ObjectiveTo analyze the changes in the degree of coordination of China's major epidemic prevention and control efforts before and after the outbreak of the Corona Virus Disease 2019 (COVID-19), so as to explore the impact of epidemic prevention and control measures on coordination dynamics. MethodsA total of 3 864 policy documents related to epidemic prevention and control from January 2000 to December 2020 across 31 provinces (autonomous regions, and municipalities) in China were systematically collected. Contents specific to collaborative and cooperative efforts were extracted, and the extent of interdepartmental coordination were quantified to assess the effectiveness of epidemic prevention and control efforts. Wilcoxon signed-rank test was adopted to statistically analyze the differences between the indicators before and after the epidemic. ResultsThe average overall coordination level for major epidemic prevention and control in 31 provinces (autonomous regions, and municipalities) increased from 43.06% to 97.62%, and the average coordination levels in the eastern, central, and western China soared from 42.29%, 37.50%, and 47.46%, to 98.81%, 96.20%, and 97.46%, respectively, with statistically significant differences (all P<0.05). In terms of department categorization, coordination levels in the professional departments and the key support departments peaked at 100.00%, while other support departments rose to 95.43%, with an increase of 77.15%, 181.85%, and 139.89%, respectively, exhibiting noteworthy statistically significant differences (all P<0.001). ConclusionThe scope of coordination departments of China’s major epidemic prevention and control exists a remarkable surge following the COVID-19 outbreak, notable heightened coordination is particularly observed among the key support departments. Future endeavors should prioritize the roles played by diverse departments in epidemic prevention and control, enhancing both the clarity of departmental responsibilities and the effectiveness of interdepartmental coordination.

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

In order to support the implementation of the Opinions on Improving the Quality of Traditional Chinese Medicine and Promoting the High-Quality Development of the Traditional Chinese Medicine Industry and fundamentally promote the high-quality development of Chinese materia medica(CMM) industry, this article analyzed the quality and safety issues arising during the transition of CMM from wild harvesting to cultivation. Root causes of these issues were identified, including changes in the habitats of medicinal plants caused by inappropriate field cultivation patterns, excessive use of chemical inputs such as fertilizers and pesticides, and shortened cultivation periods due to rising economic costs. To address the above issues, the following countermeasures and suggestions were proposed to advance the high-quality development of CMM:(1) comprehensively adjust the cultivation patterns, vigorously promote ecological cultivation of CMM, and ensure production quality and safety of CMM from the source;(2) strengthen the breeding of high-quality, stress-resistant CMM varieties, improve cultivation techniques to reduce the use of fertilizers and pesticides, and improve the quality and efficiency of ecological cultivation of CMM;(3) systematically design the production, operation, and supervision models for ecological cultivation of CMM, carry out demonstrations of "high quality with fair price", and ensure the sustainable development of ecological cultivation of CMM.
Drugs, Chinese Herbal/standards* ; Quality Control ; Plants, Medicinal/chemistry* ; Plant Roots/chemistry* ; China ; Fertilizers/analysis* ; Materia Medica/standards* ; Medicine, Chinese Traditional/standards*

