Evaluating risks and management strategies in heart failure patients

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study focuses on a population of heart failure patients in China to investigate how various cardiovascular disease risk factors, including lifestyle behaviors, biomarkers, and intermediate diseases, affect heart failure prognosis. The study aims to enroll 1,000 participants who will be followed for at least 5 years to assess the impact of these factors on health outcomes such as all-cause mortality and cardiovascular events. Data will be collected through direct contact with participants, medical records, and vital statistics. The study will utilize the Cox proportional hazard model to analyze the risk factors associated with health outcomes in heart failure patients.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* aged 18 and above
* inpatient with one of the following clinical situations:

  * congestive heart failure (pulmonary edema,pulmonary congestion or peripheral edema)
  * cardiogenic shock
  * Insufficient high output cardiac
* with impaired cardiac function diagnosed by echocardiography
* able to provide informed consent

Exclusion Criteria:

* expressed refusal to participate in the baseline investigation or follow-up visits Severe co-morbidity associated with a reduction in life expectancy of less than 12 months

Where it's running

• Ruijin Hospital, Shanghai Jiaotong University School of Medicine
  Shanghai, Shanghai Municipality, China Recruiting

Study contacts

• Principal investigator: Wei Jin, Professor — Ruijin Hospital
• Study coordinator: Zhijun Wu, MD
• Email: totito19822005@126.com
• Phone: 008613818908053

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

• Using Apple Watch data to predict heart failure outcomes

  This study is testing if data from Apple Watches can help predict heart failure problems and the chances of needing to go back to the hospital for patients with heart failure.

  Recruiting University Medical Center Goettingen · Goettigen, Lower Saxony · NCT06819618

• Comparing Aortix Device to Diuretics for Acute Heart Failure

  This study is testing whether the Aortix device can help people with acute heart failure who aren't responding to diuretics feel better compared to standard treatment.

  Recruiting at 33 sites Procyrion · Phoenix, Arizona and 49 other locations · NCT05677100

• Myocardial Energetics Across Cardiovascular Disease Spectrum Using 31P-MRS

  Researchers are testing whether phosphorus-31 magnetic resonance spectroscopy (31P-MRS) can map heart energy metabolism across healthy people and patients with various heart conditions.

  Recruiting Chinese Academy of Medical Sciences, Fuwai Hospital · Beijing · NCT07912086

• Tailored digital support to cut sedentary time in long-term cardiac rehab

  In adults in a long-term cardiac rehabilitation program, this study tests whether a personalized behavioural program with digital tools can reduce daily sitting time.

  Recruiting University of Lisbon · Lisbon, Lisbon District · NCT07910812

• NT-proBNP–guided heart failure screening for people 65+ in rural China

  This study tests whether using NT-proBNP blood tests to guide heart failure screening in adults 65 and older in rural China can find unrecognized heart problems more effectively than symptom-based screening.

  Recruiting Jiangsu Taizhou People's Hospital · Nanjing · NCT07885488

• Voice-based detection of heart failure deterioration using Noah Labs Vox

  This study tests whether a voice-analysis app can flag worsening heart failure in adults by comparing its alerts to standard weight-based monitoring.

  Recruiting Noah Labs · Boston, Massachusetts · NCT07870395

How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.