ABSTRACT
Objective To investigate the distribution of pathogens and positive alarming time of blood culture,and provide basis for laboratory diagnosis and clinical treatment. Methods Blood specimens from clinical departments in a hospital in May-November 2015 were collected,positive alarming time of blood culture was recorded,species of pathogens were identified. Results A total of 157 pathogenic strains were isolated from blood culture specimens, gram-positive cocci,gram-negative bacilli,and fungi accounted for 31 .85% ,57.32% ,and 10.83% respectively. The median positive alarming time were as follows:Enterobacteriaceae 0.50 day,non-fermenting bacteria 0.63 day, Enterococcusspp. 0.60 day,Streptococcusspp. 0.80 day,Staphylococcusspp. 1.01 days,and fungi 1.44 days, respectively. Conclusion Positive alarming time of blood culture specimens from early to late are as follows:Enter-obacteriaceae,Enterococcus,non-fermentative bacteria,Streptococcus spp.,Staphylococcus spp.,and fungus. Positive alarming time of pathogens causing bloodstream infection are all within 4 days,and most of them are within 1 day.
ABSTRACT
Objective This study aimed to estimate the impact of the threshold of Autocapture algorithm on the pacemaker's service life.Methods Seventy-four patients implanted with VVI pacemaker were retrospectively evaluated.Among them,48 were implanted with pacemaker of autocapture function.Diagnostic data were retrieved from device memory.Pacemaker's service life was estimated according to the working flow and voltage.Results (1) The average working voltage of the control group and the observation group was (2.8 ± 0.4) V and (1.1 ± 0.4)V respectively.The difference was statistically significant;(2) The battery life in the observation group was (12.59 ± 0.55) a,significantly longer than that in the control group (6.74 ± 1.12) a,with an 86.8％ increase of the device's estimated service life (P＜0.05).Conclusion The Autocapture function results in a significant service life of cardiac pacemaker and represents valuable clinical technology.
ABSTRACT
Objective To explore the correlation between glycosylated hemoglobin(HbA1c) level and hemoglobin(Hb),fasting blood glucose (FBG),two-hour postmeal blood glucose (PBG2h) levels in type 2 diabetic patients on plateau.To evaluate influencing factors of HbA1c and effects of Hb level on HbA1c and blood glucose levels.Methods A total of 101 type 2 diabetic patients with no change antidiabetic treatment above 3 months and living in Lijiang city(at altitude 2420 m) above 5 years were investigated.The mean value of FBG,PBG2h,HbA1c and Hb were determined.The correlation between HbA1c and Hb,FBG,PBG2h were studied by scatter diagram,Pearson correlation analysis and the regression analysis.HbA1c,FBG,PBG2h levels were compared between high hemoglobin group and normal hemoglobin group.Results The HbA1c level was positively correlated with the FBG (r =0.82,P ＜ 0.001) and the PBG2h (r =0.29,P =0.003) levels.The regression equation between HbA1c and FBG,PBG2h was Y =2.674 + 0.52X1 + 0.018X2.There was no correlation in HbA1c and Hb level(r =-0.06,P =0.551).There was no difference on HbA1c,FBG,PBG2h levels between high hemoglobin group and normal hemoglobin group (P ＞ 0.05).Conclusion The major influencing factors of HbAlc are FBG and PBG2h.The hemoglobin level has no obvious effects on HbA1c and blood glucose levels.