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Not yet recruitingNCT06558448Updated Aug 16, 2024

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

An observational study in Heart Failure, sponsored by Chongqing Medical University. Not yet recruiting. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2024-08-16.

Sponsored by Chongqing Medical University · Observational

From the registry’s dates

  • Primary completion was expected by Dec 2024, 1 year 10 months ago, but the record still lists the study as not yet recruiting.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
100,000
Ages
18 Years and older
Sex
All
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Study summary

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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Conditions studied

  • Heart Failure

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03

In context

Heart Failure

5,701 studies on the registry are indexed under Heart Failure; 1,220 are open to participants now.

This study's planned enrollment of 100,000 is above the median of 200 across 1,679 observational studies indexed under Heart Failure.

Browse Heart Failure studies →

Lead sponsor

Chongqing Medical University is the lead sponsor of 75 studies on the registry; 17 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

The study population for this research consists of adult patients, aged 18 and above, with a discharge diagnosis of heart failure between January 2011 and December 2024, as per the guidelines for the diagnosis and treatment of heart failure . The patients' electronic medical records, which include demographic information, comorbidities, treatment plans, and various clinical indicators, are sourced , ensuring a comprehensive and in-depth analysis of the heart failure patient cohort.

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

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.

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Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
100,000 participants (estimated)
Patient registry
No
06

What researchers measure

Primary outcomes

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

    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.

    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.

07

Study locations

No study locations are listed for this record.

08

References and documents

Individual participant data

Plan to share: No — The data analyzed in this study are subject to the following licenses/restrictions: due to ethics committee regulations, the access to the dataset supporting the findings of this study is limited and not public. Requests to access these datasets should be directed to XZ Liu(xiaozhuliu2021@163.com).

No publications or documents are linked to this record.

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 16, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT06558448
Lead sponsor
Chongqing Medical University
Responsible party
QianQian Wang (student, Chongqing Medical University) — Principal investigator
First posted
Aug 16, 2024
Start date
Aug 2024 (estimated)
Primary completion
Dec 2024 (estimated)
Completion
Dec 2024 (estimated)
Last update
Aug 16, 2024

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Aug 2024. You cannot join it, but the record below documents what was studied.

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