Literature DB >> 31661507

Bloodstream infections caused by Escherichia coli in onco-haematological patients: Risk factors and mortality in an Italian prospective survey.

Enrico Maria Trecarichi1, Gabriele Giuliano2, Chiara Cattaneo3, Stelvio Ballanti4, Marianna Criscuolo5, Anna Candoni6, Francesco Marchesi7, Marica Laurino8, Michelina Dargenio9, Rosa Fanci10, Mariagiovanna Cefalo11, Mario Delia12, Angelica Spolzino13, Laura Maracci14, Gianpaolo Nadali15, Alessandro Busca16, Maria Ilaria Del Principe17, Rosa Daffini3, Edoardo Simonetti4, Giulia Dragonetti5, Maria Elena Zannier6, Livio Pagano5,18, Mario Tumbarello2,19.   

Abstract

Bloodstream infections (BSIs) remain life-threatening complications in the clinical course of patients with haematological malignancies (HM) and Escherichia coli represent one of the most frequent cause of such infections. In this study, we aimed to describe risk factors for resistance to third generation cephalosporins and prognostic factors, including the impact of third generation cephalosporins resistance, in patients with HM and BSIs caused by E. coli. Three hundred forty-two cases of E. coli BSIs were collected during the study period (from January 2016 to December 2017). The percentage of resistance to third generation cephalosporins was 25.7%. In multivariate analysis, the variables recent endoscopic procedures, culture-positive surveillance rectal swabs for multidrug-resistant bacteria, antibiotic prophylaxis with fluoroquinolones, and prolonged neutropenia were independently associated with bloodstream infections caused by a third generation cephalosporins resistant E. coli. The overall 30-day mortality rate was 7.1%. Cox regression revealed that significant predictors of mortality were acute hepatic failure, septic shock, male sex, refractory/relapsed HM, and third generation cephalosporins resistance by E. coli isolate. In conclusion, resistance to third generation cephalosporins adversely affected the outcomes of bloodstream infections caused by E. coli in our cohort of HM patients. We also found a significant correlation between prophylaxis with fluoroquinolones and resistance to third generation cephalosporins by E. coli isolates.

Entities:  

Year:  2019        PMID: 31661507      PMCID: PMC6818756          DOI: 10.1371/journal.pone.0224465

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


Introduction

Although several advances have been made in clinical management of patients with haematological malignancies (HM), bloodstream infections (BSIs) remain life-threatening complications in the clinical course of these patients, with reported crude mortality rate up to 40% [1-6]. A clear shift of bacterial species causing BSI in HM patients has been reported during the last decade from Gram-positives to Gram-negatives, and among the latter, Enterobacteriaceae, and in particular Escherichia coli (EC), represent the most frequent involved bacterial species [2,6]. Moreover, a worrisome increase in antimicrobial-resistance among Enterobacteriaceae has been described in HM patients due mainly to production of extended-spectrum-b-lactamases (ESBLs) and/or carbapenemases by bacterial isolates, which often show a multidrug-resistant (MDR) phenotype with limited treatment options [1-3,6,7]. Resistance to third generation cephalosporins (3GC) by Enterobacteriaceae, which represents the major mechanism of antimicrobial resistance among EC isolates, has been reported as independently associated with a poor outcome in HM patients with severe infections caused by EC [4,8,9]. The aim of the present large multicenter study was to identify risk factors for 3GC resistance by EC isolates and prognostic factors, including the impact of 3GC resistance, in HM patients with BSIs caused by EC. The impact of empirical and definitive therapy with carbapenems vs. piperacillin/tazobactam on 30-day mortality was also evaluated.

Methods

We conducted a prospective cohort study in 15 Italian haematological wards of tertiary care centers or university hospitals participating to Haematologic Malignancies Associated Bloodstream Infections Surveillance (HEMABIS) registry–Sorveglianza Epidemiologica Infezioni Fungine in Emopatie Maligne (SEIFEM) group throughout Italy from January 2016 and December 2017. In participating centers where antimicrobial prophylaxis was administered to high-risk patients, it was performed according to Gruppo Italiano Malattie Ematologiche dell’Adulto (GIMEMA) criteria [10]. All HM patients admitted to participating centers were screened at admission for colonization by multidrug-resistant (MDR) bacterial isolates with a rectal swab; each hospital conducted rectal swab screening according to its own protocols, as described elsewhere [11]. All episodes of BSI caused by EC (EC BSI) occurring in hospitalized HM adult patients were included. Data collected from the hospital charts and the laboratory database included patient demographics, disease and disease stage at time of EC BSI, type of hematopoietic stem cell transplantation (HSCT) (autologous or allogeneic), and outcome of infection; for each bacterial isolate, the antimicrobial susceptibility was recovered and analyzed. All information was entered in case report forms and then recorded in a specific database. Recurrent as well as polymicrobial infections were excluded. Patients with 3GC resistant (3GCR) EC BSI were compared with those with 3GC susceptible (3GCS) EC BSI in order to identify risk factors for infection by 3GCR EC isolates. The outcome measured in our EC BSI patients cohort was death within 30 days of the first positive blood culture. Survivor and non-survivor subgroups were compared in order to identify predictors of mortality. Upon approval of ethic committee of the study coordinating center (Fondazione Policlinico Universitario Agostino Gemelli IRCCS–Università Cattolica del Sacro Cuore), also the ethics committee of each participating site approved the use of the HeMABIS-SEIFEM registry and written informed consent was obtained by each patient.

