Objective To analyze morbility，risk factors，etiology，treatment and outcome of nosocomial pulmonary fungal infections in respiratory intensive care unit（RICU）.Methods Forty-seven respiratory RICU patients with nosocomial pulmonary fungal infections between July 2000 and June 2005 were retrospectively analyzed.Results All of the 47 cases were clinically diagnosed as probable nosocomial pulmonary fungal infections，with the morbidity of 10.8% significantly higher than general wards（1.8%，Plt;0.005）.COPD and bacterial pneumonia were the major underlying diseases of respiratory system with a percent of 38.30% and 36.17%，respectively.Forty-one patients (87.2%) had risk factors for fungal infections.Compared with general wards，the proportion of Aspergillosis was higher in RICU without significant difference (Pgt;0.1)；the proportions of Candida glabrata and Candida tropicalis were higher too，but that of Candida krusei was relatively low.The effective rate of antifungal treatment was 79.1% and fluconazol was the most common used antifungal agents.The mortality of fungal infection in RICU was higher than that of general wards but without significant difference（Pgt;0.1）.Conclusion The morbidity of nosocomial pulmonary fungal infection in respiratory RICU is higher than that in general wards.The proportions of infection caused by Aspergilli and some Candida resistant to fluconazol is relatively high.Early and effective treatment is needed in these patients considering the poor prognosis.
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 evaluate the clinical features and complications of bedside tracheal intubation in intensive care unit ( ICU) , and explore the suitable strategy of intubation. Methods In this retrospective study,42 patients who underwent bedside tracheal intubation in ICU during September 2008 and March 2009 were divided into a schedule group ( n =24) and an emergency group ( n =18) . The time to successful intubation, number of intubation attempts, and complications were recorded. The schedule group was defined as those with indications for intubation and fully prepared, while the emergency group was defined as those undergoing emergency intubations without full preparation due to rapid progression of disease and accidental extubation. Results The success rate for all patients was only 57. 1% on the first attempt ofintubation. The main complications during and after induction were hypotension ( 45. 2% ) and hypoxemia ( 50. 0% ) . Compared with the emergency group, the schedule group had fewer attempts to successful intubation ( 1. 71 ±1. 12 vs. 2. 67 ±1. 75) , higher success rate on the second attempt ( 87. 5% vs.61. 1%) , and lower ypoxemia incidence ( 29. 1% vs. 77. 8%, P lt; 0. 05) . Conclusions The tracheal intubation in ICU is a difficult and high risk procedure with obvious complications. Early recognition ofpatients with indications and well preparation are critical to successful bedside intubation.
Objective To analyze the etiology, risk factors, and prognosis of late-onset hospitalacquired pneumonia ( L-HAP) in respiratory ICU. Methods In this retrospective case control study, 30 L-HAP patients and 30 patients without HAP in respiratory ICU were enrolled to investigate the features and risk factors of L-HAP. Stratification was made according to the onset time of L-HAP. The etiology and pathogen distribution at each stage were described and analyzed. Results Univariate analysis revealed thatunconsciousness, aspiration, mechanical ventilation, hypoalbuminemia, and long-term use of proton pump inhibitor were significantly associated with L-HAP. Logistic regression analysis revealed that mechanical ventilation( OR = 8. 7) and hypoalbuminemia ( OR = 20. 4) were independent risk factors for L-HAP. The L-HAP patients had longer stay in hospital, long-termantibiotic use, and higher mortality compared with the patients without HAP. For the patients whose L-HAP onset time within 6-14 days, the dominated pathogens were Acinetobacter baumannii and Klebsiella pneumonia. For those within 15-28 days, the dominated pathogens were Pseudomonas aeruginosa, Acinetobacter baumanni, and Staphylococcus aureus. For those beyond 29 days, the dominated pathogens were Pseudomonas aeruginosa and Stenotrophomonas maltophilia. Conclusions Mechanical ventilation and hypoalbuminemia are independent risk factors for L-HAP. The pathogen features of L-HAP are quite different at different inhospital stage.
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.
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.
Objective To investigate the drug resistance and homogeneous analysis of Acinetobacter baumanii in emergency intensive care unit ( EICU) . Methods Four multidrug-resistant Acinetobacter baumannii ( MDR-Ab) strains isolated fromnosocomial inpatients fromJuly 25 to September 7 in 2009 were collected and tested for drug sensitivity and MIC determination as well. The A. baumannii isolates were typed with pulsed-field gel electrophoresis ( PFGE) to determine whether they derived fromthe same clone.Results Four isolates from nosocomial inpatients were resistant to multiple antibiotics including carbapenem. The PFGE types identified from four isolates were A and B. The A. baumannii isolates did not derived from the same clone. Conclusion The prevalence of nosocomial infection is not due to transmission of the same strains among different individuals in EICU.
