ADHERE Risk Model
Predicts in-hospital mortality risk in patients with acute decompensated heart failure. Higher scores indicate increased risk of in-hospital death.
Laboratory Values
Scoring System
BUN: <20 (0), 20-29 (1), 30-39 (2), ≥40 (3)
Systolic BP: ≥130 (0), 110-129 (1), 90-109 (2), <90 (3)
Creatinine: <1.0 (0), 1.0-1.4 (1), 1.5-1.9 (2), ≥2.0 (3)
Heart Rate: <70 (0), 70-89 (1), ≥90 (2)
Sodium: ≥135 (0), 130-134 (1), <130 (2)
ADHERE Risk Model
The ADHERE Risk Model is a validated risk stratification tool used to predict in-hospital mortality in patients with acute decompensated heart failure (ADHF). This model was developed using data from the Acute Decompensated Heart Failure National Registry (ADHERE) and provides clinicians with a simple, bedside risk assessment tool.
Model Development
The ADHERE Risk Model was developed using data from 33,046 patients hospitalized with ADHF across 263 hospitals in the United States. The model identifies five key variables that independently predict in-hospital mortality:
Scoring Criteria
The ADHERE Risk Model assigns points based on five clinical variables:
Variable | Points |
---|---|
Blood Urea Nitrogen (BUN) | |
< 20 mg/dL | 0 |
20-29 mg/dL | 1 |
30-39 mg/dL | 2 |
≥ 40 mg/dL | 3 |
Systolic Blood Pressure | |
≥ 130 mmHg | 0 |
110-129 mmHg | 1 |
90-109 mmHg | 2 |
< 90 mmHg | 3 |
Serum Creatinine | |
< 1.0 mg/dL | 0 |
1.0-1.4 mg/dL | 1 |
1.5-1.9 mg/dL | 2 |
≥ 2.0 mg/dL | 3 |
Heart Rate | |
< 70 bpm | 0 |
70-89 bpm | 1 |
≥ 90 bpm | 2 |
Serum Sodium | |
≥ 135 mEq/L | 0 |
130-134 mEq/L | 1 |
< 130 mEq/L | 2 |
Risk Stratification and In-Hospital Mortality
Score Range | Risk Level | In-Hospital Mortality | Clinical Implication |
---|---|---|---|
0-3 | Low | 2.1% | Standard management |
4-6 | Medium | 6.4% | Close monitoring |
7-9 | High | 13.6% | Intensive care |
≥ 10 | Very High | 27.7% | Critical care |
Clinical Applications
The ADHERE Risk Model is used for:
- Risk stratification: Identifying patients at high risk of in-hospital mortality
- Resource allocation: Guiding decisions about level of care and monitoring
- Treatment intensity: Determining aggressiveness of therapy
- Discharge planning: Assessing readiness for discharge
- Family counseling: Providing prognostic information to patients and families
Management Recommendations by Risk Level
Low Risk (Score 0-3)
- In-hospital mortality: 2.1%
- Management:
- Standard heart failure management
- Regular monitoring
- Consider early discharge planning
- Optimize medical therapy
Medium Risk (Score 4-6)
- In-hospital mortality: 6.4%
- Management:
- Close monitoring required
- Consider telemetry monitoring
- Aggressive medical therapy
- Consider intensive care if clinical status deteriorates
High Risk (Score 7-9)
- In-hospital mortality: 13.6%
- Management:
- Intensive monitoring and aggressive therapy
- Consider ICU admission
- Hemodynamic monitoring
- Consider advanced therapies (inotropes, mechanical support)
Very High Risk (Score ≥ 10)
- In-hospital mortality: 27.7%
- Management:
- Critical care management
- ICU admission recommended
- Consider advanced therapies
- Palliative care consultation
- Family discussions about goals of care
Validation and Performance
The ADHERE Risk Model has been extensively validated:
- Discrimination: Good ability to distinguish between patients with different mortality risks (C-statistic 0.74)
- Calibration: Well-calibrated across different populations
- External validation: Validated in multiple cohorts
- Clinical utility: Shown to improve clinical decision-making
Advantages of the ADHERE Model
- Simple: Easy to calculate at the bedside
- Rapid: Can be calculated quickly using readily available data
- Validated: Extensively validated in large populations
- Practical: Uses commonly measured laboratory values
- Prognostic: Provides accurate mortality risk assessment
Limitations and Considerations
The ADHERE Risk Model has several limitations:
- Static prediction: Does not account for changes in clinical status during hospitalization
- Population-based: May not apply to individual patients
- Not a treatment guide: Should be used with clinical judgment
- Evolving therapies: May not reflect benefits of newer treatments
- Regional differences: May need adjustment for different populations
Integration with Clinical Practice
The ADHERE Risk Model should be used as part of a comprehensive clinical assessment:
- Combine with other clinical parameters and judgment
- Consider patient preferences and values
- Regular reassessment as clinical status changes
- Use in shared decision-making with patients and families
- Follow institutional protocols and guidelines
Comparison with Other Risk Models
The ADHERE Risk Model offers several advantages:
- Simplicity: Only five variables required
- Speed: Can be calculated immediately upon admission
- Validation: Developed and validated in large, diverse populations
- Practicality: Uses routinely available clinical data
- Prognostic accuracy: Good discrimination for in-hospital mortality
The ADHERE Risk Model is a valuable tool in the management of acute decompensated heart failure, providing clinicians with objective risk stratification to guide treatment decisions, resource allocation, and patient counseling.
References
- Fonarow, G. C., Adams, K. F., Abraham, W. T., Yancy, C. W., Boscardin, W. J., & ADHERE Scientific Advisory Committee, Study Group, and Investigators. (2005). Risk stratification for in-hospital mortality in acutely decompensated heart failure: classification and regression tree analysis. JAMA, 293(5), 572-580.
- Fonarow, G. C., Corday, E., & ADHERE Scientific Advisory Committee. (2004). Overview of acutely decompensated congestive heart failure (ADHERE). American heart journal, 148(2), 209-212.
- Abraham, W. T., Fonarow, G. C., Albert, N. M., Stough, W. G., Gheorghiade, M., Greenberg, B. H., ... & Yancy, C. W. (2008). Predictors of in-hospital mortality in patients hospitalized for heart failure: insights from the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF). Journal of the American College of Cardiology, 52(5), 347-356.
- Gheorghiade, M., Abraham, W. T., Albert, N. M., Gattis Stough, W., Greenberg, B. H., O'Connor, C. M., ... & Yancy, C. W. (2006). Systolic blood pressure at admission, clinical characteristics, and outcomes in patients hospitalized with acute heart failure. JAMA, 296(18), 2217-2226.
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