Adding Depression, Anxiety Measures to CVD Prediction Model Has Little Impact

Follow Drugslib on

Medically reviewed by Carmen Pope, BPharm. Last updated on Jan 13, 2025.

By Elana Gotkine HealthDay Reporter

MONDAY, Jan. 13, 2025 -- Inclusion of measures of depression and anxiety to the American Heart Association Predicting Risk of Cardiovascular Disease Events (PREVENT) prediction model has little additional impact on risk classification of cardiovascular disease (CVD), according to a study published online Jan. 13 in CMAJ, the journal of the Canadian Medical Association.

Shinya Nakada, M.P.H., from the University of Glasgow in the United Kingdom, and colleagues developed and internally validated risk prediction models using 60 and 40 percent, respectively, of the cohort data from the U.K. Biobank, to examine whether adding measures of anxiety and depression to the PREVENT predictors improves the prediction of CVD risk. CVD events were identified using hospital admission and death certificate data during a 10-year period. Incremental predictive values were determined by adding the mental health predictors to the PREVENT predictors using Harrell's C-indices.

The derivation set included 195,489 U.K. Biobank participants, and the validation set included 130,326. The researchers found that the inclusion of all mental health measures, except self-reported anxiety, in the validation set yielded a very modest increase in the C-index and specificity, while there was no change seen in sensitivity. Of the mental health predictors, the depressive symptom score yielded the greatest improvements in C-index and specificity (differences, 0.005 and 0.89 percent, respectively). Similar small improvements were seen for the depressive symptom score in female and male validation sets.

"Investigating broader mental health conditions using more established tools or diagnostic interview data could be the focus of future studies to further refine CVD risk classification," the authors write.

One author disclosed ties to the pharmaceutical industry.

Abstract/Full Text

Disclaimer: Statistical data in medical articles provide general trends and do not pertain to individuals. Individual factors can vary greatly. Always seek personalized medical advice for individual healthcare decisions.

Source: HealthDay

Posted : 2025-01-14 06:00

Read more

Disclaimer

Every effort has been made to ensure that the information provided by Drugslib.com is accurate, up-to-date, and complete, but no guarantee is made to that effect. Drug information contained herein may be time sensitive. Drugslib.com information has been compiled for use by healthcare practitioners and consumers in the United States and therefore Drugslib.com does not warrant that uses outside of the United States are appropriate, unless specifically indicated otherwise. Drugslib.com's drug information does not endorse drugs, diagnose patients or recommend therapy. Drugslib.com's drug information is an informational resource designed to assist licensed healthcare practitioners in caring for their patients and/or to serve consumers viewing this service as a supplement to, and not a substitute for, the expertise, skill, knowledge and judgment of healthcare practitioners.

The absence of a warning for a given drug or drug combination in no way should be construed to indicate that the drug or drug combination is safe, effective or appropriate for any given patient. Drugslib.com does not assume any responsibility for any aspect of healthcare administered with the aid of information Drugslib.com provides. The information contained herein is not intended to cover all possible uses, directions, precautions, warnings, drug interactions, allergic reactions, or adverse effects. If you have questions about the drugs you are taking, check with your doctor, nurse or pharmacist.

Popular Keywords