Accès gratuit
Numéro
Méd. Intensive Réa.
Volume 25, Numéro 6, Novembre 2016
Néphrologie et métabolisme
Page(s) 604 - 618
Section Mise au point / Update
DOI https://doi.org/10.1007/s13546-016-1220-5
Publié en ligne 10 octobre 2016
  • Vincent JL, Bruzzi de Carvalho F (2010) Severity of illness. Semin Respir Crit Care Med 31:31–8 [CrossRef] [PubMed] [Google Scholar]
  • Lacroix J, Cotting J, Pediatric Acute Lung Injury and Sepsis Investigators (PALISI) Network (2005) Severity of illness and organ dysfunction scoring in children. Pediatr Crit Care Med 6:S126–S34 [CrossRef] [PubMed] [Google Scholar]
  • Marcin JP, Pollack MM (2007) Review of the acuity scoring systems for the pediatric intensive care unit and their use in quality improvement. J Intensive Care Med 22:131–40 [CrossRef] [PubMed] [Google Scholar]
  • Martinot A, Leclerc F, Hue V, et al (1995) Les scores de gravité généraux en réanimation pédiatrique. Réanimation Urgences 4:335–63 [CrossRef] [Google Scholar]
  • Bakhshi-Raiez F, Peek N, Bosman RJ, de Jonge E, de Keizer NF (2007) The impact of different prognostic models and their customization on institutional comparison of intensive care units. Crit Care Med 35:2553–60 [CrossRef] [PubMed] [Google Scholar]
  • Pollack MM, Holubkov R, Funai T, et al (2016) The Pediatric Risk of Mortality Score: update 2015. Pediatr Crit Care Med 17:2–9 [CrossRef] [PubMed] [Google Scholar]
  • Leteurtre S, Duhamel A, Grandbastien B, et al (2010) Daily estimation of the severity of multiple organ dysfunction syndrome in critically ill children. CMAJ 182:1181–7 [CrossRef] [PubMed] [Google Scholar]
  • Straney L, Clements A, Parslow RC, et al (2013) Pediatric index of mortality 3: an updated model for predicting mortality in pediatric intensive care. Pediatr Crit Care Med 14:673–81 [CrossRef] [PubMed] [Google Scholar]
  • Wilkinson JD, Pollack MM, Ruttimann UE, Glass NL, Yeh TS (1986) Outcome of pediatric patients with multiple organ system failure. Crit Care Med 14:271–4 [CrossRef] [PubMed] [Google Scholar]
  • Proulx F, Fayon M, Farrell CA, Lacroix J, Gauthier M (1996) Epidemiology of sepsis and multiple organ dysfunction syndrome in children. Chest 109:1033–7 [CrossRef] [PubMed] [Google Scholar]
  • Leteurtre S, Martinot A, Duhamel A, et al (2003) Validation of the pediatric logistic organ dysfunction (PELOD) score: prospective, observational, multicentre study. Lancet 362:192–7 [CrossRef] [PubMed] [Google Scholar]
  • Leteurtre S, Duhamel A, Grandbastien B, Lacroix J, Leclerc F (2006) Pediatric logistic organ dysfunction (PELOD) score. Lancet 367:897 [CrossRef] [Google Scholar]
  • Ferreira FL, Bota DP, Bross A, Mélot C, Vincent JL (2001) Serial evaluation of the SOFA score to predict outcome in critically ill patients. JAMA 286:1754–8 [CrossRef] [PubMed] [Google Scholar]
  • Villeneuve A, Joyal JS, Proulx F, Ducruet T, Poitras N, Lacroix J (2016) Multiple organ dysfunction syndrome in critically ill children: clinical value of two lists of diagnostic criteria. Ann Intensive Care 6:40 [CrossRef] [PubMed] [Google Scholar]
  • Vincent JL, Moreno R (2010) Clinical review: scoring systems in the critically ill. Crit Care 14:207 [CrossRef] [PubMed] [Google Scholar]
  • Yeh TS, Pollack MM, Ruttimann UE, Holbrook PR, Fields AI (1984) Validation of a physiologic stability index for use in critically ill infants and children. Pediatr Res 18:445–51 [CrossRef] [PubMed] [Google Scholar]
  • Pollack MM, Ruttimann UE, Getson PR (1988) Pediatric risk of mortality (PRISM) score. Crit Care Med 16:1110–6 [CrossRef] [PubMed] [Google Scholar]
  • Pollack MM, Patel KM, Ruttimann UE (1996) PRISM III: an updated Pediatric Risk of Mortality Score. Crit Care Med 24:743–52 [CrossRef] [PubMed] [Google Scholar]
  • VPS PICU. In: http://www.myvps.org/. https://www.myvps.org/ [Google Scholar]
  • Pollack MM, Dean JM, Butler J, et al (2013) The ideal time interval for critical care severity-of-illness assessment. Pediatr Crit Care Med 14:448–53 [CrossRef] [PubMed] [Google Scholar]
  • Shann F, Pearson G, Slater A, Wilkinson K (1997) Pediatric index of mortality (PIM): a mortality prediction model for children in intensive care. Intensive Care Med 23:201–7 [CrossRef] [PubMed] [Google Scholar]
