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Erschienen in: Critical Care 1/2017

Open Access 01.12.2017 | Research

Timing of appropriate empirical antimicrobial administration and outcome of adults with community-onset bacteremia

verfasst von: Ching-Chi Lee, Chung-Hsun Lee, Ming-Yuan Hong, Hung-Jen Tang, Wen-Chien Ko

Erschienen in: Critical Care | Ausgabe 1/2017

Abstract

Background

Early administration of appropriate antimicrobials has been correlated with a better prognosis in patients with bacteremia, but the optimum timing of early antibiotic administration as one of the resuscitation strategies for severe bacterial infections remains unclear.

Methods

In a retrospective cohort study, adults with community-onset bacteremia at the emergency department (ED) were analyzed. Effects of different cutoffs of time to appropriate antibiotic (TtAa) administration after arrival at the ED on 28-day mortality were examined, after adjustment for independent predictors of mortality identified by multivariate regression analysis.

Results

Among 2349 patients, the mean (interquartile range) TtAa was 2.0 (<1 to 12) hours. All selected cutoffs of TtAa, ranging from 1 to 96 hours, were significantly associated with 28-day mortality (adjusted odds ratio (AOR), 0.54–0.65, all P < 0.001), after adjustment of the following prognostic factors: fatal comorbidities (McCabe classification), critical illness (Pitt bacteremia score (PBS) ≥4) on arrival at the ED, polymicrobial bacteremia, extended-spectrum beta-lactamase-producer bacteremia, underlying malignancies or liver cirrhosis, and bacteremia caused by pneumonia or urinary tract infections. The adverse impact of TtAa on 28-day mortality was most evident at the cutoff of 48 hours, as the lowest AOR was identified (0.54, P < 0.001). In subgroup analyses, the most evident TtAa cutoff (i.e., the lowest AOR) remained at 48 hours in mildly ill (PBS = 0; AOR 0.47; P = 0.04) and moderately ill (PBS = 1–3; AOR 0.55; P = 0.02) patients, but shifted to 1 hour in critically ill patients (PBS ≥4; AOR 0.56; P < 0.001).

Conclusions

The time from triage to administration of appropriate antimicrobials is one of the primary determinants of mortality. The optimum timing of appropriate antimicrobial administration is the first 48 hours after non-critically ill patients arrive at the ED. As bacteremia severity increases, effective antimicrobial therapy should be empirically prescribed within 1 hour after critically ill patients arrive at the ED.
Abkürzungen
AOR
Adjusted odds ratio
CI
Confidence interval
CLSI
Clinical and Laboratory Standards Institute
ED
Emergency department
EKP
Escherichia coli, Klebsiella species, and Proteus mirabilis
ESBL
Extended-spectrum beta-lactamase
ICUs
Intensive care units
OR
Odds ratio
PBS
Pitt bacteremia score
SSC
Surviving Sepsis Campaign
TtAa
Time to appropriate antibiotic

Background

Despite improvements in hemodynamic support and antibiotic therapy, bacteremia is still associated with high morbidity and mortality, which contribute substantially to healthcare costs [1]. Community-onset bacteremia, with an annual incidence of 0.82% in a population-based study [2], is a common problem for clinicians. In addition to early establishment of vascular access, fluid resuscitation, and removal of infection source, particularly in critically ill patients, antimicrobial therapy has been regarded as one of the mainstays of bacteremia treatment [3]. Although most investigations have concluded that early administration of appropriate antimicrobials could be linked to a favorable prognosis in the individuals with bacteremia [47], several studies have not identified the survival benefit of early appropriate antimicrobial therapy [8, 9]. Furthermore, the timing of the first dose of appropriate antibiotics remains a controversial point, and thus appropriate empirical antimicrobial therapy has been defined as the interval between bacteremia onset and antimicrobial administration, ranging widely from <24 hours to <48 hours in previous reports [7, 10, 11]. To our knowledge, the Surviving Sepsis Campaign (SCC) “International guidelines for the management of severe sepsis and septic shock” recommend that an appropriate antimicrobial therapy be administered within the first 1 hour of recognition of severe sepsis or septic shock [3]. However, focusing on patients with bacteremia, the question “what priority is early enough for appropriate antibiotic administration?” has been debated. Therefore, to describe the beneficial effects of appropriate empirical antimicrobial administration on clinical outcome and to further achieve the “optimum timing” of appropriate antimicrobial administration, we compared the outcome impact of different time cutoffs from emergence department (ED) triage to appropriate antimicrobial administration for adults with community-onset bacteremia.

Methods

Study design

This retrospective cohort study was conducted from January 2008 to December 2013 at the ED of a medical center in southern Taiwan. The study hospital is a 1200-bed, university-affiliated medical center with an annual ED census of approximate 70,000 patients. The study was reported by the format recommended by the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement; partial clinical information on this study cohort has been published [1013].
During the study period, the blood cultures sampled at the ED were screened for bacterial growth by a computer database. Clinical information on adults with bacteremia was retrieved from medical charts. In the patients with multiple episodes of bacteremia, only the first episode of each patient was included. Patients were excluded if they had hospital-onset bacteremia, contaminated blood cultures, bacteremia diagnosed prior to visiting the ED, inappropriate dosage or route of antimicrobial administration during all hospitalization, or incomplete clinical information.

Data collection

A predetermined form was used to collect demographic and clinical characteristics, including age, vital signs on arrival at the ED, comorbidities, type of antimicrobial agents administered and duration of administration, bacteremia source, length of hospital stay, bacteremia severity (Pitt bacteremia score (PBS)) on arrival at the ED, comorbidity severity (McCabe classification), and patient outcome. Of all eligible patients, information was retrieved by retrospective review of medical charts, which was done by two authors, and any discrepancy was resolved by discussion between the authors. The primary endpoint was crude mortality within 28 days after onset of bacteremia (arrival at the ED).

