, and the Cox regression model was used to calculate the risk of deaths of medical X-ray diagnostic workers for various diseases through adjusting sex, attained age, birth age, and starting working age.Results:A total of 6 953 follow-up visits was completed to the cohort, including 3 649 in the radiation group and 3 304 in the control group, with a total of 347 362 person years of observation. There were 2 099 deaths in the cohort as of December 31, 2021. Cox regression results showed that diseases with a significantly higher risk of death in the radiation group compared with the control group were: all-cancer ( RR=1.20, 95% CI: 1.04-1.39, Z=2.56, P<0.05, including lung cancer RR=1.52, 95% CI: 1.17-1.98, Z=3.10, P<0.01, and pancreatic cancer RR=1.96, 95% CI: 1.11-3.46, Z=2.31, P<0.05); diseases of the circulatory system ( RR=1.29, 95% CI: 1.06-1.57, Z=2.58, P<0.01); endocrine, nutritional and metabolic diseases ( RR=1.90, 95% CI: 1.06-3.42, Z=2.14, P<0.05). Stratified analyses showed that, of male workers, the radiation group had an increased risk of death caused by all-cancer and lung cancer ( Z=3.50, 2.92, P<0.01); of the age group at starting ages 26 to 30, the radiation group had an increased risk of death distributed to circulatory diseases ( Z=2.06, P<0.05); and in the age group at attained ages elder than 61 years, the radiation group had an increased risk of death distributed to all cancers, lung cancer, and circulatory diseases ( Z=2.90-4.31, P<0.01). Conclusions:As has been shown, threre is an increasing risk of death distributed to lung cancer, pancreatic cancer, and circulatory diseases in medical X-ray diagnostic workers in Jiangsu province. Further in-depth research in related areas may be conducted in the future.

Objective To investigate the effects of electroacupuncture for the restoration of muscle regeneration and the secretion of exosomes around acupoints in a model of erector spinae muscle injury.Methods Forty SPF-grade male SD rats were randomly divided into blank group,model group,electroacupuncture group,and electroacupuncture+exosome inhibitor group,with 10 rats per group.Except for the blank group,the erector spinae muscle injury models were established in other groups by intramuscular injection of 0.5%bupivacaine.The blank control group received no treatment,whereas the rats in the electroacupuncture and electroacupuncture+exosome inhibitor groups were treated with electroacupuncture at"Weizhong"(BL40)and"Shenshu"(BL23)acupoints,respectively,stimulation was applied daily for 7 consecutive days,with each session lasting 20 minutes.The parameters used were a sparse-dense wave waveform,a frequency of 2/10 Hz,and a current intensity of 1 mA.The exosome inhibitor GW4869(3 g/L,50 μL per acupoint)was injected 1 h before each electroacupuncture in the electroacupuncture+exosome inhibitor group.After intervention,the erector spinae muscles were collected and observed by HE and Masson staining for morphological changes.The expression of paired box gene 7(Pax7)and recombinant myogenic differentiation(MyoD)was detected by immunohistochemistry,while the expression of myogenin(MyoG)and myosin heavy chain(MyHC)proteins was detected by western blotting.The serum exosomes of rats in each group were extracted and identified by transmission electron microscopy and nanoparticle tracking analysis,and the expression of Alix,differentiation cluster 63(CD63),and tumor susceptibility gene 101(TSG101)proteins were detected by Western blotting.Results Compared with the blank group,the model group,the electroacupuncture group,and the electroacupuncture+exosome inhibitor group exhibited spinae muscle fiber fragmentation,degeneration,necrosis,and inflammatory cell infiltration in HE staining.The result of Masson staining showed that collagen fiber hyperplasia was increased.The model group showed increased expression of MyoD,Pax7,MyoG,MyHC,and CD63,while TSG101 expression was downregulated(P<0.05).In the electroacupuncture group,the expression of MyoD,Pax7,Alix,and TSG101 was elevated(P<0.05),and the expression of MyHC and CD63 was decreased(P<0.05).The electroacupuncture+exosome inhibitor group displayed increased expression of MyHC,Alix,and TSG101(P<0.05),and the expression of CD63 was decreased(P<0.05).Compared