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Predictors of hospital mortality in hemodynamically stable patients with pulmonary embolism
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Predictors of hospital mortality in hemodynamically stable patients with pulmonary embolism

André Volschan et al. Denilson Albuquerque Bernardo Rangel Tura Marcos Knibel … José Péricles Esteves Luiz Carlos Bodanese Francisco Silveira João Pantoja Paulo Cesar Pereira da Silva e Souza João Mansur Evandro Tinoco Mesquita

BACKGROUND: Pulmonary embolism is associated with high mortality in patients with hypotension or circulatory shock. However, the association between some clinical variables and mortality is still unclear in hemodynamically stable patients. OBJECTIVES: To derive an in-hospital mortality risk stratification model in hemodynamically stable patients with pulmonary embolism. METHODS: This is a prospective multicenter cohort study of 582 consecutive patients admitted in emergency units or intensive care units with clinically suspected pulmonary embolism and whose diagnosis was confirmed by one or more of the following tests: pulmonary arteriography, spiral CT angiography, magnetic resonance angiography, Doppler echocardiography, pulmonary scintigraphy, or venous duplex scan. Data on demographics, comorbidities and clinical manifestations were collected and included in a logistic regression analysis so as to build the prediction model. RESULTS: Overall mortality was 14.1%. The following parameters were identified as independent death risk variables: age > 65 years, bed rest > 72h, chronic cor pulmonale, sinus tachycardia, and tachypnea. After risk stratification, mortalities of 5.4%, 17.8%, and 31.3% were found in the low, moderate and high-risk subgroups, respectively. The model showed 65.5% sensitivity and 80% specificity, with a 0.77 area under the curve. CONCLUSION: In hemodynamically stable patients with pulmonary embolism, age > 65 years, bed rest > 72h, chronic cor pulmonale, sinus tachycardia and tachypnea were independent predictors of in-hospital mortality. However, further validation of the prediction model in other populations is required so that it can be incorporated into the clinical practice.

  • Hospital Mortality
  • Pulmonary embolism
  • Pulmonary Heart Disease
  • sinus
  • Tachycardia
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Creative Commons Attribution (CC BY) Creative Commons license
13/10/2009 DOI: 10.1590/S0066-782X2009000800011

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Electronic Document Format (Vancouver)

Volschan A, Albuquerque D, Tura BR, Knibel M, Esteves JP, Bodanese LC, Silveira F, et al. Predictors of hospital mortality in hemodynamically stable patients with pulmonary embolism. Arquivos Brasileiros de Cardiologia 2009;93(2):135-40.

Electronic Document Format (ABNT)

Volschan, André; Albuquerque, Denilson; Tura, Bernardo Rangel; Knibel, Marcos; Esteves, José Péricles; Bodanese, Luiz Carlos; Silveira, Francisco; Pantoja, João; Souza, Paulo Cesar Pereira da Silva e; Mansur, João; Mesquita, Evandro Tinoco. Predictors of hospital mortality in hemodynamically stable patients with pulmonary embolism. Arquivos Brasileiros de Cardiologia, v. 93, n. 2, p. 135-140, Oct. 2009.

Electronic Document Format (APA)

Volschan, A., Albuquerque, D., Tura, B. R., Knibel, M., Esteves, J. P., Bodanese, L. C., Silveira, F., Pantoja, J., Souza, P. C. P. S. , Mansur, J., & Mesquita, E. T. (2009). Predictors of hospital mortality in hemodynamically stable patients with pulmonary embolism. Arquivos Brasileiros de Cardiologia, 93(2), 135-140.

Electronic Document Format (ISO)

Volschan, André and Albuquerque, Denilson and Tura, Bernardo Rangel and Knibel, Marcos and Esteves, José Péricles and Bodanese, Luiz Carlos and Silveira, Francisco and Pantoja, João and Souza, Paulo Cesar Pereira da Silva e and Mansur, João and Mesquita, Evandro Tinoco. Predictors of hospital mortality in hemodynamically stable patients with pulmonary embolism. Arquivos Brasileiros de Cardiologia [online]. 2009, vol. 93, n. 2, [cited 2026-10-14], pp. 135-140. Available from: <https://journals.cardiol.br/en/article/predictors-of-hospital-mortality-in-hemodynamically-stable-patients-with-pulmonary-embolism/>. ISSN 0066-782X

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