Definitions

Community-onset bacteremia indicates that the place of onset of the episode of bacteremia is the community, which includes long-term healthcare facility-acquired and community-acquired bacteremia, as previously described [11, 14]. Polymicrobial bacteremia was defined as the isolation of more than one microbial species from a single bacteremia episode. Blood culture samples with potentially contaminating pathogens were considered to be contaminated in accordance with the previous criteria [15].
As previously described [10, 11], the antimicrobial therapy was considered appropriate when all the following criteria were fulfilled: (1) the route and dosage of antimicrobial agents were administered as recommended in the Sanford Guide [16] and (2) the bacteremia pathogens were susceptible in vitro to the administrated antimicrobial agent based on the contemporary breakpoints of the Clinical and Laboratory Standards Institute (CLSI) [17]. The time to appropriate antibiotic (TtAa) measured in hours was defined as the period between the arrival at the ED (i.e., ED triage) and the administration of appropriate antimicrobials [18]. The bacteremia severity was graded according to the PBS using a previously validated scoring system based on vital signs, use of inotropic agents, mental status, receipt of mechanical ventilation, and cardiac arrest [11, 14]. Comorbidities were defined as described previously [19] and malignancies included hematological malignancies and solid tumors. The prognosis of preexisting diseases was assessed by a previous delineated classification system (McCabe classification) [20]. Bacteremia sources were determined clinically on the basis of the previous definitions [11]. Crude mortality was used to define death from all causes.

Microbiological methods

Blood cultures were incubated in a BACTEC 9240 instrument (Becton Dickinson Diagnostic Systems, Sparks, MD, USA) for 5 days at 35 °C. Bacteremia aerobic isolates were prospectively collected during the study period. The bacterial species was identified by means of the Vitek 2 system (bioMérieux, Durham, NC, USA), and antimicrobial susceptibility was determined by the disk diffusion method, based on the performance standards of CLSI in 2016 [17]. The tested drugs included ampicillin/sulbactam, piperacillin/tazobactam, cefazolin, cefuroxime, cefotaxime, ceftazidime, cefepime, ertapenem, imipenem, and levofloxacin. If the patient was empirically treated by other agents, the susceptibility of the indicated agent was measured. For Escherichia coli, Klebsiella species, and Proteus mirabilis (EKP), extended-spectrum beta-lactamase (ESBL) production was detected by the phenotypic confirmatory test with the cephalosporin-clavulanate combination disks recommended by the previous CLSI guidelines in 2009 [21].

Statistical analyses

Statistical analyses were performed using the Statistical Package for the Social Sciences for Windows (Version 20.0; Chicago, IL, USA). Clinical data, demographic data, severity, and patient outcomes were compared using the Fisher exact test or the Pearson chi-square test for categorical variables and the independent samples t test or the Mann–Whitney U test for continuous variables. To assess the independent predictors with adjusted odds ratios (AORs), the variables in the univariate analysis with a P value <0.05 were included in a stepwise and backward multivariable logistic regression model. Several TtAa cutoffs were selected: 1 hour, 6 hours, 12 hours, 24 hours, 48 hours, 72 hours, and 96 hours. Cox regression was used to study the impact of varied TtAa cutoffs on clinical outcomes after adjustment for independent risk factors for 28-day mortality.
As all available data were used to maximize the power, no sample size calculation was performed. As suggested, at least 8–10 events per variable are required for reliable multiple logistic regression analysis [22]. For missing data, a complete case analysis was conducted if the percentage of missing values was <5%. If the percentage of missing values was ≥5%, appropriate imputation was performed [23]. A two-tailed P value <0.05 was considered significant.

Results

Demographics and clinical characteristics of the patient cohort

Of 3934 patients with bacterial growth in blood cultures, 2349 adults with community-onset bacteremia were analyzed, after exclusion of 1503 adults with contaminated blood cultures, 66 with hospital-onset bacteremia or with bacteremia prior to arrival at the ED, 13 with an uncertain outcome within 28 days of onset of bacteremia, and 3 with inappropriate dosage or route of antimicrobial administration during all hospitalization. Among the 2349 eligible patients the mean age was 67.9 years and 1029 patients (51.5%) were male. The ten most common sources of bacteremia were urinary tract infections (748 patients, 31.1%), pneumonia (325 patients, 13.5%), intra-abdominal infections (312 patients, 13.0%), skin and soft-tissue infections (244 patients, 10.1%), biliary tract infections (220 patients, 9.2%), primary bacteremia (191 patients, 7.9%), bone and joint infections (92 patients, 3.8%), vascular-line infections (90 patients, 3.7%), liver abscess (79 patients, 3.3%), and infective endocarditis (71 patients, 3.0%).
The mean (interquartile range) length of ED stay was 19.6 (5.3–25.6) hours. Among the patients, 1829 (77.9%) were admitted to general wards and 324 (13.8%) to intensive care units (ICUs). The mean (interquartile range) length of hospital stay was 14.9 (6.1–17.0) days. There were 77 patients (3.3%) who died during the ED stay. There were 119 (5.1%) patients discharged from the ED and followed up in the outpatient clinics. The proportion of critically ill (PBS ≥4) and mildly ill (PBS = 0) patients at ED arrival was 20.3% (476 patients) and 26.9% (633), respectively. The overall 28-day crude mortality rate was 14.5% (340 patients).

Baseline characteristics of fatal and surviving patients

Univariate analyses were used to compare clinical variables among adults with fatal and surviving outcome (Table 1). Nursing-home residents, male gender, critical illness (PBS ≥4) on arrival at the ED, initial syndromes of severe sepsis or septic shock on arrival at the ED, fatal comorbidities (McCabe classification), polymicrobial bacteremia, K. pneumoniae, Pseudomonas species, or ESBL-producing EKP bacteremia, bacteremia pneumonia, underlying neurological diseases or liver cirrhosis, thrombocytopenia, or elevated serum levels of C-reactive protein were more frequently noted in patients who died. In contrast, E. coli bacteremia, bacteremia due to urinary tract infections, biliary tract infections, or liver abscess, or underlying hypertension, were more often present in survivors at 28 days after bacteremia onset.
Table 1
Patient demography, bacteremia severity, comorbidity severity, causative microorganisms, and laboratory data for adults with community-onset bacteremia, categorized by 28-day crude mortality
Variable
28-day Mortality, number of cases (%)
P value
Yes (n = 340)
No (n = 2009)
Age ≥65 years
223 (65.6)
1,227 (61.1)
0.11
Gender, male
205 (60.3)
1,004 (50.0)
<0.001
Nursing-home residents
42 (12.4)
91 (4.5)
<0.001
Severity-of-illness markers at arrival in the ED
 Pitt bacteremia score ≥4
217 (63.8)
259 (12.9)
<0.001
 Initial sepsis-related syndrome
   
