Since its establishment in 2016, the National Rare Diseases Registry System of China (NRDRS) has accumulated valuable case data and bio-specimen for basic and clinical research on rare diseases in China. However, the emerging challenges in clinical diagnosis and treatment of rare diseases make it unable for data and resource platform to fully meet the diversified needs. Under this backdrop, we have developed a protocol to optimize and upgrade the system based on the core functions of the NRDRS platform. The goal is to leverage intelligent digital technologies to transform NRDRS into a new platform integrating multimodal data and auxiliary diagnostic and treatment functions. It is specified as the development and construction of "one platform and four intelligent tools." Currently, we have upgraded and developed NRDRS platform, intelligent tool for genotype-phenotype analysis of rare diseases, AI-assisted diagnostic tool for rare diseases, remote multidisciplinary diagnosis and teaching tool for rare diseases, drug screening and validation tool for rare diseases. The next step will focus on the promotion of the application of these tools in clinical settings in order to address the issue of severe imbalance in the allocation of resources for the diagnosis and treatment of rare diseases. This article provides an overview of the digital and intelligent upgrades of the NRDRS, the trials in applications in clinical settings, and direction in the future.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:During the study period，9 035 strains of Gram-negative bacteria were collected from 51 hospitals，of which 7 895（87.4%）were Enterobacteriaceae and 1 140（12.6%）were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli（ n=4 510，49.9%）， Klebsiella pneumoniae（ n=2 340，25.9%）， Pseudomonas aeruginosa（ n=534，5.9%）， Acinetobacter baumannii complex（ n=405，4.5%）and Enterobacter cloacae（ n=327，3.6%）. The ESBLs-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus spp. were 47.1%（2 095/4 452），21.0%（427/2 033）and 41.1%（58/141），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（58/4 510）and 13.1%（307/2 340）；62.1%（36/58）and 9.8%（30/307）of CREC and CRKP were resistant to ceftazidime/avibactam combination，respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 59.5%（241/405），while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 18.4%（98/534）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions，with statistically significant differences in the prevalence of CRKP and CRPA（ χ2=20.489 and 20.252， P<0.001）. The prevalence of CREC，CRKP，CRPA，CRAB，ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals（ χ2=11.953，81.183，10.404，5.915，12.415 and 6.459， P<0.01 or <0.05），while the prevalence of CRPA was higher in economically developed regions（per capita GDP ≥ 92 059 Yuan）than that in economically less-developed regions（per capita GDP <92 059 Yuan）（ χ2=6.240， P=0.012）. Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend，and Escherichia coli is ranked in the top，while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different，and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.

Paroxysmal nocturnal hemoglobinuria (PNH) is an acquired clonal hematopoietic stem cell disease caused by abnormal expression of glycosylphosphatidylinositol (GPI) on the cell membrane due to mutations in the phosphatidylinositol glycan class A(PIGA) gene. It is commonly characterized by intravascular hemolysis, repeated thrombosis, and bone marrow failure, as well as multiple systemic involvement symptoms such as renal dysfunction, pulmonary hypertension, swallowing difficulties, chest pain, abdominal pain, and erectile dysfunction. Due to the rarity of PNH and its strong heterogeneity in clinical manifestations, multidisciplinary collaboration is often required for diagnosis and treatment. Peking Union Medical College Hospital, relying on the rare disease diagnosis and treatment platform, has invited multidisciplinary clinical experts to form a unified opinion on the diagnosis and treatment of PNH, and formulated the Expert Consensus of Multidisciplinary Diagnosis and Treatment for Paroxysmal Nocturnal Hemoglobinuria (2024), with the hope of promoting the standardization of PNH diagnosis and treatment.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-positive bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-positive bacteria from blood cultures in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:A total of 3 163 strains of Gram-positive pathogens were collected from 51 member units，and the top five bacteria were Staphylococcus aureus（ n=1 147，36.3%），coagulase-negative Staphylococci（ n=928，29.3%）， Enterococcus faecalis（ n=369，11.7%）， Enterococcus faecium（ n=296，9.4%）and alpha-hemolyticus Streptococci（ n=192，6.1%）. The detection rates of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）were 26.4%（303/1 147）and 66.7%（619/928），respectively. No glycopeptide and daptomycin-resistant Staphylococci were detected. The sensitivity rates of Staphylococcus aureus to cefpirome，rifampin，compound sulfamethoxazole，linezolid，minocycline and tigecycline were all >95.0%. Enterococcus faecium was more prevalent than Enterococcus faecalis. The resistance rates of Enterococcus faecium to vancomycin and teicoplanin were both 0.5%（2/369），and no vancomycin-resistant Enterococcus faecium was detected. The detection rate of MRSA in southern China was significantly lower than that in other regions（ χ2=14.578， P=0.002），while the detection rate of MRCNS in northern China was significantly higher than that in other regions（ χ2=15.195， P=0.002）. The detection rates of MRSA and MRCNS in provincial hospitals were higher than those in municipal hospitals（ χ2=13.519 and 12.136， P<0.001）. The detection rates of MRSA and MRCNS in economically more advanced regions（per capita GDP≥92 059 Yuan in 2022）were higher than those in economically less advanced regions（per capita GDP<92 059 Yuan）（ χ2=9.969 and 7.606， P=0.002和0.006）. Conclusions:Among the Gram-positive pathogens causing bloodstream infections in China， Staphylococci is the most common while the MRSA incidence decreases continuously with time；the detection rate of Enterococcus faecium exceeds that of Enterococcus faecalis. The overall prevalence of vancomycin-resistant Enterococci is still at a low level. The composition ratio of Gram-positive pathogens and resistant profiles varies slightly across regions of China，with the prevalence of MRSA and MRCNS being more pronounced in provincial hospitals and areas with a per capita GDP≥92 059 yuan.

