Literature DB >> 33859172

Phenotypical differences and thrombosis rates in secondary erythrocytosis versus polycythemia vera.

Eliane Nguyen1,2, Michaël Harnois3, Lambert Busque1,2,3, Shireen Sirhan3,4, Sarit Assouline3,4,5, Ines Chamaki2,3,6, Harold Olney2,3,7, Luigina Mollica1,2,3, Natasha Szuber8,9,10.   

Abstract

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Year:  2021        PMID: 33859172      PMCID: PMC8050282          DOI: 10.1038/s41408-021-00463-x

Source DB:  PubMed          Journal:  Blood Cancer J        ISSN: 2044-5385            Impact factor:   11.037


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Dear Editor, Erythrocytosis is a common condition and an increasingly frequent reason for consultation in hematology. Since the inception of the 2016 World Health Organization (WHO) 2016 criteria, in lowering the hemoglobin (Hb) and hematocrit (Hct) diagnostic thresholds to 165 g/L and 49% in men, and 160 g/L and 48% in women, respectively[1], it has been estimated that 4.1% of unselected males (outpatients) have Hb levels exceeding these values[2]. With only a minority of these having polycythemia vera (PV)[3], hematologists are witnessing a new preponderance of referrals for secondary erythrocytosis (SE) which has yielded novel and significant diagnostic and therapeutic challenges. While the classic coupling of JAK2–positive/subnormal serum erythropoietin (Epo) greatly increases the likelihood of PV diagnosis[4,5], those not strictly fulfilling these criteria represent a heterogeneous population for whom a systematic approach has been difficult to establish[6]. Though efforts have been made to operationally discriminate between the various forms of erythrocytosis, data comparatively assessing SE and PV populations are scarce[7,8]. These support different clinical profiles[7,8], while reports of outcomes, including thrombosis, have been inconsistent[9,10]. Furthermore, little information exists on how these populations are managed in a real world setting, and it may be speculated that SE cohorts are subject either to under or over investigating and treatment. We conducted a direct comparison of clinical and laboratory features, outcomes, diagnostic workup, and treatment patterns in cohorts with SE vs WHO-defined PV.

Methods

This multicentric retrospective study included PV patients enrolled in a pan-provincial registry of the chronic myeloid leukemia (CML) and myeloproliferative neoplasms (MPN) Quebec Research Group (GQR LMC-NMP) and has Institutional Review Board approval. PV (multicentric) and SE (Maisonneuve-Rosemont Hospital) patients diagnosed between January 1999 and December 2019 were considered. PV diagnosis was per the WHO 2016 criteria[1], with the exemption of bone marrow biopsies (not performed in all). Secondary erythrocytosis was defined as sustained elevation in hemoglobin and/or hematocrit above WHO-thresholds for PV with negative JAK2V617F mutation testing and non-subnormal serum Epo levels (if subnormal, then bone marrow sampling to exclude JAK2 exon 12 mutations and/or endogenous erythroid colony testing, EEC, were performed). Serum Epo levels were measured using standard ELISA assay methods[11] and stratified according to reference values (range 3–30 mIU/mL). Levels obtained >3 months from diagnosis and/or measurements from non therapy-naive patients were excluded. JAK2 mutational screen and risk-stratification for PV were according to convention[5]. EEC assays, extensively used and validated in our center, were performed on peripheral blood and/or bone marrow according to standard methods[12]. Laboratory and clinical data corresponding to the time of diagnosis were abstracted, including cardiovascular risk factors as well as data on SE etiology, treatment history, complications (thrombosis, fibrotic/leukemic transformation), and survival. Only major arterial and venous thrombotic events were considered, as previously defined[13]. Standard statistical methods were used to assess variables across etiologically-stratified erythrocytosis groups (PV vs SE) with p values < 0.05 considered significant. JMP® Pro 14.0.0 software was used for all analyses (SAS Institute, Cary, NC, USA).

