Your browser doesn't support javascript.
loading
Validation of the 2019 European Society of Cardiology Risk Stratification Algorithm for Pulmonary Embolism in Normotensive Elderly Patients.
Moor, Jeanne; Baumgartner, Christine; Méan, Marie; Stalder, Odile; Limacher, Andreas; Rodondi, Nicolas; Aujesky, Drahomir.
Afiliación
  • Moor J; Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Baumgartner C; Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Méan M; Division of General Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland.
  • Stalder O; CTU Bern, University of Bern, Bern, Switzerland.
  • Limacher A; CTU Bern, University of Bern, Bern, Switzerland.
  • Rodondi N; Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Aujesky D; Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.
Thromb Haemost ; 121(12): 1660-1667, 2021 12.
Article en En | MEDLINE | ID: mdl-33823559
ABSTRACT

BACKGROUND:

The 2019 European Society of Cardiology (ESC) guidelines recommend evaluation for right ventricular dysfunction in all normotensive patients with acute pulmonary embolism (PE). We compared the predictive performance of the 2019 and 2014 ESC risk stratification algorithms and the Pulmonary Embolism Severity Index (PESI).

METHODS:

We performed a posthoc analysis of normotensive patients aged ≥ 65 years with acute PE from a prospective cohort. The primary outcome was overall mortality; secondary outcomes were PE-related mortality and adverse outcomes (PE-related death, cardiopulmonary resuscitation, intubation, catecholamine use, recurrent venous thromboembolism) at 30 days. We assessed outcomes in intermediate-high, intermediate-low, and low-risk groups according to the 2019 and 2014 ESC algorithms and the PESI. Discriminative power was compared using the area under the receiver operating characteristic curve (AUC).

RESULTS:

Among 419 patients, 14 (3.3%) died (7 from PE) and 16 (3.8%) had adverse outcomes within 30 days. The 2019 ESC algorithm classified more patients as intermediate-high risk (45%) than the 2014 ESC algorithm (24%) or the PESI (37%), and only 19% as low risk (32% with 2014 ESC or the PESI). Discriminatory power for overall mortality was lower with the 2019 ESC algorithm (AUC 63.6%), compared with the 2014 ESC algorithm (AUC 71.5%) or the PESI (AUC 75.2%), although the difference did not reach statistical significance (p = 0.063). Discrimination for PE-related mortality and adverse outcomes was similar.

CONCLUSION:

While categorizing more patients in higher risk groups, the 2019 ESC algorithm for PE did not improve prediction of short-term outcomes compared with the 2014 ESC algorithm or the PESI.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Embolia Pulmonar / Algoritmos / Técnicas de Apoyo para la Decisión / Tromboembolia Venosa Tipo de estudio: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: Thromb Haemost Año: 2021 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Embolia Pulmonar / Algoritmos / Técnicas de Apoyo para la Decisión / Tromboembolia Venosa Tipo de estudio: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: Thromb Haemost Año: 2021 Tipo del documento: Article País de afiliación: Suiza