Cardiovascular Risk
General Cardiovascular Disease (CVD) Risk
What is General Cardiovascular Disease (CVD) Risk?
General CVD Risk refers to the likelihood of developing any form of cardiovascular disease (CVD), which encompasses a range of conditions affecting the heart and blood vessels including coronary heart disease (heart attacks), stroke, peripheral artery disease, and heart failure. It provides insight into your overall cardiovascular health.
How to retrieve General Cardiovascular Disease (CVD) Risk from Vitals™ SDK?
ItemItem | DescriptionDescription |
|---|---|
| Supported by Server Version(s) | NyanCat (V1 Backend)CrimsonLion (V2 Backend) |
| User Info Required | Age, gender, smoker, diabetes, hdl, and total cholesterol data are optional to obtain this metric value, but we strongly recommend you to input them for higher accuracy. |
| Vitals™ SDK API | Please use the healthResult.health.risks.cardiovascularRisks.generalRisk variable provided by the callback function onVideoFrameProcessed. |
| API Reference | Health, HealthRisks, CardiovascularRisks |
What does it mean to have high General Cardiovascular Disease (CVD) Risk?
A high CVD Risk score indicates a greater risk of developing CVDs, factoring in age, cholesterol levels, blood pressure, diabetes, smoking status, and other conditions.
What does it mean to have low General Cardiovascular Disease (CVD) Risk?
A low CVD Risk score suggests a lower risk of CVDs. This tool helps clinicians to guide preventive measures for cardiovascular diseases.
How does Vitals™ SDK measure it?
The Framingham Risk Score is a gender-specific algorithm utilized to assess an individual's 10-year risk of developing cardiovascular diseases. This algorithm is derived from the Framingham Heart Study.
Unit of Measurement: N/A
Range
Value (%)Value (%) | Quantitative InterpretationQuantitative Interpretation |
|---|---|
| ≥ 20 | High |
| [10, 20) | Moderately High |
| [1, 10) | Slightly High |
| < 1 | Normal |
The output range is [0, 1].
TIP
You can convert the returned value from the SDK to a percentage by multiplying it by 100, and refer to this range table for interpretation.
References
Congestive Heart Failure (CHF) Risk
What is Congestive Heart Failure (CHF) Risk?
Congestive Heart Failure (CHF) Risk is the probability of developing heart failure, a serious condition where the heart muscle becomes too weak or stiff to effectively pump blood throughout the body. This can lead to fluid buildup in the lungs and other parts of the body, causing shortness of breath, fatigue, and swelling.
How to retrieve Congestive Heart Failure (CHF) Risk from Vitals™ SDK?
ItemItem | DescriptionDescription |
|---|---|
| Supported by Server Version(s) | NyanCat (V1 Backend)CrimsonLion (V2 Backend) |
| User Info Required | Age, gender, smoker, diabetes, hdl, and total cholesterol data are optional to obtain this metric value, but we strongly recommend you to input them for higher accuracy. |
| Vitals™ SDK API | Please use the healthResult.health.risks.cardiovascularRisks.congestiveHeartFailure variable provided by the callback function onVideoFrameProcessed. |
| API Reference | Health, HealthRisks, CardiovascularRisks |
What does it mean to have high Congestive Heart Failure (CHF) Risk?
A high CHF Risk indicates a greater risk of developing heart failure in the future. This can caused by high blood pressure, coronary artery disease, diabetes, obesity, a history of heart attack, or other heart conditions.
What does it mean to have low Congestive Heart Failure (CHF) Risk?
A low CHF Risk suggests a lower risk of developing heart failure. This tool enables early detection of potential heart problems and timely intervention if necessary.
How does Vitals™ SDK measure it?
The Framingham Risk Score is a gender-specific algorithm utilized to assess an individual's 10-year risk of developing cardiovascular diseases. This algorithm is derived from the Framingham Heart Study.
Unit of Measurement: N/A
Range
Value (%)Value (%) | Quantitative InterpretationQuantitative Interpretation |
|---|---|
| ≥ 20 | High |
| [10, 20) | Moderately High |
| [1, 10) | Slightly High |
| < 1 | Normal |
The output range is [0, 1].
TIP
You can convert the returned value from the SDK to a percentage by multiplying it by 100, and refer to this range table for interpretation.
References
Coronary Heart Disease (CHD) Risk
What is Coronary Heart Disease (CHD) Risk?
Coronary Heart Disease (CHD) Risk is the probability of developing CHD. CHD occurs when the coronary arteries, the blood vessels supplying the heart muscle, become narrowed or blocked due to plaque buildup. This can lead to chest pain (angina), shortness of breath, and potentially a heart attack.
How to retrieve Coronary Heart Disease (CHD) Risk from Vitals™ SDK?
ItemItem | DescriptionDescription |
|---|---|
| Supported by Server Version(s) | NyanCat (V1 Backend)CrimsonLion (V2 Backend) |
| User Info Required | Age, gender, smoker, diabetes, hdl, and total cholesterol data are optional to obtain this metric value, but we strongly recommend you to input them for higher accuracy. |
| Vitals™ SDK API | Please use the healthResult.health.risks.cardiovascularRisks.coronaryHeartDisease variable provided by the callback function onVideoFrameProcessed. |
| API Reference | Health, HealthRisks, CardiovascularRisks |
What does it mean to have high Coronary Heart Disease (CHD) Risk?
