Electrocardiography may be useful in the prevention of cardiovascular disease, study suggests

Electrocardiography (ECG or EKG) may be helpful in measuring the risk of cardiovascular disease in asymptomatic individuals according to a study led by researchers at the Rollins School of Public Health at Emory University.

With nearly half of sudden cardiac deaths occurring in individuals who were unaware of having heart disease, researchers aimed to derive and validate a cardiovascular disease equation based primarily on ECG metrics.

Led by Amit J. Shah, MD, MSCR, assistant professor of epidemiology at Rollins, the team used data from the National Health and Nutrition Examination Survey in which approximately 10,000 community-based adults ages 40-74 years of age were followed for cardiovascular events. From these data, they derived and validated a risk equation based on a patient’s age, sex and three ECG metrics: heart rate, T-axis and QT interval.

An equation based on these metrics identified risk with at least similar accuracy as the Framingham risk and AHA/ACC Pooled Cohort equations (which are the standard of care). Researchers found that by utilizing both the Framingham and ECG risk assessments together, they were able to improve risk classification of cardiovascular death by 25 percent compared to using the Framingham equation alone.

Complete results are available in the August 3rd edition of JAMA Cardiology.

"Although ECG’s are normally used to diagnose present-day heart disease in individuals believed to be at risk, many asymptomatic patients with normal ECG’s may have electrocardiographic signs of disease that could predict future risk," explains Shah. "We believe that this is a potential added benefit of the ECG: to help screen for high risk individuals, and ultimately augment preventive efforts in clinical settings."

Although results of the study proved to be significant, Shah and team believe that future research is necessary to determine whether the combined equation will improve prevention intervention and cardiovascular disease outcomes.

According to Shah, "The next step is to conduct clinical trials to test for the potential benefit of ECG as a screening tool for physicians trying to prevent cardiovascular disease. Because of the low cost of ECG compared to other diagnostic tools, such studies may have very important public health implications."

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Electrocardiography may be useful in the prevention of cardiovascular disease, study suggests

When it comes to predicting depression, race may matter more than was thought, study suggests

Blacks’ answers to standard screening questions may not reveal risk as well

ANN ARBOR, Mich. —  Depression can strike anyone, taking a toll on mental and physical health, friendships, work and studies. But figuring out who’s at risk for it is still a murky task.

A new University of Michigan study suggests that standard ways of looking for depression risk may not work as well among blacks as they do among whites. But listening to how blacks describe their own mental health could help, the study suggests.

In a paper newly published online in Frontiers in Public Health, a researcher from the University of Michigan Medical School and School of Public Health, and his colleague, report results from a new analysis of long-term data from the nationally representative Americans’ Changing Lives study.

The participants studied – 2,205 whites and 1,156 blacks – took a standard depression screening test at the start of their involvement in the long-term tracking study, based at the U-M Institute for Social Research. Called the CES-D and used around the world for decades, it asked them a range of quick questions about their emotions, sleep, appetite, and energy levels.

Fifteen years later, they underwent a much more detailed interview meant to assess their mental health.

Those who had scored high on depressive symptoms at the outset were in general more likely to meet the definition of having major depression at the later date. But when the researchers broke the results down by race, they were surprised.

White participants whose answers on the initial screening indicated a risk for depression were indeed more likely to actually have major depression at the time of the later interview. But this didn’t hold true for blacks.

The difference persisted even after the researchers corrected for differences in the participants’ social, economic and physical health status.

What did seem to predict later depression, though, was black participants’ self-rated health, which is the answers to the simple request to rate their overall health on a scale of excellent to poor. Blacks whose self-reported health status was worse at the start were more likely to have major depression later on.

“Counting the number of symptoms does not similarly inform us about the subsequent risk of the clinical disorder similarly for whites and blacks,” says Shervin Assari, M.D., MPH, senior author of the paper and a research investigator in the U-M Department of Psychiatry. “This finding questions the universal applicability of a tool which has been developed and validated for whites. The results also have major implications for screening and treatment of depression in black communities.”

Assari is a faculty mentor of the Center for Research on Ethnicity, Culture and Health at the U-M School of Public Health, and a member of the U-M Institute for Healthcare Policy and Innovation and the U-M Depression Center.

Assari and his colleague Ehsan Moazen-Zadeh of the Iran University of Medical Sciences say that the results of their research suggest that differences in the longitudinal link between baseline CES-D scores and later risk of major depression may explain some of the differences between blacks and whites that have been seen in depression.

They note that their work does not debunk the validity of the CES-D in measuring depression risk reliably – in fact, the test was more reliable in blacks than whites in measuring depressive symptoms at each time point. But its use in predicting long-term risk of depression in blacks may be lower.

Assari’s work is funded by the Heinz C. Prechter Bipolar Research Fund and the Richard Tam Foundation at the U-M Depression Center. The Americans’ Changing Lives study is supported by the National Institute on Aging (AG018418)

Reference: Frontiers in Public Health, online publication DOI:10.3389/fpubh.2016.00013

CES-D depression screening questionnaire: http://cesd-r.com/

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When it comes to predicting depression, race may matter more than was thought, study suggests