Pulmonary vascular disease & thromboembolism

Novel automated electronic medical record-based virtual echocardiography screening tool (VEST) (virtual echocardiography screening tool) algorithm for pulmonary arterial hypertension

Am Heart JPublished retrospective analysis

Authors' conclusion

This novel EMR-based automated VEST calculator is a powerful yet simple scoring tool that can capture patients at high risk for PAH, prompting earlier diagnosis and referrals to accredited PH centers to allow for earlier expert care and implementation of medical therapies.

Study context

Population
Patients who underwent transthoracic echocardiogram (TTE) with tricuspid regurgitation velocity (TRV) ≥2.9 m/s in a hospital with an accredited pulmonary hypertension (PH) Center of Comprehensive Carepatients who underwent TTE with TRV ≥2.9 m/s
Participants
4,952 patients
Exposure
Electronic medical record (EMR)-calculated VEST scores compared to manually calculated VEST scores
  • +3 scoren = 354
  • Never referred for specialty PH caren = 104
  • Referred to subspecialty PH caren = 250
Outcome
Validation of automated EMR VEST scores against manual scores

Main finding

As reported in the abstract

Correlation to 60 manual scores

100%

Observational data: associations, not effects.

Further findings

OutcomeNever referred for specialty PH careReferred to subspecialty PH care
Referral and RHC among +3 score patients29.4%
Underwent RHC (of these 104)37.5%— not stated in the abstract
Underwent RHC (of these 250)— not stated in the abstract237 (94.8%)

— not stated in the abstract

Hemodynamics in +3 score patients who underwent right heart catheterization (RHC)

Mean pulmonary artery pressure
48 mm Hg
Pulmonary vascular resistance
8.5 Wood units
  • Of 354 patients with +3 score, those that underwent RHC

Original publication

Novel automated electronic medical record-based VEST (virtual echocardiography screening tool) algorithm for pulmonary arterial hypertension. Am Heart J. Published 5 April 2025. doi:10.1016/j.ahj.2025.03.020

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.