Antimicrobial combination treatment including ciprofloxacin decreased the mortality rate of Pseudomonas aeruginosa bacteraemia: a retrospective cohort study
verfasst von:
M. Paulsson, A. Granrot, J. Ahl, J. Tham, F. Resman, K. Riesbeck, F. Månsson
Ineffective antimicrobial therapy of Pseudomonas aeruginosa bacteraemia increases mortality. Recent studies have proposed the use of antimicrobial combination therapy composed of a beta-lactam with either ciprofloxacin or tobramycin. To determine if combination therapy correlates to lower mortality and is superior compared to monotherapy, we investigated the effect of antimicrobial treatment regimens on 30-day mortality in a cohort with Pseudomonas aeruginosa bacteraemia. All cases of P. aeruginosa bacteraemia (n = 292) in southwest Skåne County, Sweden (years 2005–2010, adult population 361,112) and the whole county (2011–2012, 966,130) were identified. Available medical and microbiological records for persons aged 18 years or more were reviewed (n = 235). Antimicrobial therapy was defined as empiric at admission or definitive after culture results and was correlated to 30-day mortality in a multivariate regression model. The incidence and mortality rates were 8.0 per 100,000 adults and 22.9% (67/292), respectively. As expected, multiple comorbidities and high age were associated with mortality. Adequate empiric or definitive antipseudomonal treatment was associated with lower mortality than other antimicrobial alternatives (empiric p = 0.02, adj. p = 0.03; definitive p < 0.001, adj. p = 0.007). No difference in mortality was seen between empiric antipseudomonal monotherapy or empiric combination therapy. However, definitive combination therapy including ciprofloxacin correlated to lower mortality than monotherapy (p = 0.006, adj. p = 0.003), whereas combinations including tobramycin did not. Our results underline the importance of adequate antipseudomonal treatment. These data also suggest that P. aeruginosa bacteraemia should be treated with an antimicrobial combination including ciprofloxacin when susceptible.
The online version of this article (doi:10.1007/s10096-017-2907-x) contains supplementary material, which is available to authorized users.
Abkürzungen
AIDS
Acquired immune deficiency syndrome
BSI
Bloodstream infection
CCI
Charlson comorbidity index
CF
Cystic fibrosis
CI
Confidence interval
COPD
Chronic obstructive pulmonary disease
MIC
Minimum inhibitory concentration
OR
Odds ratio
SD
Standard deviation
Introduction
Bacteraemia caused by the opportunist Pseudomonas aeruginosa is a serious condition that has increased in incidence [1]. It is associated with high age, multiple comorbidities and advanced or prolonged healthcare [1]. Hence, the incidence rate of P. aeruginosa bacteraemia is likely to continue to rise as healthcare services are advancing and life expectancy continues to increase [1, 2]. It is one of the most common Gram-negative bloodstream infections (BSI), only preceded by Escherichia coli and Klebsiella spp. However, the mortality of P. aeruginosa BSI has consistently been reported to be higher than that of E. coli BSI (23–36%) [1, 3‐8].
Treatment of pulmonary infections caused by P. aeruginosa has been the topic of several reviews [9‐11]. Patients with cystic fibrosis (CF) are often colonised by P. aeruginosa, but it is rare that CF patients suffer from bacteraemia [12]. Pseudomonas aeruginosa also occasionally colonises chronic wounds and the gastrointestinal and urinary tracts, particularly in hospitalised patients or patients with indwelling catheters [13]. Pseudomonas strains causing long-term colonisation of CF patients have adapted to become less virulent, but are extremely resistant to antimicrobials due to altered efflux pumps, porins, beta-lactamases with extended substrate specificity and biofilm formation [14]. On the other hand, invasive isolates are generally more susceptible to antimicrobials, although strains with extensive antimicrobial resistance have been reported [15]. The optimal antimicrobial treatment regimens against P. aeruginosa in the airway may, thus, differ from optimal treatment regimens against bacteraemia and conclusions drawn from studies on pneumonia may not be generalisable to bacteraemia.
