Objective:To investigate the epidemiological and clinical characteristics of patients with nontuberculous mycobacterial infections in Hunan Province using metagenomics next generation sequencing (mNGS) .Methods:Pathological data form 320 patients diagnosed with mycobacterial infections at the Department of Pathology of Hunan People′s Hospital from June 2019 to December 2023 were collected, including HE staining, acid-fast staring, and fungal fluorescence staining. mNGS was utilized for the classification of mycobacterial pathogens.Results:Among 320 patients with mycobacterial infections, 249 cases were positive for Mycobacterium tuberculosis and 71 cases were positive for nontuberculous mycobacteria. Thirteen genera of nontuberculous mycobacteria were identified from the mycobacterial samples, including Mycobacterium chelonae, Mycobacterium avium complex, Mycobacterium abscessus, Mycobacterium gordonae, Mycobacterium intracellulare, Mycobacterium xenopi, Mycobacterium kansasii, Mycobacterium paragordonae, Mycobacterium obuense, Mycobacterium marinum, Mycobacterium fortuitum, Mycobacterium smegmatis and Mycobacterium mageritense. Conclusions:Infections caused by nontuberculous mycobacteria are gradually increasing, transitioning from single-strain infections to multi-strain complex infections. The histopathological features of nontuberculous mycobacterial infections are difficult to distinguish form those of tuberculosis, posing significant challenges for clinical diagnosis and treatment.

Objective:To investigate the application of time series models in forecasting pre-hospital emergency ambulance trips in Handan City and develop the LPro ensemble model for improved prediction accuracy to support emergency resource allocation.Methods:Pre-hospital emergency data from Handan Emergency Medical Command Center (2019-2023) were retrospectively analyzed. From 324 799 original records, 289 949 valid records were included after cleaning. The training set (2019-2022: 215 918 records) included 35 527 records in 2019, 52 015 in 2020, 61 836 in 2021, and 66 540 in 2022. The validation set (2023) contained 74 031 records. ARIMA, linear trend seasonal, exponential smoothing, and Prophet models were fitted to the training set. The LPro ensemble model was constructed using MAPE-based weighting (linear trend seasonal model: 0.38, Prophet: 0.62). Performance metrics included MAPE, RMSE, MAE, and R 2. Results:Data showed annual growth (compound annual growth rate 23.27%) and seasonal patterns (October peaks, February troughs). Ambulance dispatches increased annually with monthly cyclical patterns. For 2023 validation predictions: ARIMA (MAPE 8.76%, RMSE 619, MAE 491, R 2 0.4563), linear trend seasonal (MAPE 9.83%, RMSE 671, MAE 545, R 2 0.3608), Prophet (MAPE 8.43%, RMSE 562, MAE 503, R 2 0.5513), exponential smoothing (MAPE 8.08%, RMSE 643, MAE 410, R 2 0.4124). LPro model showed superior performance (MAPE 7.05%, RMSE 491, MAE 393, R 2 0.6570), with 16.37% lower MAPE, 12.63% lower RMSE, 21.87% lower MAE, and 19.17% higher R 2 versus Prophet. Conclusion:The LPro ensemble model substantially enhances prediction accuracy and reliability, offering scientific support for emergency resource optimization and dispatch scheduling in Handan City.

