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To investigate the risk factor associated with central nervous system infection, a rare and dire complication after spinal surgery.Univariate and multivariate logistic regression analyses were performed to screen for the independent risk factors. According to the different administration methods of antibiotics, patients were divided into intravenous and intrathecal groups. The differences in time needed for body temperature, white blood cells (WBC), and C-reactive protein (CRP) to return to normal and the time of antibiotic application were compared between the 2 groups. In addition, the differences in WBC, neutrophil ratio, CRP, procalcitonin in blood, and WBC in cerebrospinal fluid were compared before intrathecal injection, after the first one, and the last one. The incidence of complications in the 2 groups was observed.Dural tears, laminectomy, and operation time3 hours were identified as independent risk factors. The time needed for body temperature, WBC, and CRP to return to normal and the antibiotic application time were significantly different between the 2 groups (all P0.05). Before and after the first intrathecal injection and after the last intrathecal injection, the differences in WBCs, neutrophil ratios, CRP, procalcitonin in blood, and cerebrospinal fluid-WBC were statistically significant in overall and pairwise comparisons (P0.05). Complications occurred in 2 and 14 cases, respectively.The independent risk factors for central nervous system infection after spinal surgery were a dural tear, laminectomy, and operation time3 hours. Combined intravenous and intrathecal injections of antibiotics led to a better effect than intravenous injection alone; however, this approach was associated with more complications.

Coronavirus is one of the RNA viruses with the largest genome; It is a group of viruses known to infect humans very little until the end of the 20th century, generally causing infection in animals (bird, cat, pig, mouse, horse, bat). It is the causative agent of 15-30% of seasonal lower and upper respiratory tract infections, and may rarely cause gastrointestinal and nervous system infections. We have obtained results for the collagenase and elastase enzymes were at the micromolar level. We obtained IC

Background To explore the relationship between the status of epidermal growth factor receptor (EGFR) and overall survival (OS) in de novo lung adenocarcinoma. Methods We retrospectively analyzed 291 lung adenocarcinoma subjects with exact EGFR status. The cases were divided into a mutant-type group (124 patients) and wild-type group (167 patients) according to the status of EGFR. The general information, OS, and possible risk factors influencing the OS were also evaluated. Results The EGFR mutation rate was 42.6% (124/291 patients), and there were statistically significant differences in gender, smoking history, and OS (P0.05). The most common subtypes of EGFR mutations were exon 19 and exon 21. The median OS of the total population was 30.20 months [95% confidence interval (CI): 25.94–34.46 months] and the OS in the mutant-type group was better than in the wild-type group (P

A non-invasive, simple, and convenient method to evaluate the presence of epidermal growth factor receptor (We retrospectively reviewed 297 untreated primary lung adenocarcinoma patients with exactOf the 297 lung adenocarcinoma patients analyzed forThese indicators could be helpful for enhancing predictive accuracy of

Recurrence is still the main obstacle to the survival of laryngeal squamous cell carcinoma (LSCC) patients who have undergone a total laryngectomy. Previous models for recurrence prediction in patients with LSCC were based on pathological information, while the role of easily accessible inflammatory markers in the prognosis of LSCC patients has rarely been reported. This study sought to develop and validate a model to predict the risk of recurrence in LSCC patients who underwent total laryngectomy.A total of 204 LSCC patients who underwent a total laryngectomy were included in this retrospective cohort study. Demographics, pathology, and inflammatory markers of patients were collected. All the patients were randomly divided into a training set and a test set at a ratio of 4:1. Patients were followed up for 3 years after surgery or until death occurred during this period. The random-forest method was used to develop a predictive model. The performance of the model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve (AUC) with the 95% confidence interval (CI), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).Of the 204 LSCC patients, 56 (27.45%) patients had a recurrence. The random-forest prediction model was an all-factor model, and the most important predictors of the model were the albumin/globulin ratio (AGR), neutrophil/lymphocyte ratio (NLR), and platelet/lymphocyte ratio (PLR), with proportions of 0.121, 0.100, and 0.092, respectively. The AUCs of the model in predicting the recurrence of LSCC in the training set and the test set were 0.960 (95% CI, 0.931-0.989) and 0.721 (95% CI, 0.716-0.726), respectively. The sensitivity, specificity, accuracy, PPV, and NPV of the model in the test set were 0.750 (95% CI, 0.505-0.995), 0.690 (95% CI, 0.521-0.858), 0.707 (95% CI, 0.568-0.847), 0.500 (95% CI, 0.269-0.921), and 0.870 (95% CI, 0.732-1.000), respectively.A model to predict the risk of recurrence in LSCC patients who have undergone a total laryngectomy was established, and inflammatory markers AGR, NLR, and PLR play an important role in the predictive model.

