Clinical trial NCT06558448: Multimodal Prognostic System for Heart Failure: A Multi-Center Study
Official title: Developing a Prognostic Warning System for Heart Failure Based on Multimodal Clinical Data: a Multi-center Retrospective Study
Study type: OBSERVATIONAL
Overall status: NOT_YET_RECRUITING
Conditions: Heart Failure
Lead sponsor: Chongqing Medical University
Sponsor class: OTHER
First posted: 2024-08-16
Enrollment: 100000
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: PROSPECTIVE
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.

Brief 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?


Eligibility criteria: 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.

Primary outcomes:
measure: In-hospital mortality or other adverse outcomes, including readmission, in-hospital infection, respiratory failure, liver failure, and renal failure.
timeFrame: 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.
Secondary outcomes:
Other outcomes:
Locations:
Study officials:
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