Compartilhar
Informação da revista
Vol. 46. Núm. S4.
HEMO 2024
Páginas S446 (outubro 2024)
Vol. 46. Núm. S4.
HEMO 2024
Páginas S446 (outubro 2024)
Acesso de texto completo
IS FERRITIN A GOOD PREDICTOR OF SURVIVAL ACROSS ALL RISK LEVELS IN MYELODYSPLASTIC NEOPLASMS? INSIGHTS FROM A STRATIFIED COHORT STUDY
Visitas
349
PRC Passosa, RDB Diasa,b, SCC Carneiroa, IB Nogueiraa, RC Venânciob, JVG Gamaa, JMGF Limaa, ACG Lavora, RF Pinheiroa,b,c, SMM Magalhãesa,c
a Center for Research and Drug Development (NPDM), Universidade Federal do Ceará (UFC), Fortaleza, Brazil
b Postgraduate program in Pathology, Universidade Federal do Ceará (UFC), Fortaleza, Brazil
c Department of Clinical Medicine, Universidade Federal do Ceará (UFC), Fortaleza, Brazil
Este item recebeu
Informação do artigo
Suplemento especial
Este artigo faz parte de:
Vol. 46. Núm S4

HEMO 2024

Mais dados
Introduction

Myelodysplastic neoplasms (MDS) are a heterogeneous group of hematologic malignancies characterized by ineffective hematopoiesis. The Revised International Prognostic Scoring System (IPSS-R) is widely used to stratify MDS patients into different risk categories, guiding treatment decisions and predicting survival outcomes. Ferritin has been implicated in the pathophysiology of MDS. Elevated ferritin levels may reflect iron overload, inflammation, or both. However, the prognostic value of ferritin across different risk levels in MDS remains unclear.

Objective

This study aims to evaluate the prognostic significance of ferritin in patients with MDS, stratified by IPSS-R risk categories.

Methods

A retrospective cohort study at a single reference center reviewed patients diagnosed with MDS between 2004 and 2024. The study included patients with available clinical outcomes and ferritin values. Missing data for other variables were addressed using the classification and regression tree analysis (CART) Multiple imputation method, following confirmation of non-completely at random missingness through Little's test. Patients were stratified into two groups based on IPSS-R scores: ’high risk’, comprising those categorized as ’High’ or ’Very High’, and ’low risk’, encompassing all other IPSS-R categories. The CART method was utilized to determine the optimal ferritin cut-off for predicting overall survival, applying Martingale residuals from a univariate Cox model adjusted for ferritin. Kaplan-Meier curves were subsequently generated to assess survival rates at 1, 3, and 5 years post-diagnosis for patients below and above the ferritin cut-off, with comparisons conducted using log-rank tests. All statistical analyses were performed using R software, leveraging the ’mice’ package for imputation and the ’survfit’ package for survival analysis.

Results

A total of 143 patients with available ferritin values and clinical outcomes were included in the study. Using the CART method, an optimal ferritin cut-off of 888.5 was determined, classifying the cohorts into “High Ferritin” (32 patients) and “Low Ferritin” (111 patients). Kaplan-Meier 1, 3, and 5-year survival curves were constructed for both the ’high risk’ (17 patients) and ’low risk’ (126 patients) groups. Among the ’low risk’ patients, those with low ferritin levels, compared to those with high ferritin levels, had significantly higher 3 (78.6% vs 44.3%, p < 0.001) and 5-year (57.3% vs. 34.8%, p < 0.001) survival rates, although no difference was seen in 1-year rates (p = 0.45). Within the ’high risk’ group, no difference between the high and low ferritin groups was seen in 1, 3, or 5-year survival rates (p = 0.26, 0.066, and 0.066, respectively).

Discussion

Ferritin, a marker of iron overload and inflammation, plays a role in the pathophysiology of MDS. Our study shows that ferritin levels predict long-term survival in low-risk MDS patients, consistent with previous studies, but are less predictive in high-risk patients. This suggests ferritin's impact may be overshadowed by other factors in high-risk MDS.

Conclusion

Ferritin level at diagnosis is a good predictor of long-term survival for non-high risk MDS patients, but its efficacy in predicting outcomes for high-risk patients and general short-term survival is less evident.

O texto completo está disponível em PDF
Baixar PDF
Idiomas
Hematology, Transfusion and Cell Therapy
Opções de artigo
Ferramentas