Short-term mortality prediction for acute lung injury patients: External validation of the Acute Respiratory Distress Syndrome Network prediction model

Critical Care Medicine

Volumn 39, Issue 5, 2011, Pages 1023-1028

  Damluji, Abdulla ^a   Colantuoni, Elizabeth ^b,c   Mendez Tellez, Pedro A ^b   Sevransky, Jonathan E ^b   Fan, Eddy ^b   Shanholtz, Carl ^d   Wojnar, Margaret ^a   Pronovost, Peter J ^b   Needham, Dale M ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^d UNIVERSITY OF MARYLAND SCHOOL OF MEDICINE   (United States)

Author keywords

adult; health status indicators; intensive care units; mortality determinants; prognosis; respiratory distress syndrome; statistical model

Indexed keywords

ACUTE LUNG INJURY; ADULT; ADULT RESPIRATORY DISTRESS SYNDROME; AGED; APACHE; ARTIFICIAL VENTILATION; COHORT ANALYSIS; CONFERENCE PAPER; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; EXTERNAL VALIDITY; FEMALE; HOSPITAL PATIENT; HUMAN; INTENSIVE CARE UNIT; INTERMETHOD COMPARISON; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; MORTALITY; PRIORITY JOURNAL; STATISTICAL MODEL; TEACHING HOSPITAL;

EID: 79955375574     PISSN: 00903493     EISSN: 15300293     Source Type: Journal    
DOI: 10.1097/CCM.0b013e31820ead31     Document Type: Conference Paper

References (26)

1. Zambon M, Vincent JL: Mortality rates for patients with acute lung injury/ARDS have decreased over time. Chest 2008; 133: 1120-1127 (Pubitemid 351685515)
2. Erickson SE, Martin GS, Davis JL, et al: Re-cent trends in acute lung injury mortality: 1996-2005. Crit Care Med 2009; 37: 1574-1579
3. Bernard GR: Acute respiratory distress syn-drome: A historical perspective. Am J Respir Crit Care Med 2005; 172:798-806
4. Monchi M, Bellenfant F, Cariou A, et al: Early predictive factors of survival in the acute respiratory distress syndrome. A multivariate analysis. Am J Respir Crit Care Med 1998; 158:1076-1081 (Pubitemid 28489004)
5. Seeley E, McAuley DF, Eisner M, et al: Pre-dictors of mortality in acute lung injury dur-ing the era of lung protective ventilation. Thorax 2008; 63:994-998
6. Luecke T, Muench E, Roth H, et al: Predic-tors of mortality in ARDS patients referred to a tertiary care centre: A pilot study. Eur J Anaesthesiol 2006; 23:403-410
7. Ventilation with lower tidal volumes as com-pared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome. The Acute Respiratory Distress Syndrome Network. N Engl J Med 2000; 342: 1301-1308
8. Cooke CR, Shah CV, Gallop R, et al: A simple clinical predictive index for objective esti-mates of mortality in acute lung injury. Crit Care Med 2009; 37:1913-1920
9. Brower RG, Lanken PN, MacIntyre N, et al: Higher versus lower positive end-expiratory pressures in patients with the acute respira-tory distress syndrome. N Engl J Med 2004; 351:327-336
10. Lemeshow S, Klar J, Teres D: Outcome prediction for individual intensive care patients: Useful, misused, or abused? Intensive Care Med 1995; 21:770-776
11. Justice AC, Covinsky KE, Berlin JA: Assessing the generalizability of prognostic information. Ann Intern Med 1999; 130:515-524 (Pubitemid 29135805)
12. Needham DM, Dennison CR, Dowdy DW, et al: Study protocol: The Improving Care of Acute Lung Injury Patients (ICAP) study. Crit Care 2006; 10:R9
13. Bernard GR, Artigas A, Brigham KL, et al: The American-European Consensus Conference on ARDS. Definitions, mechanisms, relevant out-comes, and clinical trial coordination. Am J Respir Crit Care Med 1994; 149:818-824 (Pubitemid 24082248)
14. Charlson ME, Pompei P, Ales KL, et al: A new method of classifying prognostic co-morbidity in longitudinal studies: Development and validation. J Chronic Dis 1987; 40:373-383 (Pubitemid 17055592)
15. Knaus WA, Draper EA, Wagner DP, et al: APACHE II: A severity of disease classifica-tion system. Crit Care Med 1985; 13: 818-829 (Pubitemid 15250137)
16. Ferreira FL, Bota DP, Bross A, et al: Serial evaluation of the SOFA score to predict out-come in critically ill patients. JAMA 2001; 286:1754-1758 (Pubitemid 33010262)
17. Steyerberg EW, Vickers AJ, Cook NR, et al: Assessing the performance of prediction mod-els: A framework for traditional and novel mea-sures. Epidemiology 2010; 21:128-138
18. DeLong ER, DeLong DM, Clarke-Pearson DL: Comparing the areas under two or more cor-related receiver operating characteristic curves: A nonparametric approach. Biometrics 1988; 44:837-845
19. Fan E, Needham DM: Deciding who to admit to a critical care unit. BMJ 2007; 335:1103-1104 (Pubitemid 350247267)
20. Angus DC, Mira JP, Vincent JL: Improving clinical trials in the critically ill. Crit Care Med 2010; 38:527-532
21. Cooke CR, Erickson SE, Watkins TR, et al: Age-, sex-, and race-based differences among patients enrolled versus not enrolled in acute lung injury clinical trials. Crit Care Med 2010; 38:1450-1457
22. Phua J, Badia JR, Adhikari NK, et al: Has mortality from acute respiratory distress syndrome decreased over time? A system-atic review. Am J Respir Crit Care Med 2009; 179:220-227
23. Rubenfeld GD, Caldwell E, Peabody E, et al: Incidence and outcomes of acute lung in-jury. N Engl J Med 2005; 353:1685-1693 (Pubitemid 41464707)
24. Vincent JL, Sakr Y, Ranieri VM: Epidemiol-ogy and outcome of acute respiratory failure in intensive care unit patients. Crit Care Med 2003; 31(Suppl):S296-S299 (Pubitemid 36458182)
25. Sakr Y, Vincent JL, Reinhart K, et al: High tidal volume and positive fluid balance are associated with worse outcome in acute lung injury. Chest 2005; 128: 3098-3108 (Pubitemid 41698628)
26. Umoh NJ, Fan E, Mendez-Tellez PA, et al: Patient and intensive care unit organiza-tional factors associated with low tidal vol-ume ventilation in acute lung injury. Crit Care Med 2008; 36:1463-1468 (Pubitemid 351620654)