Definitions

The following terms were defined prior to data analysis: EC BSI was defined as an infection manifested by the presence in at least 1 blood culture that grew an EC strain. Neutropenia was defined as an absolute neutrophil count (ANC) <500 neutrophils/μL at the onset of BSI; neutropenia was considered prolonged if the duration was ≥10 days and severe if ANC was <100 neutrophils/μL. EC BSI was considered hospital-acquired if the index culture had been collected >48 hours after admission and signs and symptoms of infection were absent at admission. If cultures had been collected ≤48 hours after the admission date, the isolate was classified as healthcare-associated or community-acquired [12]. The empirical therapy was classified as inadequate if antibiogram demonstrated resistance of EC isolate to the administered antimicrobial(s). Septic shock was defined according to Surviving Sepsis Campaign criteria [13].

Statistical analysis

Continuous variables were compared by Student’s t test for normally distributed variables and the Mann-Whitney U test for non-normally distributed variables. Categorical variables were evaluated using the χ2 or two-tailed Fisher's exact test. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to evaluate the strength of any association that emerged. Values are expressed as means ± standard deviation (SD) (continuous variables), or as percentages of the group from which they were derived (categorical variables). Two-tailed tests were used to determine statistical significance; a P value of <0.05 was considered significant. Multivariate analysis was used to identify independent risk factors for 3GCR EC BSI and Cox regression analysis was conducted to identify independent risk factors for 30-day mortality. Variables emerging from univariate analyses for 3GCR EC BSI and 30-day mortality with P values of <0.1 were included in a backward stepwise manner in the multivariate and the Cox regression models, respectively,. The Kaplan-Meier method was used for survival analysis. All statistical analyses were performed using the Intercooled Stata program, version 11, for Windows (Stata Corporation, College Station, Texas, USA).

Results

A total of 342 cases of EC BSI were collected during the study period. The rate of resistance to 3GC among EC isolates was 25.7% (88/342). Compared to 3GCS EC isolates, 3GCR EC isolates were more likely to be resistant to fluoroquinolones (FQ) (80/88, 90.9%, vs. 161/254, 63.4%; P<0.001), piperacillin/tazobactam (25/88, 28.4%, vs. 34/254, 13.4%; P<0.001), amikacin (23/88, 26.1%, vs. 16/254, 6.3%; P<0.001), and gentamicin (33/88, 37.5%, vs. 35/254, 13.8%; P<0.001) (). Only two EC isolates (0.6%), both resistant to 3GC, displayed resistance to carbapenems.

Risk factors for third-generation resistance in patients with EC BSI

In clinical and epidemiological characteristics of EC BSI cohort patients according to 3GC resistance are shown. Compared to patients with 3GCS EC BSI, those with 3GCR EC BSI more likely had undergone endoscopic procedures (9/88, 10.2%, vs. 7/254, 2.8%; P = 0.004) and/or parenteral nutrition (25/88, 28.4%, vs. 44/254, 17.3%; P = 0.02) and/or allogeneic-matched unrelated HSCT (9/88, 10.2%, vs. 9/254, 3.5%; P = 0.01), had prolonged neutropenia (53/88, 60.2%, vs. 118/254, 46.5%; P = 0.02), had previous MDR Gram-negative bacteria culture-positive surveillance rectal swabs (32/88, 36.4%, vs. 42/254, 16.5%; P<0.001), and received antibiotic prophylaxis with FQ (56/88, 63.6%, vs. 119/254, 46.9%; P = 0.006). Patients suffering from multiple myeloma had more frequently a 3GCS EC BSI (26/254, 10.2% vs. 3/88, 3.4%; P = 0.05). No other variable was associated with 3GCS EC BSI, with particular reference to demographic characteristics, type of HM or primary site of BSI. Abbreviations: CVC, central venous catheter; PICC, peripherally inserted central catheter; PMN, polymorphonuclear leukocytes; 3GCR, 3rd generation cephalosporins resistant; 3GCS, 3rd generation cephalosporins susceptible. §During the last 30 days ^ During the last 90 days In multivariate analysis, the variables recent endoscopic procedures (OR 3.68, 95% CI 1.23–11.01; P = 0.02), MDR bacteria culture-positive surveillance rectal swabs (OR 2.81, 95% CI 1.59–4.95; P<0.001), antibiotic prophylaxis with FQ (OR 1.94, 95% CI 1.16–3.28; P = 0.01), and prolonged neutropenia (OR 1.82, 95% CI 1.08–3.06; P = 0.02) were found to be independently associated with BSI caused by a 3GCR EC isolate ().