Purpose To explore the feasibility and clinical value of deep learning-based image reconstruction technology in 5.0T MRI for nasopharyngeal carcinoma.Materials and Methods A prospective study was conducted on 50 newly diagnosed nasopharyngeal carcinoma patients from August to December 2024 at Sun Yat-sen University Cancer Center.5.0T MRI was performed to scan the nasopharynx region.Routine scanning protocols included transverse T2WI,transverse T1WI,transverse contrast-enhanced T1WI and coronal fat-suppressed contrast-enhanced T1WI sequences.Based on these standard scanning protocols,DeepRecon deep learning reconstruction technology with different levels(grade 1-5)was applied,generating a total of 24 sets of images.Qualitative evaluation employed a Likert scale(5-point system)for subjective scoring on lesion detection,lesion edge clarity,artifacts and overall image quality.Quantitative evaluation was performed using the signal-to-noise ratio and contrast-to-noise ratio to objectively assess the quality of the 24 image sets.Differences in qualitative and quantitative indicators between different groups were compared,while the Kappa coefficient was used to analyze the consistency of subjective evaluations by two radiologists.Results In the qualitative assessment of 24 image sets from four MRI sequences(with and without DeepRecon reconstruction),DeepRecon images(grade 2-4)significantly outperformed traditional images in all features except for artifact reduction(Z=-12.11--6.23,all P<0.001).Images reconstructed at DeepRecon grade 3 had the highest overall score and the best image quality.Furthermore,compared with traditional images,DeepRecon images(grade 2-5)demonstrated significantly improved signal-to-noise ratio for both lesions and the lateral pterygoid muscle(t=-15.67--3.44,Z=-6.09--4.63,all P<0.01).In addition,in the transverse T2WI,transverse contrast-enhanced T1WI and coronal fat-suppressed contrast-enhanced T1WI images with DeepRecon reconstruction(grade 2-5),the contrast-to-noise ratio(lesion/lateral pterygoid muscle)also showed significant improvement compared to traditional images(t=-12.71--3.19,Z=-6.08--4.47,all P<0.001).The inter-observer agreement for the overall subjective quality score between the two radiologists was good(Kappa=0.75-0.82,all P<0.01).Conclusion DeepRecon deep learning reconstruction technology significantly increases the signal-to-noise ratio and resolution of traditional magnetic resonance images of nasopharyngeal cancer,improving image clarity and bringing more possibilities for the advancement of imaging diagnosis.

Purpose To explore the feasibility and clinical value of deep learning-based image reconstruction technology in 5.0T MRI for nasopharyngeal carcinoma.Materials and Methods A prospective study was conducted on 50 newly diagnosed nasopharyngeal carcinoma patients from August to December 2024 at Sun Yat-sen University Cancer Center.5.0T MRI was performed to scan the nasopharynx region.Routine scanning protocols included transverse T2WI,transverse T1WI,transverse contrast-enhanced T1WI and coronal fat-suppressed contrast-enhanced T1WI sequences.Based on these standard scanning protocols,DeepRecon deep learning reconstruction technology with different levels(grade 1-5)was applied,generating a total of 24 sets of images.Qualitative evaluation employed a Likert scale(5-point system)for subjective scoring on lesion detection,lesion edge clarity,artifacts and overall image quality.Quantitative evaluation was performed using the signal-to-noise ratio and contrast-to-noise ratio to objectively assess the quality of the 24 image sets.Differences in qualitative and quantitative indicators between different groups were compared,while the Kappa coefficient was used to analyze the consistency of subjective evaluations by two radiologists.Results In the qualitative assessment of 24 image sets from four MRI sequences(with and without DeepRecon reconstruction),DeepRecon images(grade 2-4)significantly outperformed traditional images in all features except for artifact reduction(Z=-12.11--6.23,all P<0.001).Images reconstructed at DeepRecon grade 3 had the highest overall score and the best image quality.Furthermore,compared with traditional images,DeepRecon images(grade 2-5)demonstrated significantly improved signal-to-noise ratio for both lesions and the lateral pterygoid muscle(t=-15.67--3.44,Z=-6.09--4.63,all P<0.01).In addition,in the transverse T2WI,transverse contrast-enhanced T1WI and coronal fat-suppressed contrast-enhanced T1WI images with DeepRecon reconstruction(grade 2-5),the contrast-to-noise ratio(lesion/lateral pterygoid muscle)also showed significant improvement compared to traditional images(t=-12.71--3.19,Z=-6.08--4.47,all P<0.001).The inter-observer agreement for the overall subjective quality score between the two radiologists was good(Kappa=0.75-0.82,all P<0.01).Conclusion DeepRecon deep learning reconstruction technology significantly increases the signal-to-noise ratio and resolution of traditional magnetic resonance images of nasopharyngeal cancer,improving image clarity and bringing more possibilities for the advancement of imaging diagnosis.

