Objective To explore a standardized approach for indicating dosages in Chinese patent medicines(CPM)instructions.Methods A review of 1 378 classic formulas of traditional Chinese medicine in the 2020 edition of the Pharmaco-poeia of the People's Republic of China(Chinese Pharmacopoeia)was conducted,focusing on three aspects:overdose,different dosage forms,and inclusion of toxic herbs.Approximately 50 representative formulas were selected,and their daily dosage of herbal pieces and the corresponding dosage of individual herbs were calculated.These results were then compared and analyzed against the dosages stipulated in the Chinese Pharmacopoeia.Results ①Overdose:Among the 1 378 reviewed formulas,146(10.60％)were found to involve overdose.Specifically,eight formulas were identified as having an overdose of approximately 3 to 5 times the recommended dose,including Duanxueliu tablets and Zhixue Fumai mixture.②Dosage variations across dosage forms:Based on the conversion of the Ming-Qing dynasty dosage of one liang(Chinese traditional weight unit)to 36 g,the estimated dai-ly dose per component of crude herbs in Yinqiao powder was close to the upper limit specified in the Chinese Pharmacopoeia.The total daily dose of crude herbs(75.60 g)was approximately five times that of the Yinqiao powder(15 g)listed in the Chinese Pharmacopoeia and three times that of the Japanese Kampo Yinqiao powder(23.868 g).Significant differences in dosage were ob-served among Yinqiao Jiedu preparations of different dosage forms.In terms of total daily dose of crude herbs,granules(52.50 g)had the highest dose,approximately 3-5 times that of tablets/capsules(11.20 g),soft capsules(13.44 g),and powders(15.00 g),but still 30％ lower than the original prescription from ancient texts(75.6 g).Comparing the daily dose per compo-nent,granules fell within the Chinese Pharmacopoeia dose range,while tablets,capsules,soft capsules,and powders were all below the Chinese Pharmacopoeia dose.③Inclusion of toxic herbs:Among the 20 oral formulations containing Strychnos nux-vomica(Maqianzi)listed in the Chinese Pharmacopoeia,seven species exceeded the pharmacopoeial dose of 0.3-0.6 g per day.Notably,Shenjin Huoluo pill and Shufeng Dingtong pill exceeded the Chinese Pharmacopoeia dose by 1.5-2 times.The daily dose of strych-nosine in Shenjin Huoluo pill was 21.3 mg,exceeding the toxic dose range of 5-10 mg.Conclusions The dosage indications in CPM instructions must adhere to a unified format,clearly stating the daily dose per component of crude herbs,the total daily dose of crude herbs,and the total number of administrations under the"Dosage and Administration"section.For instance,"Yinqiao Jiedu granules,with a total daily dose equivalent to 60 g of crude herbs taken in four doses(including:Flos Lonicerae 10.71 g,Fructus Forsythiae 10.71 g,Radix Platycodi 6.43 g,Herba Menthae Haplocalycis 6.43 g,Fructus Arctii 6.43 g,Semen Sojae Preparatum 5.36 g,Radix Glycyrrhizae 5.36 g,Herba Lophatheri 4.29 g,Herba Schizonepetae 4.29 g)."For CPM containing tox-ic herbs,dosage indications are even more crucial,such as specifying the daily dose of Maqianzi powder/processed Maqianzi and strychnosine in formulations containing this herb.

