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Objective: To explore the application value on combined examination of blood levels of growth differentiation factor-15 (GDF-15) and NT-pro B-type natriuretic peptide (NT-proBNP) in patients after successful cardiopulmonary resuscitation (CPR) for their recent prognosis. Methods: A total of 102 patients with sudden cardiac arrest and successful CPR in our hospital were enrolled. Blood levels of GDF-15 were examined at immediately, 12 h and 24-48 h after CPR respectively. According to GDF-15 levels, the patients were divided into 3 groups: Group A, the patients with GDF-151200 ng/L at all-time points,n=35; Group C, GDF-15 level consistently increasing at 12 h and 24-48 h after CPR, while it was lower at 24-48 h than 12 h after CPR,n=36. Blood levels of NT-proBNP and left ventricular ejection fraction (LVEF) were also examined. The patients were followed-up for 6 months for post-CPR death. Results: Blood levels of GDF-15 and NT-proBNP were related, NT-proBNP level was changing with GDF-15 varying. GDF-15 and NT-proBNP level was negatively related to LVEF (r=-0.530,P1800 ng/L and NT-proBNP>400 pg/ml had the higher mortality than those had the lower levels of GDF-15 and NT-proBNP,P0.05. Conclusion: Combined examination for blood levels of GDF-15 and NT-proBNP may better predict the recent prognosis in patients who received CPR.
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Objective To study the application of multi‐tumor marker protein chip for early tumor screening and diagnosis . Methods From Nov .2011 to Dec .2015 ,10 736 samples ,including people receiving physical examination and with high risk of canc‐er in Fengcheng Hospital were collected .Twelve tumor markers in serum(AFP ,CEA ,NSE ,CA125 ,CA153 ,CA242 ,CA199 ,PSA ,f‐PSA ,FER ,β‐HCG and HGH)were measured by multi‐tumor markers protein chip detective system ,and the results were analyzed . Results We found out 967 samples with positive markers in the 10 736 samples .Of which ,496 were male and 471 were female ,the positive rate were 4 .62% and 4 .39% respectively .Totally 473 were diagnosed with tumor confirming by clinical pathology ,postive diagnosis rate was 48 .91% .Conclusion The multi‐tumor marker protein chip (C12 system) can detect multiple tumor markers simultaneously to improve screening process and achieve rapid detection ,w hich has higher positive detectiong rate and clinical value on diagnosing malignant tumor in early stage .
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Objectives To study the performance of different microbial automated inoculation systems and to evaluate the performance of the Probact microbial automated inoculation and incubation system ( Probact system) and its applications in clinical microbiology laboratory.Methods A total of 160 clinical specimens, including respiratory secretions ( n=61 ) , urine ( n=49 ) , and feces ( n=50 ) , that were submitted to the Clinical Microbiology Laboratory in Peking Union Medical College Hospital of Chinese Academy of Medical Sciences from February 2015 to April 2015 were evaluated.These specimens were processed with conventional manual method, the Probact automated inoculation system, and PREVI Isola Inoculator.The quantity of bacterial species recovery, number of effectively isolated colonies, total number of colonies recovery per plate, and time of processing the 160 specimens by the three methods were evaluated. Wilcoxon signed-rank test and Kruskal-Wallis rank sum test were used for statistical analysis.Results The Probact system had significantly higher quantity of bacterial species recovery (respiratory specimens 3.41 ±1.40, urine 1.92 ±0.86, and feces 1.16 ±0.79) than those by the Isola Inoculator (respiratory specimens 3.75 ±1.29, urine 2.24 ±0.97, and feces 1.92 ±0.72), (P=0.006, 0.011, <0.001).Compared to the manual method, Probact performed less quantity of bacterial species recovery for respiratory specimens(3.85 ±1.38), but higher in feces(0.80 ±0.81)( P<0.001).There is no significant differences for urine ( 1.84 ±1.23 ) ( P=0.266 ) .As for number of isolated colony, the Probact system ( respiratory specimens 12.16 ±7.72, urine 2.71 ±4.24, and feces 5.40 ±5.04 ) had significant smaller numbers than that of Isola Inoculator (respiratory specimens 16.56 ±5.76, urine 4.35 ± 4.89, and feces 8.40 ±3.70) (P<0.001,0.007,0.003).However, both system had larger numbers of isolated colonies than those by the manual method (respiratory specimens 11.30 ±8.42, urine 2.67 ±4.34, and feces 1.90 ±3.90) and the difference was significant for fecal specimens(P<0.001).Regarding the total number of colonies recovery, larger number was found by Isola Inoculator than that by the Probact system for fecal specimens, however, there were no significant differences for respiratory or urine specimens (P=0.524,0.738).Compared with manual method, the Probact system had significantly more numbers of colonies recovery for respiratory and fecal specimens ( P<0.001 ) . The total time for processing 160 specimens was shortest for manual method (281 min), followed by Probact system (419 min) and Isola Inoculator (495 min) .Conclusions The performance of the Probact system is better than the manual method but no superior to the Isola Inoculator.The Probact system can meet the clinical need in terms of full automation and standardization of specimen inoculation and prevention of bias of processing by laboratory staffs using manual method.