Historical documents record a lot of precious information through ancient characters. However, some problems like unbalanced character samples and intra-class multi-modality inside the documents are critical factors that limit the performance of existing character recognition technologies. Therefore, we propose a two-stage font generation model, Blend-Font Net, which use some easy to get modern character datasets to augment ancient character dataset and solve these mentioned problems based on blend-font strategy. The model generates new samples by extracting and modifying the font information from the character image. A font generation model learns the mapping between different fonts in the first stage, and the slightly modified model learns how to generate samples that blend two different fonts in the second stage. Extra samples are generated for balancing historical documents dataset through the proposed model. Experiments show that our results have diverse visual effects and improve the accuracy of the text recognition network. Furthermore, the proposed method shows a broad application prospect in similar works as no font label required and multi-modality problem solved.

BACKGROUND No tumor biomarker (TM) is available for de novo metastatic lung adenocarcinoma. OBJECTIVE To examine the serum levels of carcinoembryonic antigen (CEA), cytokeratin-19 fragments (CYFRA21-1), neuron-specific enolase (NSE), carbohydrate antigen (CA) 19-9, CA125, tissue polypeptide antigen (TPA), tissue polypeptide specific antigen (TPS), and lactate dehydrogenase (LDH) to predict de novo metastatic lung adenocarcinoma. METHODS This was a retrospective study of geriatric (⩾ 60 years of age) patients with lung cancer diagnosed at Shanxi Cancer Hospital from 02/2012 to 12/2017. CEA, CYFRA21-1, CA199, NSE, CA125, TPA, and TPS were detected by ELISA and LDH was detected by LDH kit. Their predictive value was assessed using receiver operating characteristic (ROC) curves and multivariable logistic regression. RESULTS The positive rates of LDH and TMs were higher in the metastatic group (all P< 0.05). The best single TMs were CYFRA21-1 (70.5% sensitivity) and CA199 (92.0% specificity). When using any two, the best were CYFRA21-1+TPA (77.1% sensitivity) and CA199+TPA or NSE (both 84.1% specificity). High LDH and CA125 statuses were each independently associated with brain, bone, liver, and lung metastases (all P< 0.05). CONCLUSIONS Abnormal level of LDH and TMs, alone or in combination, had predictive value for metastasis in geriatric patients with lung adenocarcinoma; these indicators were also associated with the metastatic site.

Backgroud: Colitis Cystica Profunda(CCP) is a rare benign medical condition and its exact etiology is still unknown. The clinical symptoms could be atypical and even asymptomatic, and also associated with several diseases. Most CCP patients may be misdiagnosed due to its complexity, and can be recognized after long-term medical treatment or surgical resection, especially in the elder or patients with relevant family history. Case presentation: In this case, a 58-year-old man presented with change in bowel habits for 3 years. Gastroscopy and colonoscopy were performed, and the lesions in stomach were resected. Colonoscopy revealed most lesions were significantly smaller after the resection of stomach neoplasm. Notably, these lesions recurred 3 years later. Conclusion: This case is an important reference for primary physician and pathologist to make correct diagnosis through initial endoscopic and pathological examination.

