Real World Data on Unique Challenges and Outcomes of Older Patients with AML from Resource Limited Settings: Indian Acute Leukemia Research Database (INwARD) of the Hematology Cancer Consortium (HCC)

Singh, Suvir

Oral and Poster Abstracts
613. Acute Myeloid Leukemias: Clinical and Epidemiological: Poster II

Acute Myeloid Malignancies, AML, Diseases, Myeloid Malignancies

Suvir Singh, DM¹^*, Sharon Lionel, MBBS, MD, DM²^*, Hasmukh Jain, MD, DM³^*, Lingaraj Nayak, MD, DM³^*, Sushil Selvarajan, MD, DM²^*, Prasanna Samuel, MSc, PhD⁴^*, Rayaz Ahmed, MD, DM⁵, Narendra Agrawal, MD, DM⁵^*, Pavitra DS, MD⁶^*, Poojitha Byreddy, MD⁶^*, Joseph M John, MD, DM⁶^*, Kundan Mishra, MD, DM, MNAMS⁷^*, Suman Kumar, MD, DM⁷^*, Mobin Paul, MBBS, MD, DM⁸^*, Latha Abraham, MD⁹^*, Smita Kayal, MD, DM¹⁰^*, Prasanth Ganesan, MD, DM¹⁰^*, Chepsy C Philip, MD, MBBS, DM¹¹, Damodar Das, MD, DNB¹²^*, Sreeraj Vasudevan, DM¹³^*, Prashant Mehta, MD, DM¹⁴^*, Jayachandran PK, MD, MRCP, DM¹⁵^*, Vineetha Raghavan, MD¹⁶^*, Stalin Chowdary Bala, MBBS, MD, DM, DNB¹⁷^*, Bharath Ram S, MBBS, DNB¹⁸, Swaratika Majumdar, MD, DM¹⁹^*, Akhil Rajendra, MD³^*, Om Prakash, MSc⁴^*, Barath U²⁰^*, Bhausaheb Bagal, MD, DM³^*, Aby Abraham, MD, DM²^*, Rajan Kapoor, MD, DM⁷^*, Dinesh Bhurani, MD, FRCPA⁵^*, Manju Sengar, MD, DM ³ and Vikram Mathews, MD, DM²

¹Department of Clinical Haematology, Dayanand Medical College and Hospital, Ludhiana, India
²Department of Haematology, Christian Medical College, Vellore, India
³Department of Medical Oncology, Tata Memorial Centre, Mumbai, India
⁴Department of Biostatistics, Christian Medical College, Vellore, India
⁵Department of Haemato-Oncology & BMT, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
⁶Department of Clinical Haematology, Christian Medical College, Ludhiana, India
⁷Department of Clinical Haematology, Army Hospital (Research & Referral), New Delhi, India
⁸Clinical Haematology and Haemato-oncology, Rajagiri Hospital, Aluva, India
⁹Department of Pathology, Rajagiri Hospital, Aluva, IND
¹⁰Department of Medical Oncology, Jawaharlal Institute of Postgraduate Medical Education & Research (JIPMER), Puducherry, India
¹¹Regional Advanced Centre for (Stem Cell) Transplant, Hemato-Lymphoid Oncology & Marrow Diseases, Believers Church Medical College Hospital, Thiruvalla, India
¹²Department of Clinical Hematology, Gauhati Medical College & Hospital, Guwahati, India
¹³Department of Medical Oncology and Haematology, Amala Institute of Medical Sciences, Thrissur, India
¹⁴Department of Medical Oncology and BMT, Asian Institute of Medical Sciences, Faridabad, India
¹⁵Department of Medical Oncology, Cancer Institute (WIA), Chennai, Tamilnadu, India
¹⁶Department of Clinical Hematology and Medical Oncology, Malabar Cancer Centre, Thalassery, India
¹⁷Department of Medical Oncology, Nizam's Institute of Medical Sciences, Hyderabad, India
¹⁸Department of Hematology, Mazumdar Shaw Medical Center, Narayana Health City, Bangalore, India
¹⁹Department of Medical Oncology, Ramaiah Medical College, Bengaluru, India
²⁰Department of Biostatistics, Christian Medical College, Vellore, Vellore, India