ObjectiveTo investigate the analgesic effect of Tuina at the "Weizhong （BL 40）" on neuropathic pain in a rat model of chronic constriction injury （CCI） of the sciatic nerve and its potential central spinal mechanisms. MethodsThirty-two Sprague-Dawley rats were randomly divided into four groups （8 rats in each group）， sham-operated group， model group， Tuina group， and blockade group. The CCI model was established in the model group， Tuina group， and the blockade group by ligating the sciatic nerve with catgut， while the sham-operated group underwent only sciatic nerve exposure without ligation. From postoperative day 4 to day 14， rats in the Tuina group and the blockade group received Tuina manipulation at the "Weizhong （BL 40）" using a dynamic pressure distribution measurement system （5 N pressure， 2 Hz frequency， 10 min per session， once daily）. The blockade group also received intraperitoneal injections of the microglial inhibitor minocycline （10 mg/kg） once daily. The sham-operated and the model group underwent the same handling and fixation as the Tuina group without actual Tuina. Mechanical withdrawal threshold （MWT） and paw withdrawal latency （PWL） were measured before surgery and on day 3， 7， 10， and 14 post-surgery. Transmission electron microscopy was used to evaluate sciatic nerve injury and repair， measuring axon diameter and total myelinated fiber diameter to calculate the g-ratio. Western Blotting was performed to detect the protein levels of ionized calcium-binding adapter molecule 1 （Iba-1）， CD206， CD68， interleukin-10 （IL-10）， and β-endorphin （β-EP） precursor pro-opiomelanocortin （POMC） in the ipsilateral spinal dorsal horn. ResultsCompared with the sham-operated group， the model group showed significantly reduced MWT and PWL on day 3， 7， 10， and 14 （P＜0.01）. Compared with the model group， the Tuina group and the blockade group showed increased MWT and PWL on day 10 and 14 （P＜0.05）. Compared with the Tuina group， the blockade group exhibited higher MWT on day 7， 10， and 14， and higher PWL on day 10 （P＜0.05）. Sciatic nerve pathological morphology revealed intact and well-structured myelin in the sham-operated group， while the model group exhibited myelin collapse， distortion， and myelin ovoid formation. The Tuina group displayed partially irregular myelin with occasional myelin collapse， whereas the blockade group exhibited partial myelin irregularities and phospholipid shedding. Compared with the sham-operated group， the model group showed a decreased g-ratio and increased levels of Iba-1 and CD68 in the spinal dorsal horn （P＜0.05 or P＜0.01）. Compared with the model group， the Tuina group and the blockade group exhibited an increased g-ratio and reduced Iba-1 and CD68 levels. Additionally， the Tuina group showed elevated levels of CD206， IL-10， and POMC， whereas the blockade group had decreased CD206 levels （P＜0.05）. ConclusionTuina at "Weizhong （BL 40）" alleviates neuropathic pain in CCI rats， potentially by regulating microglial activation in the spinal cord， inhibiting M1 polarization while promoting M2 polarization， and activating the IL-10/β-EP pathway to exert analgesic effects.

INTRODUCTION: Hydroxychloroquine (HCQ), originally an antimalarial drug, is currently used to treat multiple disorders, especially rheumatic diseases. Given its good efficacy and safety, HCQ is widely administered in pregnant patients. However, the safety profile of HCQ during pregnancy remains controversial due to limited research. In addition, HCQ has been reported to reduce preeclampsia in patients with systemic lupus erythematosus (SLE) and could potentially alleviate the symptom of preeclampsia. However, the clinical profile and molecular mechanism of HCQ in preeclampsia is yet to be fully understood. METHOD: We reviewed the literature on HCQ treatment in pregnancy with rheumatic diseases and preeclamp-sia in PubMed and Web of Science. We also discussed the safety of long-term therapy with HCQ during pregnancy. RESULTS: HCQ mainly modulates autoimmune response through inhibition of lysosomal function, toll-like receptor (TLR) signalling, nicotinamide adenine dinucleotide phosphate-mediated oxidative stress and autophagy. Benefits of HCQ in treating rheumatic diseases, including antiphospholipid syndrome, rheumatoid arthritis and Sjogren's syndrome during pregnancy, has been demonstrated in clinics. In particular, multiple clinical guidelines recommend HCQ as an indispensable therapeutic drug for pregnant patients with SLE. Additionally, it may potentially function in preeclampsia to improve clinical symptoms. CONCLUSION HCQ is effectively used for rheumatic diseases during pregnancy. The benefits of HCQ treatment in rheumatic diseases outweigh the risk of adverse reactions it induces in pregnant women.
