Literature DB >> 29953464

Risk factors for mortality in patients with acute leukemia and bloodstream infections in the era of multiresistance.

Carolina Garcia-Vidal1, Celia Cardozo-Espinola1, Pedro Puerta-Alcalde1, Francesc Marco2,3, Adrian Tellez1, Daiana Agüero1, Francisco Romero-Santana1,4, Marina Díaz-Beyá5, Eva Giné5, Laura Morata1, Olga Rodríguez-Núñez1, Jose Antonio Martinez1, Josep Mensa1, Jordi Esteve5, Alex Soriano1.   

Abstract

OBJECTIVES: We assess the epidemiology and risk factors for mortality of bloodstream infection (BSI) in patients with acute leukemia (AL).
METHODS: Prospectively collected data of a cohort study from July 2004 to February 2016. Multivariate analyses were performed.
RESULTS: 589 episodes of BSI were documented in 357 AL patients, 55% caused by gram-positive bacteria (coagulase-negative staphylococci 35.7%, Enterococcus spp 10.8%) and 43.5% by gram-negative bacteria (E. coli 21%, PA 12%). We identified 110 (18.7%) multidrug-resistant (MDR) microorganisms, especially MDR-Pseudomonas aeruginosa (7%) and extended-spectrum beta-lactamase producing Enterobacteriaceae (7%). The 30-day mortality was 14.8%. Age (OR 3.1; 95% CI 1.7-5.7); chronic lung disease (4.8; 1.1-21.8); fatal prognosis according to McCabe index (13.9; 6.4-30.3); shock (3.8; 1.9-7.7); pulmonary infection (3.6; 1.3-9.9); and MDR-PA infections with inappropriate treatment (12.8; 4.1-40.5) were related to mortality. MDR-PA BSI was associated to prior antipseudomonal cephalosporin use (9.31; 4.38-19.79); current use of betalactams (2.01; 1.01-4.3); shock (2.63; 1.03-6.7) and pulmonary source of infection (9.6; 3.4-27.21).
CONCLUSIONS: MDR organisms were commonly isolated in BSI in AL. Inappropriate empiric antibiotic treatment for MDR-PA is the primary factor related to mortality that can be changed. New treatment strategies to improve the coverage of MDR-PA BSI should be considered in those patients with risk factors for this infection.

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Mesh:

Year:  2018        PMID: 29953464      PMCID: PMC6023133          DOI: 10.1371/journal.pone.0199531

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Bloodstream infections (BSI) are frequently observed in patients with haematological malignancies with a prevalence that ranges from 11% to 38% [1-5]. Crude mortality rates vary from 12% to 42%, and attributable mortality rates as high as 30% have been reported in some studies [4-6]. Among patients with haematological malignancies, patients with acute leukemia (AL) are a unique cohort. From AL diagnosis, patients undergo in a process with continuous cycles of chemotherapy and profound prolonged neutropenia. Moreover, integrity alteration of the gastrointestinal mucosa, and widespread use of indwelling intravascular catheters cause that these patients are a high-risk group for BSI [1,3-5]. High consumption of antibiotics and prolonged hospitalizations might render these patients vulnerable to being colonized by multidrug-resistant (MDR) strains. Epidemiology of BSI in this population is in a continuous shift due to changes in chemotherapies, immunosuppressive agents, and prophylaxis strategies. However, in this era of problematic infections caused by MDR-bacteria, limited data have been previously reported on epidemiology, outcomes and risk factors for mortality of BSI in this specific patient group. This information is crucial for improving the empirical treatment of patients and the potential antibiotic prophylaxis strategies. The knowledge of this epidemiology should also be taken into account in the management of febrile neutropenia in AL patients. We aimed to describe the current epidemiology and its changes during the different cycles of chemotherapy of BSI in a large current cohort of patients with AL. We also assessed the risk factors for BSI mortality and the risk factors for BSI caused by MDR-Pseudomonas aeruginosa (MDR-PA).

Materials and methods

Setting and data collection

This study was performed at the Hospital Clinic in Barcelona (Spain), a 700-bed university center that provides specialized and broad medical, surgical, and intensive care for an urban population of 500,000 people. Since 1991 our institution has carried out a blood culture surveillance program identifying and monitoring all patients with bacteraemia. The collected data were entered in a specific database designed for this program. Patients were prospectively followed up 30 days after onset, by a senior infectious disease specialist: patient’s medical history, physical examination, the results of other microbiological tests and complementary imaging explorations were assessed in order to determine the source of infection and recommend appropriate antibiotic treatment.

