[Evaluation of a computer predictive model to stratify risk and site of care in community acquired pneumonia].
BACKGROUND
CAP is a common disorder with a great variability in clinical practice. The decision regarding the appropriate site of care is the most important for the level of treatment and costs. Recently a hospital in our region ( Hospital de Galdakao) developed a prediction rule based on the Pneumonia Severity Index (PSI) plus some additional criteria (hypoxemia <60, shock, previous correct treatment failure, social problems or inability to maintain oral intake, pleural effusion or unstable comorbidities) with an easy computer program to classify patients to be hospitalized or not.


OBJECTIVE
Evaluate that computer program in the emergency department of our hospital.


RESULTS
We included between December 02 and December 04,662 prospective patients with CAP admitted to our emergency department, 58 had a different final diagnosis. 285 (47%) were treated on outpatient basis. Readmission rate was 6%. There was no mortality in this group. 319 (53%) patients were hospitalized, 97 were PSI low risk patients (I-II), 61 of them were admitted to hospital because additional criteria. 45% of these "low risk patients" had significant complications. These results are similar to those obtained in Galdakao*


CONCLUSIONS
The application of this computer risk stratifying program to assess admission to hospital in CAP is simple useful, secure and can be export to different settings. Additional criteria to PSI are necessary to detect low risk patients that complicate.
Tabernero Huguet
E
E
Servicios de Neumología, Hospital Txagorritxu, Vitoria-Gasteiz, Vizcaya. tabernahuguet@yahoo.es
Lobo Beristain
J L
JL
Sánchez Fernández
M
M
Lopetegui Eraso
P
P
Zorrilla
V
V
España Yandiola
P P
PP
D017714:Community-Acquired Infections / Q000188:drug therapy / Q000453:epidemiology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D018410:Pneumonia, Bacterial / Q000188:drug therapy* / Q000453:epidemiology*; D018570:Risk Assessment / Q000379:methods; D012984:Software