title: Cytokines and metabolic patterns in pediatric patients with critical illness.
abstract: It is not known if cytokines, which are cell-derived mediators released during the host immune response to stress, affect metabolic response to stress during critical illness. The aim of this prospective study was to determine whether the metabolic response to stress is related to the inflammatory interleukin-6 (IL-6), 10 (IL-10), and other stress mediators' responses and to assess their relationships with different feeding patterns, nutritional markers, the severity of illness as assessed by the Multiple Organ System Failure (MOSF), the Pediatric Risk of Mortality Score (PRISM), systemic inflammatory response syndrome (SIRS), and mortality in critically ill children. Patients were classified as hypermetabolic, normometabolic, and hypometabolic when the measured resting energy expenditures (REE) were >110%, 90-110% and, <90% of the predicted basal metabolic rate, respectively. The initial predominance of the hypometabolic pattern (48.6%) declined within 1 week of acute stress (20%), and the hypermetabolic patterns dominated only after 2 weeks (60%). Only oxygen consumption (VO(2)) and carbon dioxide production (VCO(2)) (P < .0001) but none of the cytokines and nutritional markers, were independently associated with a hypometabolic pattern. REE correlated with the IL-10 but not PRISM. In the presence of SIRS or sepsis, CRP, IL-6, IL-10, Prognostic Inflammatory and Nutritional Index (NI), and triglycerides--but not glucose, VO(2), or VCO(2) increased significantly. High IL-10 levels (P = .0000) and low measured REE (P = .0000) were independently associated with mortality (11.7%), which was higher in the hypometabolic compared to other metabolic patterns (P < .005). Our results showed that only VO(2) and VCO(2), but not IL-6 or IL-10, were associated with a hypometabolic pattern which predominated the acute phase of stress, and was associated with increased mortality. Although in SIRS or sepsis, the cytokine response was reliably reflected by increases in NI and triglycerides, it was different from the metabolic (VO(2), VCO(2)) or glucose response.
authors.affiliation: Division of Pediatric Critical Care Medicine, Children's Hospital of Pittsburgh of UPMC, 3705 Fifth Avenue, Pittsburgh, PA 15213, USA. ggbriass@otenet.gr
authors.forename: George
authors.initials: G
authors.lastname: Briassoulis
authors.forename: Shekhar
authors.initials: S
authors.lastname: Venkataraman
authors.forename: Ann
authors.initials: A
authors.lastname: Thompson
mesh_terms: D015415:Biomarkers / Q000097:blood; D002648:Child; D002675:Child, Preschool; D016638:Critical Illness / Q000453:epidemiology* / Q000401:mortality; D004734:Energy Metabolism / Q000276:immunology; D006801:Humans; D007223:Infant; D016753:Interleukin-10 / Q000097:blood; D015850:Interleukin-6 / Q000097:blood; D009102:Multiple Organ Failure / Q000097:blood / Q000453:epidemiology* / Q000276:immunology* / Q000401:mortality; D015596:Nutrition Assessment; D010101:Oxygen Consumption; D011446:Prospective Studies; D012720:Severity of Illness Index; D012772:Shock, Septic / Q000097:blood / Q000453:epidemiology* / Q000276:immunology* / Q000401:mortality; D013312:Stress, Physiological / Q000276:immunology; D015996:Survival Rate
chemical_list: D015415:Biomarkers; D015850:Interleukin-6; D016753:Interleukin-10