Objective To explore the value of biparametric magnetic resonance imaging(bp-MRI)radiomics models in noninvasive prediction of high-risk prostate cancer.Methods A total of 320 patients with pathologically confirmed prostate cancer were retro-spectively selected,and all patients underwent bp-MRI before pathology,including T2WI and diffusion weighted imaging(DWI).Appar-ent diffusion coefficient(ADC)maps were extracted from DWI.All patients were divided into high-risk(Gleason score≥8)and medium-low risk(Gleason score ≤7)groups based on the Gleason score.Using 3D Slicer software,the entire prostate gland was outlined.Python software was used to calculate parameters,and the minimum redundancy maximum correlation and sequence back-ward elimination algorithms were used to extract and select radiomics features and to build a model.Three radiomics(T2 WI,DWI,ADC)models were constructed and verified by logistic regression(LR).The performance of the model was evaluated by area under the curve(AUC)of receiver operating characteristic(ROC)curve,specificity(SP),sensitivity(SE),and accuracy(ACC).An indi-vidual prediction model was established via the clinical data of 224 patients and bp-MRI features,and validated via the data of 96 patients.Results A total of 1 165 radiomics features were extracted.After feature screening,2,4 and 6 radiomics features were screened out to construct T2WI model,DWI model and ADC model for predicting high-risk prostate cancer.All radiomics models had significant predictive performance in identifying medium-low risk and high-risk groups(P＜0.05).The DWI model had the highest predictive value,and the AUC,ACC,SE,and SP in the training group were 0.814,0.756,0.838,and 0.744,respectively.The AUC,ACC,SE,and SP in the verification group were 0.840,0.756,0.848,and 0.784,respectively.Conclusion Radiomics based on bp-MRI can better identify medium-low risk and high-risk prostate cancer before surgery.

Objective To establish a deep learning model for testing the feasibility of combining magnetic resonance imaging(MRI)deep learning features with clinical features for preoperative prediction of cytokeratin 19(CK19)status of hepatocellular carcinoma(HCC).Methods A retrospective experiment was conducted based on the data of 116 HCC patients with confirmed CK19 status.A single sequence multi-scale feature fusion deep learning model(MSFF-IResnet)and a multi-scale and multi-modality feature fusion model(MMFF-IResnet)were established based on the hepatobiliary phase(HBP),diffusion weighted imaging(DWI)sequences of enhanced MRI images,and the clinical features significantly correlated with CK19 status.The classification performance of the models were evaluated to assess the effectiveness of the deep learning models for predicting CK19 status of HCC before surgery.Results Multivariate analysis showed that an increased neutrophil-to-lymphocyte ratio(P=0.029)and incomplete tumor capsule(P=0.028)were independent predictors of CK19 expression in HCC.The deep learning models improved by multi-scale feature fusion and multi-modality feature fusion methods achieved better classification results than the traditional machine learning models and baseline models,and the final MMFF-IResnet model showed the best classification performance with an AUC of 84.2%,an accuracy of 80.6%,a sensitivity of 80.1%and a specificity of 81.2%.Conclusion The multi-scale and multi-modality feature fusion model based on MRI and clinical parameters is capable of predicting CK19 status of HCC,demonstrating the feasibility of combining deep learning methods with MRI and clinical features for preoperative prediction of CK19 status.

Objective To establish a deep learning model for testing the feasibility of combining magnetic resonance imaging(MRI)deep learning features with clinical features for preoperative prediction of cytokeratin 19(CK19)status of hepatocellular carcinoma(HCC).Methods A retrospective experiment was conducted based on the data of 116 HCC patients with confirmed CK19 status.A single sequence multi-scale feature fusion deep learning model(MSFF-IResnet)and a multi-scale and multi-modality feature fusion model(MMFF-IResnet)were established based on the hepatobiliary phase(HBP),diffusion weighted imaging(DWI)sequences of enhanced MRI images,and the clinical features significantly correlated with CK19 status.The classification performance of the models were evaluated to assess the effectiveness of the deep learning models for predicting CK19 status of HCC before surgery.Results Multivariate analysis showed that an increased neutrophil-to-lymphocyte ratio(P=0.029)and incomplete tumor capsule(P=0.028)were independent predictors of CK19 expression in HCC.The deep learning models improved by multi-scale feature fusion and multi-modality feature fusion methods achieved better classification results than the traditional machine learning models and baseline models,and the final MMFF-IResnet model showed the best classification performance with an AUC of 84.2%,an accuracy of 80.6%,a sensitivity of 80.1%and a specificity of 81.2%.Conclusion The multi-scale and multi-modality feature fusion model based on MRI and clinical parameters is capable of predicting CK19 status of HCC,demonstrating the feasibility of combining deep learning methods with MRI and clinical features for preoperative prediction of CK19 status.