 Severe sepsis
289 (85.0)
734 (36.5)
<0.001
 Septic shock
225 (66.2)
254 (12.6)
<0.001
Ultimately and rapidly fatal comorbidity (McCabe classification)
159 (46.8)
405 (20.2)
<0.001
Polymicrobial bacteremia
62 (18.2)
178 (8.9)
<0.001
Major causative microorganisms
Escherichia coli
88 (25.9)
880 (43.8)
<0.001
Klebsiella pneumoniae
77 (22.6)
277 (13.8)
<0.001
Staphylococcus aureus
53 (15.6)
259 (12.9)
0.18
Streptococcus species
45 (13.2)
237 (11.8)
0.45
Pseudomonas species
28 (8.2)
61 (3.0)
<0.001
 ESBL-producing EKP
27 (7.9)
52 (2.6)
<0.001
Major bacteremia sources
 Pneumonia
120 (35.3)
205 (10.2)
<0.001
 Urinary tract infection
39 (11.5)
709 (35.3)
<0.001
 Biliary tract infection
20 (5.9)
200 (10.0)
0.02
 Intra-abdominal infection
47 (13.8)
265 (13.2)
0.75
 Liver abscess
4 (1.2)
75 (3.7)
0.02
 Skin and soft-tissue infection
36 (10.6)
208 (10.4)
0.90
 Primary bacteremia
31 (9.1)
150 (7.5)
0.29
Major comorbidities
 Malignancy
159 (46.8)
500 (24.9)
<0.001
 Hypertension
140 (41.2)
978 (48.7)
0.01
 Diabetes mellitus
117 (34.4)
758 (37.7)
0.24
 Chronic kidney disease
58 (17.1)
361 (18.0)
0.69
 Neurological disease
95 (27.9)
427 (21.3)
0.006
 Liver cirrhosis
70 (20.6)
231 (11.5)
<0.001
Laboratory data on arrival at the ED
 Leukocytes (103/mm3)
14.8 ± 25.7
12.5 ± 7.2
0.11
 Platelet (103/mm3)
162.4 ± 123.1
199.4 ± 114.4
<0.001
 Serum creatinine (mg/dL)
2.4 ± 3.0
2.2 ± 15.3
0.76
 C-reactive protein (mg/L)
162.3 ± 147.5
113.8 ± 118.9
<0.001
ED emergency department, ESBL extended-spectrum beta-lactamase, EKP Escherichia coli, Klebsiella species, and Proteus mirabilis
All variables are expressed as number of cases (%), but laboratory data as mean ± standard deviation

Bacteremia isolates and susceptibility

Because of 240 (10.2%) events of polymicrobial bacteremia and 2109 monomicrobial bacteremia, a total of 2655 causative microorganisms from 2349 patients were collected. The ten leading microorganisms included E. coli (968, 36.5%), Klebsiella species (371, 14.0%), Staphylococcus aureus (312, 11.8%), Streptococcus species (289, 10.9%), Pseudomonas species (89, 3.4%), Enterococcus species (88, 3.3%), Proteus species (68, 2.6%), Salmonella species (59, 2.2%), Aeromonas species (45, 1.7%), and Enterobacter species (39, 1.5%). Overall, cefazolin or cefuroxime was active against 7.6–78.0% or 15.4–89.3% of varied Gram-negative aerobes, respectively. Levofloxacin, cefotaxime, ceftazidime, cefepime, or ertapenem was active against 84.3–100%, 86.1–96.6%, 86.1–96.6%, 94.4–100%, or 96.8–100%, respectively, of Gram-negative species, and imipenem was active against all Gram-negative aerobes. ESBL production was detected in 5.6% (79) of 1401 EKP isolates. Of 312 S. aureus isolates, 37.2% (116 isolates) were resistant to methicillin.

Predictors of 28-day mortality

The association between 28-day crude mortality and clinical variables, including age, sex, bacteremia severity, bacteremia source, comorbidity severity, causative microorganisms, and major comorbidities was examined by univariate analysis of 2349 adults. The following variables were positively associated with 28-day mortality: having male gender (odds ratio (OR) 1.52; P < 0.001), being resident in a nursing home (OR 2.97; P < 0.001), having ultimately or rapidly fatal comorbidities (McCabe classification; OR 3.48; P < 0.001), being critically ill (PBS ≥4; OR 11.92; P < 0.001) on arrival at the ED, having polymicrobial bacteremia (OR 2.29; P < 0.001), K. pneumoniae (OR 1.83; P < 0.001), Pseudomonas species (OR 2.87; P < 0.001), or ESBL-producing EKP (OR 3.25; P < 0.001) bacteremia, having bacteremia pneumonia (OR 4.80; P < 0.001), and having comorbidities with malignancies (OR 2.65; P < 0.001), neurological diseases (OR 2.00; P = 0.006), or liver cirrhosis (OR 1.44; P < 0.001). Furthermore, the following variables were negatively associated with 28-day mortality: being mildly ill (PBS = 0; OR 0.23; P < 0.001), having E. coli bacteremia (OR 0.45; P < 0.001), having bacteremia due to urinary tract infections (OR 0.24; P < 0.001), having biliary tract infection (OR, 0.57; P = 0.02) or liver abscess (OR 0.31; P = 0.02), and having comorbidities with hypertension (OR 0.74; P = 0.01). However, eight independent predictors were identified in the multivariate regression analysis (Table 2): being critically ill (PBS ≥4) on arrival at the ED, having ultimately or rapidly fatal comorbidities (McCabe classification), polymicrobial bacteremia, ESBL-producing EKP bacteremia, or bacteremia pneumonia, and preexisting malignancy or liver cirrhosis. One negative predictor was the presence of urinary tract infection as the source of bacteremia.
Table 2
Independent predictors of 28-day mortality in 2349 adults with community-onset bacteremia
Variables
AOR (95% CI)
P value
Critical illness (Pitt bacteremia score ≥4) on arrival at the ED
8.77 (6.43–11.97)
<0.001
Ultimately and rapidly fatal comorbidity (McCabe classification)
2.21 (1.48–2.92)
<0.001
Polymicrobial bacteremia
2.00 (1.35–2.97)
0.001
ESBL-producing EKP bacteremia
6.00 (3.11–11.55)
<0.001
Bacteremia source
 Pneumonia
2.08 (1.48–2.92)
<0.001
 Urinary tract infection
0.46 (0.25–0.84)
0.01
Comorbidity
 Malignancy
1.81 (1.30–2.50)
<0.001
 Liver cirrhosis
3.04 (1.19–3.97)
<0.001
AOR adjusted odds ratio, CI confidence interval, ED emergency department, ESBL extended-spectrum beta-lactamase, EKP Escherichia coli, Klebsiella species, and Proteus mirabilis

