Evidence map›Paper›PMID 42054116›Full record

ArticleThe western journal of emergency medicine2026

Accuracy of Emergency Physicians in Grading Diastolic Dysfunction Using Visual Estimation of Waveforms.

Daniel L Puebla, Edward Lopez, Tarang Kheradia, Tony Zitek, Anthony Catapano, Robert A Farrow, David H Kinas

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Article in The western journal of emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Daniel L PueblaMount Sinai Medical Center, Department of Emergency Medicine, Miami Beach, Florida.
Edward LopezMount Sinai Medical Center, Department of Emergency Medicine, Miami Beach, Florida.
Tarang KheradiaMount Sinai Medical Center, Department of Emergency Medicine, Miami Beach, Florida.
Tony ZitekMount Sinai Medical Center, Department of Emergency Medicine, Miami Beach, Florida.
Anthony CatapanoMount Sinai Medical Center, Department of Emergency Medicine, Miami Beach, Florida.
Robert A FarrowMount Sinai Medical Center, Department of Emergency Medicine, Miami Beach, Florida.
David H KinasMount Sinai Medical Center, Department of Emergency Medicine, Miami Beach, Florida.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiastolic dysfunction occurs when the ventricular walls of the heart stiffen and fail to relax appropriately. Early recognition in the emergency department (ED) enables identification of heart failure with preserved ejection fraction, guides antihypertensive and diuretic therapy, and facilitates timely cardiology referral to reduce morbidity and readmissions. Prior studies show emergency physicians (EP) can diagnose diastolic dysfunction with point-of-care ultrasound using mitral valve inflow velocities and tissue Doppler indices, although quantitative measurements are time-consuming. This study evaluates whether EPs can accurately diagnose and grade diastolic dysfunction based solely on visualization of mitral valve inflow velocities and tissue Doppler wave forms.

methodsAfter a focused training session, EPs (postgraduate year 1-3 residents, ultrasound fellows, and attendings) were randomized to review archived echocardiograms obtained by certified technicians. The EPs visually assessed echocardiograms for diastolic dysfunction (grades I-III) and whether they were considered "severe" (grade III). Their interpretations were then compared with a cardiologist's gold-standard readings.

resultsTwenty-three EPs interpreted 100 echocardiograms containing 25 of each grade. Overall accuracy for exact grading was 54.8%. Ultrasound attendings scored highest (70.0%), followed by non-ultrasound fellows (55.0%), attendings (54.0%), and residents (52.9%). For identification of any diastolic dysfunction, the EPs had a sensitivity of 84.6% (95% CI, 78.5-89.5%), specificity of 44.8% (95% CI, 31.7-58.5%), positive likelihood ratio (+LR) 1.53 (95% CI, 1.21-1.95), and negative likelihood ratio (-LR) 0.34 (95% CI, 0.22-0.54). For identification of severe diastolic dysfunction, the EPs' intrepretations had a sensitivity of 59.4% (95% CI, 46.4-71.5%), specificity of 90.3% (95% CI, 85.0-94.3%), +LR 6.15 (95% CI 3.75-10.09), and -LR 0.45 (95% CI, 0.33-0.61).

conclusionEmergency physicians can visually estimate diastolic function using mitral valve inflow velocities and tissue Doppler morphology with good sensitivity for detecting dysfunction and high specificity for identifying severe cases.

Indexed as

Clinical CompetenceEchocardiography, DopplerEmergency MedicineHeart Failure, DiastolicPhysiciansDiastoleEchocardiographyEmergency Service, HospitalHumansMitral ValvePoint-of-Care SystemsSensitivity and Specificity

Identifiers

PMID42054116
PMCPMC13016058

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