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dc.contributor.authorSaint Pierre , Stephane-
dc.date.available2020-03-09-
dc.date.available2020-03-09T15:07:37Z-
dc.date.issued2019-04-22-
dc.identifier.urihttp://repositorioinstitucional.uea.edu.br//handle/riuea/2131-
dc.description.abstractABSTRACT Acute myeloid leukemia (AML) is a neoplasm of progenitor hematopoietic cells that results in loss of the ability to differentiate from the myeloid lineage, leading to insufficient generation of mature blood cells. LMA is a genetically heterogeneous disease, which occurs most commonly in adults, with increasing incidence with increasing age. The diagnosis, according to the World Health Organization - WHO, requires the presence of 20% of blasts in the bone marrow. It is a highly aggressive disease with a still very low survival rate despite chemotherapeutic treatment, with the exception of acute promyelocytic leukemia. The objective of this study is to characterize the clinical and epidemiological profile of AML patients in the State of Amazonas treated in HEMOAM. The study was retrospective, cross- sectional, including all patients diagnosed with AML between January 2013 and December 2017.were 194 patients diagnosed in this period, patients who were not treated exclusively in HEMOAM, and the medical records were not found were excluded. The median age of the population was 46 years, 70,94% were of the non-white race, the distribution between men and women 96:83.The most frequent clinical manifestations were asthenia (65.89%), other associated symptoms (50,28%), fever (48,55%), and bleeding (31,21%). The majority of the population (45.97%) had a performance status according to the ECOG score of (2). The most frequent FAB subtypes found in this work was M5 followed by M3.The median of hemoglobin was 8.4 (4.1 -14) g\/dl, with median VCM 89 (69.10 interval -115.8) fl. The median of the Leukocyte count was 11660\/mm3 and platelet median was 43000\/mm3. Median (%) peripheral blood blasts was 26% and the bone marrow 71%. With respect to the risk cytogenetic (68%) karyotypes are intermediate risk. In immunophenotyping was the most common marker CD13 being expressed (91,51%) of the cases. Of the findings 53,93% expressed aberrant antigens, with CD7 being most expressed in the T lymphoid line and CD19 in the B lymphoid line. A total of 5 patients were classified as acute bifenotypic leukemia (LAB). The most used treatment lineage in the adult was 3+7, in the children was the BFM 2004. A total of 134 patients were submitted to intensive therapy of which 74 entered in remission. Nine (9) of the patients underwent allogeneic hematopoietic stem cell transplantation. The rate of relapse and refractory were raised. The overall survival at 1 year was 31.28%. The death rate was 67.59%. The survival curves showed that better prognosis was related to the age below of 60 years (median 496dias; p-value < 0.0001; OR 0.2774), patient with AML de novo (median 264dias; p-value 0.0103; OR 0.3858).There was no statistically significant difference when comparing overall survival curves with the xii cytogenetics, the leukocytes more or less de100x10e3\/μ l, and patients who did or didn't BMT. Conclusion, the results obtained made it possible to obtain a profile of demographic and clinical features of AML in the Amazon, provide important tools for a possible development of surveillance systems. Keywords. Acute myeloid leukemia, haematological malignanciespt_BR