Objective:To investigate the epidemiological and clinical characteristics of patients with nontuberculous mycobacterial infections in Hunan Province using metagenomics next generation sequencing (mNGS) .Methods:Pathological data form 320 patients diagnosed with mycobacterial infections at the Department of Pathology of Hunan People′s Hospital from June 2019 to December 2023 were collected, including HE staining, acid-fast staring, and fungal fluorescence staining. mNGS was utilized for the classification of mycobacterial pathogens.Results:Among 320 patients with mycobacterial infections, 249 cases were positive for Mycobacterium tuberculosis and 71 cases were positive for nontuberculous mycobacteria. Thirteen genera of nontuberculous mycobacteria were identified from the mycobacterial samples, including Mycobacterium chelonae, Mycobacterium avium complex, Mycobacterium abscessus, Mycobacterium gordonae, Mycobacterium intracellulare, Mycobacterium xenopi, Mycobacterium kansasii, Mycobacterium paragordonae, Mycobacterium obuense, Mycobacterium marinum, Mycobacterium fortuitum, Mycobacterium smegmatis and Mycobacterium mageritense. Conclusions:Infections caused by nontuberculous mycobacteria are gradually increasing, transitioning from single-strain infections to multi-strain complex infections. The histopathological features of nontuberculous mycobacterial infections are difficult to distinguish form those of tuberculosis, posing significant challenges for clinical diagnosis and treatment.

Vesicular glutamate transporter 2(VGlut2)is expressed in the PVN of the hypothalamic paraventricular nucleus(PVNVG1ut2)as an excitatory neurotransmitter,which regulates food intake and energy metabolism and plays an important role in maintaining homeostasis.However,it is not clear that the upstream and downstream projection network of PVNVGut2 neurons hinders the anal-ysis of glutamatergic neuron circuit function.Anterograde and retrograde tracer viruses were injec-ted into the PVN of VGlut2 mice by stereotactic brain injection technique to find the input and output nuclei of PVNVGlut2 neurons.Anterograde tracing results showed that PVNVGlut2 neurons pro-jected to the downstream medial amygdala(MeAD)and arcuate nucleus(ARC).Retrograde trac-ing results showed that PVNVGlut2 received input from the prefrontal nucleus(Pr),the reticular tegmental nucleus(RtTg),and the hypoglossal nucleus(12N).In addition,VGlut2 was found to be co-expressed with neuronal nitric oxide synthase(nNOS)neurons in the PVN.The anatomical net-work of PVNVG1ut2 neurons was analyzed by virus tracking tool,which laid the anatomical founda-tion for further study on the functional regulation of PVNVGlut2.

BACKGROUND:Temporomandibular joint osteoarthritis is a common oral disease with a high incidence.However,temporomandibular joint osteoarthritis is not easy to be detected in the early stage,and it is difficult to obtain clinical pathological specimens,so it is difficult to carry out related research.The application of digital 3D printing technology to animal models of Temporomandibular joint osteoarthritis increases the consistency of the animal models,thus promoting the study of temporomandibular joint osteoarthritis. OBJECTIVE:To establish a standardized animal model of temporomandibular joint osteoarthritis using novel digital technology. METHODS:According to the different modeling methods of unilateral anterior crossbite,30 female Sprague-Dawley rats were randomly divided into traditional model group,digital model group,and control group(n=10 per group).Cartilage specimens of the condyles were collected at 4 and 8 weeks after modeling.The apparent morphology was observed by stereoscopic microscope.The pathological morphology was observed by hematoxylin-eosin staining and Safranin O/fast green staining.Changes in the expression of interleukin-1β and tumor necrosis factor-α were observed by ELISA,and changes in the expression of aggrecan,type Ⅱ collagen and matrix metalloproteinase-13 were observed by immunohistochemical staining. RESULTS AND CONCLUSION:Different degrees of degeneration were observed in the digital and traditional model groups.The body mass of rats in both the model groups decreased during the 1st week after intervention and subsequently demonstrated growth trend and were significantly lower than that in the control group.The results of stereoscopic microscope showed that at 4 and 8 weeks after modeling,the deformation and defect degree of the digital model group was significantly higher than that of the traditional model group.At these two time points,the Osteoarthritis Research Society International scores of the digital model group and the traditional model group were higher than those of the control group,and the Osteoarthritis Research Society International score of the digital model group was higher than that of the traditional model group(P＜0.05).Histopathological observation showed that the modified Mankin score and Osteoarthritis Research Society International score of the two model groups were significantly higher than those of the control group of the same age at 4 and 8 weeks after modeling(P＜0.05).Immunohistochemical staining results showed that at two time points,compared with the control group of the same age,the expression of aggrecan and type Ⅱ collagen decreased in the traditional model group and the digital model group,while the expression of matrix metalloproteinase 13 increased(P＜0.05).ELISA results showed that the expression levels of inflammatory factors interleukin-1β and tumor necrosis factor-α in the traditional and digital model groups were higher than those in the control group at 8 weeks,and the expression levels of interleukin-1β and tumor necrosis factor-α in the digital model group were higher than those in the traditional model group(P＜0.05).To conclude,the personalized metal tube designed and produced by 3D printing technology can quickly guide the osteoarthritis-like lesions of the temporomandibular joint without repeated trial and adjustment,which is reproducible and suitable for promotion and application.

