Faculty Opinions recommendation of Acute myeloid leukemia in the real world: why population-based registries are needed.

Author(s):  
Parameswaran Hari ◽  
Robert Frank Cornell
Blood ◽  
2012 ◽  
Vol 119 (17) ◽  
pp. 3890-3899 ◽  
Author(s):  
Gunnar Juliusson ◽  
Vladimir Lazarevic ◽  
Ann-Sofi Hörstedt ◽  
Oskar Hagberg ◽  
Martin Höglund

Abstract Population-based registries may provide data complementary to that from basic science and clinical intervention studies, all of which are essential for establishing recommendations for the management of patients in the real world. The same quality criteria apply for the evidence-based label, and both high representation and good data quality are crucial in registry studies. Registries with high coverage of the target population reduce the impact of selection on outcome and the subsequent problem with extrapolating data to nonstudied populations. Thus, data useful for clinical decision in situations not well covered by clinical studies can be provided. The potential clinical impact of data from population-based studies is exemplified with analyses from the Swedish Acute Leukemia Registry containing more than 3300 acute myeloid leukemia (AML) patients diagnosed between 1997 and 2006 with a median follow-up of 6.2 years on (1) the role of intensive combination chemotherapy for older patients with AML, (2) the impact of allogeneic stem cell transplantation on survival of younger patients with AML, and (3) the continuing problem with early deaths in acute promyelocytic leukemia. We also present the first Web-based dynamic graph showing the complex interaction between age, performance status, the proportion of patients given intensive treatment, early death rate, complete remission rate, use of allogeneic transplants, and overall survival in AML (non-AML).


2019 ◽  
Vol 19 ◽  
pp. S238
Author(s):  
Razan Mohty ◽  
Radwan Massoud ◽  
Zaher Chakhachiro ◽  
Rami Mahfouz ◽  
Samer Nassif ◽  
...  

HemaSphere ◽  
2019 ◽  
Vol 3 (S1) ◽  
pp. 471-472
Author(s):  
L. Saini ◽  
M.N. Geddes ◽  
F.F. Liu ◽  
D. Yusuf ◽  
K. Schwann ◽  
...  

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e18505-e18505
Author(s):  
Michelle N. Geddes ◽  
Lalit Saini ◽  
Fei Fei Liu ◽  
Dimas Yusuf ◽  
Kiersten Schwann ◽  
...  

e18505 Background: In order to describe the impact of future targeted therapies on treatment outcomes of patients (pts) with relapsed and/or refractory (RR) acute myeloid leukemia (AML), a better understanding of the clinical management pathway in these pts is needed. We therefore evaluated the treatment patterns and associated outcomes in a real-world cohort of pts with RR-AML using a population-based cancer registry and patient medical records. Methods: Pts newly diagnosed wih AML between January 2013 and December 2016, aged ≥ 18 years were identified from the provincial-wide Alberta Cancer Registry (ACR). Data for pts who met the criteria for RR-AML were assessed by hematologists and were extracted from medical records. RR-AML pts were then categorized as: receiving intensive therapy (IT); receiving non-intensive therapy (NIT); or treated with best-supportive care (BSC) following a diagnosis of RR-AML. Results: 572 AML pts were identified from the ACR, of which 199 met criteria for RR-AML and were included in the analysis (124 males, 75 females; median age at diagnosis of RR-AML 66.8 years; median follow-up 4.7 months). In this RR-AML cohort, 26 (13%) pts received ≥ 2 lines of prior therapy. Unadjusted median overall survival (mOS) was 5.3 months, with a 12-month overall survival rate of 29.6% (95% CI 29.0–30.3%) from the time of RR. Following RR, 46 (23%) pts received IT, 65 (33%) pts were treated with NIT, and 88 (44%) pts received BSC, with unadjusted mOS of 13.8, 9.4, and 2.1 months, respectively ( P < 0.001). When stratified by European LeukemiaNet risk classification at diagnosis, unadjusted mOS was 12.4, 4.7, and 4.0 months for favorable risk, intermediate risk, and adverse risk groups, respectively ( P < 0.01). Conclusions: This retrospective, real-world study in Alberta Canada confirms the poor prognosis reported to date in the RR-AML population. Notably, a large proportion of pts received BSC which was associated with dismal survival outcomes. These data also highlight that effective and tolerable alternatives to current treatment options are urgently needed.


2020 ◽  
pp. OP.20.00446
Author(s):  
Lee Mozessohn ◽  
Matthew C. Cheung ◽  
Nicole Mittmann ◽  
Craig C. Earle ◽  
Ning Liu ◽  
...  

PURPOSE: Azacitidine (AZA) is a standard of care for higher-risk myelodysplastic syndrome (MDS)/low blast–count acute myeloid leukemia (AML). Despite this, there is a paucity of data on the real-world health care resource utilization costs of AZA in this population. METHODS: We linked the Ontario AZA MDS registry—higher-risk MDS/low blast–count AML—to population-based health system administrative databases. Patients were observed for 24 months after first AZA and censored at the earliest of 90 days after last AZA, date of death, time of AML induction/stem-cell transplantation, or March 31, 2016. Costs (2015 Canadian dollars) were expressed as standardized mean and median 28-day costs. Univariable quantile regression was used to explore the association of baseline patient and disease characteristics and median cost. Multivariable quantile regression was used to explore predictors of median costs. RESULTS: Among 877 patients in the registry, mean standardized 28-day cost per patient was $17,638 (median, $15,272; interquartile range [IQR], $11,869-$19,580) and $13,450 (median, $11,043; IQR, $7,981-$14,882) excluding the cost of AZA. Major nondrug drivers of cost were cancer clinic visits and inpatient care (mean standardized 28-day cost, $4,631; median, $1,558; IQR, $238-$4,961). Transfusion dependence at AZA initiation ( P = .001) and greater comorbid disease burden ( P = .009) were independently associated with increased cost. CONCLUSION: Our cohort of patients with uniformly higher-risk MDS/low blast–count AML treated with AZA demonstrates substantial costs of care above and beyond the cost of AZA alone. These results provide insight into the costs of AZA in the real world with implications for resource allocation.


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