dc.languageporpt_BR
dc.publisherUniversidade do Estado do Amazonaspt_BR
dc.rightsAcesso Abertopt_BR
dc.rightsAtribuição-NãoComercial-SemDerivados 3.0 Brasil*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/br/*
dc.subjectLeucemia Mileoide agudapt_BR
dc.subjectNeoplasias hematológicaspt_BR
dc.titleCaracterização clínica e epidemiológica dos pacientes com diagnóstico de Leucemia Mieloide Aguda no Estado do Amazonas tratado no HEMOAMpt_BR
dc.typeDissertaçãopt_BR
dc.date.accessioned2020-03-09T15:07:37Z-
dc.contributor.advisor-co1Dhyani , Anamika-
dc.contributor.advisor1Marie, Adriana Malheiro Alle-
dc.contributor.referee1Costa, Allyson Guimarães da-
dc.contributor.referee1Latteshttp://lattes.cnpq.br/7531662673281014pt_BR
dc.contributor.referee2Tarragô, Andréa Monteiro-
dc.contributor.referee2Latteshttp://lattes.cnpq.br/4644326589690231pt_BR
dc.contributor.referee3Barros, Francisco Erivaldo Vidal-
dc.contributor.referee3Latteshttp://lattes.cnpq.br/3722691640950389pt_BR
dc.creator.Latteshttp://lattes.cnpq.br/9706811096858976pt_BR
dc.description.resumoRESUMO A Leucemia Mieloide Aguda (LMA) é uma neoplasia de células hematopoiéticas progenitoras que resulta na perda da capacidade de diferenciação da linhagem mieloide, e leva à geração insuficiente de células sanguíneas maduras. A LMA é uma doença geneticamente heterogênea, que ocorre mais comumente em adultos, com incidência crescente com o aumento da idade. O diagnóstico, segundo a Organização Mundial de Saúde – OMS, requer a presença de 20 % de blastos na medula óssea o no sangue periférico. É uma doença altamente agressiva com uma taxa de sobrevida ainda muito baixa apesar do tratamento quimioterápica, com exceção da leucemia promielocítica aguda. O objetivo deste estudo é a caracterização do perfil clínico e epidemiológico de pacientes com LMA no Estado do Amazonas tratados no HEMOAM. O estudo foi retrospectivo, tipo corte transversal, incluindo todos os pacientes diagnosticados com LMA entre Janeiro de 2013 até Dezembro de 2017. Foram 194 pacientes diagnosticados neste período, pacientes que não foram tratados exclusivamente no HEMOAM, e os prontuários não encontrados foram excluídos. A idade média da população foi de 46 anos, 70,94% eram da raça não branca, a distribuição entre homens e mulheres foi 96:83. Quanto à apresentação clínica ao diagnóstico, as manifestações clínicas mais frequentes foram astenia (65,89%), outros sintomas associados (50,28%), febre (48,55%),e sangramento(31,21%).A maioria da população de estudo (45,97%) tinha uma performance status segundo a classificação ECOG de (2).Os subtipos FAB mais frequente encontrados neste trabalho foi M5 seguido de M3.A mediana da hemoglobina foi 8,4 (intervalo 4,1- 14)g/dl, com mediana do VCM 89 (intervalo 69,10-115,8)fl. A mediana da contagem de leucócitos foi 11660/mm3 e mediana da plaqueta foi 43000/mm3. Mediana (%) blastos sangue periférico foi 26% e da medula óssea 71%. Com respeito ao risco citogenético, (68%) dos cariótipos encontrados são de risco intermediário. Na inmunofenotipagem CD13 foi o marcador mais frequente sendo expresso (91,51%) dos casos. Dos achados 53,93% expressavam antígenos aberrantes, sendo o CD7 mais expressado