Objective: To compare the predictive performance of the seasonal autoregressive integrated moving average (SARIMA) model, the Prophet model, and the Bayesian structural time series (BSTS) model in forecasting the incidence of hand, foot, and mouth disease (HFMD) , so as to provide a basis for optimizing the early warning system of this disease. Methods: Weekly incidence data of HFMD in Longgang District, Shenzhen City from 2014 to 2024 were collected. The HFMD incidence data from 2014-2019 and 2023 were used as the training set to construct SARIMA, Prophet, and BSTS models, while the data from 2024 were used as the test set to compare and evaluate the predictive performance of the three models. The technique for order preference by similarity to ideal solution (TOPSIS) method was employed to calculate the C-value. This approach integrates multiple evaluation metrics, such as the mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), and symmetric mean absolute percentage error (SMAPE), to comprehensively assess model performance. Results: A total of 150 111 cases of HFMD were reported in Longgang District from 2014 to 2024, with an average annual incidence of 400.72/105. The weekly incidence fluctuated between 0 and 63.78/105, exhibiting a bimodal seasonal pattern characterized by a primary peak from May to July and a secondary peak from September to October. In the training set, all three models demonstrated a good fit to the bimodal epidemic trend of HFMD, with the BSTS model achieving the best fit. The BSTS model yielded performance metrics as follows: MAE=0.124, MSE=0.050, RMSE=0.223, SMAPE=0.021, and a C-value of 1.000. In the test set, all three models, including SARIMA, Prophet, and BSTS, performed well for short-term predictions (≤16 weeks), with the Prophet model showing relatively superior predictive performance. However, the prediction accuracy of all models declined as the forecast horizon extended. During the primary peak period (May-July), the Prophet model exhibited better predictive performance, whereas the BSTS model performed relatively better during the secondary peak period (September-October). Conclusions For the short-term forecasting of weekly HFMD incidence, the Prophet model outperformed both the SARIMA and BSTS models. During the primary peak period, the Prophet model demonstrated superior predictive performance, whereas the BSTS model exhibited better accuracy in forecasting the secondary peak period.

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 effects of hypoxia on the transcriptional phenotype and ultrastructure of tumor-associated macrophages(TAMs)in glioma.Methods CD14+monocytes were isolated from healthy human peripheral blood samples collected from the Blood Bank of the First Affiliated Hospital of Army Medical University,and the cells were induced to differentiate into TAMs through co-culture with glioma cell-conditioned medium.Hypoxic TAM models were established using varying concentrations of cobalt chloride hexahydrate(CoCl2,50～400 μmol/L)or hypoxic conditions(1%,5%,10%O2)for 48 h,while normoxic TAM models(21%O2)served as controls.RT-qPCR and transcriptome sequencing were employed to analyze transcriptional changes in TAMs under normoxic and hypoxic conditions.Gene set enrichment analysis(GSEA)was applied to compare the differences in angiogenesis,glycolysis and other hypoxia-responsive pathways between the 2 conditions.Transmission electron microscopy(TEM)or immunofluorescence staining was conducted to assess the ultrastructural alterations in cytoskeleton,endoplasmic reticulum(ER),and mitochondria in normoxic and hypoxic TAMs(1%O2).Results Hypoxic TAMs exhibited up-regulated transcription of hypoxia-responsive markers(oxygen transport,glycolysis,pro-angiogenesis),with the effects correlating with hypoxia severity(P<0.05).GSEA revealed significant up-regulation of hypoxia,angiogenesis regulation,glycolysis and gluconeogenesis,and starvation stress pathways,alongside down-regulation of innate immunity,macrophage activation,cytoskeleton,and protein maturation pathways in hypoxic TAMs(P<0.05).TEM and immunofluorescence staining demonstrated obvious ultrastructure changes,including disrupted cytoskeletal organization,shortened rough ER with reduced ribosomes,mitochondrial swelling with cristae damage,and diminished ER-mitochondria contacts in hypoxic TAMs.Conclusion CoCl2 and hypoxia induce a hypoxic transcriptional phenotype in TAMs,which may potentially associated with ultrastructural remodeling of the cytoskeleton,ER,and mitochondria.

