1.Analysis on correlation between RBC distribution width and urinary protein /creatinine ratio in patients with essential hypertension
Linhua GAO ; Guiyun YE ; Xidi CHI
International Journal of Laboratory Medicine 2017;38(5):651-653
Objective To investigate the correlation between red blood cell distribution width (RDW) and urinary protein /cre-atinine ratio(TPCR) in elderly patients with essential hypertension .Methods TPCR ,Cr ,CysC ,eGFR ,TG ,TC ,LDL-C ,ApoA1 , ApoB and blood routine were detected in 801 elderly patients with essential hypertension and 98 healthy people .The differences of these indexes were compared between the two groups and the difference of RDW was compared among different grades of hyperten-sion .The hypertension patients were divided into two groups by TPCR<200 mg/g Cr or ≥200 mg/gCr ,the levels of RDW were compared between the two groups and the correlation between TPCR with RDW was analyzed .Results The age ,gender ,Cr and HB had no statistical differences between the hypertension group and control group (P>0 .05);TPCR ,TG ,TC ,LDL-C ,ApoB and RDW levels in the hypertension group were increased ,the ApoA1 ,CysC and eGFR levels were decreased ,the differences were sta-tistically significant (P<0 .05);the RDW level in the hypertension group was significantly higher than that in the control group ,the difference was statistically significant(P<0 .05);the RDW level was increased with the increase of blood pressure level ,the differ-ence was statistically significant(P<0 .05);the Pearson correlation analysis showed that RDW was positively correlated with TPCR (P<0 .05) .Conclusion The RDW level is elevated in the essential hypertension group ,and correlated with the level of TPCR .
2.Correlation between ureaplasma urealyticum and human papilloma virus infection
Guoyu LI ; Xidi CHI ; Shihua GAO
International Journal of Laboratory Medicine 2015;(7):950-951,953
Objective To investigate the correlation of Ureaplasma urealyticum (UU ) infection and human papillomavirus (HPV) infection .Methods 348 outpatients in the obstetrics and gynecology clinic of our hospital were performed the retrospective analysis .The cervical secretion samples were collected and simultaneously detected the common high risk types of HPV DNA (16 , 18 ,31 ,33 ,45 ,52 ,56 ,58) and UU DNA by using fluorescence quantitative PCRAB7300 detecting instrument .The two groups of da‐ta were set .In the first group ,UU DNA positive was taken as the experimental group and UU DNA negative as the control group , the data in the two groups were performed the detection positive rate analysis of common high‐risk HPV DNA .In the second group of data ,UU DNA copy number greater than 104 was taken as the positive control and UU DNA copy number less than 104 as the negative control ,two groups of data were performed the detection positive rate analysis of common in high‐risk HPV DNA .Results In the first group of data ,the UU DNA detection rate reached 67 .5 (235/348) ,the HPV DNA detection rate with UU positive was 14 .89% (35/235) ,while which with UU negative was 7 .07% (8/113) ,the difference between the two groups of data had sta‐tistically significant(χ2 =4 .302 3 ,P<0 .05) .In the second group of data ,the HPV detection rate with UUDNA copy number grea‐ter than104 was 17 .75% (30/169) ,while which with UU DNA copy number less than 104 was 7 .57% (5/66) ,the difference be‐tween the two groups of data was statistically significant (χ2 =3 .877 3 ,P<0 .05) .Conclusion UU infection has a correlation with HPV infection ,UU infection will increase the probability of HPV infection ,moreover with UU content increase ,the HPV infection is increased .
3.The drug resistance situation and clinical distribution of multi-drug resistance Acinetobacter baumannii in a general hospital in 2014
Xidi CHI ; Shihua GAO ; Mengyun CHEN ; Jialong CHEN ; Rongjin LIN
International Journal of Laboratory Medicine 2015;(18):2647-2649
Objective To investigate the drug resistance situation and clinical distribution of multi‐drug resistance Acinetobacter baumannii(MDRAB) ,in order to provide references for clinical treatment and prevention of MDRAB infection .Methods The de‐partments ,types of specimens ,time of infection ,gender and age of patients with Acinetobacter baumannii(AB)infection from Janu‐ary to December 2014 were retrospectively analysed ,and drug resistance rates of MDRAB were analysed as well .Results A total of 123 strains of MDRAB were isolated ,which accounted for 44 .73% of all strains of AB .The antibacterial resistance rates were over 90% for MDRAB against 12 out of 15 common antibacterial agents ,while the antibacterial resistance rate for MDRAB against mi‐nocycline was relatively low(19 .23% ) .Distribution of AB and MDRAB infection concentrated to certain departments ,which shown that intensive care unit(ICU) ,departments of respiratory medicine and neurosurgery were the major departments of infection .The strains of AB and MDRAB isolated from sputum specimens accounted for 84 .00% and 93 .50% respectively .There was no signifi‐cant differences of MDRAB infection among 12 Months in 2014 .There was no statistically significant differences in constituent ratio of MDRAB infection and non‐MDRAB infection between patients in different gender and between patients in different age groups . Conclusion MDRAB strains are seriously resistant to commonly used antibacterial agents ,while minocycline could still be a signifi‐cant antibacterial agent for clinical treatment of MDRAB infection .Strengthening infection management in ICU and departments of respiratory medicine and neurosurgery ,and infection management of respiratory tract and wound could have significance for reduc‐ing the risk of MDRAB infection .
4.Risk factors for multidrug-resistant Acinetobacter baumannii infection
Xidi CHI ; Shihua GAO ; Jialong CHEN ; Guoyu LI ; Rongjin LIN
Chinese Journal of Infection Control 2014;(9):534-537
Objective To evaluate risk factors for multidrug-resistant Acinetobacter baumannii (MDRAB)infec-tion,so as to provide reference for making preventive and control measures of MDRAB infection.Methods Clinical data of patients with Acinetobacter baumannii (A.baumannii )infection in a hospital between April 2011 and Sep-tember 2012 were surveyed,distribution and specimen sources of A.baumannii and MDRAB were analyzed,and risk factors of MDRAB were assessed.Results Of 236 isolates of A.baumannii,74 (31.36%)were MDRAB .The isolation rate of MDRAB in intensive care unit and neurosurgery department was up to 60.00%(27/45)and 58.06%(18/31)respectively;MDRAB were mainly isolated from wound (45.45%),respiratory tract (34.27%),and urinary tract (17.65%).Univariate analysis revealed that difference in length of hospital stay,use of serum albumin,fiberbronchoscopy, coma days,tracheotomy,use of ventilator,incisional drainage,urinary catheterization,use of carbapenems,and antimicro-bial days in different groups were statistically different (P <0.05).Multivariate logistic regression analysis revealed that tracheotomy(OR95%CI :1.152-7.187),use of ventilator(OR95%CI :1.263 -7.664)were independent risk factors for MDRAB infection.Conclusion Tracheotomy and use of ventilator play an important role in the producing and sprea-ding of MDRAB ,management on drug-resistant bacteria is important in reducing MDRAB infection.
5.Application of strong ion gap and other indicators in ICU
Zhongyuan ZHANG ; Wangping HU ; Xidi CHI ; Guiyun YE ; Shanghua XU ; Yongping ZHANG ; Longfei YE
International Journal of Laboratory Medicine 2014;(13):1683-1685
Objective To investigate the clinical application value of strong ion gap(SIG)generated by the third generation equa-tion following pH and the anion gap(AG)in critically ill patients.Methods On the basis of the determination results of blood gas and blood biochemistry,the equation in the Stewart-Figge methodology was adopted to calculate SIG.Results (1)There were sta-tistically significant differences in K+ ,Na+ ,HCO3 - ,AG,pH,PO4 3 - ,ALB,SIG and Cr between the critical illness groups and the control group(P <0.05).(2)The SIG mean value ratio the death group to non-death group was 3.04,the difference was the big-gest,P <0.05,AG and Cr took the second place.Conclusion SIG as a new indicator in combination with other biochemical and blood gas indicators,such as the HCO3 - ,AG,pH,PO4 3 - ,Cr and lactic acid can reflect the situation of the acid-base disorders in critically ill patients and plays a strong indicative role in predicting the disease development trends.