OBJECTIVE To study the pharmacokinetic characteristics of antidepressant active components from Jiaotai pills in healthy subjects. METHODS Eight healthy subjects （3 males and 5 females） were recruited and given a single oral dose of 8.55 g of Jiaotai pills. Venous blood samples were collected before administration （0 h） and at intervals from 0.25 to 36.0 hours post- administration. After treating the plasma samples with protein precipitation， the blood concentrations of the antidepressant active ingredients （coptisine， berberine， magnoflorine， and palmatine） in Jiaotai pills were determined using liquid chromatography- tandem mass spectrometry （LC-MS/MS） method. DAS 2.0 software was employed to calculate the pharmacokinetic parameters of healthy subjects [half-life （t1/2）， peak concentration （cmax）， time to peak concentration （tmax）， area under the concentration-time curve （AUC）， and mean residence time （MRT）] using a non-compartmental model. RESULTS After healthy subjects took Jiaotai pills， the drug-time curve of the four antidepressant active ingredients conforms to a two-compartment model and tmax values were similar， with all reaching peak blood concentrations within 2.00 to 4.00 hours post-administration. However， the t1/2 and MRT of coptisine and berberine were significantly longer than that of magnoflorine and palmatine. There were also significant differences in the AUC and cmax among the four antidepressant active ingredients， with magnoflorine exhibiting markedly higher AUC0-t and cmax compared to the other three components. CONCLUSIONS In this study，LC-MS/MS is used to analyze the pharmacokinetic characteristics of the antidepressant active ingredients from Jiaotai pills in healthy subjects， can provide valuable references for the clinical application of Jiaotai pills.

OBJECTIVE:Based on different algorithms of machine learning,the prediction model of lumbar disc herniation has become a trend and hot spot in the development of precision medicine.However,there is limited evidence on the reporting quality and methodological quality of prediction models of lumbar disc herniation outcomes using machine learning.This article is aimed to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation by comprehensively analyzing the report quality and risk of bias of previous studies that developed and validated prognosis prediction models based on machine learning through a comprehensive literature search,in order to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation.METHODS:The databases of CNKI,WanFang,VIP,SinOMED,PubMed,Web of Science,Embase,and The Cochrane Library were searched by computer.Studies on the use of machine learning to develop(and/or validate)prognostic prediction models for lumbar disc herniation were collected from the inception of the database to December 31,2023.Two researchers independently screened the literature,extracted data,and assessed the risk of bias of the included studies.The reporting quality and risk of bias of the included studies were assessed by the Multivariable Transparent Reporting of Predictive Models(TRIPOD)statement and the Predictive Model Risk of Bias Assessment Tool(PROBAST).The results of the evaluation were analyzed using descriptive statistics and visual charts.RESULTS:(1)A total of 23 articles were included,and the TRIPOD compliance of each study ranged from 11％to 87％,with a median compliance of 54％.The quality of reporting of titles,detailed descriptions of treatment measures,blinding of predictors,handling of missing data,details of risk stratification,specific procedures for enrollment,model interpretation,and model performance was mostly poor,with TRIPOD adherence rates ranging from 4％to 35％.(2)Of all included studies,61％had a high risk of bias and 39％had an unclear overall risk of bias.The area under the curve,accuracy,sensitivity and specificity were used to evaluate the performance of the model.The areas under the curve of 20 models were reported,ranging from 0.561 to 0.999.Three models reported the accuracy of the model,ranging from 82.07％to 89.65％.(3)Among all included studies,the statistical analysis domain was most often assessed as having a high risk of bias,mainly due to the small number of valid samples,the selection of predictors based on univariate analysis and the lack of calibration and discrimination assessment of the model in the study.CONCLUSION:These results indicate that machine learning can achieve good predictive ability in the development and validation of prognostic models for lumbar disc herniation.The commonly used algorithms include regression algorithm,support vector machine,decision tree,random forest,artificial neural network,naive Bayes and other algorithms.Reasonable algorithms combined with clinical practice can improve the accuracy of prognosis prediction of lumbar disc herniation.However,the reporting and methodological quality of prognosis prediction models based on machine learning are poor,the prediction performance of different models varies greatly,and the generalization and extrapolation of research models are unclear.There is an urgent need to improve the design,implementation and reporting of such studies.To promote the application of machine learning in the clinical practice of lumbar disc herniation prediction models,it is necessary to comprehensively consider various predictors related to the prognosis of the disease before modeling,and strictly follow the relevant standards of PROBAST tool during modeling.

