Objective To investigate the species distribution and antibiotic resistance among the bloodstream infections in intensive care unit ( ICU) . Methods A retrospective analysis was performed to review the microbiological and susceptibility test data of all bloodstream infections in ICU from January 2004 to September 2009. The patterns of antibiotic resistance among the top five bacteria were compared. Results 89 cases of bloodstream infection were detected with 112 strains, including 55 Gram-positive ( G+ ) bacteria( 49. 1% ) , 55 Gram-negative ( G- ) bacteria ( 49. 1% ) , and 2 fungi ( 1. 8% ) . The main pathogens causing bloodstream infection were Burkholderia spp. ( 33, 29. 5% ) , S. epidermidis( 31, 27. 7% ) , Klebsiella pneumoniae ( 7, 6. 3% ) , S. aureus ( 7, 6. 3% ) , S. hominis ( 6, 5. 4% ) , Acinetobacter baumannii ( 6,5. 4% ) , Pseudomonas aeruginosa( 5, 4. 5% ) and S. haemolyticus( 5, 4. 5%) , suggesting that Burkholderia spp. was predominant pathogenic G- bacteria, and coagulase-negative staphylococcus was predominant G+ bacteria. The antibiotic resistance tests demonstrated that isolated G- bacillus was highly sensitive to carbopenem, while vancomycin-resistant G+ cocci were not found. Conclusions Within the latest 5 years,the prevalence of G+ bacteria infection is almost equivalent to G- bacteria in blood stream infection.Coagulase-negative staphylococcus is the mainly G+ bacteria and Burkholderia spp. is predominant in G- bacteria. Carbopenemand glycopeptides still remain to be the first choice.
Objective To explore the distribution characteristics and prognostic risk factors of critically ill patients who has long-term hospitalization in intensive care unit ( ICU) . Methods A retrospective study was carried out to evaluate 119 critically ill patients from January 2003 to July 2009 by extracting data from computerized hospital information system. The patients were divided into a survival group and a non-survival group based on discharging outcomes. A binary logistic regression analysis wasintroduced to investigate potential risk factors of prognosis. Results Age, type of payment, entity of disease,and length of ICU stay were significantly different between the two groups ( P lt; 0. 05) in independent-Samples T test. Logistic regressions indicated that age, length of ICU stay and plasma infusion were independent predictors for worse outcome. Conclusions Age, length of ICU stay and plasma infusion may directly influence the prognosis of patients with prolonged stay in ICU. Intensive therapies should be emphasized for those patients at high risk.
Objective To investigate the prognostic factors and hospitalization cost in patients diagnosed as central line-associated bloodstream infection( CLABSI) in intensive care unit( ICU) .Methods A retrospective study was made to investigate the CLABSI epidemic data in ICU from June 2006 to June 2009. Clinical and physiological parameters were summarized and compared between these patients, which were divided into two groups based on the clinical outcome. Meanwhile, events including blood transfusion,mechanical ventilation, as well as cost of hospitalization were also reviewed. Logistic regression method was introduced to investigate the potential prognostic risk factors. Results There were 49 patients were diagnosed as nosocomial CLABSI, in which 19 cases( 38. 8% ) died in the hospital and 30( 61. 2% ) weresurvival. In univariate analysis, differences in body temperature, central venous pressure, acute physiology and chronic health evaluation( APACHEⅡ ) score, blood transfusion amount, pH value, D-dimer, blood serum alanine transarninase, blood urea nitrogen level, serumcreatinine, serumpotassiumbetween the survivors andthe non-survivors were significant( P lt;0. 05) . However, no significant differences were observed between the two groups in in-hospital days, ICU days and hospitalization cost ( all P gt; 0. 05) . With multiple logistic regressions, higher APACHEⅡ score( OR 0. 78; 95% confidence interval: 0. 66-0. 94; P = 0. 007) , APTTlevel( OR 0. 87; 95% confidence interval: 0. 77-0. 98; P = 0. 026) and serum potassium( OR 0. 09; 95% confidence interval: 0. 01-0. 80; P = 0. 031) were independent predictors of worse outcome. Conclusions Disease severity and coagulation situation may directly predict the prognosis of nosocomial CLABSI patients.But current investigation did not demonstrate significant differences in ICU length of stay and respective cost between the CLABSI patients with different prognosis.