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Updated: May 2, 2026

Echocardiographic Assessment Using Subxiphoid-Only Examination for Hypotensive Patients
Published on: April 18, 2025
Pretest probability of a normal echocardiography: validation of a simple and practical algorithm for routine use
Nadjib Hammoudi1, Matthieu Duprey2, Philippe Régnier2
1Department of Cardiology, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France; Faculté de Médecine Pierre et Marie Curie, university Paris 6, Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.
Background:
Management of increased referrals for transthoracic echocardiography (TTE) examinations is a challenge. Patients with normal TTE examinations take less time to explore than those with heart abnormalities. A reliable method for assessing pretest probability of a normal TTE may optimize management of requests.
Aim:
To establish and validate, based on requests for examinations, a simple algorithm for defining pretest probability of a normal TTE.
Methods:
In a retrospective phase, factors associated with normality were investigated and an algorithm was designed. In a prospective phase, patients were classified in accordance with the algorithm as being at high or low probability of having a normal TTE.
Results:
In the retrospective phase, 42% of 618 examinations were normal. In multivariable analysis, age and absence of cardiac history were associated to normality. Low pretest probability of normal TTE was defined by known cardiac history or, in case of doubt about cardiac history, by age>70 years. In the prospective phase, the prevalences of normality were 72% and 25% in high (n=167) and low (n=241) pretest probability of normality groups, respectively. The mean duration of normal examinations was significantly shorter than abnormal examinations (13.8 ± 9.2 min vs 17.6 ± 11.1 min; P=0.0003).
Conclusion:
A simple algorithm can classify patients referred for TTE as being at high or low pretest probability of having a normal examination. This algorithm might help to optimize management of requests in routine practice.
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