Results and discussion

Clinical characteristics

Laboratory and clinical features of 102 informative cases of erythrocytosis, stratified by etiology: SE (n = 36) vs PV (n = 66), are presented in Table 1. Median age was significantly lower in the SE (57 years old; range 19–76) vs PV group (63.5 years old; range 20–89) (p = 0.005), with a preponderance of males (75% in SE vs 45% PV; p = 0.004). Median serum Epo levels were normal in the SE cohort (10.3 mIU/mL; range <1–148) vs subnormal in PV patients (2.3 mIU/mL; range <1–14.1) (p < 0.0001). Epo level categories were also significantly different between the groups: subnormal/normal/high levels were recorded in 3/26/7 of SE and 43/13/0 of PV patients, respectively (p < 0.0001). At diagnosis, SE vs PV patients had significantly lower baseline platelet (191 vs 417 × 109/L; range 125–476 vs120–995) and leukocyte counts (7.2 vs 10 × 109/L, range 4.1–15.1 vs 4.5–20.5) as well as lactate dehydrogenase (LDH) levels (182 vs 247 U/L, range 126–316 vs 157–874) (p < 0.0001 for all). Though no differences were observed in median Hb values (p = 0.69), a significantly lower proportion of SE patients displayed Hct >55% at diagnosis compared to PV (25% vs 48%, p = 0.02). Palpable splenomegaly was also significantly less frequent in SE (n = 2, 6%) vs PV patients (n = 14, 23%) (p = 0.02). Lifestyle and comorbidity analysis revealed higher median body mass index (BMI) (33.4 vs 26) and an excess of obese patients (75% vs 17%) and active smokers (31% vs 12%) in SE vs PV groups respectively (p = 0.02–0.03), while no appreciable differences were found in the prevalence of hypertension, diabetes, hyperlipidemia, pulmonary disease, or sleep apnea (p = 0.18–0.88).
Table 1

Clinical characteristics, outcomes, and treatment patterns of patients with secondary erythrocytosis versus World Health Organization-defined polycythemia vera.

