Related Experiment Video
Updated: Jan 6, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Predictive validity of the risk SCORE model in a Mediterranean population with dyslipidemia
Vicente Bertomeu-González1, Cristina Soriano Maldonado2, Jesús Bleda-Cano3
1Sección de Cardiología, Hospital Universitario de San Juan de Alicante, San Juan de Alicante, Alicante, Spain; Departamento de Medicina Clínica, Universidad Miguel Hernández, Campus de San Juan, Alicante, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV CB16/11/00420), Madrid, Spain.
Insights
The SCORE scale has limited predictive value for cardiovascular events and mortality in dyslipidemia patients without lipid-lowering treatment. Its accuracy is reduced by conditions like diabetes and hypertension.
Area of Science:
- Cardiology
- Preventive Medicine
- Risk Assessment
Background:
- Cardiovascular disease prevention relies on risk assessment, often using the SCORE scale.
- Dyslipidemia is a key factor in cardiovascular risk.
- The SCORE scale's utility in untreated dyslipidemia requires evaluation.
Purpose of the Study:
- To assess the predictive value of the SCORE scale for cardiovascular events and all-cause mortality.
- To evaluate the clinical utility of the SCORE scale in patients with dyslipidemia.
- To determine the impact of comorbidities on SCORE scale accuracy.
Main Methods:
- Analysis of the ESCARVAL-RISK cohort including patients with dyslipidemia and no lipid-lowering treatment.
- Calculation of cardiovascular risk using the SCORE scale.
- Five-year follow-up recording cardiovascular events and all-cause mortality.
- Assessment of sensitivity, specificity, and predictive values at different cut-off points.
- Evaluation of risk factors' influence on diagnostic accuracy.
Main Results:
- In 18,853 patients, the 5% SCORE threshold showed 86% specificity for death and 90% for cardiovascular events, but only 53% sensitivity for death and 32% for events.
- The SCORE scale underestimated risk, classifying 62.8% of event patients and 46.6% of deceased patients as low risk.
- Comorbidities like diabetes, hypertension, and kidney disease reduced predictive accuracy, while metabolic syndrome improved it.
Conclusions:
- The SCORE scale demonstrates limited predictive capability for cardiovascular disease and total mortality in individuals with dyslipidemia.
- The findings suggest a need for caution when applying the SCORE scale in this specific patient population.
- Further research may be needed to refine risk assessment tools for dyslipidemia management.
Background And Aims:
Cholesterol treatment for the primary prevention of cardiovascular disease is based on cardiovascular risk, as assessed by the SCORE (Systematic COronary Risk Evaluation) scale. This study aimed to assess the predictive value and clinical utility of the SCORE scale for preventing cardiovascular events and all-cause mortality in people with dyslipidemia and no lipid-lowering treatment.
Methods:
Patients with dyslipidemia and no lipid-lowering treatment were included from the ESCARVAL-RISK cohort. Cardiovascular risk was calculated by means of the SCORE scale. All deaths and cardiovascular events were recorded for up to five years of follow-up. We calculated sensitivity, specificity and other predictive values for different cut-off points and assessed the effect of different risk factors on the diagnostic accuracy of the SCORE charts.
Results:
In the final cohort of 18,853 patients, there were 1565 cardiovascular events and 268 deaths. The risk value recommended to initiate pharmacological treatment (5%) presented a specificity of 86% for death and 90% for cardiovascular events, and a sensitivity of 53% for death and 32% for cardiovascular events. In addition, the scale classified as low risk 62.8% of the patients who suffered a cardiovascular event and 46.6% of those who died. Antithrombotic treatment, diabetes, hypertension, heart failure, peripheral artery disease and chronic kidney disease were associated with a reduction in the predictive capability of the SCORE scale, whereas metabolic syndrome was related to better risk prediction.
Conclusions:
The predictive capability of the SCORE scale for cardiovascular disease and total mortality in patients with dyslipidemia is limited.
Related Concept Videos
Atherosclerosis III: Management
Coronary Artery Disease I: Introduction
Blood Studies for Cardiovascular System III: Serum Lipid Profile
Serum lipids are fats and fatty substances in the blood and are crucial for various bodily functions, including energy storage, cellular structure, and hormone production. Serum lipids consist of cholesterol, triglycerides, and phospholipids.
Cholesterol is a soft, fat-like substance found in all body cells. It is crucial for producing hormones, vitamin D, and substances that aid...
Coronary Artery Disease IV: Preventive Measures
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT
Cholesterol: Significance and Regulation
Considering cholesterol and...

