Comparing 'clinical hunch' against clinical decision support systems (PERC rule, wells score, revised Geneva score and YEARS criteria) in the diagnosis of acute pulmonary embolism.
CTPA
Clinical decision support systems
Diagnostics
PERC rule
Pulmonary embolism
Revised Geneva score
Wells score
YEARS criteria
Journal
BMC pulmonary medicine
ISSN: 1471-2466
Titre abrégé: BMC Pulm Med
Pays: England
ID NLM: 100968563
Informations de publication
Date de publication:
21 Nov 2022
21 Nov 2022
Historique:
received:
18
05
2022
accepted:
10
11
2022
entrez:
22
11
2022
pubmed:
23
11
2022
medline:
25
11
2022
Statut:
epublish
Résumé
Pulmonary embolism (PE) is a common and potentially life-threatening condition. Since it is considered a 'do not miss' diagnosis, PE tends to be over-investigated beyond the evidence-based clinical decision support systems (CDSS), which in turn subjects patients to unnecessary radiation and contrast agent exposure with no apparent benefits in terms of outcome. The purpose of this study was to evaluate the yield of 'clinical hunch' (gestalt) and four CDSS: the PERC Rule, Wells score, revised Geneva score, and Years criteria. A review was conducted on the Electronic Medical Records (EMR) of 1566 patients from the Emergency Department at a tertiary teaching hospital who underwent CTPA from the 1st of January 2018 to the 31st of December 2019. The scores for the four CDSS were calculated retrospectively from the EMR data. We considered that a CTPA had been ordered on a clinical hunch when there was no mention of CDSS in the EMR, and no D-dimer test. A bypass of CDSS was confirmed when any step of the diagnostic algorithms was not followed. Of the total 1566 patients who underwent CTPA, 265 (17%) were positive for PE. The diagnosis yield from the five decision groups (clinical hunch and four CDSS) was as follows-clinical hunch, 15%; PERC rule, 18% (6% when bypassed); Wells score, 19% (11% when bypassed); revised Geneva score, 26% (13% when bypassed); and YEARS criteria, 18% (6% when bypassed). Clinicians should trust the evidence-based clinical decision support systems in line with the international guidelines to diagnose PE.
Sections du résumé
BACKGROUND
BACKGROUND
Pulmonary embolism (PE) is a common and potentially life-threatening condition. Since it is considered a 'do not miss' diagnosis, PE tends to be over-investigated beyond the evidence-based clinical decision support systems (CDSS), which in turn subjects patients to unnecessary radiation and contrast agent exposure with no apparent benefits in terms of outcome. The purpose of this study was to evaluate the yield of 'clinical hunch' (gestalt) and four CDSS: the PERC Rule, Wells score, revised Geneva score, and Years criteria.
METHODS
METHODS
A review was conducted on the Electronic Medical Records (EMR) of 1566 patients from the Emergency Department at a tertiary teaching hospital who underwent CTPA from the 1st of January 2018 to the 31st of December 2019. The scores for the four CDSS were calculated retrospectively from the EMR data. We considered that a CTPA had been ordered on a clinical hunch when there was no mention of CDSS in the EMR, and no D-dimer test. A bypass of CDSS was confirmed when any step of the diagnostic algorithms was not followed.
RESULTS
RESULTS
Of the total 1566 patients who underwent CTPA, 265 (17%) were positive for PE. The diagnosis yield from the five decision groups (clinical hunch and four CDSS) was as follows-clinical hunch, 15%; PERC rule, 18% (6% when bypassed); Wells score, 19% (11% when bypassed); revised Geneva score, 26% (13% when bypassed); and YEARS criteria, 18% (6% when bypassed).
CONCLUSION
CONCLUSIONS
Clinicians should trust the evidence-based clinical decision support systems in line with the international guidelines to diagnose PE.
Identifiants
pubmed: 36414971
doi: 10.1186/s12890-022-02242-1
pii: 10.1186/s12890-022-02242-1
pmc: PMC9682736
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
432Informations de copyright
© 2022. The Author(s).
Références
Radiology. 2017 Mar;282(3):717-725
pubmed: 27689922
Am J Med. 2013 Aug;126(8):687-92
pubmed: 23786668
Eur Heart J. 2020 Jan 21;41(4):543-603
pubmed: 31504429
Am J Med. 2017 Mar;130(3):247-248
pubmed: 27908793
Emerg Radiol. 2019 Feb;26(1):29-35
pubmed: 30238172
Ann Emerg Med. 2004 Nov;44(5):503-10
pubmed: 15520710
BMC Pulm Med. 2013 Feb 07;13:9
pubmed: 23388541
Acad Emerg Med. 2018 Sep;25(9):987-994
pubmed: 29603819
J Thromb Haemost. 2008 May;6(5):772-80
pubmed: 18318689
Blood. 2013 Aug 15;122(7):1144-9; quiz 1329
pubmed: 23736701
Arch Intern Med. 2011 May 9;171(9):831-7
pubmed: 21555660
Thromb Res. 2018 Oct;170:181-191
pubmed: 30199784
Lancet. 2017 Jul 15;390(10091):289-297
pubmed: 28549662
Clin Appl Thromb Hemost. 2012 Jan-Feb;18(1):20-6
pubmed: 21949040
Ann Emerg Med. 2013 Aug;62(2):117-124.e2
pubmed: 23433653
Ann Intern Med. 2001 Jul 17;135(2):98-107
pubmed: 11453709
Clin Radiol. 2008 Apr;63(4):381-6
pubmed: 18325357
Korean Circ J. 2018 May;48(5):365-381
pubmed: 29737640
JAMA. 2007 Dec 19;298(23):2788-9
pubmed: 18165674
N Engl J Med. 2007 Nov 29;357(22):2277-84
pubmed: 18046031
J Am Coll Radiol. 2019 Aug;16(8):1064-1072
pubmed: 31047834
J Thromb Haemost. 2010 Aug;8(8):1716-22
pubmed: 20546118
Ann Intern Med. 2006 Feb 7;144(3):165-71
pubmed: 16461960
J Am Coll Radiol. 2006 Oct;3(10):799-806
pubmed: 17412171
J Am Coll Radiol. 2011 Apr;8(4):251-8
pubmed: 21458763
Thromb Haemost. 2007 Oct;98(4):756-64
pubmed: 17938798
J Thromb Haemost. 2004 Aug;2(8):1247-55
pubmed: 15304025
Semin Intervent Radiol. 2018 Jun;35(2):92-98
pubmed: 29872243