Machine learning to predict myocardial injury and death after non-cardiac surgery

Myocardial injury due to ischaemia within 30 days of non-cardiac surgery is prognostically relevant. We aimed to determine the discrimination, calibration, accuracy, sensitivity and specificity of single-layer and multiple-layer neural networks for myocardial injury and death within 30 postoperative days. We analysed data from 24,589 participants in the Vascular Events in Non-cardiac Surgery Patients Cohort Evaluation study. Validation was performed on a randomly selected subset of the study population. Discrimination for myocardial injury by single-layer vs. multiple-layer models generated areas (95%CI) under the receiver operating characteristic curve of: 0.70 (0.69–0.72) vs. 0.71 (0.70–0.73) with variables available before surgical referral, p < 0.001; 0.73 (0.72–0.75) vs. 0.75 (0.74–0.76) with additional variables available on admission, but before surgery, p < 0.001; and 0.76 (0.75–0.77) vs. 0.77 (0.76–0.78) with the addition of subsequent variables, p < 0.001. Discrimination for death by single-layer vs. multiple-layer models generated areas (95%CI) under the receiver operating characteristic curve of: 0.71 (0.66–0.76) vs. 0.74 (0.71–0.77) with variables available before surgical referral, p = 0.04; 0.78 (0.73–0.82) vs. 0.83 (0.79–0.86) with additional variables available on admission but before surgery, p = 0.01; and 0.87 (0.83–0.89) vs. 0.87 (0.85–0.90) with the addition of subsequent variables, p = 0.52. The accuracy of the multiple-layer model for myocardial injury and death with all variables was 70% and 89%, respectively.     

协同式早期运动干预在腹腔镜结直肠癌手术患者中的应用

目的 探讨协同式早期运动干预在腹腔镜结直肠癌手术患者中的应用效果。方法 使用随机数字表法将2020年5月-2021年5月于笔者所在医院进行腹腔镜结直肠癌手术的84例患者分为对照组和干预组,各42例。对照组术后采用常规运动干预,干预组术后采用协同式早期运动干预。比较2组术后恢复情况、身体状况、术后并发症发生情况。结果 干预组首次下床活动时间、术后排气时间、术后排便时间均早于对照组(χ²=11.823,P=0.001;χ²=4.687,P=0.001;χ²=7.611,P=0.001),术后7d干预组的多维度疲劳量表评分低于对照组(t=2.000,P=0.049),杜克活动指数高于对照组(t=2.256,P=0.027),2组术后并发症发生率比较,差异无统计学意义(χ²=0.343,P=0.558)。结论 协同式早期运动干预能够促进腹腔镜结直肠癌手术患者术后恢复,改善身体状况,值得推广应用。     

Assessment of the Benefits of Targeted Interventions for Pandemic Control in China Based on Machine Learning Method and Web Service for COVID-19 Policy Simulation

Taking the Chinese city of Xiamen as an example, simulation and quantitative analysis were performed on the transmissions of the Coronavirus Disease 2019(COVID-19) and the influence of intervention combinations to assist policymakers in the preparation of targeted response measures. A machine learning model was built to estimate the effectiveness of interventions and simulate transmission in different scenarios. The comparison was conducted between simulated and real cases in Xiamen. A web inter...     

Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy

1. Download : Download high-res image (173KB)
2. Download : Download full-size image

     

六味地黄汤干预抑郁大鼠学习记忆的作用机制

目的:探讨六味地黄汤对慢性抑郁大鼠记忆障碍的改善作用,并探讨其可能的作用机制。方法:Wistar雌性大鼠随机分为正常组(生理盐水)、慢性不可预见性温和应激(CUMS)模型组(生理盐水)、六味地黄汤低、中、高剂量组(2. 60,7. 81,23. 50 g·kg~(-1)·d~(-1))。除正常组外,其余各组造成CUMS模型。每周称体质量,观察其行为学指标变化;实时荧光定量聚合酶链式反应(Real-time PCR)检测其海马G蛋白偶联雌激素受体(GPR30),胞内磷脂酰肌醇激酶(PI3K),环磷酸腺苷反应元件结合蛋白(CREB),脑源性神经营养因子(BDNF) mRNA的表达;酶联免疫吸附测定(ELISA)检测血清中雌激素含量。结果:与正常组比较,模型组体质量、活动能力、兴趣等明显降低(P 0. 05,P 0. 01);与模型组比较,六味地黄汤2. 60,7. 81,23. 50 g·kg~(-1)可明显提高CUMS大鼠糖水偏好度(P 0. 01)和旷场实验的站立次数(P 0. 01);7. 81,23. 50 g·kg~(-1)明显提高旷场实验的总距离(P 0. 05,P 0. 01);2. 60,7. 81 g·kg~(-1)可缩短水迷宫实验寻台潜伏期(P 0. 01);7. 81 g·kg~(-1)可增加血清中雌激素含量(P 0. 05);CUMS模型组大鼠海马组织内的GPR30,PI3K,CREB,BDNF mRNA表达明显下降(P 0. 05,P 0. 01),六味地黄汤2. 60 g·kg~(-1)显著增加海马组织内的GPR30,CREB mRNA表达(P 0. 05,P 0. 01),7. 81 g·kg~(-1)明显增加海马组织内的GPR30,PI3K,CREB,BDNF mRNA表达量(P 0. 05,P 0. 01)。结论:六味地黄汤具有抗抑郁作用,逆转CUMS大鼠抑郁样行为及学习记忆障碍,其中中剂量组药效最显著。其作用机制可能与增加血清中雌激素和提高大鼠海马GPR30,PI3K,CREB,BDNF mRNA表达有关。     

