Related Experiment Video
Updated: Jan 21, 2026

03:05
Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors
Published on: February 16, 2024
1.5K
Risk prediction is improved by adding markers of subclinical organ damage to SCORE
Thomas Sehestedt1, Jørgen Jeppesen, Tine W Hansen
1Department of Internal Medicine, The Cardiovascular Research Unit, Glostrup University Hospital, Nordre Ringvej, Glostrup, Denmark. ts@heart.dk
European Heart Journal
|December 26, 2009
Summary
Subclinical vascular damage independently predicts cardiovascular death, enhancing the Systemic Coronary Risk Evaluation (SCORE) for better risk stratification in healthy individuals.
Area of Science:
- Cardiovascular Medicine
- Preventive Cardiology
- Biomarkers of Cardiovascular Risk
Background:
- The Systemic Coronary Risk Evaluation (SCORE) is widely used for cardiovascular risk stratification.
- The incremental value of subclinical vascular damage in refining risk prediction for healthy individuals remains unclear.
Purpose of the Study:
- To determine if subclinical vascular damage significantly improves cardiovascular risk prediction beyond the established SCORE system in a general population.
Main Methods:
- A population-based cohort of 1968 healthy subjects (aged 41-71) without prior cardiovascular disease or diabetes was assessed.
- Measurements included traditional risk factors, left ventricular mass index, carotid plaques, pulse wave velocity (PWV), and urine albumin/creatinine ratio (UACR).
- Subjects were followed for a median of 12.8 years for cardiovascular mortality.
Main Results:
- Subclinical organ damage, including left ventricular hypertrophy, carotid plaques, elevated UACR, and increased PWV, independently predicted cardiovascular death.
- Incorporating subclinical organ damage into risk prediction models demonstrated potential to improve specificity or sensitivity depending on the strategy.
- Broadening primary prevention to include individuals with lower SCORE (1-5%) and subclinical damage significantly increased sensitivity for identifying those at risk.
Conclusions:
- Subclinical vascular damage is a significant independent predictor of cardiovascular mortality.
- Combining assessments of subclinical organ damage with the SCORE system offers a promising approach to enhance cardiovascular risk stratification and optimize primary prevention strategies.
More Related Videos
Related Concept Videos
Introduction to z Scores
10.9K
A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
z scores...
10.9K
Introduction to z Scores
1.2K
A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
z scores...
1.2K
z Scores and Area Under the Curve
18.4K
z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
18.4K
Predicting Molecular Geometry
45.4K
VSEPR Theory for Determination of Electron Pair Geometries
45.4K
Relative Risk
2.0K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.0K
z Scores and Unusual Values
10.9K
The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
10.9K