  • Slater A, Shann F, Pearson G, Pediatric Index of Mortality (PIM) Study Group (2003) PIM2: a revised version of the Pediatric Index of Mortality. Intensive Care Med 29:278–85 [CrossRef] [PubMed] [Google Scholar]
  • Wolfler A, Osello R, Gualino J, et al (2016) The importance of mortality risk assessment: Validation of the Pediatric Index of Mortality 3 Score. Pediatr Crit Care Med 17:251–6 [CrossRef] [PubMed] [Google Scholar]
  • Gulla KM, Sachdev A (2016) Illness severity and organ dysfunction scoring in pediatric intensive care unit. Indian J Crit Care Med 20:27–35 [CrossRef] [PubMed] [Google Scholar]
  • Leteurtre S, Martinot A, Duhamel A, et al (1999) Development of a pediatric multiple organ dysfunction score: use of two strategies. Med Decis Making 19:399–410 [CrossRef] [PubMed] [Google Scholar]
  • Garcia PCR, Eulmesekian P, Branco RG, et al (2010) External validation of the pediatric logistic organ dysfunction score. Intensive Care Med 36:116–22 [CrossRef] [PubMed] [Google Scholar]
  • Leteurtre S, Duhamel A, Salleron J, et al (2013) PELOD-2: an update of the Pediatric Logistic Organ Dysfunction Score. Crit Care Med 41:1761–73 [CrossRef] [PubMed] [Google Scholar]
  • Leteurtre S, Duhamel A, Deken V, Lacroix J, Leclerc F; Groupe Francophone de Réanimation et Urgences Pédiatriques (2015) Daily estimation of the severity of organ dysfunctions in critically ill children by using the PELOD-2 score. Crit Care 19:324 [CrossRef] [PubMed] [Google Scholar]
  • Graciano AL, Balko JA, Rahn DS, Ahmad N, Giroir BP (2005) The Pediatric Multiple Organ Dysfunction Score (P-MODS): development and validation of an objective scale to measure the severity of multiple organ dysfunction in critically ill children. Crit Care Med 33:1484–91 [CrossRef] [PubMed] [Google Scholar]
  • Shann F (2002) Are we doing a good job: PRISM, PIM and all that. Intensive Care Med 28:105–7 [CrossRef] [PubMed] [Google Scholar]
  • Keegan MT, Gajic O, Afessa B (2011) Severity of illness scoring systems in the intensive care unit. Crit Care Med 39:163–9 [CrossRef] [PubMed] [Google Scholar]
  • Deeks JJ, Altman DG (1999) Sensitivity and specificity and their confidence intervals cannot exceed 100%. BMJ 318:193–4 [CrossRef] [Google Scholar]
  • Lemeshow S, Hosmer DW (1982) A review of goodness of fit statistics for use in the development of logistic regression models. Am J Epidemiol 115:92–106 [PubMed] [Google Scholar]
  • Peek N, Arts DG, Bosman RJ, van der Voort PH, de Keizer NF (2007) External validation of prognostic models for critically ill patients required substantial sample sizes. J Clin Epidemiol 60:491–501 [CrossRef] [PubMed] [Google Scholar]
  • Murphy-Filkins R, Teres D, Lemeshow S, Hosmer DW (1996) Effect of changing patient mix on the performance of an intensive care unit severity-of-illness model: how to distinguish a general from a specialty intensive care unit. Crit Care Med 24:1968–73 [CrossRef] [PubMed] [Google Scholar]
  • Pearson GA, Stickley J, Shann F (2001) Calibration of the pediatric index of mortality in UK pediatric intensive care units. Arch Dis Child 84:125–8 [CrossRef] [PubMed] [Google Scholar]
  • Tibby SM, Murdoch IA (2002) Calibration of the pediatric index of mortality score for UK pediatric intensive care. Arch Dis Child 86:65; author reply 65–66 [CrossRef] [Google Scholar]
  • Minne L, Abu-Hanna A, de Jonge E (2008) Evaluation of SOFA-based models for predicting mortality in the ICU: a systematic review. Crit Care 12:R161 [CrossRef] [PubMed] [Google Scholar]
  • Metnitz PG, Lang T, Vesely H, Valentin A, Le Gall JR (2000) Ratios of observed to expected mortality are affected by differences in case mix and quality of care. Intensive Care Med 26:1466–72 [CrossRef] [PubMed] [Google Scholar]
  • Metnitz B, Schaden E, Moreno R, et al (2009) Austrian validation and customization of the SAPS 3 Admission Score. Intensive Care Med 35:616–22 [CrossRef] [PubMed] [Google Scholar]
  • Kramer AA, Higgins TL, Zimmerman JE (2014) Comparison of themortality probability admission model III, national quality forum, and acute physiology and chronic health evaluation IV hospital mortality models: implications for national benchmarking. Crit Care Med 42:544–53 [CrossRef] [PubMed] [Google Scholar]
