Literature DB >> 29372399

Does my patient have a pulmonary embolism? The Wells vs. PISA 2 rule in orthopedic patients.

Linda A Russell1, Alana E Sigmund2, Jackie Szymonifka2, Shari T Jawetz2, Sarah E Grond2, Shirin A Dey2, Anne R Bass2.   

Abstract

The diagnosis of venous thromboembolism is difficult in the postoperative setting because signs such as hypoxemia, leg pain, and swelling are so common. CTPA can also detect subsegmental PE (SSPE), of which the clinical significance has been widely debated. Clinical decision rules (CDR), such as the Wells and PISA 2, have been developed to identify symptomatic patients at low risk for PE who could forgo imaging. We performed this study in order to (1) compare the performance of the Wells and PISA 2 CDR in orthopedic patients; (2) compare CDR scores in patients with subsegmental PE (SSPE) versus larger clots; and (3) identify variables that improve performance of the Wells in orthopedic patients. This retrospective cohort study included all orthopedic surgery patients that underwent computerized tomographic pulmonary angiography at a single institution from 1/1/13 to 12/31/14 and had data to calculate both Wells and PISA 2 scores. CDR sensitivity, specificity and c-statistics were calculated. Multivariable logistic regression was used to identify variables that improved CDR performance. 402 patients were included in the study. The Wells rule (cutoff > 4) had sensitivity 74% and specificity 45%. PISA 2 (cutoff 0.6) had sensitivity 90% and specificity 11%. The Wells performed better than PISA 2: c-statistic 0.60 vs. 0.50; p = 0.007. The mean Wells score was 5.20 ± 1.68 for patients with SSPE and 5.41 ± 1.86 for patients with larger clots. Adding the variables prior smoking and varicose veins improved the performance of the Wells rule (c-statistic 0.66 vs. 0.60, p = 0.008). The Wells rule (cutoff > 4) performs better than PISA 2 in orthopedic patients. Neither can distinguish patients with SSPE from those with larger clots. Although adding past smoking and varicose veins to the Wells improves its performance, this requires validation in other populations.

Entities:  

Keywords:  Arthroplasty; Clinical decision support; Orthopedic; Pulmonary embolism; Wells rule

Mesh:

Year:  2018        PMID: 29372399     DOI: 10.1007/s11239-018-1618-1

Source DB:  PubMed          Journal:  J Thromb Thrombolysis        ISSN: 0929-5305            Impact factor:   2.300


  21 in total

1.  Diagnosis and management of subsegmental pulmonary embolism.

Authors:  G Le Gal; M Righini; F Parent; M van Strijen; F Couturaud
Journal:  J Thromb Haemost       Date:  2006-04       Impact factor: 5.824

2.  Kinetics of D-dimer after general surgery.

Authors:  Daniel Dindo; Stefan Breitenstein; Dieter Hahnloser; Burkhardt Seifert; Sidika Yakarisik; Lars M Asmis; Markus K Muller; Pierre-Alain Clavien
Journal:  Blood Coagul Fibrinolysis       Date:  2009-07       Impact factor: 1.276

3.  Simple and accurate prediction of the clinical probability of pulmonary embolism.

Authors:  Massimo Miniati; Matteo Bottai; Simonetta Monti; Marco Salvadori; Luca Serasini; Mirko Passera
Journal:  Am J Respir Crit Care Med       Date:  2008-04-24       Impact factor: 21.405

Review 4.  Management of suspected acute pulmonary embolism in the era of CT angiography: a statement from the Fleischner Society.

Authors:  Martine Remy-Jardin; Massimo Pistolesi; Lawrence R Goodman; Warren B Gefter; Alexander Gottschalk; John R Mayo; H Dirk Sostman
Journal:  Radiology       Date:  2007-09-11       Impact factor: 11.105

5.  Simplified diagnostic management of suspected pulmonary embolism (the YEARS study): a prospective, multicentre, cohort study.

Authors:  Tom van der Hulle; Whitney Y Cheung; Stephanie Kooij; Ludo F M Beenen; Thomas van Bemmel; Josien van Es; Laura M Faber; Germa M Hazelaar; Christian Heringhaus; Herman Hofstee; Marcel M C Hovens; Karin A H Kaasjager; Rick C J van Klink; Marieke J H A Kruip; Rinske F Loeffen; Albert T A Mairuhu; Saskia Middeldorp; Mathilde Nijkeuter; Liselotte M van der Pol; Suzanne Schol-Gelok; Marije Ten Wolde; Frederikus A Klok; Menno V Huisman
Journal:  Lancet       Date:  2017-05-23       Impact factor: 79.321

6.  D-dimer as a predictor of venous thromboembolism in acutely ill, hospitalized patients: a subanalysis of the randomized controlled MAGELLAN trial.

Authors:  A T Cohen; T E Spiro; A C Spyropoulos; Y H Desanctis; M Homering; H R Büller; L Haskell; D Hu; R Hull; A Mebazaa; G Merli; S Schellong; V F Tapson; P Burton
Journal:  J Thromb Haemost       Date:  2014-04       Impact factor: 5.824

7.  End Tidal Carbon Dioxide as a Screening Tool for Computed Tomography Angiogram in Postoperative Orthopaedic Patients Suspected of Pulmonary Embolism.

Authors:  Austin J Ramme; Eduardo Iturrate; Ezra Dweck; David J Steiger; Lorraine H Hutzler; Yixin Fang; Binhuan Wang; Joseph A Bosco; Alana E Sigmund
Journal:  J Arthroplasty       Date:  2016-03-25       Impact factor: 4.757

8.  Evaluation of the utility of the Wells score in predicting pulmonary embolism in patients admitted to a spine surgery service.

Authors:  Joanne H Wang; Melissa A Christino; Nikhil A Thakur; Mark A Palumbo; Alan H Daniels
Journal:  Hosp Pract (1995)       Date:  2013-02

9.  Estimating risk of cancer associated with radiation exposure from 64-slice computed tomography coronary angiography.

Authors:  Andrew J Einstein; Milena J Henzlova; Sanjay Rajagopalan
Journal:  JAMA       Date:  2007-07-18       Impact factor: 56.272

10.  D-dimer testing cannot rule out thromboembolism after major lower extremity arthroplasties and thromboprophylaxis treatment.

Authors:  Etsuko Sugimoto; Takayuki Kuroda; Yoshihisa Fujita; Yoshifumi Namba; Shigeru Mitani
Journal:  J Anesth       Date:  2015-05-09       Impact factor: 2.078

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