| Literature DB >> 28542412 |
Jason R Conn1, Elizabeth M Catchpoole2, Naomi Runnegar3,4, Sally J Mapp1,3, Kate A Markey1,3,5,6,7.
Abstract
Febrile neutropenia (FN) is a medical emergency and can represent a life-threatening complication for hematology patients treated with intensive chemotherapy regimens. In clinical practice, the diagnostic yield of blood cultures and other investigations which aim to identify a causative organism or site of infection is low. We have retrospectively examined all blood cultures collected in a "real world" cohort of patients receiving chemotherapy for acute leukemia and patients with aggressive lymphoma treated with Hyper-CVAD/MTX-cytarabine, at a single tertiary center over a five-year period. In this cohort, the 30-day mortality following confirmed blood stream infection (BSI) was 5.9%, which is lower than most reports in the recent literature. We compared the blood culture results of inpatients undergoing induction chemotherapy and outpatients presenting with fevers and found a significantly higher rate of proven BSI in the outpatient group. In all settings, gram-negative organisms were most common. The rate of resistance to first-line empiric antibiotics among pathogenic isolates was 11.6% in the whole cohort, independent of blood culture circumstances. There was a trend to higher resistance rates among inpatients undergoing induction chemotherapy compared to patients presenting to the emergency department (17.4% vs 7.5%) but this did not reach statistical significance. We also report low rates of ciprofloxacin resistance (5% of isolates), in a center where universal fluoroquinolone prophylaxis is not employed. Our low resistance and mortality rates support our current therapeutic strategies, however presence of resistant organisms across the spectrum of indications for BC collection highlights the importance of surveilling local patterns, escalating antimicrobial therapy in the deteriorating patient, and considering advanced techniques for the rapid identification of resistance in this patient population.Entities:
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Year: 2017 PMID: 28542412 PMCID: PMC5438184 DOI: 10.1371/journal.pone.0178059
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
High risk patient demographics, 2010–2014.
| Characteristic | Acute Leukemia | High risk lymphoma |
|---|---|---|
| n | 151 | 61 |
| Number female (%) | 70 (46.4%) | 18 (29.5%) |
| Age (median +/- SD) | 51 +/- 17.3 | 53 +/-15.5 |
| Diagnosis, n (%) | ||
| Acute myeloid leukemia | 93 (62.4) | - |
| Acute promyelocytic leukemia | 22 (14.7) | - |
| B-acute lymphoblastic leukemia | 23 (15.4) | - |
| T- acute lymphoblastic leukemia | 7 (4.6) | - |
| Other (acute leukemia group) | 6 (4.6) | - |
| Diffuse large B cell lymphoma (DLBCL) | - | 12 (19.7) |
| Mantle cell lymphoma | - | 10 (16.39) |
| Burkitt Lymphoma | - | 10 (16.4) |
| DLBCL/Burkitt Intermediate | - | 6 (9.84) |
| Plasmablastic lymphoma | - | 5 (8.2) |
| Lymphoblastic lymphoma | - | 4 (6.5) |
| Anaplastic large cell lymphoma | - | 5 (8.2) |
| Other (high risk lymphoma group) | - | 9 (14.6) |
a “Other” patients in the acute leukemia group included 1 patient with refractory anemia with excess blasts-2 (RAEB-2) myelodysplastic syndrome who received induction chemotherapy, 2 patients each with blast-crisis chronic myeloid leukemia and acute erythroleukemia, one patient with blastic plasmacytoid dendritic cell neoplasm, and one patient with myelodysplastic syndrome/myeloproliferative neoplasm (MDS/MPN) overlap disease with leukaemia cutis.
b “Other” patients in the high risk lymphoma group included one patient with each of the following conditions: B cell lymphoproliferative disorder unclassifiable, with leptomeningeal and bone marrow involvement, gamma-delta T cell lymphoma, cutaneous T cell lymphoma, DLBCL/cHL intermediate lymphoma, aggressive B-NHL not otherwise specified, undifferentiated haematological malignancy (CD43+, Bob-1+), NKT cell lymphoma, and 2 patients with AITL.
Fig 1Blood culture episodes.
Blood culture episodes are divided into neutropenic (ANC <0.5 x 109/L) and non-neutropenic. Cultures are classified into negative and positive, and the positive results are sub-classified depending on whether they were positive for a contaminant or a pathogenic organism.
Fig 2Blood culture episodes among inpatients receiving induction chemotherapy and outpatients presenting to the emergency department.
A) Blood culture episodes among the 161 patients admitted for induction chemotherapy, divided as described in Fig 1. B) Blood culture episodes among patients presenting to the emergency department with a febrile episode.
Organisms isolated in the cohort, by ANC at time of collection.
| Neutropenic | Non-neutropenic | |||
|---|---|---|---|---|
| Proven BSI (n) | 310 | 133 | ||
| 91 | 83 | |||
| 219 | 50 | |||
| 161 | 34 | |||
| 48 | 9 | |||
| 36 | 2 | |||
| 33 | 4 | |||
| 31 | 6 | |||
| 3 | 4 | |||
| 42 | 9 | |||
| 20 | (48%) | 1 | ||
| 10 | (24%) | 4 | ||
| 7 | (17%) | 3 | ||
| 5 | 4 | |||
| 8 | 3 | |||
| 1 | 0 | - | ||
aAnaerobes isolated were: Bacteroides fragilis, Clostridium septicum, Egerthella lenta and Lactobacillus species.
b Multipathogen infections were comprised of: Klebsiella oxytoca + Serratia liquifaciens, Klebsiella pneumoniae + Achromobacter xyloxidans, Klebsiella pneumonia + Stenotrophamonas maltiphilia, Eschericia coli + Enterobacter cloacae, Raoultella ornitholytica + Staphylococcus aureus, Klebsiella pneumoniae + Pseudomonas aeuruginosa, Streptococcus mitus and salivarius, Fusobacterium nucleatum + Streptococcus mitis, Klebsiella pneumoniae + Proteus vulgaris, and Eschericia coli + Klebsiella pneumoniae + Streptococcus vestibularis.
c Candida albicans
Organisms by inpatient for induction chemotherapy vs outpatient emergency presentation.
| Inpatient for induction | Emergency presentations | ||||
|---|---|---|---|---|---|
| Total positive cultures | 145 | 97 | |||
| 76 | 18 | ||||
| 69 | 79 | ||||
| 44 | 65 | ||||
| 10 | 20 | ||||
| 6 | 15 | ||||
| 12 | 15 | ||||
| 7 | 13 | ||||
| 2 | - | - | |||
| 3 | 1 | ||||
| 0 | - | 1 | |||
| 4 | 0 | - | |||
| 17 | 8 | ||||
| 6 | (35.3%) | 4 | |||
| 7 | (41.2%) | 1 | |||
| 1 | (5.9%) | 3 | |||
| 3 | (17.6%) | - | - | ||
| 3 | 2 | ||||
| 4 | 5 | ||||
| 1 | 0 | - | |||