Objective:To study the effect of grape procyanidin (GPC) on the levels of plasma?-granule membrance protein 140 (GMP140) and thromboxane B2 (TXB2 ) in rats. Method:Wistar rats fed by high fat diet (HFD) were given GPC i.g. at different doses for 6 w, and the levels of plasma GMP140 and TXB2 were examined by radioimmunoassay (RIA). Result:Plasma GMP140 and TXB2 levels of high dose GPC were respectively 7.89?1.02ng/ml, 131.71?42.13 pg/ml, significantly lower than those of HFD group. Conclusion:GPC could inhibit the increase of plasma GMP140 and TXB2 induced by high fat diet in rats.

Objective To investigate the influence of peer education on maintenance knowledge of patients with peripherally inserted central catheter (PICC) outside the hospital.Methods 74 patients with PICC were divided into the intervention group and the control group with 37 patients in each group according to the random digit table,the intervention group received peer education and the conventional health education,while the control group only received routine health education.The maintenance knowledge of PICC was investigated with questionnaires and the results were analyzed.Results xfter intervention,the maintenance knowledge of the intervention group was significantly higher than that of the control group [(36.95±2.84) scores vs.(31.78 ± 4.79) scores,t=5.639,P＜0.05].The incidence rate of complications in the intervention group was lower than that of the control group [21.6％ (8/37) vs.62.2％(23/37),x2=12.491,P＜0.01].Conclusions The peer education can improve patients' maintenance knowledge about PICC and reduce the occurrence rate of the complications of PICC.

Objective To investigate the variations in the pol region of HIV-1 strain in treatment failed patients in Yunnan province's Dehong prefecture and Kunming. Methods Blood samples were collected from 139 patients who experienced treatment failure ( HAART treatment ＞ 1 years and HIV-1 RNA Viral load ＞ 1 000 copies/ml). HIV-1 RNA was extracted from plasma, and nested-PCR was performed for amplification of PR and RT genes on the HIV-1 pol region. The PCR products were then sequenced and submitted to Stanford HIV Drug Resistance Database for comparison. The evolution tree was built up with MEGA 4. 1 system, combined with patients' demographics. Results The most prevalent mutation in Kunming patients were T215F/N/Y/I, M41L/M, and T69G/N/I/S/A/D, the mutation rates were 39%(24/62), 27% (17/62) and 27% (17/62) , respectively, which were higher than the corresponding mutations in the Dehong prefecture [16% ( 11/69), 13% (9/69) and 9% (6/69)]. The rate differences were statistically significant ( x2 = 8.646, 4.242 and 7. 909, all P ＜ 0.05 ). The most common HIV-1 pol region subtype in the Dehong patients were CRF01_AE subtype (32%, 22/69), followed by C subtype (25% ,17/69), and B subtype ( 19%, 13/69). Major subtypes in Kunming patients were 08_BC (60%,37/62 ), CRF01_AE subtype(21% , 13/62 ) and 07_BC ( 15% ,9/62). Conclusions Partial differences of the point mutations of the HIV-1 strain pol region and frequency of their occurrences exist among Dehong and Kunming patients, HIV-1 strains in Dehong prefecture for the NNRTIs mutations at the T215 Y/N/T, M41L and T69G/N/I/S/A/D are significantly higher than those in Kunming. Six isoforms are found respectively:CRF01_AE, B, C, BC, 08_BC and 07_BC from the epidemic strains of HIV-1 pol region subtype in Dehong and Kunming areas.

Objective To evaluate the value of transrectal real-time tissue elastography (TRTE) combined with multi parameter magnetic resonance imaging (MRI) in prostate biopsy.Methods One hundred and five patients of suspected prostate cancer patients were treated from December 2013 to December 2015 in Jiaxing Traditional Chinese Medicine Hospital. All the patients were confirmed by operation and pathology. Transrectal ultrasonography guided biopsy was performed in 105 patients after TRTE and MRI examinations, respectively, including routine 6 point needle biopsy and targeted biopsy of the positive area. The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of TRTE, MRI and TRTE combined with MRI guided biopsy in the diagnosis of prostate cancer were evaluated with the results of operation and pathology as the gold standard.Results Surgical pathology confirmed that there were 44 benign prostatic nodules and 61 cases of prostate cancer in 105 cases. Fifty-two cases of prostate cancer was diagnosed by TRTE, and 45 cases were confirmed by operation and pathology. Fifty-six cases of prostate cancer was diagnosed by MRI, and 48 cases were confirmed by operation and pathology. The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of diagnosing prostate cancer by TRTE, MRI and TRTE combined with MRI guided percutaneous biopsy were 71.4％, 84.0％, 78.0％, 0.865, 0.698, 78.6％, 81.8％, 80.0％, 0.857, 0.734, 90.1％, 88.6％, 89.5％,0. 916 and 0.866. The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of diagnosing prostate cancer by TRTE combined with MRI guided biopsy were higher than those of TRTE and MRI. Conclusions Both TRTE and MRI have their respective advantages. The accurate localization before puncture is helpful to develop individualized program for prostate puncture, and the combining use of the two methods can improve the detection rate of prostate cancer.

Background::Pulmonary embolism (PE) is a severe and acute cardiovascular syndrome with high mortality among patients with autoimmune inflammatory rheumatic diseases (AIIRDs). Accurate prediction and timely intervention play a pivotal role in enhancing survival rates. However, there is a notable scarcity of practical early prediction and risk assessment systems of PE in patients with AIIRD.Methods::In the training cohort, 60 AIIRD with PE cases and 180 age-, gender-, and disease-matched AIIRD non-PE cases were identified from 7254 AIIRD cases in Tongji Hospital from 2014 to 2022. Univariable logistic regression (LR) and least absolute shrinkage and selection operator (LASSO) were used to select the clinical features for further training with machine learning (ML) methods, including random forest (RF), support vector machines (SVM), neural network (NN), logistic regression (LR), gradient boosted decision tree (GBDT), classification and regression trees (CART), and C5.0 models. The performances of these models were subsequently validated using a multicenter validation cohort.Results::In the training cohort, 24 and 13 clinical features were selected by univariable LR and LASSO strategies, respectively. The five ML models (RF, SVM, NN, LR, and GBDT) showed promising performances, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.962-1.000 in the training cohort and 0.969-0.999 in the validation cohort. CART and C5.0 models achieved AUCs of 0.850 and 0.932, respectively, in the training cohort. Using D-dimer as a pre-screening index, the refined C5.0 model achieved an AUC exceeding 0.948 in the training cohort and an AUC above 0.925 in the validation cohort. These results markedly outperformed the use of D-dimer levels alone.Conclusion::ML-based models are proven to be precise for predicting the onset of PE in patients with AIIRD exhibiting clinical suspicion of PE.Trial Registration::Chictr.org.cn: ChiCTR2200059599.