Multivariate prediction of in-hospital mortality associated with coronary artery bypass graft surgery. Northern New England Cardiovascular Disease Study Group.
Why the study?
Can an 8-variable multivariate prediction rule accurately predict in-hospital mortality in patients undergoing isolated CABG?
Population
3,055 patients undergoing isolated coronary artery bypass graft surgery across five clinical centers in…
Design
Cohort
Follow-up
in-hospital
Authors
Discussion
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Member takes
Implication
May inform preoperative risk counseling in isolated CABG; leaves open external validation before routine use.
Structured PICO
Can an 8-variable multivariate prediction rule accurately predict in-hospital mortality in patients undergoing isolated CABG?
P
Population
3,055 patients undergoing isolated coronary artery bypass graft surgery (CABG) across five clinical centers in Northern New England.
I
Intervention
Multivariate prediction rule using 8 variables (age, sex, body surface area, comorbid disease, history of CABG, left ventricular end-diastolic pressure, ejection fraction score, and priority of surgery)
O
Outcome
In-hospital mortalityhard clinical
A validated 8-variable prediction rule accurately estimates the risk of in-hospital mortality for patients undergoing isolated CABG.
Cite This Study
O'connor et al. (1992) studied this question.