Despite significant advances in the treatment of acute myeloid leukemia (AML), outcomes in older patients continue to be suboptimal, due to a combination of adverse disease characteristics and increasing prevalence of co-morbidities. This challenge is further magnified in resource-limited settings where logistical and financial barriers often preclude effective therapy. In addition, a significant number of patients do not undergo any evaluation after diagnosis, resulting in very little real-world data on treatment outcomes in this cohort. We present data on epidemiology and treatment patterns in older patients with AML from the Indian Acute Leukemia Research Database [INwARD] established by Hematology Cancer Consortium (HCC).

Retrospective data from 17 centres was collected to include patients older than 55 years diagnosed between January 2018 and April 2021. A lower age cut off of 55 years was used based on previous data indicating adverse physiologic characteristics comparable to a 65 year old individual in the West. No exclusion criteria were specified. The primary objectives were to ascertain the proportion of patients receiving therapy and one-year overall survival among treated patients. Patient status was assessed as on March 31, 2022.

A total of 733 patients (M:F=1.48) were included in this study, of which only 339 (46%) patients underwent further evaluation and treatment. The most common reasons for not initiating treatment were to begin evaluation at another centre (37%) and financial constraints(13%). Among treated patients, the median age at diagnosis was 63 years (IQR, 59-69), with 130 (40.2%) having an ECOG performance score ≥ 2 and 203 (60.4%) having at least one comorbidity. No differences in baseline attributes were noted among treated or untreated patients.(Table 1) Of the 339 patients who received treatment, initial therapy comprised hypomethylating agents (HMA) in 247 (72.8%) patients, standard or modified 7+3 regimen in 64 (18.8%) and other intensive regimens in 2 (0.59%) patients. Infections requiring treatment were diagnosed in 117 (40.3%) patients, with 36 (13.79%) requiring intensive care. A second induction was required in 26 patients, of which 5(19%) received intensive chemotherapy and 8 (30%) received HMA. Early mortality (within 60 days of diagnosis) was noted in 58(20.1%) out of 288 evaluable patients at this time point. Poor performance status baseline was significantly associated with early mortality(p=0.015) with no effect of age or associated co-morbidities. Among patients who died within 60 days, a significantly higher white cell count was observed at baseline (median, 20310 vs 7200/mm³,p=0.005).

Complete remission (CR) was achieved in 24(36%) patients after intensive chemotherapy. Among 146(59%) evaluable patients receiving HMA, 62(42%) achieved CR at any time point after therapy. The probability of achieving CR significantly decreased with increasing age (p=0.037). Allogeneic stem cell transplant was utilized for only 11 (3.2%) patients in the treated cohort.

After a median follow up of 5 months (IQR 1.4 to 14.6 months), 102 (32.2%) patients were lost to follow up and only 72 (26%) had completed treatment. For survival analysis, patients lost to follow up were considered dead at the date of last follow up. At the end of one year, probability of survival was 32.9%, (Figure 1) with the median overall survival being 190 days (95% CI, 143 to 236) in the treated cohort. Among 145 patients with available data, the most common cause of death was progressive disease (52%), followed by infectious complications(29%).

Conclusions

Our data highlights dual challenges of low rates of treatment initiation and significant treatment discontinuation within one year in patients older than 55 years of age with AML in India. Poor disease biology is also highlighted by low rates of CR irrespective of initial therapy and low probability of survival at one year. Financial challenges emerge as major modifiable factors leading to incomplete treatment. This large registry dataset indicates the need for more effective, affordable and safer treatment options for this group of patients.

Disclosures: No relevant conflicts of interest to declare.

See more of: 613. Acute Myeloid Leukemias: Clinical and Epidemiological: Poster II
See more of: Oral and Poster Abstracts

<< Previous Abstract | Next Abstract >>

^*signifies non-member of ASH

2716 Real World Data on Unique Challenges and Outcomes of Older Patients with AML from Resource Limited Settings: Indian Acute Leukemia Research Database (INwARD) of the Hematology Cancer Consortium (HCC)