BackgroundThe comorbidity rate of bipolar disorder and borderline personality disorder （BPD） is high， and the cognitive impairment of comorbidity patients is more serious. ObjectiveTo explore the difference of cognitive function between bipolar disorder patients with BPD or not， so as to provide references for clinical diagnosis and treatment. MethodsUsing simple random sampling， 60 patients with bipolar disorder comorbidity BPD treated in the First Hospital of Hebei Medical University from April 2021 to April 2022 were selected as the research group， including 33 patients with bipolar depression and 27 patients with bipolar mania. At the same time， 60 patients with bipolar disorder were randomly selected as the control group， including 35 patients with bipolar depression and 25 patients with bipolar mania. The cognitive function of patients was evaluated by the Chinese version of Repeatable Battery for the Assessment of Neuropsychological Status （RBANS） and the Stroop Color Word Test. ResultsThe immediate memory， visual span， speech function and total score of RBANS in the comorbid group were lower than those in the non-comorbid group， and the differences were statistically significant （t=-2.356， -2.138， -3.306， -2.729， P<0.05 or 0.01）. The single word time， single color time， double word time and double color time in Stroop Color Word Test in comorbid group were longer than those in non-comorbid group， and the differences were statistically significant （t=4.808， 3.341， 5.249， 5.167， P<0.01）. The immediate memory， visual span， speech function and total score in RBANS of bipolar depression patients with comorbid BPD were lower than those of bipolar depression patients without comorbid BPD （t=-2.446， -2.407， -2.231， -2.078， P<0.05）， and the time of single word， single color， double word and double color in Stroop Color Word Test were longer than those of non-comorbid BPD patients （t=-3.652， 3.035， 4.406， 5.016， P<0.01）. The speech function and total score of RBANS in bipolar manic patients in comorbid group were higher than those in non-comorbid group （t=-2.777， -2.347， P<0.05 or 0.01）， and the time of single word， single color， double word and double color in Stroop Color Word Test were longer than those in non-comorbid group （t=3.600， 2.658， 2.943， 4.337， P<0.05 or 0.01）. ConclusionThe cognitive impairment of bipolar disorder patients comorbid with BPD is more severe than that of patients without comorbid with BPD. ［Funded by Medical Science Research Project of Hebei Province in 2022 （number， 20221407）］

OBJECTIVE To evaluate the effectiveness， safety， economy， innovation， suitability and accessibility of recombinant Mycobacterium tuberculosis fusion protein （EC）， and to provide evidence for selecting skin detection methods for tuberculosis infection diagnosis and auxiliary diagnosis of tuberculosis. METHODS The effectiveness and safety of EC compared with purified protein derivative of tuberculin （TB-PPD） were analyzed by the method of systematic review. Cost minimization analysis， cost-effectiveness analysis and cost-utility analysis were used to evaluate the short-term economy of EC compared with TB-PPD， and cost-utility analysis was used to evaluate the long-term economy. The evaluation dimensions of innovation， suitability and accessibility were determined by systematic review and improved Delphi expert consultation， and the comprehensive score of EC and TB-PPD in each dimension were calculated by the weight of each indicator. RESULTS The scores of effectiveness， safety， economy， innovation and suitability of EC were all higher than those of TB-PPD. The affordability scores of the two drugs were consistent， while the availability score of EC was lower than those of TB-PPD. After considering dimensions and index weight， the scores of effectiveness， safety， economy， innovation， suitability， accessibility and the comprehensive score of EC were all higher than those of TB-PPD. CONCLUSIONS Compared with TB-PPD， EC performs better in all dimensions of effectiveness， safety， economy， innovation， suitability and accessibility. However， it is worth noting that EC should further improve its availability in the dimension of accessibility.