Study population and design

For this study, we analysed all consecutive episodes of BSI occurring in patients with AL from July 2004 to February 2016. The following data were obtained from all patients: age, gender, comorbidities, McCabe classification of underlying diseases, treatment with antibiotics or steroids in the previous month, recent hospitalization (within the last month), surgery and other invasive procedures, presence of central venous catheter or urinary catheter, radiological findings, current administration of anti-neoplastic chemotherapy, leucocyte count, source of bacteraemia, length of hospitalization before diagnosis of BSI, days of neutropenia before BSI, mucositis, fever and shock on presentation, intensive care unit and need for mechanical ventilation, etiologic microorganisms and their susceptibility profile, empirical antibiotic treatment, appropriateness of empirical therapy, definitive antibiotic therapy, and early and overall mortality. The study was approved by the Ethics Committee board (Comité Ético de Investigación Clínica del Hospital Clínic de Barcelona) of our institution.

Definitions

Neutropenia was defined as an absolute neutrophil count of <500 cells/mm3. Mucositis was defined following the WHO criteria [7]. Prognosis of the underlying disease was classified, according to McCabe and Jackson modified criteria, as rapidly fatal (death expected within 3 months), ultimately fatal (death expected within a period of >3 months but <5 years) and non-fatal (life expectancy >5 years). Shock was defined as having a systolic pressure <90 mmHg that was unresponsive to fluid treatment or required vasoactive drug therapy. Prior antibiotic therapy was defined as the use of any antimicrobial agent for ≥3 days during the month prior to the occurrence of the bacteraemic episode. According to the protocols of our hospital, patients with an expected neutropenia over 10 days received prophylaxis with a fluoroquinolone. Definitions of healthcare-associated and community-acquired BSI as well as definition of the source of infection have been previously provided [8]. The following gram-negative bacilli were considered to be MDR: 1) extended-spectrum beta-lactamase (ESBL) producing Enterobacteriaceae, 2) AmpC cephalosporinase hyperproducing Enterobacteriaceae, 3) MDR strains of non-fermenting GNB such as Pseudomonas aeruginosa, Acinetobacter baumannii and Stenotrophomonas maltophilia. Non-fermenting GNB were defined as MDR strains when they were resistant to at least 3 classes of antibiotics: carbapenems, ureidopenicillins, cephalosporins (ceftazidime and cefepime), monobactams, aminoglycosides, and fluoroquinolones. Extensively drug-resistant (XDR) GNB were those non-susceptible to ≥1 agent in all but ≤2 categories. MDR gram-positive organisms included methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus faecium (VRE). Appropriate empirical therapy was considered when the patient received at least one in vitro active antimicrobial agent within 24 h after obtaining blood cultures before susceptibility results were available, and the dosage and route of administration were in accordance with current medical standards. Early mortality was defined as death within 48 h of the onset of BSI and overall mortality as death by any cause within the first 30 days of onset. Death was considered related to the BSI if it occurred before the resolution of symptoms or signs, or within 7 days of the onset of bacteraemia, and there was no other explanation.

Microbiological methods

Blood samples were processed using the BACTEC 9240 system or Bactec FX system (Becton-Dickinson Microbiology Systems), with an incubation period of 5 days. Isolates were identified by standard techniques. Antimicrobial susceptibility testing was performed by using a microdilution system (Microscan WalkAway Dade Behring, West Sacramento, CA or Phoenix system, Becton Dickinson, Franklin Lakes, NJ) or the Etest (AB Biodisk, Solna, Sweden/ bioMérieux, Mercy l’Etoile, France). Current Clinical and Laboratory Standards Institute (CLSI) or EUCAST breakpoints for each year were used to define susceptibility or resistance to these antimicrobial agents, and intermediate susceptibility was considered as resistance. All MDR strains were confirmed by e-test methods over the study period.

Statistical analysis

Categorical variables were compared by Chi-square or Fisher’s exact test when necessary and Student’s t-test or the Mann–Whitney U-test for continuous variables. Chi-square for trend analysis was conducted to compare changes in epidemiology over time. Two multivariate regression models (step-forward procedure) were used to identify the independent risk factors for MDR-PA and the independent risk factors for overall mortality, respectively. The goodness of fit of the multivariate models was assessed by the Hosmer-Lemeshow test and the area under the receiver operating characteristic curve. The threshold for statistical significance was defined as a two-tailed p<0.05. All analyses were done by using the SPSS software (version 18.0; SPSS, Inc., Chicago, IL).

