Guided by the concept of quality by design(QbD), this study optimizes the calcination and quenching process of calcined Magnetitum and establishes the XRD characteristic spectra of calcined Magnetitum, providing a scientific basis for the formulation of quality standards. Based on the processing methods and quality requirements of Magnetitum in the Chinese Pharmacopoeia, the critical process parameters(CPPs) identified were calcination temperature, calcination time, particle size, laying thickness, and the number of vinegar quenching cycles. The critical quality attributes(CQAs) included Fe mass fraction, Fe~(2+) dissolution, and surface color. The weight coefficients were determined by combining Analytic Hierarchy Process(AHP) and the criteria importance though intercrieria correlation(CRITIC) method, and the calcination process was optimized using orthogonal experimentation. Surface color was selected as a CQA, and based on the principle of color value, the surface color of calcined Magnetitum was objectively quantified. The vinegar quenching process was then optimized to determine the best processing conditions. X-ray diffraction(XRD) was used to establish the characteristic spectra of calcined Magnetitum, and methods such as similarity evaluation, cluster analysis, and orthogonal partial least squares-discriminant analysis(OPLS-DA) were used to evaluate the quality of the spectra. The optimized calcined Magnetitum preparation process was found to be calcination at 750 ℃ for 1 h, with a laying thickness of 4 cm, a particle size of 0.4-0.8 cm, and one vinegar quenching cycle(Magnetitum-vinegar ratio 10∶3), which was stable and feasible. The XRD characteristic spectra analysis method, featuring 9 common peaks as fingerprint information, was established. The average correlation coefficient ranged from 0.839 5-0.988 1, and the average angle cosine ranged from 0.914 4 to 0.995 6, indicating good similarity. Cluster analysis results showed that Magnetitum and calcined Magnetitum could be grouped together, with similar compositions. OPLS-DA discriminant analysis identified three key characteristic peaks, with Fe_2O_3 being the distinguishing component between the two. The final optimized processing method is stable and feasible, and the XRD characteristic spectra of calcined Magnetitum was initially established, providing a reference for subsequent quality control and the formulation of quality standards for calcined Magnetitum.
X-Ray Diffraction/methods* ; Drugs, Chinese Herbal/chemistry* ; Quality Control ; Particle Size

ObjectiveTo investigate the clinical features and outcomes of recompensation in patients with autoimmune hepatitis （AIH）-related decompensated cirrhosis， to identify independent predictive factors， and to construct a nomogram prediction model for the probability of recompensation. MethodsA retrospective cohort study was conducted among the adult patients with AIH-related decompensated cirrhosis who were admitted to The Fifth Medical Center of PLA General Hospital from January 2015 to August 2023 （n=211）. The primary endpoint was achievement of recompensation， and the secondary endpoint was liver-related death or liver transplantation. According to the outcome of the patients at the end of the follow-up， the patients were divided into the recompensation group （n=16） and the persistent decompensation group（n=150）.The independent-samples t test was used for comparison of normally distributed continuous data with homogeneity of variance， and the Mann-Whitney U rank sum test was used for comparison of non-normally distributed continuous data with heterogeneity of variance； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups； the Kaplan-Meier method was used for survival analysis； the Cox proportional-hazards regression model was used to identify independent predictive factors， and a nomogram model was constructed and validated. ResultsA total of 211 patients were enrolled， with a median age of 55.0 years and a median follow-up time of 44.0 months， and female patients accounted for 87.2%. Among the 211 patients， 61 （with a cumulative proportion of 35.5%） achieved recompensation. Compared with the persistent decompensation group， the recompensation group had significantly higher white blood cell count， platelet count （PLT）， total bilirubin （TBil）， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， total bile acid， prothrombin time， international normalized ratio （INR）， SMA positive rate， Model for End-Stage Liver Disease （MELD） score， Child-Pugh score， and rate of use of glucocorticoids （all P0.05）， as well as significantly lower age at baseline， number of complications， and death/liver transplantation rate （all P0.05）. At 3 and 12 months after treatment， the recompensation group had continuous improvements in AST， TBil， INR， IgG， MELD score， and Child-Pugh score， which were significantly lower than the values in the persistent decompensation group （all P0.05）， alongside with continuous increases in PLT and albumin， which were significantly higher than the values in the persistent decompensation group （P0.05）. The multivariate Cox regression analysis showed that baseline ALT （hazard ratio ［HR］=1.067， 95% confidence interval ［CI］： 1.010 — 1.127， P=0.021）， IgG （HR=0.463，95%CI：0.258 — 0.833， P=0.010）， SMA positivity （HR=3.122，95%CI：1.768 — 5.515， P0.001）， and glucocorticoid therapy （HR=20.651，95%CI：8.744 — 48.770， P0.001） were independent predictive factors for recompensation， and the nomogram model based on these predictive factors showed excellent predictive performance （C-index=0.87，95%CI：0.84 — 0.90）. ConclusionAchieving recompensation significantly improves clinical outcomes in patients with AIH-related decompensated cirrhosis. Baseline SMA positivity， a high level of ALT， a low level of IgG， and corticosteroid therapy are independent predictive factors for recompensation. The predictive model constructed based on these factors can provide a basis for decision-making in individualized clinical management.

