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Objective@#To investigate the diagnostic value of serum complement level and lipid metabolism level detection in senile osteoporosis.@*Methods@#A total of 215 elderly people who underwent physical examination and bone mineral density test in Beijing Jishuitan Hospital from January 2016 to June 2016 were divided into osteoporotic group(74) and non-osteoporotic group (141) according to bone mineral density classification. The relationship between serum complement C3, complement C4, low density lipoprotein cholesterol (LDL), high density lipoprotein cholesterol (HDL), triglyceride (TG), total cholesterol (CHO) and bone mineral density were analyzed. The data were analyzed by t-test, non-parametric test, binary Logistic regression and the receiver operating characteristic (ROC) curve.@*Results@#The age and CHO,LDL, HDL, complement C3 and C4 in the osteoporosis group[(80.6±8.2)years, (4.43±1.25)mmol/L, (2.27±0.73) mmol/L, (1.33±0.39) mmol/L, (1.12±0.22) g/L, (0.29±0.09)g/L], were significantly higher than those in the non-osteoporosis group[(77.5±8.3)years,(4.04±1.02)mmol/L,(1.97±0.59)mmol/L,(1.19±0.32)mmol/L,(0.86±0.25)g/L,(0.21±0.06)g/L,t-value were 2.571,-3.848,-4.483,-3.951,-1.249,-1.185,P<0.05], and the the BMI bone mineral density T-Score value of DXA and in the osteoporosis group were significantly lower than those in the non-osteoporosis group[(22.33±3.8)kg/m2, -2.74±0.78 and (25.03±4.2)kg/m2, 0.14±0.9, while the t value was 6.151 and 4.624, respectively, P<0.05]. The level of TG in osteoporotic group was significantly lower than that in non-osteoporotic group[the median (quartile) was 1.21(0.67,1.44)mmol/L and 1.37(0.86,1.67)mmol/L, respectively, Z=-2.51, P<0.01].Gender and serum levels of HDL, LDL, C3 and C4 were independent risk factors for senile osteoporosis(OR=2.476,P=0.004;OR=1.305,P=0.038;OR=1.564,P=0.028; OR=1.018, P=0.025; OR=1.023, P=0.015, respectively). The risk of osteoporosis in women was 2.476 times higher than that in men of the same age. The corresponding risk of osteoporosis increased by1.305,1.564, 1.018 and 1.023 times as HDL, LDL, C3 and C4 increased by one unit. The areas under the ROC curve detected separately by HDL, LDL, C3 and C4 were 0.623,0.595,0.673 and 0.731 respectively, and the area under the ROC curve of the four items was 0.864.@*Conclusions@#The levels of blood lipids and complements play a great role in bone metabolism. The combined detection of blood lipid metabolism and complement can improve the diagnostic efficacy of senile osteoporosis.
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Objective To investigate the diagnostic value of serum complement level and lipid metabolism level detection in senile osteoporosis. Methods A total of 215 elderly people who underwent physical examination and bone mineral density test in Beijing Jishuitan Hospital from January 2016 to June 2016 were divided into osteoporotic group(74) and non-osteoporotic group (141) according to bone mineral density classification. The relationship between serum complement C3, complement C4, low density lipoprotein cholesterol (LDL), high density lipoprotein cholesterol (HDL), triglyceride (TG), total cholesterol (CHO) and bone mineral density were analyzed. The data were analyzed by t-test,non-parametric test,binary Logistic regression and the receiver operating characteristic(ROC) curve. Results The age and CHO,LDL, HDL, complement C3 and C4 in the osteoporosis group[(80.6 ± 8.2)years, (4.43 ± 1.25)mmol/L, (2.27 ± 0.73) mmol/L, (1.33 ± 0.39)mmol/L, (1.12 ± 0.22)g/L, (0.29 ± 0.09)g/L], were significantly higher than those in the non-osteoporosis group[(77.5±8.3)years,(4.04±1.02)mmol/L,(1.97±0.59)mmol/L,(1.19±0.32)mmol/L,(0.86± 0.25)g/L, (0.21 ± 0.06)g/L, t-value were 2.571,-3.848,-4.483,-3.951,-1.249,-1.185, P<0.05], and the the BMI bone mineral density T-Score value of DXA and in the osteoporosis group were significantly lower than those in the non-osteoporosis group[(22.33 ± 3.8)kg/m2,-2.74 ± 0.78 and (25.03 ± 4.2)kg/m2, 0.14 ± 0.9, while the t value was 6.151 and 4.624, respectively, P<0.05]. The level of TG in osteoporotic group was significantly lower than that in non-osteoporotic group[the median (quartile) was 1.21(0.67,1.44)mmol/L and 