Heart Failure
Heart failure is a chronic condition where the heart cannot pump blood effectively to meet the body's needs, causing fatigue and fluid buildup.
📊 Key Metrics to Monitor
These health metrics are essential for diagnosing and monitoring heart failure:
🔬 Diagnostic Criteria
Healthcare providers use these thresholds to diagnose and classify heart failure:
| Metric | Threshold | Classification |
|---|---|---|
| BNP | >100 pg/mL | Heart Failure Likely |
| NT-proBNP | >300 pg/mL | Heart Failure Likely |
| Ejection Fraction | <40% | HFrEF |
| Ejection Fraction | 40-49% | HFmrEF |
| Ejection Fraction | ≥50% | HFpEF |
Note: Diagnosis requires clinical evaluation. These criteria are for reference only.
⚠️ Risk Factors
🔴 Potential Complications
If left unmanaged, heart failure may lead to:
✅ Prevention Strategies
📊 Understanding Related Metrics
These health metrics play key roles in diagnosing, monitoring, and managing heart failure. Understanding what each measures helps you better interpret your results.
❓ Frequently Asked Questions
What is Heart Failure?
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How common is Heart Failure?
6.2 million U.S. adults
What metrics should I monitor for Heart Failure?
Key metrics include: BNP, NT-proBNP, Ejection Fraction, Blood Pressure. Regular monitoring of these values can help track disease status and treatment response.
How is Heart Failure diagnosed?
Diagnosis requires clinical evaluation and may include blood tests, physical examination, and other assessments.
Can Heart Failure be prevented?
Prevention strategies typically focus on lifestyle modifications and managing risk factors. Early detection through screening is also important.
🔗 Related Conditions
Explore Your Metrics
Check your own values against population benchmarks using our interactive calculators.
Data Transparency & Sources
Content Information
About this page: This page combines data from authoritative sources with AI-assisted analysis to provide comprehensive metric benchmarks. The content has been written and reviewed by our team to ensure accuracy, relevance, and quality.
How we create this content
Our content creation process combines multiple approaches to ensure quality and accuracy:
- Data Collection: We gather metrics from authoritative sources including WHO, CDC, NIH, and peer-reviewed research
- Analysis: AI tools assist in analyzing patterns, calculating percentiles, and identifying correlations
- Writing: Our team writes original content providing context and insights beyond raw data
- Review: All content is reviewed by our editorial team for accuracy, clarity, and completeness
- Verification: Claims are verified against original sources and cross-referenced with multiple studies
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