Results

Demographics and epidemiology

In total, 589 BSI episodes of bloodstream infection in 357 patients with AL were documented within the study period. Table 1 summarizes the demographic and clinical characteristics of the patients. Most of the BSIs were nosocomially (52.6%) acquired. Three hundred and sixty-two (61.5%) patients had received previous antibiotic therapy, mainly quinolones (34.5%), cephalosporins (34.3%), and carbapenems (22.6%).
Table 1

Demographic and clinical characteristics of 589 BSI episodes in patients with acute leukemia.

EpisodesN = 589 (%)
Demographics
    Male sex324 (55)
    Age, median (IQR) years53 (40.5–64)
Comorbid conditions
    Diabetes mellitus37 (6.3)
    COPD*12 (2)
Clinical conditions
    Previous hospital admission (last month)254 (43)
    Previous antibiotic therapy (last month)362 (61.5)
    Central intravenous vascular catheter479 (81.3)
    Urinary catheter40 (6.8)
    Corticosteroid therapy204 (34.5)
    Neutropenia (<500 neutrophils)374 (63.5)
    Days of neutropenia before BSI, median (IQR) days3 (0–10)
    Mucositis101 (17.5)
Site of acquisition
    Nosocomial310 (52.6)
    Healthcare244 (41.4)
    Community28 (4.8)
Source of bacteraemia
    Unknown origin294 (49.9)
    Catheter-related211 (35.8)
    Pneumonia27 (4.6)
    Urinary tract17 (2.9)
    Abdominal14 (2.4)
    Skin and soft tissue infection12 (2)
    Cholangitis1 (0.2)

IQR: Interquartile range.

*COPD: Chronic Obstructive Pulmonary Disease.

IQR: Interquartile range. *COPD: Chronic Obstructive Pulmonary Disease. Table 2 details organisms responsible for all episodes of BSI. Gram-positive organisms accounted for 55% of cases. The most frequent gram-positive isolated were coagulase-negative staphylococci (35.7%), followed by Enterococcus spp (10.8%). Among gram-negative organisms (43.5%), Escherichia coli (20.5%) was the most frequently isolated, followed by Pseudomonas aeruginosa (12%). There were 25 (4%) episodes of candidemia. Forty-eight BSI episodes were polymicrobial (8%). Patients with oral mucositis had more commonly candidemia (10.9% vs 2.9%; p<0.001) and less commonly gram-negative bacteremia (34.7% vs 45.1%; p = 0.055). No significant differences were found in gram-positive bacteremia (55.4% vs 54.9%; p = 0.924).
Table 2

Detected microorganisms during different chemotherapy cycles.

TotalN = 589 (%)InductionN = 103 (%)ConsolidationN = 176 (%)NeutropeniaN = 376
Gram negative-bacteria257 (43.6)39 (37.9)75 (42.6)82 (39)
  E. coli120 (20.4)13 (12.6)40 (22.7)95 (25.3)
    Ciprofloxacin R*99 (82.5)11 (84.6)37 (92.5)81 (85.3)
    ESBL*31 (25.8)2 (15.4)9 (5.1)24 (25.2)
  Klebsiella spp28 (4.8)5 (4.9)7 (4)15 (4)
    Ciprofloxacin R*13 (46.4)4 (80)5 (71.4)9 (60)
    ESBL*10 (35.7)4 (80)4 (2.3)7 (46.6)
  P. aeruginosa71 (12)12 (11.7)23 (13.1)43 (11.4)
    Ciprofloxacin R*42 (59.2)8 (66.7)15 (65.2)26 (60.5)
    MDR*41 (57.7)8 (66.7)15 (65.2)25 (58.1)
  S. maltophilia12 (2.0)6 (5.8)1 (0.6)9 (2.4)
  Enterobacter spp8 (1.4)11 (0.6)4 (1.1)
Gram positive-bacteria323 (55)54 (52.4)102 (58.0)127 (60.5)
  S. aureus19 (3.2)3 (2.9)6 (3.4)7 (1.9)
    MRSA*4 (21)001(0.3)
  CoNS211 (35.8)34 (33)76 (43.2)135(35.9)
  Enterococcus spp64 (10.8)12 (11.7)9 (5.1)37(9.8)
    E. faecalis*29 (45.3)2 (16.7)5 (55.6)11 (29.7)
    E. faecium*33 (51.6)10 (83.3)4 (44.4)21 (56.8)
    VRE*0000
  S. pneumoniae6 (1)01 (0.6)0
  Group viridans streptococci18 (3)5 (4.9)7 (4)11(2.9)
  L. monocytogenes6 (1)1 (1)1 (0.6)2(0.5)
Candida25 (4.2)13 (12.6)4 (2.3)19(5.1)
Polymicrobial57 (9.6)8 (7.8)13 (7.4)27(7.2)
MDR isolates110 (18.7)21 (20.4)31 (17.6)73 (19.5)

*Percentage among their species.

