Racial Differences in Heart Age and Impact on Mortality

Hirsch, Joshua R.; Waits, George S.; Li, Yabing; Soliman, Elsayed Z.

doi:10.1016/j.jnma.2017.08.003

Cited by 11 publications

(13 citation statements)

References 14 publications

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“…This result is in accordance with previous reports that demonstrated the association between AgeDiff (gap between BA and CA) and mortality. 11 Our data con rmed these results with hundreds of automatically measured ECG parameters in Japanese patients without structural heart diseases. Also, our data suggested that AgeDiff with the method we employed could be one of the promising markers for predicting mortality.…”

Section: Clinical Implication Of Gap Between Ecg-predicted Ba and Casupporting

confidence: 76%

“…5,6,8 There have been several studies that challenged to predict BA or "heart age" using ECG. [9][10][11] Moreover, it has been reported that there is a discrepancy between BA estimated by ECG and the actual CA, 9 which could be related to individual physical conditions and also various cardiovascular diseases. This concept could be utilized to the simple method of screening for the patient health status, but for actual clinical use, we may have to consider the racial difference in the performance for the prediction models of BA.…”

Section: Introductionmentioning

confidence: 99%

“…This concept could be utilized to the simple method of screening for the patient health status, but for actual clinical use, we may have to consider the racial difference in the performance for the prediction models of BA. 11 Moreover, so far, most of the models have developed with only several representative ECG parameters by linear regression model, 10,12 and in only one report, arti cial intelligence modeling was applied. 9 In the present study, we developed a prediction model for BA with hundreds of automatically measured ECG parameters by principal component analysis (PCA) algorithm 4 using a single-center cohort in a Japanese cardiovascular hospital.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of biological age and all-cause mortality by 12-lead electrocardiogram in patients without structural heart disease

Hirota

Suzuki

Arita

et al. 2020

Preprint

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Background: The 12-lead electrocardiogram (ECG) is affected by not only the cardiovascular but also the non-cardiovascular status. Whether ECG can be the determinant of biological age (BA) and the gap between chronological age (CA) and ECG-predicted BA reflect differences in prognosis are unclear. Methods: In the Shinken Database 2010 – 2017 (n = 19170), 12-lead ECG was analyzed in 13005 patients excluding those with structural heart disease or having pacing beats, atrial or ventricular tachyarrhythmia, and indeterminate axis (R axis > 180˚) on index ECG. The prediction model of BA was developed by principal component analysis with 438 ECG parameters. The gap between ECG-predicted BA and CA was calculated (AgeDiff = ECG-predicted BA − CA). Results: The ECG-predicted BA was significantly correlated with CA (r = 0.967). Patients with a positively wide AgeDiff had a higher incidence of all-cause mortality compared to those with a narrow AgeDiff or those with negative AgeDiff. The risk of AgeDiff > 0 for all-cause mortality compared with AgeDiff ≤ 0 was 1.78 (95%CI: 1.00 − 3.16), which increased according to the aging and became the highest in patients with CA of 71 − 80 years. Conclusion: Our data suggested that 12-lead ECG can be a tool to estimate BA. The gap between ECG-predicted BA and CA allowed estimation of increased risk of all-cause mortality in patients without structural heart disease.

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Section: Clinical Implication Of Gap Between Ecg-predicted Ba and Casupporting

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Prediction of biological age and all-cause mortality by 12-lead electrocardiogram in patients without structural heart disease

Hirota

Suzuki

Arita

et al. 2020

Preprint

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“…Overall, in the U.S., Blacks show the greatest mean heart age, or the estimated age of a person’s cardiovascular system given the CVD risk factors, at 13 years. “Each 10 years of excess heart age was associated with 65% increased risk of CVD mortality” [ 42 ]. Mexican Americans were next “oldest” at 10.5 years, and Whites were “youngest” at 8.5 years [ 42 ].…”

Section: Racial and Ethnic Disparitiesmentioning

confidence: 99%

“…“Each 10 years of excess heart age was associated with 65% increased risk of CVD mortality” [ 42 ]. Mexican Americans were next “oldest” at 10.5 years, and Whites were “youngest” at 8.5 years [ 42 ]. Cardiovascular health has declined over the last 30 years for all racial and ethnic groups, yet the Black-White CVD -gap is narrowing.…”

Section: Racial and Ethnic Disparitiesmentioning

confidence: 99%

Reversing the Trends toward Shorter Lives and Poorer Health for U.S. Women: A Call for Innovative Interdisciplinary Research

Schweinhart

Clayton

2018

IJERPH

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The United States (U.S.) is a leader and innovator in biomedicine, yet trails behind for many key health indicators, especially for women. This paper highlights key evidence indicating that not only is the state of women’s health in the U.S. lagging, but it is at risk for falling off the curve. Women’s health care remains fragmented; research in the field can be disconnected and difficult to integrate across disciplines—silos prevail. Structural obstacles contribute to this lack of cohesion, and innovative, interdisciplinary research approaches which integrate the multidimensional aspects of sex and gender, and race and ethnicity, with a life course perspective are sorely needed. Such synergistic, scientific strategies have the potential to reverse the trend towards shorter life expectancy and poorer health for women in the U.S. The National Institute for Health (NIH) seeks to raise the bar for the health of all women by tackling these issues through enhancing the relevance of biomedical research to the health of women and driving the sustained advancement of women in biomedical careers.

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Association of cancer treatment with excess heart age among five-year young breast cancer survivors

Vo,

Rosenberg,

Zhang

et al. 2024

J Cancer Surviv

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Purpose Data evaluating cardiovascular disease (CVD) risk by cancer treatment among young women (≤ 40 years) with breast cancer are limited. Methods Among 372 five-year breast cancer survivors aged 30–40 years from the Young Women's Breast Cancer Study, we assessed the association of cancer treatments (anthracyclines, trastuzumab, radiation/laterality, endocrine therapy) and excess heart age (difference between predicted 10-year CVD risk as assessed by adapted Framingham Risk Score and chronological age), prevalent elevated excess heart age (≥ 2 years), and worsening excess heart age (change of ≥ 2 excess heart age years) at breast cancer diagnosis and two- and five-year follow-up using multivariable linear and logistic regressions. Results Most women had stage I or II (79%), ER + (71%), or PR + (65%) breast cancer. At diagnosis, women had little excess heart age by treatment receipt (range of means = -0.52,0.91 years). Left-sided radiation (β = 2.49,SE = 0.96,p = 0.01) was associated with higher excess heart age at five-year follow-up. For prevalent elevated excess heart age (two-year = 26%;five-year = 27%), women treated with right-sided radiation had increased risk at two-years (OR = 2.17,95%CI = 1.12–4.19), yet at five-years, associations were observed after any radiation (OR = 1.92,95%CI = 1.09–3.41), especially after left-sided (OR = 2.13,95%CI = 1.09–3.41) radiation. No associations were observed between systemic treatments and prevalent elevated excess heart age or any treatments with worsening excess heart age. Conclusions Among young breast cancer survivors, radiation, but not other cancer treatments, was associated with elevated excess heart age. Implications for cancer survivors CVD risk tools that incorporate cancer treatment, such as radiation, are needed to identify high risk young breast cancer survivors given the long survivorship and long latency of cardiovascular disease.

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Racial Differences in Heart Age and Impact on Mortality

Cited by 11 publications

References 14 publications

Prediction of biological age and all-cause mortality by 12-lead electrocardiogram in patients without structural heart disease

Prediction of biological age and all-cause mortality by 12-lead electrocardiogram in patients without structural heart disease

Reversing the Trends toward Shorter Lives and Poorer Health for U.S. Women: A Call for Innovative Interdisciplinary Research

Association of cancer treatment with excess heart age among five-year young breast cancer survivors

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