na linhagem linfóide T e CD19 na linhagem linfóide B. Um total de 5 pacientes foram classificados como Leucemia Aguda Bifenotipica (LAB). A linhagem de tratamento mais usado no adulto foi 3+7, nas crianças foi o BFM 2004. Um total de 134 pacientes foram submetidos a terapia intensiva, dos quais 74 entraram em remissão. Nove (9) dos pacientes foram submetidos ao transplante alogênico de células-tronco hematopoiéticas. As taxas de recaída e refratariedade foram elevadas. A sobrevida global em 1 ano foi de 31,28%. A taxa de óbito foi 67,59%. As curvas de sobrevida mostraram que o melhor prognóstico foi relacionado a idade abaixo de 60 x anos(mediana 496dias; p-valor<0,0001 ; OR 0,2774),paciente com LMA de novo(mediana 264dias; p-valor 0,0103; OR 0,3858).Não houve diferença estatisticamente significante quando comparadas as curvas de sobrevida global com a citogenética, a leucometria maior ou menor de100x10e3/μl, e pacientes que fez ou não TMO. Em conclusão, os resultados obtidos permitiram descrever um perfil das características demográficas e clínicas da LMA no Amazonas, fornecendo ferramentas importantes para um eventual desenvolvimento de sistemas de vigilância. Palavras Chaves. Leucemia mieloide aguda, neoplasias hematológicas.pt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.programPrograma de Pós-Graduação em Ciências Aplicadas à Hematologiapt_BR
dc.relation.referencesREFERÊNCIAS BIBLIOGRÁFICAS 1. Lima MC De, Bousfield D, Paula A, Freund F, Dacoregio JS, El T, et al. Acute Myeloid Leukemia : analysis of epidemiological profile and survival rate ଝ. J Pediatr (Rio J) [Internet]. 2016;92(3):283–9. Available from: http://dx.doi.org/10.1016/j.jped.2015.08.008 2. Kansal R. Acute myeloid leukemia in the era of precision medicine : recent advances in diagnostic classification and risk stratification. cancer Biol Med. 2016;(March 2016). 3. Saultz JN, Garzon R. Acute Myeloid Leukemia : A Concise Review. J Clin Med. 2016;5(33):1–17. 4. Reilly JT. a paradigm for understanding leukaemogenesis ? bristish J Hematol. 2004;(16):18–34. 5. Padilha SL, Juliani E, Coriolano M, Matos C, Domino NR. Acute myeloid leukemia : survival analysis of patients at a university hospital of Paraná. brazilian J Hematol hemotherapy. 2014;7(1):21–7. 6. Kouchkovsky I De. “ Acute myeloid leukemia : a comprehensive review and 2016 update .” Blood Cancer J. 2016;(April). 7. Yu MG, Zheng HY. Acute Myeloid Leukemia : Advancements in Diagnosis and Treatment. Chin Med J (Engl). 2017;130(2):9–10. 8. Szalontay L, Shad AT. Pediatric Acute Myeloid Leukemia : How to Improve Outcome ? Curr Pediatr Rep. 2014;26–37. 9. Deschier B, Lubbert M. Acute myeloid leukemia : Epidemiology and etiology. Inernacional J cancer. 2006;107(9):2099–107. 10. Rose-inman H. Acute Leukemia. Emerg Med Clin NA [Internet]. 2014;32(3):579–96. Available from: http://dx.doi.org/10.1016/j.emc.2014.04.004 11. Aziz H, Ping CY, Alias H, Mutalib NA. Gene Mutations as Emerging Biomarkers and Therapeutic Targets for Relapsed Acute Myeloid Leukemia. Front Pharmacol |. 2017;8(December):1–14. 12. INCA. Estimativa 2018 incidencia de cancer no brasil. 2017. 1-126 p. 13. Eliana B. Aspectos morfológicos e imunofenotípicos das leucemias mielóides agudas em pacientes do Amazonas Morphological and immunophenotipical features of acute 64 myeloid leukemias in Brazilian Amazon patients. Rev Bras Hematol Hemoter. 