Java-based ACI-TIPI Predictive Instrument

Note: This instrument is NOT intended for clinical use. It is presented here for demonstrational purposes only.

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For information on how to use the ACI-TIPI Java click here.

ACI-TIPI Predictive Instrument

The ACI-TIPI is a logistic regression formula utilizing a series of patient demographic variables (chest pain status, age, and gender) plus ECG features (Q-wave, ST, and T-wave) to predict the probability that a given patient have acute cardiac ischemia.

The ACI-TIPI started out as a check-off form used to assist the Emergency Department (ED) clinician make better triaging decision on patients presenting with chest pain suggestive of acute cardiac ischemia (ACI). This ACI-TIPI form quickly evolved into a hand-held calculator-based instrument, providing the clinician with a 0%-100% predicted probability a patient is experiencing ACI. Because the ACI-TIPI formula uses ECG features, the next logical evolutionary step was to implement the ACI-TIPI analysis directly into an electrocardiograph. Such an electrocardiograph product was introduced in May of 1996 - the Hewlett Packard PageWriter XLi cardiograph with the M1791A ACI-TIPI application. Contact your local Hewlett-Packard Sales representative to find out more information about the product.

The ACI-TIPI Java applet above was created to:

• Help make clinicians aware of such instruments are available to help improve management of ACI patients
• Provide the instrument in a readily accessible form for evaluation and experimentation
• Explore the utility of distributed clinical instruments

For more clinical information regarding predictive instruments see the references provided.

Applet Development Tools

This applet was built using VisualCafe 1.0 JAVA development tools. The analysis component of the applet is based on published work by Dr. Selker and his research team at CCHSR in Boston, Mass. This applet's behavior will differ somewhat from that implemented in the commercial product for a number of reasons:

• ECG measurments are not continuous. For example the ST amplitude values are quantized to units of 0.1 mV while the electrocardiograph has a finer resolution.
• The ACI-TIPI Java applet does not account for nor mention secondary ST elevation due to LVH or BBB conditions.
• The ACI-TIPI Java applet have not been validated clinically or otherwise for accuracy.