To evaluate the efficacy and safety of TurboHawk plaque rotation system combined with drug-coated balloon in treating lower extremity arterial disease (LEAD) of diabetes patients, a total of 145 diabetic patients with LEAD from March 2015 to September 2016 were recruited in our study. Lower extremity arterial disease was diagnosed by ultrasound and CT angiography (CTA). According to the surgical method, 65 cases underwent TurboHawk plaque rotation combined with drug-coated balloon (group A), 80 cases underwent simple drug-coated balloon expansion (group B). The characteristics of lesion, function test, ankle-brachial index (ABI), and postoperative complications were analyzed. All the patients were followed up at 1, 3, 6, 12, and 24 months after operation. At baseline, there was no difference in all the characteristics between the 2 groups. The early postoperation minimum lumen diameter (MLD), lumen stenosis rate, and ABI in 2 groups both improved. As the follow-up time increased, patients in group A had significantly higher MLD and ABL value, as well as lower level of lumen stenosis rate, restenosis rate, late lumen loss, and target lesion revascularization (all P < .05). Accordingly, functional testing revealed the 6-minute walk distance, 6-minute claudication distance, resting ABI, and post-exercise ABI in group A were significantly higher than those in group B (all P < .05). Besides, major graft reintervention (4.62% vs 11.25%) and major adverse limb events (6.15% vs 12.5%) in group A occurred less frequently than group B (all P < .05). In conclusion, the long-term effect of the combined approach was better than only drug-coated balloon in LEAD in Chinese diabetes patients.

Polycyclic aromatic hydrocarbons (PAHs) are a class of the most common and widespread contaminants. The accumulation of PAHs has made a certain impact on the environment and is seriously threatening human health. Numerous general analytical methods suitable for PAHs were developed. With the development of economy, the environmental problems of PAHs in modern society are more extensive and prominent, and attract more attention from environmental scientists and analysts. Deeper understanding of the properties of PAHs depends on the advent of detection methods, which can also be more conducive to promoting the protection of the environment. Till now, more sensitive, more high-speed and more high-throughput analytical tools are being invented and have played important roles in the research of PAHs. In this short review article, we focused mainly on the contemporary analytical methods about PAHs. We started with a brief review on the hazards, migration, distribution and traditional analysis methods of PAHs in recent years, including liquid chromatography, gas chromatography, surface enhanced Raman spectroscopy and so on. We also presented the applications of the modern ambient mass spectrometry, especially microwave plasma torch mass spectrometry, in the detection of PAHs, as well as the far out novel results in our lab by using microwave plasma torch (MPT) mass spectrometry; for example, some new insights about Birch reduction, regular hydrogen addition and the robustness of molecular structure. These studies have demonstrated the versatility of MPT MS as a platform in the research of PAHs.

Rationale Persistent hypoglossal artery (PHA) is the second rare abnormal anastomosis of the internal carotid and vertebrobasilar arteries, and bilateral persistent hypoglossal arteries in particular have rarely been reported. This is the first case of bilateral persistent hypoglossal arteries presenting with posterior fossa transient ischemic attack (TIA). Patient concerns We reported a 54-year old female with posterior fossa TIA due to the coexisting bilateral persistent hypoglossal arteries and left internal carotid artery stenosis. Diagnosis The patient was diagnosed with posterior fossa TIA, bilateral persistent hypoglossal arteries and left internal carotid artery stenosis. Interventions The patient was given aspirin 100 mg/qd and advised to avoid excessive neck movement. Outcomes Symptoms of intermittent subjective dizziness accompanied by nausea were relieved. Lessons Although requires no special treatment, PHA could be accompanied by hypoplasia of vertebral arteries and posterior communicating arteries and becomes the main blood supply pathway for the posterior circulation. Accurate identification and evaluation of PHA is important of ensuring the safety of carotid interventions and identifying specific types of stroke.

