Next-generation, Integrative, and Personalized Risk Assessment to Prevent Recurrent Heart Failure Events: the ORACLE Study

NCT ID: NCT05679713

Last Updated: 2023-01-11

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

1134 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-09-05

Study Completion Date

2024-12-01

Brief Summary

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The aim of this study is to develop and validate an improved, comprehensive risk assessment algorithm integrating blood RNA-based biomarkers, clinical, and patient-centered data and to assess the incremental predictive value (discrimination and reclassification) compared to a traditional risk model (change in the c-statistics for prediction of the primary endpoint).

Detailed Description

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The ORACLE study is a multicenter, observational, prospective, cross-sectional and longitudinal study integrated by 3 different cohorts for 1) RNA biomarker discovery (60 nested case-control sample), 2) model derivation (516 nested case-control sample) and 3) external validation (new prospective cohort of 558 consecutive patients recruited in 4 hospital centers) according to a TRIPOD Statement type 3 analysis. In total 1134 consecutive patients with a HF hospitalization or urgent HF visit \< 30 days before inclusion and followed for 6 months will be studied.

This study include the discovery of novel RNA-based biomarkers using next-generation sequencing technology to define and validate a new biomarker set and clinical and patient-centered risk determinants definition. A new model will be constructed; training and internal validation in the derivation cohort using machine learning methods, and finally an external validation of the new next generation integrative risk assessment model will be performed.

Conditions

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Heart Failure

Study Design

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Observational Model Type

OTHER

Study Time Perspective

CROSS_SECTIONAL

Interventions

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Comprehensive risk assessment algorithm

Risk assessment algorithm including clinical and patient-centered information and a novel RNA-based biomarkers using next-generation sequencing technology.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Age ≥ 18 years old.
* Patients with a recent (\<30 days) acute decompensation of HF requiring intravenous diuretic therapy (either hospitalized or in ambulatory care) or intensification of oral diuretics (ambulatory care).
* HF diagnosis according to European Society of Cardiology (ESC) criteria.
* Written informed consent
* Patients receiving oral standard medication for chronic HF.

Exclusion Criteria

* Age\<18 years old.
* Death before hospital discharge.
* The patient is unable or unwilling to give the informed consent to participate.
* Unstable patients with signs of fluid overload or low cardiac output at the moment of enrollment.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Hospital Universitari de Bellvitge

OTHER

Sponsor Role lead

Responsible Party

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Josep Comín

Prof. Josep Comín-Colet, MD, PhD

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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University Hospital Bellvitge

L'Hospitalet de Llobregat, Barcelona, Spain

Site Status RECRUITING

Countries

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Spain

Central Contacts

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Josep Comín Colet, MD, PhD

Role: CONTACT

+34 932607078

Raúl Ramos Polo, MD

Role: CONTACT

+34 932607078

Facility Contacts

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Josep Comín Colet, MD, PhD

Role: primary

+34-933-35-70-11 ext. 2274

Raúl Ramos Polo, MD

Role: backup

+34-933-35-70-11 ext. 2274

Other Identifiers

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PI21/00264

Identifier Type: -

Identifier Source: org_study_id

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