2008;4023. 14. Ho MSH, Medcalf RL, Livesey SA, Traianedes K. The dynamics of adult haematopoiesis in the bone and bone marrow environment. bristish J Hematol. 2015;(April):472–86. 15. Yu VWC, Scadden DT. Heterogeneity of the bone marrow niche. Curr Opin Hematol [Internet]. 2016;23:331–8. Available from: www.co-hematology.com 16. Hoffbrand V, Moss PA. Victor Hoffbrand ,Fundamentos em Hematologia, 6a Edição. 6th ed. Artmed, editor. 2013. 2-3 p. 17. Strom S s, Oum R, Gbito KYE, Manero GG, Yamamura Y. De Novo Acute Myeloid Leukemia Risk Factors a texas case control study. Cancer. 2012;4589–96. 18. Network the cancer genome atlas research. genomic and epigenomic landscapes of adult de novo acute myeloid leukemia. N Engl J Med. 2013;368:2059–74. 19. Papaemmanuil E, Gerstung M, Bullinger L, Gaidzik VI, Paschka P, Roberts ND, et al. Genomics classification and prognosis in acute myeloid leukemia. N Engl J Med. 2016;374(no.23). 20. Medinger M. Acute myeloid leukaemia genomics. bristish J Hematol. 2017;(June):530–42. 21. Kumar CC. Genetic Abnormalities and Challenges in the Treatment of Acute Myeloid Leukemia. Genes Cancer. 2011;2(2):97–107. 22. Wang ML, Bailey NG. Acute myeloid leukemia genetics Risk Stratification and Implications for Therapy. arch pathol lab med. 2015;139:1215–23. 23. Issa K Al, Nazha A. Molecular landscape in acute myeloid leukemia : where do we stand in 2016. Cancer Biol ogy Med. 2016;13(4):474–82. 24. Estey E, Grimwade D, Amadori S, Appelbaum FR, Thomas B, Ebert BL, et al. Diagnosis and management of AML in adults : 2017 ELN recommendations from an international expert panel. blood J. 2017;129(4):424–48. 25. Sinha C, Cunningham LC, Liu PP, Transplant BM, Therapy C, Transplant BM, et al. Core binding factor AML: New prognostic categories and therapeutic opportunities. Semin Hematol. 2015;52(3):215–22. 65 26. Ferrara F, Schiff CA. Acute myeloid leukaemia in adults. Lancet. 2013;381:484–95. 27. Vardiman JW, Thiele J, Arber DA, Brunning RD, Borowitz MJ, Porwit A, et al. The 2008 revision of the World Health Organization ( WHO ) classification of myeloid neoplasms and acute leukemia : rationale and important changes WHO Classification of Tumors of the Hematopoietic and Lymphoid Tissues . The Background of the WHO classifi. blood J. 2009;1–26. 28. Zeichner SB. Acute Myeloid Leukemia , Genetics , and Risk Strati cation : Data Overload or Ready for a Breakthrough ? J Am Osteopath Assoc. 2012;112:463–5. 29. Sekeres MA, Keng M. Acute Myeloid Leukemia. 2014;1–9. Available from: http://www.clevelandclinicmeded.com 30. Allahyari A, Tajeri T, Sadeghi M. Prognostic Factors and Survival in Acute Myeloid Leukemia Cases : a Report from the Northeast of Iran. Asian Pacific J Cancer Prev. 2016;17:1547–51. 31. Arber DA, Orazi A, Hasserjian R, Borowitz MJ, Beau MM Le, Bloomfield CD, et al. The 2016 revision to the World Health Organization classi fi cation of myeloid neoplasms and acute leukemia. blood J. 2016;127(20):2391–406. 32. Rassi F El, Arellano M. Update on Optimal Management of Acute Myeloid Leukemia. Clin Med insights Oncol. 2013;181–97. 33. Institute N cancer. A Snapshot of Leukemia Incidence and Mortality. 