Literature DB >> 28439386

Usefulness of Clinical Prediction Rules, D-dimer, and Arterial Blood Gas Analysis to Predict Pulmonary Embolism in Cancer Patients.

Asifa Karamat1, Shazia Awan1, Muhammad Ghazanfar Hussain1, Fahad Al Hameed2, Faheem Butt1, Ali Saeed Wahla3.   

Abstract

OBJECTIVES: Pulmonary embolism (PE) is seven times more common in cancer patients than non-cancer patients. Since the existing clinical prediction rules (CPRs) were validated predominantly in a non-cancer population, we decided to look at the utility of arterial blood gas (ABG) analysis and D-dimer in predicting PE in cancer patients.
METHODS: Electronic medical records were reviewed between December 2005 and November 2010. A total of 177 computed tomography pulmonary angiograms (CTPAs) were performed. We selected 104 individuals based on completeness of laboratory and clinical data. Patients were divided into two groups, CTPA positive (patients with PE) and CTPA negative (PE excluded). Wells score, Geneva score, and modified Geneva score were calculated for each patient. Primary outcomes of interest were the sensitivities, specificities, positive, and negative predictive values for all three CPRs.
RESULTS: Of the total of 104 individuals who had CTPAs, 33 (31.7%) were positive for PE and 71 (68.3%) were negative. There was no difference in basic demographics between the two groups. Laboratory parameters were compared and partial pressure of oxygen was significantly lower in patients with PE (68.1 mmHg vs. 71 mmHg, p = 0.030). Clinical prediction rules showed good sensitivities (88-100%) and negative predictive values (93-100%). An alveolar-arterial (A-a) gradient > 20 had 100% sensitivity and negative predictive values.
CONCLUSIONS: CPRs and a low A-a gradient were useful in excluding PE in cancer patients. There is a need for prospective trials to validate these results.

Entities:  

Keywords:  Neoplasms; Pulmonary Embolism

Year:  2017        PMID: 28439386      PMCID: PMC5397075          DOI: 10.5001/omj.2017.26

Source DB:  PubMed          Journal:  Oman Med J        ISSN: 1999-768X


  27 in total

1.  Clinical experience and pre-test probability scores in the diagnosis of pulmonary embolism.

Authors:  S Iles; A M Hodges; J R Darley; C Frampton; M Epton; L E L Beckert; G I Town
Journal:  QJM       Date:  2003-03

2.  Performance of four clinical decision rules in patients with malignancy and suspected pulmonary embolism.

Authors:  J Van ES; R A Douma; I C M Mos; M V Huisman; P W Kamphuisen
Journal:  J Thromb Haemost       Date:  2012-02       Impact factor: 5.824

3.  Accuracy of clinical decision rule, D-dimer and spiral computed tomography in patients with malignancy, previous venous thromboembolism, COPD or heart failure and in older patients with suspected pulmonary embolism.

Authors:  M Sohne; M J H A Kruip; M Nijkeuter; L Tick; H Kwakkel; S J M Halkes; M V Huisman; H R Buller
Journal:  J Thromb Haemost       Date:  2006-05       Impact factor: 5.824

4.  Diagnostic value of arterial blood gas measurement in suspected pulmonary embolism.

Authors:  M A Rodger; M Carrier; G N Jones; P Rasuli; F Raymond; H Djunaedi; P S Wells
Journal:  Am J Respir Crit Care Med       Date:  2000-12       Impact factor: 21.405

5.  Effectiveness of managing suspected pulmonary embolism using an algorithm combining clinical probability, D-dimer testing, and computed tomography.

Authors:  Arne van Belle; Harry R Büller; Menno V Huisman; Peter M Huisman; Karin Kaasjager; Pieter W Kamphuisen; Mark H H Kramer; Marieke J H A Kruip; Johanna M Kwakkel-van Erp; Frank W G Leebeek; Mathilde Nijkeuter; Martin H Prins; Maaike Sohne; Lidwine W Tick
Journal:  JAMA       Date:  2006-01-11       Impact factor: 56.272

6.  Clinical decision rule and D-dimer have lower clinical utility to exclude pulmonary embolism in cancer patients. Explanations and potential ameliorations.

Authors:  Renée A Douma; Geerte L van Sluis; Pieter W Kamphuisen; Maaike Söhne; Frank W G Leebeek; Patrick M M Bossuyt; Harry R Büller
Journal:  Thromb Haemost       Date:  2010-07-20       Impact factor: 5.249

7.  Antithrombotic therapy for venous thromboembolic disease: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines (8th Edition).

Authors:  Clive Kearon; Susan R Kahn; Giancarlo Agnelli; Samuel Goldhaber; Gary E Raskob; Anthony J Comerota
Journal:  Chest       Date:  2008-06       Impact factor: 9.410

8.  Development and validation of a predictive model for chemotherapy-associated thrombosis.

Authors:  Alok A Khorana; Nicole M Kuderer; Eva Culakova; Gary H Lyman; Charles W Francis
Journal:  Blood       Date:  2008-01-23       Impact factor: 22.113

Review 9.  Risk factors for venous thromboembolism.

Authors:  Frederick A Anderson; Frederick A Spencer
Journal:  Circulation       Date:  2003-06-17       Impact factor: 29.690

10.  The clinical usefulness of D-dimer testing in cancer patients with suspected deep venous thrombosis.

Authors:  Marije ten Wolde; Roderik A Kraaijenhagen; Martin H Prins; Harry R Büller
Journal:  Arch Intern Med       Date:  2002-09-09
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  1 in total

1.  D-dimer value in the diagnosis of pulmonary embolism-may it exclude only?

Authors:  Magdalena Sikora-Skrabaka; Damian Skrabaka; Paolo Ruggeri; Gaetano Caramori; Szymon Skoczyński; Adam Barczyk
Journal:  J Thorac Dis       Date:  2019-03       Impact factor: 2.895

  1 in total

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