2007, Number 3
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Rev Invest Clin 2007; 59 (3)
Mortality predictive indexes in non-critical inpatients
Gómez-García S, Ponce-de-León S, Hernández-Martínez MV, Macías AE
Language: English
References: 20
Page: 192-196
PDF size: 53.43 Kb.
ABSTRACT
Background. Mortality predictive indexes have not been
applied to patients in general wards out of the ICU.
Methods.
Retrolective study aimed to evaluate the value of mortality
prediction indexes in a cohort of 944 non-critical patients.
Three indexes were evaluated according to their calibration
and discriminative power: the Mortality Probability Model II
(MPMII), the Simplified Acute Physiology System II (SAPS II)
and the Logistic Organ Dysfunction System (LODS). The bivariate
calculation of relative risk (RR) to die was performed
relative to the group of patients that had an expected probability
to die › 10%, calculated by an index. To evaluate the calibration,
data were arranged in descending order using the χ
2
goodness-of-fit model. To evaluate discrimination power,
ROC curves were used.
Results. SAPS II, MPM II and LODS
predicted significant risks at levels of P ‹ 0.005, (RR = 6.56,
4.03 and 3.44, respectively). Regarding the calibration, the
null hypothesis was accepted only by using SAPS II (P =
0.664).
Conclusions. The three evaluated indexes each had a
good discriminative capacity to detect non-critical inpatients
with high risk to die. SAPS II was the best index to predict
mortality, as determined by both the bivariate and the calibration
analysis. There is no reason for not using mortality predictive
indexes for non-critical inpatients.
REFERENCES
Boyd O, Grounds RM. Physiological scoring systems and audit. Lancet 1993; 341: 1573-4.
Peiró S, Lorenzo S. La difusión a los ciudadanos de los resultados de la asistencia sanitaria. Rev Calidad Asistencial 2000; 15: 684-5.
Donabedian A. Evaluating the quality of medical care. Millbank Memorial Fund Quaterly 1966; 44: 166-206.
Cerón DUW, Esponda PJ, Borboya PM, et al. Valor predictivo de los sistemas de calificación de gravedad: comparación de cuatro modelos en tres unidades de terapia intensiva mexicanas incluidas en la base de datos multicéntrica de terapia intensiva. Revista Mexicana de Medicina Crítica y Terapia Intensiva 2000; 14: 50-9.
Dubois RW, Rogers WH, Moxley JH III, Draper D, Brook RH. Hospital inpatient mortality: is it a predictor of quality? N Engl J Med 1987; 317: 1674-80.
Lemeshow S, Le Gall JR. Modeling the severity of illness of ICU patients. A system update. JAMA 1994; 272: 1049-55.
Knaus WA, Zimmerman JE, Wagner DP, Draper EA, Lawrence DE. APACHE - acute physiology and chronic health evaluation: a physiologically based classification system. Crit Care Med 1981; 9: 591-7.
Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med 1985; 13: 818-29.
Le Gall JR, Loirat P, Alperovitch A, Glaser P, Granthil C, Mathieu D, et al. A simplified acute physiology score for ICU patients. Crit Care Med 1984; 12: 975-7.
Lemeshow S, Teres D, Avrunin JS, Gage RW. Refining intensive care unit outcome prediction by using changing probabilities of mortality. Crit Care Med 1988; 16: 470-7.
Knaus WA, Wagner DP, Draper EA, Zimmerman JE, Bergner M, Bastos PG, et al. The APACHE III prognostic system: risk prediction of hospital mortality for critically ill hospitalised adults. CHEST 1991; 100: 1619-36.
Lemeshow S, Teres D, Klar J, Avrunin JS, Gehlbach SH, Rapoport J. Mortality Probability Models (MPM II) based on an international cohort of intensive care unit patients. JAMA 1993; 270: 2478-86.
Le Gall JR, Lemeshow S, Saulnier F. A new Simplified Acute Physiology Score (SAPS II) based on European /Northamerican multicenter study. JAMA 1993; 270: 2957-63.
Le Gall JR, Klar J, Lemeshow S, Saulnier F, Alberti C, Artigas A, et al. The logistic organ dysfunction system. A new way to assess organ dysfunction in the intensive care unit. JAMA 1996; 276: 802-10.
Moreno R, Apolone G, Reis MD. Evaluation of the uniformity of fit of general outcome prediction models. Int Care Med 1998; 24: 40-7.
Lemeshow S, Klar J, Teres D. Outcome prediction for individual intensive care patients: useful, misused, or abused? Int Care Med 1995; 21: 770-6.
Angus DC, Pinsky MR. Risk prediction: judging the judges. Int Care Med 1997; 23: 363-5.
Beck DH, Smith GB, Taylor BL. The impact of low-risk intensive care unit admissions on mortality probabilities by SAPS II, APACHE II and APACHE III. Anaesthesia 2002; 57: 21-6.
Sánchez VLD. Capacidad discriminativa y costo de los sistemas de calificación de la gravedad de enfermedad en la Unidad de Terapia Intensiva. Rev Asoc Mex Med Crit Ter Int 1999; 12: 100-4.
Rowan KM, Kerr JH, Major E, McPherson K, Short A, Vessey MP. Intensive Care Society’s Acute Physiology and Chronic Health Evaluation (APACHE II) study in Britain and Ireland: A prospective, multicenter; cohort study comparing two methods for predicting outcome for adult intensive care patients. Crit Care Med 1994; 22: 1392-1401.