OBJECTIVE: To investigate the relationship between physical activity and genetic risk and their combined effects on the risk of developing chronic obstructive pulmonary disease. METHODS: This prospective cohort study included 318,085 biobank participants from the UK. Physical activity was assessed using the short form of the International Physical Activity Questionnaire. The participants were stratified into low-, intermediate-, and high-genetic-risk groups based on their polygenic risk scores. Multivariate Cox regression models and multiplicative interaction analyses were used. RESULTS: During a median follow-up period of 13 years, 9,209 participants were diagnosed with chronic obstructive pulmonary disease. For low genetic risk, compared to low physical activity, the hazard ratios ( HRs) for moderate and high physical activity were 0.853 (95% confidence interval [ CI]: 0.748-0.972) and 0.831 (95% CI: 0.727-0.950), respectively. For intermediate genetic risk, the HRs were 0.829 (95% CI: 0.758-0.905) and 0.835 (95% CI: 0.764-0.914), respectively. For participants with high genetic risk, the HRs were 0.809 (95% CI: 0.746-0.877) and 0.818 (95% CI: 0.754-0.888), respectively. A significant interaction was observed between genetic risk and physical activity. CONCLUSION Moderate or high levels of physical activity were associated with a lower risk of developing chronic obstructive pulmonary disease across all genetic risk groups, highlighting the need to tailor activity interventions for genetically susceptible individuals.
Humans ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Exercise ; Male ; Female ; Middle Aged ; Prospective Studies ; Aged ; Genetic Predisposition to Disease ; Risk Factors ; United Kingdom/epidemiology* ; Incidence ; Adult

Objective To compare the positioning errors and the motion of acromioclavicular joint in breast cancer patients with integrated cervicothoracic thermoplastic membrane and breast bracket fixation,and to provide reference for accurate irradiation of upper and lower clavicular region.Methods Sixty-three pa-tients with breast cancer who were treated in the radiotherapy center of the hospital from November 1,2021 to August 9,2023 were selected as the study objects,and were divided into the integrated cervicothoracic thermo-plastic membrane group(n=32)and breast bracket group(n=31)according to different positioning meth-ods.The translation errors of left and right direction(X),head and foot direction(Y)and ventral and dorsal direction(Z)and the rotation errors of sagittal plane(Rx),cross section(Ry)and coronal plane(Rz)of the two groups were analyzed,and the movement amplitude and three-dimensional displacement of acromioclavic-ular joint were measured respectively.Results Compared with the breast bracket group,X translation errors[(0.18±0.14)cm vs.(0.15±0.12)cm]and Z translation errors[(0.19±0.14)cm vs.(0.16±0.14)cm]of the cervicothoracic thermoplastic memberane group were greater,Z translation error[(0.21±0.17)cm vs.(0.22±0.21)cm]and Rx rotation error of cervical and sternoclavicular joints[(0.93±0.87)° vs.(1.08±0.92)°]were smaller,Rz rotation error[(1.00±0.94)° vs.(0.95±0.86)°]was greater,and the motion ΔX of acromioclavicular joint[(0.18±0.15)cm vs.(0.25±0.21)cm]was smaller,the difference was statistically significant(P＜0.05).Conclusion Integrated cervicothoracic thermoplastic membrane can be used as a solu-tion for prophylactic irradiation of breast cancer in the upper and lower clavicular region and for radiation leak-age in the presence of metastasis.