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.

Objective To investigate the value of the absolute number of lymphocyte subpopulations as an early warning indicator for children with SMPP(severe mycoplasma pneumonia,SMPP)and to analyze the character-istics observed via bronchoscopy,thereby providing a valuable reference for the early diagnosis of SMPP.Methods This study included 102 children with Mycoplasma pneumoniae pneumonia(MPP),comprising 54 cases of common MPP and 48 cases of SMPP.The lymphocyte subpopulations,clinical characteristics,and laboratory indicators were analyzed.Results There were statistically significant differences between the two groups in the absolute number levels of lymphocyte subpopulations CD3+CD19-T,CD4+T,CD3-CD19+B,CD3-/CD16+CD56+NK cells(P<0.05).The absolute numbers of CD3+CD19-T,CD4+T,CD3-CD19+B,and CD3-/CD16+CD56+NK cells showed negative correlations with serum ferritin,LDH,CRP,and D-D,respectively(P<0.05).Multifactorial logistic regression analysis identified the absolute numbers of CD3+CD19-T,CD4+T,CD3-CD19+B,and CD3-/CD16+CD56+NK cells as independent risk factors for severe Mycoplasma pneumoniae pneumonia(SMPP).ROC analysis demonstrated that the areas under the curve for diagnosing SMPP based on the absolute numbers of CD3+CD19-T,CD4+T,CD3-CD19+B,and CD3-/CD16+CD56+NK cells were 0.711,0.887,0.856,and 0.860,respectively,with sensitivities of 47.4%,80.8%,82.1%,and 92.3%,and specificities of 89.7%,87.2%,75%,and 70.5%,respectively.The combined ROC curve of the four lymphocyte subsets had an area of 0.983,with a sensitivity of 97.4%and specificity of 92.3%.The proportions of bronchoscopy findings and microscopic examination of mucus plugs in the SMPP group were significantly higher than those in the ordinary MPP group(P<0.05).In the mucoid plug subgroup,the absolute numbers of CD3?CD19?T cells and CD4?T cells were significantly lower compared to the non-mucoid plug subgroup,while the percentage of CD8?T cells increased and the CD4?/CD8? ratio decreased(all P<0.05).Conclusions The absolute number of CD3+CD19-T,CD4+T,CD3-CD19+B,and CD3-/CD16+CD56+NK cells in peripheral blood serves as a highly sensitive and specific predictor of small airway mucus plugging phenomenon(SMPP)and can thus be utilized as a potential biomarker for SMPP.Microscopic analysis under SMPP conditions reveals a high prevalence of mucus plugs,necessitating proactive bronchoscopic intervention.Furthermore,the significant imbalance in T cell subpopulations is strongly correlated with the formation of mucus plugs observed during bronchoscopy.

Objective:To construct a clinical practice training system for master′s degree students specializing in oral nursing based on the competency iceberg model for job performance, and to provide a valuable reference for the clinical training of master′s students in oral nursing.Methods:The research team initially formulated the components of the clinical practice training system through an extensive literature review and semi-structured interviews. From October 17, 2023, to November 13, 2023, the Delphi expert consultation methodology was utilized to facilitate two rounds of inquiries involving 20 specialists in the domain of oral care.Results:The positive coefficients of the two rounds of expert inquiries were 95.24% (20/21) and 100.00% (21/21). The authority coefficients were 0.925 and 0.929, while the variation coefficients ranged from 0.00 to 0.22 and from 0.05 to 0.11. Additionally, Kendall′s harmony coefficients were 0.229 and 0.319 (both P<0.01). The finalized training system included training objectives, training content, training requirements and examinations, totaling 3 first-level items, 18 second-level items and 67 third-level items. Conclusions:The training system of clinical practice for oral nursing graduate students constructed in this study is informative and reliable, and can provide reference for clinical practice of professional postgraduates in oral nursing.