Impact of different TtAa cutoffs

Of 2349 patients with community-onset bacteremia, the mean (interquartile range) TtAa was 2.0 (<1 to 12) hours. The majority (1663 patients, 70.8%) were treated by appropriate antimicrobials within 1 hour of arrival at the ED (Table 3). All selected TtAa cutoffs, ranging from 1 hour to 96 hours, had prognostic significance (P < 0.001). In other words, those receiving appropriate antibiotics within the cutoff had a lower mortality rate than those treated by appropriate antibiotics after the cutoff time. The associated AORs ranged from 0.54 to 0.65. Of importance, the lowest AOR (0.54) was evidenced in the TaAa cutoff of 48 hours.
Table 3
Critical illness, fatal comorbidities, and 28-day mortality rates among adults with community-onset bacteremia
TtAa cutoffs (number of cases)
Percentage (number of cases)
28-day Mortality rate (number of cases)
Univariate analysis
Cox regression
Critical illnessa
Fatal comorbidity
OR (95% CI)
P value
AOR (95% CI)b
P value
1 hour
 ≤1 (n = 1663)
16.5 (275)
22.4 (373)
10.3 (172)
0.36 (0.28–0.45)
<0.001
0.57 (0.46–0.71)
<0.001
 >1 (n = 686)
29.3 (201)
27.8 (191)
24.5 (168)
6 hours
 ≤6 (n = 1736)
19.0 (329)
23.1 (401)
12.0 (208)
0.50 (0.39–0.63)
<0.001
0.65 (0.51–0.82)
<0.001
 >6 (n = 613)
24.0 (147)
26.6 (163)
21.5 (132)
12 hours
 ≤12 (n = 1760)
19.4 (341)
23.4 (412)
12.3 (216)
0.53 (0.41–0.67)
<0.001
0.65 (0.52–0.83)
<0.001
 >12 (n = 589)
22.9 (135)
25.8 (152)
21.1 (124)
24 hours
 ≤24 (n = 1,853)
19.8 (367)
23.5 (436)
12.6 (234)
0.53 (0.41–0.69)
<0.001
0.62 (0.48–0.79)
<0.001
 >24 (n = 496)
22.0 (109)
25.8 (128)
21.4 (106)
48 hours
 ≤48 (n = 1,917)
19.8 (380)
23.5 (450)
12.5 (240)
0.48 (0.37–0.62)
<0.001
0.54 (0.43–0.71)
<0.001
 >48 (n = 432)
22.2 (96)
26.4 (114)
23.1 (100)
72 hours
 ≤72 (n = 1,981)
19.5 (387)
23.4 (463)
12.6 (249)
0.44 (0.33–0.57)
<0.001
0.55 (0.43–0.71)
<0.001
 >72 (n = 368)
24.2 (89)
27.4 (101)
24.7 (91)
96 hours
 ≤96 (n = 2,061)
19.4 (400)
23.5 (484)
12.8 (264)
0.41 (0.31–0.55)
<0.001
0.56 (0.44–0.72)
<0.001
 >96 (n = 288)
26.4 (76)
27.8 (80)
26.4 (76)
The significance of the effects of different cutoffs of the time to appropriate antibiotic (TtAa) on 28-day mortality were examined by univariate and Cox regression analyses. OR odds ratio, CI confidence interval, AOR adjusted odds ratio. aPitt bacteremia score ≥4 on arrival at the emergency department. bAdjusted for independent predictors of 28-day mortality recognized in the multivariate regression: critical illness; a fatal comorbidity (McCabe classification); polymicrobial bacteremia; Extended-spectrum beta-lactamase-producing bacteremia; bacteremia because of pneumonia or urinary tract infections; and underlying malignancy or liver cirrhosis

Impact of different TtAa cutoffs on patients with different severity of bacteremia

