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Impact of Validated Diagnostic Prediction Model of Acute Heart Failure in the Emergency Department

U

Unity Health Toronto

Status

Completed

Conditions

Dyspnea
Shortness of Breath
Acute Heart Failure

Treatments

Other: Treatment as per model probability
Other: Treatment as per usual care

Study type

Interventional

Funder types

Other
Industry

Identifiers

Details and patient eligibility

About

The purpose of this study is to evaluate a validated diagnostic prediction model in the appropriate diagnosis of Acute Heart Failure (AHF) in patients presenting at the emergency department with undifferentiated dyspnea.

Enrollment

186 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Age ≥ 18 years
  • Presentation to the ED with undifferentiated shortness of breath

Exclusion criteria

  • Dyspnea of obvious cause, e.g. chest trauma, obvious clinical exacerbation of known chronic obstructive disease
  • Obvious pulmonary edema in a patient with a known diagnosis of HF and recently admitted to hospital for HF
  • Clinician does not plan to treat for AHF at all, but rather to pursue other causes of dyspnea (i.e., probability of AHF ≤ 20%)
  • Clinician plans to treat for AHF and not to pursue other causes of dyspnea (i.e., probability of AHF ≥ 80%)
  • Acute coronary syndrome within one month
  • Chronic renal failure (serum creatinine ≥ 250 mol/l)
  • Anticipated life expectancy < 6 months due to non-cardiovascular causes
  • Participation in another interventional outcome trial
  • Inability to obtain informed consent, including inability of patient to understand English

Trial design

Primary purpose

Diagnostic

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

186 participants in 2 patient groups

Clinician exposed to Model result
Active Comparator group
Treatment:
Other: Treatment as per model probability
Clinician blinded to Model result
Experimental group
Treatment:
Other: Treatment as per usual care

Trial contacts and locations

3

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Data sourced from clinicaltrials.gov

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