Objective To investigate the value of the absolute number of lymphocyte subpopulations as an early warning indicator for children with SMPP(severe mycoplasma pneumonia,SMPP)and to analyze the character-istics observed via bronchoscopy,thereby providing a valuable reference for the early diagnosis of SMPP.Methods This study included 102 children with Mycoplasma pneumoniae pneumonia(MPP),comprising 54 cases of common MPP and 48 cases of SMPP.The lymphocyte subpopulations,clinical characteristics,and laboratory indicators were analyzed.Results There were statistically significant differences between the two groups in the absolute number levels of lymphocyte subpopulations CD3+CD19-T,CD4+T,CD3-CD19+B,CD3-/CD16+CD56+NK cells(P<0.05).The absolute numbers of CD3+CD19-T,CD4+T,CD3-CD19+B,and CD3-/CD16+CD56+NK cells showed negative correlations with serum ferritin,LDH,CRP,and D-D,respectively(P<0.05).Multifactorial logistic regression analysis identified the absolute numbers of CD3+CD19-T,CD4+T,CD3-CD19+B,and CD3-/CD16+CD56+NK cells as independent risk factors for severe Mycoplasma pneumoniae pneumonia(SMPP).ROC analysis demonstrated that the areas under the curve for diagnosing SMPP based on the absolute numbers of CD3+CD19-T,CD4+T,CD3-CD19+B,and CD3-/CD16+CD56+NK cells were 0.711,0.887,0.856,and 0.860,respectively,with sensitivities of 47.4%,80.8%,82.1%,and 92.3%,and specificities of 89.7%,87.2%,75%,and 70.5%,respectively.The combined ROC curve of the four lymphocyte subsets had an area of 0.983,with a sensitivity of 97.4%and specificity of 92.3%.The proportions of bronchoscopy findings and microscopic examination of mucus plugs in the SMPP group were significantly higher than those in the ordinary MPP group(P<0.05).In the mucoid plug subgroup,the absolute numbers of CD3?CD19?T cells and CD4?T cells were significantly lower compared to the non-mucoid plug subgroup,while the percentage of CD8?T cells increased and the CD4?/CD8? ratio decreased(all P<0.05).Conclusions The absolute number of CD3+CD19-T,CD4+T,CD3-CD19+B,and CD3-/CD16+CD56+NK cells in peripheral blood serves as a highly sensitive and specific predictor of small airway mucus plugging phenomenon(SMPP)and can thus be utilized as a potential biomarker for SMPP.Microscopic analysis under SMPP conditions reveals a high prevalence of mucus plugs,necessitating proactive bronchoscopic intervention.Furthermore,the significant imbalance in T cell subpopulations is strongly correlated with the formation of mucus plugs observed during bronchoscopy.

Lens injury is an important etiological factor in the reduction of visual function following ocular trauma.Currently, there are no clear standards for the classification of lens injury, and comprehensive diagnostic tools are lacking.This deficiency leads to numerous controversies and challenges in critical areas, such as diagnosis and preoperative evalution, timing of surgery, surgical strategy, and assessment of postoperative prognosis.Tomographic imaging technology, such as computed tomography, magnetic resonance imaging, optical coherence tomography, has introduced a new dimension to the evaluation of lens injury, which is crucial for assessing the transparency, texture, location, morphology, and integrity of the lens, as well as the zonules and nearby intraocular structures.However, the use of tomographic imaging technology is somewhat limited due to the limitations of relying on a single method.With the ongoing advancement of imaging technologies and the rapid development of big data and artificial intelligence, tomographic imaging will become an increasingly essential tool in the future management of lens injury.Our expert group reviewed the epidemiological characteristics and classification of lens injury and the major challenges currently faced in the diagnosis and treatment of lens injury, and provided expert recommendations mainly focusing on the application, shortcomings and limitations of current tomographic imaging technology in the diagnosis and treatment of lens injury, and future development directions.

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.