Impact of anemia on real-world outcomes in myelofibrosis: A propensity-matched analysis.

K Kanishka Uttam Chandani (4Mayo Clinic, Hematology-Oncology, Phoenix, United States) J Jatin Thukral (Landmark Medical Center, Woonsocket, Cumberland, Rhode Island, United States) R Riya Shah (New York Medical College, Landmark Medical Center, Woonsocket, RI) V Vida Tajiknia (1New York Medical College/Landmark Medical Center, Hematology-Oncology, Woonsocket, United States) P Pyush Moudgil (Gian Sagar Medical College, Ramnagar, Punjab, India) S Sooraj Srirangadhamu Gopu (1New York Medical College/Landmark Medical Center, Hematology-Oncology, Woonsocket, United States) N Nikhil Thukral (Pt. Deendayal Upadhyaya National Institute For Persons with Physical Disabilities, Oakland, California, United States) A Amanda Lussier (1New York Medical College/Landmark Medical Center, Hematology-Oncology, Woonsocket, United States) A Ashish Sharma A Apoorva Kondapally (6Asante Rogue Regional Medical Center, Medford, United States) J Juhi R. Salunke (Mayo Clinic Arizona, Phoenix, AZ) V Vishnu Yanamaladoddi (Creighton University School of Medicine-Phoenix, Phoenix, AZ) M Muhammad Ali Khan U Usman Ilyas (1Mayo Clinic, Phoenix, United States) S Sarah Elizabeth Monick (Mayo Clinic Arizona, Phoenix, AZ) A Ahmed Nadeem (1New York Medical College/Landmark Medical Center, Hematology-Oncology, Woonsocket, United States) J Jeanne M. Palmer (Division of Hematology, Mayo Clinic Arizona, Scottsdale, AZ)

Abstract

e18609 Background: Anemia is a frequent complication of myelofibrosis (MF) and is embedded in widely used prognostic systems, yet contemporary real-world estimates of its association with long-term survival and leukemic transformation remain limited. We evaluated the impact of baseline anemia (hemoglobin [Hb] <10 g/dL) on overall survival (OS) and risk of transformation to acute myeloid leukemia (AML) in adults with MF. Methods: We performed a retrospective cohort study using the TriNetX Research Network, identifying adults (≥18 years) with myelofibrosis and stratifying them by anemia status at index (Hb <10 g/dL). Patients with the outcome of interest prior to each analytic window were excluded. To minimize confounding, cohorts were 1:1 propensity score–matched using nearest-neighbor matching with a caliper of 0.1 pooled standard deviations of the logit of the propensity score, adjusting for demographic factors, comorbidities, iron supplementation, leukocyte count, and platelet count. Balance was assessed using standardized mean differences <0.1. The primary outcome was all-cause mortality and the secondary outcome was transformation to AML, assessed at 1, 3, and 5 years. Risk estimates were calculated, and survival analyses were performed using Kaplan–Meier curves and Cox proportional hazards models, with statistical significance defined as a two-sided p<0.05. Results: After matching, 18,504 patients with MF were identified, of which 51.6% were females and 48.3% were males. The mortality rate in patients with anemia was higher than in those without at years 1, 3, and 5: 21.4%, 33.2%, and 39%, respectively, versus 5.4%, 12%, and 16.9%, respectively. The prevalence of transformation to AML was also higher in patients with anemia at 3.7%, 4.9%, and 5.3% at years 1, 3, and 5, respectively, versus 0.1%, 0.3%, and 0.4% in patients without anemia at those same time points. The HR for mortality in MF patients with anemia when compared to those without anemia at years 1, 3, 5 was statistically significant at 4.57 (95% CI 4.14-5.05, log-rank p<0.01), 3.51 (95% CI 3.28-3.76, log-rank p<0.01), and 3.04 (95% CI 2.87-3.23, log-rank p<0.01) respectively. The HR for transformation to AML in patients with MF with anemia versus those without anemia was statistically significant at years 1, 3 and 5, with HRs of 34.96 (95% CI 19.17-63.75, log-rank p<0.01) 20.75 (95% CI 13.97-30.83, log-rank p<0.01) and 17.07 (95% CI 12.11-24.07, log-rank p<0.01), respectively. Conclusions: In this large, propensity-matched real-world EHR analysis, baseline Hb <10 g/dL was associated with substantially worse OS and a markedly higher risk of AML transformation through 5 years. These findings support anemia as a pragmatic risk marker to inform risk-adapted monitoring, supportive care, and therapeutic decision-making in MF.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (17)

K

Kanishka Uttam Chandani

4Mayo Clinic, Hematology-Oncology, Phoenix, United States

J

Jatin Thukral

Landmark Medical Center, Woonsocket, Cumberland, Rhode Island, United States

R

Riya Shah

New York Medical College, Landmark Medical Center, Woonsocket, RI

V

Vida Tajiknia

1New York Medical College/Landmark Medical Center, Hematology-Oncology, Woonsocket, United States

P

Pyush Moudgil

Gian Sagar Medical College, Ramnagar, Punjab, India

S

Sooraj Srirangadhamu Gopu

1New York Medical College/Landmark Medical Center, Hematology-Oncology, Woonsocket, United States

N

Nikhil Thukral

Pt. Deendayal Upadhyaya National Institute For Persons with Physical Disabilities, Oakland, California, United States

A

Amanda Lussier

1New York Medical College/Landmark Medical Center, Hematology-Oncology, Woonsocket, United States

A

Ashish Sharma

A

Apoorva Kondapally

6Asante Rogue Regional Medical Center, Medford, United States

J

Juhi R. Salunke

Mayo Clinic Arizona, Phoenix, AZ

V

Vishnu Yanamaladoddi

Creighton University School of Medicine-Phoenix, Phoenix, AZ

M

Muhammad Ali Khan

U

Usman Ilyas

1Mayo Clinic, Phoenix, United States

S

Sarah Elizabeth Monick

Mayo Clinic Arizona, Phoenix, AZ

A

Ahmed Nadeem

1New York Medical College/Landmark Medical Center, Hematology-Oncology, Woonsocket, United States

J

Jeanne M. Palmer

Division of Hematology, Mayo Clinic Arizona, Scottsdale, AZ