VariablesAll patients (n = 102)Secondary erythrocytosis patients (n = 36)PV patients (n = 66)P value
Age at diagnosis, years; median (range)61 (19–89)57 (19–76)63.5 (20–89)0.005
Males; n (%)57 (56)27 (75)30 (45)0.004
Serum Epo levels, mIU/mL; median (range) “N” evaluable = 92 (90%)2.9 (<1–148)10.3 (<1–148)2.3 (<1–14.1)<0.0001
Serum Epo level categories: Subnormal/Normal/High; n (%)46/39/7 (45/38/7)3/26/7 (8/72/19)43/13/0 (77/23/0)<0.0001
Hemoglobin, g/L; median (range) “N” evaluable = 100 (98%)178.5 (151–223)176 (160–206)179 (151–223)0.89
Hematocrit; median (range) “N” evaluable = 99 (97%)53.7 (44.6–70.2)52.9 (48–60)54.2 (44.6–70.2)0.12
Hematocrit>55%; n (%) “N” evaluable = 99 (97%)39 (39)9 (25)30 (48)0.02
Platelets, × 109/L; median (range) “N” evaluable = 101 (99%)326 (120–995)191 (125–476)417 (120–995)<0.0001
Platelets > 450 × 109/L; n (%) “N” evaluable = 101 (99%)27 (27)1 (3)26 (40)<0.0001
Leukocytes, × 109/L; median (range) “N” evaluable = 101 (99%)8.9 (4.1–20.5)7.2 (4.1–15.1)10 (4.5–20.5)<0.0001
Leukocytes > 11 × 109/L; n (%) “N” evaluable = 101 (99%)24 (24)1 (3)23 (35)<0.0001
LDH at diagnosis, U/L; median (range) “N” evaluable = 72 (71%)216 (126–874)182 (126–316)247 (157–874)<0.0001
Palpable splenomegaly at diagnosis; n (%) “N” evaluable = 97 (95%)16 (16)2 (6)14 (23)0.02
Driver mutation status “N” evaluable = 102 (100%)<0.0001
JAK2V617F; n (%)61 (60)061 (92)
JAK2 exon 12; n (%)3 (3)0 3 (5)
JAK2V617F unmutateda; n (%)38 (37)36 (100) 2 (3)
JAK2 allele frequency; median (range) “N” evaluable = 49 (74%)57.3 (3.67–95.3)
Endogenous erythroid colony testing0.0003
Performed; n (%)20 (20)18 (50)2 (3)
Negative result; n (%)18 (90)18 (100)0 (0)
Bone marrow aspirate and biopsy; n (%)37 (36)11 (31)26 (39)0.37
Conventional PV risk stratification “N” evaluable = 66 (100%)
Low risk; n (%)13 (20)
High risk; n (%)53 (80)
Body mass index; median (range) “N” evaluable = 68 (67%)26.5 (17.1–51.6)33.4 (27–34.8)26 (17.1–51.6)0.02
Active smoker; n (%)19 (18)11 (31)8 (12)0.03
Hypertension; n (%)43 (42)12 (33)31 (47)0.18
Diabetes; n (%)17 (17)8 (22)9 (14)0.27
Obesity; n (%) “N” evaluable = 68 (67%)14 (21)3 (75)11 (17)0.02
Hyperlipidemia33 (32)10 (28)23 (35)0.46
Pulmonary disease12 (12)4 (11)8 (12)0.88
Obstructive sleep apnea15 (15)4 (11)11 (17)0.44
Etiologies of secondary erythrocytosis; n (%) “N” evaluable = 36 (100%)
Idiopathic18 (50)
Smoking/COPD8 (22.2)
Smoking + additional factorb3 (8.3)
Obstructive sleep apnea2 (5.6)
Polycystic kidneys2 (5.6)
Sleep apnea + polycystic kidneys1 (2.7)
Sleep apnea + liver lesion1 (2.7)
Post renal transplant1 (2.7)
Therapy regimens (exposure, ever); n (%)
Phlebotomy67 (66)17 (47)50 (76)0.004
Aspirin82 (80)20 (56)62 (93)<0.0001
Cytoreduction58 (57)0 (0)58 (88)<0.0001
hydroxyurea58 (88)
ruxolitinib9 (14)
anagrelide4 (6)
interferon0 (0)
Fibrotic transformations; n (%) “N” evaluable = 66 (100%)6 (6)6 (9)
Leukemic transformations; n (%) “N” evaluable = 66 (100%)00
Follow-up in months; median (range)41 (0.7–238)10.2 (0.7–47)68.2 (11–238)<0.0001
Deaths; n (%)5 (5)0 (0)5 (8)0.03

WHO, World Health Organization, PV, polycythemia vera, Epo, erythropoietin, ND, non detectable, LDH, lactate dehydrogenase, JAK2, Janus kinase 2, COPD, chronic obstructive pulmonary disease.

aPV patients in the JAK2V617F unmutated category (n = 2) either had unmutated exon 12 (n = 1) or were not tested (n = 1); both had subnormal Epo and positive endogenous erythroid colony testing + / − bone marrow biopsy sampling consistent with the diagnosis of PV. SE patients in the JAK2V617F unmutated category included patients who had negative exon 12 testing (n = 10) vs exon 12 not performed (n = 26). All of the latter had normal/high Epo levels with the exception of one patient whose EEC testing was negative. Bone marrow sampling or EEC testing was performed in a proportion of the remainder (n = 9) to exclude PV.

bOther combined etiologies included: drug use (invokana), endocrine (nature unspecified), and sleep apnea.

Bold values indicate statistically significant values.