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

Pharmacokinetics of traditional Chinese medicine(TCM)is a discipline that adopts pharmacokinetic research methods and techniques under the guidance of TCM theories to elucidate the dynamic changes in the absorption,distribution,metabolism and excretion of active ingredients,active sites,single-flavour Chinese medicinal and compounded formulas of TCM in vivo.However,the sources and components of TCM are complex,and the pharmacodynamic substances and mechanisms of action of the majority of TCM are not yet clear,so the pharmacokinetic study of TCM is later than that of chemical medicines,and is far more complex than that of chemical medicines,and its development also confronts with challenges.The pharmacokinetic study of TCM originated in the 1950s and has experienced more than 70 years of development from the initial in vivo study of a single active ingredient,to the pharmacokinetic and pharmacodynamic study of active ingredients,to the pharmacokinetic study of compound and multi-component of Chinese medicine.In recent years,with the help of advanced extraction,separation and analysis technologies,gene-editing animals and cell models,multi-omics technologies,protein purification and structure analysis technologies,and artificial intelligence,etc.,the pharmacokinetics of TCM has been substantially applied in revealing and elucidating the pharmacodynamic substances and mechanisms of action of Chinese medicines,research and development of new drugs of TCM,scientific and technological upgrading of large varieties of Chinese patent medicines,as well as guiding the rational use of medicines in clinics.Pharmacokinetic studies of TCM have made remarkable breakthroughs and significant development in theory,methodology,technology and application.In this paper,the history of the development of pharmacokinetics of TCM and the progress of cutting-edge research was reviewed,with the aim of providing ideas and references for the pharmacokinetics of TCM and related research.

