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Diagnosis of Pulmonary Embolism with d -Dimer Adjusted to Clinical Probability
Open accessAbstract
BACKGROUND: Retrospective analyses suggest that pulmonary embolism is ruled out by a d-dimer level of less than 1000 ng per milliliter in patients with a low clinical pretest probability (C-PTP) and by a d-dimer level of less than 500 ng per milliliter in patients with a moderate C-PTP. METHODS: We performed a prospective study in which pulmonary embolism was considered to be ruled out without further testing in outpatients with a low C-PTP and a d-dimer level of less than 1000 ng per milliliter or with a moderate C-PTP and a d-dimer level of less than 500 ng per milliliter. All other patients underwent chest imaging (usually computed tomographic pulmonary angiography). If pulmonary embolism was not diagnosed, patients did not receive anticoagulant therapy. All patients were followed for 3 months to detect venous thromboembolism. RESULTS: A total of 2017 patients were enrolled and evaluated, of whom 7.4% had pulmonary embolism on initial diagnostic testing. Of the 1325 patients who had a low C-PTP (1285 patients) or moderate C-PTP (40 patients) and a negative d-dimer test (i.e., <1000 or <500 ng per milliliter, respectively), none had venous thromboembolism during follow-up (95% confidence interval [CI], 0.00 to 0.29%). These included 315 patients who had a low C-PTP and a d-dimer level of 500 to 999 ng per milliliter (95% CI, 0.00 to 1.20%). Of all 1863 patients who did not receive a diagnosis of pulmonary embolism initially and did not receive anticoagulant therapy, 1 patient (0.05%; 95% CI, 0.01 to 0.30) had venous thromboembolism. Our diagnostic strategy resulted in the use of chest imaging in 34.3% of patients, whereas a strategy in which pulmonary embolism is considered to be ruled out with a low C-PTP and a d-dimer level of less than 500 ng per milliliter would result in the use of chest imaging in 51.9% (difference, -17.6 percentage points; 95% CI, -19.2 to -15.9). CONCLUSIONS: A combination of a low C-PTP and a d-dimer level of less than 1000 ng per milliliter identified a group of patients at low risk for pulmonary embolism during follow-up. (Funded by the Canadian Institutes of Health Research and others; PEGeD ClinicalTrials.gov number, NCT02483442.).
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“As the prevalence of amyloid-β pathology is closely linked to age and clinical syndrome18–20, clinical and demographic information can be used to infer the clinical pretest probability of amyloid-β positivity (Aβ+) based on standard clinical assessments17,21,22.”
From Diagnosis of Alzheimer's disease using plasma biomarkers adjusted to clinical probability (2024) · cites this paper as [21]
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Kearon (2012) · doi:10.1378/chest.11-2301 · Cited by 6,119
Self-citationSchulman, S., Angerås, U., Bergqvist, D., ERIKSSON, B., Lassen, M. R., & FISHER, W. (2009) · Journal of Thrombosis and Haemostasis · doi:10.1111/j.1538-7836.2009.03678.x · Cited by 3,761
Self-citationAnderson, D., Rodger, M., Ginsberg, J., Kearon, C., Gent, M., Turpie, A., Bormanis, J., Weitz, J., Chamberlain, M., Bowie, D., et al. (2000) · Thrombosis and Haemostasis · doi:10.1055/s-0037-1613830 · Cited by 1,651
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Stein, P. D., Fowler, S. E., Goodman, L. R., GOTTSCHALK, A. R., Hales, C. A., Hull, R. D., Leeper, K. V., Popovich, J., Quinn, D. A., Sos, T. A., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa052367 · Cited by 1,647
Writing Group for the Christopher Study Investigators* (2006) · JAMA · doi:10.1001/jama.295.2.172 · Cited by 1,141
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Goldhaber, S. Z., & Bounameaux, H. (2012) · The Lancet · doi:10.1016/s0140-6736(11)61904-1 · Cited by 1,079
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Righini, M., van Es, J., den Exter, P. L., Roy, P., Verschuren, F., Ghuysen, A., Rutschmann, O., Sanchez, O., Jaffrelot, M., Trinh-Duc, A., et al. (2014) · JAMA · doi:10.1001/jama.2014.2135 · Cited by 950
Bates, S. M., Jaeschke, R., Stevens, S. M., Goodacre, S. W., Wells, P. S., Stevenson, M. D., Kearon, C., Schünemann, H. J., Crowther, M. A., Pauker, S. G., et al. (2012) · CHEST Journal · doi:10.1378/chest.11-2299 · Cited by 687
Self-citationAnderson, D. R., Kahn, S. R., Rodger, M. A., Kovacs, M. J., Morris, T., Hirsch, A., Lang, E., Stiell, I. G., Kovacs, G. J., Dreyer, J. F., et al. (2007) · JAMA · doi:10.1001/jama.298.23.2743 · Cited by 562
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Khan, F. A., Tritschler, T., Kahn, S. R., & Rodger, M. A. (2021) · The Lancet · doi:10.1016/s0140-6736(20)32658-1 · Cited by 808
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Metadata
- Authors
- Kearon, C., de Wit, K., Parpia, S., Schulman, S., Afilalo, M., Hirsch, A., Spencer, F. A., Sharma, S., D’Aragon, F., Deshaies, J.-F., Le Gal, G., Lazo-Langner, A., Wu, C., Rudd-Scott, L., Bates, S. M., & Julian, J. A.
- Affiliations
- Université de Sherbrooke (CA)
- From the Departments of Medicine (C.K., K.W., S. Schulman, F.A.S., S. Sharma, S.M.B.), Health Research Methods, Evidence, and Impact (C.K., S.P., S. Schulman), and Oncology (S.P., L.R.-S., J.A.J.), McMaster University, Hamilton, ON, the Departments of Emergency Medicine (M.A.) and Medicine (A.H.), McGill University, Montreal, the Departments of Anesthesia (F.D.) and Family and Emergency Medicine (J.-F.D.), Sherbrooke University, Sherbrooke, QC, the Department of Medicine, University of Ottawa,...
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2019-11-28
- Volume
- 381
- Issue
- 22
- Pages
- 2125-2134
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2990973273
- Cited by
- 349
- References
- 45
- Citations by year
- 2026: 39 · 2025: 42 · 2024: 56 · 2023: 50 · 2022: 49 · 2021: 69 · 2020: 43 · 2019: 1
- FWCI
- 31.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes of Health Research (MOP-130249)
- Topics
- Health Sciences › Medicine › Internal Medicine › Venous Thromboembolism Diagnosis and Management
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cardiovascular and Diving-Related Complications
- Health Sciences › Medicine › Hematology › Blood Coagulation and Thrombosis Mechanisms
- Keywords
- pulmonary embolism, D-dimer, clinical probability, venous thromboembolism, diagnostic approach, CT pulmonary angiography, anticoagulation, outpatients, diagnostic cost reduction, diagnostic accuracy, sensitivity and specificity, negative predictive value, positive predictive value
- MeSH terms
- Computed Tomography Angiography, Clinical Decision Rules, Adult, Aged, Female, Fibrin Fibrinogen Degradation Products, Humans, Male, Middle Aged, Predictive Value of Tests, Probability, Prospective Studies, Pulmonary Embolism
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