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Disease Model

The statistical disease model embedded in the Heart Attack Survival Calculator was developed from MediQual's master database of over 20 million patient encounters. This unique database is derived from hospitals who use MediQual's Atlas clinical information management system and send a copy of their encounter data to MediQual as part of their license agreement.

Time frame

The survival calculation is optimally used with data obtained from the first forty-eight hours of hospitalization. This time frame was carefully selected to best capture the patient's presenting clinical condition or degree of disease. Subsequent to the initial admission, the Survival Calculator also uses up to thirty days of life support information .

Probability display

The assessment of survival is calculated as a continuous probability from 0% to 99.9%. For display purposes, probabilities are rounded to the nearest percent, and the highest possible probability is set at 99% (and not at 100%), since risk of heart attack mortality always exists.

Variable impact

Some variables increase the likelihood of survival, while others increase the likelihood of mortality. The following chart summarizes the directional impact of the independent variables.

SECTION
VARIABLE
IMPACT ON SURVIVAL
Patient History Age
Decreases
Angina or MI
Increases
CHF
Decreases
Angioplasty
Increases
Stroke or TIA
Decreases
Heart ExamBlocked Arteries
Decreases
Ejection fraction
Decreases
CHF
Decreases
Hypertrophy
Increases
Acute MI on EKG
Decreases
MI, unspecified age
Decreases
Life SupportMechanical vent
Decreases
Vital Signs Glasgow coma
Decreases
Respiration rate
Decreases
Systolic BP
Decreases
Lab Results BUN
Decreases
CPK
Decreases
Glucose
Decreases
pH
Decreases
PO2
Decreases
SGOT
Decreases
WBC
Decreases


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