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The most adequate treatment regimen of P. aeruginosa bacteraemia is a matter of debate. Despite the species being often highly resistant to antimicrobials, there are normally still several antimicrobial treatment regimens to choose from, either as monotherapy or combination therapy. Ineffective empiric antimicrobial therapy has been associated with increased mortality [16, 17]. Commonly used antipseudomonal drugs include penicillins with beta-lactamase inhibitors, certain cephalosporins, carbapenems, colistin, fluoroquinolones and aminoglycosides. Combination therapy is often administered to critically ill patients and most combinations include a beta-lactam antimicrobial together with either a fluoroquinolone or an aminoglycoside. Several studies have addressed the question as to whether to use monotherapy or combination therapy and the conclusions drawn are conflicting [16‐20]. The assumption that combination therapy including either fluoroquinolones or aminoglycosides would have an equivalent effect on P. aeruginosa bacteraemia is, however, not necessarily correct. Earlier studies are inconclusive due to the insufficient number of patients in each group or stratification into combined groups of both fluoroquinolones and aminoglycosides. Hence, the effect on bacteraemia of adding a fluoroquinolone or an aminoglycoside to a beta-lactam is unclear at present.
We investigated the effect on 30-day mortality of different antimicrobial treatment regimens against P. aeruginosa bacteraemia. We observed that both empiric therapy on admission and definitive therapy after culture results affected mortality. Combination therapy with a beta-lactam and ciprofloxacin was significantly associated with a lower mortality compared to monotherapy. Moreover, the design of our population-based retrospective cohort allowed us to observe unbiased incidence rates and antimicrobial susceptibility patterns.
Materials and methods
Study population and setting
The cohort comprised the adult population (aged ≥18 years) of southwest Skåne County, Sweden during a 6-year period (2005–2010; adult population 361,112) in addition to the entire county during a period of 2 years (2011–2012; adult population 966,130). The area corresponded to the catchment area of the microbiological laboratory in Malmö that was expanded in 2011 because of fusion with an adjacent laboratory. The included laboratories analysed 100% of the blood cultures sampled in the area. Hospital care was provided by Skåne University Hospital and surrounding regional hospitals.
Participants, study protocol and variables
We identified 292 unique individuals with P. aeruginosa bacteraemia. Recurrent cases were only included once. Incidence rates were calculated using yearly population data collected from Statistics Sweden [21]. Microbiological culture data were collected from the laboratory’s records (wwLab; Autonik, Sköldinge, Sweden). Data on susceptibility and concurrent infections were collected, as were the time and date of preliminary and definitive culture results. Clinical data were collected from the hospital patient records (Melior; Siemens Healthcare Services, Upplands Väsby, Sweden). Thirty-day mortality was analysed as the outcome variable for all study cases (n = 292), as presented graphically in Fig. 1. Patients with available hospital medical records were included for correlations with comorbidities (n = 235). Sixteen patients had incomplete medication charts and were excluded from correlations with treatments (n = 219). Missing data were missing at random, with more missing records during the first years of the study, gradually decreasing over the study period. Randomness was controlled by comparing sex and age for missing and non-missing files. All recorded clinical variables and healthcare-related data are presented in the supplementary data, Table A1. The Charlson comorbidity index (CCI) was calculated to estimate the level of illness prior to the current bacteraemia (supplementary data, Table A2) [22]. Compound variables included pulmonary disease [chronic obstructive pulmonary disease (COPD), pulmonary fibrosis, asthma and cystic fibrosis] and heart disorder (congestive heart failure, ischaemic heart disease, cardiac arrhythmia and heart valve disease).
Fig. 1
Patients included in this study. Flow chart summarising the number of cases in the present study and the reason for exclusion for some analyses
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Microbiological definitions and methods
Pseudomonas aeruginosa bacteraemia was defined as the isolation of the bacterial species in a blood culture collected from a patient at a hospital out-patient unit, a hospital ward or an emergency department using standard aseptic techniques. The term ‘bacteraemia’ was considered to be equivalent to BSI. All samples were cultured using the automated BacT/ALERT system (bioMérieux, Marcy l’Etoile, France). Isolates were identified by typical characteristics on agar plates and biochemical tests. Antimicrobial resistance was determined by disc diffusion on Mueller–Hinton agar plates, Etests (Biodisk, Solna, Sweden) or Vitek (bioMérieux) and subjected to antimicrobial susceptibility testing according to guidelines from the European Committee on Antimicrobial Susceptibility Testing (EUCAST) [23]. Physicians were notified when preliminary results on positive blood cultures were available.
Antimicrobial treatment
Empiric therapy was defined as antimicrobial therapy administered from 8 h before sampling of the initial blood culture to the time the preliminary culture result was available. Antimicrobial treatment was classified as antipseudomonal if it included any of the following: ceftazidime, imipenem, meropenem, ciprofloxacin, piperacillin, colistin or combinations including gentamicin or tobramycin. Definitive therapy was defined as antimicrobial therapy given after preliminary or final culture results. Administered antimicrobials were compared with obtained antibiograms and classified as adequate if the bacterium was susceptible to the given drug in question.
