Therapeutic effects of baicalin on lipopolysaccharide-induced acute lung injury in rats

Baicalin is a flavonoid present in many traditional Chinese medicines. A number of studies show that baicalin has anti-inflammatory actions and protects against a variety of tissue and organ injuries. The effect of baicalin in lipopolysaccharide (LPS)-induced acute lung injury is not well studied. In this study, typically acute lung injury was induced in rat by intratracheal injection of LPS, which increased lactate dehydrogenase activity and protein content in bronchoalveolar lavage fluid, wet/dry lung weight ratio, Evan's blue dye leakage, and neutrophil infiltration. Baicalin (20 mg/kg) was administrated 1 hour before or 30 min after LPS injection. Both pre and post-treatment with baicalin attenuated the increase of these parameters and improved histological finding. Our results suggest that baicalin has a therapeutic effect on LPS-induced acute lung injury.     

利培酮辅助治疗无精神病性症状抑郁症对照研究

目的探讨抗抑郁剂联合小剂量利培酮治疗无精神病性症状抑郁症的增效作用。方法将50例无精神病性症状的抑郁症患者随机分为氟西汀治疗组和氟西汀联合利培酮治疗组．治疗前及治疗第1、2、6w末采用汉密顿抑郁量表、副作用量表评定临床疗效和不良反应。结果研究组起效快．效显率高．治疗后同期汉密顿抑郁量表评分两组间比较差异均有极显著性（P〈0．01）;副作用量表评分无显著性差异（P〉0．05）。结论抗抑郁剂联合小剂量利培酮治疗无精神病性症状抑郁症具有增效作用。     

医学视听教材的现状和设计制作趋势分析

文章在总结医学视听教材制作现状的基础上,从医学视听教材设计制作的设备、人员专业素质、环境的变化所显示的以人为本的时代精神、娱教性和片段医学视听教材越来越得到关注以及制作队伍出现的泛化现象等方面论述了其发展趋势。     

临床路径推广难点分析

临床路径作为一种新的医疗管理模式,它可以提高医院的运行效率,改善医护质量,降低医疗费用,目前已引起医院管理者的广泛关注.文章就临床路径概念及现阶段推广过程中的阻力、难点进行了逐一阐述.     

Success of targeted transperineal biopsy in patients on surveillance for grade group 1 prostate cancer

IntroductionWe aimed to determine the minimum cross-sectional ellipsoid area on magnetic resonance (MR) of intraprostatic nodules that best predicts for subsequent targeted biopsies revealing ≥ grade group (GG) 2 disease.MethodsForty-six patients previously diagnosed with GG 1 prostate adenocarcinoma who received cognitively fused, MR-guided, transperineal targeted biopsies in addition to six random biopsies were included in this analysis. A Youden cutpoint analysis was used to determine the ellipsoid area in the axial plane best predicting for ≥GG 2 disease within the targeted biopsy cores and logistic regression used to assess the result.ResultsMedian time from MR imaging to targeted biopsy was 2.4 (1.4–5.5) months. Forty of 46 (87%) patients had one nodule and 6/46 (13%) had two separate nodules on MR that received targeted biopsy. Of the 52 nodules, five (10%), 33 (63%), and 14 (27%) were Prostate Imaging-Reporting and Data System (PI-RADS) 3, 4, and 5, respectively. Thirteen (25%), six (12%), and 33 (64%) were in the anterior, medial, and posterior regions of the prostate, respectively. Median area was 0.72 (0.49–1.29) cm² (average diameter 9.5 mm). Fifteen of 46 (33%) patients had ≥1 random biopsy and 20/52 (38%) nodules had ≥1 targeted biopsy revealing ≥GG 2 disease. The optimal area cutpoint was ≥0.7 cm², with an area under the curve of 0.671 (0.510–0.832). On logistic regression, area ≥0.7 cm² was solely predictive of targeted biopsy revealing ≥GG 2 disease (odds ratio 6.5, 1.3–32.4, p=0.022).ConclusionsNodule area ≥0.7 cm² may predict for transperineal-based targeted biopsies being positive for ≥GG 2 disease when 1–2 cores are taken.     

Improving Anti-Coking Properties of Ni/Al2O3 Catalysts via Synergistic Effect of Metallic Nickel and Nickel Phosphides in Dry Methane Reforming

A series of NiP-x/Al₂O₃ catalysts containing different ratio of metallic nickel to nickel phosphides, prepared by varying Ni/P molar ratio of 4, 3, 2 through a co-impregnation method, were employed to investigate the synergistic effect of metallic nickel-nickel phosphides in dry methane reforming reaction. The Ni/Al₂O₃ catalyst indicates good activity along with severe carbon deposition. The presence of phosphorus increases nickel dispersion as well as the interaction between nickel and alumina support, which results in smaller nickel particles. The co-existence of metallic nickel and nickel phosphides species is confirmed at all the P contained catalysts. Due to the relative stronger CO₂ dissociation ability, the NiP-x/Al₂O₃ catalysts indicate obvious higher resistance of carbon deposition. Furthermore, because of good balance between CH₄ dissociation and CO₂ dissociation, NiP-2/Al₂O₃ catalyst exhibits best resistance of carbon deposition, few carbon depositions were formed after 50 h of dry methane reforming.     

Prediction of the Uric Acid Component in Nephrolithiasis Using Simple Clinical Information about Metabolic Disorder and Obesity: A Machine Learning-Based Model

There is a great need for a diagnostic tool using simple clinical information collected from patients to diagnose uric acid (UA) stones in nephrolithiasis. We built a predictive model making use of machine learning (ML) methodologies entering simple parameters easily obtained at the initial clinical visit. Socio-demographic, health, and clinical data from two cohorts (A and B), both diagnosed with nephrolithiasis, one between 2012 and 2016 and the other between June and December 2020, were collected before nephrolithiasis treatment. A ML-based model for predicting UA stones in nephrolithiasis was developed using eight simple parameters—sex, age, gout, diabetes mellitus, body mass index, estimated glomerular filtration rate, bacteriuria, and urine pH. Data from Cohort A were used for model training and validation (ratio 3:2), while data from Cohort B were used only for validation. One hundred and forty-six (13.3%) out of 1098 patients in Cohort A and 3 (4.23%) out of 71 patients in Cohort B had pure UA stones. For Cohort A, our model achieved a validation AUC (area under ROC curve) of 0.842, with 0.8475 sensitivity and 0.748 specificity. For Cohort B, our model achieved 0.936 AUC, with 1.0 sensitivity, and 0.912 specificity. This ML-based model provides a convenient and reliable method for diagnosing urolithiasis. Using only eight readily available clinical parameters, including information about metabolic disorder and obesity, it distinguished pure uric acid stones from other stones before treatment.