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Koh, Seo, Kang, Lee, Song, and Jo: Clinical features and outcomes of JAK2 unmutated erythrocytosis
To the Editor:
Polycythemia vera (PV) is a myeloproliferative neoplasm characterized by increased production of red blood cells independent of the mechanism that normally regulates erythropoiesis, which is associated with JAK2 mutations [1]. Thrombotic and hemorrhagic vascular events are the main clinical manifestations of this disorder [2]. Established treatment guidelines for PV exist to reduce thrombotic vascular events [3, 4]. However, treatment strategies for JAK2 unmutated erythrocytosis (hereafter ‘erythrocytosis’) vary due to the inconsistent risk of thrombosis [5, 6]. The clinical implications of erythrocytosis in the Korean population have rarely been described. Thus, we compared the clinical features and outcomes of JAK2 unmutated erythrocytosis in comparison with those of PV in a Korean population.
We conducted a retrospective analysis of patients diagnosed with PV or erythrocytosis at the Chungnam National University Hospital between January 2010 and December 2022. PV was diagnosed according to the 2016 World Health Organization criteria [1]. In patients with PV, phlebotomy and hydroxyurea were prescribed according to the standard recommendations. Low-dose aspirin (100 mg/day) was prescribed to prevent thrombosis. JAK2 unmutated erythrocytosis was defined as elevated hemoglobin or hematocrit levels fulfilling the PV criteria without JAK2V617F and JAK2 exon 12 mutations. Phlebotomy was performed selectively in some erythrocytosis patients with a hematocrit greater than 50% and high cardiovascular risk. Thrombotic events included cerebrovascular accidents (ischemic stroke, transient ischemic attack, and venous sinus thrombosis), coronary events (ischemic heart diseases such as acute coronary syndrome), and splanchnic and peripheral thromboembolism. Events that occurred before, at, or after diagnosis were included in the analysis.
Descriptive data are presented as means ± standard deviations, medians (ranges), or percentages and were analyzed using Student’s t test, chi-square test, or Fisher’s exact test as appropriate. Correlations between hematocrit and other parameters were assessed using Pearson correlation analysis. The cumulative incidence of thrombosis was calculated using the Fine and Gray model, with death serving as a competing risk, and analyzed using the Gray equality test. Risk factors for thrombosis were also analyzed using the Fine and Gray regression model, with death serving as a competing risk. Overall survival (OS) was defined as the time from diagnosis to death due to any cause. Survival was estimated using the Kaplan–Meier method and analyzed using the log-rank test. Statistical analyses were performed using SPSS (ver. 24.0; IBM, Armonk, NY, USA) or SAS Studio (SAS Institute, Cary, NC, USA). In all analyses, P < 0.05 was taken to indicate statistical significance. This study was approved by the Institutional Review Board of the Chungnam National University Hospital (IRB No. 2022–11-070). The need for informed consent was waived by the ethics committee due to the retrospective study design.
A total of 282 patients were enrolled, 194 of whom had erythrocytosis and 88 had PV. Patients with erythrocytosis were younger (52 [17–84] years vs. 66.5 [31–91] years; P = 0.026), predominantly male (90.7% vs. 45.5%; P < 0.001), and more likely to have been diagnosed in the past six years (51.4% vs. 91.2%) (Fig. 1). Furthermore, erythrocytosis patients exhibited lower hematocrit levels (54.0 ± 3.4% vs. 46.7 ± 7.1%, P < 0.001), white blood cell counts (7.7 ± 2.8 × 109/L vs. 15.5 × 109/L, P < 0.001), neutrophil-to-lymphocyte ratios (2.3 ± 1.3 vs. 7.6 ± 6.7, P < 