1.37(0.86,1.67)mmol/L, respectively, Z=-2.51, P<0.01].Gender and serum levels of HDL, LDL, C3 and C4 were independent risk factors for senile osteoporosis(OR=2.476,P=0.004;OR=1.305,P=0.038;OR=1.564,P=0.028;OR=1.018, P=0.025;OR=1.023, P=0.015, respectively). The risk of osteoporosis in women was 2.476 times higher than that in men of the same age. The corresponding risk of osteoporosis increased by1.305, 1.564, 1.018 and 1.023 times as HDL, LDL, C3 and C4 increased by one unit. The areas under the ROC curve detected separately by HDL, LDL, C3 and C4 were 0.623,0.595,0.673 and 0.731 respectively, and the area under the ROC curve of the four items was 0.864. Conclusions The levels of blood lipids and complements play a great role in bone metabolism. The combined detection of blood lipid metabolism and complement can improve the diagnostic efficacy of senile osteoporosis.
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Objective To find the rational selection of specimens for the detection of Epstein-Barr virus ( EBV ) DNA.Methods A total of 117 patients were diagnosed with EBV infection at Beijing Friendship Hospital from January to June 2017, including 44 patients with infectious mononucleosis (IM), 36 patients with EBV-associated hemophagocyticlymphohistiocytosis ( HLH ) and 37 patients with post-transplant lymphoproliferative disorders (PTLD).Patients were aged from 6 months to 28 years.EBV DNA loads (median and quartile) in peripheral blood mononuclear cells (PBMC) and plasmawere detected by real-time quantitative PCR.The viral loads of different specimen types were compared by nonparametric rank sum test ( Mann-Whitney test, M-W test) .Spearman correlation analysis was performed for correlation analysis.Results TheEBV DNA loads in PBMC of IM and PTLD were 53600 (7875,626500) copies/ml and 114000 (3396,590500) copies/ml, which were significantly higher than those in plasma [4500 (675, 8600)copies/ml and 0(0, 0)copies/ml, respectively].The M-W values were 372.5 and 30.5 respectively (both P<0.001), which indicated statistically significant differences .However, the EBV DNA loads in PBMC and plasma of HLH were 5100 (1425, 170000) copies/ml and 13500 (1303, 152500) copies/ml.The M-W value was 646.5 (P=0.991), which indicated no statistically significant difference . Spearman correlation analysis showed good correlations of EBV DNA loads between PBMC and plasmain IM and HLH, and the r values were 0.548 and 0.400, respectively (both P<0.05), while the correlation of EBV DNA loads between PBMC and plasma in PTLD was poor , and the r value was 0.308 ( P>0.05 ) . Conclusions For the diagnosis and monitoring of EBV infection , the types of specimens recommended by different diseases are different .Plasma or serum specimens are recommended for quantitative detection of EBV DNA in IM and HLH, while PBMC and plasma specimens are recommended in PTLD .Clinically, the type of specimen should be chosen reasonably according to the type of disease .
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Objective Comparison the corrective effect of plasma exchange method and formula method for chylemia on hematology analysis.Methods A total of 10 samples without hemolysis,jaundice and lipemia were set as control group,each sample was divided into 4 parts,then 5,10,20 and 40 μl lipid emulsion was added.Each chylous samples was treated by plasma exchange method for two times,and routine blood test was reanalyzed with hematology analyzer.The comparisons before and after the exchange was made,while the test results on each exchange were analyzed.For another part,the HGB of chylous plasma was tested,the value was substituted into HGBcorrected value =HGBbefore correction-(HGBchylous plasma-HGBchylous plasma ×HCTbefore correction).Results The chylemia could lead significant increase of HGB,MCH and MCHC (P＜0.05).After plasma exchanging for two times,the three parameters returned to normal and the count of WBC,RBC and PLT decline slightly with no significance.There were no differences between plasma exchange method and formula calibration method.Conclusion Plasma exchange method and formula calibration method could significantly reduce the impact of chylemia on routine blood analysis,which facilitate the clinical work with correct analysis of routine blood test.