2014;1–5. Available from: https://www.cancer.gov/research/progress/snapshots/leukemia 34. Miranda-filho A, Piñeros M, Ferlay J, Soerjomataram I, Monnereau A, Bray F. Articles Epidemiological patterns of leukaemia in 184 countries : a population-based study. Lancet Haematol [Internet]. 2018;5(1):e14–24. Available from: http://dx.doi.org/10.1016/S2352-3026(17)30232-6 35. Tarlock K. P e d i a t r i c A c u t e My e l o i d Leukemia Biology and Therapeutic Implications of Genomic Variants Acute myeloid leukemia Pediatrics Epigenetic Genomic Therapy. Pediatr Clin NA [Internet]. 2015;62(1):75–93. Available from: http://dx.doi.org/10.1016/j.pcl.2014.09.007 36. Helman R, Pires F, Santos DS, Simões B, Atta EH, Callera F, et al. Acute myeloid leukemia : update in diagnosis and treatment in Brazil Leucemia mieloide aguda : atualidade brasileira de diagnóstico e tratamento. J einstein. 2011;9(11):179–83. 66 37. Vanderwalde A. Genetics of Acute Myeloid Leukemia. medscape [Internet]. 2016;(16):1–7. Available from: http://emedicine.medscape.com/article/1936033?overview 38. Eh E. Acute myeloid leukemia : 2013 update on risk ­ stratification and management. Am J Hematolology. 2013;88(4):3–4. 39. Dohner H, Weisdorf DJ, Bloomfield CD. Acute Myeloid Leukemia. N Engl J Med. 2015; 40. Foran JM. Do cytogenetics affect the post-remission strategy for older patients with AML in CR1 ? Best Pract Res Clin Haematol [Internet]. 2017;30(4):306–11. Available from: https://doi.org/10.1016/j.beha.2017.09.008 41. Khwaja A, Bjorkholm M, Gale RE, Levine RL, Jordan CT, Ehninger G, et al. Acute myeloid leukaemia. Nat Rev | Dis Prim. 2016;2. 42. Kouchkovsky I De. “ Acute myeloid leukemia : a comprehensive review and 2016 update .” 2016;(April). 43. Hasserjian RP. Acute myeloid leukemia : advances in diagnosis and classification. Int J laboretory Hematol. 2013;358–66. 44. Percival MM, Tao L, Medeiros BC, Clarke CA. Improvements in the Early Death Rate Among 9380 Patients With Acute Myeloid Leukemia After Initial Therapy : A SEER Database Analysis. Cancer. 2015; 45. Daver N, Dumlao TL, Ravandi F, Pierce S, Borthakur G, Pemmaraju N, et al. Effect of NPM1 and FLT3 Mutations on the Outcomes of Elderly Patients With Acute Myeloid Leukemia Receiving Standard Chemotherapy Background. 2014;2650(13):2–3. 46. Rowe JM. AML in 2017 : Advances in clinical practice. Best Pract Res Clin Haematol [Internet]. 2017;30(4):283–6. Available from: https://doi.org/10.1016/j.beha.2017.09.010 47. Novák J, Vydra J, Zák P, Pecherková P, Cetkovský P. Analysis of Real-world Data on Postremission Therapy for Acute Myeloid Leukemia With Intermediate Risk Cytogenetics in First Complete Remission. Clin Lymphoma, Myeloma Leuk. 2017;1– 8. 48. Society A cancer. Chemotherapy for Acute Myeloid Leukemia. Am cancer Soc [Internet]. 2017;1–5. Available from: 67 https://www.cancer.org/cancer/acute?myeloid?leukemia/treating/chemotherapy.html 49. Walter RB, Othus M, Burnett AK, Löwenberg B, Hagop M, Ossenkoppele GJ, et al. Significance of FAB Subclassification of “ Acute Myeloid Leukemia , NOS ” in the 2008 WHO Classification : Analysis of 5 , 848 Newly Running head : FAB Subclassification of “ AML , NOS .” blood J. 2013; 50. Walter RB, Othus M, Borthakur G, Ravandi F, Cortes JE, Pierce SA, 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. 51. Lima AS, De Melo MR, Fernandes E, Bezerra MF, Oliveira MM, Duarte BK, et al. clinical outcomes of patients with acute myeloid leukemia evaluation of genetic and molecular finding in a real life setting. blood J. 2015;126(15):1863–5. 