Background Treatments are limited for patients with relapsed/refractory Diffuse large B-cell lymphoma (DLBCL), and their survival rate is low. Prediction of the recurrence hazard for each patient could provide a reference regarding chemotherapy regimens for clinicians to extend patients' period of long-term remission. As current strategies cannot satisfy such need, we have established predictive models to classify patients with DLBCL with complete remission who had recurrences in 2 years from ones who did not. Methods We assessed 518 patients with DLBCL and measured 52 variables of each patient. They were treated between January 2011 and July 2016. 17 variables were first selected by variable selection methods (including Lasso, Adaptive Lasso, and Elastic net). Then, we set classifiers and probability models for imbalanced data by combining the SMOTE sampling, cost-sensitive, and ensemble learning (consisting of AdaBoost, voting strategy, and Stacking) methods with the machine learning methods (Support Vector Machine, BackPropagation Artificial Neural Network, Random Forest), respectively. Last, assessed their performance. Results The disease stage and other 5 variables are significant indicators for recurrence. The SVM with AdaBoost ensemble learning method modeling by SMOTE data performs the best (Sensitivity=97.3%, AUC=96%, RMSE=19.6%, G-mean=96%) in all classifiers. The SVM with AdaBoost method(AUC=98.7%, RMSE=17.7%, MXE=12.7%, Cal mean=3.2%, BS0=2.5%, BS1=4%, BSALL=3.1%) and random forest (AUC=99.5%, RMSE=19.8%, MXE=16.2%, Cal mean=9.1%, BS0=4.8%, BS1=2.9%, BSALL=3.9%) both modeling by SMOTE sampling data perform well in probability models. Conclusions This predictive model has high accuracy for almost all DLBCL patients and the six indicators can be recurrence signals.

Objectives Severe symptomatic intracranial stenosis is an important cause of stroke. Intracranial stenting is alternatively applied to treat intracranial atherosclerotic disease. However, Stenting versus Aggressive Medical Therapy for Intracranial Arterial Stenosis trial (SAMMPRIS) and Vitesse Stent Ischemic Therapy trial (VISSIT) both demonstrated intracranial stenting were inferior to aggressive medical treatment. But careful patient selection probably can improve the outcome of stenting in intracranial artery stenosis. Therefore, the validation of risk factors associated with serious adverse events (SAEs) after intracranial stenting may contribute to identify patients who are at high risk of stenting therapy and benefit patient selection for stenting. Patients and methods Patients who underwent intracranial stenting with symptom attributable to severe (>70%) intracranial stenosis were included in our institution. In-hospital SAEs after procedure were reviewed. Risk factors associated with SAEs were analyzed using multivariable logistic regression analysis. Result Thirty serious adverse events (5.1%) occurred among a total of 583 patients, with a mean age of 58.1 ± 9.7, including 13 ischemic strokes, 12 brain hemorrhages and 5 deaths. Bivariate analysis and multivariable logistic regression analysis showed age (OR = 0.94, 95% CI:0.900–0.983), history of DM (OR = 2.439, 95% CI:1.107–5.371), preprocedural mRS score (OR = 3.076, 95% CI:1.290–7.336) and lesion site in BA (OR = 9.056, 95% CI:1.147–71.524) were risk factors associated with SAEs. Conclusion History of DM and lesion site in BA were risk factors associated with postprocedural in-hospital SAEs after stenting of severe symptomatic intracranial stenosis. But considering of the limitation of this retrospective study, further studies are necessary to confirm our results.

Epigenetic silencing of tumor-suppressor genes by promoter hypermethylation contributes considerably to the initiation and progression of cancer. Nucleoside analogs, the most widely used DNA methylation inhibitors, have the drawbacks of inducing repetitive sequence hypomethylation. Here, we aimed to specifically reverse tumor-suppressor gene (TSG) promoter hypermethylation with bovine oocyte extract. H460 human lung cancer cells were reversibly permeabilized and incubated with bovine oocyte extract for 3.5 h. The extract treatment led to significant demethylation of the hypermethylated promoters of the TSGs RUNX3, CDH1, RASSF1A and WIF1; however, the methylation levels of repetitive sequences were not affected. The promoter demethylation induced by bovine oocyte extract substantially upregulated the expression of RUNX3, CDH1, RASSF1A and WIF1, and significantly inhibited the anchorage-independent proliferation, migration and invasion of H460 cells. This study demonstrates that bovine oocyte extract can reverse the malignant phenotype by serving as an efficient and safe DNA demethylator. The active demethylation activity of bovine oocyte extract is valuable for dissecting the epigenetic alterations in cancer cells and developing novel safe anticancer drugs based on epigenetic mechanisms.