ClinicalTrials.gov
public full text
Public Domain
COPD Readmissions Prediction- ReCOPD Project
To develop predictive models for short-term readmission (60 days) and medium term (one year) for patients with an exacerbation of COPD (eCOPD) which are admitted to any of the participant hospitals. To identify factors contributing to readmission from the time of discharge from the index admission to the studied readmission time. Methodology. Design: Prospective cohort study with a nested case control study, with follow up to one year. Patients: 1500 patients admitted over a year and a half in any of the 9 participant hospitals by an eCOPD. Methods: During admission, background information on patient situation prior to admission, data of the ED during admission, and discharge planning, will be collected from medical history. The investigators will also survey patients (generic and specific health-related quality life -HRQoL- dependence, social support, presence of fragility). All patients will be followed to determining whether any readmission until 60 and up to one year of discharge from the index admission occurs. Patients readmitted at the first 60 days after discharge will be surveyed on a number of possible causes of readmission (continuity of care, medication, complications, individual and social factors). A one to one control group will be established to compare different factors studied in the case group (readmission). Statistical analysis: predictive models will be developed from the derivation sample, and validated in a validation sample. Also, the factors evaluated in the case-control study will be compared using appropriate test for paired samples.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Predicting Adverse Outcomes Using Machine Learning of COPD Patients in Hong Kong#1073343
- Effects of COPD Standardized Management on COPD Exacerbation#1164606
- Predicting Unplanned Hospital Readmissions in People with Multiple Long-Term Conditions#475711
- Boosting Regional Integration for COP D Care Through Guided Implementation and Audit of Post Exacerbation Transition Bundle#893956
- The Impact of Interprofessional Training to Improve the Uptake of Noninvasive Ventilation in Patients Hospitalized With Severe COPD Exacerbation#991675
Record · ID 826243
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive