Using modular identification methods in gene-drug multiplex networks to infer new gene-drug associations can identify new therapeutic target genes for known drugs. In this paper, based on the gene expression data and drug response data of lung cancer in the genomics of drug sensitivity in cancer (GDSC) database, a multiple network algorithm is proposed. First, a heterogeneous network of genes of lung cancer and drugs in different cell lines is constructed, and then a network module identification method based on graph entropy is used. In this heterogeneous network, network modules are identified, and five lung cancer gene-drug association modules are identified through iterative convergence. Compared with other methods, the algorithm has better results in terms of running time, accuracy and robustness, and the identified modules have obvious biological significance. The research results in this article have guiding significance for the medication and treatment of lung cancer, and can provide references for the treatment of other diseases with the same targeted genes.
Algorithms ; Gene Expression Profiling ; Genes, Neoplasm ; Humans ; Lung ; Lung Neoplasms/genetics* ; Pharmaceutical Preparations

The therapeutic efficacy of Danshen and Jiangxiang in the treatment of ischemic stroke (IS) is relatively significant. Studying the mechanism of action of Danshen and Jiangxiang in the treatment of IS can effectively identify candidate traditional Chinese medicines (TCM) with efficacy. However, it is challenging to analyze the effector substances and explain the mechanism of action of Danshen-Jiangxiang from a systematic perspective using traditional pharmacological approaches. In this study, a systematic study was conducted based on the drug-target-symptom-disease association network using complex network theory. On the basis of the association information about Danshen, Jiangxiang and IS, the protein-protein interaction (PPI) network and the "drug pair-pharmacodynamic ingredient-target-IS" network were constructed. The different topological features of the networks were analyzed to identify the core pharmacodynamic ingredients including formononetin in Jiangxiang, cryptotanshinone and tanshinone IIA in Danshen as well as core target proteins such as prostaglandin G/H synthase 2, retinoic acid receptor RXR-alpha, sodium channel protein type 5 subunit alpha, prostaglandin G/H synthase 1 and beta-2 adrenergic receptor. Further, a method for screening IS candidates based on TCM symptoms was proposed to identify key TCM symptoms and syndromes using the "drug pair-TCM symptom-syndrome-IS" network. The results showed that three TCMs, namely Puhuang, Sanleng and Zelan, might be potential therapeutic candidates for IS, which provided a theoretical reference for the development of drugs for the treatment of IS.
Ischemic Stroke ; Salvia miltiorrhiza ; Stroke/drug therapy* ; Cyclooxygenase 2 ; Prostaglandins

Objective    To systematically evaluate the risk factors for postoperative pulmonary infection in patients with esophageal cancer. Methods    CNKI, Wangfang Data, VIP, CBM, PubMed, EMbase, The Cochrane Library were searched from inception to January 2021 to collect case-control studies, cohort studies and cross-sectional studies about risk factors for postoperative pulmonary infection in patients with esophageal cancer. Two researchers independently conducted literature screening, data extraction and quality assessment. RevMan 5.3 software and Stata 15.0 software were used for meta-analysis. Results    A total of 20 articles were included, covering 5 409 patients of esophageal cancer. The quality score of included studies was 6-8 points. Meta-analysis results showed that age (MD=1.99, 95%CI 0.10 to 3.88, P=0.04), age≥60 years (OR=2.68, 95%CI 1.46 to 4.91, P=0.001), smoking history (OR=2.41, 95%CI 1.77 to 3.28, P<0.001), diabetes (OR=2.30, 95%CI 1.90 to 2.77, P<0.001), chronic obstructive pulmonary disease (OR=3.69, 95%CI 2.09 to 6.52, P<0.001), pulmonary disease (OR=2.22, 95%CI 1.16 to 4.26, P=0.02), thoracotomy (OR=1.77, 95%CI 1.32 to 2.37, P<0.001), operation time (MD=14.08, 95%CI 9.64 to 18.52, P<0.001), operation time>4 h (OR=3.09, 95%CI 1.46 to 6.55, P=0.003), single lung ventilation (OR=3.46, 95%CI 1.61 to 7.44, P=0.001), recurrent laryngeal nerve injury (OR=5.66, 95%CI 1.63 to 19.71, P=0.006), and no use of patient-controlled epidural analgesia (PCEA) (OR=2.81, 95%CI 1.71 to 4.61, P<0.001) were risk factors for postoperative pulmonary infection in patients with esophageal cancer. Conclusion    The existing evidence shows that age, age≥60 years, smoking history, diabetes, chronic obstructive pulmonary disease, pulmonary disease, thoracotomy, operation time, operation time>4 h, single lung ventilation, recurrent laryngeal nerve injury, and no use of PCEA are risk factors for postoperative pulmonary infection in patients with esophageal cancer. Due to the limitation of the quantity and quality of included literature, the conclusion of this study still needs to be confirmed by more high-quality studies.

