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Updated: Aug 6, 2025

Measurement of Lifespan in Drosophila melanogaster
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Estimation of Life's Essential 8 Score with Incomplete Data of Individual Metrics

Yi Zheng1, Tianyi Huang1,2, Marta Guasch-Ferre3,4,5

  • 1Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.

Medrxiv : the Preprint Server for Health Sciences
|March 22, 2023
PubMed

Insights

Life's Essential 8 (LE8) assesses cardiovascular health (CVH) using eight metrics. Routinely collected factors can accurately estimate overall CVH, even with incomplete LE8 data, enabling better CVH tracking.

Area of Science:

  • Cardiovascular Health Assessment
  • Predictive Modeling in Public Health

Background:

  • Life's Essential 8 (LE8) is a comprehensive cardiovascular health (CVH) metric set.
  • Measuring all LE8 components simultaneously is difficult in clinical and research settings.
  • This limits tracking long-term CVH trajectories.

Approach:

  • Utilized data from Nurses' Health Studies (NHS, NHSII), Health Professional's Follow-up Study (HPFS), and National Health and Nutrition Examination Survey (NHANES).
  • Developed predictive models using routinely collected factors (demographics, BMI, smoking, etc.) to estimate LE8 scores.
  • Employed gradient boosting decision trees with cross-validation for model tuning and validation.

Key Points:

  • Models using routinely collected factors accurately predicted LE8 scores with low root mean squared errors (RMSEs).
  • Inclusion of less frequently measured factors further improved prediction accuracy.
  • Predicted CVH scores demonstrated consistent effect estimates compared to observed scores in associational studies.

Conclusions:

  • Routinely measured CVH-related factors can effectively estimate overall CVH when LE8 metrics are incomplete.
  • This approach offers a feasible and cost-effective method for assessing CVH.
  • Enables tracking of individual CVH trajectories in various settings.
Abstract

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