scholarly journals Relation of Prolonged P-Wave Duration to Risk of Sudden Cardiac Death in the General Population (from the Atherosclerosis Risk in Communities Study)

2017 ◽  
Vol 119 (9) ◽  
pp. 1302-1306 ◽  
Author(s):  
Ankit Maheshwari ◽  
Faye L. Norby ◽  
Elsayed Z. Soliman ◽  
M. Chadi Alraies ◽  
Selcuk Adabag ◽  
...  
Keyword(s):  
Sudden Cardiac Death ◽  
General Population ◽  
Cardiac Death ◽  
P Wave ◽  
Atherosclerosis Risk In Communities ◽  
Wave Duration ◽  
P Wave Duration ◽  
Atherosclerosis Risk

Abstract MP09: Deep Terminal Negativity of the P Wave in V1 is Associated with Sudden Cardiac Death in the Community: The Atherosclerosis Risk in Communities Study

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Larisa G Tereshchenko ◽  
Yiyi Zhang ◽  
Dan E Arking ◽  
Nona Sotoodehnia ◽  
David S Siscovick ◽  
...  
Keyword(s):  
Sudden Cardiac Death ◽  
Cardiac Death ◽  
Left Ventricular ◽  
P Wave ◽  
Baseline Risk ◽  
Atherosclerosis Risk In Communities ◽  
Atherosclerosis Risk ◽  
Qrs Duration ◽  
Cornell Product

Background: Deep terminal negativity of the P wave in V1 (P prime in V1, PPV1) defined as PPV1 ≤ -0.1mV in amplitude and ≥40 ms in duration (one small box on ECG grid) is sign of a left atrium enlargement, and a component in the Romhilt-Estes score of left ventricular hypertrophy (LVH). LVH is known to be associated with the risk of sudden cardiac death (SCD). Deep PPV1 negativity is also associated with atrial fibrillation (AF) and stroke; both have been linked to SCD as well. However, it is unknown whether or not PPV1 negativity is independently associated with SCD. Method: Baseline resting digital 12-lead ECGs of 13232 ARIC cohort participants (mean age 53.9±5.7 y; 5760 [43.5%] men; 9747 [73.7%] white) were analyzed. Individuals with prevalent baseline coronary heart disease (CHD), heart failure (HF), or QRS ≥ 120 ms were excluded. The ECGs were analyzed using a 12SL TM algorithm (GE Healthcare, Wauwatosa, WI, USA). Amplitude and duration of PPV1 was automatically measured. Results: Deep PPV1 negativity was observed in 97 (0.73%) participants. During a median follow-up of 14 years, 182 participants had SCD. In multivariable competing risks regression analysis, deep PPV1 negativity was significantly associated with SCD after adjustment for baseline risk factors of CHD and SCD (age, sex, race, diabetes, smoking, alcohol consumption, cholesterol, triglycerides, body mass index, serum creatinine, albumin, systolic blood pressure, use of antihypertensive, QT-prolonging medications, level of physical activity, mean heart rate, QTc, QRS duration, ECG-LVH by Cornell product), and incident HF, AF, stroke [subHR 3.8 (95%CI 1.88-7.69); P<0.0001]. Deep PPV1 negativity showed 7% sensitivity and 99% specificity for SCD prediction. Conclusion: In apparently CV healthy, middle-aged individuals, deep terminal negativity of P-wave in V1 is associated with about 4-times higher risk of SCD during 14 years of follow-up. Further studies should explore the cardiac substrate underlying presence of this marker and its use for risk stratification.

scholarly journals Vital exhaustion and sudden cardiac death in the Atherosclerosis Risk in Communities Study

Heart ◽  
2017 ◽  
Vol 104 (5) ◽  
pp. 423-429 ◽  
Author(s):  
Brittany M Bogle ◽  
Nona Sotoodehnia ◽  
Anna M Kucharska-Newton ◽  
Wayne D Rosamond
Keyword(s):  
Risk Factors ◽  
Sudden Cardiac Death ◽  
Cardiac Death ◽  
Disease Risk ◽  
Ventricular Tachyarrhythmia ◽  
Atherosclerosis Risk In Communities ◽  
Vital Exhaustion ◽  
Increased Risk ◽  
Atherosclerosis Risk ◽  
Aric Study

