OBJECTIVE To evaluate the influence of pharmaceutical quality control on the efficiency and outcomes of standardized medication therapy management （MTM） services for patients with coronary heart disease by using Economic， Clinical and Humanistic Outcomes （ECHO） model. METHODS This study collected case data of coronary heart disease patients who received MTM services during January-March 2023 （pre-quality control implementation group， n＝96） and June-August 2023 （post-quality control implementation group， n＝164）. Using propensity score matching analysis， 80 patients were selected from each group. The study subsequently compared the economic， clinical， and humanistic outcome indicators of pharmaceutical services between the two matched groups. RESULTS There were no statistically significant differences in baseline data between the two groups after matching （P＞0.05）. Compared with pre-quality control implementation group， the daily treatment cost （16.26 yuan vs. 24.40 yuan， P＜0.001）， cost-effectiveness ratio [23.12 yuan/quality-adjusted life year （QALY） vs. 32.32 yuan/QALY， P＜0.001]， and the incidence of general adverse drug reactions （2.50% vs. 10.00%， P＝0.049） of post-quality control implementation group were decreased significantly； the utility value of the EuroQol Five-Dimensional Questionnaire （0.74± 0.06 vs. 0.71±0.07， P＝0.003）， the reduction in the number of medication related problems （1.0 vs. 0.5， P＜0.001）， the medication adherence score （[ 6.32±0.48） points vs. （6.10±0.37） points， P＝0.001]， and the satisfaction score （[ 92.56±1.52） points vs. （91.95±1.56） points， P＝0.013] all showed significant improvements. Neither group experienced serious adverse drug reactions. There was no statistically significant difference in the incidence of new adverse reactions between the two groups （1.25% vs. 3.75%， P＝0.310）. CONCLUSIONS Pharmaceutical quality control can improve the quality of pharmaceutical care， and the ECHO model can quantitatively evaluate the effect of MTM services， making pharmaceutical care better priced and more adaptable to social needs， thus being worthy of promotion.

Objective:Glioblastoma(GBM)and brain metastases(BMs)are the two most common malignant brain tumors in adults.Magnetic resonance imaging(MRI)is a commonly used method for screening and evaluating the prognosis of brain tumors,but the specificity and sensitivity of conventional MRI sequences in differential diagnosis of GBM and BMs are limited.In recent years,deep neural network has shown great potential in the realization of diagnostic classification and the establishment of clinical decision support system.This study aims to apply the radiomics features extracted by deep learning techniques to explore the feasibility of accurate preoperative classification for newly diagnosed GBM and solitary brain metastases(SBMs),and to further explore the impact of multimodality data fusion on classification tasks. Methods:Standard protocol cranial MRI sequence data from 135 newly diagnosed GBM patients and 73 patients with SBMs confirmed by histopathologic or clinical diagnosis were retrospectively analyzed.First,structural T1-weight,T1C-weight,and T2-weight were selected as 3 inputs to the entire model,regions of interest(ROIs)were manually delineated on the registered three modal MR images,and multimodality radiomics features were obtained,dimensions were reduced using a random forest(RF)-based feature selection method,and the importance of each feature was further analyzed.Secondly,we used the method of contrast disentangled to find the shared features and complementary features between different modal features.Finally,the response of each sample to GBM and SBMs was predicted by fusing 2 features from different modalities. Results:The radiomics features using machine learning and the multi-modal fusion method had a good discriminatory ability for GBM and SBMs.Furthermore,compared with single-modal data,the multimodal fusion models using machine learning algorithms such as support vector machine(SVM),Logistic regression,RF,adaptive boosting(AdaBoost),and gradient boosting decision tree(GBDT)achieved significant improvements,with area under the curve(AUC)values of 0.974,0.978,0.943,0.938,and 0.947,respectively;our comparative disentangled multi-modal MR fusion method performs well,and the results of AUC,accuracy(ACC),sensitivity(SEN)and specificity(SPE)in the test set were 0.985,0.984,0.900,and 0.990,respectively.Compared with other multi-modal fusion methods,AUC,ACC,and SEN in this study all achieved the best performance.In the ablation experiment to verify the effects of each module component in this study,AUC,ACC,and SEN increased by 1.6%,10.9%and 15.0%,respectively after 3 loss functions were used simultaneously. Conclusion:A deep learning-based contrast disentangled multi-modal MR radiomics feature fusion technique helps to improve GBM and SBMs classification accuracy.