0.01), platelet counts (129.2 ± 53.5 × 109/L vs. 532.4 ± 285.3 × 109/L, P < 0.001), and normalized lactate dehydrogenase (LDH) ratios (0.9 ± 0.3 vs. 1.4 ± 0.5, P < 0.001) compared with PV patients. Conversely, erythrocytosis patients exhibited higher transferrin saturation (37.9 ± 35.8% vs. 13.9 ± 12.5%, P < 0.001), serum ferritin levels (201.1 ± 189.2 ng/mL vs. 41.8 ± 63.0 ng/mL, P < 0.001), and serum erythropoietin levels (12.5 ± 14.1 mIU/mL vs. 4.1 ± 5.3 mIU/mL, P < 0.001) compared with PV patients. Hypertension (47.9% vs. 28.9%, P = 0.004), sodium-glucose co-transporter-2 inhibitor use (12.9% vs. 0%, P < 0.001), smoking (37.1% vs. 21.7%, P = 0.003), chronic obstructive pulmonary disease (COPD) (8.8% vs. 2.3%, P = 0.044), heart failure (6.7% vs. 0%, P = 0.013), and elevated body mass index (> 30 kg/m2; 18.0% vs. 2.3%, P < 0.001) were more prevalent in erythrocytosis patients than in PV patients (Table 1). Hematocrit levels were positively correlated with neutrophil counts (r = 0.199, P = 0.005), neutrophil-to-lymphocyte ratios (r = 0.259, P < 0.001), serum LDH levels (r = 0.256, P = 0.001), serum iron levels (r = 0.183, P = 0.020), serum erythropoietin levels (r = 0.253, P < 0.001), and serum vitamin B12 levels (r = 0.226, P = 0.007) (data not shown). Of the 194 patients with erythrocytosis, 21 underwent a bone marrow study, and panmyelosis was not observed in any of these patients. The mean follow-up duration was significantly longer in PV patients than in erythrocytosis patients (42.5 [0.3–140.5] months vs 18.6 [0.1–137.9] months; P < 0.001). The overall cumulative incidence of thrombosis was significantly higher in patients with PV than in those with erythrocytosis (5-year incidence: 43.0% vs. 14.7%; 10-year incidence: 51.2% vs. 14.7%; P < 0.001). Although the cumulative incidence of thrombosis after diagnosis was higher in patients with PV than in those with erythrocytosis (5-year incidence, 12.7% vs. 5.3%, respectively), the difference was not statistically significant (P = 0.122). The cumulative incidence of thrombosis in patients with erythrocytosis was lower in the phlebotomized group than in the non-phlebotomized group (5-year incidence, 0% vs. 6.8%); however, the difference was not statistically significant (P = 0.280) (Fig. 2). Regression analysis identified diabetes mellitus (hazard ratio 4.93, 95% confidence interval, 1.26 − 19.31; P = 0.022) and COPD (hazard ratio 11.88, 95% confidence interval, 2.59 − 54.55; P = 0.001) as independent risk factors of thrombotic events in patients with erythrocytosis (Table 2). The overall survival tended to be lower in patients with PV than in those with erythrocytosis (5-year overall survival, 88.2% vs. 95.4%; 10-year overall survival, 65.8% vs. 95.4%, P = 0.064) (data not shown).
The diagnostic criteria for PV have been continuously revised [1, 7, 8, 910]. Notably, the diagnostic thresholds of hemoglobin and hematocrit for PV have been considerably lowered in the diagnostic criteria proposed by the World Health Organization. The number of newly diagnosed patients with PV is increasing in Korea [11], which is attributable, at least in part, to changes in diagnostic criteria and widespread studies of driver gene mutations. In parallel, the number of JAK2 unmutated erythrocytosis cases is increasing possibly for reasons similar to those of PV. The present study showed that although JAK2 unmutated erythrocytosis carries a significantly lower thrombotic risk than PV, individuals with erythrocytosis, particularly those with diabetes mellitus and COPD, have a persistent risk of thrombotic vascular events. Further studies are warranted to determine whether thrombophylaxis is required in these patients. The therapeutic benefits of phlebotomy in these patients also require further investigation.