ObjectiveVital exhaustion (VE), a construct defined as lack of energy, increased fatigue and irritability, and feelings of demoralisation, has been associated with cardiovascular events. We sought to examine the relation between VE and sudden cardiac death (SCD) in the Atherosclerosis Risk in Communities (ARIC) Study.MethodsThe ARIC Study is a predominately biracial cohort of men and women, aged 45–64 at baseline, initiated in 1987 through random sampling in four US communities. VE was measured using the Maastricht questionnaire between 1990 and 1992 among 13 923 individuals. Cox proportional hazards models were used to examine the hazard of out-of-hospital SCD across tertiles of VE scores.ResultsThrough 2012, 457 SCD cases, defined as a sudden pulseless condition presumed due to a ventricular tachyarrhythmia in a previously stable individual, were identified in ARIC by physician record review. Adjusting for age, sex and race/centre, participants in the highest VE tertile had an increased risk of SCD (HR 1.48, 95% CI 1.17 to 1.87), but these findings did not remain significant after adjustment for established cardiovascular disease risk factors (HR 0.94, 95% CI 0.73 to 1.20).ConclusionsAmong participants of the ARIC study, VE was not associated with an increased risk for SCD after adjustment for cardiovascular risk factors.

Abstract MP083: Autonomic Imbalance at the Level of Atrioventricular Node, but Not at the Level of Sinus Node, is Associated With Sudden Cardiac Death: The Atherosclerosis Risk in Community Study

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Srini V Mukundan ◽  
Muammar M Kabir ◽  
Jason Thomas ◽  
Golriz Sedaghat ◽  
Jonathan W Waks ◽  
...  
Keyword(s):  
Sudden Cardiac Death ◽  
Cardiac Death ◽  
Cox Regression ◽  
Sinus Node ◽  
Atrioventricular Node ◽  
Av Node ◽  
Atherosclerosis Risk In Communities ◽  
Autonomic Imbalance ◽  
Summary Effect ◽  
Atherosclerosis Risk

Introduction: Autonomic imbalance, quantified by decreased heart rate variability (HRV), is associated with increased cardiovascular mortality. It is unknown if autonomic influences on sinus and atrioventricular (AV) nodes are equally important for the risk of sudden cardiac death (SCD). Hypothesis: Autonomic influences on sinus and AV node are equally strongly associated with increased SCD, non-sudden cardiac death (non-SCD), and non-cardiac death. Methods: Baseline visit 10-second ECGs (n=14,250) of the Atherosclerosis Risk in Communities (ARIC) cohort were analyzed. Normalized variance of P-onset to P-onset intervals (PPVN) and QRS-onset to QRS-onset intervals (QQVN) was calculated to assess autonomic influence on sinus and AV node respectively. Normalized variance of Rpeak - Rpeak intervals was determined as HRV measure. Values were log-transformed to normalize distribution. SCD served as primary outcome. Secondary outcomes were non-SCD and non-cardiac death. Three Cox regression models were constructed for dichotomized at 20 th percentile predictor variables. Results: Over median follow-up of 24.4 years, there were 497 SCDs (incidence 1.66 [95%CI 1.52-1.82], 742 non-SCDs (incidence 2.48 [95%CI 2.31-2.67], and 3,753 non-cardiac deaths (incidence 12.6 [95%CI 12.1-13.0]) per 1,000 person-years. In paired analysis, LogPPVN was significantly larger than LogQQVN (-7.28±1.06 vs. -7.72±1.24; P<0.0001). There was no difference between LogQQVN and Log RRVN (-7.72±1.24 vs -7.72±1.23; P=0.364). After full adjustment, LogRRVN and LogQQVN were significantly associated with non-SCD and SCD. Association with non-SCD was stronger. LogPPVN was independently associated with non-SCD but not SCD. No value was associated with non-cardiac death. Conclusion: Autonomic imbalance at the AV node, with likely summary effect at the bundle of His, is associated with SCD and non-SCD. Autonomic imbalance at the SA node is associated with non-SCD only. Autonomic input to SA and AV node should be further studied.

scholarly journals The Metabolic Syndrome and Risk of Sudden Cardiac Death: The Atherosclerosis Risk in Communities Study

2017 ◽  
Vol 6 (8) ◽  
Author(s):  
Paul L. Hess ◽  
Hussein R. Al‐Khalidi ◽  
Daniel J. Friedman ◽  
Hillary Mulder ◽  
Anna Kucharska‐Newton ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Sudden Cardiac Death ◽  
Cardiac Death ◽  
Atherosclerosis Risk In Communities ◽  
The Metabolic Syndrome ◽  
Atherosclerosis Risk

Abstract 2125: P Wave Morphology Is a Predictor of Poor Cardiac Outcome and Death in MADIT II Patients

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Fredrik Holmqvist ◽  
Pyotr G Platonov ◽  
Scott McNitt ◽  
Slava Polonsky ◽  
Jonas Carlson ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Cardiac Death ◽  
P Wave ◽  
Wave Duration ◽  
P Wave Duration ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Wave Morphology ◽  
Cardiac Outcome ◽  
Madit Ii