Statistical analysis
All data were entered into an Excel spreadsheet (Microsoft, Redmond, WA) and exported to SPSS Statistics version 23 (IBM, Armonk, NY) and Stata 14 (StataCorp, College Station, TX) for statistical analysis. Graphs were drawn in Prism 6 (GraphPad, La Jolla, CA). The results were expressed as median and interquartile range for continuous variables and as frequencies and percentages for categorical variables. Two-tailed p-values were calculated with Wilcoxon’s and Fisher’s exact test and values ≤0.05 were considered statistically significant. Odds ratios (ORs) were determined in the univariate analysis and presented with 95% confidence intervals (CIs). The adjusted OR for mortality was determined in a multivariate logistic regression model. We used stepwise backward selection to create the multivariable model in which all variables with p-values of ≤0.1 were entered, and variables with resulting p-values exceeding 0.2 were excluded. Age was stratified into categories, with 18–49 years as the index. A propensity score-adjusted analysis was performed that included the following covariates: age, sex, pulmonary, cardiovascular, renal, hepatic, neurological and malignant comorbidities, together with healthcare indicators: catheters, surgery, intensive care and coinfections. The propensity scores of receiving ciprofloxacin as combination therapy as well as monotherapy were each introduced into separate logistic regression models using ciprofloxacin treatment as a binary regression variable.
Results
The incidence of P. aeruginosa BSI increases with high age and male sex
The average annual incidence rate of P. aeruginosa bacteraemia was 8.0 [standard deviation (SD) ± 1.22] cases per 100,000 adult inhabitants. The median age of the study cases was 74 years, well above the median age of the adult population (47 years, Fig. 2a) and the calculated incidence rate was highest for the oldest age groups (age ≥80 years: 31.0/100,000 adult inhabitants). As seen in previous studies, the incidence was higher for males than females (Fig. 2b) [5]. The most common infection focus was the urinary tract (94/235, 40.7%), followed by the respiratory tract (42/235, 18.2%), wounds (38/235, 16.5%) and intravenous catheters (9/235, 3.9%). The remaining individuals (48, 20.8%) had unknown infection site. Urinary tract focus was more common among men (males 77/159, 49.3% vs. females 17/75, 22.6%, p < 0.001) and most men with this focus had had a urinary catheter for more than one week (51/77, 66.2% vs. other foci 18/61, 22.8%, p < 0.001). During the first five years of the study, a yearly increase was seen in incident cases. This trend, however, ceased in 2010 and, in total, we could not observe any significant change in incidence rate, although the number of analysed blood cultures increased throughout the study period (Fig. 2c).
Fig. 2
Pseudomonas aeruginosa bacteraemia incidence increases with age. Incident cases of P. aeruginosa bacteraemia were older (a, bars, left y-axis) than the population in Skåne County (a, curve, right y-axis). In all age groups, the incidence of P. aeruginosa bacteraemia was higher among males than females and increased with higher age (b). No increase in incidence was seen over the entire study period (c, left y-axis), even though the number of analysed blood cultures increased (c, right y-axis)
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Comorbidities, high age and respiratory tract focus correlate to increased mortality
The overall 30-day mortality for the study population was 22.9% (67/292). As expected, the surviving population was younger (mean age 69.8 vs. 74.4 years, p = 0.02). Basic demographic data, comorbidities and healthcare-related data of all included patients are presented in Table 1. To assess the effect of multiple comorbidities, we calculated the CCI from age and comorbidities. The CCI and selected variables were correlated to 30-day mortality in univariate and multivariate regression analysis (Table 2). Females had a higher mortality rate than males (adj. p = 0.006) and a higher CCI correlated strongly to higher 30-day mortality (survivors mean CCI 6.9 vs. non-survivors 8.5, p = 0.002). Pulmonary, haematological or metastatic malignant diseases were significantly associated with high 30-day mortality, whereas recent chemotherapy or diabetes mellitus correlated with lower 30-day mortality. Infection focus in the respiratory tract was associated with higher mortality and urinary tract infection or the presence of a urinary catheter with lower mortality. Coinfection with other pathogens was detected in 90 (31%) cases. The most common copathogens were Enterobacteriaceae but also a diverse flora of enterococci, staphylococci and anaerobes were recorded. Coinfections were associated with increased 30-day mortality (p = 0.02). Nosocomial infection defined as being a resident at a nursing home or being hospitalised for more than one week before blood culture was not associated with increased mortality rates.
