Rapid and accurate Bayesian diagnosis of heparin-induced thrombocytopenia.

Details

Serval ID
serval:BIB_CE8DE63CF44F
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Rapid and accurate Bayesian diagnosis of heparin-induced thrombocytopenia.
Journal
Blood
Author(s)
Marchetti M., Barelli S., Zermatten M.G., Monnin-Respen F., Matthey-Guirao E., Nicolas N., Gomez F., Goodyer M., Gerschheimer C., Alberio L.
ISSN
1528-0020 (Electronic)
ISSN-L
0006-4971
Publication state
Published
Issued date
02/04/2020
Peer-reviewed
Oui
Volume
135
Number
14
Pages
1171-1184
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
Prompt diagnostic evaluation of suspected heparin-induced thrombocytopenia (HIT) is critical for guiding initial patient management. We assessed the performance of 3 immunoassays detecting anti-platelet factor 4 (PF4)/heparin antibodies, derived a diagnostic algorithm with a short analytical turnaround time (TAT), and prospectively validated the algorithm. Plasma samples were analyzed by Zymutest-HIA-IgG, HemosIL-AcuStar-HIT-IgG, and ID-H/PF4-PaGIA in retrospective (n = 221) and prospective (n = 305) derivation cohorts. We calculated likelihood ratios of result intervals and cutoff values with 100% negative (NPV) and positive (PPV) predictive values for a positive gold standard functional assay (heparin-induced platelet activation [HIPA]). A diagnostic algorithm was established based on the Bayesian combination of pretest probability and likelihood ratios of first- and second-line immunoassays. Cutoffs with 100% PPV for positive HIPA were >3.0 U/mL (HemosIL-AcuStar-HIT-IgG) and titer ≥16 (ID-H/PF4-PaGIA); cutoffs with 100% NPV were <0.13 U/mL and ≤1, respectively. During the prospective validation of the derived algorithm (n = 687), HemosIL-AcuStar-HIT-IgG was used as unique testing in 566 (82.4%) of 687 cases (analytical TAT, 30 minutes). In 121 (17.6%) of 687 unresolved cases, ID-H/PF4-PaGIA was used as second-line testing (additional TAT, 30 minutes). The algorithm accurately predicted HIT in 51 (7.4%) of 687 patients and excluded it in 604 (87.9%) of 687 patients, leaving only 20 (2.9%) cases unresolved. We also identified 12 (1.7%) of 687 positive predictions not confirmed by HIPA: 10 patients with probable HIT despite negative HIPA and 2 possible false-positive algorithm predictions. The combination of pretest probability with first- and second-line immunoassays for anti-PF4/heparin antibodies is accurate for ruling in or out HIT in ≥95% of cases within 60 minutes. This diagnostic approach improves initial management of patients with suspected HIT.
Pubmed
Web of science
Create date
23/01/2020 15:47
Last modification date
19/11/2020 6:26
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