Evaluation of the survival prediction index as a model of risk stratification for clinical research in dogs admitted to intensive care units at four locations

American Journal of Veterinary Research

Volumn 62, Issue 6, 2001, Pages 948-954

  King, Lesley G ^a   Wohl, James S ^b   Manning, Ann Marie ^c   Hackner, Susan G ^d   Raffe, Marc R ^e   Maislin, Greg ^f  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b AUBURN UNIVERSITY   (United States)

^c Angell Memorial Animal Hospital   (United States)

^d Veterinary Centers of America   (United States)

^e UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^f Biomedical Statistical Consulting   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; ARTICLE; BIOLOGICAL MODEL; CLINICAL TRIAL; COHORT ANALYSIS; DOG; DOG DISEASE; EVALUATION; FEMALE; HOSPITAL; INTENSIVE CARE; MALE; MORTALITY; MULTICENTER STUDY; PREDICTION AND FORECASTING; PROSPECTIVE STUDY; RISK FACTOR; ROC CURVE; STATISTICAL MODEL; SURVIVAL;

ANIMALS; COHORT STUDIES; DOG DISEASES; DOGS; FEMALE; HOSPITALS, ANIMAL; INTENSIVE CARE; LOGISTIC MODELS; MALE; MODELS, BIOLOGICAL; PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; RISK FACTORS; ROC CURVE; SURVIVAL ANALYSIS;

EID: 0035377191     PISSN: 00029645     EISSN: None     Source Type: Journal    
DOI: 10.2460/ajvr.2001.62.948     Document Type: Article

References (16)

1. King LG, Stevens MT, Ostro ENS, et al. A model for prediction of survival in critically ill dogs (erattum appears in J Vet Emerg Crit Care 1995;5:6). J Vet Emerg Crit Care 1994;4:85-99.
2. Harrell FE, Lee KL, Mark DB. Tutorial in biostatistics: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996;15:361-387.
3. McNeil BJ, Keeler E, Adelstein SJ. Primer on certain elements of medical decision making. N Engl J Med 1975;293:211-215.
4. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic curve (ROC). Radiology 1982;143:29-36.
5. Hosmer DW, Lemeshow S. Assessing fit. In: Hosmer DW, Lemeshow S, eds. Applied logistic regression. New York: John Wiley & Sons, 1989;140-145.
6. Reeves MJ, Curtis CR, Salman MD, et al. Multivariable prediction model for the need for surgery in horses with colic. Am J Vet Res 1991;52:1903-1907.
7. Hoffman AM, Staempfli HR, Willan A. Prognostic variables for survival of neonatal foals under intensive care. J Vet Intern Med 1992;6:89-95.
8. Furr M, Tinker MK, Edens L. Prognosis for neonatal foals in an intensive care unit. J Vet Intern Med 1997;11:183-188.
9. Hardie EM, Jayawickrama J, Duff LC, et al. Prognostic indicators of survival in high-risk canine surgery patients. J Vet Emerg Crit Care 1995;5:42-49.
10. Lofstedt J, Dohoo IR, Duizer G. Model to predict septicemia in diarrheic calves. J Vet Intern Med 1999;13:81-88.
11. Knaus WA, Draper EA, Wagner DP, et al. APACHE II: a severity of disease classification system. Crit Care Med 1985;13: 818-829.
12. Knaus WA, Wagner DP, Draper EA, et al. The APACHE III prognostic system: risk prediction of hospital mortality for critically ill hospitalized adults. Chest 1991;100:1619-1636.
13. Le Gail JR, Lemeshow S, Saulnier F A new simplified acute physiology score (SAPS II) based on a European/North American multicenter study. JAMA 1993;270:2957-2963.
14. Lemeshow S, Teres D, Klar J, et al. Mortality probability models (MPM II) based on an international cohort of intensive care unit patients. JAMA 1993;270.2478-2486.
15. McAnena OJ, Moore FA, Moore EE, et al. Invalidation of the APACHE Il scoring system for patients with acute trauma. J Trauma 1992;33:504-506.
16. Rockar RA, Drobatz KJ. Development of a scoring system for the veterinary trauma patient. J Vet Emerg Crit Care 1994;4:77-83.