Infections during Non-Neutropenic Episodes in Pediatric Cancer Patients-Results from a Prospective Study in Two Major Large European Cancer Centers.
Stefan SchöningAnke BarnbrockKonrad BochennekKathrin GordonAndreas H GrollThomas LehrnbecherPublished in: Antibiotics (Basel, Switzerland) (2022)
Whereas the clinical approach in pediatric cancer patients with febrile neutropenia is well established, data on non-neutropenic infectious episodes are limited. We therefore prospectively collected over a period of 4 years of data on all infectious complications in children treated for acute lymphoblastic or myeloid leukemia (ALL or AML) and non-Hodgkin lymphoma (NHL) at two major pediatric cancer centers. Infections were categorized as fever of unknown origin (FUO), and microbiologically or clinically documented infections. A total of 210 patients (median age 6 years; 142 ALL, 23 AML, 38 NHL, 7 leukemia relapse) experienced a total of 776 infectious episodes (571 during neutropenia, 205 without neutropenia). The distribution of FUO, microbiologically and clinically documented infections, did not significantly differ between neutropenic and non-neutropenic episodes. In contrast to neutropenic patients, corticosteroids did not have an impact on the infectious risk in non-neutropenic children. All but one bloodstream infection in non-neutropenic patients were due to Gram -positive pathogens. Three patients died in the context of non-neutropenic infectious episodes (mortality 1.4%). Our results well help to inform clinical practice guidelines in pediatric non-neutropenic cancer patients presenting with fever, in their attempt to safely restrict broad-spectrum antibiotics and improve the quality of life by decreasing hospitalization.
Keyphrases
- newly diagnosed
- ejection fraction
- acute myeloid leukemia
- papillary thyroid
- young adults
- gram negative
- coronary artery disease
- type diabetes
- cardiovascular disease
- risk factors
- squamous cell
- childhood cancer
- cardiovascular events
- big data
- computed tomography
- acute respiratory distress syndrome
- deep learning
- urinary tract infection
- contrast enhanced
- aortic dissection