ObjectiveTo establish a enzyme-linked immunosorbent assay (ELISA) method for detecting the β-amyloid peptide 42 ( Aβ42 ) and explore its clinical meaning for diagnosis and treatment in the early stages of the alzheimer disease ( AD).Methods Using the Aβ42 single chain variable fragment constructed by phage antibody library display system as coat antibody,associated with the Aβ42 polyclonal antibody acquired by Aβ42 immunized rabbit and HRP labeled goat anti rabbit IgG to establish ELISA method for detecting the Aβ42 in peripheral blood.The method was used it to test the Aβ42 in 120 vascular dementia VD) or cerebral vessel infarction patients and 120 AD patients and 120 controls.The methodology performance were evaluated.ResultsThe inter and intra coefficient of variable (CV) of this self-established ELISA method was 3.6％ and 3.5％,6.8％ and 7.1％ respectively.The recovery rate was 97.2％ -103.1％.The linear range was 0.050 - 2 μg,/L.Its reactivity decreased ＜ 12％ when it was put in both 37 ℃ for 6 days and 4 ℃ for 6 months.Compared with the Belgium INNOTEST reagent by testing 90 samples simultaneously,the results of self-established method was (0.207 ± 0.039 ) μg/L,the results of INNOTEST was (0.206± 0.038 ) μg/L; the regression equation was Y =1.011X - 0.003,R2 =0.979,P ＜0.01.The Aβ42 in blood of AD group was (0.247 ± 0.032 ) μg/L,VD or cerebral vessel infarction group was (0.173 ±0.028) μg/L,control group was (0.172 ±0.032) μg/L.The Aβ42 in AD group was higher than that in the VD or cerebral vessel infarction group and control group (q =18.867,18.907respectively,P ＜ 0.01 ).The cut off value was 0.212 μg/L decided by the receiver operating characteristic (ROC) curve.The reference interval was 0 -0.212 μg/L.The sensitivity of this ELISA method was 86.7％(104/120) and specificity was 90.8％ (218/240).ConclusionsThe ELISA method for detecting Aβ42 in peripheral blood established by the study is sensitive and specific and has good precision and stability.It could provide a new effective criterion and support for the early diagnosis and treatment of the AD patients.

Objective Evaluate the performance of the encephalon state index(ESI)in depth of anesthesia monitoring during clinical surgery,compared with the bispectral index(BIS).Methods ESI and BIS data were collected from 60 patients in a single-center clinical trial to compare their efficacy in measuring the depth of anesthesia.Results Consistency analysis revealed mean differences and standard deviations of-0.18±5.42 and-0.11±6.51 between ESI and BIS for awake and anesthetized states,respectively.Correlation analysis showed a correlation coefficient of 0.92 throughout the operative period.Prediction probability analysis indicated that both ESI and BIS had prediction probabilities of 0.97,effectively predicting anesthesia status.Conclusion ESI and BIS show good equivalence in monitoring depth of anesthesia during clinical surgery,which meet the requirements of clinical anesthesia.

OBJECTIVE: Reduce the number of false alarms and measurement time caused by movement interference by the sync waveform of the movement. METHODS: Vital signal monitoring system based on motion sensor was developed, which collected and processed the vital signals continuously, optimized the features and results of vital signals and transmitted the vital signal results and alarms to the interface. RESULTS: The system was tested in many departments, such as digestive department, cardiology department, internal medicine department, hepatobiliary surgery department and emergency department, and the total collection time was 1 940 h. The number of false electrocardiograph (ECG) alarms decreased by 82.8%, and the proportion of correct alarms increased by 28%. The average measurement time of non-invasive blood pressure (NIBP) decreased by 16.1 s. The total number of false respiratory rate measurement decreased by 71.9%. CONCLUSIONS False alarms and measurement failures can be avoided by the vital signal monitoring system based on accelerometer to reduce the alarm fatigue in clinic.
Humans ; Monitoring, Physiologic ; Electrocardiography ; Arrhythmias, Cardiac ; Blood Pressure ; Accelerometry ; Clinical Alarms