*Percentage among their species. We identified 110 (18.7%) MDR organisms, mostly MDR-PA (6.9%) and ESBL-producing E. coli and Klebsiella spp (6.9%). No vancomycin-resistant Enterococcus spp or carbapenemase-producing Enterobacteriaceae were found. We did not identify any special temporal trend in resistance or in causative BSI microorganisms during different chemotherapy cycles (Table 2). Table 3 details epidemiological changes over time during the study period. No differences in MDR-GNB or MDR-PA were found.
Table 3

Changes over time in epidemiology of BSI in HSCT recipients.

2004–2007N = 233 (%)2008–2011N = 215 (%)2012–2016N = 141 (%)p-value for trend
Gram-positive bacteria137 (58.8)113 (52.6)73 (51.8)0.151
CoNS97 (41.6)74 (34.4)40 (28.4)0.008
S. aureus10 (4.3)6 (2.8)3 (2.1)0.229
    MRSA2 (0.9)2 (0.9)00.378
Enterococcus spp16 (6.9)25 (11.6)23 (16.3)0.004
Gram-negative bacteria92 (39.5)103 (47.9)60 (42.6)0.405
E. coli54 (23.2)39 (18.1)27 (19.1)0.280
    ESBL15 (6.4)8 (3.7)8 (5.7)0.611
P. aeruginosa19 (8.2)35 (16.3)17 (12.1)0.141
     MDR10 (4.3)20 (9.3)11 (7.8)0.125
Klebsiella spp8 (3.4)13 (6)7 (5)0.404
    ESBL6 (2.6)3 (1.4)1 (0.7)0.161
MDR isolates43 (18.5)44 (20.5)23 (16.3)0.703
Candidemia10 (4.3)3 (1.4)12 (8.5)0.123

Therapeutic approaches and outcomes

Most patients received empirical antibiotics (96.8%), the most prevalent were carbapenems (57%), glycopeptides (50.6%) and aminoglycosides (25.6%). Inadequate empirical antibiotic therapy was given to 26.3% of patients. Table 4 summarizes the etiology of BSI in patients who received inadequate empirical antibiotic treatment. Those patients with BSI due to a MDR strain had a higher percentage of initial inadequate treatment than patients without MDR strains (35.5% vs 24.4% p = 0.018).
Table 4

Most frequent microbiological isolates in those 155 BSI episodes who received inappropriate antibiotic therapy.

MicroorganismInadequate initial empirical therapyN = 155 (%)
Gram negative-bacteria
  E. coli16 (10.3)
    ESBL*10 (62.5)
Pseudomonas21 (13.5)
    MDR*19 (90.5)
  S. maltophilia9 (5.8)
Gram positive-bacteria
  CoNS65 (41.9)
  Enterococcus spp22 (14.2)
    E. faecium*14 (63.6)
Candida spp16 (10.3)

*Percentage pertaining to their species.

*Percentage pertaining to their species. Shock was documented in 11.2% of cases. Early mortality, overall mortality, and related mortality within the first 30 days were 3.7%, 14.8% and 8.7%, respectively. In episodes caused by MDR organisms the rates were 4.5%, 19.1% and 12.7%. In comparison to patients without MDR organisms, those with MDR organisms who received inappropriate antibiotic treatment had higher early mortality (10.3%, p = 0.05), overall mortality (33.3%; p = 0.005) and related mortality (20.5; p = 0.069), especially those with MDR-PA infection (early (15.8%, p = 0.03), 30-days (63.2%, p< 0.001) and related (36.8%, p< 0.001) mortality).

