Scoring System for Prediction Model
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Patient characteristic Points assigned(1)
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Demographic factors
Age:
o Males: Age (in years)
o Females: Age (in years) -10
Nursing home resident: +10
Comorbid illnesses
Neoplastic disease: +30
Liver disease: +20
Congestive heart failure: +10
Cerebrovascular disease: +10
Renal disease: +10
Physical examination findings
Altered mental status: +20
Respiratory rate 30/minute
or more: +20
Systolic blood pressure <90
mmHg: +20
Temperature <35 degrees C
or 40 degrees C or more: +15
Pulse 125/minute or more: +10
Laboratory findings
pH <7.35: +30
BUN >10.7 mmol/L: +20
Sodium <130 mEq/L: +20
Glucose >13.9 mmol/L: +10
Hematocrit <30 percent: +10
PO2 <60 mmHg (2): +10
Pleural effusion: +10
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(1) A risk score (total point score) for a given patient is
obtained
by summing the patient age in years (age minus 10
for females) and
the points for each applicable patient
characteristic.
(2) Oxygen saturation <90 percent also was considered
abnormal.
Stratification of Risk Score for Prediction Model
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Risk Risk Class Based on
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Low I Algorithm
Low II 70 or fewer total points
Low III 71-90 total points
Moderate IV 91-130 total points
High V > 130 total points
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This prediction model for prognosis in patients with
community-acquired pneumonia may be used to help guide the
initial decision on site of care. However, its use may not be
appropriate for all patients with this illness and therefore
should be applied in conjunction with physician judgment.
Source - Pg 24-25 March 2002 AARC Times
Source