Electrocardiographic Repolarization Complexity and Abnormality Predict All-Cause and Cardiovascular Mortality in Diabetes
Why the study?
Do electrocardiographic measures of repolarization abnormality and complexity predict all-cause and cardiovascular mortality in American Indians with type 2 diabetes?
Population
994 American Indians with type 2 diabetes
Comparison
Presence of electrocardiographic repolarization… vs Absence of these electrocardiographic…
Design
Cohort
Follow-up
mean 4.7 +/- 1.0 years
Authors
Discussion
Loading...
Member takes
Implication
May aid ECG-based risk stratification in type 2 diabetes; hypothesis-generating pending prospective validation.
Structured PICO
Do electrocardiographic measures of repolarization abnormality and complexity predict all-cause and cardiovascular mortality in American Indians with type 2 diabetes?
P
Population
994 American Indians with type 2 diabetes
I
Intervention
Presence of electrocardiographic repolarization abnormality (ST segment depression >=50 micro V, QTc >460 ms) or complexity (PCA ratio >32.0% in women and >24.6% in men)
C
Comparator
Absence of these electrocardiographic repolarization abnormalities
O
Outcome
Cardiovascular mortality and all-cause mortality at mean 4.7 years follow-uphard clinical
Computerized ECG measures of repolarization abnormality and complexity independently predict cardiovascular and all-cause mortality in individuals with type 2 diabetes, supporting their use for risk stratification.
Cite This Study
Okin et al. (2004) studied this question.