| Literature DB >> 22084670 |
Brady L Stein1, Alfred Rademaker, Jerry L Spivak, Alison R Moliterno.
Abstract
We previously found that gender influenced the JAK2 V617F allele burden, but it is unknown whether this gender difference in molecular epidemiology influences complications in the myeloproliferative neoplasms (MPNs). Historically, vascular complications represented the most common cause of mortality in polycythemia vera and essential thrombocytosis and contributed to morbidity in primary myelofibrosis. To determine the influence of gender on vascular complications, we retrospectively analyzed associations between gender and vascular complications. Despite their younger age, less prevalent dyslipidemia or smoking history, lower white blood counts, and lower JAK2 V617F allele burden, women had higher rates of abdominal venous thrombosis and comparable rates of all vascular complications. Vascular risk is currently not easily stratified by MPN-disease burden or traditional risk factors. Our analysis contributes to growing literature emphasizing gender differences in the MPN and further supports the important impact of individual and host variation on MPN clinical manifestations, and especially vascular risk.Entities:
Year: 2011 PMID: 22084670 PMCID: PMC3200304 DOI: 10.1155/2011/874146
Source DB: PubMed Journal: Thrombosis ISSN: 2090-1488
Baseline characteristics in the MPN cohort, by gender.
| Female | Male |
| |
|---|---|---|---|
|
| |||
|
| 164 | 106 | 0.001 |
| ET | 43 (26) | 18 (17) | |
| PV | 104 (64) | 57 (54) | |
| MF | 17 (10) | 31 (29) | |
|
| |||
|
| |||
|
| 50 (37–61) | 56 (48–67) | 0.001 |
| ET | 50 (36–59) | 48 (31–60) | |
| PV | 48 (34–61) | 56 (50–66) | |
| MF | 58 (51–63) | 61 (51–67) | |
|
| |||
|
| |||
|
| 5 (3–11) | 5 (1–9) | 0.04 |
| ET | 4 (2–10) | 3 (1–9) | |
| PV | 6 (3–12) | 4 (1–8) | |
| MF | 6 (3–12) | 6 (2–11) | |
|
| |||
|
| 2 missing | ||
|
| 53 (33%) | 44 (42%) | 0.15 |
| ET | 13 | 4 | |
| PV | 35 | 29 | |
| MF | 5 | 11 | |
|
| |||
|
| 1 missing | ||
|
| 7 (4%) | 8 (8%) | 0.28 |
| ET | 0 | 0 | |
| PV | 5 | 6 | |
| MF | 2 | 2 | |
|
| |||
|
| |||
|
| 15 (9) | 26 (25) | 0.001 |
| ET | 2 | 3 | |
| PV | 12 | 15 | |
| MF | 1 | 8 | |
|
| |||
|
| |||
|
| 35 (22) | 40 (39) | 0.005 |
| ET | 12 | 4 | |
| PV | 17 | 25 | |
| MF | 6 | 11 | |
|
| |||
|
| |||
|
| 9.5 (7.3, 14.8) | 13.2 (8.3, 21.4) | 0.02 |
| ET | 8 (6.8, 9) | 8.7 (6–10.8) | |
| PV | 11.1 (7.5,18.4) | 13.9 (9.6, 20) | |
| MF | 25 (6.9, 49) | 15.9 (7.9, 26.6) | |
|
| |||
|
| |||
|
| 12.9 (11.6, 14) | 13.2 (11.4, 14.4) | 0.73 |
| ET | 13.7 (12.7, 14.2) | 14.7 (13.2–15.1) | |
| PV | 12.8 (11.6, 13.8) | 13.6 (12.6–14.4) | |
| MF | 10.6 (9.9, 12.5) | 10 (9, 11.8) | |
|
| |||
|
| |||
|
| 527 (333, 678) | 450 (246–673) | 0.09 |
| ET | 568 (499–782) | 476 (412–654) | |
| PV | 526 (340–667) | 502 (300–700) | |
