Methods
This study was conducted at Ghent University Hospital, a 1060-bed tertiary care center with a 54-bed ICU including a surgical and medical ICU, an ICU for cardiac surgery, and a burn unit. No significant changes in age, length of ICU stay, or Acute Physiology and Chronic Health Evaluation (APACHE) II scores [5]were observed during the study period. We conducted a retrospective matched cohort study (1: 2 ratio) in which all ICU patients with microbiologically documented A. baumannii bacteremia were defined as cases. Every case-patient was matched with two other ICU patients (matched controls) without clinical or microbiological evidence of nosocomial blood stream infection (with the exception of bacteremia caused by coagulase-negative Staphylococci). The study was performed in adult, non-neutropenic (neutrophil count >500/mm3), critically ill patients admitted to the ICU over a 7–year period (January 1992–December 1998).
A hospital-wide case-based surveillance program for blood stream infections was used for the retrospective search for ICU patients with bacteremia involving A. baumannii. Every patient whose ICU stay was complicated by A. baumannii bacteremia was included in the analysis. Control patients were selected from the same period. Matching was based upon the APACHE II classification system: an equivalent APACHE II score (±2 points) and equivalent principal diagnosis leading to ICU admission [5, 6, 7]. As expected mortality can be derived from the APACHE II system (APACHE II score and diagnostic category), this matching procedure results in a similar expected mortality in cases and controls. In addition, control patients were required to have an ICU stay equivalent to (or longer than) that of the cases prior to the onset of the bacteremia. Selection of controls was obtained without knowledge of outcome. In the case of more than two potential controls matching was based on the nearest admission date of the case.
Definitions
Bacteremia were considered nosocomial when detected more than 48 h after hospital admission. A. baumannii bacteremia was defined as the presence of A. baumannii in the blood, documented by at least one positive hemoculture. Hemocultures were taken on a routine basis when the patient's temperature rose above 38.4°C and were processed following the BacT/Alert (Organon Teknika, Durnham, N.C., USA) procedure. All positive hemocultures were judged on their clinical significance in consideration with clinical microbiologists, intensive care physicians, and sometimes infectious diseases specialists. Antibiotic resistance was determined according to methods recommended by the National Committee for Clinical Laboratory Standards for disk diffusion testing [8]. During the study period there were no changes in microbiological laboratory techniques. The source of the bacteremia was determined by both intensivists and microbiologists and based on isolation of A. baumannii from the presumed portal of entry and by clinical evaluation.
Antibiotic therapy was considered appropriate if the drugs used at therapeutic doses had in vitro activity against the strain isolated. We considered antibiotic therapy as inappropriate if the drugs used did not have in vitro activity against the A. baumannii strain, or if the patient did not receive antibiotic treatment. Delay in the start of antibiotic treatment was calculated from the day of onset of the bacteremia. In five patients no data on antibiotic therapy were available. Acute respiratory failure was defined as ventilator dependence, acute renal failure as dialysis dependence, and hemodynamic instability as the need for vasopressors or inotropics during the ICU stay.
Outcome evaluation was based on the in-hospital mortality of cases and controls. Mortality attributable to the A. baumannii bacteremia is the excess mortality caused by the blood stream infection. This was determined by subtracting the crude mortality rate of the control patients from the crude mortality of the cases [9, 10]. Excess length of ICU stay is calculated by subtracting the median ICU stay of the controls from the median ICU stay of the case-patients [10].
Patients
During the study period 22,431 patients were admitted to the ICU. Principal admission diagnosis of cases and controls are in Table 1. Of 90 control subjects five did not meet the criterion of length of ICU stay equivalent to that of the respective case-patient. Population characteristics for cases and controls are presented in Table 1. Bacteremia involving A. baumannii was diagnosed in 45 patients. This represents an incidence of 2.0 A. baumannii bacteremia on 1000 ICU admissions. The mean length of ICU stay prior to the onset of the bacteremia was 15±12.9 days (median 11 days).
Table 1. Population characteristics of ICU patients
with (cases) and without A. baumannii bacteremia (controls) (IQR interquartile range)
Fifteen bacteremia (33.3%) were of unknown origin. Most detected secondary sources were pulmonary (31.1%) and postsurgical intra-abdominal infections (22.2%). Other sources were contaminated central venous catheters (6.7%), wound infections (4.4%), sinusitis (4.4%), and urinary tract infections (4.4%). Twenty-two bacteremia (48.9%) were polymicrobial. Micro-organisms other than A. baumannii involved in these polymicrobial episodes were coagulase-negative staphylococci (n=8), enterococci (n=5), Enterobacter species (n=3), Citrobacter species (n=2), Escherichia coli (n=1), and Bacteroides fragilis (n=1).
Sixteen strains (35.6%) were susceptible only to carbapenems and polymyxin B. Thirty-seven strains (82.2%) were ceftazidime-resistant. Antibiotic therapy was administered to 88% of the patients. The mean delay in the start of treatment was 0.8±1.2 days. The mean length of therapy was 11±10.1 days.
Statistical analyses
Continuous variables are described as mean ±standard deviation (SD) and median (range: lower quartile – upper quartile). Comparative analyses used the Mann-Whitney U test or the χ2 as appropriate. For the attributable mortality rate and differences between expected and observed mortality 95% confidence intervals (CI) are reported. Survival curves are prepared by means of the Kaplan-Meier method and univariate survival distributions are compared with use of the log-rank test. A multivariate survival analysis is evaluated according to the Cox proportional-hazards model; here hazard ratios (HR) and 95% CI are reported. Variables entered in the model were required to have a plausible relationship with mortality as well as a significant level of p<0.1 in univariate analysis. A. baumannii bacteremia was entered in the model irrespective of these requirements as it was the principal variable of investigation. In this analysis continuous variables were handled continuously. Statistical analyses were executed with Statistica 4.5 and SPSS 9.0. All tests were two-tailed, and statistical significance is defined as p<0.05.