According to the severity of bacteremia on arrival at the ED, all patients were categorized into three groups: mildly ill (PBS = 0; 633 patients, 26.9%), moderately ill (PBS = 1–3; 1240 patients, 52.8%), and critically ill (PBS ≥4; 476 patients, 20.2%), as shown in Table 4. In mildly ill patients, after adjustment of independent predictors of 28-day mortality, only the TtAa cutoff of 48 hours (AOR = 0.47; P = 0.04) was significantly associated with 28-day mortality (Fig. 1a). Similarly, in moderately ill patients, three TtAa cutoffs (1 hour, 24 hours, and 48 hours) were significantly related to 28-day mortality, and the lowest AOR (0.55) was noted for the TtAa cutoff of 48 hours (Fig. 1b). Focusing on critically ill patients, all TtAa cutoffs were linked to 28-day mortality and the lowest AOR (0.56) was identified for the TtAa cutoff of 1 hour (Fig. 1c).
Table 4
Impact of different cutoffs for the time-to-appropriate antibiotic (TtAa) on 28-day crude mortality in adults categorized by Pitt bacteremia score (PBS) on arrival at the emergency department
TtAa (hours)
Mortality rate (%)
Univariate analysis
≤ TtAa
> TtAa
OR (95% CI)
P value
Mildly ill (PBS = 0, n = 633)
 1
3.6
8.4
0.41 (0.20–0.85)
0.01
 6
3.6
8.8
0.39 (0.19–0.80)
0.008
 12
3.8
8.3
0.43 (0.21–0.90)
0.02
 24
3.7
9.1
0.38 (0.18–0.80)
0.008
 48
3.6
10.2
0.33 (0.16–0.69)
0.002
 72
3.8
10.5
0.34 (0.16–0.73)
0.004
 96
4.4
8.5
0.48 (0.20–1.17)
0.10
Moderately ill (PSB = 1–3, n = 1240)
 1
6.0
11.6
0.48 (0.31–0.75)
0.001
 6
6.3
10.7
0.56 (0.36–0.88)
0.01
 12
6.3
11.1
0.54 (0.34–0.84)
0.006
 24
6.3
11.9
0.50 (0.32–0.80)
0.003
 48
6.3
13.0
0.45 (0.28–0.73)
0.001
 72
6.6
12.6
0.49 (0.29–0.81)
0.005
 96
6.8
13.1
0.48 (0.28–0.84)
0.009
Critical ill (PBS ≥4, n = 476)
 1
36.4
58.2
0.41 (0.28–0.60)
<0.001
 6
40.1
57.8
0.49 (0.33–0.73)
<0.001
 12
40.8
57.8
0.50 (0.34–0.75)
0.001
 24
41.7
58.7
0.50 (0.33–0.78)
0.002
 48
41.3
62.5
0.42 (0.27–0.67)
<0.001
 72
41.1
62.4
0.43 (0.23–0.60)
<0.001
 96
41.2
62.5
0.43 (0.24–0.62)
<0.001
OR odds ratio, CI confidence interval

Discussion

Bacteremia is associated with substantial morbidity and mortality and early interventions are often emphasized [1, 14]. However, the estimates of potential benefits of appropriate empirical antibiotic treatment vary widely in the literature, from no effect [8, 9] to significant reduction in fatality with an odds ratio of up to 6 [47]. Such a controversy may be related to variations in sepsis severity, comorbidities and the immune status of study cohorts, and the distribution of causative microorganisms [24]. Similar to previous reports dealing with the crucial relationship between patient outcomes and the appropriateness of empirical antimicrobial therapy for specific pathogens, such as Gram-negative bacilli [25], E. coli [26, 27], K. pneumoniae [27], S. aureus [28], or bloodstream infections [5, 6], our results support that appropriate empirical antimicrobial therapy reduces short-term mortality in patients with community-onset bacteremia. Of importance, in accordance with increasing bacteremia severity, appropriate antimicrobials should be given as soon as possible.
Several investigations have attempted to answer the question “How early is enough to administer appropriate antimicrobials in patients with severe infection?” However, different TtAa cutoffs were determined in heterogeneous patient populations reported in the literature. First, for patients with severe Legionella pneumophila pneumonia, delays >8 hours between appropriate antimicrobial administration and ICU admission resulted in increased mortality [29]. Second, in another study of patients with cancer and septic shock, a delay of >2 hours from ICU admission was associated with a poor prognosis [30]. Finally, in a study of ED patients with severe sepsis and septic shock, a TtAa <1 hour led to a better short-term survival rate [18].
To our knowledge, the present study was the first one focusing on community-onset bacteremia to prioritize antimicrobial therapy in the initial therapeutic strategy. Similar to a previous report of hospital-based bloodstream infection [7], the “optimum timing” of appropriate antimicrobial administration was determined as the first 48 hours after arrival at the ED. Furthermore, consistent with the SSC recommendations [3], this time should be shortened to 1 hour in critically ill patients. However, the administration of in vitro effective antimicrobials to treat bloodstream infections should be as early as possible to achieve optimal treatment of bacterial infections. Any delay in the administration of appropriate drugs should be avoided, if there is a suspicion of severe sepsis or septic shock.
This study has several limitations. First, antimicrobial therapy is one of the cornerstones of therapeutic strategies for patients with bloodstream infection. Nevertheless, for critically ill patients with the complications of severe sepsis and septic shock, other elements of early goal-directed therapy, such as central venous pressure, mean arterial pressure, and central venous oxygen saturation, were not evaluated as covariates in this study. Second, in the assessment of the primary endpoint and analysis of the impact of antimicrobial therapy, we excluded patients with incomplete clinical information and those receiving inappropriate antibiotic dosage or route of administration. As a result, only 16 patients were excluded and thus the selection bias was expected to be minimal. Third, as previous investigations dealing with the effects of the appropriateness of empirical antimicrobial administration on patient outcome [49], no detailed information was available in our study on early resuscitation. However, the majority (1663, 70.8%) of the 2349 patients with community-onset bacteremia received the first dose of appropriate antimicrobials within one hour of arrival at the ED, and the study population were believed to be managed according to the SSC recommendations. Thus, the clinical outcomes of the patients receiving appropriate antimicrobial therapy at different time points after arrival at the ED could be compared with each other. Fourth, as noted before [49], no analyses of source control were performed in the present study. However, taking the cases of urosepsis as the example, in those with or without interventions for source control, such as percutaneous nephrolithotomy or nephrectomy, the 28-day crude mortality rate was not different (4/48, 8.3% vs. 35/700, 5.0%; P = 0.31), indicative of standard quality of clinical care in the study hospital. Finally, as this study was conducted at one hospital, the critical TtAa cutoffs we identified may not be generalizable to other communities with variable infection sources or severity of community-onset bacteremia. However, our findings highlight that more severely ill patients with bacteremia require earlier administration of appropriate antimicrobials to achieve a favorable outcome.

Conclusions

Our results demonstrate that the elapsed time from arrival at the ED to the administration of appropriate antimicrobials is a crucial determinant of short-term outcomes in patients with community-onset bacteremia. The optimum timing of appropriate antimicrobial administration in mildly ill patients was the first 48 hours after arrival at the ED. With increasing severity of bacteremia, this time should be limited to the first 1 hour in critically ill patients. Therefore, to achieve a favorable outcome in critically ill patients, epidemiological surveillance, rapid pathogen identification, or the incorporation of broad-spectrum antimicrobials as empirical therapy into an antibiotic stewardship program should be considered.

Acknowledgements

We would like to thank all the anonymous reviewers for their valuable comments and suggestions on improving the quality of our study.

Funding

This study was partially supported by research grants from the Ministry of Science and Technology (NSC102-2314-B-006-079), Ministry of Health and Welfare (MOHW106-TDU-B-211-113003) and National Cheng Kung University Hospital (NCKUH-10305018 and NCKUH-10406029), Tainan, Taiwan.

Availability of data and materials

All data are fully available without restriction.

Authors’ contributions

CL, WK, and HT conceived the study idea and designed the study. CL, HL, and MH supervised the data collection and chart reviews. CL, HL, WK, and HT provided methodological and statistical advice on study design and data analysis. CL, WK, and HT provided expertise in infectious disease, helped to draft this manuscript, and revised it carefully from a professional point of view. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.
All authors have provided consent for publication of the manuscript.
The study was approved by the institutional review board of National Cheng Kung University Hospital (ER-100-182), and the requirement of obtaining informed consent was waived.

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Literatur
1.
Zurück zum Zitat Bates DW, Pruess KE, Lee TH. How bad are bacteremia and sepsis? Outcomes in a cohort with suspected bacteremia. Arch Intern Med. 1995;155(6):593–8.CrossRefPubMed Bates DW, Pruess KE, Lee TH. How bad are bacteremia and sepsis? Outcomes in a cohort with suspected bacteremia. Arch Intern Med. 1995;155(6):593–8.CrossRefPubMed
2.
Zurück zum Zitat Laupland KB, Gregson DB, Flemons WW, Hawkins D, Ross T, Church DL. Burden of community-onset bloodstream infection: a population-based assessment. Epidemiol Infect. 2007;135(6):1037–42.CrossRefPubMed Laupland KB, Gregson DB, Flemons WW, Hawkins D, Ross T, Church DL. Burden of community-onset bloodstream infection: a population-based assessment. Epidemiol Infect. 2007;135(6):1037–42.CrossRefPubMed
3.
Zurück zum Zitat Rhodes A, Evans LE, Alhazzani W, Levy MM, Antonelli M, Ferrer R, et al. Surviving Sepsis Campaign: international guidelines for management of sepsis and septic shock: 2016. Crit Care Med. 2017;45(3):1–67.CrossRef Rhodes A, Evans LE, Alhazzani W, Levy MM, Antonelli M, Ferrer R, et al. Surviving Sepsis Campaign: international guidelines for management of sepsis and septic shock: 2016. Crit Care Med. 2017;45(3):1–67.CrossRef
4.
Zurück zum Zitat Ibrahim EH, Sherman G, Ward S, Fraser VJ, Kollef MH. The influence of inadequate antimicrobial treatment of bloodstream infections on patient outcomes in the ICU setting. Chest. 2000;118(1):146–55.CrossRefPubMed Ibrahim EH, Sherman G, Ward S, Fraser VJ, Kollef MH. The influence of inadequate antimicrobial treatment of bloodstream infections on patient outcomes in the ICU setting. Chest. 2000;118(1):146–55.CrossRefPubMed
5.
Zurück zum Zitat Lee CC, Lee CH, Chuang MC, Hong MY, Hsu HC, Ko WC. Impact of inappropriate empirical antibiotic therapy on outcome of bacteremic adults visiting the ED. Am J Emerg Med. 2012;30(8):1447–56.CrossRefPubMed Lee CC, Lee CH, Chuang MC, Hong MY, Hsu HC, Ko WC. Impact of inappropriate empirical antibiotic therapy on outcome of bacteremic adults visiting the ED. Am J Emerg Med. 2012;30(8):1447–56.CrossRefPubMed
6.
Zurück zum Zitat Chen HC, Lin WL, Lin CC, Hsieh WH, Hsieh CH, Wu MH, et al. Outcome of inadequate empirical antibiotic therapy in emergency department patients with community-onset bloodstream infections. J Antimicrob Chemother. 2013;68(4):947–53.CrossRefPubMed Chen HC, Lin WL, Lin CC, Hsieh WH, Hsieh CH, Wu MH, et al. Outcome of inadequate empirical antibiotic therapy in emergency department patients with community-onset bloodstream infections. J Antimicrob Chemother. 2013;68(4):947–53.CrossRefPubMed
7.
Zurück zum Zitat Leibovici L, Shraga I, Drucker M, Konigsberger H, Samra Z, Pitlik SD. The benefit of appropriate empirical antibiotic treatment in patients with bloodstream infection. J Intern Med. 1998;244(5):379–86.CrossRefPubMed Leibovici L, Shraga I, Drucker M, Konigsberger H, Samra Z, Pitlik SD. The benefit of appropriate empirical antibiotic treatment in patients with bloodstream infection. J Intern Med. 1998;244(5):379–86.CrossRefPubMed
8.
Zurück zum Zitat Lin MY, Weinstein RA, Hota B. Delay of active antimicrobial therapy and mortality among patients with bacteremia: impact of severe neutropenia. Antimicrob Agents Chemother. 2008;52(9):3188–94.CrossRefPubMedPubMedCentral Lin MY, Weinstein RA, Hota B. Delay of active antimicrobial therapy and mortality among patients with bacteremia: impact of severe neutropenia. Antimicrob Agents Chemother. 2008;52(9):3188–94.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Corona A, Bertolini G, Lipman J, Wilson AP, Singer M. Antibiotic use and impact on outcome from bacteraemic critical illness: the BActeraemia Study in Intensive Care (BASIC). J Antimicrob Chemother. 2010;65(6):1276–85.CrossRefPubMed Corona A, Bertolini G, Lipman J, Wilson AP, Singer M. Antibiotic use and impact on outcome from bacteraemic critical illness: the BActeraemia Study in Intensive Care (BASIC). J Antimicrob Chemother. 2010;65(6):1276–85.CrossRefPubMed