| MF | 214 (133–330) | 272 (166, 477) | |
|
| |||
|
| |||
|
| 53 (42–69) | 63 (46–83) | 0.05 |
| ET | 34 (22–44) | 44 (34–48) | |
| PV | 64 (50–71) | 71 (55–88) | |
| MF | 82 (55–100) | 57 (48–77) | |
|
| |||
|
| 0.1 | ||
| Heterozygous | 86 (53%) | 45 (42%) | |
| Homozygous | 77 (47%) | 61 (58%) | |
|
| |||
|
| |||
|
| 81 (59) | 69 (69) | 0.12 |
| ET | 26 | 11 | |
| PV | 50 | 41 | |
| MF | 5 | 17 | |
|
| |||
|
| |||
|
| 17 (10%) | 7 (7%) | 0.28 |
| ET | 4 | 3 | |
| PV | 13 | 4 | |
| MF | 0 | 0 | |
|
| |||
|
| |||
|
| 48 (30%) | 28 (27%) | 0.58 |
| ET | 11 | 3 | |
| PV | 33 | 17 | |
| MF | 4 | 8 | |
|
| |||
|
| |||
|
| 5 (3%) | 3 (3%) | 0.99 |
| ET | 0 | 1 | |
| PV | 4 | 0 | |
| MF | 1 | 2 | |
|
| |||
|
| |||
|
| 11 (7%) | 4 (4%) | 0.42 |
| ET | 4 | 1 | |
| PV | 6 | 1 | |
| MF | 1 | 2 | |
*7 women with missing data.*4 men with missing data.**27 women with missing data.**6 men with missing data.
Major and minor vascular events, by gender.
| Women ( | Men ( |
| |
|---|---|---|---|
| Vascular event history, number (%) | 44 (27) | 19 (18) | 0.09 |
| ET | 8 (18) | 5 (26) | |
| PV | 31 (71) | 9 (47) | 0.06 |
| MF | 5 (11) | 5 (26) | |
|
| |||
| Vascular events, number |
|
| |
| Major Venous Events, number (%) |
|
| 0.57 |
|
|
|
| 0.47 |
| ET | 1 | 0 | |
| PV | 6 | 4 | |
| MF | 1 | 1 | |
|
|
|
| 0.26 |
| ET | 2 | 2 | |
| PV | 10 | 1 | |
| MF | 4 | 1 | |
|
|
|
| 0.61 |
| ET | 0 | 1 | |
| PV | 1 | 0 | |
| MF | 0 | 0 | |
| Major Arterial Events, number (%) |
|
| 0.77 |
|
|
|
| 0.14 |
| ET | 3 | 1 | |
| PV | 2 | 3 | |
| MF | 0 | 1 | |
|
|
|
| 0.31 |
| ET | 1 | 0 | |
| PV | 5 | 1 | |
| MF | 0 | 0 | |
| Minor events, number (%) |
|
| 0.73 |
|
|
|
| 0.81 |
| ET | 1 | 0 | |
| PV | 7 | 1 | |
| MF | 0 | 2 | |
|
|
|
| 0.6 |
| ET | 1 | 0 | |
| PV | 1 | 1 | |
| MF | 1 | 1 | |
|
|
|
| 0.42 |
| ET | 2 | 2 | |
| PV | 2 | 1 | |
| MF | 0 | 0 | |
Figure 1Major and minor vascular events through the course of the disease. The timing of vascular complication was known for 13 men and 41 women. In both men and women, vascular complications often lead to an official diagnosis of a myeloproliferative neoplasm (complication at year 0). Further, vascular complications predominantly occurred in the first decade of disease in both men and women. Of the 15 women with vascular complications at year 0, 9 had abdominal venous thrombosis.
Multivariable logistic regression.
| Vascular event history | Odds ratio |
| 95% CI: lower limit | 95% CI: upper limit |
|---|---|---|---|---|
| Female sex | 1.89 | 0.07 | 0.96 | 3.73 |
| PV compared to ET | 1.06 | 0.89 | .44 | 2.53 |
| MF compared to ET | 1.1 | 0.87 | .35 | 3.42 |
| Age at diagnosis | .99 | 0.61 | .97 | 1.01 |
| Dyslipidemia | 2.31 | 0.05 | 1.0 | 5.34 |
| Smoking history | .48 | 0.049 | .23 | 1.0 |
| White Blood Cell count | 1.0 | 0.66 | .98 | 1.03 |
| JAK2 V617F allele burden | 1.0 | 0.77 | .98 | 1.02 |