OBJECTIVE:Based on different algorithms of machine learning,the prediction model of lumbar disc herniation has become a trend and hot spot in the development of precision medicine.However,there is limited evidence on the reporting quality and methodological quality of prediction models of lumbar disc herniation outcomes using machine learning.This article is aimed to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation by comprehensively analyzing the report quality and risk of bias of previous studies that developed and validated prognosis prediction models based on machine learning through a comprehensive literature search,in order to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation.METHODS:The databases of CNKI,WanFang,VIP,SinOMED,PubMed,Web of Science,Embase,and The Cochrane Library were searched by computer.Studies on the use of machine learning to develop(and/or validate)prognostic prediction models for lumbar disc herniation were collected from the inception of the database to December 31,2023.Two researchers independently screened the literature,extracted data,and assessed the risk of bias of the included studies.The reporting quality and risk of bias of the included studies were assessed by the Multivariable Transparent Reporting of Predictive Models(TRIPOD)statement and the Predictive Model Risk of Bias Assessment Tool(PROBAST).The results of the evaluation were analyzed using descriptive statistics and visual charts.RESULTS:(1)A total of 23 articles were included,and the TRIPOD compliance of each study ranged from 11％to 87％,with a median compliance of 54％.The quality of reporting of titles,detailed descriptions of treatment measures,blinding of predictors,handling of missing data,details of risk stratification,specific procedures for enrollment,model interpretation,and model performance was mostly poor,with TRIPOD adherence rates ranging from 4％to 35％.(2)Of all included studies,61％had a high risk of bias and 39％had an unclear overall risk of bias.The area under the curve,accuracy,sensitivity and specificity were used to evaluate the performance of the model.The areas under the curve of 20 models were reported,ranging from 0.561 to 0.999.Three models reported the accuracy of the model,ranging from 82.07％to 89.65％.(3)Among all included studies,the statistical analysis domain was most often assessed as having a high risk of bias,mainly due to the small number of valid samples,the selection of predictors based on univariate analysis and the lack of calibration and discrimination assessment of the model in the study.CONCLUSION:These results indicate that machine learning can achieve good predictive ability in the development and validation of prognostic models for lumbar disc herniation.The commonly used algorithms include regression algorithm,support vector machine,decision tree,random forest,artificial neural network,naive Bayes and other algorithms.Reasonable algorithms combined with clinical practice can improve the accuracy of prognosis prediction of lumbar disc herniation.However,the reporting and methodological quality of prognosis prediction models based on machine learning are poor,the prediction performance of different models varies greatly,and the generalization and extrapolation of research models are unclear.There is an urgent need to improve the design,implementation and reporting of such studies.To promote the application of machine learning in the clinical practice of lumbar disc herniation prediction models,it is necessary to comprehensively consider various predictors related to the prognosis of the disease before modeling,and strictly follow the relevant standards of PROBAST tool during modeling.

Hepatic encephalopathy is a difficult and critical disease with rapid progression and limited treatment methods in the field of liver disease， and it is urgently needed to make breakthroughs in its pathogenesis. Selection of appropriate prevention and treatment strategies is of great importance in delaying disease progression and reducing the incidence and mortality rates. This article reviews the theory of “turbid toxin pathogenesis” and related prevention and treatment strategies for hepatic encephalopathy in traditional Chinese medicine/Zhuang medicine， proposes a new theory of “turbid toxin pathogenesis”， analyzes the scientific connotations of “turbid”， “toxin”， and the theory of “turbid toxin pathogenesis”， and constructs the “four-step” prevention and treatment strategies for hepatic encephalopathy， thereby establishing the new clinical prevention and treatment regimen for hepatic encephalopathy represented by “four prescriptions and two techniques” and clarifying the effect mechanism and biological basis of core prescriptions and techniques in the prevention and treatment of hepatic encephalopathy， in order to provide a reference for the prevention and treatment of hepatic encephalopathy.

