Objective To explore the diagnostic value of a disintegrin-like and metalloproteinase with thrombospondin type 1 motifs (ADAMTS)-9 in acute aortic dissection (AAD). Methods A total of 328 patients with acute onset of chest pain within 24 hours were enrolled in West China Hospital from January 2015 to June 2016 and according to the results of computed tomography angiography they were divided into an AAD group (n=172, 107 males, 65 females, mean age of 50.4±13.1 years) and a control group (n=156, 89 males, 67 females, mean age of 54.9±14.7 years). The enzyme-linked immunosorbent assay (ELISA) test was used to measure the level of ADAMTS-9. Results Patients in two groups had no significant difference in age, gender, smoke history, hypertension history, total cholesterol, triacylglyceride and hemoglobin (P>0.05). But systolic and diastolic blood pressures were significantly higher in the AAD group than those in the control group (P<0.05, respectively). The level of ADAMTS-9 was significantly higher in the AAD group than that in the control group (249.4±186.8 ng/mlvs. 78.2±48.6 ng/ml,t=11.107, P<0.001). Receiver operating characteristic curve analysis showed that ADAMTS-9 (156.7 ng/ml) was predictive in the diagnosis of AAD with sensitivity of 0.942 and specificity of 0.628. Conclusion ADAMTS-9 might be an effective and important biomarker in diagnosis of AAD.
In order to realize brain-computer interface (BCI), optimal features of single trail motor imagery electroencephalogram (EEG) were extracted and classified. Mu rhythm of EEG was obtained by preprocessing, and the features were optimized by spatial filtering, which are estimated from a set of data by method of common spatial pattern. Classification decision can be made by Fisher criterion, and classification performance can be evaluated by cross validation and receiver operating characteristic (ROC) curve. Optimal feature dimension determination projected by spatial filter was discussed deeply in cross-validation way. The experimental results show that the high discriminate accuracy can be guaranteed, meanwhile the program running speed is improved. Motor imagery intention classification based on optimized EEG feature provides difference of states and simplifies the recognition processing, which offers a new method for the research of intention recognition.
ObjectiveTo investigate the association of preoperative serum uric acid (UA) levels with postoperative prolonged mechanical ventilation (PMV) in patients undergoing mechanical heart valve replacement.MethodsClinical data of 311 patients undergoing mechanical heart valve replacement in The First Affiliated Hospital of Anhui Medical University from January 2017 to December 2017 were retrospectively analyzed. There were 164 males at age of 55.6±11.4 years and 147 females at age of 54.2±9.8 years. The patients were divided into a PMV group (>48 h) and a control group according to whether the duration of PMV was longer than 48 hours. Spearman's rank correlation coefficient and logistic regression analysis were conducted to evaluate the relationship between preoperative UA and postoperative PMV. The predictive value of UA for PMV was undertaken using the receiver operating characteristic (ROC) curve..ResultsAmong 311 patients, 38 (12.2%) developed postoperative PMV. Preoperative serum UA level mean values were 6.11±1.94 mg/dl, while the mean UA concentration in the PMV group was significantly higher than that in the control group (7.48±2.24 mg/dl vs. 5.92±1.82 mg/dl, P<0.001). Rank correlation analysis showed that UA was positively correlated with postoperative PMV (rs=0.205, P<0.001). Multivariate logistic regression analysis demonstrated that preoperative elevated UA was associated independently with postoperative PMV with odds ratio (OR)=1.44 and confidence interval (CI) 1.15–1.81 (P=0.002). The area under the ROC curve of UA predicting PMV was 0.72, 95% CI0.635–0.806, 6.40 mg/dl was the optimal cut-off value, and the sensitivity and specificity was 76.3% and 63.0% at this time, respectively.ConclusionPreoperative elevated serum UA is an independent risk factor for postoperative PMV in patients undergoing mechanical heart valve replacement and has a good predictive value.