Risk factors for 30-day mortality in patients with EC BSI

The 24 (7.1%) patients who died within 30 days of EC BSI onset included 12 of the 88 (13.6%) whose EC isolate was resistant to 3GC and 12/254 (4.7%) who had a BSI caused by a 3GCS EC (P = 0.004). The 30-day survival distributions were also significantly different in HM patients with 3GCR EC BSI vs. 3GCS EC BSI (P = 0.007)(). In univariate analysis (described in ), variables associated to 30-day mortality were: septic shock (14/24, 58.3%, vs. 46/318, 14.5%; P<0.001), altered state of consciousness (11/24, 45.8%, vs. 23/318, 7.2%; P<0.001), acute renal (10/24, 41.7%, vs. 18/318, 5.6%; P<0.001) and/or respiratory (8/24, 33.3%, vs. 11/318, 3.4%; P<0.001) and/or hepatic failure (5/24, 20.8%, vs. 1/318, 0.3%; P<0.001), and 3GC resistance by EC isolate(12/24, 50%, vs. 76/318, 23.9%; P = 0.004). On the other hand, autologous HSCT (1/24, 4.2%, vs. 65/318, 20.4%; P = 0.05) and/or complete remission stage of HM disease (0/24 vs. 66/318, 20.8%; P = 0.01) were significantly associated with survival. No other variable was associate to 30-day mortality, in particular with regard to patient’s characteristics (including neutropenia, regardless of severity and duration), type of HM, and inadequate initial antimicrobial therapy. Abbreviations: PMN, polymorphonuclear leukocytes. In Cox regression, significant predictors of mortality were acute hepatic failure (HR 9.90, 95% CI 3.08–31.73; P<0.001), septic shock (HR 8.56, 95% CI 3.33–21.95; P<0.001), male sex (HR 6.46, 95% CI 2.19–19.01; P = 0.001), refractory/relapsed HM (HR 3.25, 95% CI 1.35–7.83; P = 0.008), and 3GC resistance by EC isolate (HR 3.18, 95% CI 1.36–7.43; P = 0.007) ().

Empirical and definitive antibiotic treatment in patients with EC BSI

Empirical antimicrobial treatment was started within a few hours after the index blood culture was drawn in all 342 cases. In vitro susceptibility testing results showed that empirical therapy was inadequate in 51/342 (14.9%) cases. The rate of initial inadequate antibiotic therapy was significantly more frequent in patients with 3GCR EC BSI compared to those with 3GCS EC BSI (25/88, 28.4% vs. 26/254, 10.2%; P<0.001). Among the 88 patients suffering from 3GCR EC BSI, the 30-day mortality rate did not differ significantly between those initially treated with an antibiotic regimen containing piperacillin/tazobactam compared to other regimens (7/42, 16.7% vs. 5/46, 10.9%; P = 0.42), as well as there was not any significant difference in mortality between patients who had empirically received an antibiotic regimen including a carbapenem compared those treated with other regimens (3/31, 9.7% vs 9/57, 15.8%; P = 0.42). Including only patients who had received empirical regimens based on piperacillin/tazobactam or carbapenems (73/88), there was not any significant difference between those treated with carbapenems compared to those treated with piperacillin/tazobactam (3/31, 9.7% vs. 7/42, 16.7%; P = 0.39). Similarly, among the 84/88 patients with carbapenem-susceptible EC BSI and who had been treated with definitive regimens based on carbapenems or piperacillin/tazobactam, there were no significant differences in the 30-day mortality rates between those treated with carbapenems vs. those treated with piperacillin/tazobactam (9/58, 15.5% vs. 2/26, 7.7%; P = 0.32).