Table 1
Basic demographic data of cases in this study
Characteristic
Male (n = 159)
Female (n = 76)
Age
74 (63–80)
74 (63–83)
Charlson score
7 (5–9)
6 (5–9)
Pulmonary disease*
34 (21.4)
15 (19.7)
COPD
17 (10.7)
7 (9.2)
Cystic fibrosis
1 (0.6)
0 (0.0)
Heart disorder*
62 (39.0)
25 (32.9)
Peripheral vascular disease
40 (25.2)
15 (19.7)
Vascular graft
11 (6.9)
4 (5.3)
Diabetes mellitus
50 (31.4)
22 (28.9)
Renal failure
36 (22.6)
6 (7.9)
Chronic liver disease
4 (2.5)
4 (5.3)
Neurological paresis
4 (2.5)
0 (0.0)
Immunosuppression
35 (22.0)
17 (22.4)
Chemotherapy in the last 6 months
30 (18.9)
22 (28.9)
Solid malignancy
45 (28.3)
28 (36.8)
Metastasis
24 (15.1)
15 (19.7)
Haematological disease
26 (16.4)
10 (13.2)
Neutropaenia
24 (15.1)
14 (18.4)
AIDS
1 (0.6)
0 (0.0)
Burn wounds
4 (2.5)
2 (2.6)
Urinary catheter >1 week
70 (44.0)
18 (23.7)
Hospitalised >1 week
58 (36.5)
24 (31.6)
Surgery in the last month
34 (21.4)
14 (18.4)
Resident at nursing home
26 (16.4)
7 (9.2)
Age for all cases (n = 292) and characteristics for cases with full medical records (n = 235). Continuous variables are expressed as median (interquartile range) and categorical variables as observed numbers (percentage). Compound variables are marked with *
Table 2
Thirty-day mortality correlated to selected characteristics
Characteristic (n = 292)
n
Died (%)
OR (95% CI)
p-value
adj. OR (95% CI)
adj. p-value
Male sex
201
40 (19.9)
0.59 (0.33–1.04)
0.07
0.35 (0.17–0.74)
0.006
Age 18–49 years
22
2 (9.1)
1.00
Age 50–59 years
36
6 (16.7)
2.00 (0.37–10.92)
0.42
2.72 (0.39–19.08)
0.31
Age 60–69 years
62
14 (22.6)
2.92 (0.61–14.03)
0.18
3.21 (0.51–20.03)
0.21
Age 70–79 years
83
20 (24.1)
3.17 (0.68–14.78)
0.14
3.58 (0.58–22.17)
0.17
Age ≥80 years
89
25 (28.1)
3.91 (0.85–17.95)
0.08
6.60 (1.13–38.49)
0.04
Comorbidity (n = 235)
Pulmonary disease
49
18 (36.7)
2.58 (1.29–5.14)
0.01
3.05 (1.34–6.94)
0.008
COPD
24
8 (33.3)
1.89 (0.76–4.69)
0.20
0.61 (0.16–2.37)
0.47
Cystic fibrosis
1
0 (0.0)
Heart disorder
87
22 (25.3)
1.33 (0.71–2.49)
0.42
1.50 (0.64–3.51)
0.35
Peripheral vascular disease
55
13 (23.6)
1.14 (0.56–2.34)
0.71
2.26 (0.96–5.30)
0.06
Vascular graft
15
1 (6.7)
0.24 (0.03–1.83)
0.20
0.18 (0.02–1.69)
0.13
Diabetes mellitus
63
9 (14.3)
0.49 (0.22–1.08)
0.08
0.46 (0.22–0.96)
0.04
Renal failure
42
10 (23.8)
1.12 (0.51–2.46)
0.84
1.96 (0.74–5.17)
0.18
Chronic liver disease
9
3 (33.3)
1.79 (0.43–7.40)
0.42
1.27 (0.22–7.21)
0.79
Neurological paresis
3
1 (33.3)
1.16 (0.12–11.36)
1.00
7.61 (0.45–128.36)
0.16
Immunosuppression
52
11 (21.2)
0.91 (0.43–1.93)
0.85
0.75 (0.26–2.18)
0.59
Chemotherapy in the last 6 months
52
12 (23.1)
1.05 (0.50–2.19)
1.00
0.21 (0.07–0.66)
0.007
Solid malignancy
73
20 (27.4)
1.55 (0.81–2.94)
0.23
0.99 (0.37–2.68)
0.98
Metastasis
39
14 (35.9)
2.33 (1.11–4.90)
0.03
7.12 (2.32–21.79)
0.001
Haematologic disease
42
11 (26.2)
1.63 (0.74–3.59)
0.28
5.47 (1.85–16.17)
0.002
Neutropaenia
38
11 (28.9)
1.51 (0.69–3.30)
0.30
1.33 (0.41–4.28)
0.63
AIDS
1
0 (0.0)
Burn wounds
6
2 (33.3)
1.77 (0.32–9.95)
0.62
4.08 (0.45–36.68)
0.21
Composite comorbidity score (n = 235)
Charlson score ≤4
44
4 (9.1)
1.00
Charlson score 5–8
119
27 (22.7)
2.93 (0.96–8.94)
0.06
2.91 (0.95–8.92)
0.06
Charlson score 9–12
49
13 (26.5)
3.61 (1.08–12.08)
0.04
3.67 (1.09–12.41)