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

OBJECTIVE To analyze the drug resistance,laboratory indicators and clinical characteristics of blood-stream infections caused by Enterobacter in children,providing references for early empirical treatment.METHODS A retrospective analysis was conducted on the clinical data of 302 children(aged 29 days to 12 years)with bloodstream infections caused by Enterobacter(monomicrobial infections)admitted to the Maternity and Child Health Care of Guangxi Zhuang Autonomous Region from Jan.2017 to Dec.2023.The drug resistance of Enterobacter and major pathogens were analyzed across different age groups of children.Based on prognosis,the children were divided into a favorable prognosis group(266 cases)and a poor prognosis group(36 cases),and their laboratory indicators and clinical characteristics were compared.Multivariate logistic regression was used to analyze the risk factors for poor prognosis.RESULTS The major pathogens causing infections were Salmonella,Escherichia coli and Klebsiella pneumoniae.The distribution difference of major pathogens across age groups(29 days-6 months,＞6 months-1 year,＞1-2 years,＞2 years)was statistically significant(P＜0.001).The drug resistance rates of Salmonella to ampicillin,chloramphenicol and sulfamethoxazole/trimethoprim were 68.61％,54.01％and 44.53％,respectively.E.coli exhibited drug resistance rates of 83.33％,52.22％and 47 78％to ampicillin,sulfamethoxazole/trimethoprim and cefazolin,respectively.K.pneumoniae showed drug resistance rates exceeding 50％to ampicillin/sulbactam,cefuroxime and cefazolin.Hypoalbuminemia(OR=3.319),sepsis(OR=3.122),ventricular purulent encephalitis(OR=5.104)and prior use of penicillin-class anti-bacterial drugs before culture positivity(OR=3.374)were identified as risk factors for poor prognosis of the chil-dren with Enterobacteriaceae bloodstream infections(P＜0.05).CONCLUSIONS Bloodstream infections caused by Enterobacter in children predominantly occur in those under 2 years of age,with Salmonella,E.coli and K.pneumoniae as the major pathogens,exhibiting high drug resistance rates to penicillin and cephalosporin antibacte-rial drugs.Clinical therapeutic regimen should be adjusted early based on laboratory indicators and risk factors to improve prognosis.

Objective The aim of the study is to reveal the polymorphisms of Eustrongylides spp.in Monopterus albus.Methods A total of five Eustrongylides spp.collected from five M.albus in the Yongzhou area were sampled to amplify ribosomal ITS sequence by PCR in vitro,then sequenced after extracting the DNA templates of Eustrongylides.The phylogenetic tree based on the ITS sequence was also constructed to explore the evolutionary history of Eustrongylides.Results The length of the ITS sequence of the five Eustrongylides spp.is approximately 933 bp,and the genetic differences between the isolates are 0.00％-0.90％and the genetic inheritance differences with other nematodes are 15.5％-18.20％,maintaining a certain genetic distance from other families.Conclusions The ITS sequence of Eustrongylides spp.in M.albus will be used as a genetic marker for the molecular identification of Eustrongylides spp.and will provide a basis for the prevention and control of Eustrongylides spp.in the future.

