Hyperthyroidism
Hyperthyroidism occurs when the thyroid produces too much thyroid hormone, speeding up metabolism and causing weight loss, rapid heartbeat, and anxiety.
📊 需要监测的关键指标
这些健康指标对于诊断和监测hyperthyroidism至关重要：
🔬 Diagnostic Criteria
Healthcare providers use these thresholds to diagnose and classify hyperthyroidism:
| Metric | Threshold | Classification |
|---|---|---|
| TSH | <0.4 mIU/L | Suppressed |
| Free T4 | >1.8 ng/dL | Elevated |
| Free T3 | >4.0 pg/mL | Elevated |
Note: Diagnosis requires clinical evaluation. These criteria are for reference only.
⚠️ Risk Factors
🔴 Potential Complications
If left unmanaged, hyperthyroidism may lead to:
✅ Prevention Strategies
📊 Understanding Related Metrics
These health metrics play key roles in diagnosing, monitoring, and managing hyperthyroidism. Understanding what each measures helps you better interpret your results.
❓ Frequently Asked Questions
What is Hyperthyroidism?
undefined...
How common is Hyperthyroidism?
~1.2% of U.S. adults
What metrics should I monitor for Hyperthyroidism?
Key metrics include: TSH, Free T4, Free T3, TSI. Regular monitoring of these values can help track disease status and treatment response.
How is Hyperthyroidism diagnosed?
Diagnosis requires clinical evaluation and may include blood tests, physical examination, and other assessments.
Can Hyperthyroidism be prevented?
Prevention strategies typically focus on lifestyle modifications and managing risk factors. Early detection through screening is also important.
🔗 相关疾病
探索您的指标
使用我们的交互式计算器，对照人群基准检查您自己的数值。
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
Our commitment: We prioritize accuracy and transparency. If you find any errors or have concerns about content accuracy, please contact us.