Objective:A high-throughput assay for the detection of five common clinical Candidaemia pathogens was established by combining polymerase chain reaction (PCR) and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS).Method:Establishment of methodology. We selected Candida albicans, Candida parapsilosis, Candida glabrata, Candida krusei, Candida tropicalis to be the target pathogens and the internal transcribed spacer (ITS) region as the target gene. Specific single base extension primers were designed to perform single base extension reaction in the same reaction system. MALDI-TOF MS was used to detect the characteristic peaks of each target pathogen. The sensitivity and specificity of the detection system were verified by using spiked blood samples. Totally 108 blood samples from proven or suspected candidaemia patients were collected from October 2021 to September 2022 in a hospital in Beijing. The results of nucleic acid mass spectrometry were compared with those of clinical blood culture. Results:The established nucleic acid mass spectrometry detection system can simultaneously detect five common clinical Candida species. Each strain can produce specific product peaks and there is no mutual interference between the strains. The detection limit of Candida albicans was 100 CFU/ml. The detection limit of Candida parapsilosis, Candida glabrata, Candida krusei and Candida tropicalis was 10 CFU/ml. For the 108 blood samples, the sensitivity, specificity, positive predictive value and negative predictive value of nucleic acid mass spectrometry were 94.74% (36/38), 97.14% (68/70), 92.31% (36/39) and 98.55% (68/69), respectively. The McNemar χ 2 test showed no significant difference between the two methods ( P>0.05), and the Kappa consistency test showed good consistency between the two methods ( Kappa=0.9, P<0.05). Conclusion:A nucleic acid mass spectrometry detection system suitable for clinical candida detection was successfully constructed, and the method validation results were consistent with the clinical blood culture.

Antipyretic-analgesics are currently one of the most prescribed drugs in children.The clinical application of antipyretic-analgesics for children in our country still have irrational phenomenon, which affects the therapeutic effect and even poses hidden dangers to the safety of children.In this paper, suggestions were put forward from the indications, dosage form/route, dosage suitability, pathophysiological characteristics of children with individual differences and drug interactions in the symptomatic treatment of febrile children, so as to provide reference for the general pharmacists when conducting prescription review.

Objective:To explore the regulatory effects of cow milk with the addition of breast milk equivalent dose of somatostatin (SST) and motilin (MTL) on food allergy and food intolerance.Methods:Young Brown Norway (BN) rats were divided into 5 groups and fed with pure breast milk(breast milk group), cow milk(cow milk group), cow milk added with SST(SST group), cow milk added with MTL(MTL group) and cow milk added with both SST+ MTL(SST+ MTL group). Allergic irritation was enhanced with skin smear at the same time.Clinical damages were quantified weekly.Levels of serous total Immunoglobulin E (IgE) and fecal calprotectin (FC) were detected by the enzyme-linked immunosorbent assay (ELISA). Gastric emptying ratio and intestinal propulsion ratio were measured by method of dextran blue.Results:In breast milk group, cow milk group, SST group, MTL group and SST + MTL group, the levels of IgE were (45.75±5.05) μg/L, (580.42±45.24) μg/L, (290.38±22.88) μg/L, (424.26±22.17) μg/L, (209.49±17.59) μg/L, respectively; FC level were (149.07±24.78) μg/g, (458.85±33.81) μg/g, (343.63±34.97) μg/g, (407.79±29.62) μg/g, (296.83±28.77) μg/g, respectively; the total score of clinical damage were (0.50±0.61) scores, (9.37±1.04) scores, (6.83±1.49) scores, (7.00±1.14) scores, (5.37±1.19) scores, respectively.The cow milk group had the highest scores of clinical damages.Compared with the cow milk group, the clinical damage score, IgE and FC of the SST, MTL and SST+ MTL groups had significantly lower levels, and there was significant difference among them (all P<0.01). The general status of the SST + MTL group was most similar to the breast milk group.The gastric emptying rate of MTL group was the closest to that of breast milk group [(92.52±6.27)% vs.(100.00±9.70)%, P<0.05]. There were obvious diarrhea and fast small intestinal propulsion in cow milk group, the small intestinal propulsion ratio in breast milk group was (39.32±2.61)%, and (71.96±4.43) % in cow milk group, the difference was statistically significant between the 2 groups ( P<0.01). The intestinal motility of SST+ MTL group was decreased, but it just prevented diarrhea caused by milk allergy, the small intestine propulsion ratio in SST+ MTL group was (38.90±2.65)% vs.breast milk group (39.32±2.61)%( P>0.05). Conclusions:The cow milk added with SST and MTL decreased allergic reaction and increased food tolerance in gastrointestinal tract, which was more similar to breast milk.SST was beneficial to relieving allergic immune reaction, MTL contributed to improving the gastrointestinal tolerance of cow milk.The combination of SST and MTL may achieve an antagonistic and balanced mechanism on gastrointestinal regulation, which could synergistically improve the gastrointestinal tolerance of cow milk.