Discussion

In the present study conducted in 15 Italian Haematological Units we found that the rate of resistance to 3GC among EC isolates was 25.7% (88/342). Compared to previous epidemiological data from the HeMABIS-SEIFEM registry collected from 2009 to 2012, the percentage of resistance to 3GC among EC isolates has not increased, rather it is slightly reduced (25.7% vs. 30%) [2]. Similarly, resistance to 3GC among EC isolates was slightly lower than that reported in Italian general population during the same period (2016 to 2017) by Antimicrobial Resistance Surveillance in Europe (EARSS) (25.7% vs. 29.6%) [14] and it was substantially in line with reports conducted in HM or cancer patients in other countries [9,15-17]. These data indicate that, in contrast to other MDR Gram-negative bacteria (e.g. carbapenem-resistant Klebsiella pneumoniae) for which a worrisome increasing trend in frequency has been recently highlighted in the HeMABIS-SEIFEM registry previous survey in HM patients [3], the rate of resistance to 3GC among EC isolates remained stable during the last years. Interestingly, the result was considerably decreased compared to what reported in studies published worldwide in cancer patients from 2007 to 2013 (mean 53.3% rate of resistance to ceftazidime) [1]. We investigated risk factors for 3GCR EC BSI and found that recent endoscopic procedures, previous culture-positive surveillance rectal swabs, prolonged neutropenia, and antibiotic prophylaxis with FQ were independently associated with 3GCR EC BSI. While the first three risk factors have been widely described as related with BSI due to ESBL-producing or MDR Enterobacteriaceae both in general population and in onco-haematological patients [11,18-20], the role of FQ prophylaxis in increased rate of infections caused by MDR Gram-negative bacteria remains actually a topic widely debated, also considering the burden of antimicrobial resistance, particularly in Enterobacteriaceae, worldwide throughout the last decades [1,21]. In line with our results, previous exposure to antimicrobials, and in particular FQ, has been largely demonstrated as one of the most important risk factors for colonization and/or infection by ESBL- or carbapenemase-producing Enterobacteriaceae both in general population and HM patients [1,4,9,16-18,22]. To this regard, European Conference on Infections in Leukemia (ECIL) has recently conducted a meta-analysis in order to evaluate the role of FQ prophylaxis in onco-haematological patients; it concluded that FQ prophylaxis did not have effect on mortality while was associated with lower rate of BSI and episodes of febrile neutropenia without a clear effect of the background rate of FQ resistance on the efficacy of FQ prophylaxis [23]. Despite FQ prophylaxis independently predicted 3GCR, no correlation was found between FQ prophylaxis and 30-day mortality in our cohort of HM patients, and this could at least be partially due to the specific focus of the present study on EC BSIs. The overall 30-day mortality rate in our cohort was 7.0% (24/342); compared to previous studies on EC BSI in HM or cancer patients, it was considerably lower [4,7-9]. By cox regression analysis, the most important risk factors for mortality in our cohort were acute respiratory failure and septic shock at EC BSI onset; not surprisingly, similar variables (e.g. admission to Intensive Care Unit, etc.), indicating clinical severity of BSI, had been reported to be associated with mortality in several previous studies conducted on HM or cancer patients with EC BSI [4,7,9]. Male sex and refractory/relapsed HM also were found to be independently associated with mortality, as previously reported in general or HM populations suffering from bacterial BSIs [24,25]. Finally, the resistance to 3GC by EC isolate emerged as variable independently associated with 30-day mortality in our cohort. In line with our data, antibiotic-resistance by Gram-negative bacteria has been reported to be strongly associated with mortality in several previous studies conducted in HM patients with BSI [1,26]. In particular, ESBL production (i.e. resistance to 3GC) has been associated with mortality in HM or cancer patients with EC BSI [4,8,9]. The relationship between infection with antibiotic resistant bacteria and mortality is not completely clear and it has been often related to a delay in the initiation of an appropriate antibiotic therapy [1,8]. Of note, in our study, inadequacy of empirical antibiotic therapy, although significantly more frequent in patients with 3GCR EC BSI, was not associated with a poorer outcome, in line with other studies [7,9,15,16]. A recent randomized clinical trial investigating the effect of definitive antimicrobial therapy with piperacillin-tazobactam vs. meropenem on 30-day mortality in patients with BSIs caused by ceftriaxone-resistant EC or Klebsiella pneumoniae isolates, demonstrated that definitive treatment with piperacillin-tazobactam failed to be non-inferior to meropenem, thus not supporting the use of piperacillin-tazobactam in this setting [27]. In our prospective observational cohort of 88 3GCR EC BSI patients, we did not find any significant difference in 30-day mortality between those treated both empirically or definitively with regimens based on piperacillin-tazobactam vs. meropenem. These findings are in line with those of Gudiol et al. who have recently conducted a study comparing the efficacy of β-Lactam/β-lactamase inhibitors (BLBLIs) to carbapenems in two cohorts (empirical therapy cohort, 174 patients, and definitive therapy cohort, 251 patients) of haematological neutropenic patients with ESBL-producing Enterobacteriaceae BSI, and did not find any significant difference in 30-day case fatality rates [28]. Probably the role of BLBLIs, and in particular of piperacillin-tazobactam, in treatment 3GCR EC infections should be further investigated, at least in settings as those of HM. This study has some limitations. As it was carried out in a country with a high prevalence of 3GCR EC, the results may not be generalized, in particular for countries with a different epidemiological context. In addition, the mechanisms underlying resistance to 3GC in EC isolates have not been investigated. In conclusion, in this large multicenter Italian prospective study, we found that, although the rate of 3GCR EC remained stable trough the recent years, resistance to 3GC adversely affected the outcomes of EC BSI in HM patients. We also found a significant correlation between FQ prophylaxis and resistance to 3GC by EC isolates, whereas piperacillin/tazobactam as empirical therapy in the overall cohort of EC BSI patients and as etiological therapy among 3GCR EC BSI patients was not associated with a worse outcome compared to carbapenem-based antimicrobial regimens. Further studies are necessary to investigate the actual role of FQ prophylaxis in HM patients, especially in settings with high level of antibiotic resistance, and possible role of piperacillin/tazobactam in treatment of EC BSIs in HM patients.
Table 1

