Plain-English translation of NCT06414928 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Doctors have several tools to predict how heart failure patients will do in the hospital and after they leave — but nobody knows which tool works best. This study will collect information from 1,000 patients with acute heart failure and track them for 30 days to see which of the four prediction tools most accurately forecasts their outcomes.
When you come to the emergency room with heart failure, doctors need to quickly figure out who is at highest risk of dying or getting much sicker. Different hospitals use different scoring systems to make these predictions, but there's no clear evidence about which one is most reliable — this research aims to find out.
A doctor will interview you and ask detailed questions about your health history, symptoms, and risk factors — this usually takes 30 minutes to an hour. You'll have your vital signs checked and basic lab work done as part of your normal emergency care. Then, 30 days later, a staff member will call you or ask you to come back to the clinic to confirm how you're doing. Your medical records will be reviewed to check for accuracy.
AI-generated summary from trial data · Jun 14, 2026 · Not medical advice
Pakistan
Enrollment target
~1,000 participants
Started
February 2024
Primary completion
February 2026
Age range
18 Years and older
Last updated on clinicaltrials.gov in May 2024.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Madiha Fatima, MBBS, FCPS
National Institute of Cardiovascular Diseases