Humans ; Hydroxychloroquine/pharmacology* ; Pregnancy ; Female ; Antirheumatic Agents/pharmacology* ; Rheumatic Diseases/drug therapy* ; Pregnancy Complications/drug therapy* ; Pre-Eclampsia/prevention & control* ; Lupus Erythematosus, Systemic/drug therapy* ; Arthritis, Rheumatoid/drug therapy* ; Antiphospholipid Syndrome/drug therapy* ; Sjogren's Syndrome/drug therapy*

Objective To investigate the factors influencing the development of extra-pulmonary tuberculosis(EPTB)in patients with viral hepatitis complicated by pulmonary tuberculosis(PTB).Methods A retrospective analysis was conducted on 427 patients with Hepatitis B Virus(HBV)and Hepatitis C Virus(HCV)infections complicated by PTB admitted to the tuberculosis department of Kunming Third People's Hospital from January 2015 to December 2020.Patients were divided into the EPTB complication group(n=72)and the non-EPTB complication group(n=355)based on the presence of EPTB.Clinical treatment data of patients were collected.Univariate and multivariate Logistic regression analyse were used to screen independent risk factors for EPTB as predictive factors.A nomogram prediction model was established for Extrapulmonary Tuberculosis(EPTB)complications in patients with viral hepatitis and Pulmonary Tuberculosis(PTB),evaluated using the Hosmer-Lemeshow test and ROC curve analysis.Results Among the 427 patients,292(68.3%)were male and 135(31.7%)were female,with 72 cases of EPTB,resulting in an incidence rate of 16.86%.In the EPTB group,there were 34 males(47.2%)and 38 females(52.8%).The types of EPTB included tuberculous pleuritis(21 cases,29%),tuberculous peritonitis(16 cases,22%),lymph node tuberculosis(13 cases,18%),tuberculous encephalitis(5 cases,6%),intestinal tuberculosis(6 cases,8%),bone tuberculosis(5 cases,6%),pelvic tuberculosis(3 cases,4%),and genitourinary tuberculosis(3 cases,4%).Multivariate logistic regression analysis showed that gender(OR=0.425,95%CI:0.250-0.722,P=0.02),low triglyceride(TG)levels(OR=0.837,95%CI:0.717-0.978,P=0.025),the tuberculosis-specific antigen A(ESAT-6)(OR=1.007,95%CI:1.003～1.011 were independent influencing factors for EPTB in patients with PTB complicated by HBV and HCV infections.The optimal cutoff value for the nomogram model is 0.192,with a sensitivity of 0.611,specificity of 0.710,Youden index of 0.741,positive likelihood ratio of 2.103,and negative likelihood ratio of 0.548.The Hosmer-Lemeshow test yielded χ2=2.631,P=0.955.ROC curve analysis showed an AUC of 0.693,95%CI:0.629 1～0.7574.Conclusion The prediction model based on gender,low TG levels and ESAT-6 can well predict the occurrence of EPTB to some extent,providing a reference for clinical treatment.