  • Wolfler A, Silvani P, Musicco M, Salvo I; Italian Pediatric Sepsis Study (SISPe) Group (2007) Pediatric Index of Mortality 2 score in Italy: a multicenter, prospective, observational study. Intensive Care Med 33:1407–13 [CrossRef] [PubMed] [Google Scholar]
  • Vincent JL, Opal SM, Marshall JC (2010) Ten reasons why we should NOT use severity scores as entry criteria for clinical trials or in our treatment decisions. Crit Care Med 38:283–7 [CrossRef] [PubMed] [Google Scholar]
  • Lacroix J, Hébert PC, Hutchison JS, et al (2007) Transfusion strategies for patients in pediatric intensive care units. N Engl J Med 356:1609–19 [CrossRef] [PubMed] [Google Scholar]
  • Bernard GR, Vincent JL, Laterre PF, et al (2001) Efficacy and safety of recombinant human activated protein C for severe sepsis. N Engl J Med 344:699–709 [CrossRef] [PubMed] [Google Scholar]
  • Glance LG, Osler T, Shinozaki T (2000) Effect of varying the case mix on the standardized mortality ratio and W statistic: a simulation study. Chest 117:1112–7 [CrossRef] [PubMed] [Google Scholar]
  • Leteurtre S, Grandbastien B, Leclerc F, et al (2012) International comparison of the performance of the pediatric index of mortality (PIM) 2 score in two national data sets. Intensive Care Med 38:1372–80 [CrossRef] [PubMed] [Google Scholar]
  • Kramer AA, Higgins TL, Zimmerman JE (2015) Comparing observed and predicted mortality among ICUs using different prognostic systems: why do performance assessments differ? Crit Care Med 43:261–9 [CrossRef] [PubMed] [Google Scholar]
  • Namachivayam P, Shann F, Shekerdemian L, et al (2010) Three decades of pediatric intensive care: Who was admitted, what happened in intensive care, and what happened afterward. Pediatr Crit Care Med 11:549–55 [CrossRef] [PubMed] [Google Scholar]
  • Epstein D, Wong CF, Khemani RG, et al (2011) Race/ethnicity is not associated with mortality in the PICU. Pediatrics 127:e588–e97 [CrossRef] [PubMed] [Google Scholar]
  • Pollack MM, Holubkov R, Funai T, et al (2015) Simultaneous prediction of new morbidity, mortality, and survival without new morbidity from pediatric intensive care: a new paradigm for outcomes assessment. Crit Care Med 43:1699–709 [CrossRef] [PubMed] [Google Scholar]
  • Pollack MM, Holubkov R, Glass P, et al (2009) Functional Status Scale: new pediatric outcome measure. Pediatrics 124:e18–e28 [CrossRef] [PubMed] [Google Scholar]
  • Aspesberro F, Mangione-Smith R, Zimmerman JJ (2015) Health-related quality of life following pediatric critical illness. Intensive Care Med 41:1235–46 [CrossRef] [PubMed] [Google Scholar]
  • Varni JW, Seid M, Kurtin PS (2001) PedsQL 4.0: reliability and validity of the Pediatric Quality of Life Inventory version 4.0 generic core scales in healthy and patient populations. Med Care 39:800–12 [CrossRef] [PubMed] [Google Scholar]
  • Tessier S, Vuillemin A, Lemelle JL, Briançon S (2009) Propriétés psychométriques du questionnaire générique français « Pediatric Quality of Life Inventory Version 4.0 » (PedsQLTM 4.0). Eur Rev Appl Psychol 59:291–300 [CrossRef] [Google Scholar]
  • Ravens-Sieberer U, Auquier P, Erhart M, et al (2007) The KIDSCREEN-27 quality of life measure for children and adolescents: psychometric results from a cross-cultural survey in 13 European countries. Qual Life Res 16:1347–56 [CrossRef] [PubMed] [Google Scholar]
  • PICANet. http://www.picanet.org.uk/ [Google Scholar]
  • Straney LD, Clements A, Alexander J, Slater A (2010) Measuring efficiency in Australian and New Zealand pediatric intensive care units. Intensive Care Med 36:1410–6 [CrossRef] [PubMed] [Google Scholar]

Les statistiques affichées correspondent au cumul d'une part des vues des résumés de l'article et d'autre part des vues et téléchargements de l'article plein-texte (PDF, Full-HTML, ePub... selon les formats disponibles) sur la platefome Vision4Press.

Les statistiques sont disponibles avec un délai de 48 à 96 heures et sont mises à jour quotidiennement en semaine.

Le chargement des statistiques peut être long.