Objective:To evaluate direct and indirect costs for schizophrenia,major depressive disorder(MDD)and bipolar disorder,and to compare their differences of cost composition,and to explore the drivers of the total costs.Methods:A total of 3 175 inpatients with schizophrenia,MDD,and bipolar disorder were recruited.In-patient's self-report total direct of medical costs outpatient and inpatient,out-of-pocket costs,and direct non-medical costs were regarded as direct costs.Productivity loss and other loss caused by damaging properties were defined as indirect costs.The perspectives of this study included individual and societal levels.Multivariate regression analysis was applied for detecting the factors influencing disease costs.Results:The total cost of schizophrenia was higher than those of MDD and bipolar disorder at individual and societal levels.The indirect costs of three mental disorders were higher than the direct costs,and the indirect cost ratio of bipolar disorder was higher than those of schizophre-nia and MDD.Age,gender,working condition and marital status(P＜0.05)were the important drivers of total costs.Conclusion:The economic burden of the three mental disorders is relatively heavy.Schizophrenia has heaviest disease burden,and the productivity loss due to mental disorders is the driving force of the soaring disease cost

Objective To observe the characteristics of infant biliary atresia(BA)missed diagnosis by ultrasound.Methods Data of 72 BA infants missed by ultrasound(false-negative,group A),72 BA infants accurately diagnosed by ultrasound(true-positive,group B)and 72 non BA infants(controls,group C)were retrospectively analyzed.Clinical and ultrasonic features were compared between each 2 groups.Logistic regression analysis was performed to screen the impact factors for diagnosing and missed-diagnosing of BA.Results There were significant differences of total bilirubin,direct bilirubin,gamma glutamyl transpeptidase(GGT)and glutamic-oxaloacetic transaminase(GOT)between group A and C,also of total bilirubin,direct bilirubin and GGT between group B and C(all P＜0.05).Significant differences of the incidences of small gallbladder,gallbladder wall rigidity,poor gallbladder contraction function and fibrous plaques in the hepatic hilum were found between group A and B,of undetected or cystic changes in the gallbladder,gallbladder wall rigidity,poor gallbladder contraction function,fibrous plaques in the hepatic hilum and hepatic hilum cysts were noticed between group A and C(all P＜0.05),as well as of undetected or cystic changes in the gallbladder,small gallbladder,gallbladder wall rigidity,gallbladder wall thickening,poor gallbladder contraction function and fibrous plaques in the hepatic hilum were detected between group B and C(all P＜0.05).There were significant differences of display rate of common bile duct between each 2 groups(all P＜0.05).The lower incidence of fibrous plaques in the hepatic hilum and poor gallbladder contraction function were an impact factors for missed diagnosis of BA(both P＜0.05),while higher GGT,higher incidence of fibrous plaques in the hepatic hilum and poor gallbladder contraction function were all impact factors for diagnosis of BA in group A(all P＜0.05).Conclusion Infant BA missed diagnosis by ultrasound had lower incidence of fibrous plaques in the hepatic hilum and poor gallbladder contractile function.Combining with clinical data was helpful for reducing ultrasonic missed diagnosis of BA in infants.

Objective To evaluate the effect of preoperative metabolic syndrome on early function of renal allografts in allogeneic kidney transplant recipients.Methods Clinical data of 117 kidney transplant recipients were retrospectively analyzed.According to the renal allograft function,they were divided into the delayed graft function(DGF)group(n=29)and non-DGF group(n=88).Relevant risk factors of DGF in recipients undergoing allogeneic kidney transplantation were assessed by univariate and multivariate regression analyses.The effect of preoperative metabolic syndrome on early function of renal allografts was analyzed.Results Among 117 kidney transplant recipients,47 cases were complicated with preoperative metabolic syndrome,and 29 cases developed postoperative DGF.In the DGF group,83％of the recipients were complicated with preoperative metabolic syndrome,higher than 74％in the non-DGF group(P＜0.05).Univariate analysis showed that the body mass index(BMI)and terminal serum creatinine(Scr)level of the donors,and BMI,blood glucose level,triglyceride level and the proportion of preoperative metabolic syndrome of the recipients in the DGF group were higher than those in the non-DGF group(all P＜0.05).Multivariate logistic regression analysis revealed that high Scr levels of the donors,high hemoglobin levels of the recipients and preoperative metabolic syndrome of the recipients were the independent risk factors for DGF after kidney transplantation(all P＜0.05).Conclusions Preoperative metabolic syndrome is an independent risk factor for DGF in allogeneic kidney transplant recipients.Corresponding measures should be taken to lower the incidence of DGF and other metabolic complications.