Acknowledgements

This study was supported by the 2023 grant from Chungnam National University Hospital.

Notes

Authors’ contributions

All authors contributed to the study conception and design. Data collection and analysis were performed by JSK, WS, SK, and MWL. The first draft of the manuscript was written by JSK and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Data availability

No datasets were generated or analysed during the current study.

Declarations

Competing interests

The authors declare no competing interests.

Appendix

Supplementary Information

The online version contains supplementary material available at https://doi.org/10.1007/s44313-​025-​00072-8.

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References

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Fig. 1
Changes by year in the number of patients newly diagnosed with polycythemia vera and JAK2 unmutated erythrocytosis
br-60-20-f1.tif
Fig. 2
Overall cumulative incidence of thrombotic vascular events (A), cumulative incidence of thrombotic vascular events occurring after diagnosis (B), and cumulative incidence of thrombotic vascular events in patients with JAK2 unmutaed erythrocytosis according to phlebotomy (C)
br-60-20-f2.tif
Table 1
Patient characteristics
Polycythemia vera (N = 88)
JAK2 unmutated erythrocytosis (N = 194)
P
Age, yr, median (range)
66.5 (31 − 91)
52 (17 − 84)
0.026
Male, N (%)
40 (45.5)
176 (90.7)
 < 0.001
Palpable splenomegaly, N (%)
3 (3.4)
0 (0.0)
0.030
Laboratory findings
 WBC (× 109/L)
15.5 ± 6.5
7.7 ± 2.8
 < 0.001
 Neutrophil/Lymphocyte
7.6 ± 6.7
2.3 ± 1.3
 < 0.001
 Monocyte (× 109/L)
0.7 ± 0.4
05 ± 0.2
 < 0.001
 Hemoglobin (g/dL)
18.1 ± 2.5
18.1 ± 1.1
0.784
 Hematocrit (%)
56.7 ± 7.1
54.0 ± 3.4
 < 0.001
 Platelet (× 109/L)
532.4. ± 285.3
129.2 ± 53.5
 < 0.001
 LDH (× ULN)
1.4 ± 0.5
0.9 ± 0.3
 < 0.001
 Transferrin saturation (%)
13.9 ± 12.5
37.9 ± 35.8
 < 0.001
 Serum ferritin (ng/mL)
41.8 ± 63.0
201.1 ± 189.2
 < 0.001
 Serum EPO (mIU/mL)
4.1 ± 5.3
12.5 ± 14.1
 < 0.001
Driver gene mutation, N (%)
JAK2V617F
84 (95.5)
0 (0.0)
JAK2 exon 12 mutation
3 (3.4)
0 (0.0)
 None
1 (1.1)
0 (0.0)
Comorbidity, N (%)
 Hypertension
26 (28.9)
93 (47.9)
0.004
 Diabetes mellitus
58 (65.9)
123 (63.4)
0.789
 SGLT-2 inhibitor treatment
0 (0.0)
25 (12.9%)
 < 0.001
 Chronic kidney disease
20 (22.7)
50 (25.8)
0.583
 Kidney transplantation
0 (0.0)
7 (3.6)
0.071
 Current smoking
20 (21.7)
72 (37.1)
0.003
 COPD
2 (2.3)
17 (8.8)
0.044
 Sleep apnea
0 (0.0)
2 (1.0)
0.339
 CHF
0 (0.0)
13 (6.7)
0.013
 Dyslipidemia
22 (25.0)
64 (33.0)
0.177
 BMI ≥ 30
2 (2.3)
35 (18.0)
 < 0.001
 Malignancy
4 (4.5)
6 (3.1)
0.541
Treatments, N (%)
 Cytoreductive treatment
74 (84.1)
0 (0.0)
 < 0.001
 Phlebotomy
81 (92.0)
28 (14.4)
 < 0.001
 Anti-platelet therapy
87 (98.9)
22 (11.3)
 < 0.001
 Anticoagulation
0 (0.0)
15 (7.7)
0.007
FU (mo), median (range)
42.5 (0.3 − 140.5)
18.6 (0.1 − 137.9)
 < 0.001
Abbreviations: LDH lactate dehydrogenase, ULN upper limit of normal, EPO erythropoietin, SGLT2 sodium-glucose co-transporter-2, COPD chronic obstructive pulmonary disease, CHF congestive heart failure, BMI body mass index, FU follow-up
Table 2
Fine and Gray regression analysis of the risk factors for thrombotic vascular events in patients with JAK2 unmutated erythrocytosis
Univariate analysis
Multivariate analysis
HR
95% CI
P
HR
95% CI
P
Age > 60 yrs
4.17
1.78 − 9.75
0.001
2.67
0.64–11.21
0.179
Male
0.74
0.22 − 2.48
0.622
 − 
 − 
 − 
WBC > 12.0 × 109/L
0.72
0.10 − 5.35
0.750
 − 
 − 
 − 
Neutrophil/Lymphocyte > 4
0.70
0.10–5.19
0.728
 − 
 − 
 − 
Monocyte > 1.0 × 109/L
4.95
1.46–16.72
0.010
3.22
0.62–16.63
0.164
Hematocrit > 60%
2.13
0.50–9.04
0.307
 − 
 − 
 − 
LDH > 1.5 × ULN
4.57
0.62–33.99
0.138
 − 
 − 
 − 
Transferrin saturation < 20%
3.61
1.22–10.67
0.020
1.10
0.32–3.87
0.879
Serum ferritin > 150 ng/mL
0.10
0.01–0.76
0.026
0.07
0.01–0.56
0.012
Serum EPO > 19.5 mIU/mL
0.79
0.18–3.99
0.747
 − 
 − 
 − 
Hypertension
1.25
0.56–2.81
0.597
 − 
 − 
 − 
Diabetes mellitus
2.87
1.26–6.55
0.012
4.93
1.26–19.31
0.022
SGLT-2 inhibitor
2.26
0.90–5.68
0.084
 − 
 − 
 − 
Chronic kidney disease
1.65
0.72–3.79
0.234
 − 
 − 
 − 
Smoking
1.07
0.39–2.94
0.899
 − 
 − 
 − 
COPD
3.60
1.43–9.07
0.007
11.88
2.59–54.55
0.001
CHF
1.28
0.30–5.45
0.737
 − 
 − 
 − 
Dyslipidemia
2.03
0.91–4.53
0.082
 − 
 − 
 − 
BMI ≥ 30
0.97
0.33–2.84
0.954
 − 
 − 
 − 
Concurrent malignancy
1.27
0.17–9.40
0.817
 − 
 − 
 − 
Phlebotomy
1.11
0.38–2.35
0.855
 − 
 − 
 − 
Abbreviations: HR hazard ratio, WBC white blood cell, LHD lactate hydrogenase, ULN upper limit of normal, EPO erythropoietin, SGLT-2 sodium-glucose co-transporter-2, COPD chronic obstructive pulmonary disease, CHF congestive heart failure, BMI body mass index
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