Objective:To evaluate the role of minimal residual disease (MRD) monitoring during early induction therapy for the treatment of childhood acute lymphoblastic leukemia (ALL).Methods:This was a multicenter retrospective cohort study. Clinical data of 1 164 ALL patients first diagnosed between October 2016 and June 2019 was collected from 16 hospitals in South China Children′s Leukemia Group. According to MRD assay on day 15 of early induction therapy, they were divided into MRD<0.10% group, MRD 0.10%-<10.00% group and MRD≥10.00% group. According to MRD assay on day 33, they were divided into MRD<0.01% group, MRD 0.01%-<1.00% group and MRD≥1.00% group. Age, onset white blood cell count, central nervous system leukemia (CNSL), molecular genetic characteristics and other data were compared between groups. Kaplan-Meier method was used for survival analysis. Cox regression model was used to analyze prognostic factors.Results:Of the 1 164 enrolled patients, there were 692 males and 472 females. The age of diagnosis was 4.7 (0.5, 17.4) years. The white blood cell count at initial diagnosis was 10.7 (0.4, 1 409.0) ×10 9/L. Among all patients, 53 cases (4.6%) had CNSL. The follow-up time was 47.6 (0.5, 68.8) months. The 5-year overall survival (OS) and 5-year relapse-free survival (RFS) rates were (93.1±0.8) % and (90.3±1.1) %. On day 15 of early induction therapy, there were 466 cases in the MRD<0.10% group, 523 cases in the MRD 0.10%-<10.00% group and 175 cases in the MRD≥10.00% group. The 5-year OS rates of the MRD<0.10% group, MRD 0.10%-<10.00% group and MRD≥10.00% group were (95.4±1.0) %, (93.3±1.1) %, (85.4±2.9) %, respectively, while the RFS rates were (93.2±1.6) %, (90.8±1.4) %, (78.9±4.3) %, respectively ( χ2=16.47, 21.06, both P<0.05). On day 33 of early induction therapy, there were 925 cases in the MRD <0.01% group, 164 cases in the MRD 0.01%-<1.00% group and 59 cases in the MRD≥1.00% group. The 5-year RFS rates in the MRD 0.01%-<1.00% group was lowest among three groups ((91.4±1.2) % vs. (84.5±3.2) % vs. (87.9±5.1) %). The difference between three groups is statistically significant ( χ2=9.11, P=0.010). Among ALL patients with MRD≥10.00% on day 15 of induction therapy, there were 80 cases in the MRD <0.01% group on day 33, 45 cases in the MRD 0.01%-<1.00% group on day 33 and 45 cases in the MRD≥1.00% group on day 33. The 5-year RFS rates of three groups were (83.9±6.0)%, (67.1±8.2)%, (83.3±6.9)% respectively ( χ2=6.90, P=0.032). Univariate analysis was performed in the MRD≥10.00% group on day 15 and the MRD 0.01%-<1.00% group on day 33.The 5-year RFS rate of children with CNSL was significantly lower than that without CNSL in the MRD≥10.00% group on day 15 ((50.0±20.4)% vs. (80.3±4.4)%, χ2=4.13, P=0.042). Patients with CNSL or MLL gene rearrangement in the MRD 0.01%-<1.00% group on day 33 had significant lower 5-year RFS rate compared to those without CNSL or MLL gene rearrangement ((50.0±25.0)% vs. (85.5±3.1)%, χ2=4.06, P=0.044;(58.3±18.6)% vs. (85.7±3.2)%, χ2=9.44, P=0.002). Multivariate analysis showed that age ( OR=0.58, 95% CI 0.35-0.97) and white blood cell count at first diagnosis ( OR=0.43, 95% CI 0.27-0.70) were independent risk factors for OS. The MRD level on day 15 ( OR=0.55,95% CI 0.31-0.97), ETV6-RUNX1 fusion gene ( OR=0.13,95% CI 0.03-0.54), MLL gene rearrangement ( OR=2.55,95% CI 1.18-5.53) and white blood cell count at initial diagnosis ( OR=0.52,95% CI 0.33-0.81) were independent prognostic factors for RFS. Conclusions:The higher the level of MRD in early induction therapy, the worse the OS. The MRD levels on day 15 is an independent prognostic factor for RFS.The MRD in early induction therapy guided accurate risk stratification and individualized treatment can improve the survival rate of pediatric ALL.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To study the clinical characteristics of children with anti-neutrophil cytoplasmic antibody(ANCA)-associated vasculitis(AAV).Methods A retrospective analysis was conducted on the clinical data of 25 children diagnosed with AAV at the Second Xiangya Hospital of Central South University from January 2010 to June 2022.Results Among the AAV children,there were 5 males and 20 females,with a median age of onset of 11.0 years.Involvement of the urinary system was seen in 18 cases(72%);respiratory system involvement in 10 cases(40%);skin involvement in 6 cases(24%);eye,ear,and nose involvement in 5 cases(20%);joint involvement in 4 cases(16%);digestive system involvement in 2 cases(8%).Eleven cases underwent kidney biopsy,with 5 cases(46%)showing focal type,2 cases(18%)showing crescentic type,2 cases(18%)showing mixed type,and 2 cases(18%)showing sclerotic type.Immune complex deposits were present in 5 cases(45%).Seven cases reached chronic kidney disease(CKD)stage Ⅴ,with 2 cases resulting in death.Two cases underwent kidney transplantation.At the end of the follow-up period,2 cases were at CKD stage Ⅱ,and 1 case was at CKD stage Ⅲ.Of the 16 cases of microscopic polyangiitis(MPA)group,13(81%)involved the urinary system.Of the 9 cases of granulomatosis with polyangiitis(GPA),6 cases(66%)had sinusitis.Serum creatinine and uric acid levels were higher in the MPA group than in the GPA group(P<0.05),while red blood cell count and glomerular filtration rate were lower in the MPA group(P<0.05).Conclusions AAV is more common in school-age female children,with MPA being the most common clinical subtype.The onset of AAV in children is mainly characterized by renal involvement,followed by respiratory system involvement.The renal pathology often presents as focal type with possible immune complex deposits.Children with MPA often have renal involvement,while those with GPA commonly have sinusitis.The prognosis of children with AAV is poor,often accompanied by renal insufficiency.