Predictors of mortality

Table 5 detailed the univariate analysis for mortality. Table 6 showed the multivariate analysis of predictors for overall mortality. Age (OR 3.1; 95% CI 1.7–5.7); chronic lung disease (4.8; 1.1–21.8); fatal prognosis according to McCabe index (13.9; 6.4–30.3); shock at onset (3.8; 1.9–7.7); pulmonary source of infection (3.6; 1.3–9.9); and BSI caused by MDR-PA with inappropriate antibiotic therapy (12.8; 4.1–40.5) were independent risk factors for overall mortality. The goodness of fit of the multivariate model was assessed by the Hosmer-Lemeshow test (0.784), and the discriminatory power of the score, as evaluated by the area under the receiver operating characteristic curve, was 0.848 (95% 0.797–0.900), demonstrating a strong ability to predict overall mortality in patients with AL and BSI.
Table 5

Univariate analysis for mortality.

DeathsN = 87 (%)SurvivorsN = 502 (%)p value
Clinical characteristics
    Male sex45 (51.7)279 (55.7)0.493
    Older age (>65 years old)47 (54)95 (18.9)< 0.001
    Diabetes mellitus11 (12.6)26 (5.2)0.008
    Chronic lung disease5 (5.7)7 (1.4)0.008
    Chronic liver disease2 (2.3)4 (0.8)0.218
    Corticosteroid therapy36 (41.4)167 (33.3)0.151
    Neutropenia (<500 neutrophils)47 (54)327 (65.1)0.069
    Prolonged neutropenia (more than 21 days)18 (20.7)55 (11)0.011
    Mucositis6 (6.9)95 (18.9)0.006
    BSI in the first month after AL diagnosis19 (21.8)80 (15.9)0.177
    AL in induction treatment15 (17.2)88 (17.5)0.948
    Fatal prognosis according to McCabe index29 (33.3)16 (3.2)< 0.001
Site of acquisition
    Nosocomial43 (49.4)267 (53.2)0.547
    Community9 (10.3)19 (3.8)0.008
Source of bacteraemia
    Unknown origin38 (43.7)256 (51)0.208
    Catheter-related22 (25.3)189 (37.6)0.026
    Pulmonary source of infection13 (14.9)14 (2.8)< 0.001
    Urinary tract5 (5.7)12 (2.4)0.084
    Intraabdominal source of infection5 (5.7)9 (1.8)0.025
Etiology
    S. aureus2 (2.3)17 (3.4)0.596
    CoNS12 (13.8)119 (23.7)< 0.001
    Group viridans streptococci0 (0)18 (3.6)0.091
    Enterococcus spp15 (17.2)49 (9.8)0.038
    E. coli17 (19.5)103 (20.5)0.834
    P. aeruginosa24 (27.6)47 (9.4)< 0.001
    Klebsiella spp7 (8)21 (4.2)0.118
    Candida spp5 (5.7)20 (4)0.451
    Polymicrobial9 (10.3)39 (7.8)0.418
    MDR strain21 (24.1)89 (17.7)0.157
Inappropriate antibiotic therapy
Clinical and treatment features
    Shock at onset23 (26.4)43 (8.6)< 0.001
    Persistent bacteremia12 (13.8)85 (16.9)0.486
    Inappropriate antibiotic therapy30 (34.5)125 (24.9)0.055
    Inappropriate antibiotic therapy in MDR strains13 (14.9)26 (5.2)0.001
    Inappropriate antibiotic therapy in MDR-PA12 (13.8)7 (1.4)< 0.001
Table 6

Independent risk factors for mortality.

Risk factorAdjusted odds ratio (95% CI)p-value
Older age (>65 years old)3.116 (1.698–5.719)<0.001
Chronic lung disease4.890 (1.096–21.818)0.033
Fatal prognosis according to McCabe index13.89 (6.373–30.291)<0.001
Pulmonary source of infection3.582 (1.296–9.903)0.014
Shock at onset3.789 (1.865–7.698)<0.001
BSI caused by MDR-PA with inappropriate antibiotic therapy12.818 (4.056–40.502)<0.001

Adjusted for: mucositis, diabetes, communitary-infection, intrabdominal source of infection, catheter source of infection, prolonged neutropenia (more than 21 days), BSI caused by Enteroccocus spp, inappropriate antibiotic treatment, and BSI caused by MDR-bacteria with inappropriate antibiotic therapy.

Adjusted for: mucositis, diabetes, communitary-infection, intrabdominal source of infection, catheter source of infection, prolonged neutropenia (more than 21 days), BSI caused by Enteroccocus spp, inappropriate antibiotic treatment, and BSI caused by MDR-bacteria with inappropriate antibiotic therapy.

