Huynh et al developed a score to predict long-term survival for elderly patients admitted to the hospital for heart failure. This can help identify patients who may benefit from more aggressive management. The authors are from Washington University in St. Louis.
Patient selection: age >= 70 with heart failure
Parameters:
(1) age in years
(2) presence of coronary artery disease
(3) presence of dementia
(4) presence of peripheral vascular disease
(5) systolic blood pressure
(6) serum sodium
(7) serum urea nitrogen (SUN)
Parameter |
Finding |
Points |
---|---|---|
age in years |
< 75 years |
0 |
|
>= 75 years |
1 |
coronary artery disease |
absent |
0 |
|
present |
1 |
dementia |
absent |
0 |
|
present |
1 |
peripheral vascular disease |
absent |
0 |
|
present |
1 |
systolic blood pressure |
>= 120 mm Hg |
0 |
|
< 120 mm Hg |
1 |
serum sodium |
>= 135 mmol/L |
0 |
|
< 135 mmol/L |
1 |
serum SUN |
< 30 mg/dL |
0 |
|
>= 30 mg/dL |
1 |
total score =
= SUM(point for all 7 parameters)
Interpretation:
• minimum score: 0
• maximum score: 7
• The higher the score the worse the prognosis.
Total Score |
One Year Mortality Rate |
---|---|
0 or 1 |
9% |
2 or 3 |
22% |
4 to 7 |
73% |
Purpose: To predict long-term survival for an elderly patient admitted to the hospital for heart failure using the risk score of Huynh et al.
Specialty: Cardiology
Objective: severity, prognosis, stage
ICD-10: I50,