TY - JOUR
T1 - Associations between primary care electrocardiography and non-Alzheimer dementia
AU - Isaksen, Jonas L.
AU - Ghouse, Jonas
AU - Skov, Morten W.
AU - Olsen, Morten S.
AU - Holst, Anders G.
AU - Pietersen, Adrian
AU - Nielsen, Jonas B.
AU - Maier, Anja
AU - Graff, Claus
AU - Frikke-Schmidt, Ruth
AU - Kanters, Jørgen
PY - 2022/9/30
Y1 - 2022/9/30
N2 - Objectives: To determine whether electrocardiogram (ECG) markers are associated with incident non-Alzheimer's dementia (non-AD) and whether these markers also improve risk prediction for non-AD. Materials and methods: We retrospectively included 170,605 primary care patients aged 60 years or older referred for an ECG by their general practitioner and followed them for a median of 7.6 years. Using Cox regression, we reported hazard ratios (HRs) for electrocardiogram markers. Subsequently, we evaluated if addition of these electrocardiogram markers to a clinical model improved risk prediction for non-AD using change in area under the receiver-operator characteristics curve (AUC). Results: The 5-year cumulative incidence of non-AD was 3.4 %. Increased heart rate (HR=1.06 pr. 10 bpm [95% confidence interval: 1.04–1.08], p<0.001), shorter QRS duration (HR=1.07 pr. 10 ms [1.05–1.09], p<0.001), elevated J-amplitude (HR=1.16 pr. mm [1.08–1.24], p<0.001), decreased T-peak amplitude (HR=1.02 pr. mm [1.01–1.04], p=0.002), and increased QTc (HR=1.08 pr. 20 ms [1.05–1.10], p<0.001) were associated with an increased rate of non-AD. Atrial fibrillation on the ECG (HR=1.18 [1.08–1.28], p<0.001) Sokolow-Lyon index > 35 mm (HR=1.31 [1.18–1.46], p<0.001) and borderline (HR=1.18 [1.11–1.26], p<0.001) or abnormal (HR=1.40 [1.27–1.55], p<0.001) QRS-T angle were also associated with an increased rate of non-AD. Upon addition of ECG markers to the Cox model, 5-year and 10-year C-statistic (AUC) improved significantly (delta-AUC, 0.36 [0.18–0.50] and 0.20 [0.03–0.35] %-points, respectively). Conclusions: ECG markers typical of an elevated cardiovascular risk profile were associated with non-AD and improved both 5-year and 10-year risk predictions for non-AD.
AB - Objectives: To determine whether electrocardiogram (ECG) markers are associated with incident non-Alzheimer's dementia (non-AD) and whether these markers also improve risk prediction for non-AD. Materials and methods: We retrospectively included 170,605 primary care patients aged 60 years or older referred for an ECG by their general practitioner and followed them for a median of 7.6 years. Using Cox regression, we reported hazard ratios (HRs) for electrocardiogram markers. Subsequently, we evaluated if addition of these electrocardiogram markers to a clinical model improved risk prediction for non-AD using change in area under the receiver-operator characteristics curve (AUC). Results: The 5-year cumulative incidence of non-AD was 3.4 %. Increased heart rate (HR=1.06 pr. 10 bpm [95% confidence interval: 1.04–1.08], p<0.001), shorter QRS duration (HR=1.07 pr. 10 ms [1.05–1.09], p<0.001), elevated J-amplitude (HR=1.16 pr. mm [1.08–1.24], p<0.001), decreased T-peak amplitude (HR=1.02 pr. mm [1.01–1.04], p=0.002), and increased QTc (HR=1.08 pr. 20 ms [1.05–1.10], p<0.001) were associated with an increased rate of non-AD. Atrial fibrillation on the ECG (HR=1.18 [1.08–1.28], p<0.001) Sokolow-Lyon index > 35 mm (HR=1.31 [1.18–1.46], p<0.001) and borderline (HR=1.18 [1.11–1.26], p<0.001) or abnormal (HR=1.40 [1.27–1.55], p<0.001) QRS-T angle were also associated with an increased rate of non-AD. Upon addition of ECG markers to the Cox model, 5-year and 10-year C-statistic (AUC) improved significantly (delta-AUC, 0.36 [0.18–0.50] and 0.20 [0.03–0.35] %-points, respectively). Conclusions: ECG markers typical of an elevated cardiovascular risk profile were associated with non-AD and improved both 5-year and 10-year risk predictions for non-AD.
KW - health
KW - ECG
KW - electrocardiography
KW - dementia
KW - non-Alzheimer dementia
KW - epidemiological data
KW - stroke
KW - Denmark
KW - healthcare applications
U2 - 10.1016/j.jstrokecerebrovasdis.2022.106640
DO - 10.1016/j.jstrokecerebrovasdis.2022.106640
M3 - Article
SN - 1052-3057
VL - 31
JO - Journal of Stroke and Cerebrovascular Diseases
JF - Journal of Stroke and Cerebrovascular Diseases
IS - 9
M1 - 106640
ER -