Literature DB >> 22584776

Predictive value of interleukin-5 and monocyte chemotactic protein-1 for bacteremia in children with febrile neutropenia.

Victor M Aquino1, Carrye Cost, Ana Gomez, Daniel C Bowers, Octavio Ramilo, Naveed Ahmad, Naomi Winick, Patrick J Leavey.   

Abstract

A variety of clinical and laboratory parameters have been used to predict bacteremia. We hypothesize that the generation of a cytokine profile could be used to identify patients at higher risk of bacteremia at the time of presentation with febrile neutropenia. We prospectively evaluated children with cancer who presented with an episode of febrile neutropenia. A multiplexed flow cytometric assay was performed which measured 15 cytokines and chemokines obtained before the initiation of antibiotics. Fifty-eight episodes of chemotherapy-induced febrile neutropenia were included in this study during which 4 patients (7%) had bacteremia. An interleukin-5 level of >8 pg/dL had a sensitivity of 67% and a specificity of 96% to predict bacteremia. An monocyte chemotactic protein-1 level >1650 pg/dL had a sensitivity of 80% and a specificity of 82% to predict bacteremia. Erythrocyte sedimentation rate, C-reactive protein, protein C, and other cytokines/chemokines were not predictive of bacteremia. Elevations of interleukin-5 and monocyte chemotactic protein-1 are predictive of bacteremia in children with cancer who have febrile neutropenia. Prospective studies should be undertaken to determine whether these parameters retain predictive value in a larger series of patients and can select children for outpatient management or early discharge.

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Year:  2012        PMID: 22584776     DOI: 10.1097/MPH.0b013e31824e498d

Source DB:  PubMed          Journal:  J Pediatr Hematol Oncol        ISSN: 1077-4114            Impact factor:   1.289


  4 in total

1.  The C-Reactive Protein to Albumin Ratio as a Predictor of Severe Side Effects of Adjuvant Chemotherapy in Stage III Colorectal Cancer Patients.

Authors:  Tetsuro Tominaga; Takashi Nonaka; Yorihisa Sumida; Shigekazu Hidaka; Terumitsu Sawai; Takeshi Nagayasu
Journal:  PLoS One       Date:  2016-12-08       Impact factor: 3.240

Review 2.  Biomarkers of sepsis: time for a reappraisal.

Authors:  Charalampos Pierrakos; Dimitrios Velissaris; Max Bisdorff; John C Marshall; Jean-Louis Vincent
Journal:  Crit Care       Date:  2020-06-05       Impact factor: 9.097

3.  Biomarkers for Diagnosing Febrile Illness in Immunocompromised Children: A Systematic Review of the Literature.

Authors:  Fabian J S van der Velden; Andrew R Gennery; Marieke Emonts
Journal:  Front Pediatr       Date:  2022-03-10       Impact factor: 3.418

Review 4.  Biomarkers Predicting Tissue Pharmacokinetics of Antimicrobials in Sepsis: A Review.

Authors:  Maria Sanz Codina; Markus Zeitlinger
Journal:  Clin Pharmacokinet       Date:  2022-02-25       Impact factor: 5.577

  4 in total

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