Clinical characteristics, outcomes, and treatment patterns of patients with secondary erythrocytosis versus World Health Organization-defined polycythemia vera. WHO, World Health Organization, PV, polycythemia vera, Epo, erythropoietin, ND, non detectable, LDH, lactate dehydrogenase, JAK2, Janus kinase 2, COPD, chronic obstructive pulmonary disease. aPV patients in the JAK2V617F unmutated category (n = 2) either had unmutated exon 12 (n = 1) or were not tested (n = 1); both had subnormal Epo and positive endogenous erythroid colony testing + / − bone marrow biopsy sampling consistent with the diagnosis of PV. SE patients in the JAK2V617F unmutated category included patients who had negative exon 12 testing (n = 10) vs exon 12 not performed (n = 26). All of the latter had normal/high Epo levels with the exception of one patient whose EEC testing was negative. Bone marrow sampling or EEC testing was performed in a proportion of the remainder (n = 9) to exclude PV. bOther combined etiologies included: drug use (invokana), endocrine (nature unspecified), and sleep apnea. Bold values indicate statistically significant values. Etiologies of erythrocytosis in the SE cohort were reported as idiopathic in 50% (n = 18), smoking/chronic obstructive pulmonary disease (COPD) in 22.2% (n = 8), smoking-related plus additional factors in 8.3% (n = 3), sleep apnea and polycystic kidney disease in 5.6% (n = 2) each, or combination of the latter two in 2.7% (n = 1), sleep apnea plus liver lesion in 2.7% (n = 1), and post kidney transplant erythrocytosis in 2.7% (n = 1) (Table 1). Extensive investigations, including abdominal and lung imaging, sleep studies, and directed testing according to patients’ comorbidities and symptoms, in order to rule out benign or neoplastic causes of polycythemia, are outlined in Supplemental Table 1. A significant portion (n = 18, 50%) of SE patients underwent EEC assays, and nearly as many SE (n = 11, 31%) as PV patients (n = 26, 39%) were exposed to bone marrow sampling (p = 0.37) as part of their workup. While PV patients had higher overall treatment rates, SE patients were not infrequently exposed to phlebotomy (47% vs 76% PV, p = 0.004) and aspirin therapy (56% vs 93% PV, p < 0.0001), though none underwent cytoreduction, which was exclusively directed at PV patients (n = 58, 88%) (Table 1). Phlebotomies were performed for multiple reasons in SE, notably to target empirically a hematocrit below 55% (Supplemental Table 1). Rates of fibrotic transformation in the PV cohort were low (n = 6, 9%) and no leukemic transformations were recorded. Median follow-up was 10.2 and 68.2 months with (0%) and 5 (8%) deaths recorded in SE vs PV cohorts, respectively (Table 1). We, additionally, performed analyses specifically comparing laboratory characteristics of idiopathic erythrocytosis (IE) vs PV patients (Supplemental Table 2). Notably, none of the IE patients had leukocyte counts >11 × 109/L, platelet counts >450 × 109/L, or subnormal EPO levels (p = 0.0001-0.0002). While being cognizant of the small sample (n = 18), the combination of the aforementioned laboratory criteria, with the addition of LDH in normal range, has a sensitivity of 94% and a specificity of 96% to identify IE (positive predictive value of 85%; negative predictive value of 98%).

Thrombotic events

Details of thrombotic events occurring in SE vs PV populations are presented in Table 2. Of note, both cohorts had similar rates of arterial or venous thrombosis at/prior to diagnosis including events in 9 (25%) SE and 19 (29%) PV patients (p = 0.68), while thrombotic events after diagnosis were less frequent in the SE (n = 0, 0%) vs PV cohort (n = 9, 14%; p = 0.004). At the time of thrombosis (post diagnosis), 33.3% of PV patients were found to have Hct >45%. Supplemental Table 3 comparatively evaluates patients with or without a history of thrombosis at any time. Variables clustering significantly with the thrombosis cohort included older age (p = 0.001), hypertension (p < 0.0001), diabetes (p = 0.01), obesity (p = 0.01), and hyperlipidemia (p < 0.0001).
Table 2

Details of thrombotic events occurring in secondary erythrocytosis versus World Health Organization-defined polycythemia vera patients prior to/at diagnosis and after diagnosis.

