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The application of clinical variables and models to predict pulmonary embolism in cancer patients: a comprehensive single cancer center experience

INTRODUCTION: Prompt diagnosis and treatment of pulmonary embolism (PE) can help reduce its associated morbidity and mortality. Computed tomography chest angiography (CTA) scanning is the most widely used diagnostic modality. In noncancer patients, only 10% of such studies are positive for PE. Clini...

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Autores principales: Mansour, Asem, Ismael, Yousef, Abunasser, Mahmoud, Hammode, Emad, Turfa, Rim, Abdel-Razeq, Hikmat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3810495/
https://www.ncbi.nlm.nih.gov/pubmed/24187488
http://dx.doi.org/10.2147/PPA.S46372
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author Mansour, Asem
Ismael, Yousef
Abunasser, Mahmoud
Hammode, Emad
Turfa, Rim
Abdel-Razeq, Hikmat
author_facet Mansour, Asem
Ismael, Yousef
Abunasser, Mahmoud
Hammode, Emad
Turfa, Rim
Abdel-Razeq, Hikmat
author_sort Mansour, Asem
collection PubMed
description INTRODUCTION: Prompt diagnosis and treatment of pulmonary embolism (PE) can help reduce its associated morbidity and mortality. Computed tomography chest angiography (CTA) scanning is the most widely used diagnostic modality. In noncancer patients, only 10% of such studies are positive for PE. Clinical variables, individual or in combination, that can predict test positivity are highly needed. MATERIALS AND METHODS: All CTAs requested to confirm or exclude a diagnosis of PE in a single comprehensive cancer center were reviewed. In addition to the Wells score, other clinical variables known to increase the risk of PE were analyzed. RESULTS: A total of 778 adult cancer patients were treated at King Hussein Cancer Center (Amman, Jordan) and were included in this study; the majority of patients (64.2%) had stage 4 disease. Overall, 129 (16.6%) patients had positive scans for PE, while alternative diagnoses were made in 308 (39.6%) patients. Cancer stage and anticancer treatment had no impact on positive PE rates. However, Wells criteria classified patients into three risk groups with PE rates of 10.2%, 16.1%, and 62.5% among the patients with low, moderate, and high risk, respectively (P < 0.0001). Duration of cancer diagnosis (<12 months versus >12 months) had a significant impact on positive PE studies (22.0% versus 12.4%, respectively, P = 0.007). CONCLUSION: The rate of positive PE studies in cancer patients is higher than previously reported in noncancer patients. Positivity for PE was higher during the first 12 months of cancer diagnosis and in those with high probability score according to the Wells criteria. Factors like primary tumor stage and anticancer therapy had no significant impact on PE-positive studies.
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spelling pubmed-38104952013-11-01 The application of clinical variables and models to predict pulmonary embolism in cancer patients: a comprehensive single cancer center experience Mansour, Asem Ismael, Yousef Abunasser, Mahmoud Hammode, Emad Turfa, Rim Abdel-Razeq, Hikmat Patient Prefer Adherence Original Research INTRODUCTION: Prompt diagnosis and treatment of pulmonary embolism (PE) can help reduce its associated morbidity and mortality. Computed tomography chest angiography (CTA) scanning is the most widely used diagnostic modality. In noncancer patients, only 10% of such studies are positive for PE. Clinical variables, individual or in combination, that can predict test positivity are highly needed. MATERIALS AND METHODS: All CTAs requested to confirm or exclude a diagnosis of PE in a single comprehensive cancer center were reviewed. In addition to the Wells score, other clinical variables known to increase the risk of PE were analyzed. RESULTS: A total of 778 adult cancer patients were treated at King Hussein Cancer Center (Amman, Jordan) and were included in this study; the majority of patients (64.2%) had stage 4 disease. Overall, 129 (16.6%) patients had positive scans for PE, while alternative diagnoses were made in 308 (39.6%) patients. Cancer stage and anticancer treatment had no impact on positive PE rates. However, Wells criteria classified patients into three risk groups with PE rates of 10.2%, 16.1%, and 62.5% among the patients with low, moderate, and high risk, respectively (P < 0.0001). Duration of cancer diagnosis (<12 months versus >12 months) had a significant impact on positive PE studies (22.0% versus 12.4%, respectively, P = 0.007). CONCLUSION: The rate of positive PE studies in cancer patients is higher than previously reported in noncancer patients. Positivity for PE was higher during the first 12 months of cancer diagnosis and in those with high probability score according to the Wells criteria. Factors like primary tumor stage and anticancer therapy had no significant impact on PE-positive studies. Dove Medical Press 2013-10-23 /pmc/articles/PMC3810495/ /pubmed/24187488 http://dx.doi.org/10.2147/PPA.S46372 Text en © 2013 Mansour et al, publisher and licensee Dove Medical Press Ltd This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.
spellingShingle Original Research
Mansour, Asem
Ismael, Yousef
Abunasser, Mahmoud
Hammode, Emad
Turfa, Rim
Abdel-Razeq, Hikmat
The application of clinical variables and models to predict pulmonary embolism in cancer patients: a comprehensive single cancer center experience
title The application of clinical variables and models to predict pulmonary embolism in cancer patients: a comprehensive single cancer center experience
title_full The application of clinical variables and models to predict pulmonary embolism in cancer patients: a comprehensive single cancer center experience
title_fullStr The application of clinical variables and models to predict pulmonary embolism in cancer patients: a comprehensive single cancer center experience
title_full_unstemmed The application of clinical variables and models to predict pulmonary embolism in cancer patients: a comprehensive single cancer center experience
title_short The application of clinical variables and models to predict pulmonary embolism in cancer patients: a comprehensive single cancer center experience
title_sort application of clinical variables and models to predict pulmonary embolism in cancer patients: a comprehensive single cancer center experience
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3810495/
https://www.ncbi.nlm.nih.gov/pubmed/24187488
http://dx.doi.org/10.2147/PPA.S46372
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