Clinical and demographic characteristics of patients with hematological malignancies and BSI caused by Escherichia coli according to resistance of isolate to third-generation cephalosporins.

Variables3GCR EC BSI(n = 88)3GCS EC BSI(n = 254)P values
Demographic information
    Male sex49 (55.7)149 (58.7)0.62
    Age > 65 years18 (20.5)61 (24.0)0.49
Patient’s characteristics
    Indwelling CVC81 (92.0)223 (87.8)0.27
    Indwelling urinary catheter13 (14.8)40 (15.7)0.82
    Endoscopic procedures§9 (10.2)7 (2.8)0.004
    Parenteral nutrition§25 (28.4)44 (17.3)0.02
    Diabetes mellitus11 (12.5)32 (12.6)0.98
    Chronic hepatic failure1 (1.1)16 (6.3)0.30
    Chronic renal failure1 (1.1)13 (5.1)0.10
    PMN < 500/mmc80 (90.9)227 (89.3)0.68
    PMN < 100/mmc77 (87.5)206 (81.1)0.17
    PMN < 500/mmc for at least 10 days54 (61.4)118 (46.5)0.02
    Corticosteroid treatment§33 (37.5)119 (46.8)0.12
    Chemotherapy§69 (78.4)210 (82.7)0.37
    Radiotherapy§3 (3.4)17 (6.7)0.25
    Therapy with monoclonal antibodies§14 (15.9)41 (16.1)0.95
    Previous antibiotic therapy^28 (31.8)52 (20.5)0.03
Hematological malignancy
    Acute myeloid leukemia/myelodysplastic syndrome51 (58.0)132 (52.0)0.33
    Chronic myeloid leukemia2 (2.3)2 (0.8)0.26
    Acute lymphoblastic leukemia8 (9.1)24 (9.4)0.92
    Lymphomas/chronic lymphoid leukemia24 (27.3)70 (27.6)0.95
    Multiple Myeloma3 (3.4)26 (10.2)0.05
Stage of Hematological Disease
Newly diagnosed / Relapsed after 1st remission21 (23.7)50 (19.7)0.40
Complete remission17 (19.3)49 (19.3)0.99
Refractory / Relapsed after 2 or more remissions17 (19.3)70 (27.6)0.12
Hematopoietic stem cell transplantation33 (37.5)85 (33.5)0.49
    Autologous16 (18.2)50 (19.7)0.75
    Allogeneic-Matched Related3 (3.4)11 (4.3)0.70
    Allogeneic-Matched Unrelated9 (10.2)9 (3.5)0.01
    Allogeneic-Mismatched5 (5.7)15 (5.9)0.94
Characteristics of BBSI
    Hospital acquired72 (81.8)216 (85.1)0.47
    Healthcare-associated16 (18.2)38 (15.0)0.47
Primary site of BSI
    Urinary tract3 (3.4)13 (5.1)0.51
    Respiratory tract2 (2.3)5 (2.0)0.86
    CVC25 (28.4)61 (24.0)0.41
    Others3 (3.4)12 (4.7)0.60
    Unidentified58 (65.9)167 (65.7)0.97
MDR bacteria culture-positive surveillance rectal swabs§32 (36.4)42 (16.5)<0.001
Antibiotic fluoroquinolones prophylaxis56 (63.6)119 (46.9)0.006
Antifungal prophylaxis49 (55.7)137 (53.9)0.77
Time at risk (days, mean ± SD)15 ± 1413 ± 90.22
Inadequate initial antimicrobial therapy25 (28.4)26 (10.2)<0.001
21-day mortality12 (13.6)12 (4.7)0.004

Abbreviations: CVC, central venous catheter; PICC, peripherally inserted central catheter; PMN, polymorphonuclear leukocytes; 3GCR, 3rd generation cephalosporins resistant; 3GCS, 3rd generation cephalosporins susceptible.

