The baseline comorbidity burden affects survival in elderly patients with acute myeloid leukemia receiving hypomethylating agents: Results from a multicentric clinical study

Author:

Marconi Giovanni12ORCID,Candoni Anna34,Di Nicola Roberta2,Sartor Chiara2,Parisi Sarah2,Abbenante Mariachiara5,Nanni Jacopo2,Cristiano Gianluca2,Zannoni Letizia2,Lazzarotto Davide3,Giannini Benedetta1,Baldazzi Carmen2,Bandini Lorenza2,Ottaviani Emanuela6,Testoni Nicoletta2,Bezzi Chiara Di Giovanni7,Abd‐alatif Rania7,Ciotti Giulia8ORCID,Fanin Renato3,Martinelli Giovanni1,Paolini Stefania6,Ricci Paolo7,Cavo Michele26,Papayannidis Cristina6,Curti Antonio6

Affiliation:

1. IRCCS Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori “Dino Amadori” (IRST) Meldola Italy

2. Department of Experimental, Diagnostic and Specialty Medicine University of Bologna Bologna Italy

3. Division of Hematology University Hospital‐ASUFC Udine Italy

4. Section of Haematology, Department of Medical and Surgical Sciences University of Modena and Reggio Emilia Modena Italy

5. Department of Haematology and Stem Cell Transplantation Unit IRCCS “Casa Sollievo della Sofferenza” Hospital San Giovanni Rotondo Italy

6. IRCCS Azienda Ospedaliero‐Universitaria di Bologna Istituto di Ematologia “Seràgnoli” Bologna Italy

7. Assistenza Domiciliare Ail Bologna Bologna Italy

8. Onco Hematology, Department of Oncology–Veneto Institute of Oncology IOV–IRCCS Padua Italy

Abstract

AbstractBackgroundIn older patients with acute myeloid leukemia (AML), the definition of fitness, prognosis, and risk of death represents an open question.MethodsIn the present study, we tested the impact on survival of disease‐ and patient‐related parameters in a large cohort of elderly AML patients homogeneously assigned to treatment with hypomethylating agents (HMAs).ResultsIn 131 patients with a median age of 76 years, we confirmed that early response (<0.001) and biology‐based risk classification (p = 0.003) can select patients with better‐predicted survival. However, a full disease‐oriented model had limitations in stratifying our patients, prompting us to investigate the impact of baseline comorbidities on overall survival basing on a comorbidity score. The albumin level (p = 0.001) and the presence of lung disease (p = 0.013) had a single‐variable impact on prognosis. The baseline comorbidity burden was a powerful predictor of patients' frailty, correlating with increased incidence of adverse events, especially infections, and predicted overall survival (p < 0.001).ConclusionThe comorbidity burden may contribute to impact prognosis in addition to disease biology. While the therapeutic armamentarium of elderly AML is improving, a comprehensive approach that combines AML biology with tailored interventions to patients' frailty is likely to fully exploit the anti‐leukemia potential of novel drugs.

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

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