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Development and validation of the ontario acute myocardial infarction mortality prediction rules

Jack V. Tu, MD, PhD, FRCPC^{* e}, Peter C. Austin, PhD^{* e}, Randy Walld, BSc, Leslie Roos, PhD, Jean Agras, PhD and Kathryn M. McDonald, MM

^* Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
^e Department of Medicine and Public Health Sciences, University of Toronto, Toronto, Ontario, Canada
Manitoba Centre for Health Policy and Evaluation, Department of Community Health Sciences, Faculty of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
National Bureau of Economic Research, Stanford, California, USA
Center for Primary Care and Outcomes Research, Department of Medicine, Stanford University, Stanford, California, USA

View larger version (15K): [in a new window]   Figure 1 Comparison of predicted versus observed 30-day acute myocardial infarction (AMI) mortality rates in the Ontario derivation dataset. The predicted mortality rates are generated from the Ontario AMI mortality prediction rule. Each data point represents one decile of 5,261 patients from the Ontario derivation dataset, sorted in order of ascending risk. The mean predicted mortality rate is compared to the observed mortality rate within each decile.