Risk factors for BSI caused by MDR-PA

Independent factors associated with the isolation of MDR-PA in BSI in our cohort of patients with AL were prior antipseudomonal cephalosporin use (OR 9.31; 95% CI 4.38–19.79); bloodstream infection occurring within betalactam antibiotic therapy (2.01; 1.01–4.3); shock at onset (2.63; 1.03–6.7) and pulmonary source of infection (9.6; 3.4–27.21). The goodness of fit of the multivariate model was assessed by the Hosmer-Lemeshow test (0.658), and the discriminatory power of the score, as evaluated by the area under the receiver operating characteristic curve, was 0.807 (95% 0.724–0.890), demonstrating a strong ability to predict MDR-PA BSI.

Discussion

This prospective study describes the epidemiology and prognostic factors of a current cohort of patients with AL presenting with a BSI. The most important findings were: 1) the proportion of gram-positive and gram-negative bacteria isolated was similar 2) the causative microorganisms did not change significantly between the different chemotherapy cycles 3) the presence of MDR microorganisms, mainly GNB, was common 4) inadequate empirical antibiotic treatment was frequent, especially in patients with MDR BSI 5) the overall mortality was high 6) independent risk factors for mortality were older age, chronic lung disease, fatal prognosis according to McCabe index, shock at onset, pulmonary source of infection and BSI caused by MDR-PA with inappropriate antibiotic therapy 7) independent risk factors for MDR-PA BSI were prior antipseudomonal cephalosporin use, current use of betalactams, shock at onset, and pulmonary source of infection. The epidemiology of BSI in patients with AL is in a continuous shift [4,5,9,10]. Our current data showed a slight predominance of Gram-positive organisms, mainly CoNS and enterococci. Moreover, we documented an important number of patients with BSI caused by Gram-negative bacilli. These results are similar to those obtained in comparable centers in overall haematological patients [11-14]. The development of multidrug resistance has become a major health problem worldwide [15-16]. Information dealing with the current epidemiology and outcomes of MDR-bacteria in patients with haematological malignancies is scarce [6,17,18], and there specifically lacks data in the AL population. We found a high proportion of MDR isolates, predominantly MDR-PA and ESBL producing E. coli and K. pneumoniae. Among Gram-positive organisms, resistance to methicillin in S. aureus isolates was relatively low (0.7%) in this population, and as expected in our geographical area no vancomycin-resistant Enterococcus were detected [19,20]. Our study confirms that a high number of patients with MDR-BSI receive an inappropriate empirical treatment. Remarkably, we did not find differences in global microbiology and MDR isolates according to the different chemotherapy phases. The finding that antibiotic resistance did not change during the progressive cycles of therapy might be explained by the fact that initial induction chemotherapy is the most aggressive cycle of chemotherapy; always administered at hospital; with the host in the weakest state, and with a high antibiotic pressure. In the present study, we found early and overall mortality rates of 3.7% and 14.8% respectively, with a related mortality of 8.7%. These findings are consistent with other studies involving patients with haematological malignancies [4-6,12,21]. We identify some factors related with overall mortality (older age, chronic lung disease, fatal prognosis according to McCabe index, shock at onset, pulmonary source of infection) that concords with previous research conducted mainly in patients with overall haematological malignances [22-25]. Also, we identify that inadequate empirical therapy for MDR-PA BSI was associated with an 11-fold increase in mortality. This factor is important because it can be modified. The incidence of MDR-PA has recently increased worldwide [26,27]. The impact of inappropriate empirical antibiotic therapy in mortality of BSI caused by MDR-PA has been a matter of debate for many years with conflicting results [28-30]. The discrepancies among studies reflect the complexity of this infection and the key role that antibiotic therapy not only plays, but as well as host factors, source of infection or removal of infection site. However, to our best knowledge, specific studies on the impact of inappropriate antibiotic therapy in BSI caused by MDR-PA in AL population have not been previously reported. Improving the recognition of patients with AL and BSI at risk of MDR-PA is mandatory. We identified that those patients with prior antipseudomonal cephalosporin use, those who had current use of betalactamics, and those with shock at onset or/and pulmonary source of infection had a high risk for BSI caused by MDR-PA. Surveillance data of the resistance mechanisms of PA in the geographical area or institution may help to choose the best optimal antibiotic regimen. Whether the screening of MDR-strains colonization might help to diminish inappropriate empirical antibiotic therapy remains a matter of debate [31,32]. Initial approach of these patients with an empirical antibiotic therapy comprising of a combination of a carbapenem in continuous infusion, with either an aminoglycoside or a different antipseudomonal approach including ceftolozane/tazobactam, might be suitable options. The strengths of this study are the large number of patients included, the prospective collection of the data, and the comprehensive clinical and microbiologic data gathered. However, there are some limitations that should be acknowledged. Our study was conducted at a single center; considering that different microbiological epidemiology varies widely from hospital to hospital and even in different wards of the same hospital, it is difficult to generalize some conclusions drawn. Furthermore, we perform quinolone prophylaxis for patients expecting to have a neutropenia longer than 10 days, making our results perhaps different from those other centers who do not perform prophylaxis. In conclusion, we found a similar proportion of Gram-positive and Gram-negative organisms producing BSI in patients with AL, without changes according to the chemotherapy phase. MDR microorganisms were frequent and commonly received inadequate empirical antibiotic therapy. Mortality in patients with AL and BSI remains high, especially in older patients with poor baseline prognosis, and in patients with severe infection at onset. Improving empirical antibiotic treatment, especially for patients with BSI caused by MDR-PA, is needed. There must be a high suspicion of infection caused by MDR-PA in patients presenting with prior antipseudomonal cephalosporin use, current use of betalactamics at BSI onset, shock, or pulmonary source of infection. (SAV) Click here for additional data file.
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Journal:  Infect Dis (Lond)       Date:  2015-05-29

