Cohen 6-Month Prognosis Calculator
Here’s a comprehensive table summarizing the key aspects of the model:
| Aspect | Details |
|---|---|
| Purpose | To predict 6-month survival for hemodialysis patients |
| Predictors | 1. Older Age 2. Dementia 3. Peripheral Vascular Disease 4. Decreased Albumin 5. Surprise Question |
| Hazard Ratios | 1. Age: 1.36 (for 10-year increase) 2. Dementia: 2.24 3. Peripheral Vascular Disease: 1.88 4. Albumin: 0.27 (for 1-U increase) 5. Surprise Question: 2.71 |
| 95% Confidence Intervals | 1. Age: 1.17 to 1.57 2. Dementia: 1.11 to 4.48 3. Peripheral Vascular Disease: 1.24 to 2.84 4. Albumin: 0.15 to 0.50 5. Surprise Question: 1.76 to 4.17 |
| Model Performance | Area Under the Curve (AUC): – Derivation cohort: 0.87 (95% CI 0.82 to 0.92) – Validation cohort: 0.80 (95% CI 0.73 to 0.88) |
| Application | Can be incorporated into routine dialysis care to identify high-risk patients |
| Time Points | Predicts mortality risk at 6, 12, and 18 months |
| Limitations | Tends to overpredict mortality risk, especially at later time points |
| Validation Results | Moderate discrimination with AUCs of 0.71-0.72 for all three time points |
| Clinical Utility | Helps target vulnerable patients for timely supportive care interventions |
This table provides a concise overview of the Cohen 6-Month Prognosis model, including its predictors, hazard ratios, performance metrics, and clinical applications.