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October 27, 2003Archives of Internal Medicine2,376 citations

Predictors of Hospital Mortality in the Global Registry of Acute Coronary Events

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CGChristopher B. Granger

Key Points

  • To evaluate a clinical prediction model and nomogram for assessing in-hospital mortality risk across the full spectrum of acute coronary syndromes.
  • Evaluated patients enrolled in the Global Registry of Acute Coronary Events across routine clinical practice settings.

Structured PICO

Does a risk model accurately assess the risk for hospital mortality in patients with acute coronary syndromes?

P
Population
Patients across the entire spectrum of acute coronary syndromes (ACS) in general clinical practice
I
Intervention
Risk model/nomogram
O
Outcome
Hospital mortalityhard clinical

A risk model derived from the Global Registry of Acute Coronary Events provides excellent ability to predict hospital mortality across the spectrum of ACS.

Abstract

Across the entire spectrum of ACS and in general clinical practice, this model provides excellent ability to assess the risk for death and can be used as a simple nomogram to estimate risk in individual patients.

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Cite This Study

Christopher B. Granger (2003) studied this question.

synapsesocial.com/papers/69d572bf75589c71d767e73chttps://doi.org/10.1001/archinte.163.19.2345
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