52. Dayama A, Dass J, Seth T, Mahapatra M, Misshra P, Saxena R. Clinico-hematological profile and outcome of acute promyelocytic leukemia patients at a tertiary care center in North Indian. Indian J Cancer. 2015;52(3):309–12. 53. Sweet K, Lancet J. SOHO State of the Art Updates and Next Questions State of the Art Update and Next Questions : Acute Myeloid Leukemia. Clin Lymphoma, Myeloma Leuk [Internet]. 2017;17(11):703–9. Available from: https://doi.org/10.1016/j.clml.2017.10.005 54. Huang R, LIao X, Qiaochuan L. Identification and validation of potential prognostic gene biomarkers for predicting survival in patients with acute myeloid leukemia. Onco Targets Ther. 2017;5243–54. 55. Oken MM, Creech R, Tormey D, Horton J, Davis TE, McFadden ET, et al. toxicity and reponse criteria of eastern cooperativa oncology group.pdf. Am J Clin Oncol. 1982;649–55. 56. Ramchandran kavitha J, Von Roenn JH. What Is the Relationship Between Patient Performance Status and Ability to Offer Chemotherapeutic Treatments? 2012;5(6):287. 57. To L, Editor THE. The treatment-related mortality score is associated with non-fatal adverse events following intensive AML induction chemotherapy. Blood Cancer J. 2015; 58. Sultan S, Zaheer HA, Irfan SM, Ashar S. Demographic and Clinical Characteristics of 68 Adult Acute Myeloid Leukemia - Tertiary Care Experience. Asian Pacific J Cancer Prev. 2016;17(January 2010):2014–7. 59. CAPRA M, VILELLA L, PEREIRA WV, COSER VM, FERNANDES S, ANTONIO MSDA, et al. Estimated number of cases , regional distribution and survival of patients diagnosed with acute myeloid leukemia between 1996 and 2000 in Rio Grande do Sul , Brazil. Leuk Lymphoma. 2007;48(December):2381–6. 60. Shysh AC, Nguyen LT, Guo M, Vaska M, Naugler C. The incidence of acute myeloid leukemia in Calgary , Alberta , Canada : a retrospective cohort study. BMC Public Health. 2017;1–5. 61. Bethesda M. Surveillance, Epidemiology, and End Results (SEER) Stat Factsheets: Acute Myeloid Leukemia.National Cancer Institute. Nac cancer Inst. 2017; 62. Bekadja MA, Hamladji RM, Belhani M, Ardjoun FZ, Abad MT, Touhami H, et al. A population-based study of the epidemiology and clinical features of adults with acute myeloid leukemia in Algeria: report on behalf of the Algerian Acute Leukemia Study Group. Hematol Oncol Stem Cell Ther [Internet]. 2011;4(4):161–6. Available from: http://dx.doi.org/10.5144/1658-3876.2011.161 63. Klepin HD. Myelodysplastic Syndromes and A cute Myeloid Leukemia in the Elderly. Clin Geriatr Med [Internet]. 2016;32(1):155–73. Available from: http://dx.doi.org/10.1016/j.cger.2015.08.010 64. Philip C, George B, Korula A, Jain P, Alex AA, Lakshmi KM, et al. Acute myeloid leukaemia : challenges and real world data from India. bristish J Hematol. 2015;110–7. 65. Santos T, Elvira D, Rodrigues D, Velloso P, Helman R, Garcez J, et al. Overall survival of Brazilian acute myeloid leukemia patients according to the European LeukemiaNet prognostic scoring system : a cross-sectional study. Med Oncol [Internet]. 2018;0(0):0. Available from: http://dx.doi.org/10.1007/s12032-018-1179-3 66. Nagel G, Weber D, Fromm E, Erhardt S, Lübbert M, Fiedler W. Epidemiological , genetic , and clinical characterization by age of newly diagnosed acute myeloid leukemia based on an academic population-based registry study ( AMLSG BiO ). Ann Hematol. 