As one important member of the biological sample library , blood samples are rich in biological molecules, which can be used for disease diagnosis , prognosis of disease staging , and prognosis et al.compared with tissue samples, blood samples have some advantages , such as easier to access, sampling in a row and rich test items and so on.However, after blood samples were collected, which need to be processed, packed and frozen in ice for long-term preservation container.Otherwise RNA in the blood sample is unstable and easily degradation in normal temperature transportation and preservation condition , thus subsequently affecting the molecular diagnostic biomarkers ′detection, analysis, research and development.In this paper, This review summarizes the current clinical and research work of routine blood collection and preservation methods effecting on blood RNA degradation and solution for avoiding these degrading which can help testing changings of blood biomarker more accurately .

Objective To verify the effect of different centrifugal conditions on coagulation and ascertain the optimum centrifugal time for coagulation testing in the laboratory .Methods Navy General hospital check‐up and hospitalized patients were divided into three groups which were conventional group ,standard group and speed up the group respectively according the different centrifuga‐tion conditions .The platelet poor plasma (PPP) was harvested in the three different groups .The PT ,INR ,FIB and APT T were tested and the results were compared and analyzed .Samples with different platelets were centrifuged in normal condition or standard condition ,after that ,the residual platelet in plasma was detected .Results There was no significant difference of the PT ,INR ,FIB and APT T results among the routine group ,speed group and the standard group .The results of PPP was qualified 100% in samples which platelets were less than 500 × 109 /L with routine conditions and standards of centrifugal conditions .However ,the qualified result of PPP was dropped to 64% in those samples which platelets were higher than 500 × 109 /L with routine and standards of centrifugal conditions .Conclusion The conventional centrifugation conditions can meet clinical routine coagulation testing require‐ments ,the special types of coagulation assays or the samples which platelets count are more than 500 × 109 /L should centrifuge in accordance with the requirements of the CLSI centrifugal processing .

Objective To investigate the changes of drug resistance and class Ⅰ integron in clinically isolated Pseudomonas aeruginosa(PA) in our hospital form January 2013 to December 2015.Methods Clinically isolated PA strains were divided into the 3 time periods of 2013,2014 and 2015.Their resistance to 22 commonly used antibacterial drugs was investigated by adopting the VITEK-2;200 strains were randomly selected from the isolated strains during these 3 time periods.Class Ⅰ integron was detect by PCR.Results The detected PA in these 3 time periods had 366,437 and 520 strains respectively.The drug resistance of Pseudomonas aeruginosa to 22 commonly used antibacterial drugs was remarkably increased(P<0.05),especially in ICU.The detection rate of class Ⅰ integron positive bacteria was gradually increased year by year,moreover the drug resistance rate of class Ⅰ integron positive bacteria was significantly higher than that of class Ⅰ integron negative bacteria (P<0.01).Conclusion The drug resistance rate of PA in this hospital is higher.The proportions of multi-drug resistance and classⅠ integron are significantly increased.The hospital infection detection and drug-resistant bacterial monitoring should be strengthened to further standardize the use of antibacterial drugs.

Objective To explore the application of LIS management group in hospital software and hardware management.Methods The objective,responsibilities and management procedure of hospital LIS management group were introduced,and its effects were studied in hospital software and hardware management.Results Hospital LIS management group optimized LIS management procedure,decreased fault rate and shortened the time for fault handling.Conclusion LIS management group promotes hospital digitalization and clinical laboratory department management.

Objective To apply the six sigma(6σ) quality management method to quantitatively analyze the quality control data of the detection items from different groups and conduct the comparison for analyzing the evaluation performance and improving the laboratory quality .Methods The data of the internal quality control and the external quality assessment were collected from35 de‐tection items in the clinical chemistry laboratory group and the hematology laboratory group during 2013 ,the σ value of every item was calculated and the analytical performance of the detection item was analyzed .Results Among 23 clinical detection items in the biochemistry group ,there were 10 items of σ ≥ 6 ,6 items of 5 ≤ σ < 6 ,3 items of 4 ≤ σ < 5 ,3 items of 3 ≤ σ < 4 and 1 item of σ < 3 , the average σ was 5 .962 .Among 12 clinical detection items in the hematology group ,there were 8 items of σ ≥ 6 ,2 items of 5 ≤ σ <6 ,2 items of 4 ≤ σ < 5 ,the average σ value was 7 .38 .The detection items in which the analytic performance did not reach 6σ in the biochemistry group accounted for 37% of the total items ,which in the hematology group accounted for 11% ,the differences in theσ quality level of detection items between the biochemistry group and the hematology group had statistical significance(P< 0 .05) , the differences in the σ quality level of detection items between the matched reagent and the non‐matched reagent had statistical sig‐nificance (P< 0 .05) .Conclusion The 6σ quality management method can be used used in the quality evaluation of clinical detection items and can be widely used in the quality management of clinical laboratory .

Objective To investigate the distribution of pathogens in intensive care units (ICU ) and their drug resistance . Methods 668 strains of pathogens isolated from specimens from ICU were collected .VITEK 2 Compact automated microbial iden-tification and susceptibility analyzer was utilized to conduct the antimicrobial susceptibility tests .Kirby-Bauer disk diffusion suscep-tibility test(K-B) was employed to conduct the antimicrobial susceptibility test for Gram-negative bacteria cefoperazone/sulbactam . Results 668 strains of pathogens were derived from sputum [434 (65 .0% )] ,blood[83(12 .0% )] ,urine[88(13 .0% )] ,drainage [14(2 .0% )] ,secretions[14(2 .0% )] and other[35(5 .2% )] .Acinetobacter baumannii was the major detected pathogen in Gram-negative bacteria and the resistance rates were over 50% toward other drug excepting levofloxacin ,sulfamethoxazole and amikacin . Staphylococcus Staphylococcus was the major detected pathogen in Gram-positive bacteria and it showed good sensitivity toward ni-trofurantoin ,quinupristin/dalfopristin ,tigecycline and vancomycin .Candida albicans demonstrated the highest detection rate in fun-gi .Conclusion ICU pathogens have drug resistance in serious condition ,and pathogens and drug resistance monitoring should be strengthened .