Influenza imposes a significant disease burden on society and individuals annually, and influenza vaccination is considered a significant public health measure to prevent influenza and reduce influenza-related severe disease and death. The low influenza vaccination rate in China is partly due to certain factors affecting the willingness and behavior of individuals to receive them. Scientific research and targeted interventions on these factors can effectively improve the vaccination situation. Commonly used individual-level theoretical models for influenza vaccination behavior include the health belief model, protection motivation theory, and theory of planned behavior. This study reviews theoretical models commonly employed in researching influenza vaccination willingness and behavior. An overview of these practical applications and challenges models is presented to provide references for relevant research and intervention programs in China.

Objective To investigate the application effects of different myocardial protective solutions in total thoracoscopic minimally invasive aortic valve replacement surgery.Methods The clinical data of 72 patients with total thoracoscopic minimally invasive aortic valve replacement surgery in this hospital from May 2020 to January 2024 were analyzed retrospectively.The patients were divided into the St Thomas cardioplegia group(STH group,n=13),del Nido cardioplegia group(DN group,n=24),histidine tryptophan ketoglutar-ate solution group(HTK group,n=35)according to the different myocardial protective solutions.The levels of lactate(Lac)before and during surgery,the highest levels of myocardial creatine kinase isoenzyme(CK-MB),high-sensitivity troponin T(TnT)and creatinine(Cr)before operation,on the operative day and after surgery as well as the duration of extracorporeal circulation,aortic cross-clamping time,maximum flow rate,minimum bladder temperature,cardioplegia perfusion times,number of defibrillation after aortic de-clamping,postoperative ventilator assisted time,ICU stay duration and postoperative hospitalization duration were com-pared among the three groups.Results Except for 1 case of HTK was discharged automatically after surgery,the other 71 cases recovered and discharged according to the doctor's advice.There were no statistically signif-icant differences in the age,body weight,extracorporeal circulation time,aortic blocking time,maximum flow volume of extracorporeal circulation,minimum bladder temperature of extracorporeal circulation,Lac before extracorporeal circulation,highest Lac during extracorporeal circulation,assistant time of postoperative venti-lator,ICU stay duration,postoperative hospitalization duration,serum Cr before operation,Cr on operative day,preoperative TnT,postoperative TnT on operative day,postoperative highest TnT,preoperative CK-MB,postoperative CK-MB on operative day and postoperative highest CK-MB among the three groups(P＞0.05).There were statistically significant differences in the defibrillation ratio after aortic de-clamping and perfusion frequency of myocardial protective solution(P＜0.05).There was statistically significant difference in the perfusion frequency of myocardial protective solution in pairwise comparison among groups(P＜0.05),and the defibrillation ratio after aortic de-clamping had statistical difference between the DN group and HTK group(P＜0.05).Conclusion DN,STH and HTK all have good myocardial protective effect in total thoraco-scopic minimally invasive aortic valve surgery.HTK has the advantages of less perfusion times and decreasing the operative procedures compared with DN and STH;DN has the advantage of lower use for electrical defib-rillation correcting arrhythmias after aortic opening over HTK.

Humans ; Depressive Disorder, Major ; Motor Cortex ; Magnetic Resonance Imaging

The aldo-keto reductase super family (AKRs) has a wide range of substrate specificity. However, the systematic identification of insect AKR gene family members has not been reported. In this study, bioinformatics methods were used to predict the phylogenetic evolution, physical and chemical properties, chromosome location, conserved motifs, and gene structure of AKR family members in Bombyx mori (BmAKR). Transcriptome data or quantitative real time polymerase chain reaction (qRT-PCR) were used to analyze the expression level of BmAKR genes during different organizational periods and silkworm eggs in different developmental states. Moreover, Western blotting was used to detect the expression level of the BmAKR in silkworm eggs. The results showed that 11 BmAKR genes were identified. These genes were distributed on 4 chromosomes of the silkworm genome, all of which had the (α/β) 8-barrel motif, and their physical and chemical characteristics were relatively similar. Phylogenetic analysis showed that the BmAKR genes could be divided into 2 subgroups (AKR1 and AKR2). Transcriptome data analysis showed that the expression of BmAKR genes were quite different in different tissues and periods. Moreover, the expression analysis of BmAKR genes in silkworm eggs showed that some genes were expressed significantly higher in nondiapause eggs than in diapause eggs; but another gene, BmAKR1-1, was expressed significantly higher in diapause eggs than in nondiapause eggs. The detection of protein level found that the difference trend of BmAKR1-1 in diapause eggs and non-diapause eggs was consistent with the results of qRT-PCR. In conclusion, BmAKR1-1 was screened out as candidates through the identification and analysis of the BmAKR genes in silkworm, which may regulate silkworm egg development is worthy of further investigation.
Animals ; Bombyx/metabolism* ; Phylogeny ; Diapause ; Genes, Insect ; Gene Expression Profiling ; Insect Proteins/metabolism*