The research progress in key technologies for dynamic perception of battlefield casualties was reviewed,including unmanned equipment dynamic mapping,dynamic environment semantic segmentation and casualty detection and identification.The discussion also covered the current state of research on casualty dynamic perception equipment in aerial and ground domains.The development trends of key technologies and equipment for dynamic perception of battlefield casualties were pointed out,and references were provided for enhancing the efficacy of battlefield casualty care and improving medical service support capabilities.[Chinese Medical Equipment Journal,2024,45(9):95-108]

Objective To investigate the application value of preoperative neutrophil-to-lymphocyte ratio(NLR)and thyroid stimulating hormone(TSH)in predicting the risk of lymph node metastasis in the lateral cervical region in papillary thyroid cancer(PTC).Methods Clinical data of 654 patients with PTC were analyzed,and cut-off values for NLR,TSH,and other serological indi-ces were obtained by receiver operating characteristic(ROC)curves for continuous variables.Binary Logistic regression analysis was per-formed,and independent risk factors were included in the Logistic regression model to establish a nomogram.The accuracy and discrimi-nation of the prognostic model were evaluated using C-index and calibration curves.Clinical decision analysis(DCA)curve were used to predict the potential for clinical application.Results The results of multivariate Logistic regression analysis showed that preoperative NLR,TSH,Tg/TSH,T stage,and number of tumor foci were the independent risk factors affecting lymph node metastasis in the lateral neck region of PTC patients(P＜0.05),and a nomogram was constructed with a C-index of 0.730,and the model was validated with a C-index of 0.719,and its calibration curve had good agreement,and the DCA curve indicated a good clinical potential.Conclusion The preoperative NLR low value group and TSH high value group combined with other clinical factors have significant predictive value in predicting lymph node metastasis in the lateral cervical region of PTC.

A portable multi-wavelength spectral detector was developed for on-site,rapid and accurate detection of organic pollutants in surface water using ultraviolet light-emitting diodes(UV-LEDs)and the corresponding spectral detection method was built.By measuring the fluorescence spectrum and absorption light intensity and combining with the multi-wavelength spectral correlation calculation method to analyze the target,the developed detector was able to qualitatively and quantitatively detect organic pollutants that responded in the UV-light range of 260-370 nm.The proposed detector was used to detect polycyclic aromatic hydrocarbons(PAHs)and Rhodamine B.The linear ranges of anthracene and Rhodamine B in absorption mode were 10-100 and 8.5-100 mg/L,respectively.In fluorescence mode,the linear ranges for anthracene and Rhodamine B were 0.006-50 and 0.02-0.781 mg/L,correspondingly.The absorption/fluorescence concurrent mode could extend the detection ranges of anthracene and Rhodamine B to 0.006-100 and 0.02-100 mg/L,respectively.The recoveries of PAHs in surface water ranged from 97.4%to 105.1%for anthracene and 84.5%to 91.2%for anthracene,naphthalene,and pyrene in absorption and fluorescence modes,respectively.The method was accurate in both modes.The mixtures containing PAHs were identified by the proposed method under the optimized multi-wavelength spectral correlation calculation.The results demonstrated that the method could achieve a similarity of 75%or more when identifying two different concentrations of solutions containing a single or a mixture of targets within the linear concentration range of the targets.However,the similarity dropped to less than 25%when identifying two solutions of different substances.The proposed method had excellent recognition abilityof targets.The proposed detector and method combined fluorescence and absorption spectroscopy,which could expand the application of spectroscopy in the in situ rapid identification and detection of pollutants such as PAHs in surface water.