Objective To explore the difference of four calculating methods used to determine the obesity. Methods Two thousand four hundred and forty six (2446) men and three hundred and seventy nine (379) women were measured height and body mass, Standard body mass, BMI, body fat ratio and obesity index(OI) were calculated with formula. According to the BMI≥ 25 kg/m2 , BMI ≥ 27 kg/m2 and BMI≥28 kg/m2, the obese adults were 1419,680 and 435 respectively;there were 649 adults that their body mass was over 20％standard body mass; there were 639 adults that their body fat ratio was over 25％(male)and 33％(female). Results For obesity determination, the adults who were 20％overweight and over standard body fat ratio were significantly different from those whose BMI were over 25 kg/m2 ( P＜0. 05 ) ;Those who were 20％overweight and over standard body fat ratio were not significantly different from those whose BMI were over 27 kg/m2 ( P＞0.05 ) ; Those who were 20％overweight and over standard body fat ratio were significantly different from those whose BMI were over 28 kg/m2 ( P＜0. 05 ). Conclusion Determining obesity with BMI≥27 kg/m2 is feasible and rational.

Objective To compare the clinical values of impedance method,optical method and microscopy when used to detect platelet abnormal results.Methods Platelet re-examinations by optical method and microscopy were carried out in case of low confidence degree in platelet test with impedance method by XE-2100 automatic hematology analyzer,and then the results by the three methods were compared.Results Most of the low-confidence-degree results by impedance method could be corrected by re-examination by optical method,and the remained had to turn to microscopy due to unsatisfied requirements of the instrument.Conclusion Optical method has to be involved to correct the platelet abnormal results by XE2100 automatic hematology analyzer,and microscopy should be applied in case optical method doesn't work.The three methods gains advantages and disadvantages of themselves,and can be supplementaries for one another.

Objective To understand the relationship between the positive rate of Epstain‐Barr virus (EBV) and human cyto‐megalovirus (HCMV) nucleic acid detection with the age in the patients with aplastic anemia ,acute lymphoblastic leukemia and my‐eloid leukemia .Methods The patients clinically diagnosed as aplastic anemia ,acute lymphoblastic leukemia ,and myeloid leukemia after bone marrow puncture in the Navy General Hospital from January 2012 to December 2013were collected as the research sub‐jects .the nucleic acid test kit from DAAN Gene Company was adopted for conducting the EBV and HCMV nucleic acid testing and analyzing the relationship between the positive rate of the EBV and HCMV infection with the patient′s age .Results There were different testing positive rate among 3 kinds of hematonosis .As a whole ,the positive rate of HCMV was lower than that of EBV (15 .8% vs .43 .7% ) .The EBV nucleic acid detection positive rate had statistically significant difference among different ages of pa‐tients with aplastic anemia and myeloid leukemia .(P< 0 .01) .Conclusion For children patients with aplastic anemia disease and myeloid leukemia ,more attention should be paid to monitoring of EBV and HCM V nucleic acid .

Objective To observe the influence of triglyceride(TG),hemoglobin(HGB),total bilirubin(TBIL)and rheumatoid factor(RF)on the results of two kinds of D-dimer detection reagent assay.Methods Five samples were prepared into series with 2,4,6,8 and 10 mmol/L triglyceride by adding fat emulsion.Five samples were prepared into series with 1,2,3,4 and 5 g/L of hemolysis degree by adding hemoglobin solution.Five samples were prepared into series with 20,40,60,80 and 100μmol/L total bilirubin by adding bilirubin standard preparation.Ten samples were prepared into rheumatoid factor levels be-tween 0~150 IU/L by adding rheumatoid factor standard solution.Simultaneously with D-dimer detection reagent and D-di-mer HS detection reagent for testing,each sample was measured two times and the results averaged.Results When TG≤2 mmol/L,the D-dimer reagents without interference,and TG≥4 mmol/L,the D-dimer reagents due to “SD baseline data out of range”couldn’t be detected.TG≤10 mmol/L,for D-dimer HS reagents was without interference.When HGB≥1 g/L, the D-dimer reagents due to“SD baseline data out of range”couldn’t be detected.HGB≤4 g/L,for D-dimer HS reagents was without interference.When hemoglobin levels was equal to 5 g/L,the D-dimer HS reagents test results false increased about 30.4%.With total bilirubin concentration increases,D-dimer and D-dimer HS reagents test results were false increase, showed amplitude by a power law,and the two reagents increased consistency.Preparation a series of pooled plasma of rheu-matoid factor levels in 0~150 IU/L,D-dimer test results reagent falsely elevated levels of rheumatoid factor with a linear correlation (Y=59.31X+50.43,R2=0.998).When RF≤150 IU/L,the D-dimer HS reagents was without interference. Conclusion Triglyceride,hemoglobin,total bilirubin and rheumatoid factor may interfere D-dimer testing process,icterus and severe hemolysis will interfere D-dimer HS testing process.D-dimer HS reagents against interfere exceed D-dimer rea-gents.When D-dimer test results does not match with clinicians determine,the influence ofinterfering substances should be considered.