Objective To compare the clinical and molecular epidemiological characteristics between NDM-1-pro-cucing and KPC-2-procucing carbapenem-resistant Klebsiella pneumoniae(CRKP).Methods Clinically isolated non-repetitive CRKP strains from children in a children's hospital from 2017 to 2020 were retrospectively analyzed.Basic clinical characteristics of the patients from whom strains were detected were obtained by referring to their medical records.Antimicrobial susceptibility testing and multilocus sequence typing(MLST)analysis on CRKP were performed.Clinical and molecular epidemiological characteristics of NDM-1-procucing and KPC-2-producing CRKP were compared.Results A total of 164 CRKP strains were collected from 2017 to 2020,among which 96 strains carried blaNDM-0 and 68 strains carried blaKPC-2.NDM-1-producing CRKP were mainly from neonatal depart-ment,while KPC-2-producing CRKP were mostly from non-neonatal departments.There were statistically signifi-cant differences in specimen sources,patient's age,department distribution,and prognosis between the two groups(all P＜0.05).NDM-1-producing CRKP strains were mainly ST 17 and ST 278,accounting for 40.63％and 18.75％respectively,while KPC-2-producing CRKP strains were mainly ST 11(73.53％).Resistance rates of KPC-2-pro-ducing CRKP to cefepime,aztreonam,imipenem,amikacin,gentamicin,furanotoin and fosfomycin were higher than those of NDM-1-producing CRKP,all with statistical significance(all P＜0.05).Conclusion Clinical and mo-lecular epidemiological characteristics of NDM-1-procucing and KPC-2-producing CRKP strains are different.KPC-2-producing CRKP strains show more serious antimicrobial resistance and poor prognosis in patients,thus should be paid more attention in clinic and infection control.

Objective To evaluate the correlation between 3D morphological parameters of aneurysms based on the computer-assisted semi-automated measurement and the risk of aneurysm rupture.Methods From October 2019 to October 2022,patients with ruptured multiple aneurysms admitted to the Department of Neurosurgery of Xuanwu Hospital,Capital Medical University were retrospectively included.Aneurysmal morphological parameters(including aneurysmal diameter,maximum diameter,width,neck width,volume,flow angle,parental artery diameter,surface area,wave index and non-spherical index)were measured by computer-assisted semi-automated measurement methods.The length-to-width ratio,wide-to-neck ratio,aspect ratio and size ratio were calculated,and the aneurysm location information was recorded.The ruptured aneurysms in multiple aneurysms were included in the ruptured group,and the remaining aneurysms were included in the unruptured group.Uni variable analysis and binary Logistic analysis were used to evaluate the differences in morphological parameters and location information between the ruptured and unruptured groups.Results All 56 patients with multiple ruptured aneurysms and a total of 126aneurysms were included in the group for analysis.Concerning morphology,including diameter＞5 mm(51.8％[29/56]vs.15.7％[11/70],P＜0.01),maximum diameter＞6mm(57.1％[32/56]vs.25.7％[18/70],P＜0.01),flow angle＞107°(57.1％[32/56]vs.35.7％[25/70],P=0.016),wide-to-neck ratio＞1.1(50.0％[28/56]vs.30.0％[21/70],P=0.022),aspect ratio＞1.1(46.4％[26/56]vs.25.7％[18/70],P=0.015)and size ratio＞1.9(57.1％[32/56]vs.10.0％[7/70],P＜0.01),there was significant difference between the ruptured and unruptured group;Concerning locations,aneurysms are mainly located in the posterior communicating segment of the internal carotid artery(39.3％[22/56])and the middle cerebral artery(23.2％[13/56])in ruptured group,while in the middle cerebral artery(28.6％[20/70])and the non-posterior communicating segment of internal carotid artery(27.1％[19/70])in unruptured group,and there was significant difference in distribution of aneurysm locations(P=0.003).Multivariate Logistic regression analysis showed that size ratio＞1.9 was an independent risk factor for aneurysm rupture(OR,11.62,95％CI 2.40-56.15;P=0.002).Concerning locations,posterior communicating artery aneurysms had a significantly higher risk of rupture compared with the non-posterior communicating segment of internal carotid artery(OR,19.25,95％CI 2.19-169.51;P=0.008).Conclusion For multiple intracranial aneurysms,the size ratio of the three-dimensional morphological parameters of aneurysms＞1.9 is an independent risk factor for aneurysm rupture,and the rupture risk of posterior communicating artery aneurysms is significantly higher than that of non-posterior communicating segment of internal carotid artery.