Algorithm
Prediction Model for Identification of Patient Risk for Persons with Community-Acquired Pneumonia
_________________________________
|Patients with community-acquired |
|pneumonia |
|_________________________________|
|
|
______________\|/________________
|Is the patient over 50 years of |
|age? |-------Yes-------
|_________________________________| |
| |
| No |
______________\|/________________ |
|Does the patient have a history | |
|of any of the following comorbid | _________\|/________
|conditions? | |Assign patient to |
| o Neoplastic disease | Yes |risk class II-V |
| o Congestive heart failure |----->|based on prediction |
| o Cerebrovascular disease | |model scoring |
| o Renal disease | |system |
| o Liver disease | |__________ _________|
|_________________________________| /|\
| |
| No |
______________\|/________________ |
|Does the patient have any of the | |
|following abnormalities on | |
|physical examination? | |
| o Altered mental status | |
| o Pulse: 125/minute or more | |
| o Respiratory rate: 30/minute or| |
| more |----Yes----------
| o Systolic blood pressure: less |
| than 90 mmHg |
| o Temperature: less than 35 |
| degrees C or 40 degrees C or |
| more |
|_________________________________|
|
| No
______________\|/________________
| |
|Assign patient to risk class I |
|_________________________________|
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