Does the scoring patient complexity with COMPRI predict the length of hospital stay? A multicenter study in Japa
Not Applicable
- Conditions
- ot applicable
- Registration Number
- JPRN-UMIN000032715
- Lead Sponsor
- Chiba University
- Brief Summary
The 17 patients allocated to the long-term hospitalisation group (hospitalised >=14 days) had a significantly higher average age, COMPRI score and percentage of participants with comorbid chronic illnesses. A logistic regression model (COMPRI >=6) showed better predictive accuracy compared with a multiple logistic regression model (5-fold cross-validation, AUC of 0.87 vs 0.78). The OR of a patient with a COMPRI of >=6 joining the long-term hospitalisation group was 4.25(1.43-12.63).
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up complete
- Sex
- All
- Target Recruitment
- 33
Inclusion Criteria
Not provided
Exclusion Criteria
We exclude patients who have been hospitalized or rehospitalized for other departments.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method
- Secondary Outcome Measures
Name Time Method