Patient-Level Model Predicts In-Hospital Mortality in Acute MI

Share this content:
Patient-Level Model Predicts In-Hospital Mortality in Acute MI
Patient-Level Model Predicts In-Hospital Mortality in Acute MI

THURSDAY, Aug. 4, 2016 (HealthDay News) -- A parsimonious patient-level clinical risk model can predict in-hospital mortality for patients with acute myocardial infarction, according to a study published in the Aug. 9 issue of the Journal of the American College of Cardiology.

Robert L. McNamara, M.D., from the Yale University School of Medicine in New Haven, Conn., and colleagues developed and validated a parsimonious patient-level clinical risk model of in-hospital mortality for patients with acute myocardial infarction. The population of 243,440 patients from 655 hospitals was divided into a 60 percent sample for derivation of the model and a 40 percent sample for validation of the model.

The researchers found that in-hospital mortality was 4.6 percent. Independent associations for in-hospital mortality were seen for age, heart rate, systolic blood pressure, presentation after cardiac arrest, presentation in cardiogenic shock, presentation in heart failure, presentation with ST-segment elevation myocardial infarction (STEMI), creatinine clearance, and troponin ratio. The C-statistic for the model was 0.88, with good calibration. In subgroups based on age, sex, race, transfer status, and presence of diabetes mellitus, renal dysfunction, cardiac arrest, cardiogenic shock, and STEMI, the model performed well. Across risk groups, the observed mortality rates varied substantially, ranging from 0.4 to 49.5 percent in the lowest and highest risk groups.

"This parsimonious risk model for in-hospital mortality is a valid instrument for risk adjustment and risk stratification in contemporary patients with acute myocardial infarction," the authors write.

Several authors disclosed financial ties to the pharmaceutical industry.

Full Text (subscription or payment may be required)
Editorial (subscription or payment may be required)

Share this content:

is free, fast, and customized just for you!




Already a member?

Sign In Now »

Drug Lookup

Browse drugs by: BrandGenericDisease

Trending Activities

All Professions



Sign up for myCME e-newsletters




More in Home

Non-Nutritive Sweeteners Don't Up Blood Glucose Levels

Non-Nutritive Sweeteners Don't Up Blood Glucose Levels

Concentration of NNSs decreases gradually over the course of observation after consumption

Laws Allowing Service Denial to Sexual Minorities Tied to Distress

Laws Allowing Service Denial to Sexual Minorities Tied ...

Laws permitting denial of services linked to increase in mental distress among sexual minorities

Antidepressant Prescribing Linked to Lasting Weight Gain

Antidepressant Prescribing Linked to Lasting Weight Gain

Risk of weight gain remained increased during at least six years of follow-up