Derivation and validation of a prognostic model for pulmonary embolism.
By D. Aujesky, D. Obrosky, R. Stone, T. Auble, A. Perrier, J. Cornuz, P. Roy, Michael J. Fine. American Journal of Respiratory and Critical Care Medicine, 2005
1,211 citations recorded by the source corpus.
Subfields: Cardiology and Cardiovascular Medicine, Epidemiology, Internal Medicine
View Paper: https://www.semanticscholar.org/paper/3ee6b2ff6a4e014606cac2e59dd588485815cdfa
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In Cardiology and Cardiovascular Medicine
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In Internal Medicine
Citations in the corpus
- 2019 ESC Guidelines for the diagnosis and management of acute pulmonary embolism developed in collaboration with the European Respiratory Society (ERS) (2019, methodology): “In patients without haemodynamic instability, use of clinical prediction rules integrating PE severity and comorbidity, preferably the PESI or sPESI, should be considered for risk assessment in the acute phase of PE.(178,226,229) IIa B”
- American Society of Hematology 2020 guidelines for management of venous thromboembolism: treatment of deep vein thrombosis and pulmonary embolism. (2020, background): “Conceptually, the therapeutic management of patients with a new diagnosis of VTE can be divided into 3 phases: (1) initial management, which occurs from the time of diagnosis through the first 3 weeks of therapy; (2) primary treatment, which is a time-limited phase that typically runs for a minimum ”
- Antithrombotic Therapy for VTE Disease: CHEST Guideline and Expert Panel Report. (2012, background): “We do not propose that echocardiography or cardiac biomarkers are measured routinely in all patients with PE, or in all patients with a non–low-risk PESI assessment.(122,127,149) This is because, when measured routinely, the results of these assessments do not have clear therapeutic implications.”
- Guidelines on the Diagnosis and Management of Acute Pulmonary Embolism (2008, methodology): “mental status and low arterial oxygen saturation have also been identified as clinical prognostic markers and used in a clinical model of risk evaluation.(213) In this risk score, 11 clinical variables are used to generate a score that divides patients into five risk classes for 30-day all-cause mor”