Characteristics and Outcomes of Bloodstream Infections in a Tertiary-Care Pediatric Hematology-Oncology Unit: A 10-Year Study.
Davide MatteiValentina BarettaAnnarita MazzariolLaura MaccacaroRita BalterAda ZaccaronElisa BonettiMatteo ChinelloVirginia VitaleGiulia CaddeoMaria Pia EspostoVincenza PezzellaDavide GibelliniGloria TridelloSimone CesaroPublished in: Journal of clinical medicine (2022)
Bloodstream infections (BSIs) after chemotherapy or hematopoietic stem cell transplantation (HSCT) are a leading cause of morbidity and mortality. Data on 154 BSIs that occurred in 111 onco-hematological patients (57 hematological malignancies, 28 solid tumors, and 26 non-malignant hematological diseases) were retrospectively collected and analyzed. Monomicrobial Gram-positive (GP), Gram-negative (GN), and fungal BSIs accounted for 50% (77/154), 38.3% (59/144), and 3.2% (5/154) of all episodes. Polymicrobial infections were 7.8% (12/154), while mixed bacterial-fungal infections were 0.6% (1/154). The most frequent GN isolates were Escherichia coli (46.9%), followed by Pseudomonas aeruginosa (21.9%), Klebsiella species (18.8%), and Enterobacter species (6.3%). Overall, 18.8% (12/64) of GN organisms were multidrug-resistant (seven Escherichia coli , three Klebsiella pneumoniae , and two Enterobacter cloacae ), whereas GP resistance to glycopeptides was observed in 1% (1/97). Initial empirical antibiotic therapy was deemed inappropriate in 12.3% of BSIs (19/154). The 30-day mortality was 7.1% (11/154), while the bacteremia-attributable mortality was 3.9% (6/154). In multivariate analysis, septic shock was significantly associated with 30-day mortality ( p = 0.0001). Attentive analysis of epidemiology and continuous microbiological surveillance are essential for the appropriate treatment of bacterial infections in pediatric onco-hematological patients.
Keyphrases
- gram negative
- multidrug resistant
- klebsiella pneumoniae
- escherichia coli
- end stage renal disease
- drug resistant
- acinetobacter baumannii
- pseudomonas aeruginosa
- ejection fraction
- chronic kidney disease
- newly diagnosed
- risk factors
- cardiovascular events
- prognostic factors
- tertiary care
- stem cells
- peritoneal dialysis
- palliative care
- biofilm formation
- radiation therapy
- cardiovascular disease
- type diabetes
- deep learning
- acute myeloid leukemia
- young adults
- artificial intelligence
- bone marrow
- big data
- replacement therapy
- combination therapy