A high CHD Risk suggests a greater risk of developing CHD. This can caused by high blood pressure, high cholesterol, smoking, diabetes, obesity, family history of heart disease, and older age.
What does it mean to have low Coronary Heart Disease (CHD) Risk?
A low CHD Risk indicates a lower risk of developing CHD. Regular exercise, a balanced diet low in saturated and trans fats, maintaining a healthy weight, and avoiding smoking are essential for long-term heart health.
How does Vitals™ SDK measure it?
The Framingham Risk Score is a gender-specific algorithm utilized to assess an individual's 10-year risk of developing cardiovascular diseases. This algorithm is derived from the Framingham Heart Study.
Unit of Measurement: N/A
Range
Value (%)Value (%) | Quantitative InterpretationQuantitative Interpretation |
|---|---|
| ≥ 20 | High |
| [10, 20) | Moderately High |
| [1, 10) | Slightly High |
| < 1 | Normal |
The output range is [0, 1].
TIP
You can convert the returned value from the SDK to a percentage by multiplying it by 100, and refer to this range table for interpretation.
References
Intermittent Claudication (IC) Risk
What is Intermittent Claudication (IC) Risk?
Intermittent Claudication (IC) Risk is the probability of developing IC, a symptom of peripheral artery disease (PAD). PAD occurs when the arteries in the legs and feet become narrowed or blocked due to plaque buildup, reducing blood flow to the limbs. Assessing IC Risk helps identify individuals at increased risk of developing PAD.
How to retrieve Intermittent Claudication (IC) Risk from Vitals™ SDK?
ItemItem | DescriptionDescription |
|---|---|
| Supported by Server Version(s) | NyanCat (V1 Backend)CrimsonLion (V2 Backend) |
| User Info Required | Age, gender, smoker, diabetes, hdl, and total cholesterol data are optional to obtain this metric value, but we strongly recommend you to input them for higher accuracy. |
| Vitals™ SDK API | Please use the healthResult.health.risks.cardiovascularRisks.intermittentClaudication variable provided by the callback function onVideoFrameProcessed. |
| API Reference | Health, HealthRisks, CardiovascularRisks |
What does it mean to have high Intermittent Claudication (IC) Risk?
A high IC Risk indicates a greater risk of developing IC and underlying PAD. This can be a result from smoking, diabetes, high blood pressure, high cholesterol, and older age.
What does it mean to have low Intermittent Claudication (IC) Risk?
A low IC risk means a lower risk of developing IC and PAD. Regular exercise, a balanced diet, and avoiding smoking are important for maintaining good vascular health.
How does Vitals™ SDK measure it?
The Framingham Risk Score is a gender-specific algorithm utilized to assess an individual's 10-year risk of developing cardiovascular diseases. This algorithm is derived from the Framingham Heart Study.
Unit of Measurement: N/A
Range
Value (%)Value (%) | Quantitative InterpretationQuantitative Interpretation |
|---|---|
| ≥ 20 | High |
| [10, 20) | Moderately High |
| [1, 10) | Slightly High |
| < 1 | Normal |
The output range is [0, 1].
TIP
You can convert the returned value from the SDK to a percentage by multiplying it by 100, and refer to this range table for interpretation.
References
Stroke Risk
What is Stroke Risk?
Stroke Risk refers to the likelihood of experiencing a stroke. A stroke occurs when the blood supply to part of the brain is interrupted, either due to a blockage (ischemic stroke) or a rupture (hemorrhagic stroke). Depending on the severity and location of the stroke, this can lead to brain damage and a range of disabilities.
How to retrieve Stroke Risk from Vitals™ SDK?
ItemItem | DescriptionDescription |
|---|---|
| Supported by Server Version(s) | NyanCat (V1 Backend)CrimsonLion (V2 Backend) |
| User Info Required | Age, gender, smoker, diabetes, hdl, and total cholesterol data are optional to obtain this metric value, but we strongly recommend you to input them for higher accuracy. |
| Vitals™ SDK API | Please use the healthResult.health.risks.cardiovascularRisks.stroke variable provided by the callback function onVideoFrameProcessed. |
| API Reference | Health, HealthRisks, CardiovascularRisks |
What does it mean to have high Stroke Risk?
A high Stroke Risk suggests a greater risk of having a stroke. This may be due to high blood pressure, atrial fibrillation (irregular heartbeat), high cholesterol, smoking, diabetes, family history of stroke, and older age.
What does it mean to have low Stroke Risk?
A low Stroke Risk indicatets a lower risk of experiencing a stroke. This tool helps individuals and healthcare providers to proactively manage and mitigate stroke risk factors.
How does Vitals™ SDK measure it?
The Framingham Risk Score is a gender-specific algorithm utilized to assess an individual's 10-year risk of developing cardiovascular diseases. This algorithm is derived from the Framingham Heart Study.
Unit of Measurement: N/A
Range
Value (%)Value (%) | Quantitative InterpretationQuantitative Interpretation |
|---|---|
| ≥ 20 | High |
| [10, 20) | Moderately High |
| [1, 10) | Slightly High |
| < 1 | Normal |
The output range is [0, 1].
TIP
You can convert the returned value from the SDK to a percentage by multiplying it by 100, and refer to this range table for interpretation.