Objective To analyze the characteristics of visceral leishmaniasis cases in Henan Province, so as to provide insights into formulation of the visceral leishmaniasis control srtrategy. Methods All epidemiological data of reported visceral leishmaniasis cases in Henan Province from 2021 to 2023 were retrieved from the National Notifiable Disease Report Information Management System of Chinese Center for Disease Control and Prevention, and the epidemiological features and diagnosis of visceral leishmaniasis cases were descriptively analyzed. Results A total of 93 visceral leishmaniasis cases were reported in Henan Province from 2021 to 2023, with a male to female ratio of 2.58∶1, and including 2 imported cases from other provinces and 91 local cases. The number of visceral leishmaniasis cases peaked during the period between March and May, and between July and October. The reported visceral leishmaniasis cases had ages of 7 months to 74 years, with the largest number of cases found at ages of 0 to 9 years (26 cases, 27.96%), followed by at ages of 60 to 70 years (24 cases, 25.81%). Farmer (47 cases, 50.54%) and diaspora children (19 cases, 20.43%) were predominant occupations, and 91 local visceral leishmaniasis cases were found in 6 cities of Zhengzhou, Luoyang, Anyang, Hebi, Sanmenxia and Xuchang. The median duration from onset of visceral leishmaniasis to diagnosis was 20 days, and there were 25.81% (24/93) cases with 10 days and less duration from onset to diagnosis, 38.71% (36/93) cases receiving diagnosis at 11 to 30 days following onset, and 35.48% (33/93) cases receiving diagnosis for more than 30 days following onset. All cases were predominantly diagnosed in province- (60.00%) and city-level (28.89%) medical institutions. Conclusions The number of visceral leishmaniasis is on the rise in Henan Province, with a gradually expanding coverage. Intensified monitoring of visceral leishmaniasis cases, dogs, and vectors, dog management, sandflies control and improved individual protection are recommended to prevent the spread of visceral leishmaniasis.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0％ were gram-positive and 71.0％ were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6％,81.9％ and 78.5％,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9％ of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4％ of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1％ in the isolates from children and and 95.9％ in the isolates from adults.The resistance rate to carbapenems was lower than 15.0％ for most Enterobacterales species except for Klebsiella,22.5％ and 23.6％ of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6％ to 10.0％.The resistance rate to imipenem and meropenem was 21.9％ and 17.4％ for Pseudomonas aeruginosa,respectively,and 67.5％ and 68.1％ for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0％ were gram-positive and 71.0％ were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6％,81.9％ and 78.5％,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9％ of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4％ of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1％ in the isolates from children and and 95.9％ in the isolates from adults.The resistance rate to carbapenems was lower than 15.0％ for most Enterobacterales species except for Klebsiella,22.5％ and 23.6％ of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6％ to 10.0％.The resistance rate to imipenem and meropenem was 21.9％ and 17.4％ for Pseudomonas aeruginosa,respectively,and 67.5％ and 68.1％ for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.