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Model of Huynh et al for Predicting Long-Term Survival in an Elderly Patient Hospitalized for Heart Failure

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.

Description

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%

 


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Specialty

Objective

ICD-10