c-peptide and Shock--Septic

Although beta cell dysfunction has been proved to predict prognosis among humans and animals, its prediction on severity of disease remains unclear among children. The present study was aimed to examine the relationship between beta cell dysfunction and severity of disease among critically ill children.This prospective study included 1146 critically ill children, who were admitted to Pediatric Intensive Care Unit (PICU) of Hunan Children's Hospital from November 2011 to August 2013. Information on characteristics, laboratory tests, and prognostic outcomes was collected. Homeostasis model assessment (HOMA)-β, evaluating beta cell function, was used to divide all participants into 4 groups: HOMA-β = 100% (group I, n = 339), 80% ≤ HOMA-β < 100% (group II, n = 71), 40% ≤ HOMA-β < 80% (group III, n = 293), and HOMA-β < 40% (group IV, n = 443). Severity of disease was assessed using the worst Sequential Organ Failure Assessment (SOFA) score, Pediatric Risk of Mortality (PRISM) III score, incidence of organ damage, septic shock, multiple organ dysfunction syndrome (MODS), mechanical ventilation (MV) and mortality. Logistic regression analysis was used to evaluate the risk of developing poor outcomes among patients in different HOMA-β groups, with group I as the reference group.Among 1146 children, incidence of HOMA-β < 100% was 70.41%. C-peptide and insulin declined with the decrement of HOMA-β (P < 0.01). C-reactive protein and procalcitonin levels, rather than white blood cell, were significantly different among 4 groups (P < 0.01). In addition, the worst SOFA score and the worst PRISMIII score increased with declined HOMA-β. For example, the worst SOFA score in group I, II, III, and IV was 1.55 ± 1.85, 1.71 ± 1.93, 1.92 ± 1.63, and 2.18 ± 1.77, respectively. Furthermore, patients with declined HOMA-β had higher risk of developing septic shock, MODS, MV, and mortality, even after adjusting age, gender, myocardial injury, and lung injury. For instance, compared with group I, the multivariate-adjusted odds ratio (95% confidence interval) for developing septic shock was 2.17 (0.59, 8.02), 2.94 (2.18, 6.46), and 2.76 (1.18, 6.46) among patients in group II, III, and IV, respectively.Beta cell dysfunction reflected the severity of disease among critically ill children. Therefore, assessment of beta cell function is critically important to reduce incidence of adverse events in PICU.

Topics: Adolescent; C-Peptide; C-Reactive Protein; Calcitonin; Child; Child, Preschool; Critical Illness; Female; Homeostasis; Humans; Incidence; Infant; Infant, Newborn; Insulin; Insulin-Secreting Cells; Intensive Care Units, Pediatric; Logistic Models; Male; Multiple Organ Failure; Odds Ratio; Organ Dysfunction Scores; Prognosis; Prolactin; Prospective Studies; Respiration, Artificial; Risk Assessment; Risk Factors; Severity of Illness Index; Shock, Septic

The metabolic response to sepsis is dependent on the hormonal status. However, reported plasma hormone levels vary widely among studies. The persistence of pulsatile secretion, as occurs normally, may explain the observed variability. To study whether pulsatile hormone secretion persists during sepsis and how it affects assessment of the hormonal status from single measurements, we measured growth hormone (GH), prolactin, cortisol, insulin, and C-peptide at 20-minute intervals for 24 hours in eight consecutive patients with severe sepsis. Twenty-four-hour averages (mean +/- SD) were 3.3 +/- 2.5 ng/mL for GH, 640 +/- 461 nmol/L for cortisol, 18.2 +/- 4.8 mU/L for insulin, and 3.4 +/- 2.9 U/L for C-peptide, at a pulse frequency between 3.3 +/- 2.7 for C-peptide and 10.2 +/- 3.4 for insulin, and an increase of the maximal value in a pulse above the preceding nadir of 131% +/- 13% for cortisol and 376% +/- 386% for GH, as assessed with Cluster analysis. Prolactin levels were below the detection limit in all but one patient, probably due to the administration of dopamine. To determine the accuracy of less frequent blood sampling regimens, we simulated different sampling strategies and compared them with the 24-hour averages. The accuracy of single samples proved inadequate for all hormones. Sampling every 20 minutes for periods of 4, 8, or 12 hours improved accuracy, but intermittent sampling every 1, 2, 4, or 6 hours during a 24-hour period yielded even more accurate results.(ABSTRACT TRUNCATED AT 250 WORDS)

Topics: Adult; Aged; Aged, 80 and over; Blood Chemical Analysis; C-Peptide; Circadian Rhythm; Cluster Analysis; Female; Growth Hormone; Humans; Hydrocortisone; Insulin; Male; Middle Aged; Prolactin; Reproducibility of Results; Shock, Septic; Time Factors