Objective To evaluate the relationship between nutritional parameters and the risk of venous thromboembolicism(VTE)in patients with tuberculosis so as to identify the risk factors and predictors of thrombosis and assist in the early identification of high-risk factors for VTE in patients with the pulmonary tuberculosis.Methods A total of 323 patients diagnosed with the pulmonary tuberculosis and hospitalized in Kunming Third People's Hospital from August 2021 to August 2023 were collected.According to the VTE risk assessment of non-operative patients,they were divided into the high-risk group and the low-risk group respectively with 116 and 207 in each group.The nutritional indicators with statistically significant differences between the two groups were screened by Lasso regression.Multivariate Logistic regression was used to screen the independent risk factors for high VTE risk in pulmonary tuberculosis patients,and a nomogram prediction model was constructed.The prediction model was evaluated by receiver operating characteristic curve(ROC),calibration curve,decision curve,and influence curve.Results Patients in the high-risk group were significantly older than those in the low-risk group(59 vs.41,P<0.001),hypertension,gender,and Type 2 diabetes did not differ significantly(P values were 0.084,0.724 and 0.488,respectively).9 variables were selected from the inter-group comparison and Lasso regression,including ALB,HCT,NRS2002 scores,HBDH,RDW-SD,RDW-CV,TG,CONUT scores,and NEFA.Multivariate Logistic regression analysis showed that ALB,NRS2002 scores,RDW-SD,and CONUT scores were independent influencing factors for the high risk of VTE scores in patients with tuberculosis(P<0.005).Area under the ROC curve showed that the AUC(0.892)for high-risk VTE scores in patients with the pulmonary tuberculosis was greater than that of ALB(0.803),NRS2002 score(0.735),RDW-SD(0.685),and CONUT score(0.774).Fitting prediction model:Logit(P):Y=0.433×NRS-0.136×ALB+0.411×CONUT score+0.072×RDW-SD-1.770,P=1/(1+e-Y)(Y:prediction index,P:prediction probability).Calibration curve showed that the model prediction tended to be consistent with the actual results(U:>0.05),and the decision curve and influence curve showed that the model can bring clinical benefits.Conclusion ALB,NRS2002 scores,RDW-SD,and CONUT scores are independent influencing factors for the high risk of VTE scores in patients with tuberculosis.They can guide the clinical practice,improve these indicators as soon as possible,reduce VTE scores,and reduce the thrombosis risk.At the same time,the prediction model performs well in the verification cohort,with its discrimination ability,calibration accuracy and clinical utility(decision curve analysis)all reaching a satisfactory level.

Objective To analyze the epidemiological characteristics of acute respiratory infections(ARIs)during the autumn-winter season in Beijing,providing evidence for the prevention,control,diagnosis,and treatment of ARIs.Methods A convenience sampling method was employed,enrolling patients who visited Peking Union Medical College Hospital(PUMCH)between September 2023 and February 2024 due to ARIs.Na-sopharyngeal swabs were collected,and real-time fluorescence quantitative PCR was used to detect six common respiratory pathogens[influenza A virus(FluA),influenza B virus(FluB),human rhinovirus(HRV),Myco-plasma pneumoniae(MP),respiratory syncytial virus(RSV),and adenovirus(ADV)],as well as SARS-CoV-2 infection.The distribution patterns of pathogen infections were analyzed.Results A total of 5556 eligible patients were included.The overall positivity rate for the six common respiratory pathogens was 63.7％,with sin-gle-pathogen positivity at 54.0％,dual-pathogen positivity at 8.9％,and triple or more pathogen positivity at 0.7％.The predominant pathogens detected were FluA(16.1％)and RSV(15.7％),followed by ADV(11.1％),MP(11.1％),HRV(10.0％),and FluB(10.0％).No significant difference in overall pathogen positivity was observed between genders.However,significant differences were found between autumn and winter(x2=34.617,P＜0.001)and among pediatric,young/middle-aged,and elderly patients(x2=422.38,P＜0.001).Specifically,MP(x2=8.647,P=0.003),FluA(x2=131.932,P＜0.001),and HRV(x2=174.199,P＜0.001)exhibited significantly higher positivity rates in autumn than in winter,whereas FluB was more prevalent in winter(x2=287.894,P＜0.001).In pediatric patients,MP,RSV,HRV,and ADV positivity rates were significantly higher than in young/middle-aged and elderly patients(all P＜0.001),whereas FluB was more common in young/middle-aged patients(both P＜0.001).The positivity rates of the six common respiratory pathogens significantly declined during the SARS-CoV-2 epidemic period,exhibiting an asynchronous seasonal pattern.Conclusions The prevalence of respiratory pathogens in Beijing is associated with age and season.Tar-geted preventive measures should be implemented in different seasons and for key populations.