with the model group,the electroacupuncture group and the electroacupuncture+exosome inhibitor group showed reduced muscle fiber degeneration,necrotic areas,and inflammatory cell infiltration as observed in HE staining,along with decreased collagen fiber hyperplasia in Masson staining.Specifically,the electroacupuncture group demonstrated increased expression of MyoD,Pax7,MyoG,Alix,and TSG101(P<0.05),and the expression of CD63 was decreased(P<0.05).The electroacupuncture+exosome inhibitor group displayed downregulated expression of Pax7,MyoG,MyHC,and CD63(P<0.05),and the expression of Alix and TSG101 was regulated(P<0.05).Compared with the electroacupuncture+exosome inhibitor group,the electroacupuncture group exhibited less muscle fiber degeneration and necrosis,reduced inflammatory cell infiltration in HE staining,and decreased stained collagen fibers in Masson staining.The electroacupuncture group showed increased expression of MyoD,Pax7,MyoG,MyHC,Alix,and CD63(P<0.05).Conclusion Electroacupuncture can up-regulate the expression of Pax7 and MyoD,and promote the regeneration of erector spinae muscles,which may be related to stimulating the secretion of exosomes around the acupoint.Exosomes may be an important mediator for the efficacy of acupuncture.

Objective:To explore the differences between the Phoenix sepsis scoring system including Phoenix sepsis score (PSS) and Phoenix-8 organ dysfunction score (hereinafter referred to as Phoenix-8) and the commonly used pediatric sepsis scores in evaluating clinical characteristics and prognostic analysis of pediatric patients with severe sepsis diagnosed under traditional standards, namely the diagnostic criteria from the 2005 International Pediatric Sepsis Consensus Conference.Methods:This study was a retrospective observational study. From December 2020 to March 2023, 202 pediatric patients with severe sepsis meeting the inclusion criteria were admitted to the Children's Hospital of Nanjing Medical University. Based on the sepsis diagnostic criteria outlined in the International Consensus Criteria for Pediatric Sepsis and Septic Shock (2024), the pediatric patients were categorized into a sepsis group and a non-sepsis group. Sepsis group was further subdivided into a death subgroup and a survival subgroup based on the outcomes. The age, hospitalization costs, disease outcome indicators (e.g., mortality rate and incidence of septic shock), major organ (e.g., heart, liver, lungs, and kidneys) damage and their correlations, as well as PSS, Phoenix-8 and commonly used pediatric sepsis scores (e.g., pediatric sequential organ failure assessment (pSOFA), pediatric risk of mortality score Ⅲ (PRISM Ⅲ), pediatric logistic organ dysfunction-2 score (PELOD-2), pediatric multiple organ dysfunction score (P-MODS), pediatric critical illness score (PCIS), and pediatric early warning score (PEWS)) were collected and compared. Receiver operating characteristic (ROC) curve and precision-recall curve were plotted to evaluate the predictive ability of PSS, Phoenix-8, and commonly used pediatric sepsis scores for mortality risk in pediatric patients with severe sepsis under traditional standards. Predictive performance was quantified using the area under the ROC curve (AUROC). Univariate logistic regression analysis was employed to quantify the odds ratios of PSS and Phoenix-8 for predicting mortality risk. Patients with severe sepsis under traditional standards were further stratified into subgroups based on complications and comorbidities, including central nervous system (CNS) diseases, multiple infections, cardiovascular system diseases, shock, and malignancies. The Hosmer-Lemeshow goodness-of-fit test was used to assess calibration of PSS and Phoenix-8, and the DeLong test was used to compare whether there were statistically significant differences in the AUROC of PSS and Phoenix-8 for predicting mortality risk among different subgroups of pediatric patients. Results:Compared with those in non-sepsis group, pediatric patients in sepsis group were significantly older ( Z=-2.92, P<0.05) with higher incidences of septic shock and mortality, hospitalization costs, PRISM Ⅲ, PEWS, pSOFA, PELOD-2, PSS, and Phoenix-8 (with χ2 values of 21.28 and 13.64, respectively, Z