Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
Open Science Slovenia
Open Science
DiKUL
slv
|
eng
Search
Browse
New in RUL
About RUL
In numbers
Help
Sign in
Is it possible to predict clonal thrombocytosis in triple-negative patients with isolated thrombocytosis based only on clinical or blood findings?
ID
Belčič, Tanja
(
Author
),
ID
Vratanar, Bor
(
Author
),
ID
Pajič, Tadej
(
Author
),
ID
Anžej Doma, Saša
(
Author
),
ID
Debeljak, Nataša
(
Author
),
ID
Preložnik Zupan, Irena
(
Author
),
ID
Sever, Matjaž
(
Author
),
ID
Zver, Samo
(
Author
)
PDF - Presentation file,
Download
(690,57 KB)
MD5: 0EBF79A5CC174557DEB55C2764805746
URL - Source URL, Visit
https://www.mdpi.com/2077-0383/10/24/5803
Image galllery
Abstract
JAK2, MPL, and CALR mutations define clonal thrombocytosis in about 90% of patients with sustained isolated thrombocytosis. In the remainder of patients (triple-negative patients) diagnosing clonal thrombocytosis is especially difficult due to the different underlying conditions and possible inconclusive bone marrow biopsy results. The ability to predict patients with sustained isolated thrombocytosis with a potential clonal origin has a prognostic value and warrants further examination. The aim of our study was to define a non-invasive clinical or blood parameter that could help predict clonal thrombocytosis in triple-negative patients. We studied 237 JAK2 V617-negative patients who were diagnosed with isolated thrombocytosis and referred to the haematology service. Sixteen routine clinical and blood parameters were included in the logistic regression model which was used to predict the type of thrombocytosis (reactive/clonal). Platelet count and lactate dehydrogenase (LDH) were the only statistically significant predictors of clonal thrombocytosis. The platelet count threshold for the most accurate prediction of clonal or reactive thrombocytosis was 449 × 10$^9$/L. Other tested clinical and blood parameters were not statistically significant predictors of clonal thrombocytosis. The level of LDH was significantly higher in CALR-positive patients compared to CALR-negative patients. We did not identify any new clinical or blood parameters that could distinguish clonal from reactive thrombocytosis. When diagnosing clonal thrombocytosis triple-negative patients are most likely to be misdiagnosed. Treatment in patients with suspected triple-negative clonal thrombocytosis should not be delayed if cardiovascular risk factors or pregnancy coexist, even in the absence of firm diagnostic criteria. In those cases the approach “better treat more than less” should be followed.
Language:
English
Keywords:
clonal thrombocytosis
,
essential thrombocythaemia
,
lactate dehydrogenase
,
calreticulin
,
platelet count
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
MF - Faculty of Medicine
Publication status:
Published
Publication version:
Version of Record
Year:
2021
Number of pages:
13 str.
Numbering:
Vol. 10, iss. 24, art. 5803
PID:
20.500.12556/RUL-136598
UDC:
616.1
ISSN on article:
2077-0383
DOI:
10.3390/jcm10245803
COBISS.SI-ID:
92226819
Publication date in RUL:
12.05.2022
Views:
983
Downloads:
105
Metadata:
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Share:
Record is a part of a journal
Title:
Journal of clinical medicine
Shortened title:
J. clin. med.
Publisher:
MDPI
ISSN:
2077-0383
COBISS.SI-ID:
5405759
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
11.12.2021
Secondary language
Language:
Slovenian
Keywords:
klonska trombocitoza
,
esencialna trombocitemija
,
laktat dehidrogenaza
Projects
Funder:
Other - Other funder or multiple funders
Funding programme:
University Medical Centre Ljubljana, Department of Haematology
Funder:
ARRS - Slovenian Research Agency
Funding programme:
Young researchers
Funder:
ARRS - Slovenian Research Agency
Project number:
P3-0154
Name:
Metodologija za analizo podatkov v medicini
Similar documents
Similar works from RUL:
Similar works from other Slovenian collections:
Back