The objective of the present study was to non-invasively analyse atrial electrophysiology to identify markers associated with increased risk of mortality and deterioration of heart failure in a high-risk population with advanced CHF and a history of acute myocardial infarction. Patients included in MADIT II with sinus rhythm at baseline were studied (n=802). Unfiltered and bandpass filtered signal-averaged P waves were analyzed to determine orthogonal P wave morphology, P wave duration and RMS20. The association between P wave parameters and data on the clinical course and cardiac events during a mean follow-up of 20 months was analyzed. P wave duration was 139±23 ms and the RMS20 was 1.9±1.1 μV. None of these parameters were significantly associated with poor cardiac outcome. Differences in P wave morphology were independently predictive of non-sudden cardiac death (HR 2.66; 95% CI 1.41–5.04, P=0.0027). In addition, in univariate analyses differences in P wave morphology were found to be associated with an increased risk of all-cause mortality (HR 1.35; 95%CI 1.01–1.81, P=0.042) and cardiac death (HR 1.54; 95%CI 1.10 –2.16, P=0.011) (figure ) In the present study the value of analyzing the P wave morphology in patients with previous myocardial infarction and CHF is demonstrated. Changes in P wave morphology were shown to be independently predictive of increased risk of non-sudden cardiac death. Furthermore, statistically significant associations between P wave morphology changes and all-cause mortality, cardiac death and CHF hospitalization was demonstrated.

P5645Lifetime sex-specific sudden cardiac death prediction using ECG global electrical heterogeneity: the atherosclerosis risk in communities (ARIC) study

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
S Howell ◽  
E Perez-Alday ◽  
D German ◽  
A Bender ◽  
N Rogovoy ◽  
...  
Keyword(s):  
Sudden Cardiac Death ◽  
Prediction Model ◽  
Cardiac Death ◽  
Prediction Models ◽  
Cox Regression ◽  
Density Lipoprotein ◽  
Screening Methods ◽  
Atherosclerosis Risk In Communities ◽  
Clinical Variables ◽  
Atherosclerosis Risk

Abstract Background Sex-based differences in sudden cardiac death (SCD) exist and screening methods for SCD are inadequate. Purpose To develop sex-specific lifetime risk prediction models using electrocardiographic (ECG) global electrical heterogeneity (GEH) and clinical characteristics. Methods Participants from the Atherosclerosis Risk in Communities study with analyzable ECGs (n=14,725; age, 54.2±5.8 yrs; 55% female, 74% white) were followed up for 24.4 years (median). Traditional ECG and GEH variables were measured on 12-lead ECGs. A Cox regression model was used to develop a prediction model. In women, the final model included race, age, coronary heart disease (CHD), stroke, hypertension, diabetes, smoking, high-density lipoprotein, albumin, uric acid, education level, heart rate, QTc, sum absolute QRST integral, spatial peak QRS-T angle. In men, the final prediction model included age, race, CHD, stroke, hypertension, diabetes, total cholesterol, physical activity, smoking, serum phosphorus, albumin, chronic kidney disease, spatial area QRS-T angle, area spatial ventricular gradient (SVG) elevation and magnitude, and peak SVG magnitude. Results There were a total of 530 SCDs. Our prediction models showed robust prediction of SCD in both sexes [(Harrell's C-statistic women 0.863 (95% CI 0.845–0.882), men 0.786 (95% CI 0.786–0.803)]. In women when ECG and GEH variables were added to clinical variables, the net reclassification improved by 9% (P=0.001) (Table). In men there was no significant reclassification improvement. Net reclassification Lifetime SCD Risk: Clinical + ECG + GEH Variables Women Men <5% 5–15% >15% Total <5% 5–15% >15% Total SCD Cases <5% 82 14 0 96 103 16 0 119 5–15% 7 59 10 76 12 116 12 140 >15% 0 0 20 20 0 5 74 79 Lifetime SCD Risk: Total 89 73 30 192 115 137 86 338 Clinical Variables Only Non-Cases <5% 6,956 131 2 7,089 4,411 264 0 4,675 5–15% 180 509 42 731 210 1,059 48 1,317 >15% 0 28 84 112 0 56 214 270 Total 7,136 668 128 7,932 4,621 1,379 262 6,262 Conclusions We were the first to develop sex-specific lifetime SCD prediction models. The addition of ECG GEH to clinical variables improved SCD risk reclassification in women, but not in men. Prediction of SCD was more accurate in women as compared to men.

Sign in / Sign up

Export Citation Format

Share Document