7.  Current epidemiology and antimicrobial resistance data for bacterial bloodstream infections in patients with hematologic malignancies: an Italian multicentre prospective survey.

Authors:  E M Trecarichi; L Pagano; A Candoni; D Pastore; C Cattaneo; R Fanci; A Nosari; M Caira; A Spadea; A Busca; N Vianelli; M Tumbarello
Journal:  Clin Microbiol Infect       Date:  2014-12-03       Impact factor: 8.067

8.  Fecal colonization and infection with Pseudomonas aeruginosa in recipients of allogeneic hematopoietic stem cell transplantation.

Authors:  L Nesher; K V I Rolston; D P Shah; J T Tarrand; V Mulanovich; E J Ariza-Heredia; R F Chemaly
Journal:  Transpl Infect Dis       Date:  2014-12-27       Impact factor: 2.228

9.  Factors associated with mortality in bacteremic patients with hematologic malignancies.

Authors:  Mario Tumbarello; Teresa Spanu; Morena Caira; Enrico M Trecarichi; Luca Laurenti; Eva Montuori; Luana Fianchi; Fiammetta Leone; Giovanni Fadda; Roberto Cauda; Livio Pagano
Journal:  Diagn Microbiol Infect Dis       Date:  2009-04-02       Impact factor: 2.803

10.  Longitudinal surveillance of bacteraemia in haematology and oncology patients at a UK cancer centre and the impact of ciprofloxacin use on antimicrobial resistance.

Authors:  S Schelenz; D Nwaka; P R Hunter
Journal:  J Antimicrob Chemother       Date:  2013-02-08       Impact factor: 5.790

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  18 in total

Review 1.  Update of clinical application in ceftazidime-avibactam for multidrug-resistant Gram-negative bacteria infections.

Authors:  Sisi Zhen; Hui Wang; Sizhou Feng
Journal:  Infection       Date:  2022-07-04       Impact factor: 3.553

2.  Impact of Empirical Antibiotic Regimens on Mortality in Neutropenic Patients with Bloodstream Infection Presenting with Septic Shock.

Authors:  Mariana Chumbita; Pedro Puerta-Alcalde; Carlota Gudiol; Nicole Garcia-Pouton; Júlia Laporte-Amargós; Andrea Ladino; Adaia Albasanz-Puig; Cristina Helguera; Alba Bergas; Ignacio Grafia; Enric Sastre; María Suárez-Lledó; Xavier Durà; Carlota Jordán; Francesc Marco; Maria Condom; Pedro Castro; Jose A Martínez; Josep Mensa; Alex Soriano; Jordi Carratalà; Carolina Garcia-Vidal
Journal:  Antimicrob Agents Chemother       Date:  2021-11-29       Impact factor: 5.938

3.  Clinical Predictive Model of Multidrug Resistance in Neutropenic Cancer Patients with Bloodstream Infection Due to Pseudomonas aeruginosa.

