Objective To compare the serum anti-survivin antibody levels between benign and malignant lung tumor,thus to provide evidence for using anti-survivin antibody as an indicator in non-small cell lung cancer.Methods ELISA was used to measure the level of anti-survivin antibody in healthy population(control group,n=60),benign lung tumor patients(benign lung tumor group,n=60) and non-small cell lung cancer patients(non-small cell lung cancer group,n=60). Results The anti-surviving antibody did not express 11.7%(7/60) in the control group and almost no expression 20.0%(12/60) in the benign lung tumor group,with no significant difference between the two groups(P＞0.05).In the non-small cell lung cancer group,the anti-survivin antibody expressed in 41 patients,which was significantly higher than those in the benign lung tumor group(x2=38.352,P＜0.01).Conclusion Anti-survivin antibody does not express in the healthy population and the benign lung tumor patients,whereas shows high expression in non-small cell lung cancer.This finding indicates that anti-survivin antibody can provide important evidence for non-small cell lung cancer diagnosis,and can be used as an indicator for non-small lung cancer screening.

In clinical medicine, patient drainage monitoring and early warning have received extensive attention from the clinical medical community since they reflect the real-time status of patients. Firstly, this study points out the shortcomings of current medical drainage technology combined with actual clinical applications and proposes a detailed analysis of the current medical drainage monitoring technology and medical drainage equipment. Secondly, this study focuses on cloud medical, intelligent medical and other digital intelligent medical development. Combined with advanced artificial intelligence technology and cloud data processing technology, this study is proposed to realize the clinical promotion, and popularization of medical drainage technology and promote the medical industry's attention to the realization of comprehensive and intelligent drainage monitoring.
Artificial Intelligence ; Cloud Computing ; Drainage ; Humans ; Technology

Objective To evaluate the association between retinol-binding protein 4 (RBP4) and coronary artery disease (CAD) in Chinese.Methods A document retrieval was conducted by using retrieval systems,such as PubMed,Web of Science,Cochrane Library,Chinese National Knowledge Infrastructure (CNKI),CBM,VIP and WanFang Database,to collect the published papers of case-control studies on association between RBP4 and CAD in Chinese up to February,2015.Data collection and quality assessment were completed by two authors respectively.All the analyses were conducted with software RevMan 5.2.Results A total of 10 qualified studies were included in our meta-analysis.The pooled analysis showed that RBP4 might be associated with CAD in Chinese [WMD=7.17 (95％CI:3.56-10.78) μg/ml,P＜0.05].Clinical subtype specific subgroup analysis showed RBP4 might be also associated with both stable angina pectoris [WMD=4.81 (95％ CI:1.25-8.37) μg/ml,P＜0.05] and acute myocardial infarction [WMD=13.96(95％CI:6.12-21.80) μg/ml,P＜0.05].Age specific subgroup analysis showed the significant association between RBP4 and CAD was only found in patients aged ≤65 years [WMD=7.26(95％CI:2.73-11.79)μg/ml,P＜0.05].Sensitivity and publication bias analyses indicated that our results were stable and reliable.Conclusion The meta-analysis suggests that RBP4 might be associated with CAD in Chinese.