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Very early death within 30 days after diagnosis in patients with acute myeloid leukemia

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Abstract

Acute myeloid leukemia (AML) is a malignancy that requires immediate treatment. However, the factors that predict very early mortality are not well known. We retrospectively analyzed 70 patients who were newly diagnosed with AML at our institution between 2014 and 2020. Very early death within 30 days after the initial consultation with a hematologist occurred in eight patients, including seven men. They were older than 30-day survivors (70.5 vs. 47 years, P < 0.01). In addition, four patients with a low score on the Glasgow Coma Scale (GCS) at diagnosis died within 30 days, and half of the early death group died due to cerebral hemorrhage. We next tried to predict early death using a ROC curve. Age, hemoglobin (Hb), estimated glomerular filtration rate (eGFR) and the international normalized ratio of prothrombin time (PT-INR) all had an area under the curve of greater than 0.8 for predicting very early death. A multivariate analysis revealed that older age (OR = 1.14, P = 0.033), Hb (OR = 0.48, P = 0.05), and low GCS (OR = 140.0, P = 0.0073) were significantly associated with very early death. Further studies will be needed to confirm which patients are at high risk for early death and to improve the treatment strategy for such patients.

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Data availability

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

References

  1. Cancer Statistics. Cancer Information Service NCC, Japan (Vital Statistics of Japan, Ministry of Health, Labour and Welfare). https://ganjoho.jp/reg_stat/statistics/stat/cancer/index.html. Accessed Feb 21, 2022.

  2. Döhner H, Estey E, Grimwade D, et al. Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel. Blood. 2017;129(4):424–47.

    Article  Google Scholar 

  3. O’Donnell MR, Tallman MS, Abboud CN, et al. Acute myeloid leukemia version 3.2017 NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw. 2017;15(7):926–57.

    Article  Google Scholar 

  4. Grossmann V, Schnittger S, Kohlmann A, et al. A novel hierarchical prognostic model of AML solely based on molecular mutations. Blood. 2012;120(15):2963–72.

    Article  CAS  Google Scholar 

  5. Liu CJ, Hong YC, Kuan AS, et al. The risk of early mortality in elderly patients with newly diagnosed acute myeloid leukemia. Cancer Med. 2020;9(4):1572–80.

    Article  Google Scholar 

  6. Mendes FR, da Silva WF, de Melo RDB, et al. Predictive factors associated with induction-related death in acute myeloid leukemia in a resource-constrained setting. Ann Hematol. 2022;101(1):147–54.

    Article  CAS  Google Scholar 

  7. Ho G, Jonas BA, Li Q, Brunson A, Wun T, Keegan THM. Early mortality and complications in hospitalized adult californians with acute myeloid leukaemia. Br J Haematol. 2017;177(5):791–9.

    Article  Google Scholar 

  8. Sanz MA, Lo Coco F, Martín G, et al. Definition of relapse risk and role of nonanthracycline drugs for consolidation in patients with acute promyelocytic leukemia: a joint study of the PETHEMA and GIMEMA cooperative groups. Blood. 2000;96(4):1247–53.

    CAS  Google Scholar 

  9. Lou Y, Ma Y, Sun J, et al. Effectivity of a modified Sanz risk model for early death prediction in patients with newly diagnosed acute promyelocytic leukemia. Ann Hematol. 2017;96(11):1793–800.

    Article  CAS  Google Scholar 

  10. Minamiguchi H, Fujita H, Atsuta Y, et al. Predictors of early death, serious hemorrhage, and differentiation syndrome in Japanese patients with acute promyelocytic leukemia. Ann Hematol. 2020;99(12):2787–800.

    Article  CAS  Google Scholar 

  11. Walter RB, Estey EH. Selection of initial therapy for newly-diagnosed adult acute myeloid leukemia: limitations of predictive models. Blood Rev. 2020;44:100679.

    Article  Google Scholar 

  12. Walter RB, Othus M, Borthakur G, et al. Prediction of early death after induction therapy for newly diagnosed acute myeloid leukemia with pretreatment risk scores: a novel paradigm for treatment assignment. J Clin Oncol. 2011;29(33):4417–23.

    Article  Google Scholar 

  13. Teasdale G, Jennett B. Assessment of coma and impaired consciousness a practical scale. Lancet. 1974;2(7872):81–4.

    Article  CAS  Google Scholar 

  14. Singer M, Deutschman CS, Seymour CW, et al. The third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA. 2016;315(8):801–10.

    Article  CAS  Google Scholar 

  15. Kobayashi N, Maekawa T, Takada M, Tanaka H, Gonmori H. Criteria for diagnosis of DIC based on the analysis of clinical and laboratory findings in 345 DIC patients collected by the research committee on DIC in japan. Bibl Haematol. 1983;49:265–75.

    Google Scholar 

  16. Kanda Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transpl. 2013;48(3):452–8.

    Article  CAS  Google Scholar 

  17. Gupta V, Chun K, Yi QL, et al. Disease biology rather than age is the most important determinant of survival of patients >= 60 years with acute myeloid leukemia treated with uniform intensive therapy. Cancer. 2005;103(10):2082–90.

    Article  Google Scholar 

  18. Sekeres MA, Elson P, Kalaycio ME, et al. Time from diagnosis to treatment initiation predicts survival in younger, but not older, acute myeloid leukemia patients. Blood. 2009;113(1):28–36.

    Article  CAS  Google Scholar 

  19. Bertoli S, Bérard E, Huguet F, et al. Time from diagnosis to intensive chemotherapy initiation does not adversely impact the outcome of patients with acute myeloid leukemia. Blood. 2013;121(14):2618–26.

    Article  CAS  Google Scholar 

  20. Röllig C, Kramer M, Schliemann C, et al. Does time from diagnosis to treatment affect the prognosis of patients with newly diagnosed acute myeloid leukemia? Blood. 2020;136(7):823–30.

    Article  Google Scholar 

  21. Lin RJ, Elko TA, Perales MA, et al. End-of-life care for older AML patients relapsing after allogeneic stem cell transplant at a dedicated cancer center. Bone Marrow Transpl. 2019;54(5):700–6.

    Article  Google Scholar 

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Acknowledgements

The authors are grateful for the contributions of all of the participating patients, physicians, co-workers, and data managers at Jichi Medical University Saitama Medical Center.

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Authors

Contributions

MK designed the study, collected data, analyzed data, and wrote the manuscript. HN gave advice on the methods, analyzed data, and wrote the manuscript. YN, MK, JT, SK, NY, YM, KY, SM, AG, AT, MT, KK, SK and SK collected clinical data and revised the manuscript. YK designed the study, gave advice on the methods, wrote the manuscript, and was responsible for the project.

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Correspondence to Yoshinobu Kanda.

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On behalf of all the authors, the corresponding author states that there is no conflict of interest.

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Kusuda, M., Nakasone, H., Nakamura, Y. et al. Very early death within 30 days after diagnosis in patients with acute myeloid leukemia. Int J Hematol 117, 198–205 (2023). https://doi.org/10.1007/s12185-022-03482-x

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  • DOI: https://doi.org/10.1007/s12185-022-03482-x

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