Objective:To evaluate the application of metagenomic next-generation sequencing（mNGS）in the identification of non-tuberculous mycobacteria（NTM）.Methods:A retrospective analysis was conducted on mNGS results of 358 bronchoalveolar lavage fluid（BALF）samples positive for NTM collected at the First Affiliated Hospital of Zhejiang University School of Medicine from February 2021 to January 2024. The analysis included the distribution of NTM species，the detection of mixed pathogens，and the performance of conventional mycobacterial detection methods.Results:The results showed that 362 strains of 15 NTM species were identified from 350 specimens，8 specimens were not precise to the species level. The most frequently detected species were Mycobacterium intracellulare（37.3%，135/362）， Mycobacterium abscessus（26.8%，97/362），followed by Mycobacterium avium（11.0%，40/362）， Mycobacterium kansasii（8.0%，29/362）and Mycobacterium chelonae（7.7%，28/362）. Single NTM species were detected in 339 specimens，while two or three NTM species were simultaneously detected in 11 specimens（3.1%，11/358）. Non-NTM microorganisms co-infected were detected in 53.4%（191/358）of NTM-positive BALF samples，including common pathogens such as Pseudomonas aeruginosa， Staphylococcus aureus，and Aspergillus fumigatus；and difficult-to-identify pathogens such as Legionella pneumophila and Talaromyces marneffei. In NTM-positive patients detected by mNGS，the results supported the diagnosis of NTM infection in 298 cases（298/358，83.2%）and 105 cases（105/358，29.3%）initiated anti-NTM treatment accordingly；while in 60 cases（60/358，16.8%）the positive results were considered as colonization or unrelated to clinical infection. For samples tested with acid-fast staining，mycobacterial liquid culture，and DNA microarray，the positivity rates for NTM were 31.5%（73/232），48.7%（57/117），and 43.0%（46/107），respectively. Conclusions:mNGS demonstrates advantages in identification of NTM. However，the test may detect multiple microorganisms，in that case，the interpretation with clinical and radiological results is requried to determine the main pathogens.

Objective To develop a convolutional neural network based model for predicting the dose distribution of intensity-modulated radiotherapy(IMRT)in cervical cancer,and to evaluate its potential applications in automated treatment planning.Methods The pelvic IMRT plans for 100 female patients were collected,with 80 cases in the training set,10 in the validation set,and 10 in the test set.A dose prediction model was built based on the three-dimensional(3D)residual network for forecasting 3D dose distribution.Masks for organs-at-risk and planning target areas were extracted from CT images and RT Structure files.Density values were assigned to different structures according to a density map,and the resulting CT maps were used as input images for model training.The optimal model was used to predict the 3D dose distribution,and the predicted results were compared with the dose distribution from manual treatment planning in terms of dosimetric parameters.Results The experimental results on the 10-case test set demonstrated that dosimetric parameter differences were insignificant and within clinically acceptable ranges.The mean absolute error,average Dice similarity coefficient,and 95%Hausdorff distance for 10 cases in test set were(0.58±0.16)Gy,0.90±0.03,and(10.61±7.17)mm,respectively.Compared with manual planning,prediction model showed slightly decreased rectal V45,small bowel D2cc,and the V20 of bilateral femoral heads was reduced.The predicted D95 of planning target area was lower than manual planning,but the differences in D90,homogeneity index,and conformity index were trivial.There were minor differences in 3D dose distributions between the two,and the dose distribution generated by prediction model met clinical requirements.Conclusion The convolutional neural network based dose prediction model can accurately forecast the dose distribution for cervical cancer IMRT,exhibiting the potential to be used in automated treatment planning and quality evaluation.