2017;1993–2003. 67. C.R P. Clinico-Hematological Study of Acutemyeloid Leukemias. J Clin Diagnostic Res. 2014;8(4):14–7. 69 68. Oliveira LCO, Romano LGM, Prado-Junior BPA, Covas DT, Rego EM, Santis GC De. Outcome of acute myeloid leukemia patients with hyperleukocytosis in Brazil. Med Oncol. 2010;1254–9. 69. Tereza M, Benicio DL, Flávia A, Ribeiro T, Américo AD, Furtado FM, et al. Evaluation of the European LeukemiaNet recommendations for predicting outcomes of patients with acute myeloid leukemia treated in low- and middle-income countries ( LMIC ): A Brazilian experience ☆. Leuk Res [Internet]. 2017;60(March):109–14. Available from: http://dx.doi.org/10.1016/j.leukres.2017.07.005 70. Meng CY, Noor PJ, Ismail A, Ahid MF, Zakaria Z. Cytogenetic Profile of de novo Acute Myeloid Leukemia Patients in Malaysia. Int J Biomed Sci. 2013;9(1):26–32. 71. Jahedi M, Shamsasenjan K, Sanaat Z, Aliparasti M, Almasi S. Aberrant Phenotype in Iranian Patients with Acute Myeloid Leukemia. Adv Pharm Bull. 2014;4(1):43–7. 72. Sarma A, Hazarika M, Das D, Kumar Rai A, Sharma JD, Bhuyan C, et al. Expression of aberrant CD markers in acute leukemia: A study of 100 cases with immunophenotyping by multiparameter flowcytometry. Cancer Biomarkers. 2015;15(4):501–5. 73. FUENTES M, ROJAS P, ERNST D, OCQUETEAU M, BERTIN P, RAMIREZ MSP. Results of acute myeloid leukemia treatment. Analysis of 63 patients between 2010- 2014. Rev Med Chile. 2015;1269–76. 74. T.Felicitas et al. How I treat refractory and early relapsed acute myeloid leukemia. Blood. 2015; 75. Estey E, Döhner H. Acute myeloid leukaemia. Lancet. 2006;368:1894–907. 76. Wendtner C-M, Kern W, Pielken HJ, Schmitz N, Haferlach C, Haferlach T, et al. Evaluation of the proposed reporting system of the European LeukemiaNet and recommendations for prognosis of acute myeloid leukemia. Leuk Res. 2012;37(2):197– 200. 77. Röllig C, Bornhäuser M, Thiede C, Taube F, Kramer M, Mohr B, et al. Long-term prognosis of acute myeloid leukemia according to the new genetic risk classification of the European leukemianet recommendations: Evaluation of the proposed reporting system. J Clin Oncol. 2011;29(20):2758–65. 78. Juliusson G, Antunovic P, Derolf Å, Lehmann S, Möllgård L, Stockelberg D, et al. Age 70 and acute myeloid leukemia: Real world data on decision to treat and outcomes from the Swedish Acute Leukemia Registry. Blood. 2009;113(18):4179–87. 79. Behringer B, Pitako JA, Kunzmann R, Schmoor C, Behringer D, Mertelsmann R, et al. Prognosis of older patients with acute myeloid leukemia receiving either induction or noncurative treatment: A single-center retrospective study. Ann Hematol. 2003;82(7):381–9. 80. Østgård LSG, Medeiros BC, Sengeløv H, Nørgaard M, Andersen MK, Dufva I, et al. Epidemiology and clinical significance of secondary and therapy-related acute myeloid leukemia: A national population-based cohort study. J Clin Oncol. 2015;33(31):3641– 9. 81. Marbello L, Ricci F, Nosari AM, Turrini M, Nador G, Nichelatti M, et al. Outcome of hyperleukocytic adult acute myeloid leukaemia: A single-center retrospective study and review of literature. Leuk Res. 2008;32(8):1221–7.pt_BR
dc.subject.cnpqHematologiapt_BR
dc.publisher.initialsUEApt_BR
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