§During the last 30 days

^ During the last 90 days

Table 2

Multivariate analysis of risk factors for 3rd generation cephaloporins in patients with hematological malignancies and BSI caused by Escherichia coli.

VariablesOR(95% IC)P values
Recent endoscopic procedures3.68(1.23–11.04)0.02
MDR bacteria culture-positive surveillance rectal swabs2.81(1.59–4.95)<0.001
Antibiotic prophylaxis with fluoroquinolones1.95(1.16–3.28)0.01
PMN < 500/mmc for at least 10 days1.82(1.08–3.06)0.02
Table 3

Univariate analysis of risk factors for mortality in patients with hematological malignancies and BSI caused by Escherichia coli.

VariablesNon-survivors(n = 24)Survivors(n = 318)OR (95% IC)P values
Demographic information
    Male sex19 (79.2)179 (56.3)2.95 (1.03–10.33)0.02
    Age > 65 years8 (33.3)71 (22.3)1.73 (0.61–4.51)0.21
Patient’s characteristics
    Diabetes mellitus5 (20.8)38 (11.9)1.93 (0.53–5.78)0.20
    Chronic hepatic failure3 (12.5)16 (5.0)2.69 (0.46–10.522)0.12
    Chronic renal failure2 (8.3)12 (3.8)2.31 (0.23–11.42)0.27
    PMN < 500/mmc20 (83.3)287 (90.3)0.54 (0.16–2.31)0.28
    PMN < 100/mmc17 (70.8)266 (83.6)0.47 (0.17–1.42)0.10
    PMN < 500/mmc for at least 10 days9 (37.5)163 (51.3)0.57 (0.21–1.43)0.19
    Corticosteroid treatment11 (45.8)141 (44.3)1.06 (0.41–2.65)0.88
    Chemotherapy16 (66.7)263 (82.7)0.41 (0.15–1.19)0.43
    Radiotherapy1 (4.2)19 (6.0)0.68 (0.01–4.71)0.71
    Therapy with monoclonal antibodies5 (20.8)50 (15.7)1.41 (0.39–4.14)0.51
Hematological malignancy
    Acute myeloid leukemia/ myelodysplastic syndrome11 (45.8)172 (54.1)0.71 (0.28–1.79)0.43
    Chronic myeloid leukemia04 (1.3)-0.58
    Acute lymphoblastic leukemia3 (12.5)29 (9.1)1.42 (0.25–5.20)0.58
    Lymphomas/chronic lymphoid leukemia8 (33.3)86 (27.1)1.34 (0.48–3.48)0.50
    Multiple Myeloma2 (8.3)27 (8.5)0.97 (0.10–4.35)0.97
Stage of Hematological Disease
    Newly diagnosed / Relapsed after 1st remission7 (29.2)64 (20.1)1.63 (0.54–4.35)0.29
    Complete remission066 (20.8)-0.01
    Refractory / Relapsed after 2 or more remissions10 (41.7)77 (24.2)2.23 (0.84–5.64)0.06
Hematopoietic stem cell transplantation7 (29.2)111 (34.9)0.76 (0.26–2.02)0.56
    Autologous1 (4.2)65 (20.4)0.16 (0.01–1.08)0.05
    Allogeneic-Matched Related2 (8.3)12 (3.8)2.31 (0.23–11.42)0.27
    Allogeneic-Matched Unrelated1 (4.2)17 (5.3)0.76 (0.01–5.37)0.80
    Allogeneic-Mismatched3 (12.5)17 (5.3)2.52 (0.43–9.78)0.15
Clinical characteristics of BSI
    Septic shock14 (58.3)46 (14.5)8.27 (3.17–21.99)<0.001
    Altered state of consciousness11 (45.8)23 (7.2)10.85 (3.88–29.34)<0.001
    Acute renal failure10 (41.7)18 (5.7)11.90 (4.06–33.26)<0.001
    Acute respiratory failure8 (33.3)11 (3.5)13.95 (4.18–43.85)<0.001
    Acute hepatic failure5 (20.8)1 (0.3)83.42 (8.39–3955.44)<0.001
    Granulocyte transfusion1 (4.2)11 (3.5)1.21 (0.02–9.05)0.58
Antibiotic fluoroquinolones prophylaxis12 (50.0)163 (51.3)0.95 (0.37–2.39)0.90
Inadequate initial antimicrobial therapy2 (8.3)49 (15.4)0.49 (0.05–2.14)0.34
3rd generation cephalosporins resistance by EC isolate12 (50.0)76 (23.9)3.18 (1.24–8.04)0.004

Abbreviations: PMN, polymorphonuclear leukocytes.