Thrombotic eventAll patients (n = 102)Secondary erythrocytosis patients (n = 36)PV patients (n = 66)P value
Any thrombosis at or prior to diagnosis; n (%)28 (27)9 (25)19 (29)0.68
Arterial thrombosis; n (%)23 (23)7 (19)16 (24)0.58
Cerebrovascular12 (52)1 (14)11 (69)0.04
Acute coronary syndrome (MI/angina)5 (22)2 (29)3 (19)
Peripheral artery disease5 (22)3 (43)2 (13)
Splanchnic1 (4)1 (14)0 (0)
Venous thrombosis; n (%)6 (6)2 (6)4 (6)0.92
DVT4 (67)2 (100)2 (50)0.35
PE1 (17)1 (25)
DVT + PE1 (17)1 (25)
Timing of event prior to diagnosis in years; median (range)4.7 (0–46.8)5.1 (0.6–12.4)4.4 (0–46.8)0.82
Any thrombosis after diagnosis; n (%)9 (9)0 (0)9 (14)0.004
Arterial thrombosis after diagnosis; n (%)7 (7)0 (0)7 (11)0.01
Cerebrovascular3 (43)0 (0)3 (43)
Acute coronary syndrome (MI/angina)4 (57)0 (0)4 (57)
Venous thrombosis after diagnosis; n (%)3 (3)0 (0)3 (5)0.10
DVT1 (33.3)1 (33.3)
PE1 (33.3)1 (33.3)
Ocular1 (33.3)1 (33.3)
Hemoglobin at time of thrombosis after diagnosis, g/L; median (range) “N” evaluable = 9 (100%)140 (117–204)140 (117–204)
Hematocrit at time of thrombosis after diagnosis; median (range) “N” evaluable = 9 (100%)42 (34–61.1)42 (34–61.1)
Hematocrit > 45% at time of thrombosis after diagnosis; n (%) “N” evaluable = 9 (100%)3 (33.3)3 (33.3)
Platelets at time of thrombosis after diagnosis, x 109/L; median (range) “N” evaluable = 9 (100%)280 (164–840)280 (164–840)
Platelets > 450 × 109/L at time of thrombosis after diagnosis; n (%) “N” evaluable = 9 (100%)2 (22)2 (22)
Leukocytes at time of thrombosis after diagnosis, x 109/L; median (range) “N” evaluable = 9 (100%)6.4 (3.8–33.9)6.4 (3.8–33.9)
Leukocytes > 10 × 109/L at time of thrombosis after diagnosis; n (%) “N” evaluable = 9 (100%)2 (22)2 (22)

WHO, World Health Organization, PV, polycythemia vera, MI, myocardial infarction, DVT, deep vein thrombosis, PE, pulmonary embolism.

Bold values indicate statistically significant values.

