Predictive Models of Readmission in Heart Failure (REIC)
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|ClinicalTrials.gov Identifier: NCT03300791|
Recruitment Status : Recruiting
First Posted : October 3, 2017
Last Update Posted : September 4, 2019
This is a prospective nested case-control study.
Our goals are to create predictive models to readmissions for heart failure and also to define profiles for patients who are readmitted during the first month after the index episode.
Patients who will be admitted in five hospitals in spain by the reason of a heart failure will be recruited during 18 months. Those who will be readmitted in a hospital up to a month after the index episode will be considered cases. Controls will be selected from the initial cohort of hospitalized patients.
|Condition or disease||Intervention/treatment|
|Heart Failure||Other: Admitted|
Objective: To create models for predicting the risk of readmission short term (30-90 days) and medium term (one year).To identify differences between patients readmitted and not readmitted, and profiles of frequently preventable readmissions in our setting.
Methodology: Observational prospective cohort of patients who are discharged with a diagnosis of heart failure in 5 participating centers. further, a nested case-control will be developed in the previous cohort, being cases those readmitted and controls will be chosen according to age, sex, etiology of heart failure, comorbidities and functional status. Sociodemographic, clinical and health related quality of life, empowerment and baseline self-efficacy as predictors of readmission were collected.
Regarding the cases and controls, the quality of life in post-discharge transitional period, empowerment and self-efficacy, caregiver burden, social support, discharge care model, use of health services and adequation, conciliation and adherence to treatment will be assessed . Cox proportional hazards models will be created, and conditional logistic regression models to identify differences between cases and controls.
Expected Results: National Health System will be provided with tools for predicting the risk of readmission useful to clinicians and managers to offer discharge individualized care. The most common characteristics of readmissions and preventable readmissions will be identified, which will be helpful to create specific actions in the future.
|Study Type :||Observational|
|Estimated Enrollment :||1250 participants|
|Official Title:||Predictive Models of Readmission in Heart Failure: Profile of Readmitted Patients|
|Actual Study Start Date :||September 28, 2017|
|Estimated Primary Completion Date :||December 31, 2019|
|Estimated Study Completion Date :||December 31, 2019|
We will include patients who had beeb admitted by an acute heart failure in hospitalization ward
Readmitted patients in the next months after an episode of aute heart failure will be recruited. Controls will be selected between those who were admitted in the baseline but not readmitted in this month.
Other Name: Not readmitted
- Readmission [ Time Frame: 1 month ]Up to a month after admission by heart failure
- Readmission [ Time Frame: 12 months ]Up to 12 months after admission by heart failure
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03300791
|Contact: Susana Garcia-Gutierrez, PhD||+34 944007105 ext email@example.com|
|Contact: Iratxe Lafuente, MSc||+34944007105 ext firstname.lastname@example.org|
|Marisa Bare||Not yet recruiting|
|Sabadell, Barcelona, Spain, 08208|
|Contact: Marisa Bare, PhD 93 7458245 email@example.com|
|Bilbao, Bizkaia, Spain, 48013|
|Contact: Ainara Lozano, MD firstname.lastname@example.org|
|Donostia San Sebastian, Gipuzkoa, Spain, 20014|
|Contact: Irene Rilo, MD 9437000 ext 3704 email@example.com|
|Marbella, Málaga, Spain, 29600|
|Contact: Raul Quiros, MD firstname.lastname@example.org|
|Contact: Emi Rosa email@example.com|
|Principal Investigator: Raul Quiros, MD|
|Principal Investigator:||Susana Garcia-Gutierrez, PhD||Unidad de Investigación. Hospital Galdakao-Usansolo. Osakidetza|