10.
Zurück zum Zitat Hsieh CC, Lee CH, Hong MY, Hung YP, Lee NY, Ko WC, et al. Propensity score-matched analysis comparing the therapeutic efficacies of cefazolin and extended-spectrum cephalosporins as appropriate empirical therapy in adults with community-onset Escherichia coli, Klebsiella spp. and Proteus mirabilis bacteraemia. Int J Antimicrob Agents. 2016;48(6):712–8.CrossRefPubMed Hsieh CC, Lee CH, Hong MY, Hung YP, Lee NY, Ko WC, et al. Propensity score-matched analysis comparing the therapeutic efficacies of cefazolin and extended-spectrum cephalosporins as appropriate empirical therapy in adults with community-onset Escherichia coli, Klebsiella spp. and Proteus mirabilis bacteraemia. Int J Antimicrob Agents. 2016;48(6):712–8.CrossRefPubMed
11.
Zurück zum Zitat Lee CC, Wang JL, Lee CH, Hsieh CC, Hung YP, Hong MY, et al. Clinical benefit of appropriate empirical fluoroquinolone therapy for adults with community-onset bacteremia in comparison with third-generation-cephalosporin therapy. Antimicrob Agents Chemother. 2017;61(2):e02174–16.PubMed Lee CC, Wang JL, Lee CH, Hsieh CC, Hung YP, Hong MY, et al. Clinical benefit of appropriate empirical fluoroquinolone therapy for adults with community-onset bacteremia in comparison with third-generation-cephalosporin therapy. Antimicrob Agents Chemother. 2017;61(2):e02174–16.PubMed
12.
Zurück zum Zitat Hsieh CC, Lee CH, Li MC, Hong MY, Chi CH, Lee CC. Empirical third-generation cephalosporin therapy for adults with community-onset Enterobacteriaceae bacteraemia: impact of revised CLSI breakpoints. Int J Antimicrob Agents. 2016;47(4):297–303.CrossRefPubMed Hsieh CC, Lee CH, Li MC, Hong MY, Chi CH, Lee CC. Empirical third-generation cephalosporin therapy for adults with community-onset Enterobacteriaceae bacteraemia: impact of revised CLSI breakpoints. Int J Antimicrob Agents. 2016;47(4):297–303.CrossRefPubMed
13.
Zurück zum Zitat Lee CH, Hsieh CC, Hong MY, Hung YP, Ko WC, Lee CC. Comparing the therapeutic efficacies of third-generation cephalosporins and broader-spectrum beta-lactams as appropriate empirical therapy in adults with community-onset monomicrobial Enterobacteriaceae bacteraemia: a propensity-score matched analysis. Int J Antimicrob Agents. 2017;49(5):617–23.CrossRefPubMed Lee CH, Hsieh CC, Hong MY, Hung YP, Ko WC, Lee CC. Comparing the therapeutic efficacies of third-generation cephalosporins and broader-spectrum beta-lactams as appropriate empirical therapy in adults with community-onset monomicrobial Enterobacteriaceae bacteraemia: a propensity-score matched analysis. Int J Antimicrob Agents. 2017;49(5):617–23.CrossRefPubMed
14.
Zurück zum Zitat Lee CC, Lee NY, Chen PL, Hong MY, Chan TY, Chi CH, et al. Impact of antimicrobial strategies on clinical outcomes of adults with septic shock and community-onset Enterobacteriaceae bacteremia: de-escalation is beneficial. Diagn Microbiol Infect Dis. 2015;82(2):158–64.CrossRefPubMed Lee CC, Lee NY, Chen PL, Hong MY, Chan TY, Chi CH, et al. Impact of antimicrobial strategies on clinical outcomes of adults with septic shock and community-onset Enterobacteriaceae bacteremia: de-escalation is beneficial. Diagn Microbiol Infect Dis. 2015;82(2):158–64.CrossRefPubMed
15.
Zurück zum Zitat Lee CC, Lin WJ, Shih HI, Wu CJ, Chen PL, Lee HC, et al. Clinical significance of potential contaminants in blood cultures among patients in a medical center. J Microbiol Immunol Infect. 2007;40(5):438–44.PubMed Lee CC, Lin WJ, Shih HI, Wu CJ, Chen PL, Lee HC, et al. Clinical significance of potential contaminants in blood cultures among patients in a medical center. J Microbiol Immunol Infect. 2007;40(5):438–44.PubMed
16.
Zurück zum Zitat Gilbert DN, Moellering RC Jr., Eliopoulos GM, ChambersHF, Saag MS. The Sanford guide to antimicrobial therapy. 39th ed. Sperryville, VA: Antimicrobial Therapy. 2009;78–82. Gilbert DN, Moellering RC Jr., Eliopoulos GM, ChambersHF, Saag MS. The Sanford guide to antimicrobial therapy. 39th ed. Sperryville, VA: Antimicrobial Therapy. 2009;78–82.
17.
Zurück zum Zitat Clinical and Laboratory Standards Institute. Performance standards for antimicrobial susceptibility testing; approved standard. Twenty-six informational supplement. CLSI document M100-S26. Wayne, PA: CLSI; 2016. Clinical and Laboratory Standards Institute. Performance standards for antimicrobial susceptibility testing; approved standard. Twenty-six informational supplement. CLSI document M100-S26. Wayne, PA: CLSI; 2016.
18.
Zurück zum Zitat Gaieski DF, Mikkelsen ME, Band RA, Pines JM, Massone R, Furia FF, et al. Impact of time to antibiotics on survival in patients with severe sepsis or septic shock in whom early goal-directed therapy was initiated in the emergency department. Crit Care Med. 2010;38(4):1045–53.CrossRefPubMed Gaieski DF, Mikkelsen ME, Band RA, Pines JM, Massone R, Furia FF, et al. Impact of time to antibiotics on survival in patients with severe sepsis or septic shock in whom early goal-directed therapy was initiated in the emergency department. Crit Care Med. 2010;38(4):1045–53.CrossRefPubMed
19.
