Evaluating ACI-TIPI for Predicting Cardiac Events
Author Information
Author(s): Ilgen Jonathan S, Manini Alex F, Hoffmann Udo, Noble Vicki E, Giraldez Ediza, Nualpring Supapan, Bohan J Stephen
Primary Institution: University of Washington School of Medicine
Hypothesis
Can the ACI-TIPI effectively predict 30-day major adverse cardiac events in patients with acute chest pain?
Conclusion
The ACI-TIPI has limited overall discriminatory value for predicting major adverse cardiac events, but a score of less than 20 may help identify patients suitable for outpatient management.
Supporting Evidence
- 19 out of 144 patients suffered major adverse cardiac events within 30 days.
- An ACI-TIPI score of ≥ 20 had 100% sensitivity for predicting MACE.
- The ACI-TIPI yielded a c-statistic of 0.69 for predicting MACE.
Takeaway
Doctors used a special scoring tool to help decide if patients with chest pain could safely go home. The tool worked well for some patients but not for everyone.
Methodology
A prospective cohort study was conducted with patients presenting to the emergency department with acute chest pain, where ACI-TIPI scores were calculated and correlated with 30-day outcomes.
Potential Biases
Inclusion bias may have occurred due to patient enrollment only during specific hours.
Limitations
The study sample was small, and the results may not be generalizable to non-urban populations or community hospitals.
Participant Demographics
Mean age was 59.1 years, with 59% men.
Statistical Information
P-Value
<0.01
Confidence Interval
95% CI 0.59-0.80
Statistical Significance
p<0.01
Digital Object Identifier (DOI)
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