0.04
Charlson score ≥13
21
8 (38.1)
6.15 (1.59–23.82)
0.009
7.05 (1.79–27.86)
0.005
Healthcare-related (n = 235)
Urinary catheter >1 week
88
18 (20.5)
0.87 (0.45–1.65)
0.75
1.09 (0.50–2.39)
0.82
Surgery last month
48
9 (18.8)
0.76 (0.34–1.69)
0.56
0.98 (0.38–2.51)
0.96
Hospitalised >1 week
82
20 (24.4)
1.21 (0.64–2.29)
0.62
1.61 (0.76–3.41)
0.22
Resident at nursing home
33
8 (24.2)
1.15 (0.48–2.72)
0.82
1.16 (0.41–3.32)
0.78
Polymicrobial infection
90
22 (24.4)
1.13 (0.62–2.02)
0.68
2.52 (1.18–5.40)
0.02
Origin of infection (n = 235)
Urinary tract
82
12 (14.6)
0.37 (0.18–0.75)
0.005
0.28 (0.12–0.65)
0.003
Respiratory tract
44
17 (38.6)
2.81 (1.38–5.70)
0.003
2.81 (1.13–7.01)
0.03
Wound
38
12 (31.6)
1.81 (0.84–3.90)
0.13
1.99 (0.81–4.92)
0.13
Central venous catheter
9
0 (0.0)
Other/unknown
50
11 (22.0)
0.99 (0.47–2.11)
0.98
1.16 (0.47–2.83)
0.75
Patient characteristics correlated to 30-day mortality and presented with odds ratio (OR), adjusted odds ratio (adj. OR) and 95% confidence interval (95% CI). The multivariable model contained age, sex, pulmonary disease, vascular graft, peripheral vascular disease, chemotherapy in the last 6 months, haematological diseases including malignancies, metastasis, diabetes mellitus and neurological paresis. Significant values are in bold font
Antimicrobial resistance against P. aeruginosa did not increase during the study period
Antimicrobial resistance was generally low for the studied bacterial strains compared to previous studies. Imipenem resistance was 6.8%, meropenem 6.3%, piperacillin–tazobactam 6.2%, tobramycin 0.7%, ceftazidime 5.5% and ciprofloxacin 10.0%. Except for a peak in meropenem resistance in 2008, the antimicrobial resistance did not increase during the study period (supplementary data, Table A3). In univariate correlations, only meropenem resistance was associated with increased 30-day mortality (6 fatalities from 13 cases, 46.2%, p = 0.033).
Empiric antimicrobial treatment and importance for mortality
Of the 219 patients with complete medication charts, almost all patients (93.2%) received antimicrobial treatment after cultures were drawn. In 47.5%, adequate empirical antimicrobial agents were given according to the antibiograms. The most common empiric treatment was cefotaxime (36.5%), followed by tobramycin (18.3%) and piperacillin (16.9%). The empiric use of any other antimicrobial was less than 10%. The administration of tobramycin was, in all cases, combined with another antimicrobial. Monotherapy was given to 125 patients (57.1%) and 79 patients received combination therapy (36.1%).
The choice of empiric treatment was associated with 30-day mortality in our cohort in direct correlations and when entered into a multivariable regression model (Table 3, upper section). Treatment with any effective antipseudomonal significantly decreased the 30-day mortality to 15.4% (adj. p = 0.03). In contrast, an increased 30-day mortality (53.3%; adj. p = 0.01) was observed when antimicrobials were not administered. Forty cases (18.2%) received empiric combination treatment including tobramycin, which did not decrease the mortality rate compared to monotherapy. Only five cases (2.3%) received empirical combination therapy including ciprofloxacin.