Zurück zum Zitat Schellevis FG, van der Velden J, van de Lisdonk E, van Eijk JT, van Weel C. Comorbidity of chronic diseases in general practice. J Clin Epidemiol. 1993;46(5):469–73.CrossRefPubMed Schellevis FG, van der Velden J, van de Lisdonk E, van Eijk JT, van Weel C. Comorbidity of chronic diseases in general practice. J Clin Epidemiol. 1993;46(5):469–73.CrossRefPubMed
20.
Zurück zum Zitat McCabe WR. Gram-negative bacteremia. Adv Intern Med. 1974;19:135–58.PubMed McCabe WR. Gram-negative bacteremia. Adv Intern Med. 1974;19:135–58.PubMed
21.
Zurück zum Zitat Clinical and Laboratory Standards Institute. Performance standards for antimicrobial susceptibility testing; approved standard. Nineteenth informational supplement. CLSI document M100-S19. Wayne, PA: CLSI; 2009. Clinical and Laboratory Standards Institute. Performance standards for antimicrobial susceptibility testing; approved standard. Nineteenth informational supplement. CLSI document M100-S19. Wayne, PA: CLSI; 2009.
22.
Zurück zum Zitat Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996;49(12):1373–9.CrossRefPubMed Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996;49(12):1373–9.CrossRefPubMed
23.
Zurück zum Zitat Royston P, Moons KG, Altman DG, Vergouwe Y. Prognosis and prognostic research: developing a prognostic model. BMJ. 2009;338:b604.CrossRefPubMed Royston P, Moons KG, Altman DG, Vergouwe Y. Prognosis and prognostic research: developing a prognostic model. BMJ. 2009;338:b604.CrossRefPubMed
24.
Zurück zum Zitat Kumar A. An alternate pathophysiologic paradigm of sepsis and septic shock: implications for optimizing antimicrobial therapy. Virulence. 2014;5(1):80–97.CrossRefPubMed Kumar A. An alternate pathophysiologic paradigm of sepsis and septic shock: implications for optimizing antimicrobial therapy. Virulence. 2014;5(1):80–97.CrossRefPubMed
25.
Zurück zum Zitat Bryan CS, Reynolds KL, Brenner ER. Analysis of 1,186 episodes of gram-negative bacteremia in non-university hospitals: the effects of antimicrobial therapy. Rev Infect Dis. 1983;5(4):629–38.CrossRefPubMed Bryan CS, Reynolds KL, Brenner ER. Analysis of 1,186 episodes of gram-negative bacteremia in non-university hospitals: the effects of antimicrobial therapy. Rev Infect Dis. 1983;5(4):629–38.CrossRefPubMed
26.
Zurück zum Zitat Peralta G, Sanchez MB, Garrido JC, De Benito I, Cano ME, Martinez-Martinez L, et al. Impact of antibiotic resistance and of adequate empirical antibiotic treatment in the prognosis of patients with Escherichia coli bacteraemia. J Antimicrob Chemother. 2007;60(4):855–63.CrossRefPubMed Peralta G, Sanchez MB, Garrido JC, De Benito I, Cano ME, Martinez-Martinez L, et al. Impact of antibiotic resistance and of adequate empirical antibiotic treatment in the prognosis of patients with Escherichia coli bacteraemia. J Antimicrob Chemother. 2007;60(4):855–63.CrossRefPubMed
27.
Zurück zum Zitat Lautenbach E, Metlay JP, Bilker WB, Edelstein PH, Fishman NO. Association between fluoroquinolone resistance and mortality in Escherichia coli and Klebsiella pneumoniae infections: the role of inadequate empirical antimicrobial therapy. Clin Infect Dis. 2005;41(7):923–9.CrossRefPubMed Lautenbach E, Metlay JP, Bilker WB, Edelstein PH, Fishman NO. Association between fluoroquinolone resistance and mortality in Escherichia coli and Klebsiella pneumoniae infections: the role of inadequate empirical antimicrobial therapy. Clin Infect Dis. 2005;41(7):923–9.CrossRefPubMed
28.
Zurück zum Zitat Khatib R, Saeed S, Sharma M, Riederer K, Fakih MG, Johnson LB. Impact of initial antibiotic choice and delayed appropriate treatment on the outcome of Staphylococcus aureus bacteremia. Eur J Clin Microbiol Infect Dis. 2006;25(3):181–5.CrossRefPubMed Khatib R, Saeed S, Sharma M, Riederer K, Fakih MG, Johnson LB. Impact of initial antibiotic choice and delayed appropriate treatment on the outcome of Staphylococcus aureus bacteremia. Eur J Clin Microbiol Infect Dis. 2006;25(3):181–5.CrossRefPubMed
29.
Zurück zum Zitat Gacouin A, Le Tulzo Y, Lavoue S, Camus C, Hoff J, Bassen R, et al. Severe pneumonia due to Legionella pneumophila: prognostic factors, impact of delayed appropriate antimicrobial therapy. Intensive Care Med. 2002;28(6):686–91.CrossRefPubMed Gacouin A, Le Tulzo Y, Lavoue S, Camus C, Hoff J, Bassen R, et al. Severe pneumonia due to Legionella pneumophila: prognostic factors, impact of delayed appropriate antimicrobial therapy. Intensive Care Med. 2002;28(6):686–91.CrossRefPubMed
30.
Zurück zum Zitat Larche J, Azoulay E, Fieux F, Mesnard L, Moreau D, Thiery G, et al. Improved survival of critically ill cancer patients with septic shock. Intensive Care Med. 2003;29(10):1688–95.CrossRefPubMed Larche J, Azoulay E, Fieux F, Mesnard L, Moreau D, Thiery G, et al. Improved survival of critically ill cancer patients with septic shock. Intensive Care Med. 2003;29(10):1688–95.CrossRefPubMed
Metadaten
Titel
Timing of appropriate empirical antimicrobial administration and outcome of adults with community-onset bacteremia
verfasst von
Ching-Chi Lee
Chung-Hsun Lee
Ming-Yuan Hong
Hung-Jen Tang
Wen-Chien Ko
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
Critical Care / Ausgabe 1/2017
Elektronische ISSN: 1364-8535
DOI
https://doi.org/10.1186/s13054-017-1696-z

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