Health & body · 1998
Can an injury score help predict mortality after a heart attack?
In 3,395 post-heart-attack patients, higher Cardiac Infarction Injury Scores were associated with higher risks of cardiac and total mortality. The researchers concluded that the score is a predictor of long-term cardiac mortality.
Details
The Cardiac Infarction Injury Score (CIIS) is an electrocardiographic classification system developed as a diagnostic tool to assess the extent of cardiac injury in acute . The researchers investigated its prognostic value in patients after myocardial infarction.
They assessed the CIIS as a predictor of total and cardiac mortality in 3,395 patients enrolled in the ASPECT trial. Standard 12-lead electrocardiograms recorded before hospital discharge were coded according to the CIIS and the Minnesota Code. The mean CIIS was 26, with a range of −8 to 59.
After adjustment for other baseline characteristics, higher CIIS was directly related to the risk of total and cardiac mortality. At one year, the abstract reported significantly higher relative risks for CIIS groups ≥40, 30–40 and 20–30 than for the group below 20. The respective relative risks were 2.3 (1.2–4.4), 2.2 (1.3–3.9) and 1.6 (0.9–2.9). At three years, the respective relative risks were 2.1 (1.4–3.2), 1.7 (1.2–2.4) and 1.5 (1.0–2.1). The relative risks for total mortality were similar.
When patients with major ECG abnormalities as defined by the Minnesota Code were excluded, the associations remained significant in the CIIS classes 30–40 and >40. The researchers concluded that CIIS is an important predictor of long-term cardiac mortality after myocardial infarction. They also stated that it can easily be automated and is efficient for classifying cardiac injury in epidemiological studies.
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