2003, Número 1
<< Anterior Siguiente >>
Med Crit 2003; 17 (1)
Predicción de mortalidad en enfermos operados de corazón. Estudio comparativo de cuatro modelos predictivos
Sánchez VLD, Reyes SME, Carrillo RJA, Rincón SJJ, Medina VJC, Venegas AD
Idioma: Español
Referencias bibliográficas: 24
Paginas: 19-23
Archivo PDF: 55.84 Kb.
RESUMEN
Objetivo: Comparar cuatro modelos de severidad de la enfermedad para predecir la mortalidad en cirugía cardiaca.
Diseño: Estudio de cohorte.
Lugar: UCI de cirugía cardiaca de un hospital general de la Ciudad de México.
Pacientes: Cuatrocientos diecisiete pacientes (edad media 54.6 ± 13.7 años) admitidos a la UCI después de cirugía cardiaca.
Intervenciones: Ninguna.
Mediciones y resultados principales: Se evaluó demografía, estado vital al egreso y los modelos TU, Tuman, Parsonnet APACHE II. Se efectuó discriminación con áreas bajo la curva ROC y la calibración con χ
2 de Hosmer Lemeshow. La mortalidad fue de 12.5%. Las áreas ROC fueron: Tu 0.693 (CI
95% 0.611-0.774), Tuman 0.790 (CI
95% 0.715-0.865), Parsonnet 0.991 (CI
95% 0.979- 1.000) y APACHE II 0.984 (CI
95% 0.971-0.998). La calibración (χ
2 H-L) de cada modelo fue: Tu 8.414 (p = 0.015), Tuman 5.827 (p = 0.054), Parsonnet 6.642 (p = 0.467) y APACHE II 8.227 (p = 0.313).
Conclusión: Los modelos Parsonnet y APACHE II pueden utilizarse como predictores de mortalidad en cirugía cardiaca en México.
REFERENCIAS (EN ESTE ARTÍCULO)
Gordon JW, Pifarré R, Sullivan HJ et al. Multivariate discriminant analysis of risk factors for operative mortality following isolated coronary artery bypass graft. Chest 1987;91:394-9.
Parsonnet V, Dean D, Bernstein A. A method of uniform stratification of risk for evaluating the results of surgery in acquired adult heart disease. Circulation 1989;79(Suppl I):I3-I12.
Hannan EL, Kilburn H, O’Donnell JF et al. Adult open heart surgery in New York State. An analysis of risk factors and hospital mortality rates. JAMA 1990;264:2768-74.
O’Connor GT, Plume SK, Olmstead EM et al. A regional prospective study of in-hospital mortality associated with coronary artery bypass grafting. JAMA 1991;266:803-9.
Tuman KJ, McCarthy RJ, March RJ et al. Morbidity and duration of ICU stay after cardiac surgery. A model for preoperative risk assessment. Chest 1992;102:36-44.
Higgins TL, Estafanous FG, Loop FD, et al. Stratification of morbidity and mortality outcome by preoperative risk factors in coronary artery bypass patients. A clinical severity score. JAMA 1992;267:2344-8.
O’Connor GT, Plume SK, Olmstead EM et al. Multivariate prediction of in-hospital mortality associated with coronary artery bypass graft surgery. Circulation 1992;85:2110-8.
Tu JV, Jaglal SB, Naylor CD. Multicenter validation of a risk index for mortality, intensive care unit stay, and overall hospital length of stay after cardiac surgery. 1995;91:677-84.
Magovern, JA, Sakert T, Magovern GJ et al. A model that predicts morbidity and mortality after coronary artery bypass graft surgery. J Am Coll Cardiol 1996;28:1147-53.
Ryan TA, Rady MY, Bashour CA et al. Predictors of outcome in cardiac surgical patients with prolonged intensive care stay. Chest 1997;112:1035-42.
Edwards FH, Grover FL, Shroyer LW et al. The Society of Thoracic Surgeons National Cardiac Surgery Database: Current Risk Assessment. Ann Thorac Surg 1997;63:903-8.
Rady MY, Ryan T, Starr NJ. Perioperative determinants of morbidity and mortality in elderly patients undergoing cardiac surgery. Crit Care Med 1998;26:225-35.
Dupuis JY, Bourke M, Morrison S. The cardiac anaesthesia risk evaluation (CARE) score: a simple clinical tool to predict outcome after cardiac surgery. Anesthesia & Analgesia 1998;86(4S):18SCA.
Fortescue EB, Kahn K, Bates DW. Development and validation of a clinical prediction rule for major adverse outcomes in coronary bypass grafting. Am J Cardiol 2001;88: 1251-8.
Nashef SAM, Carey F, Silcock MM et al. Risk stratification for open heart surgery: trial of the Parsonnet system in a British hospital. BMJ 1992;305:1066-7.
Orr R, Maini BS, Sottile FD et al. A Comparison of Four Severity-Adjusted Models to Predict Mortality After Coronary Artery Bypass Graft Surgery. Arch Surg 1995;130: 301-6.
Bridgewater B, Neve H, Moat N et al. Predicting operative risk for coronary artery surgery in the United Kingdom: a comparison of various risk prediction algorithms. Heart 1998;79:350-5.
Dupuis JY, Bourke M. Comparison of three preoperative multifactorial risk indices to predict mortality and prolonged length of stay in hospital after cardiac surgery. Anesthesia & Analgesia 1998;86(4S):19SCA.
Pons JMV, Espinas JA, Borras JM et al. Cardiac surgical mortality: Comparison among different additive risk scoring models in a multicenter sample. Arch Surg 1998;133:1053-7.
Wynne-Jones K, Jackson M, Grotte G et al. Limitations of the Parsonnet score for measuring risk stratified mortality in the North West of England. Heart 2000;84:71-8.
Sherlaw-Johnson C, Lovegrove J, Treasure T, et al. Likely variations in perioperative mortality associated with cardiac surgery: when does high mortality reflect bad practice? Heart 2000;84:79-82.
Knaus WA, Draper EA, Wagner DP, et al. APACHE II: A severity of disease classification. Crit Care Med 1985;13: 818-29.
Le Gall JR, Lemeshow S, Saulnier F. A new simplified acute physiology score (SAPS II) based on a European/North American multicenter study. JAMA 1993;270:2957-63.
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;270:2478-86.