Multimodal Prognostic System for Heart Failure: A Multi-Center Study

This study is a multicenter retrospective research aimed at developing a heart failure prognosis warning system based on multimodal clinical data to improve the diagnosis and treatment of heart failure.

This study aims to address the following main questions:

1. What are the clinical characteristics and current treatment status of heart failure patients? 2. What factors influence the onset of heart failure and the prognosis of patients? 3. How can real-world big data be utilized to construct an accurate heart failure prognosis assessment model? 4. How can this prognosis assessment model help improve the therapeutic effects and quality of life for heart failure patients?

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Key information

Conditions

Heart Failure Cardiovascular Diseases Heart Diseases

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

Age Requirement: We plan to include adult patients aged 18 and above to ensure the study covers a broad spectrum of the adult heart failure patient population.

Diagnostic Criteria: Patients should have a discharge diagnosis of heart failure according to the guidelines for heart failure diagnosis and treatment.

Time Frame: The discharge time of patients should be between January 2011 and December 2024 to collect and analyze data from the past several years.

Data Integrity: There is a preference for including medical records with high data integrity, but the specific criteria may be adjusted according to the actual situation of the dataset.

Exclusion criteria

Data Missing: Patients with more than 30% missing data in their medical records may be considered for exclusion to ensure the accuracy and reliability of the analysis.

Diagnostic Inconsistency: Patients with unclear diagnoses or potential for confusion with other diseases may be excluded to ensure the specificity of the study.

Non-standard Treatment: Patients who have not received treatment according to the established treatment protocol may be excluded to reduce the impact of treatment variability on the study results.

Treatment and study plan

Primary outcomes

In-hospital mortality or other adverse outcomes, including readmission, in-hospital infection, respiratory failure, liver failure, and renal failure.

Time frame: Evaluations will be conducted within 30, 60, or 90 days post-admission for heart failure patients to assess the impact of the condition and the effectiveness of treatment.

The study focuses on evaluating the risk factors and predictors of in-hospital mortality and various adverse outcomes in heart failure patients, encompassing events such as readmission due to exacerbation of the condition, infections acquired during hospital stay, critical impairments in respiratory, liver, and kidney functions that may complicate the clinical course and impact patient prognosis.

Sponsors and collaborators

Lead sponsor

Chongqing Medical University

Other

Registry information

Official study title

Developing a Prognostic Warning System for Heart Failure Based on Multimodal Clinical Data: a Multi-center Retrospective Study

Important dates

Study start: 2024
Primary completion: 2024
Study completion: 2024
First posted: Aug 16, 2024
Registry last updated: Aug 16, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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