Objective To review the association between chlamydia pneumoniae (CP) infection and cerebral infarction. Methods We electronically searched MEDLINE, BIOSIS, VIP database, and China Full Text Journal Database from Jan. 1990 through Dec. 2007 to identify case-control studies about the association of CP and cerebral infarction. The quality of the included studies was assessed and the RevMan 4.2 software was used for meta-analyses. Results A total of 22 studies were included. The results of meta-analyses showed: ① When the microimmunofluorescence (MIF) method was used to examine CP antibody in serum, the positive rate of the cerebral infarction group was higher than that of the control group when the positive infection was defined by IgA≥1?16 [n=8, OR=2.18, 95%CI (1.49 to 3.49), Plt;0.0001]; but when positive infection was defined by IgA≥1?32 (n=3), IgG≥1?32 (n=6), or IgG≥1?64 (n=5), there were no significant differences in the positive rate between the two groups [OR (95%CI) were 1.47 (0.97 to 2.24), 1.24 (0.82 to 1.86), and 1.23 (0.98 to 1.55), respectively]; ② When the ELISA method was used to examine CP-IgG antibody in serum, the positive rate of the cerebral infarction group was higher than that of the controlled group [n=8, OR=2.40, 95%CI (1.42 to 4.06), P=0.000 2]. ③ The acute and chronic CP infections were associated with the incidence of cerebral infarction [n=4, OR=7.22, 95%CI (2.68 to 19.49); n=4, OR=4.30, 95%CI (3.40 to 7.40)]. Conclusion ① The association between CP infection and cerebral infarction is determined by the positive criterion. IgA antibody is more sensitive than the IgG antibody. When the positive infection is determined by IgA≥1?16, CP infection is associated with cerebral infarction. ② The results of ELISA for examining CP-IgG support the association between CP infection and cerebral infarction. ③ Both acute and chronic CP infections are associated with cerebral infarction, but these associations needed to be proven by more scientific studies.
ObjectiveTo understand the characteristics of and risk factors for nosocomial infection in a newly built branch of a university teaching hospital, in order to investigate the control measures for prevention and control of nosocomial infection. MethodsA total of 598 cases of nosocomial infection from April 2012 to June 2014 were enrolled in this study. We analyzed statistically such indexes as nosocomial infection rate, infection site, pathogen detection, and use of antibiotics. Meantime, infection point-prevalence survey was introduced by means of medical record checking and bedside visiting. ResultsAmong all the 44 085 discharged patients between April 2012 and June 2014, there were 598 cases of nosocomial infection with an infection rate of 1.36%. Departments with a high nosocomial infection rate included Intensive Care Unit (ICU) (9.79%), Department of Orthopedics (2.98%), Department of Geriatrics (2.62%), and Department of Hematology (1.64%). The top four nosocomial infection sites were lower respiratory tract (45.32%), urinary tract (13.21%), operative incision (8.86%), and blood stream (8.86%). The samples of 570 nosocomial infections were delivered for examination with a sample-delivering rate of 95.32%. The most common pathogens were acinetobacter Baumanii (17.02%), Klebsiella pneumoniae (14.21%), Escherichia coli (13.68%), Pseudomonas aeruginosa (11.93%), and Staphylococcus aureus (9.12%). And urinary tract intubation (42.81%), admission of ICU (28.60%), and application of corticosteroid and immunosuppressive agents (26.42%) were the top three independent risk factors for nosocomial infection. ConclusionGeneral and comprehensive monitoring is an effective method for the hospital to detect high-risk departments, factors and patients for nosocomial infection, providing a theoretical basis for prevention and control of nosocomial infection.
Objective To evaluate systematically the effectiveness and safety of procalcitonin ( PCT) -guided therapy in comparison with standard therapy in patients with suspected or confirmed severe bacterial infections in intensive care unit ( ICU) . Methods Five randomized controlled trials ( 927 patients) were included for statistical analysis by the cochrane collaboration′s RevMan5. 0 software. Results PCT-guided therapy was associated with a significant reduction in duration of antibiotic therapy [ MD =- 2. 01, 95% CI ( - 2. 37, - 1. 64) , P lt;0. 00001] , but the mortality [ OR =1. 11, 95% CI ( 0. 83, 1. 49) ,P =0. 47] and length of ICU stay[ MD = 0. 49, 95% CI( - 1. 44, 2. 42) , P = 0. 62] were not significantly different. Conclusions An algorithmbased on serial PCT measurements would allow a more judicious use of antibiotics than currently traditional treatment of patients with severe infections in ICU. It can reduce the use of antibiotics and appears to be safe.