BACKGROUND: Rising health care costs demands justifying prolonged hospitalization for @entity1163 , yet predictors of shorter length of stay (LOS) have not been identified. OBJECTIVE: The objective of this study is to identify independent predictors of LOS for @entity1163 @entity1 presenting to the @entity341 ( @entity341 ). METHODS: We performed an analysis of a prospectively collected cohort of @entity1163 @entity1 . We examined risk factors from the @entity1 's @entity341 presentation and workup and used Spearman rank correlation to evaluate the relationship between these risk factors and LOS in a logistic regression model for prediction of hospitalization less than 1 day. RESULTS: Of 568 total @entity1163 @entity1 , 350 (61.6%) were admitted and comprise the study cohort. Mean age was 57 years (SD,   25 years); 39.6% were male. Length of hospitalization was less than or equal to 1 in 179 @entity1 (51.1%). The number of risk factors was associated with LOS (P < .001). Most hospitalized @entity1 with less than 1 predictor were hospitalized for less than 1 day (152/272; 55.9%). In multivariate logistic regression analysis, clear vasovagal etiology was positively correlated with LOS less than 1 day (odds ratio [OR], 1.92), whereas @entity943 (OR, 0.3), @entity453 (OR, 0.33), abnormal vital signs (OR, 0.35), implantable defibrillator/pacemaker (OR, 0.29), @entity417 / @entity360 (OR, 0.34), and central @entity3002 (OR, 0.09; P < .05 for all) were negatively correlated with LOS less than 1 day. Area under the curve for model accuracy was moderate: 0.70 (95% confidence interval, 0.65-0.76). CONCLUSION: @entity1 with less than 1 predictor of prolonged stay, who present to the @entity341 with @entity1163 , are unlikely to require hospitalization of more than 1 day. A set of predictors may help define which @entity1 are appropriate for 24-hour observation rather than full hospitalization.

Observation vs admission in XXXX : can we predict short length of stays?

@entity1 :: ('9606', 'Species') :: ['Patients', 'patients', 'patient'] @entity417 :: ('MESH:D000740', 'Disease') :: ['anemia'] @entity341 :: ('MESH:D004630', 'Disease') :: ['emergency department', 'ED'] @entity3002 :: ('MESH:D009421', 'Disease') :: ['nervous system abnormalities'] @entity1163 :: ('MESH:D013575', 'Disease') :: ['syncope', 'ED syncope'] @entity453 :: ('MESH:D003324', 'Disease') :: ['coronary artery disease'] @entity943 :: ('MESH:D001145', 'Disease') :: ['dysrhythmia'] @entity360 :: ('MESH:D006471', 'Disease') :: ['gastrointestinal bleeding']
@entity1163 :: (MESH:D013575,Disease) :: ['syncope']