values of -1.99, -5.33, -5.10, -8.55, -6.91, -10.98, and -9.93, respectively, P<0.05), and lower PCIS ( Z=-3.34, P<0.05). Compared with those in survival subgroup, hospitalization costs, PSS, Phoenix-8, PRISM Ⅲ, PEWS, pSOFA, PELOD-2, and P-MODS of pediatric patients in death subgroup was significantly higher (with Z values of -2.50, -3.50, -2.47, -5.11, -3.84, -2.94, -3.61, and -3.04, respectively, P<0.05). Compared with those in survival subgroup, the incidences of lung damage and liver damage of pediatric patients in death subgroup were also significantly higher (with χ2 values of 6.20 and 10.94, respectively, P<0.05), and 64.7% (97/150) of patients exhibited two or more concurrent organ damage. For predicting mortality risk in pediatric patients with severe sepsis under traditional standards, the AUROC values for PRISM Ⅲ, PCIS, PEWS, pSOFA, PELOD-2, P-MODS, PSS, and Phoenix-8 were approximately 0.70, with optimal cutoff values of 17.5, 91.0, 5.5, 4.5, 2.5, 4.5, 3.5, and 4.5, respectively; PELOD-2 demonstrated the highest sensitivity (0.83); while PRISM Ⅲ, PSS, and Phoenix-8 showed high specificity (>0.80). Univariate logistic regression analysis showed that for every 1-point increase in the PSS within 24 hours of pediatric intensive care unit admission, the relative risk of mortality increased by 63.7% (with odds ratio of 1.64, 95% confidence interval of 1.34-1.99, P<0.05). Similarly, for every 1-point increase in the Phoenix-8, the relative risk of mortality increased by 37.5% (with odds ratio of 1.38, 95% confidence interval of 1.18-1.60, P<0.05). The AUROC values (around 0.80) of PSS and Phoenix-8 for predicting mortality risk in pediatric patients with severe sepsis combined with CNS diseases, multiple infections, and cardiovascular system diseases were relatively high. In contrast, the AUROC values (0.60-0.80) for predicting mortality risk in pediatric patients with severe sepsis combined with shock or malignant tumors were moderate. All models passed the Hosmer-Lemeshow goodness-of-fit test ( P>0.05). The DeLong test indicated no statistically significant differences in predictive ability between PSS and Phoenix-8 across subgroups of pediatric patients ( P>0.05). Conclusions:PSS and Phoenix-8 exhibited higher specificity than most of the commonly used pediatric sepsis scores in predicting mortality risk under traditional standards. Both scores performed much better in predicting the mortality risk in pediatric patients with severe sepsis combined with CNS diseases, multiple infections, and cardiovascular system diseases.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective To summarize the potential risk factors that may arise in the national drug sampling and testing inspection process in recent years,to focuse on the operation of the quality management system,and to put forward proposals on how to do a good job under the new drug regulatory model of sampling and testing work.Methods Focusing on the investigation of data integrity and authenticity,the analysis focuses on the analysis of risk points such as reagent management,standard substance management,instrument,and facility management,electronic data management and other issues,and carries out a comprehensive verification of the effectiveness of the operation of the quality management system and so on.Results National drug sampling and testing institutes should strengthen the overall quality management,according to the operation of the laboratory,combined with their respective risk characteristics,reagent management,standard substance management,instrument and facility management,electronic data management and other aspects of the risk of systematic sorting and the establishment of the risk alert function,the development of risk warning lists,and the implementation of the corresponding risk control strategy.Conclusion National drug sampling and testing institutes must strengthen the operation of the process of influencing factors in the effective control of the emphasis on the testing of the work of the key control points and continue to standardize and improve the inspection process of the quality system to ensure that the quality of the various activities in a controlled state.

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.