Details of thrombotic events occurring in secondary erythrocytosis versus World Health Organization-defined polycythemia vera patients prior to/at diagnosis and after diagnosis. WHO, World Health Organization, PV, polycythemia vera, MI, myocardial infarction, DVT, deep vein thrombosis, PE, pulmonary embolism. Bold values indicate statistically significant values. The diagnosis and the management of erythrocytosis are becoming increasingly complex, particularly in the case of JAK2 unmutated subjects. How thorough investigations and therapeutic interventions should be is an issue hematologists must now commonly be confronted with. Although limitations of the current study included its retrospective nature, limited sample size, preclusion of red cell mass testing, and more circumscribed follow-up in SE subjects, it disclosed salient phenotypic differences between PV and SE cohorts, and exposed previously unreported management patterns in SE patients. SE patients were significantly younger, more likely to be male, were active smokers, and obese, with normal–high Epo, normal LDH, and exceedingly rare leukocytosis and thrombocytosis, ostensibly discriminating them phenotypically, from their PV counterparts. Consistent with previous reports[14], approximately one quarter of PV patients in our cohort had normal–high Epo levels, underscoring that while less connotative, these levels do not preclude PV diagnosis; just as rarely, subnormal Epo levels may be detected in SE patients. Importantly, rates of thromboembolic events, prior to diagnosis, were comparable in both PV and SE populations, suggesting that from the standpoint of thrombosis, SE may not be as benign as some reports have intimated[9,15]. While post-diagnosis thrombotic rates appeared lower in SE patients, limited follow-up in this cohort precludes accurate interpretation. Furthermore, regardless of erythrocytosis etiology, classic cardiovascular risk factors (age, hypertension, obesity, etc.) significantly clustered with thrombosis risk, emphasizing the importance of controlling these risk factors in PV (in addition to Hct targets) as well as SE patients. Notably, a third of SE patients underwent bone marrow sampling with patent low-yield, raising the question of how to better discern patients that require this not entirely anodyne intervention. Similarly, from a therapeutic perspective, the fact that a significant proportion of SE patients were exposed to phlebotomy and aspirin, both of which remain controversial in secondary etiologies[6] and may not be completely innocuous, highlights the need for formal trials of these therapies in SE. Finally, while further studies are needed to more comprehensively address the unmet needs relevant to SE, the current observations call for a reappraisal of workup and management practices, and raise concerns for potentially increased thrombotic complications in this understudied population. Supplemental Table 1 Supplemental Table 2 Supplemental Table 3
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1.  Secondary polycythemia does not increase the risk of perioperative hemorrhagic or thrombotic complications.

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Journal:  J Clin Anesth       Date:  1991 Mar-Apr       Impact factor: 9.452

2.  Erythroid colony growth from peripheral blood and bone marrow in polycythaemia.

Authors:  G S Masters; P Baines; A Jacobs
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3.  The role of serum erythropoietin level and JAK2 V617F allele burden in the diagnosis of polycythaemia vera.

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4.  Prevalence of venous thromboembolism in patients with secondary polycythemia.

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Journal:  Clin Appl Thromb Hemost       Date:  2012-09-23       Impact factor: 2.389

5.  Blood p50 evaluation enhances diagnostic definition of isolated erythrocytosis.

Authors:  E Rumi; F Passamonti; L Pagano; M Ammirabile; L Arcaini; C Elena; A Flagiello; R Tedesco; C Vercellati; A P Marcello; D Pietra; R Moratti; M Cazzola; M Lazzarino
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7.  Beyond Hemoglobin: When and How to Work Up Possible Polycythemia Vera.

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Journal:  Clin Med Res       Date:  2019-10-03

8.  Idiopathic erythrocytosis: a study of a large cohort with a long follow-up.

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Journal:  Ann Hematol       Date:  2015-11-07       Impact factor: 3.673

Review 9.  A guideline for the management of specific situations in polycythaemia vera and secondary erythrocytosis: A British Society for Haematology Guideline.

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Journal:  Br J Haematol       Date:  2018-11-13       Impact factor: 6.998

10.  Survival and prognosis among 1545 patients with contemporary polycythemia vera: an international study.

Authors:  A Tefferi; E Rumi; G Finazzi; H Gisslinger; A M Vannucchi; F Rodeghiero; M L Randi; R Vaidya; M Cazzola; A Rambaldi; B Gisslinger; L Pieri; M Ruggeri; I Bertozzi; N H Sulai; I Casetti; A Carobbio; G Jeryczynski; D R Larson; L Müllauer; A Pardanani; J Thiele; F Passamonti; T Barbui
Journal:  Leukemia       Date:  2013-06-06       Impact factor: 11.528

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