Objective:To explore the factors related to cognitive dysfunction after traumatic brain injury.Methods:A total of 55 patients with traumatic brain injury were analyzed retrospectively. The clinical information about the patients, including age, gender, paralyzed side, course of the disease, type of injury, degree of injury, treatment, speech function (grades of Boston aphasia severity), swallowing function (7-level evaluation method), limb motor function (Brunnstrom stages of the upper limb, hand and lower limb), complications (tracheotomy, lung infection, urinary tract infection, pressure sores, electrolyte imbalance and hypoproteinemia), whether the patient received rehabilitation therapy, and D-dimer and coagulation examination results were recorded. Univariate analysis and ordered multi-class logistic regression analysis were conducted to screen the related factors using Rancho Los Amigos cognitive function grades as the dependent variable.Results:The results of the univariate analysis showed that consciousness, aphasia severity, swallowing ability, Brunnstrom stages, having received a tracheotomy, urinary tract infection, hypoproteinemia, fibrinogen and D-dimer all significantly predicted Rancho Los Amigos cognitive function grades. The logistic regression analysis showed that disordered consciousness, aphasia severity, Brunnstrom stage of the upper limbs, and urinary tract infection were significant predictors.Conclusions:Disordered consciousness, aphasia severity, Brunnstrom stage of the upper limbs, and urinary tract infection are factors related to cognitive dysfunction after traumatic brain injury.

To explore diagnostic value of platelet count (PLT) ,plasma D– dimer (D‐D) , antithrombin Ⅲ(AT‐III) levels and UACR for microvascular disease (MVD) in type 2 diabetes mellitus (T2DM).Methods : A total of 284 T2DM patients treated in our hospital were divided into no MVD group (n＝144) and MVD group (n＝140) according to MVD condition .Another 120 healthy people were enrolled as healthy contrrol group .Levels of PLT ,plasma D‐D and AT‐Ⅲ,unine microalbuminuria (UMA) and creatinine (UCr) and UMA／UCr ratio (UACR) were measured and compared a‐mong all groups .The diagnostic value of combined detection of PLT ,plasma D‐D and AT‐Ⅲ levels and above triple detec‐tion combined UACR for MVD in T2DM were analyzed.Results : Compared with healthy control group ,there were signif‐icant reductions in levels of PLT [ (212.34 ± 51.23)×109／L vs.(116.46 ± 46.43)×109／L vs.(98.48 ± 35.66)× 109／L] and plasma AT‐III [(103.54 ± 7.23)% vs.(99.52 ± 4.24)% vs.(75.34 ± 5.31)%] ,and significant rise in levels of plasma D‐D [ (0.31 ± 0.16) mg／L FEU vs.(0.85 ± 0.33) mg／L FEU vs.(1.08 ± 0.52) mg／L FEU] and UCr [ (3.36 ± 1.56) mmol／L vs.(4.51 ± 1.79) mmol／L vs.(12.31 ± 5.12) mmol／L] in no MVD group and MVD group . And levels of PLT and plasma AT‐III of MVD group were significantly lower than those of no MVD group ,plasma D‐D and UCr levels of MVD group were significantly higher than those of no MVD group ( P＜ 0.01 all).Compared with healthy control group ,no MVD group ,there were significant rise in levels of UACR [ (11.25 ± 5.02) mg／mmol vs. (10.01 ± 4.39) mg／mmol vs.(59.89 ± 16.32) mg／mmol] , UMA [ (38.25 ± 17.22) mg／mmol vs.(41.11 ± 18.53) mg／L vs.(722.32 ± 101.54) mg／L] in MVD group ,and UACR of no MVD group was significantly lower than that of health control group (P＜0.05 or 0.01).Compared with single UACR detection and triple combined detection of PLT ,plasma D‐D and AT‐Ⅲ levels ,there were significant rise in sensitivity (85.51% vs.87.82% vs.90.33%) ,specificity (90.54%vs.85.32% vs.94.32%) and accuracy (82.33% vs.84.56% vs.90.21%) in triple detection combined UACR ( P＝0.001 all).Conclusion :Combined detection of PLT ,plasma D‐D and AT‐Ⅲ levels with UACR are significanly superior to combined detection for screening MVD in T2DM.