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Objective To understand the prevalence and genotype distribution of human papillomavirus among male patients attending to venereal outpatient department and provide basic data for prevention and treatment of HPV.Methods Retrospective analysis method was used to analyze 1 074 patients from venereal outpatient department of Beijing Friendship Hospital during January to August in 2015.Swab specimen were analyzed by flow-through hybridization and gene chip to detect the type of HPV.Chi-square test was used to compare the distribution of CA and suspected patients.Results Among the 434 CA samples, the positive rate was 72.6%(315/434).The 58.1%(252/434) samples were high risk HPV positive and 14.5%(63/434) samples were low risk HPV positive.In high risk HPV infection, multiple infection accounted for 40.4%(175/434) and single infection was 17.7%(77/434), while in low risk HPV infection, single infection accounted for 12.9%(56/434).HPV-11, HPV-6, HPV-16, HPV-52, HPV-58 and HPV-51 were common.The positive rate among suspected CA patients was 36.6%(234/640) , and dominated in high risk HPV infection 25.3%( 162/640 ) .The positive rates of high risk HPV in CA patients [ 40.4%( 175/434 ) and 17.7%( 77/434 ) ] were obviously higher than that of suspected ones [12.9%(56/434) and 1.6%(7/434)], χ2 =95.956 and 9.122, both P<0.05.Conclusions Male patients from venereal outpatient department have a high prevalence of HPV, and common genotype are HPV-11, HPV-6, HPV-16, HPV-52, HPV-58 and HPV-51.The intensity of HPV screening should be strengthened in order to provide the vital basis for the prevention and treatment HPV related diseases.
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Objective To compare the load of EB virus in peripheral white blood cell,plasma and serum in the patients with he-matologic diseases,and to discuss the feasibility of detecting EB virus load by using plasma or serum instead of peripheral white blood cell.Methods Venous blood of 125 patients with hematologic diseases were collected,and peripheral white blood cell,plasma and serum were isolated.The real-time quantitative PCR was used to detect the virus load in three kinds samples with the EB virus load in peripheral blood cell as the gold standard.Results Compared to peripheral white blood,the EB virus load in plasma and ser-um showed no statistical difference(P >0.05).Conclusion Using plasma or serum instead of peripheral white blood cell for con-ducting the quantitative detection of the load of EB virus will be a reliable method.
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Objective To discuss the best bacterial combination for the diagnosis of Bacterial vaginosis (BV).Methods This is a retrospective study,230 BV-positive patients and 360 healthy women were enrolled based on the Amsel criteria and Nugent score.5 BV-associated bacteria,including Gardnerella vaginalis,Atopobium vaginae and Leptotrichia/Sneathia species,et al.were amplified by specific-PCR assay,the detection rate were compared between two groups.ROC curve and Kappa test were used to select the best combination.Results The detection rate of Gardnerella vaginalis,Atopobium vaginae,Leptotrichia/Sneathia species,Megasphaera species and Mobiluncus mulieris in BV group (91.3％,83.5％,39.1％,42.6％ and 36.5％ respectively) were markedly higher than that in healthy women (37.2％,14.4％,11.7％,8.9％ and 5.6％ respectively),x2 value were 168.848,275.776,60.949,92.886 and 92.68,all P ＜ 0.05.The area under ROC curve of A.vag,G.Vag + A.vag,G.Vag + A.vag + Lepto,G.Vag + A.vag +Mega and G.Vag + A.vag + M.mul were 0.845,0.862,0.865,0.869 and 0.867,and the sensitivity and specifity were higher than 80％,the value of Kappa were larger than 0.75 (P ＜ 0.05).Thus,these five methods were coincident.Conclusion Detection of Atopobium vaginae may be a better way for the diagnosis of BV.