Posterior-stabilized total knee prostheses have been widely used in orthopedic clinical treatment of knee osteoarthritis, but the patients and surgeons are still troubled by the complications, for example severe wear and fracture of the post, as well as prosthetic loosening. Understanding the in vivo biomechanics of knee prostheses will aid in the decrease of postoperative prosthetic revision and patient dissatisfaction. Therefore, six different designs of posterior-stabilized total knee prostheses were used to establish the musculoskeletal multibody dynamics models of total knee arthroplasty respectively, and the biomechanical differences of six posterior-stabilized total knee prostheses were investigated under three simulated physiological activities: walking, right turn and squatting. The results showed that the post contact forces of PFC Sigma and Scorpio NGR prostheses were larger during walking, turning right, and squatting, which may increase the risk of the fracture and wear as well as the early loosening. The post design of Gemini SL prosthesis was more conductive to the knee internal-external rotation and avoided the edge contact and wear. The lower conformity design in sagittal plane and the later post-cam engagement resulted in the larger anterior-posterior translation. This study provides a theoretical support for guiding surgeon selection, improving posterior-stabilized prosthetic design and reducing the prosthetic failure.
Arthroplasty, Replacement, Knee/methods* ; Biomechanical Phenomena ; Humans ; Knee Joint/surgery* ; Knee Prosthesis ; Prosthesis Design ; Range of Motion, Articular/physiology* ; Tibia/surgery*

The surgical installation accuracy of the components in unicompartmental knee arthroplasty (UKA) is an important factor affecting the joint function and the implant life. Taking the ratio of the medial-lateral position of the femoral component relative to the tibial insert (a/A) as a parameter, and considering nine installation conditions of the femoral component, this study established the musculoskeletal multibody dynamics models of UKA to simulate the patients' walking gait, and investigated the influences of the medial-lateral installation positions of the femoral component in UKA on the contact force, joint motion and ligament force of the knee joint. The results showed that, with the increase of a/A ratio, the medial contact force of the UKA implant was decreased and the lateral contact force of the cartilage was increased; the varus rotation, external rotation and posterior translation of the knee joint were increased; and the anterior cruciate ligament force, posterior cruciate ligament force and medial collateral ligament force were decreased. The medial-lateral installation positions of the femoral component in UKA had little effect on knee flexion-extension movement and lateral collateral ligament force. When the a/A ratio was less than or equalled to 0.375, the femoral component collided with the tibia. In order to prevent the overload on the medial implant and lateral cartilage, the excessive ligament force, and the collision between the femoral component and the tibia, it is suggested that the a/A ratio should be controlled within the range of 0.427-0.688 when the femoral component is installed in UKA. This study provides a reference for the accurate installation of the femoral component in UKA.
Humans ; Arthroplasty, Replacement, Knee ; Knee Joint/surgery* ; Knee Prosthesis ; Gait ; Rotation

Venous thromboembolism (VTE), comprising both deep vein thrombosis and pulmonary embolism, is a chronic illness that contributes significantly to the global burden of disease. The American College of Chest Physicians (ACCP) published the 9th edition of antithrombotic treatment guidelines for VTE (AT9) in 2012, which was first updated in 2016. In October 2021, ACCP published the 2nd update to AT9, which addressed 17 clinical questions related to VTE and presented 29 guidance statements in total. In this paper we interpreted the recommendations proposed in this update of the guidelines.