Objective To screen the key genes in childhood therapy-resistant asthma by bioinformatic method, and to verify its expression and diagnostic value in peripheral blood of children with therapy-resistant asthma. Methods The transcriptome dataset GSE27011 of peripheral blood mononuclear cells from healthy children (healthy control group), mild asthma (MA) children (MA group) and severe asthma (SA) children (SA group) was downloaded from the Gene Expression Omnibus of the National Center for Biotechnology Information of the United States. Key genes were obtained by using R software for gene differential expression analysis, weighted gene co-expression network analysis (WGCNA) and clinical phenotypic correlation analysis. The differential expression levels of key genes were verified in children with asthma and immune cell transcriptome datasets. Seventy-eight children with asthma and 30 healthy children who were diagnosed in the Department of Pediatrics of Tangshan People’s Hospital between September 2020 and September 2021 were selected and divided into control group, MA group and SA group. Peripheral blood samples from children with asthma and healthy children who underwent physical examination were collected to detect the expression levels of key genes and inflammatory factors interleukin (IL)-4 and IL-17 in peripheral blood of children. Receiver operating characteristic curve was used to evaluate the sensitivity, specificity and accuracy of key genes in predicting childhood therapy-resistant asthma. Results The key gene GNA15 was obtained by bioinformatic analysis. Analysis of asthma validation dataset showed that GNA15 was up-regulated in asthma groups, and was specifically expressed in eosinophils. Clinical results showed that the expression levels of IL-4, IL-17 and GNA15 among the three groups were significantly different (P<0.05). The expression levels of IL-4 and IL-17 in the MA group and the SA group were higher than those in the control group (P<0.05). Compared with the control group and the MA group, the expression level of GNA15 in the SA group was up-regulated (P<0.05). Neither the difference in the expression level of IL-4 or IL-17 between the MA group and the SA group, nor the difference in the expression level of GNA15 between the control group and the MA group was statistically significant (P>0.05). The specificity, sensitivity and accuracy of GNA15 in predicting SA were 92.90%, 80.00% and 86.10%, respectively. Conclusion GNA15 has a significant clinical value in predicting the childhood therapy-resistant asthma, and may become a potential diagnostic marker for predicting the severity of asthma in children.
ObjectiveTo compare the predictive value of six thrombotic risk assessment scales, including Autar, Wells, Padua, Caprini, Khorana, and COMPASS-CAT, for the deep venous thrombosis (DVT) of lower extremity in patients with gastrointestinal tumors. MethodsThe patients with gastrointestinal tumors who received surgical treatment in the General Surgery Department of Lanzhou University Second Hospital from March 2023 to October 2023 were collected. The risk of DVT on day 3 after surgery for the patient with gastrointestinal tumors was prospectively evaluated using the Autar, Wells, Padua, Caprini, Khorana, and COMPASS-CAT assessment scales. And the DVT was detected by ultrasound examination. The pionts of six thrombotic risk assessment scales were compared between the patient with DVT and without DVT based on the ultrasound examination results. The predictive value of the six thrombotic risk assessment scales for the lower extremity DVT in the patients with gastrointestinal tumors was evaluated by the area under receiver operating characteristic curve (AUC). ResultsA total of 108 patients who met the criteria, including 71 males and 37 females, were enrolled, age ranged from 18 to 85 years old, (58.3±11.2) years old. Fourty-two cases (38.9%) of DVT occurred. The age of patients with DVT was older than that of patients without DVT (P<0.05), but there were no statistical differences in the gender, body mass index, tumor location, comorbidities, and so on (P>0.05). The points of Autar, Padua, and Caprini in the patients with DVT were higher than those in the patients without DVT (P<0.05), while there were no statistical differences in the points of Wells, Khorana, and COMPASS-CAT between the two (P>0.05). The AUC for differentiating the occurrence of DVT in the patients with gastrointestinal tumors using the Autar, Wells, Padua, Caprini, Khorana, and COMPASS-CAT assessment scales were 0.907, 0.548, 0.636, 0.627, 0.589, and 0.535, respectively; The sensitivities were 97.6%, 14.3%, 52.4%, 83.3%, 47.6%, and 21.4%; The specificities were 2.4%, 85.7%, 47.6%, 16.7%, 52.4%, and 78.6%, respectively. ConclusionAccording to the abilities of Autar, Wells, Padua, Caprini, Khorana, and COMPASS-CAT to distinguish the occurrence of DVT in patients with gastrointestinal tumors after surgery, only the Autar evaluation scale is found to be more effective, while the other five evaluation scales are generally able to distinguish the occurrence of DVT.