Objective To explore a standardized approach for indicating dosages in Chinese patent medicines(CPM)instructions.Methods A review of 1 378 classic formulas of traditional Chinese medicine in the 2020 edition of the Pharmaco-poeia of the People's Republic of China(Chinese Pharmacopoeia)was conducted,focusing on three aspects:overdose,different dosage forms,and inclusion of toxic herbs.Approximately 50 representative formulas were selected,and their daily dosage of herbal pieces and the corresponding dosage of individual herbs were calculated.These results were then compared and analyzed against the dosages stipulated in the Chinese Pharmacopoeia.Results ①Overdose:Among the 1 378 reviewed formulas,146(10.60％)were found to involve overdose.Specifically,eight formulas were identified as having an overdose of approximately 3 to 5 times the recommended dose,including Duanxueliu tablets and Zhixue Fumai mixture.②Dosage variations across dosage forms:Based on the conversion of the Ming-Qing dynasty dosage of one liang(Chinese traditional weight unit)to 36 g,the estimated dai-ly dose per component of crude herbs in Yinqiao powder was close to the upper limit specified in the Chinese Pharmacopoeia.The total daily dose of crude herbs(75.60 g)was approximately five times that of the Yinqiao powder(15 g)listed in the Chinese Pharmacopoeia and three times that of the Japanese Kampo Yinqiao powder(23.868 g).Significant differences in dosage were ob-served among Yinqiao Jiedu preparations of different dosage forms.In terms of total daily dose of crude herbs,granules(52.50 g)had the highest dose,approximately 3-5 times that of tablets/capsules(11.20 g),soft capsules(13.44 g),and powders(15.00 g),but still 30％ lower than the original prescription from ancient texts(75.6 g).Comparing the daily dose per compo-nent,granules fell within the Chinese Pharmacopoeia dose range,while tablets,capsules,soft capsules,and powders were all below the Chinese Pharmacopoeia dose.③Inclusion of toxic herbs:Among the 20 oral formulations containing Strychnos nux-vomica(Maqianzi)listed in the Chinese Pharmacopoeia,seven species exceeded the pharmacopoeial dose of 0.3-0.6 g per day.Notably,Shenjin Huoluo pill and Shufeng Dingtong pill exceeded the Chinese Pharmacopoeia dose by 1.5-2 times.The daily dose of strych-nosine in Shenjin Huoluo pill was 21.3 mg,exceeding the toxic dose range of 5-10 mg.Conclusions The dosage indications in CPM instructions must adhere to a unified format,clearly stating the daily dose per component of crude herbs,the total daily dose of crude herbs,and the total number of administrations under the"Dosage and Administration"section.For instance,"Yinqiao Jiedu granules,with a total daily dose equivalent to 60 g of crude herbs taken in four doses(including:Flos Lonicerae 10.71 g,Fructus Forsythiae 10.71 g,Radix Platycodi 6.43 g,Herba Menthae Haplocalycis 6.43 g,Fructus Arctii 6.43 g,Semen Sojae Preparatum 5.36 g,Radix Glycyrrhizae 5.36 g,Herba Lophatheri 4.29 g,Herba Schizonepetae 4.29 g)."For CPM containing tox-ic herbs,dosage indications are even more crucial,such as specifying the daily dose of Maqianzi powder/processed Maqianzi and strychnosine in formulations containing this herb.

Objective To develop a convolutional neural network based model for predicting the dose distribution of intensity-modulated radiotherapy(IMRT)in cervical cancer,and to evaluate its potential applications in automated treatment planning.Methods The pelvic IMRT plans for 100 female patients were collected,with 80 cases in the training set,10 in the validation set,and 10 in the test set.A dose prediction model was built based on the three-dimensional(3D)residual network for forecasting 3D dose distribution.Masks for organs-at-risk and planning target areas were extracted from CT images and RT Structure files.Density values were assigned to different structures according to a density map,and the resulting CT maps were used as input images for model training.The optimal model was used to predict the 3D dose distribution,and the predicted results were compared with the dose distribution from manual treatment planning in terms of dosimetric parameters.Results The experimental results on the 10-case test set demonstrated that dosimetric parameter differences were insignificant and within clinically acceptable ranges.The mean absolute error,average Dice similarity coefficient,and 95%Hausdorff distance for 10 cases in test set were(0.58±0.16)Gy,0.90±0.03,and(10.61±7.17)mm,respectively.Compared with manual planning,prediction model showed slightly decreased rectal V45,small bowel D2cc,and the V20 of bilateral femoral heads was reduced.The predicted D95 of planning target area was lower than manual planning,but the differences in D90,homogeneity index,and conformity index were trivial.There were minor differences in 3D dose distributions between the two,and the dose distribution generated by prediction model met clinical requirements.Conclusion The convolutional neural network based dose prediction model can accurately forecast the dose distribution for cervical cancer IMRT,exhibiting the potential to be used in automated treatment planning and quality evaluation.