Objective To investigate the therapeutic efficacy of artesunate(AS)on polycystic ovary syndrome(PCOS)in mice and explore the potential mechanism primarily.Methods Twenty-five female C57BL/6J mice were randomly divided into Control group,model group(PCOS group),low-and high-dose AS groups(AS15 and AS30 groups)and metformin group(Met group).In addition to the Control group,the mouse model of PCOS was established by subcutaneous injection of dehydroepiandrosterone(DHEA,60 mg/kg)following by a high-fat diet for 21 d.After modeling,AS of 15 and 30 mg/kg was intraperitoneally injected into the mice of the AS 15 and AS30 groups,respectively,and 200 mg/kg Met was given to those of the Met group by gavage,once per day,for 6 weeks.ELISA was used to detect serum testosterone(T),fasting insulin(FINS),luteinizing hormone(LH)and follicle-stimulating hormone(FSH),and the LH/FSH ratio was calculated.The levels of fasting blood glucose(FBG),triglyceride(TG)and total cholesterol(TC)were detected by automatic biochemical analyzer,and the homeostasis model assessment of insulin resistance(HOMA-IR)was calculated.The estrous cycle was observed,and HE staining was performed for pathological changes in the ovary and uterus.Immunofluorescence assay was employed to measure the expression of p-eIF2α,ATF4 and CHOP in the ovarian tissue.After steroidogenic human granulosa-like tumor cell line KGN were exposed to 100 μmol/L DHEA to simulate the hyperandrogen environment of PCOS,and then treated with 5 and 10 μg/mL AS for 24 h,the protein levels of endoplasmic reticulum stress signaling pathway was detected by Western blotting.Results Compared with the Control group,the PCOS mice had disturbed estrous cycle,polycystic changes in the ovaries,and significantly increased serum T level and LH/FSH ratio(P＜0.05),and obviously elevated HOMA-IR,TC and TG levels in terms of metabolism(P＜0.01).The expression levels of p-eIF2α,ATF4 and CHOP were notably up-regulated in the ovarian granulosa cells of PCOS mice and KGN cells after DHEA exposure(P＜0.05).Additionally,AS treatment attenuated the pathological changes of ovary and uterine expression,decreased the serum T level and the LH/FSH ratio(P＜0.05),and reduced HOMA-IR,TC and TG levels(P＜0.05)when compared with the PCOS mice.Moreover,the expression levels of p-eIF2α,ATF4 and CHOP were significantly down-regulated after AS treatment in both ovarian granulosa cells of PCOS mice and KGN cells(P＜0.05).Conclusion AS significantly improves glycolipid metabolic disorder and reproductive dysfunction in PCOS mice,which may be associated with its suppressing endoplasmic reticulum stress by inhibiting the PERK/eIF2α/ATF4/CHOP pathway.