Authors:  C Gudiol; A Albasanz-Puig; J Laporte-Amargós; N Pallarès; A Mussetti; I Ruiz-Camps; P Puerta-Alcalde; E Abdala; C Oltolini; M Akova; M Montejo; M Mikulska; P Martín-Dávila; F Herrera; O Gasch; L Drgona; H Paz Morales; A-S Brunel; E García; B Isler; W V Kern; I Morales; G Maestro-de la Calle; M Montero; S S Kanj; O R Sipahi; S Calik; I Márquez-Gómez; J I Marin; M Z R Gomes; P Hemmatti; R Araos; M Peghin; J L Del Pozo; L Yáñez; R Tilley; A Manzur; A Novo; J Carratalà
Journal:  Antimicrob Agents Chemother       Date:  2020-03-24       Impact factor: 5.191

4.  Clinical Characteristics and Outcome of Bloodstream Infections in HIV-Infected Patients with Cancer and Febrile Neutropenia: A Case-Control Study.

Authors:  José M Miró; Carolina Garcia-Vidal; Pedro Puerta-Alcalde; Juan Ambrosioni; Mariana Chumbita; Marta Hernández-Meneses; Nicole Garcia-Pouton; Celia Cardozo; Estela Moreno-García; Francesc Marco; Josep Mensa; Montserrat Rovira; Jordi Esteve; Jose A Martínez; Felipe García; Josep Mallolas; Alex Soriano
Journal:  Infect Dis Ther       Date:  2021-04-11

5.  Dysbiosis patterns during re-induction/salvage versus induction chemotherapy for acute leukemia.

Authors:  Armin Rashidi; Thomas Kaiser; Robin Shields-Cutler; Carolyn Graiziger; Shernan G Holtan; Tauseef Ur Rehman; Justin Wasko; Daniel J Weisdorf; Gary Dunny; Alexander Khoruts; Christopher Staley
Journal:  Sci Rep       Date:  2019-04-15       Impact factor: 4.379

Review 6.  Febrile Neutropenia in Acute Leukemia. Epidemiology, Etiology, Pathophysiology and Treatment.

Authors:  Bent-Are Hansen; Øystein Wendelbo; Øyvind Bruserud; Anette Lodvir Hemsing; Knut Anders Mosevoll; Håkon Reikvam
Journal:  Mediterr J Hematol Infect Dis       Date:  2020-01-01       Impact factor: 2.576

7.  Induction therapy for acute lymphoblastic leukemia: incidence and risk factors for bloodstream infections.

Authors:  Rosângela Aparecida Mendes Silva; Regina Maria Holanda de Mendonça; Simone Dos Santos Aguiar; Júlia Cervellini Yajima; Fernando Augusto Lima Marson; Silvia Regina Brandalise; Carlos Emílio Levy
Journal:  Support Care Cancer       Date:  2021-08-07       Impact factor: 3.603

8.  Bloodstream infections in adult patients with malignancy, epidemiology, microbiology, and risk factors associated with mortality and multi-drug resistance.

Authors:  Samane Nematolahi; Zahra Shahhosein; Ali Amanati; Sarvin Sajedianfard; Somayeh Khajeh; Shabnam Ghasempour; Salma Mehrangiz
Journal:  BMC Infect Dis       Date:  2021-07-02       Impact factor: 3.090

9.  Cefiderocol-Based Combination Therapy for "Difficult-to-Treat" Gram-Negative Severe Infections: Real-Life Case Series and Future Perspectives.

Authors:  Davide Fiore Bavaro; Alessandra Belati; Lucia Diella; Monica Stufano; Federica Romanelli; Luca Scalone; Stefania Stolfa; Luigi Ronga; Leonarda Maurmo; Maria Dell'Aera; Adriana Mosca; Lidia Dalfino; Salvatore Grasso; Annalisa Saracino
Journal:  Antibiotics (Basel)       Date:  2021-05-29

10.  Risk factors for and clinical outcomes of carbapenem non-susceptible gram negative bacilli bacteremia in patients with acute myelogenous leukemia.

Authors:  Dong Hoon Shin; Dong-Yeop Shin; Chang Kyung Kang; Suhyeon Park; Jieun Park; Kang Il Jun; Taek Soo Kim; Youngil Koh; Jun Shik Hong; Pyoeng Gyun Choe; Wan Beom Park; Nam-Joong Kim; Sung-Soo Yoon; Inho Kim; Myoung-Don Oh
Journal:  BMC Infect Dis       Date:  2020-06-09       Impact factor: 3.090

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