Literature DB >> 26793025

Thrombotic risk assessment in 185 WHO-defined essential thrombocythemia patients: single center experience.

Ruta Dambrauskiene1, Rolandas Gerbutavicius1, Elona Juozaityte2, Rima Gerbutaviciene3.   

Abstract

Thrombosis risk in essential thrombocythemia (ET) patients can be assessed using different prognostic systems. Conventional risk factors include age more than 60 years and history of previous thrombosis. In addition, other factors such as JAK2 V617F mutations, cardiovascular risk factors, leukocytosis more than 11 × 10(9)/l, thrombophilic factors and platelet count more than 1500 × 10(9)/l are used in different hematology centers as high-risk features for thrombosis. Our study compared different risk model groups for thrombosis in 185 WHO-defined ET patients at the Hospital of Lithuanian University of Health Sciences Kaunas Klinikos. We found that patient distribution in low, intermediate- and high-risk groups varies using different risk stratification models. The biggest difference in risk assignment is evident in patients who are older than 60 years and have no other risk factors and in patients who are younger than 60 years but have other risk factors. This observation suggests that new prospective randomized clinical trials are needed to better stratify patients at risk for thrombosis.

Entities:  

Keywords:  chronic myeloproliferative neoplasms; essential thrombocythemia; platelets; thrombosis

Year:  2015        PMID: 26793025      PMCID: PMC4709397          DOI: 10.5114/wo.2015.54083

Source DB:  PubMed          Journal:  Contemp Oncol (Pozn)        ISSN: 1428-2526


Introduction

Essential thrombocythemia (ET) is one of the bcr-abl negative myeloproliferative neoplasms. Diagnosis is made when 1) platelet count is higher than 450 × 109/; 2) patients have the JAK2 V617F mutation or another clonal mutation such as in the gene encoding the thrombopoietin receptor (MPL); 3) bone marrow reveals megakaryocyte proliferation with large and mature megakaryocytes in the bone marrow [1]. Recent discovery of the calreticulin (CARL) gene is likely going to modify the diagnostic criteria of ET [2] as there are ET patients who have the CARL mutation but do not bare JAK2 V617F and MPL mutations. The most common complications associated with ET are thrombosis, bleeding and myelofibrosis. Thrombosis can be life-threatening, so it is important to identify patients at risk for thrombotic complications. Thrombosis risk assessment is still a matter of debate as different research groups use different risk criteria. To date, the most widely used are the conventional evidence-based criteria. Based on them, high-risk factors for thrombosis are age > 60 years and a history of previous thrombosis [3]. The intermediate-risk group encompasses patients whose age is between 40–60 years, whereas patients under 40 years fall into the low-risk stratum [4]. However, the British Committee for Standards in Haematology (BCSH) uses a platelet count of > 1500 × 109/l as an additional high-risk factor (Table 1). For comparison, the Czech Collaborative Group for Ph negative Myeloproliferative diseases (CZEMP) identifies high-risk patients by additional factors such as platelet count > 1000 × 109/l, thrombophilic status and microcirculatory symptoms [5].
Table 1

BCSH risk stratification [4]

High riskIntermediate riskLow risk
Age > 60 yearsAge 40–60 yearsAge < 40 years
Prior thrombosis
Platelet > 1500 × 109/l
BCSH risk stratification [4] In 2012 the International Working Group of Myelofibrosis Research and Treatment (IWG-MRT) developed the International Prognosis Score for ET (IPSET) to help predict survival for ET patients at diagnosis. The same model was able to predict thrombosis [6] (Table 2). Additionally, the International Prognosis Score for Thrombosis (IPSET-T) risk stratification was proposed by Barbui and colleagues [7]. It includes not only the patient's age and history of thrombosis as risk factors but also JAK2V617F mutation and cardiovascular risk factors (Table 3). In contrast to JAK2V617F mutation, CARL positive patients showed decreased thrombosis risk, and incorporating it in the IPSET-T model does not modify the thrombosis risk [8].
Table 2

IPSET risk stratification [6]

