Literature DB >> 21723271

Risk stratification and clinical outcomes in patients with acute pulmonary embolism.

Chi-Ming Huang1, Yen-Chung Lin2, Yenn-Jiang Lin3, Shih-Lin Chang4, Li-Wei Lo4, Yu-Feng Hu4, Chern-En Chiang4, Kang-Ling Wang4, Shih-Ann Chen4.   

Abstract

OBJECTIVES: Pulmonary embolism is a common disease associated with a high mortality rate. The risk assessment and appropriate treatment selection of patients with acute pulmonary embolism remains a challenge. DESIGN AND METHODS: This single center cohort study included a total of 150 patients (96 male, age = 71 ± 15 years) with acute pulmonary embolism confirmed by spiral-computed tomography or magnetic resonance image. The prognostic performance of the clinical characteristics and laboratory values were investigated to predict the in-hospital hemodynamically instable events and 30-day all-cause mortality.
RESULTS: The rate of in-hospital hemodynamic instability and 30-day all-cause mortality was 21% and 12%, respectively. A multivariate Cox regression analysis demonstrated that a heart rate ≥ 110 bpm (odd ratio 4.26 [95% CI 1.42-12.77]), chronic pulmonary disease (6.47 [1.99-21.04]), WBC ≥ 11,000 mm(3) (3.78 [1.32-10.82]), and D-dimer level ≥ 4.0 μg/mL (3.68 [1.01-13.43]) independently predicted the 30-day fatal outcome. A Kaplan-Meier survival analysis showed that the categorization based on the number of risk factors was significantly associated with the likelihood of 30-day all-cause mortality (P<0.0001).
CONCLUSIONS: The initial presentation of tachycardia, presence of chronic pulmonary disease, elevated WBC and D-dimer on admission can be used to identify the risk for a short-term fatal outcome within 30 days in patients with acute pulmonary embolism.
Copyright © 2011 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21723271     DOI: 10.1016/j.clinbiochem.2011.06.077

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  7 in total

1.  Unsuspected pulmonary embolism: a diagnostic dilemma.

Authors:  Marianna Porzio; Giulia Cernuschi; Valentina Vespro; Giorgio Costantino
Journal:  Intern Emerg Med       Date:  2016-08-05       Impact factor: 3.397

Review 2.  The value of electrocardiography in prognosticating clinical deterioration and mortality in acute pulmonary embolism: A systematic review and meta-analysis.

Authors:  Amro Qaddoura; Geneviève C Digby; Conrad Kabali; Piotr Kukla; Zhong-Qun Zhan; Adrian M Baranchuk
Journal:  Clin Cardiol       Date:  2017-06-19       Impact factor: 2.882

3.  Feature selection and classifier performance on diverse bio- logical datasets.

Authors:  Edward Hemphill; James Lindsay; Chih Lee; Ion I Măndoiu; Craig E Nelson
Journal:  BMC Bioinformatics       Date:  2014-11-13       Impact factor: 3.169

4.  D-dimer testing for safe exclusion and risk stratification in patients with acute pulmonary embolism in primary care.

Authors:  Zhou Yin; Yiyi Chen; Qiong Xie; Zhexin Shao
Journal:  J Res Med Sci       Date:  2015-07       Impact factor: 1.852

Review 5.  Neurological Complications of Pulmonary Embolism: a Literature Review.

Authors:  Parth V Desai; Nicolas Krepostman; Matthew Collins; Sovik De Sirkar; Alexa Hinkleman; Kevin Walsh; Jawed Fareed; Amir Darki
Journal:  Curr Neurol Neurosci Rep       Date:  2021-10-20       Impact factor: 5.081

6.  Leukocytes and systemic inflammatory response syndrome as prognostic factors in pulmonary embolism patients.

Authors:  Jun Yeon Jo; Mi Young Lee; Jin Wook Lee; Byung Hak Rho; Won-Il Choi
Journal:  BMC Pulm Med       Date:  2013-12-10       Impact factor: 3.317

Review 7.  Prognostic models in acute pulmonary embolism: a systematic review and meta-analysis.

Authors:  Antoine Elias; Susan Mallett; Marie Daoud-Elias; Jean-Noël Poggi; Mike Clarke
Journal:  BMJ Open       Date:  2016-04-29       Impact factor: 2.692

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.