Scoring System for Prediction Model

Patient Characteristic Points Assigned (1)
Demographic factors
Age: Males
Age: Females
Nursing home resident
Age (in years)
Age (in years) -10
+10
Comorbid diseases
Neoplastic disease
Liver disease
Congestive heart failure
Cerebrovascular disease
Renal disease
+30
+20
+10
+10
+10
Physical examination findings
Altered mental status
Respiratory rate 30/minute or more
Systolic blood pressure <90 mmHg
Temperature <35 degrees C or 40
degrees C or more
Pulse 125/minute or more
+20
+20
+20

+15
+10
Laboratory findings
pH <7.35
BUN >10.7 mmol/L
Sodium <130 mEq/L
Glucose >13.9 mmol/L
Hematocrit <30 percent
PO2 <60 mmHg (2)
Pleural effusion
+30
+20
+20
+10
+10
+10
+10
(1) A risk score (total point score) for a given patient is obtained
by summing the patient age in years (age -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
_________________________________________________
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
_________________________________________________

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.

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