Risk factorsScores

012
Age< 60≥ 60
WBC × 109/l< 11≥ 11
History of thrombosisNoYes

*Low risk, score 0; intermediate risk, score 1–2; high risk, score 3–4

Table 3

IPSET-Thrombosis risk stratification [7]

Risk factorScore*
Age > 601
Cardiovascular risk factors1
Previous thrombosis2
JAK2 V617F2

Low risk, score 0–1; intermediate risk, score 2; high risk, score ≥ 3

IPSET risk stratification [6] *Low risk, score 0; intermediate risk, score 1–2; high risk, score 3–4 IPSET-Thrombosis risk stratification [7] Low risk, score 0–1; intermediate risk, score 2; high risk, score ≥ 3 The purpose of this study was to compare the outcomes of patients with ET based on different risk stratification systems. We evaluated 185 WHO-defined ET patients at the Hospital of Lithuanian University of Health Sciences Kaunas Klinikos.

Material and methods

This was a retrospective, cohort study at a single university hospital. Our survey included 185 patients who were diagnosed with ET according to 2008 WHO essential thrombocythemia diagnostic criteria. Patients diagnosed with ET before 2008 according to Polycythemia Vera Study Group (PVSG) criteria were revaluated for WHO diagnostic criteria. Data were collected from medical records and interviews obtained during patients’ visits to a hematologist. All patients were asked to complete a cardiovascular events and risk factors questionnaire. On repeated visits during follow-up, the history of thrombosis was taken. Cardiovascular risk factors were arterial hypertension, overweight, smoking, diabetes mellitus, and hypercholesterolemia. Thrombotic events were defined as major: acute myocardial infarction, unstable angina pectoris, ischemic stroke and venous thrombosis. All patients were evaluated for risk factors using four different systems (Table 4, Fig. 1). The study was approved by the regional ethics committee.
Table 4

Classification of 185 ET patients according to different risk scoring

Risk groupConventionalIPSETIPSET-TBCSH
High12656118127
Intermediate874438
Low59422320
Fig. 1

185 patients risk groups

185 patients risk groups Classification of 185 ET patients according to different risk scoring

Results

The mean age of our study cohort was 62 years (range 17–90); they were predominantly female patients (67.2%). The mean platelet count was 765 × 109/l (range 450–2268 × 109/l), mean hemoglobin concentration 132 g/l (range 120–178 g/l), and mean leukocyte count 9.9 × 109/l (range 4–22 × 109/l). The mean disease duration was 47.31 months (range 1–142). Splenomegaly was analyzed by physical examination. Palpable splenomegaly was present in 16 (8.6%) patients. There was thrombosis history in 47 (25.4%) patients, thrombosis before diagnosis in 35 (18.9%) patients, and after diagnosis in 12 (6.5%) patients. Most events were arterial (41, 87.2%), 5 (10.6%) were venous, and 1 (2.1%) patient had both arterial and venous events. One or more cardiovascular risk factors were identified in 66 (35.7%) patients, 2 of them have 3 risk factors (arterial hypertension, diabetes mellitus and overweight), 35 patients have 1 risk factor, and the other 66 patients have 2 risk factors. 152 (82.2%) were positive for JAK2V617F mutation. According to conventional thrombosis criteria we identified 126 high- and 59 low-risk patients in our cohort. From the high-risk group 23 patients had thrombosis history and were older than 60 years at diagnosis, 91 patients were older than 60 at diagnosis with no thrombosis, and 13 patients were younger than 60 with thrombosis. According to the prognostic model IPSET, we identified 56 patients as high-risk, 87 patients as intermediate-risk and 42 patients as low-risk group. According to the IPSET-Thrombosis model, 118 patients were high-risk, 44 were intermediate-, and 23 low-risk. According to the BCSH risk stratification 127 patients were high-risk, 28 intermediate-, and 20 low-risk.