Objective To investigate the effect of dexmedetomidine(Dex)on bone loss in tail-suspended rats and primarily explore its regulatory mechanism on bone metabolism.Methods A total of 30 male rats were randomly divided into a control group,a model group,and a Dex group,with 10 animals in each group.Rat model of osteoporosis was established by hind limb suspension for 4 weeks.Dex at a dose of 10 μg/kg was given intraperitoneally,once every other day from the day of tail suspension.And equal amount of normal saline was given to the control and model group.Bone histological staining was used to observe the trabecular bone area fraction.Biomechanical three-point bending test was employed to measure the maximum load,stiffness,and fracture energy.Dual calcein/alizarin red fluorescence labeling and tartrate resistant acid phosphatase(TRAP)staining were applied respectively to detect the mineral apposition rate and bone formation rate as well as the number of osteoclasts on bone surfaces.Secondly,after primary osteoblasts were isolated from the tibiae of tail-suspended rats and then treated with 1 nmol/L Dex,the proportion of alkaline phosphatase(ALP)-positive osteoblasts and the activity of the enzyme were detected by ALP staining and activity test.qRT-PCR was applied to measure the expression of osteogenic activity-related factors,including osteocalcin(Ocn),Runt related transcription factor 2(Runx2),Osterix protein(Osx),and type 1 collagen(Col1).Results The animal experiments revealed that Dex treatment significantly increased the tibial trabecular bone area fraction,inhibited the decrease in bone mechanical strength,and enhanced the mineralization deposition rate and new bone formation rate of trabecular bone in the tail-suspended rats(all P＜0.001).The in vitro experiments showed that Dex treatment obviously improved ALP activity and the number of ALP-positive osteoblasts in primary osteoblasts isolated from tail-suspended rats(P＜0.01),and up-regulated the expression levels of osteogenic differentiation-related genes,such as Ocn,Runx2,Osx and Col1(P＜0.01).Conclusion Dex exerts anti-bone loss effect in tail-suspended rats,which may be associated with its stimulation on osteoblast-mediated bone formation.

Objective To establish the judgment basis of ventilation pipe status by 0 daPa wideband acoustic immittance(WAI-0 daPa),and to assist doctors to determine the status of ventilation tube and determine the timing of extubation.Methods A total of 43 children with 62 ears aged 3-6 years old were tested by 0 daPa broadband acoustic reactance test.The normal middle ear function group were ten children with 20 ears.Children with secreto-ry otitis media more than 12 months after tympanic tube catheterization were divided into 11 cases 19 ears of clear ventilation tube group,and 23 ears in 22 cases of ventilation tube blockage group.A total of 107 frequencies of WAI-0 daPa were obtained.The Kruskal-Wallis H and Nemenyi were used to analyze the influence of ventilation tube status on WAI-0 daPa.Results The WAI-0 daPa at 226-667 Hz was significantly higher in the clear ventila-tion tubegroupthan in the normal middle ear group.The WAI-0 daPa at 226-500 Hz was significantly lower in the blocked ventilation tube group than in the clear ventilation tube group.The WAI-0 daPa at 2 000-3 364 Hz and 6 727 Hz in the normal middle ear function group were significantly higher than those in the blocked ventilation tube group.The WAI-0 daPa in low frequencies was less than 20％,the possibility of blackage of eardrum tube was greater.Conclusion The absorptivity in low frequency region of WAI-0 daPa can be used to determine the status of tympanic catheter ventilation tube and assist doctors to determine the timing of extubation.

Objective To explore the effect of home-based pharmaceutical care for patients with stable chronic obstruc-tive pulmonary diseases(COPD)based on a digital remote management applet.Methods A total of 237 patients with stable COPD from a hospital pharmaceutical outpatient service from March 2022 to March 2023 were divided into a control group,a home visit group,and a remote management group according to the random number table method.Patients in the home visit and re-mote management groups received home-based pharmaceutical interventions such as health science popularization,medication con-sultation,medication guidance,effect evaluation of pharmacotherapy,prescription simplification,and reorganization.Such interven-tions were not provided in the control group.Regular follow-up was performed for 12 months.Results After a pharmaceutical intervention,the operating scores of the inhalation device and medication compliance scores of the home visit and remote manage-ment groups were significantly better than the control group(P＜0.05).The improvement in medication compliance was greater in the remote management group than in the home visit group(54.3％ vs.44.6％).In the three groups between enrollment and 12 months follow-up,CAT scores decreased by 0.78,6.16,and 7.30 points in the control group,home visit group,and remote manage-ment group,respectively.The mean scores of SGRQ symptom decreased by 1.19,4.24,and 6.10 points,the mean activity scores decreased by 1.65,3.56,4.80 points,the impact mean score decreased by 1.08,4.19,5.16 points,and the mean score of the total score decreased by 1.29,4.00,4.80 points in the control group,home visit group,and remote management group,respectively.The remote management group showed dia better decline in CAT score and SGRQ score than the home visit group,and there were sig-nificant differences between the two groups compared with the control group after intervention(P＜0.05).Conclusions Digital remote management of home-based pharmaceutical care mode can effectively improve medication compliance,operation accuracy of inhalation devices,clinical symptoms,and the patient quality of life.This is an effective and efficient pharmaceutical care mode for the long-term home medication management of stable COPD patients.