Objective To investigate the species distribution and antibiotic resistance of pathogens fromcatheter-related bloodstream infections ( CRBSI) in intensive care unit( ICU) , to provide evidence for the guidance of clinical rational administration.Methods A retrospective analysis was performed to review the microbiological and susceptibility test data of all CRBSI patients in ICU from January 2009 to December 2011. The patterns of antibiotic resistance among the top seven bacteria were compared. Results 67 cases of CRBSI were detected with 81 strains, including 40 Gram-positive ( G+ ) bacteria( 49.4% ) , 38 Gram-negative( G- ) bacteria ( 46.9% ) , and 3 fungi ( 3.7% ) . The main pathogens causing CRBSI were coagulase negative Staphylococci ( 27 strains, 33.3%) , Acinetobacter baumannii ( 12 strains, 14.8% ) , Klebsiella pneumoniae( 9 strains, 11. 1% ) , Staphylococcus aureus ( 8 strains, 9. 9% ) , Pseudomonas aeruginosa ( 7 strains, 8. 6% ) , Escherichia coli ( 6 strains, 7.4% ) , suggesting that Staphylococcus epidermidis was predominant pathogenic G+ bacteria, and Acinetobacter baumannii was predominant G- bacteria. The antibiotic resistance tests demonstrated that isolated G- bacillus was highly sensitive to carbopenem, while vancomycin-resistant G+ bacteria were not found. Conclusions Within the latest 3 years, the predominant pathogens of CRBSI in ICU are Staphylococcus epidermidis and Acinetobacter baumannii. Acinetobacter baumannii exhibited high drug resistance to all antibiotics.
Objective To investigate the postoperative treatment of pleuropneumonectomy for tuberculosis destroyed lung in ICU, in order to improve the therapeutical efficacy for these patients. Methods Clinical data of 52 patients who suffered from tuberculosis destroyed lung and underwent pleuropneumonectomy from June 2008 to June 2010 were analyzed retrospectively. All of subjects received routine treatment in ICU after the operation. Meanwhile，appropriate targeting treatments were applied including diagnosis and treatment of postoperative bleeding; application of fiberbronchoscope to aspirate the sputum after the operation,sequential non-invasive ventilation after the invasive ventilation for acute respiratory failure after operation ,etc.Results A total of 52 patients received the pleuropneumonectomy operation. Bleeding occurred in 11 cases after operation and stopped after the integrated therapy. 8 patients suffered from acute respiratory failure and attenuated after sequential ventilation. No patients died for postoperative bleeding or acute respiratory failure. Conclusions Patients who suffered from tuberculosis destroyed lung and received pleuropneumonectomy with postoperative bleeding and acute respiratory failure have a good prognosis after appropriate postoperative treatment in ICU.
Objective To analyze risk factors for prolonged stay in intensive care unit (ICU) after cardiac valvular surgery. Methods Between January 2005 and May 2005, five hundred and seven consecutive patients undergone cardiac valvular surgery were divided into two groups based on if their length of ICU stay more than 5 days (prolonged stay in ICU was defined as 5 days or more). Group Ⅰ: 75 patients required prolonged ICU stay. Group Ⅱ: 432 patients did not require prolonged ICU stay. Univariate and multivariate analysis (logistic regression) were used to identify the risk factors. Results Seventyfive patients required prolonged ICU stay. Univariate risk factors showed that age, the proportion of previous heart surgery, smoking history and repeat cardiopulmonary bypass (CPB) support, cardiothoracicratio, the CPB time and aortic crossclamping time of group Ⅰ were higher or longer than those of group Ⅱ. The heart function, left ventricular ejection fraction (LVEF), pulmonary function of group Ⅰwere worse than those of group Ⅱ(Plt;0.05, 0.01). Logistic regression identified that preoperative age≥65 years (OR=4.399), LVEF≤0.50(OR=2.788),cardiothoracic ratio≥0.68(OR=2.411), maximal voluntary ventilation observed value/predicted value %lt;71%(OR=4.872), previous heart surgery (OR=3.241) and repeat CPB support during surgery (OR=18.656) were final risk factors for prolonged ICU stay. Conclusion Prolonged ICU stay after cardiac valvular surgery can be predicted through age, LVEF, cardiothoracic ratio, maximal voluntary ventilation, previous heart surgery and repeat CPB support during surgery. The patients with these risk factors need more preoperative care and postoperative care to reduce mortality, morbidity and avoid prolonged ICU stay after cardiac valvular surgery.