Table 3
The antimicrobial treatment choice influences 30-day mortality
30-Day mortality, empirical treatment (n = 219)
n
Died (%)
OR (95%)
p-value
adj. OR (95% CI)
adj. p-value
Cefotaxime or cefuroxime
100
23 (23.0)
1.06 (0.56–2.00)
0.87
0.68 (0.31–1.49)
0.34
Benzylpenicillin
8
4 (50.0)
3.51 (0.85–14.42)
0.08
3.09 (0.52–18.38)
0.22
Imipenem or meropenem
34
5 (14.7)
0.55 (0.20–1.51)
0.25
0.84 (0.23–3.12)
0.79
Piperacillin–tazobactam
37
7 (18.9)
0.78 (0.32–1.90)
0.58
0.61 (0.20–1.89)
0.39
Ciprofloxacin
11
1 (9.1)
0.33 (0.04–2.64)
0.30
0.57 (0.06–5.56)
0.63
Combination including tobramycin
40
10 (25.0)
1.20 (0.54–2.66)
0.66
1.10 (0.39–3.11)
0.85
Any other combination
39
6 (15.4)
0.58 (0.23–1.48)
0.30
0.40 (0.13–1.27)
0.12
No empirical antibiotic treatment
15
8 (53.3)
4.52 (1.55–13.20)
0.007
5.84 (1.43–23.84)
0.01
Adequate antipseudomonal treatment
104
16 (15.4)
0.45 (0.23–0.88)
0.02
0.37 (0.16–0.89)
0.03
30-Day mortality, definitive treatment (n = 203)
n
Died (%)
OR (95% CI)
p-value
adj. OR (95% CI)
adj. p-value
Cefotaxime or cefuroxime
10
4 (40.0)
3.93 (1.04–14.81)
0.043
5.59 (0.94–33.35)
0.06
Imipenem or meropenem
43
5 (11.6)
0.65 (0.23–1.80)
0.41
1.26 (0.35–4.49)
0.73
Piperacillin–tazobactam
67
11 (16.4)
1.05 (0.47–2.32)
1.00
1.07 (0.40–2.87)
0.89
Ceftazidime
21
1 (4.8)
0.24 (0.03–1.88)
0.18
0.19 (0.02–1.91)
0.16
Ciprofloxacin, monotherapy
25
2 (8.0)
0.43 (0.10–1.92)
0.27
0.32 (0.06–1.83)
0.20
Combination including ciprofloxacin
78
5 (6.4)
0.25 (0.09–0.68)
0.006
0.16 (0.05–0.55)
0.003
Combination including tobramycin
35
4 (11.4)
0.65 (0.21–1.97)
0.44
1.23 (0.31–4.91)
0.77
Adequate antipseudomonal treatment
174
20 (11.5)
0.17 (0.07–0.41)
<0.001
0.17 (0.05–0.62)
0.007
The effect of empiric and definitive antimicrobial treatment on 30-day mortality. Correlations to 30-day mortality presented as odds ratio (OR) with 95% confidence interval (95% CI) and p-values. The multivariable model contained age, sex, lung disease, vascular graft, peripheral vascular disease, chemotherapy in the last 6 months, metastasis, haematological disease, diabetes mellitus and neurological paresis, coinfections, treatment in the intensive care unit, tracheal intubation and urinary catheter. Significant adjusted p-values are in bold. Treatment regimens given to less than five patients are not shown in this table
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Definitive antimicrobial therapy with ciprofloxacin combinations increases survival
Sixteen patients (7.3%) died before any culture results were available. All surviving patients (n = 203) were administered definitive antimicrobial treatment following positive blood culture results with P. aeruginosa. The majority of cases (174; 85.7%) were given an effective antipseudomonal treatment. Preliminary culture results were provided for 93.1% and the mean time to preliminary culture result was 1.96 days (SD ± 1.19) and 3.68 days (SD ± 1.63) to final results. More than half were treated with ciprofloxacin (50.7%), as a part of a combination therapy (38.4%) or as monotherapy (12.3%). Piperacillin–tazobactam was given to 33.0%, carbapenem to 21.2%, tobramycin to 17.2% and, finally, ceftazidime to 10.3% of the cases. Other antimicrobial regimens were administered to less than 10% of patients.
The choice of an adequate definitive antipseudomonal treatment matching the antibiogram significantly decreased 30-day mortality (adj. p = 0.007) when analysed in our multivariable regression model (Table 3; lower section). Targeted monotherapy was not significantly associated with decreased 30-day mortality, whereas inadequate treatment with cefotaxime or cefuroxime as monotherapy increased mortality up to 40% (4/10).