Objective To evaluate the efficacy of non-ablative vaginal erbium-doped yttrium aluminum garnet(Er:YAG)laser therapy in improving symptoms in women with mild-to-moderate stress urinary incontinence(SUI).Methods A prospective,multicenter,randomized controlled trial was conducted.A total of 126 female SUI patients were enrolled and randomized in a 2∶1 ratio to the treatment group(n=84,receiving Er:YAG laser therapy)and the sham control group(n=42,undergoing non-energized laser device with shielded beam).Efficacy outcomes were compared between the two groups,including the International Consultation on Incontinence Questionnaire-Short Form(ICI-Q-SF)scores at baseline and 1,3,6 months after treatment,response rate 3 month after treatment,urine leakage volume,daily incontinence episodes and visual analog scale(VAS).Results One month and 3 months after treatment,the ICI-Q-SF scores in the treatment group(8.07±3.33 and 7.04±3.04,respectively)were significantly lower than those in the control group(9.57±4.03 and 9.65±3.27,respectively;both P＜0.05).The 3-month response rate was significantly higher in the treatment group(71.43％)compared to the control group(35.71％,P＜0.05).Improvements in urine leakage volume 1 and 3 months after treatment were significantly greater in the treatment group versus the control group(both P＜0.05).A statistically significant reduction in daily incontinence episodes was observed in the treatment group 1 month after treatment compared to the control group[2(0,5)times vs.4(2,8)times,P＜0.05].VAS score in the treatment group markedly decreased 1 month after treatment,comparable to the level observed in the control group[0(0,2.45)vs.0(0,0),P＜0.05].Conclusion Non-ablative vaginal Er:YAG laser therapy significantly alleviates symptoms in women with mild-to-moderate SUI and represents a viable treatment option for this condition.

Objective To identify the most significantly compressed areas and the areas with the best recovery effects by analyzing the changes in vertebral height after percutaneous vertebroplasty(PVP)in patients with osteoporotic vertebral compression fractures(OVCF)through lateral radiographs.Methods A retrospective analysis was conducted on the lateral X-rays of 186 injured vertebrae from 142 patients hospitalized in our hospital's intervertebral disc center.The sagittal height of the vertebrae was measured at five different points before and after surgery,and the collected data were statistically analyzed using SPSS software.Results There were statistically significant differences in the heights of the five measured points before and after surgery within OVCF injured vertebrae(P＜0.05),in the ascending order:central＜mid-anterior＜mid-posterior＜anterior edge＜posterior edge.Comparison of the height parameters of the five measured points before and after surgery showed statistically significant differences(P＜0.01).In comparing the height restoration differences of the five measured points after PVP,the differences between central and mid-anterior,central and anterior edge,and mid-posterior and anterior edge were found not to be statistically significant(P＞0.05).The differences in height restoration for the remaining groups were statistically significant(P＜0.05),with the height restoration differences from highest to lowest being:mid-anterior,central,anterior edge,mid-posterior,posterior edge.Conclusion In patients with OVCF,the compression of the injured vertebra is most pronounced in the central part,followed by the mid-anterior part.PVP surgery can effectively restore the height of various parts of the injured vertebra,especially in the mid-anterior and central parts of the vertebral body,where the recovery effect is particularly significant.