Table 4

Cox regression analysis for mortality in patients with hematological malignancies and BSI caused by Escherichia coli.

VariablesHR(95% IC)P values
Acute hepatic failure9.90(3.08–31.73)<0.001
Septic shock8.56(3.33–21.95)<0.001
Male sex6.46(2.19–19.01)0.001
Refractory/Relapsed HM3.25(1.35–7.83)0.008
3rd generation cephalosporins resistance by EC isolate3.18(1.36–7.43)0.007
  26 in total

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Authors:  Young Eun Ha; Cheol-In Kang; Min Kyeong Cha; So Yeon Park; Yu Mi Wi; Doo Ryeon Chung; Kyong Ran Peck; Nam Yong Lee; Jae-Hoon Song
Journal:  Int J Antimicrob Agents       Date:  2013-09-07       Impact factor: 5.283

3.  Risk factors for infection and treatment outcome of extended-spectrum β-lactamase-producing Escherichia coli and Klebsiella pneumoniae bacteremia in patients with hematologic malignancy.

Authors:  Cheol-In Kang; Doo Ryeon Chung; Kwan Soo Ko; Kyong Ran Peck; Jae-Hoon Song
Journal:  Ann Hematol       Date:  2011-05-10       Impact factor: 3.673

4.  Bloodstream infections with gram-negative organisms and the impact of multidrug resistance in patients with hematological malignancies.

Authors:  Sebastian Scheich; Sarah Weber; Claudia Reinheimer; Thomas A Wichelhaus; Michael Hogardt; Volkhard A J Kempf; Johanna Kessel; Hubert Serve; Björn Steffen
Journal:  Ann Hematol       Date:  2018-07-04       Impact factor: 3.673

5.  Incidence and clinical impact of extended-spectrum-beta-lactamase (ESBL) production and fluoroquinolone resistance in bloodstream infections caused by Escherichia coli in patients with hematological malignancies.

Authors:  Enrico M Trecarichi; Mario Tumbarello; Teresa Spanu; Morena Caira; Luana Fianchi; Patrizia Chiusolo; Giovanni Fadda; Giuseppe Leone; Roberto Cauda; Livio Pagano
Journal:  J Infect       Date:  2009-03-09       Impact factor: 6.072

6.  Prognostic factors and scoring model of hematological malignancies patients with bloodstream infections.

Authors:  Yishu Tang; Qian Cheng; Qing Yang; Jing Liu; Di Zhang; Wei Cao; Qingxia Liu; Tianyi Zhou; Huiqi Zeng; Li Zhou; QinJin Wang; Huan Wei; Xin Li
Journal:  Infection       Date:  2018-05-16       Impact factor: 3.553

7.  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

8.  Fluoroquinolone prophylaxis in haematological cancer patients with neutropenia: ECIL critical appraisal of previous guidelines.

Authors:  Malgorzata Mikulska; Diana Averbuch; Frederic Tissot; Catherine Cordonnier; Murat Akova; Thierry Calandra; Marcello Ceppi; Paolo Bruzzi; Claudio Viscoli
Journal:  J Infect       Date:  2017-10-25       Impact factor: 6.072

9.  Bloodstream infections caused by Klebsiella pneumoniae in onco-hematological patients: clinical impact of carbapenem resistance in a multicentre prospective survey.

Authors:  Enrico Maria Trecarichi; Livio Pagano; Bruno Martino; Anna Candoni; Roberta Di Blasi; Gianpaolo Nadali; Luana Fianchi; Mario Delia; Simona Sica; Vincenzo Perriello; Alessandro Busca; Franco Aversa; Rosa Fanci; Lorella Melillo; Federica Lessi; Maria Ilaria Del Principe; Chiara Cattaneo; Mario Tumbarello
Journal:  Am J Hematol       Date:  2016-07-29       Impact factor: 10.047

10.  Antimicrobial Resistance in Gram-Negative Rods Causing Bacteremia in Hematopoietic Stem Cell Transplant Recipients: Intercontinental Prospective Study of the Infectious Diseases Working Party of the European Bone Marrow Transplantation Group.