Discussion

The most common cause of ET morbidity and mortality is thrombotic complications. Therefore it is important to establish thrombosis risk factors at the time of diagnosis in order to decide proper treatment options. The purpose of our survey was to evaluate the clinical usefulness and relevance of four thrombosis scoring systems (conventional, IPSET, IPSET-T, BCSH) in our cohort of 185 2008 WHO-defined ET patients. The conventional risk factors are age and previous thrombosis. Patients under 60 years old without previous thrombosis are low-risk. In our cohort 59 (31.9%) patients from 185 are low-risk using these aforementioned risk factors not requiring cytoreductive treatment. According to IPSET-T only 8 (13.6%) patients without any other factors (score 0) from those 59 and 4 (6.8%) patients with cardiovascular risk factors only (score 1) belong to the low-risk group. So, only 20.3% of 185 patients younger than 60 remain in the low-risk group when applying the new IPSET-T criteria. The majority of these 59 low-risk patients from our cohort transfer to the intermediate-risk group: 36 patients (61.0%) with JAK2V617F positive only (score 2). Ten patients (16.9%) from 59 patients are younger than 60, JAK2V617F positive with one of the cardiovascular risk factors (score 3). They would be categorized as high-risk according to IPSET-T. In this case these aforementioned 16.9% of patients probably would require cytoreductive treatment already, despite being under 60 years old and having no previous thrombosis, if we use the IPSET-T model at diagnosis. Nevertheless, our data show that almost 80% of low-risk patients under 60 years old are reclassified to the IPSET-T intermediate- and high-risk group category. This group of patients would benefit from a prospective, randomized clinical trial in order to define optimal treatment modality. When using BCSH criteria this low-risk group decreases even more, because only 20 (10.8%) patients are younger than 40 years with no other risk factors. Patients older than 60 either have thrombosis history belong to the high-risk group using conventional risk factors. This group of patients would benefit from cytoreductive therapy. There are 126 (68.1%) high-risk patients according to conventional risk factors in our cohort. This group consists of 91 (72.2%) patients older than 60 with no thrombotic events, 23 (18.3%) older than 60 with thrombosis history, and the remaining 12 (9.5%) patients are younger than 60 with previous thrombosis. 11 (12.1%) patients from all who are older than 60 without JAK2V617F mutation, with no cardiovascular risk factors and with no previous thrombosis would belong to the low-risk category according to IPSET-T (score 1). Actually this group could be even higher, but our cohort is 82% JAK2V617F positive. It is contrary to the risk model with conventional risk factors, because these 11 patients would belong to the high-risk group. It means that these 12.1% of patients from the conventional high-risk group would transfer to low-risk IPSET-T, probably requiring observation only or possibly antiplatelet therapy. Otherwise, they may be over-treated with cytoreductive treatment. Age in the IPSET classification has the highest impact on thrombosis risk level. Only patients older than 60 with leukocytosis more than 11 × 109/l and previous thrombosis belong to the high-risk group according to IPSET. From our patients, 56 (30.3%) fell into the high-risk category based on the IPSET classification. Interestingly, this number of patients is the smallest when comparing all other risk models (BSCH, IPSET-T, conventional). Only one third of 185 patients (44; 23.8%) according to IPSET-T belong to the intermediate-risk group. One (2.3%) patient is under 60 years old with previous thrombosis, JAK2V617F negative and with no cardiovascular risk factors (score 2). Seven (15.9%) from these 44 patients are older than 60 with one or more cardiovascular risk factors (score 2). 36 patients (81.8%) are JAK2V617F positive only (score 2). Almost half of all patients (47.6%) are categorized as intermediate-risk according to IPSET. 30 (34%) of these 88 patients are younger than 60: 10 (11.4%) patients (score 1) had previous thrombosis, 17 (38.6%) patients (score 1) had leukocytosis more than 11 × 109/l, and 3 patients (6.8%) (score 3) had both risk factors. It seems that adding leukocytosis more than 11 × 109/l as an independent risk factor for thrombosis scoring doubles the intermediate-risk group in the IPSET model. The high-risk group in IPSET seems to be the smallest when compared with other risk models. To date, 12 patients from our cohort have had thrombosis after diagnosis. Adopting the IPSET-T model, 1 patient was in the low-risk, 1 in the intermediate-risk and 10 patients in the high-risk group. Due to small numbers of thrombotic events we were unable to perform a statistical analysis. Management of ET patients largely depends on the patient risk group. Low-risk patients benefit from antiplatelet therapy. There is no prospective randomized clinical trial for aspirin use, although a retrospective study favors aspirin use compared to observation only [9]. Moreover, some experts recommend aspirin use even twice daily to prevent thrombosis [10]. If patients have extreme thrombocytosis with platelet count > 1000 × 109/l causing acquired von Willebrand syndrome or increased risk of bleeding, antiplatelet agents should be avoided [11]. There is no consensus in management approaches for patients in the intermediate-risk group. The group of experts of the Italian Society of Hematology (SIE) and the affiliate societies SIES (Italian Society of Experimental Hematology) and GITMO (Italian Group for Bone Marrow Transplantation) agree that at present there is no evidence to treat with cytoreductive medications these intermediate-risk patients and for further improvement of evidence-based data controlled randomized trials are needed [12]. Management of the high-risk group is well defined. Hydroxycarbamide (HU) together with low dose aspirin or anagrelide monotherapy is becoming a standard of care [11, 13, 14]. In patients aged under 40, interferon α is recommended [4]. Use of busulfan or pipobroman is usually restricted to ET patients older than 75 and only as second or third line therapy [13]. In conclusion: our results show that different risk assessment models stratify patients to different risk groups. There is a subset of patients that varies from the low- (20.7%) to high-/intermediate-risk group and from the high- (12.1%) to low-/intermediate-risk group according to different scoring systems that we use at diagnosis. In our opinion, IPSET-T would be more rational to use, whereas it is based on four thrombosis criteria including JAK2 V617F mutation and determined the largest group of patients that need treatment compared with other models. New prospective randomized clinical trials are crucial, especially for ET patients older than 60 who have no other risk factors and ET patients younger than 60 years with no previous thrombosis but with other risk factors, in order to avoid over-treatment as well as insufficient treatment.
  14 in total