The method of using deep learning technology to realize automatic sleep staging needs a lot of data support, and its computational complexity is also high. In this paper, an automatic sleep staging method based on power spectral density (PSD) and random forest is proposed. Firstly, the PSDs of six characteristic waves (K complex wave, δ wave, θ wave, α wave, spindle wave, β wave) in electroencephalogram (EEG) signals were extracted as the classification features, and then five sleep states (W, N1, N2, N3, REM) were automatically classified by random forest classifier. The whole night sleep EEG data of healthy subjects in the Sleep-EDF database were used as experimental data. The effects of using different EEG signals (Fpz-Cz single channel, Pz-Oz single channel, Fpz-Cz + Pz-Oz dual channel), different classifiers (random forest, adaptive boost, gradient boost, Gaussian naïve Bayes, decision tree, K-nearest neighbor), and different training and test set divisions (2-fold cross-validation, 5-fold cross-validation, 10-fold cross-validation, single subject) on the classification effect were compared. The experimental results showed that the effect was the best when the input was Pz-Oz single-channel EEG signal and the random forest classifier was used, no matter how the training set and test set were transformed, the classification accuracy was above 90.79%. The overall classification accuracy, macro average F1 value, and Kappa coefficient could reach 91.94%, 73.2% and 0.845 respectively at the highest, which proved that this method was effective and not susceptible to data volume, and had good stability. Compared with the existing research, our method is more accurate and simpler, and is suitable for automation.
Humans ; Random Forest ; Bayes Theorem ; Sleep Stages ; Sleep ; Electroencephalography/methods*

Objective     To evaluate the security and clinical value of the combination of three-dimensional computed tomography-bronchography and angiography (3D-CTBA) and indocyanine green (ICG) staining in video-assisted thoracic surgery (VATS) segmentectomy. Methods     The clinical data of 125 patients who received VATS segmentectomy from January 2020 to January 2021 in our hospital were retrospectively analyzed. There were 40 (32.0%) males and 85 (68.0%) females with an average age of 54.8±11.1 years. Results     The procedure was almost identical to the preoperative simulation. All intersegment planes were displayed successfully by ICG reverse staining method. There was no allergic patient. A total of 130 pathological specimens were obtained from the 125 patients. The mean operation time was 126.8±41.9 min, the time of first appearance of fluorescence was 22.7±4.9 s, the mean mark time was 65.6±20.3 s, the median blood loss was 20.0 (10.0-400.0) mL, the postoperative hospital stay was 5.6 (4.0-28.0) d, and the postoperative retention of chest tube time was 3.2 (2.0-25.0) d. Pathological results showed that microinvasive adenocarcinoma was the most common type (38.5%, 50/130), followed by invasive adenocarcinoma (36.9%, 48/130); there were 3 metastatic tumors (3/130, 2.3%). Conclusion     The combination of 3D-CTBA and ICG reverse staining is proved to be a safe, necessary and feasible method. It solves the difficult work encountered in the procedure of segmentectomy, and it is worth popularizing and applying in clinic.

Objective    To analyze the safety and effectiveness of minimally invasive small incision through the right third intercostal and standard aortic valve replacement. Methods    The clinical data of 123 patients with the first simple aortic valve replacement in our hospital from June 2013 to May 2020 were retrospectively analyzed. The patients receiving aortic valve replacement through the right third intercostal small incision were allocated to a minimally invasive group, and patients receiving aortic valve replacement through the median sternal incision were allocated to a common group. The clinical outcomes of the two groups were compared. Results    There were 40 patients in the minimally invasive group, including 11 (27.5%) females and 29 (72.5%) males, aged 54.60±9.98 years with the body mass index (BMI) of 23.16±2.48 kg/m2. There were 83 patients in the common group, including 27 (32.5%) females, 56 (67.5%) males, aged 58.77±9.71 years, with the BMI of 24.13±3.13 kg/m2. Compared with the common group, the aortic cross-clamping time, cardiopulmonary bypass time, and operation time were longer (P<0.05), the ventilator support time was shorter (P<0.05), and the blood loss, postoperative 24 h chest drainage volume and total expense were less (P<0.05) in the minimally invasive group. The ICU stay, postoperative hospital stay, and total hospital stay were not statistically different between the two groups (P>0.05). Conclusion    The aortic valve replacement through the right third intercostal small incision is safe and effective, with less blood loss, 24 h chest drainage volume and invasiveness.  

Lung cancer is the malignancy with the highest incidence and mortality rate in China. In recent years, the popular use of low-dose computed tomography in the population has led to an increase in the detection rate of pulmonary nodules. The National Comprehensive Cancer Network (NCCN) updated and released the NCCN clinical practice guidelines in oncology for non-small cell lung cancer (version 2.2023) on February 17, 2023. This article will interpret the main updates of the new guideline and compare it with the domestic lung cancer treatment guidelines, providing new ideas for the diagnosis and treatment of lung cancer for Chinese clinicians.