Related Experiment Video
Updated: Mar 7, 2026

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
Published on: September 26, 2018
Developing and validating a cardiovascular risk score for patients in the community with prior cardiovascular disease
Katrina K Poppe1,2, Rob N Doughty2,3, Sue Wells1
1School of Population Health, University of Auckland, Auckland, New Zealand.
Insights
A new PREDICT-CVD score estimates short-term cardiovascular disease (CVD) risk in patients with existing atherosclerotic CVD. This tool aids primary care risk assessment and communication, promoting risk factor modification.
Area of Science:
- Cardiovascular Medicine
- Public Health
- Clinical Risk Stratification
Background:
- Patients with atherosclerotic cardiovascular disease (CVD) have heterogeneous risks of future events.
- Existing clinical scores for secondary CVD risk assessment are limited, particularly for primary care use.
Purpose of the Study:
- To develop and validate a CVD risk score for primary care settings.
- To estimate short-term (2-year) CVD risk in patients with established atherosclerotic CVD.
Main Methods:
- A Cox model was developed using data from a New Zealand primary care cohort (PREDICT).
- The model predicted myocardial infarction, stroke, or CVD death within 2 years.
- External validation was performed using a UK cohort.
Main Results:
- The PREDICT-CVD score, incorporating ethnicity, comorbidities, BMI, creatinine, and treatment, predicted a median 2-year CVD risk of 5.0%.
- The score demonstrated good calibration and performed well in external validation.
- Overestimation of risk was noted in the highest-risk group, primarily those with heart failure.
Conclusions:
- The PREDICT-CVD score is suitable for primary care implementation using routine clinical data.
- It facilitates risk communication between clinicians and patients with prior CVD.
- The score can highlight the benefits of risk factor modification.
Objective:
Patients with atherosclerotic cardiovascular disease (CVD) vary significantly in their risk of future CVD events; yet few clinical scores are available to aid assessment of risk. We sought to develop a score for use in primary care that estimates short-term CVD risk in these patients.
Methods:
Adults aged <80 years with prior CVD were identified from a New Zealand primary care cohort study (PREDICT), and linked to national mortality, hospitalisation and dispensing databases. A Cox model with an outcome of myocardial infarction, stroke or CVD death within 2 years was developed. External validation was performed in a cohort from the UK.
Results:
24 927 patients, 63% men, 63% European, median age 65 years (IQR 58-72 years), experienced 1480 CVD events within 2 years after a CVD risk assessment. A risk score including ethnicity, comorbidities, body mass index, creatine creatinine and treatment, in addition to established risk factors used in primary prevention, predicted a median 2-year CVD risk of 5.0% (IQR 3.5%-8.3%). A plot of actual against predicted event rates showed very good calibration throughout the risk range. The score performed well in the UK cohort but overestimated risk for those at highest risk, who were predominantly patients defined as having heart failure.
Conclusions:
The PREDICT-CVD secondary prevention score uses routine measurements from clinical practice that enable it to be implemented in a primary care setting. The score will facilitate risk communication between primary care practitioners and patients with prior CVD, particularly as a resource to show the benefit of risk factor modification.
Related Concept Videos
Assessment of the Cardiovascular System I: Subjective Data
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT
Blood Studies for Cardiovascular System I: Cardiac Biomarkers
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
Coronary Artery Disease IV: Preventive Measures
Coronary Artery Disease I: Introduction
Pre-Procedural Guidelines for Assessing Blood Pressure

