Objective To evaluate the diagnostic accuracy of Wilson score for predicating difficult intubation. Methods Such databases as PubMed, EMbase, CNKI, WanFang Data and VIP were searched to collect the studies about Wilson score for predicating difficult intubation published from inception to January 2013. Two reviewers independently screened the studies, extracted the data, and assessed the methodological quality by QUADAS. The analysis was conducted by using Meta-Disc 1.4 software, and the random effect model was chosen to calculate the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and the 95%CI. The summary receiver operating characteristic (SROC) curve was drawn and the area under the curve (AUC) was calculated in order to comprehensively assess the total diagnostic accuracy of Wilson score for predicating difficult intubation. Results A total of 9 studies involving 6 506 subjects were included. The results of meta-analysis showed that: the pooled sensitivity was 0.57 (95%CI 0.53 to 0.62), specificity was 0.89 (95%CI 0.88 to 0.90), positive likelihood ratio was 6.11 (95%CI 4.63 to 8.07), negative likelihood ratio was 0.52 (95%CI 0.41 to 0.66), diagnostic odds ratio was 12.76 (95%CI 8.60 to 18.93), and the AUC of SROC was 0.84. Conclusion Wilson score plays a role in predicating difficult intubation, while some other clinical indicators also need to be taken into consideration in its application.
From aortic declamping to weaning from cardiopulmonary bypass (CPB), myocardium needs recovery not only from surgical and ischemia/reperfusion injury, but also of its full performance of pumping function as quickly as possible. In the early period of resuming myocardial perfusion, coronary blood flow should be increased, but ventricular volume overload, large dosage of adrenaline and isoprenaline, and high-energy defibrillation should be avoided. Thenappropriate management according to cardiac function and ECG changes is needed for successful weaning from CPB.
The apical displacement of tricuspid valve leaflets complicated with significantly enlarged, thin and fibrotic wall of the right ventricle is prone to dysfunction of right heart. Therefore, the myocardial protection for the right ventricle is important. Based on the pathological changes, an algorithm of perioperative myocardial protection strategy is summarized. Firstly, we should clearly know that the right ventricular myocardium with severe lesions is much different from the unimpaired myocardium, because it is now on the margin of failure; secondly, right heart protection should be regarded as a systematic project, which runs through preoperative, intraoperative and postoperative periods, and requires close collaboration among surgeons, perfusionists, anesthesiologists and ICU physicians. In this article, we try to introduce the systematic project of the right heart protection, in order to improve the outcome of this population.
Objective To evaluate the associations of 16 variants in clopidogrel-relevant genes with early neurological deterioration (END) in acute ischemic stroke (AIS) patients receiving clopidogrel treatment. Methods AIS patients admitted to the Department of Neurology of three hospitals between June 2014 and January 2015 were included. The 16 variants in clopidogrel-relevant genes were examined using mass spectrometry. Gene-gene interactions were analyzed by generalized multifactor dimensionality reduction (GMDR) methods. The primary outcome was END within the 10 days of admission. Results A total of 375 patients with AIS were included. Among the 375 patients, 95 (25.33%) patients developed END within the first 10 days of admission. Among the 16 variants, only CYP2C19*2 rs4244285 AG+AA was associated with END using single-locus analytical approach (P<0.001). GMDR analysis revealed that there was a synergistic effect of gene-gene interactions among CYP2C19*2 rs4244285, P2Y12 rs16863323, and GPⅢa rs2317676 on risk for END (P=0.019). Cox regression analysis showed that the high-risk interactive genotype was independent predictor for END [hazard ratio=2.184, 95% confidence interval (1.472, 3.238), P=0.004]. Conclusions END is very common in patients with AIS. Interactions among CYP2C19*2 rs4244285, P2Y12 rs16863323, and GPⅢa rs2317676 may confer a higher risk for END. It may be very important to modify clopidogrel therapy for the patients carrying the high-risk interactive genotype.