1.  A prognostic model to predict survival in 867 World Health Organization-defined essential thrombocythemia at diagnosis: a study by the International Working Group on Myelofibrosis Research and Treatment.

Authors:  Francesco Passamonti; Jürgen Thiele; Francois Girodon; Elisa Rumi; Alessandra Carobbio; Heinz Gisslinger; Hans Michael Kvasnicka; Marco Ruggeri; Maria Luigia Randi; Naseema Gangat; Alessandro Maria Vannucchi; Andrea Gianatti; Bettina Gisslinger; Leonhard Müllauer; Francesco Rodeghiero; Emanuele S G d'Amore; Irene Bertozzi; Curtis A Hanson; Emanuela Boveri; Filippo Marino; Margherita Maffioli; Domenica Caramazza; Elisabetta Antonioli; Valentina Carrai; Veronika Buxhofer-Ausch; Cristiana Pascutto; Mario Cazzola; Tiziano Barbui; Ayalew Tefferi
Journal:  Blood       Date:  2012-06-26       Impact factor: 22.113

2.  Observation versus antiplatelet therapy as primary prophylaxis for thrombosis in low-risk essential thrombocythemia.

Authors:  Alberto Alvarez-Larrán; Francisco Cervantes; Arturo Pereira; Eduardo Arellano-Rodrigo; Virginia Pérez-Andreu; Juan-Carlos Hernández-Boluda; Ramón Ayats; Carlos Salvador; Ana Muntañola; Beatriz Bellosillo; Vicente Vicente; Luis Hernández-Nieto; Carmen Burgaleta; Blanca Xicoy; Carlos Besses
Journal:  Blood       Date:  2010-05-27       Impact factor: 22.113

Review 3.  Myeloproliferative neoplasms and thrombosis.

