-Author name in bold denotes the presenting author
-Asterisk * with author name denotes a Non-ASH member
Clinically Relevant Abstract denotes an abstract that is clinically relevant.

PhD Trainee denotes that this is a recommended PHD Trainee Session.

Ticketed Session denotes that this is a ticketed session.

1619 Poor Correlation Between DIPSS and Passamonti Prognostic Risk Scores for Post Polycythemia Vera and Essential Thrombocythemia Myelofibrosis

Myeloproliferative Syndromes: Clinical
Program: Oral and Poster Abstracts
Session: 634. Myeloproliferative Syndromes: Clinical: Poster I
Saturday, December 5, 2015, 5:30 PM-7:30 PM
Hall A, Level 2 (Orange County Convention Center)

Maria Coakley, MD1*, Krisstina L. Gowin, DO2*, Heidi E. Kosiorek, MS3* and Ruben A. Mesa3

1Cork University Hospital, Wilton, Cork, Ireland
2Hematology/Oncology, Mayo Clinic Arizona, Scottsdale, AZ
3Mayo Clinic, Scottsdale, AZ

Background: Post polycythemia vera  (PV) and essential thrombocytosis (ET) myelofibrosis (MF), like primary MF (PMF), are heralded by splenomegaly, cytopenias, heavy symptom burden, and decreased overall survival. Risk prognostication tools, including the dynamic international prognostic scoring system (DIPSS) and the Passamonti risk score for post-PV MF (Passamonti et al. Blood 2010, 2008), are helpful to estimate survival and guide therapeutic decision-making. For Post-PV/ET MF, it is unknown if DIPSS correlates with the Passamonti risk score. Here we evaluate the correlation between the two available risk prognostication tools in post-PV/ET MF.

Methods:

Retrospective chart review conducted for patients with post-PV/ET MF seen between 2000-2012. Descriptive statistics were used to describe patient demographic and clinical variables in post PV/ET patients. 

DIPSS Score: calculated at time of last follow up: 1 point for age >65, 2 points for hemoglobin <10g/dL, 1 point for leukocytes >25 x 109, 1 point for circulating blasts 1% and 1 point for constitutional symptoms. Risk group was assigned: low-risk (0 adverse points), intermediate-1 risk (1 adverse point), intermediate-2 risk (2-3 adverse points) and high-risk (4-6 adverse points).

Passamonti Risk Scores: calculated at time of last follow up: with 1 point assigned for hemoglobin level less than 100 g/L (10 g/dL), platelet count less than 100 x10 (9)/L, and/or leukocyte count more than 30x10(9)/L.

Cross-tabulation of DIPSS score versus Passamonti risk score at time of last follow-up was conducted and the percent agreement was described.  Spearman correlation coefficient between DIPSS score at follow-up with Passamonti score was conducted.

Results:

Patients:

Sixty-one (58%) post-ET and 44 (42%) post-PV patients were identified, total N=105. Male to Female ratio was 1:1. Median age was 65 (range 25-87). JAK2 V617F present in 68 (65.4%). Median hemoglobin was 10.9 g/dL (range 5.3-17.0), median platelet count 287 x 10(range 20-1864), and median WBC was 11.1x 109 (range 1.1-165).

Risk prognostication:

When DIPSS risk scores were applied 11 patients were low, 48 patients were Intermediate-1, 31 patients were Intermediate-2, and 10 patients were high. When Passamonti risk scores were applied 57 patients received score of 0, 31 patients scored 1, 9 patients scored 2, and 3 patients scored 3.

DIPSS and Passamonti risk score agreement:

The overall agreement between DIPSS and Passamonti risk scores was low, with 24% of cases in agreement. Spearman correlation:  Rho=0.451; p<0.001.See Table #1 with agreement seen in highlighted cells.

Table #1: DIPSS and Passamonti Agreement

 

Passamonti Risk Score

DIPSS

0

1

2

3

Total

Low

        9 (75%)

3 (25%)

0

0

12

Int-1

31 (77.5%)

      8 (20%)

1 (2.5%)

0

40

Int-2

17 (43.6%)

14 (35.9%)

6 (15.4%)

2 (5.1%)

39

High

0

6 (75%)

1 (12.5%)

    1 (12.5%)

8

Total

57 (57.6%)

31 (31.3%)

8 (8%)

3 (3%)

100

Conclusion:

Post PV/ET MF represents a unique clinical entity and risk prognostication schemes developed for PMF, such as DIPSS, may not represent accurate prognosis estimation in this subgroup of MF. When DIPSS and Passamonti risk scores were applied to same post PV/ET group, agreement was poor at 24%. Additionally, DIPSS was more likely to assign patients to high-risk category than Passamonti. Further studies are needed to evaluate the DIPSS and Passamonti prognostic risk score application to the post PV/ET MF population.

Disclosures: Mesa: Genentech: Research Funding ; Pfizer: Research Funding ; Promedior: Research Funding ; CTI Biopharma: Research Funding ; Gilead: Research Funding ; Novartis Pharmaceuticals Corporation: Consultancy ; Incyte Corporation: Research Funding ; NS Pharma: Research Funding .

*signifies non-member of ASH