鲜天麻对睡眠干扰诱导小鼠学习记忆障碍的改善作用

目的研究鲜天麻对睡眠干扰(sleep interruption,SI)诱导的小鼠学习记忆障碍的改善作用。方法 HPLC法测定鲜天麻中天麻素、对羟基苯甲醇的含量,苯酚硫酸法测定多糖的含量。60只ICR雄鼠随机分为对照组、睡眠干扰模型组、阳性药(莫达非尼)组和鲜天麻低(3 g/kg)、高(9 g/kg)剂量组。睡眠干扰造模14 d后,依次进行自主活动、新物体识别、水迷宫和避暗等动物行为学检测实验,并测定小鼠血清和海马组织超氧化物歧化酶(SOD)、丙二醛(MDA)水平及海马组织乙酰胆碱(Ach)、谷氨酸(Glu)和去甲肾上腺素(NE)水平。结果自主活动实验中,各组小鼠运动功能无显著性差异。与对照组比较,模型组小鼠在新物体识别实验中的相对辨别指数(DI)显著性下降,水迷宫寻台潜伏期明显延长,避暗实验错误次数增加、入暗潜伏期缩短;血清和海马组织MDA水平升高,海马组织的SOD水平降低;海马组织Ach、Glu和NE水平均显著降低。与模型组比较,莫达非尼和鲜天麻各剂量能不同程度增加小鼠新物体识别DI,提高新物体辨别能力;增强空间学习获得和保持能力,缩短水迷宫潜伏期;减少避暗错误次数、延长避暗潜伏期;提高血清和海马组织中SOD、Ach、Glu和NE水平,降低MDA水平。结论鲜天麻能改善睡眠干扰引起的学习记忆障碍,改善氧化应激和神经递质水平,是一种有潜力的改善学习记忆中药。     

Tumor mutational burden related classifier is predictive of response to PD-L1 blockade in locally advanced and metastatic urothelial carcinoma

BackgroundImmunotherapy has made encouraging progress in the treatment of urothelial carcinoma, but only a small percentage of patients respond effectively to the immune checkpoint blockade (ICB). Our study aims to develop a classifier could effectively predict the response to ICB.MethodsSupport vector machines recursive feature elimination (SVM-RFE) algorithm was used to feature selection, then compared nine common binary classification algorithms through machine learning, we selected the classifier with the highest prediction performance (LASSO logistics classifier). Ten-fold cross-validation was used to avoid the overfitting effect.ResultsWe developed a classifier on a urothelial carcinoma cohort treated with PD-L1 inhibitor Atzolizumab (IMvigor210 cohort, n = 272) and calculated a tumor mutational burden-related LASSO score (TLS) using the LASSO algorithm, which was significantly correlated with Tumor mutational burden (TMB) and neoantigen burden. We validated the efficacy of TLS in predicting prognosis and immunotherapy benefit in internal (IMvigor210) and external validation set (TCGA-BLCA, n = 406), respectively.ConclusionsAfter in-depth analysis, we provide a new idea for stratified treatment of such patients, that is, patients with high TLS should use ICB and also may benefit from hormone therapy, while patients with low TLS respond poorly to ICB and maybe benefit from targeting TGFβ.     

Learning theories and principles in surgical education and technical learning

What is important to think about in surgical education and technical skills training? Technical skills training is grounded in social cognitive theory and the concepts of modeling and self-efficacy. Cognitive and nontechnical learning is critical to supplement the overall proficiency of the surgical learner in performing an operation. Technical learning is cemented by deliberate practice and there is benefit to productive struggle and failure. External cognitive load should be minimized to maximized operative skills advancement.     

Prospective Analysis Using a Novel CNN Algorithm to Distinguish Atypical Ductal Hyperplasia From Ductal Carcinoma in Situ in Breast

IntroductionWe previously developed a convolutional neural networks (CNN)-based algorithm to distinguish atypical ductal hyperplasia (ADH) from ductal carcinoma in situ (DCIS) using a mammographic dataset. The purpose of this study is to further validate our CNN algorithm by prospectively analyzing an unseen new dataset to evaluate the diagnostic performance of our algorithm.Materials and MethodsIn this institutional review board-approved study, a new dataset composed of 280 unique mammographic images from 140 patients was used to test our CNN algorithm. All patients underwent stereotactic-guided biopsy of calcifications and underwent surgical excision with available final pathology. The ADH group consisted of 122 images from 61 patients with the highest pathology diagnosis of ADH. The DCIS group consisted of 158 images from 79 patients with the highest pathology diagnosis of DCIS. Two standard mammographic magnification views (craniocaudal and mediolateral/lateromedial) of the calcifications were used for analysis. Calcifications were segmented using an open source software platform 3D slicer and resized to fit a 128 × 128 pixel bounding box. Our previously developed CNN algorithm was used. Briefly, a 15 hidden layer topology was used. The network architecture contained 5 residual layers and dropout of 0.25 after each convolution. Diagnostic performance metrics were analyzed including sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve. The “positive class” was defined as the pure ADH group in this study and thus specificity represents minimizing the amount of falsely labeled pure ADH cases.ResultsArea under the receiver operating characteristic curve was 0.90 (95% confidence interval, ± 0.04). Diagnostic accuracy, sensitivity, and specificity was 80.7%, 63.9%, and 93.7%, respectively.ConclusionProspectively tested on new unseen data, our CNN algorithm distinguished pure ADH from DCIS using mammographic images with high specificity.