In contrast to any individual monotherapy, definitive combination therapy with ciprofloxacin decreased the 30-day mortality (adj. p = 0.003), whereas combinations including tobramycin did not affect the mortality. To disclose involuntary selection bias in the group receiving ciprofloxacin, a propensity score was calculated. The effect of the addition of ciprofloxacin was independent of confounders (age, sex, comorbidities and intensive care treatment, as well as choice of antimicrobial agent). With the available covariates, we did not find any evidence of selection bias to any of the ciprofloxacin/no ciprofloxacin groups. Propensity score-adjusted analyses did not change the effect on mortality for ciprofloxacin combination therapy (propensity score-adjusted OR 0.16, 95% CI 0.05–0.53, p = 0.003 vs. OR 0.16, 95% CI 0.05–0.53, p = 0.003). For ciprofloxacin monotherapy, the association remained non-significant (propensity score-adjusted OR 0.59, 95% CI 0.04–9.9, p = 0.72 vs. OR 0.32, 95% CI 0.06–1.83, p = 0.20). The lower mortality associated with ciprofloxacin combination therapy was independent of age, CCI and origin of infection (Fig. 3a–c). Importantly also, patients in intensive care units that were treated with ciprofloxacin had a lower 30-day mortality than those receiving other antimicrobials (0 dead of 9 treated: 0% vs. other: 7/19, 36.8%, adj. p = 0.035).
Fig. 3
Ciprofloxacin-treated cases had a lower 30-day mortality. Thirty-day mortality rates in percent after treatment with ciprofloxacin or other antimicrobial drug as definitive therapy when culture results were available. The results were stratified by age groups (a), comorbidity as defined by the Charlson comorbidity index (CCI) (b) or infection focus (c)
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Discussion
In this retrospective cohort study, we provide evidence that the choice of antimicrobial treatment affected the 30-day mortality in patients suffering from P. aeruginosa bacteraemia. Despite the average time to culture results being as short as 48 h, inadequate empiric antimicrobial treatment on admission negatively affected mortality rates. Similarly, inadequate definitive treatment after blood culture results was also associated with higher mortality rates. Particularly, definitive combination treatment that included ciprofloxacin favourably affected the 30-day mortality.
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In total, we identified 292 patients with P. aeruginosa bacteraemia between 2005 and 2012. The overall 30-day mortality in this study was 22.9% and the annual incidence was 8 per 100,000 inhabitants, with higher rates among men and with increasing age. This was in line with previous studies, which have reported 30-day mortality rates ranging from 23% to 36.5% and incidence rates in the range 3.6–10.8 cases per 100,000 inhabitants and year [1, 3‐8]. The incidence was higher for males than females, which was accounted for by the higher incidence among males with urinary catheter. Although the number of blood cultures steadily increased during the study period, no increase in the incidence of P. aeruginosa bacteraemia was seen over the entire study period. However, in parallel to the increase reported in the UK, the incidence rate in our study rose between 2005 and 2009 [1]. The explanation for the rising incidence during the first several years of the study and the concurrent increase in the UK is, at present, unclear and no epidemiological link is known.
The importance of correct empiric therapy on admission has been debated and, in the present study, the initial antimicrobial choice was important, as patients who received adequate antipseudomonal treatment had significantly lower mortality rates [3, 17, 24]. No individual empirical antimicrobial monotherapy or combination therapy was associated with changes in mortality. The large number of different administered antimicrobials resulted in low statistical power for all but the most commonly used drugs and only five patients received empirical ciprofloxacin combination treatment.
After positive blood cultures with P. aeruginosa, adequate definitive antipseudomonal treatment decreased the 30-day mortality. In contrast to ciprofloxacin combinations, combination therapy including tobramycin was not superior to monotherapy, similarly to that previously reported [20]. To find the potential influence of selection bias on our results, a propensity score was calculated to ensure comparability of the cohort receiving ciprofloxacin and those receiving other treatments, but no such bias could be identified. A few previous studies have investigated whether combination therapy was favourable against P. aeruginosa bacteraemia. For example, Kim et al. showed that adequate combination therapy of any sort was beneficial for a subgroup of bacteraemic patients with febrile neutropaenia [18]. Peña et al. reported, however, that the choice between combination therapy and single-drug therapy did not affect outcome [17]. Furthermore, in a recent meta-analysis focusing on empiric treatment, no difference in mortality was seen between the study groups, but in contrast to the present investigation, no analysis was made separately for aminoglycoside and ciprofloxacin combination therapy [19]. Our results are supported by DiMondi et al., who investigated the short-term outcome of bacteraemia and pneumonia; ciprofloxacin combinations comprised 90% of the combination therapies that were associated with favourable outcome [16]. Both beta-lactams and ciprofloxacin are highly efficient against P. aeruginosa in vitro. The reason for the favourable outcome for ciprofloxacin combination-treated patients in the present study is unknown. Combination therapy broadens the antimicrobial spectrum and synergy between antimicrobial drugs has been described, but synergy between ciprofloxacin and beta-lactams has not been reported [25].