Authors:  Tiziano Barbui; Guido Finazzi; Anna Falanga
Journal:  Blood       Date:  2013-07-03       Impact factor: 22.113

4.  Calreticulin mutation does not modify the IPSET score for predicting the risk of thrombosis among 1150 patients with essential thrombocythemia.

Authors:  Guido Finazzi; Alessandra Carobbio; Paola Guglielmelli; Chiara Cavalloni; Silvia Salmoiraghi; Alessandro M Vannucchi; Mario Cazzola; Francesco Passamonti; Alessandro Rambaldi; Tiziano Barbui
Journal:  Blood       Date:  2014-10-16       Impact factor: 22.113

5.  Development and validation of an International Prognostic Score of thrombosis in World Health Organization-essential thrombocythemia (IPSET-thrombosis).

Authors:  Tiziano Barbui; Guido Finazzi; Alessandra Carobbio; Juergen Thiele; Francesco Passamonti; Elisa Rumi; Marco Ruggeri; Francesco Rodeghiero; Maria Luigia Randi; Irene Bertozzi; Heinz Gisslinger; Veronika Buxhofer-Ausch; Valerio De Stefano; Silvia Betti; Alessandro Rambaldi; Alessandro M Vannucchi; Ayalew Tefferi
Journal:  Blood       Date:  2012-10-01       Impact factor: 22.113

6.  Somatic mutations of calreticulin in myeloproliferative neoplasms.

Authors:  Thorsten Klampfl; Heinz Gisslinger; Ashot S Harutyunyan; Harini Nivarthi; Elisa Rumi; Jelena D Milosevic; Nicole C C Them; Tiina Berg; Bettina Gisslinger; Daniela Pietra; Doris Chen; Gregory I Vladimer; Klaudia Bagienski; Chiara Milanesi; Ilaria Carola Casetti; Emanuela Sant'Antonio; Virginia Ferretti; Chiara Elena; Fiorella Schischlik; Ciara Cleary; Melanie Six; Martin Schalling; Andreas Schönegger; Christoph Bock; Luca Malcovati; Cristiana Pascutto; Giulio Superti-Furga; Mario Cazzola; Robert Kralovics
Journal:  N Engl J Med       Date:  2013-12-10       Impact factor: 91.245

7.  Anagrelide compared with hydroxyurea in WHO-classified essential thrombocythemia: the ANAHYDRET Study, a randomized controlled trial.

Authors:  Heinz Gisslinger; Mirjana Gotic; Jerzy Holowiecki; Miroslav Penka; Juergen Thiele; Hans-Michael Kvasnicka; Robert Kralovics; Petro E Petrides
Journal:  Blood       Date:  2013-01-11       Impact factor: 22.113

8.  Incidence and risk factors for thrombotic complications in a historical cohort of 100 patients with essential thrombocythemia.

Authors:  S Cortelazzo; P Viero; G Finazzi; A D'Emilio; F Rodeghiero; T Barbui
Journal:  J Clin Oncol       Date:  1990-03       Impact factor: 44.544

9.  Identifying and addressing unmet clinical needs in Ph-neg classical myeloproliferative neoplasms: a consensus-based SIE, SIES, GITMO position paper.

Authors:  Giovanni Barosi; Alessandro M Vannucchi; Valerio De Stefano; Fabrizio Pane; Francesco Passamonti; Alessandro Rambaldi; Giuseppe Saglio; Tiziano Barbui; Sante Tura
Journal:  Leuk Res       Date:  2013-09-19       Impact factor: 3.156

Review 10.  Personalized management of essential thrombocythemia-application of recent evidence to clinical practice.

Authors:  A Tefferi; T Barbui
Journal:  Leukemia       Date:  2013-04-05       Impact factor: 11.528

View more
  1 in total

Review 1.  Essential thrombocythemia presenting as acute coronary syndrome: case reports and literature review.

Authors:  Nanqing Xiong; Wen Gao; Junjie Pan; Xinping Luo; Haiming Shi; Jian Li
Journal:  J Thromb Thrombolysis       Date:  2017-07       Impact factor: 2.300

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.