Key result
Major ECG abnormalities in patients with chronic kidney disease independently predicted a higher 5-year risk of MACCE (adjusted HR 1.39; 95% CI 1.09-1.76; p<0.01).
Why the study?
The impact of electrocardiogram abnormalities on cardiovascular prognosis in patients with chronic kidney disease is largely unknown.
Do ECG abnormalities predict future cerebrocardiovascular events in patients with chronic kidney disease stages 3-5?
Cohort (n=2,442)
No
Do ECG abnormalities predict future cerebrocardiovascular events in patients with chronic kidney disease stages 3-5?
Major ECG abnormalities independently predict 5-year major adverse cerebrocardiovascular events in patients with CKD stages 3-5 and improve risk stratification when added to the conventional SCORE model.
Chronic kidney disease (CKD) is a strong risk factor for cardiovascular disease. An electrocardiogram (ECG) is a basic test for screening cardiovascular disease. However, the impact of ECG abnormalities on cardiovascular prognosis in patients with CKD is largely unknown. A total of 2442 patients with CKD (stages 3−5) who underwent ECG between 2013 and 2015 were selected from the electronic health record database of the Korea University Anam Hospital. ECG abnormalities were defined using the Minnesota classification. The five-year major adverse cerebrocardiovascular event (MACCE), the composite of death, myocardial infarction (MI), and stroke were analyzed. The five-year incidences for MACCE were 27.7%, 20.8%, and 17.2% in patients with no, minor, and major ECG abnormality (p < 0.01). Kaplan−Meier curves also showed the highest incidence of MI, death, and MACCE in patients with major ECG abnormality. Multivariable Cox regression analysis revealed age, sex, diabetes, CKD stage, hsCRP, antipsychotic use, and major ECG abnormality as independent risk predictors for MACCE (adjusted HR of major ECG abnormality: 1.39, 95% CI: 1.09−1.76, p < 01). Among the detailed ECG diagnoses, sinus tachycardia, myocardial ischemia, atrial premature complex, and right axis deviation were proposed as important ECG diagnoses. The accuracy of cardiovascular risk stratification was improved when the ECG results were added to the conventional SCORE model (net reclassification index 0.07). ECG helps to predict future cerebrocardiovascular events in CKD patients. ECG diagnosis can be useful for cardiovascular risk evaluation in CKD patients when applied in addition to the conventional risk stratification model.
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Park et al. (2022) conducted a cohort in Chronic Kidney Disease (stages 3-5) (n=2,442). Major ECG abnormality vs. No ECG abnormality was evaluated on Five-year major adverse cerebrocardiovascular event (MACCE), the composite of death, myocardial infarction (MI), and stroke (adjusted HR 1.39, 95% CI 1.09-1.76, p=<0.01). Major ECG abnormalities in patients with chronic kidney disease independently predicted a higher 5-year risk of MACCE (adjusted HR 1.39; 95% CI 1.09-1.76; p<0.01).
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