In our cohort, 10.0% of the bacterial strains had reduced susceptibility for ciprofloxacin. This should be compared to three BSI studies from the USA that reported varying resistance levels (range 4.7–31%), with the highest levels from Maryland, where a majority of cases had been hospitalised for more than three days at inclusion [3, 4, 24]. Local knowledge of resistance levels is important, but it may be difficult to derive current resistance levels from surveillance programmes, as BSI may not be reported and, often, bacteraemia-causing bacteria are more susceptible. For comparison, the fluoroquinolone resistance in Skåne County of P. aeruginosa bacteraemia strains was 9.8% in 2011, whereas in the same year, 88.1% of P. aeruginosa strains from the respiratory tract of patients with CF were resistant to fluoroquinolones (unpublished data). Hence, combinations of antimicrobials including ciprofloxacin may be the most effective antipseudomonal treatment against bacteraemia, but the results are not, however, generalisable to pneumonia.
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Patients suffering from BSI were of higher age than the general population and had multiple comorbidities, which also correlated to higher 30-day mortality, as did pulmonary disease (and infectious foci in the respiratory tract), malignant disease with metastasis and haematological malignancies. As inadequate antimicrobial therapy increased mortality, the likelihood of P. aeruginosa BSI should be considered at the choice of empiric antimicrobial therapy. Not all septic patients need empiric antipseudomonal treatment at admission, but it could be considered for patients with increased risk of Pseudomonas bacteraemia and with high risk of mortality. In addition to critically ill patients, these results suggest that patients with neoplasia and the elderly with multiple comorbidities could be eligible for such treatment. However, laboratory tests in vitro have shown that the use of ciprofloxacin at sub-MIC concentrations lead to bacterial mutations, causing resistance against both ciprofloxacin and beta-lactam antimicrobials [26]. Hence, any decisions to use ciprofloxacin should be made wisely in order to limit further resistance development and monotherapy with ciprofloxacin should probably be avoided.
Our study cohort had a minimised population selection bias and, consequently, allowed for observation of, in total, 4.2 million adult person-years. The records at the microbiology laboratories allowed us to identify every occurrence of P. aeruginosa bacteraemia. This population-based approach allowed for a valid analysis of the incidence rate. We were not able to use a scoring system for severity of disease; instead this was determined by treatment at an intensive care unit. In the future, a prospective randomised interventional study to examine the effects of treatment regimens would be of high value, although the relative infrequency of P. aeruginosa bacteraemia would make this challenging in practice. An alternative would be a larger retrospective trial with emphasis on markers of acute severe disease.
In conclusion, this study gives an indication that P. aeruginosa bacteraemia should be treated with definitive antimicrobial drug combination regimens including ciprofloxacin when susceptible. Inadequate empiric antipseudomonal treatment on admission or inadequate definitive therapy after notification of positive blood cultures was associated with increased mortality. These results are of particular importance to those at the greatest risk for P. aeruginosa bacteraemia, the elderly patients with multiple comorbidities and patients with malignancy. Appropriate antipseudomonal treatment should be considered for these patients as early as possible to minimise the risk of death.
Acknowledgements
This work was supported by grants from the Anna and Edwin Berger Foundation, the Physiographical Society (Forssman’s Foundation), Swedish Medical Research Council (grant number K2015-57X-03163-43-4, http://www.vr.se) and Skåne County Council’s Research and Development Foundation.
Compliance with ethical standards
Conflict of interest
Dr Jonas Ahl has received speaker honorarium from Pfizer, AstraZeneca, Meda and MSD, and research grants from Pfizer for a study not related to the present work. All remaining authors declare that they have no conflicts of interest.
Ethical approval
Informed consent was not relevant to this retrospective study according to the Regional Ethical Review Board in Lund, Sweden, who granted approval of the present study (Dnr 2014/10).
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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Antimicrobial combination treatment including ciprofloxacin decreased the mortality rate of Pseudomonas aeruginosa bacteraemia: a retrospective cohort study
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M. Paulsson A. Granrot J. Ahl J. Tham F. Resman K. Riesbeck F. Månsson