Objective:To explore the advantages of robotic-arm assisted total hip arthroplasty (rTHA) in acetabular component positioning and lower limb length assessment in patients with severe pelvic coronal tilt.Methods:A retrospective analysis was conducted on the data of 122 patients with unilateral end-stage hip disease and coronal pelvic tilt angle >3° who underwent total hip arthroplasty (THA) at the First Medical Center of PLA General Hospital from June 2022 to December 2023. Among them, 44 patients underwent rTHA, and 78 underwent manual THA (mTHA). The rTHA group included 18 males and 26 females, with an average age of 60.5±9.3 years; the mTHA group included 41 males and 37 females, with an average age of 58.5±8.4 years. Compare the differences in the anteversion angle, abduction angle, pelvic tilt angle, leg length discrepancy (LLD) of the acetabular prosthesis, and the proportions of patients with LLD>0.5 cm and >1 cm between the two groups of patients after surgery. Calculate the proportion of outlier rates of acetabular abduction angle (<30° or >45°), and proportions within Callanan's safe zone. The early efficacy of the hip joint was evaluated by using the modified Harris score and joint range of motion.Results:All patients were followed up for 6 to 12 months, with an average of 8 months. All the surgical incisions of the patients achieved primary healing. Postoperative comparisons showed no statistically significant differences in acetabular abduction angle (39.5°±3.3° vs. 38.4°±7.3°) or anteversion angle (20.7°±1.6° vs. 19.7°±1.6°) between rTHA and mTHA groups ( P>0.05). However, pelvic tilt angle [2.5° (1.1°, 3.6°) vs. 3.5° (2.3°, 5.9°)] showed a statistically significant difference ( U=4.371, P=0.008). The rTHA group exhibited smaller absolute LLD [0.2 (0.1, 0.4) cm vs. 0.5 (0.2, 0.5) cm] and lower proportions of LLD >0.5 cm [14% (6/44) vs. 49% (38/78)] and >1 cm [2% (1/44) vs. 18% (14/78)], with statistical significance ( P<0.05). The rTHA group had a lower outlier rate for acetabular abduction angle (<30°or >45°) compared to the mTHA group [2% (1/44) vs. 33% (26/78)], with statistical significance (χ 2=10.388, P<0.001). Taking the Callanan safety zone as the standard, the proportion of acetabular cups within the safe zone was significantly higher in the rTHA group (98%, 43/44) compared to the mTHA group (67%, 52/78), with a statistically significant difference (χ 2=13.998, P<0.001). The modified Harris score and hip joint range of motion in the mTHA group increased from 47.6±6.6 points and 83° (73°, 88°) before the operation to 83.5±11.2 points and 118° (110°, 122°) at the last follow-up, respectively. The rTHA group increased from 46.5±9.2 points and 79° (71°, 90°) before the operation to 85.0±12.5 points and 124° (116°, 130°) at the last follow-up. The differences in the modified Harris score and hip joint range of motion between the two groups before the operation and at the last follow-up were statistically significant ( P<0.05). However, there was no statistically significant difference between the groups at the last follow-up ( P>0.05). No THA-related complications occurred during follow-up period. Conclusion:For patients with end-stage hip joint diseases with coronal tilt exceeding 3°, robotic-assisted technology significantly improves the accuracy of acetabular component placement during THA and offers better control of postoperative LLD.

OBJECTIVE To carry out regular monitoring of carbapenem-resistant Klebsiella pneumoniae(CRKP)contamination status in the environment of intensive care unit(ICU)and take targeted prevention and control measures so as to reduce the incidence of hospital-associated infections with multidrug-resistant organisms(MDROs).METHODS The surfaces of surroundings of the patients who were colonized and infected with CRKP in the ICU of grade A tertiary hospital of Shanghai and the hands of relevant staff were sampled by stages from Jan 1,2021 to Jun 30,2024.The distribution of the CRKP strains in the surroundings were analyzed according to the locations positive for CRKP,and the disinfection measures were accordingly and continuously modified.The trend of isolation rate of CRKP strains from the ICU patients was analyzed during the time period when the measures were implemented.RESULTS Totally 266 environmental samples were collected during the baseline period(from Jan.1 2021 to Dec.31 2021),265 during intervention period(from Jan.1 2022 to Dec.31 2023),274 during con-solidation period(from Jan.1 to Jun.30 2024);the isolation rates of the CRKP strains were 4.51％,4.91％and 3.65％,respectively.The isolation rate of the strains was highest from the bed unit(10.40％),followed by the article for public use(6.74％),articles used by health care workers(2.98％)and diagnosis and treatment arti-cles(1.91％).The isolation rate of CRKP of the patients was 24.75％during the baseline period,15.48％during the intervention period,5.69％during the consolidation period,showing a continuously downward trend(x2=30.330,P＜0.001).CONCLUSION It is necessary to regularly carry out the environmental monitoring of CRKP strains,seek for the weak links of environmental disinfection and implement the intensified prevention and control measures so as to reduce the incidence of CRKP infection,which may provide theoretical bases for effective control of the CRKP strains.