Influencing factors of hemorrhagic transformation in non-thrombolysis patients with cerebral infarction.

OBJECTIVES: Hemorrhagic transformation (HT) is a serious complication of acute cerebral infarction. The aim of study is to investigate the influencing factors of HT in non-thrombolysis patients with acute cerebral infarction, and to explore its clinical significance. PATIENTS AND METHODS: From June 2016 to March 2017, a total of 346 non-thrombolysis patients with acute cerebral infarction hospitalized in the Department of Neurology of Guangdong Second Provincial General Hospital, were chosen and randomly devided into the non-HT group (control) and HT group. A record of 17 indices including the patients'age, gender, hypertension, diabetes, dyslipidemia, hyperhomocystinemia, atrial fibrillation, drinking or smoking, anticoagulation, antithrombosis, international normalized ratio (INR) and platelet count were measured. Then regression analysis was made to find the independent factors for HT. RESULTS: It was found that 38 of non-thrombolysis patients with acute cerebral infarction involved in this study were with HT. The indices including dyslipidemia, drinking, atrial fibrillation, antiplatelet aggregation, anticoagulation, INR > 1.7, cholesterin, triglyceride and platelet count showed statistical differences between the HT group and the non-HT group (P < 0.05). According to the binary logistic regression analysis, there was a negative correlation between dyslipidemia and HT (odds ratio (OR)=0.371, 95% confidence interval (CI) 0.186-0.740, P = 0.005), while there was a positive correlation between atrial fibrillation (OR=2.476, 95% CI 1.140-5.377, P=0.022), platelet count (OR=1.006, 95% CI 0.682-1.611, P = 0.007), INR>1.7 (OR=10.889, 95% CI 4.760-24.910, P = 0.000) and HT. CONCLUSION: There is independent correlation between dyslipidemia, atrial fibrillation, platelet count, INR > 1.7 and HT. Dyslipidemia is the protective factor for HT, and atrial fibrillation, platelet count, INR > 1.7 are the risk factors for HT.

Rapid detection of influenza A/H1N1 virus by polymerase spiral reaction / 军事医学

Objective To establish a polymerase spiral reaction (PSR) method for rapid detection of influenza A/H1N1 virus.Methods Six sets of primers were designed for influenza A/H1N1 virus HA gene, and the results were determined with real time kinetic turbidimetric assay and colorimetry method.Results and Conclusion The best primers were selected from six sets of primers, and the best temperature was determined as 65 degrees Celsius.Further experiments showed that the best primer had good specificity for detection of influenza A/H1N1 virus,without cross reactions with 14 other respiratory tract pathogenic nucleic acids.The sensitivity was up to 100 copies,and consistent with that of PCR.So a PSR method is established for rapid detection of the influenza A/H1N1 virus, which is simple, quick, highly specific and sensitive,and especially applicable to field and grass-roots units.

Development of multiplex loop-mediated isothermal amplification (mLAMP) for detection of Salmonella,Vibrio parahaemolyticus and Listeria monocytogenes / 军事医学

Objective To establish a multiplex loop-mediated isothermal amplification(mLAMP)method for simultaneous detection of Salmonella,Vibrio parahaemolyticus (VPH)and Listeria monocytogenes (LM).Methods Three sets of mLAMP primers were designed to specifically target bcfD of Salmonella and tlh of VPH and iap of LM.The respective single LAMP assay of the three kinds of bacteria was developed,and the ratio of primer concentration was optimized to develop a multiplex LAMP system.The specificity and sensitivity of multiplex LAMP were observed.Results Turbidity monitoring results in real time suggests that the mLAMP was highly specific and amplification could be obtained within 45 min under isothermal conditions.The sensitivity of this mLAMP was found to be 300 fg/μl genomic DNAs for Salmonella and 4.2 pg/μl for VPH and 4.5 pg/μl for LM,which was consistent with conventional PCR.Conclusion The mLAMP described can potentially facilitate simultaneous detection of three kinds of bacteria in a large number of food samples, which could be used as a primary screening method and as a supplement to classical detection methods.