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Derivation and Validation of a Geriatric-Sensitive Perioperative Cardiac Risk Index.
Rami Alrezk1,2,3,4, Nicholas Jackson4, Mohanad Al Rezk5
1VA Greater Los Angeles Healthcare System, Los Angeles, CA ramialrezk1@ucla.edu.
A new Geriatric-Sensitive Cardiac Risk Index (GSCRI) accurately predicts cardiac risk in older surgical patients. This index outperforms existing tools like RCRI and Gupta MICA for the geriatric population.
Area of Science:
- Geriatric Medicine
- Cardiology
- Surgical Risk Assessment
Background:
- Older adults (65+) face elevated cardiac risks during noncardiac surgery.
- Current risk indices (RCRI, Gupta MICA) lack geriatric specificity.
- A novel index is needed to address unique geriatric risk factors.
Purpose of the Study:
- To develop and validate a geriatric-sensitive cardiac risk index.
- To improve prediction of myocardial infarction or cardiac arrest (MICA) in elderly surgical patients.
- To compare the performance of the new index against existing tools.
Main Methods:
- Utilized the National Surgical Quality Improvement Program (NSQIP) 2013 geriatric cohort for model development (N=584,931).
- Validated the index on the NSQIP 2012 geriatric cohort (N=485,426).
- Employed Least Angle Shrinkage and Selection Operator regression for variable selection.
Main Results:
- The Geriatric-Sensitive Cardiac Risk Index (GSCRI) achieved an AUC of 0.76 in the validation cohort.
- GSCRI significantly outperformed RCRI (AUC=0.63) and Gupta MICA (AUC=0.70) in geriatric patients.
- Gupta MICA showed significant underestimation (≈17%) of risk in this population.
Conclusions:
- The GSCRI demonstrates superior accuracy in predicting cardiac risk for geriatric patients undergoing noncardiac surgery.
- The GSCRI offers a more reliable risk assessment tool for this vulnerable patient group.
- This index addresses the limitations of current risk prediction models in the elderly.
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