Authors:  Diana Averbuch; Gloria Tridello; Jennifer Hoek; Malgorzata Mikulska; Hamdi Akan; Lucrecia Yanez San Segundo; Thomas Pabst; Tülay Özçelik; Galina Klyasova; Irene Donnini; Depei Wu; Zafer Gülbas; Tsila Zuckerman; Aida Botelho de Sousa; Yves Beguin; Aliénor Xhaard; Emmanuel Bachy; Per Ljungman; Rafael de la Camara; Jelena Rascon; Isabel Ruiz Camps; Antonin Vitek; Francesca Patriarca; Laura Cudillo; Radovan Vrhovac; Peter J Shaw; Tom Wolfs; Tracey O'Brien; Batia Avni; Gerda Silling; Firas Al Sabty; Stelios Graphakos; Marja Sankelo; Henrik Sengeloev; Srinivas Pillai; Susanne Matthes; Frederiki Melanthiou; Simona Iacobelli; Jan Styczynski; Dan Engelhard; Simone Cesaro
Journal:  Clin Infect Dis       Date:  2017-11-13       Impact factor: 9.079

View more
  8 in total

1.  Characteristics of ESBL-Producing Enterobacterales Colonizing the Gastrointestinal Tract in Patients Admitted to the Oncological Hospital.

Authors:  Maria Szymankiewicz; Tomasz Nowikiewicz; Elżbieta Stefaniuk; Anna Baraniak
Journal:  Curr Microbiol       Date:  2021-01-04       Impact factor: 2.188

2.  Association between the point-rating system used for oral health and the prevalence of Gram-negative bacilli in hematological inpatients: A retrospective cohort study.

Authors:  Kunio Yoshizawa; Akinori Moroi; Ran Iguchi; Hiroshi Yokomichi; Shinji Ogihara; Kazuaki Watanabe; Kei Nakajima; Keita Kirito; Koichiro Ueki
Journal:  Medicine (Baltimore)       Date:  2021-06-04       Impact factor: 1.889

Review 3.  Ceftazidime/Avibactam and Ceftolozane/Tazobactam for Multidrug-Resistant Gram Negatives in Patients with Hematological Malignancies: Current Experiences.

Authors:  Marianna Criscuolo; Enrico Maria Trecarichi
Journal:  Antibiotics (Basel)       Date:  2020-02-03

4.  Compositional and drug-resistance profiling of pathogens in patients with severe acute pancreatitis: a retrospective study.

Authors:  Ning Fan; Yong Hu; Hong Shen; Shengjie Liu; Guang Zhao; Lanju Sun; Chunyan Li; Xin Zhao; Yanning Li; Jianhua Wang; Yunfeng Cui
Journal:  BMC Gastroenterol       Date:  2020-12-01       Impact factor: 3.067

5.  Clinical characteristics and predictors of mortality associated with COVID-19 in elderly patients from a long-term care facility.

Authors:  Enrico Maria Trecarichi; Maria Mazzitelli; Francesca Serapide; Maria Chiara Pelle; Bruno Tassone; Eugenio Arrighi; Graziella Perri; Paolo Fusco; Vincenzo Scaglione; Chiara Davoli; Rosaria Lionello; Valentina La Gamba; Giuseppina Marrazzo; Maria Teresa Busceti; Amerigo Giudice; Marco Ricchio; Anna Cancelliere; Elena Lio; Giada Procopio; Francesco Saverio Costanzo; Daniela Patrizia Foti; Giovanni Matera; Carlo Torti
Journal:  Sci Rep       Date:  2020-11-30       Impact factor: 4.379

6.  Profiling of bacterial bloodstream infections in hematological and oncological patients based on a comparative survival analysis.

Authors:  Sarah Weber; Aaron Magh; Michael Hogardt; Volkhard A J Kempf; Maria J G T Vehreschild; Hubert Serve; Sebastian Scheich; Björn Steffen
Journal:  Ann Hematol       Date:  2021-05-03       Impact factor: 3.673

7.  The Impact of Bacterial Biofilms on End-Organ Disease and Mortality in Patients with Hematologic Malignancies Developing a Bloodstream Infection.

Authors:  Enea Gino Di Domenico; Francesco Marchesi; Ilaria Cavallo; Luigi Toma; Francesca Sivori; Elena Papa; Antonio Spadea; Giuseppina Cafarella; Irene Terrenato; Grazia Prignano; Fulvia Pimpinelli; Arianna Mastrofrancesco; Giovanna D'Agosto; Elisabetta Trento; Aldo Morrone; Andrea Mengarelli; Fabrizio Ensoli
Journal:  Microbiol Spectr       Date:  2021-08-18

8.  Bloodstream Infections in Patients with Hematologic Diseases: Causative Organisms and Factors Associated with Resistance.

Authors:  Hyeah Choi; Hyojin Ahn; Raeseok Lee; Sung-Yeon Cho; Dong-Gun Lee
Journal:  Infect Chemother       Date:  2022-06
  8 in total

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