Objective:To investigate the clinical benefit and application value of the Da Vinci robotic surgical system through bilateral axillary areolar approach in cervical lymph node dissection in obese thyroid carcinoma patients.Methods:The clinical data of 117 patients with thyroid cancer admitted to the thyroid and breast surgery Department of the 960th Hospital of the Chinese PLA Joint Logistic Support Force from January 2018 to June 2023 were retrospectively analyzed. There were 55 males and 62 females, aged from 17 to 64 years, with an average age of (36.05±8.77) years. According to body mass index (BMI), patients were divided into normal group (18.5 kg/m 2≤BMI< 24 kg/m 2, n=60) and obese group (BMI≥28 kg/m 2, n=57). Gender, age, BMI, operation time, postoperative drainage fluid volume, tumor diameter, central lymph node dissection and number of metastasis, cervical lymph node dissection and number of metastasis, postoperative hospital stay, postoperative aesthetic satisfaction score and surgical complications of the two groups were analyzed. SPSS 26.0 statistical software was used to analyze the data. Results:All of patients completed the operation successfully, and neither group was transferred to open surgery. The BMI of obese group was higher than that of normal group [(31.35±3.08) kg/m 2vs (22.53±0.82) kg/m 2, t=20.97, P<0.05]. The maximum tumor diameter in the obese group was greater than that in the normal group [(13.81±10.70) mm vs (10.42±5.53) mm, t=2.17, P<0.05]. There were no significant differences in operation time, number of central lymph node dissection and metastasis, number of cervical lymph node dissection and metastasis and postoperative complications between the two groups ( P>0.05). Conclusions:Utilization of the Da Vinci robotic surgical system via the BABA approach demonstrates both safety and feasibility in obese patients with thyroid carcinoma undergoing lateral cervical lymph node dissection. Importantly, this technique does not increase the risk of surgical complications, thus providing a novel alternative for lateral cervical lymph node dissection in obese thyroid carcinoma patients.

Objective To investigate the effect of Ilizarov technique combined with rotational center dome-shaped osteoto-my in the treatment of juvenile distal femoral valgus deformity.Methods A retrospective study was conducted to analyze the clinical data of 11 patients with valgus deformity of the distal femur who had been admitted and followed up completely from January 2016 to October 2020.There were 7 males and 4 females.The 6 patients were on the right side and 5 patients were on the left side.The age ranged from 10 to 14 years old.The center of roration of angulation(CORA)was identified at the distal femur deformity,and dome-shaped osteotomy was performed with the CORA as the midpoint.The annular external fixator was installed according to the needle threading principle of Ilizarov external fixation,and the distal femur was cut off.The valgus deformity under visual inspection of the distal femur was corrected immediately,and the external fixator was fixed and main-tained.The residual deformity and shortening were corrected according to the force line and length of the lower limbs suggested by the weight-bearing full-length anteroposterior and lateral X-rays of both lower limbs.Results All 11 patients were followed up for 13 to 25 months.The time of wearing external fixator was 12 to 17 weeks.In the last follow-up,both lower limbs were measured by the weight-bearing full-length anteroposterior and lateral X-rays,and the length of both lower limbs of 11 patients were equal,and the deformities were corrected.The score of hospital for special surgery(HSS)was used to evaluate the knee function,all of which were excellent.Conclusion The Ilizarov technique was applied in the treatment of distal femoral valgus deformity in adolescents using a rotating central dome-shaped osteotomy.Visual femoral valgus deformity was corrected imme-diately during the operation.After the operation,residual deformities and shortening were dynamically adjusted and corrected according to the force line and shortening degree of lower extremities indicated by the weight-bearing anteroposterior and lateral radiographs of both lower limbs,with minimal damage and fast recovery.

Objective To construct an artificial intelligence assisted diagnosis model based on deep learning for dynamically recognizing gastric lesions and their locations under gastroscopy in real time,and to evaluate its ability to detect and recognize gastric lesions and their locations.Methods The gastroscopy videos of 104 patients in our hospital was retrospectively analyzed,and the video frames were manually annotated.The annotated picture frames of lesion category were divided into the training set and the validation set according to the ratio of 8∶2,and the annotated picture frames of location category were divided into the training set and the validation set according to the patient sources at the ratio of 8∶2.These sets were utilized for training and validating the respective models.YoloV4 model was used for the training of lesion recognition,and ResNet152 model was used for the training of location recognition.The accuracy,sensitivity,specificity,positive predictive value,negative predictive value and location recognition accuracy of the auxiliary diagnostic model were evaluated.Results A total of 68 351 image frames were annotated,with 54 872 frames used as the training set,including 41 692 frames for lesion categories and 13 180 frames for location categories.The validation set consisted of 13 479 frames,comprising 10 422 frames for lesion categories and 3 057 frames for location categories.The lesion recognition model achieved an overall accuracy of 98.8%,with a sensitivity of 96.6%,specificity of 99.3%,positive predictive value of 96.3%,and negative predictive value of 99.3% in validation set.Meanwhile,the location recognition model demonstrated an top-5 accuracy of 87.1% .Conclusion The artificial intelligence assisted diagnosis model based on deep learning for real-time dynamic recognition of gastric lesions and their locations under gastroscopy has good ability in lesion detection and location recognition,and has great clinical application prospects.