Abstract
Background Acute myeloid leukemia is the second most common leukemia among United States adults with a median age of 69 years. We investigated recent clinical practices related to treatments and disease outcomes in older patients with acute myeloid leukemia in the United States.Design and Methods In this retrospective cohort study, we used Surveillance, Epidemiology, and End Results program data from 2000 through 2007 linked to Medicare enrollment and utilization data in the United States.Results Among 5,480 patients with acute myeloid leukemia (median age 78 years, range 65-93), 38.6% received leukemia therapy within three months of diagnosis (treated group). Practice changed with 16.3% of treated patients receiving hypomethylating agents after 2004 when those agents became available. Median survival was two months in the untreated group versus six months in the treated group (P<0.01) with the biggest improvements seen in those aged 65-69 years (10 months vs. 4 months; P<0.01) and 70-74 years (8 months vs. 3 months; P<0.01). In 46 patients receiving allogeneic hematopoietic cell transplantation (0.8%), the median survival from diagnosis was 22 months.Conclusions Therapy for leukemia improves overall survival in older acute myeloid leukemia patients. Based on their comorbidities, most patients up to 80 years of age should be considered for treatment. New therapies including hypomethylating agents and allogeneic hematopoietic cell transplantation are promising and must be compared with other chemotherapy regimens.Introduction
Acute myeloid leukemia (AML) is the second most common type of leukemia among United States (US) adults with an age-adjusted incidence of 3.6 per 100,000 per year and a median age of 69 years at diagnosis.1 A few population-based studies have reported 3-year survival rates of only 9-10% and 5-year survival of 3-8% in patients aged 60 years and older, compared with 5-year survival rates of up to 50% for younger patients.2-4 This poor survival reflects the higher frequency in older patients of poor prognostic factors and comorbidities, as well as a preference among physicians not to treat older patients as aggressively because of the expectation that they are less likely to benefit from intensive therapies.5
Despite the paucity of clinical studies evaluating different treatment options in older AML patients,6 there is some evidence available on treatment practices and associated outcomes in older AML patients.2,7-10 A recent study from the Swedish Acute Leukemia Registry showed that the proportions of patients eligible for intensive treatment depended on age and performance status, and suggested that fit AML patients up to 80 years of age should be considered for intensive therapy.2 In the US, approximately a decade ago, analysis of data in the Surveillance, Epidemiology, and End Results (SEER) cancer registry and Medicare claims database (SEER-Medicare) (1991-1999) found that 33.8% of AML patients aged 65 years or over received chemotherapy, though the curative or palliative intent of treatment could not be ascertained.9 Notably, the median survival for all patients in this older age group was only 2.4 months.
During the last decade, new strategies have emerged for treating AML. Specific improvements include the availability of new drug therapies11-13 and the development of reduced intensity conditioning (RIC) for allogeneic hematopoietic stem cell transplantation (allo-HCT).14-17 Based on these new treatment approaches, plus improvements in supportive care, we hypothesized that the poor prognosis of older AML patients reported in the 1990s might have improved during the last decade. In the present study, using the SEER-Medicare database, we examined a population-based cohort of older patients in the US diagnosed with AML from 2000-2007, and investigated the use of newer diagnostic testing modalities and compared the effects of different therapeutic interventions on survival rates.
Design and Methods
Data source
After receiving approval from the University of Minnesota Institutional Review Board, we used data from the population-based (SEER) program database and linked Medicare files. Sponsored by the National Cancer Institute (NCI), SEER collects and publishes cancer incidence, treatment, and survival data from population-based cancer registries covering approximately 28% of the US population.18,19 A 98% case ascertainment is mandated with annual quality-assurance studies.18 SEER databases are linked to Medicare enrollment and claims files at the individual level to allow tracking of cancer- and non-cancer related medical service utilization by Medicare beneficiaries before and after their cancer diagnosis. The vast majority (93%) of persons aged 65 years and older in SEER are successfully matched to Medicare enrollment files.20 At the time of our study, the SEER-Medicare linkage included all Medicare-eligible people in the SEER database through 2007, and their Medicare enrollment and claims data through 2009, thus permitting a minimum 2-year follow up.
Study cohort
With the aim of investigating current clinical practice in older de novo and secondary AML in the US, patients in the SEER database were included if their first primary cancer diagnosis was AML between 1 January 2000 and 31 December 2007 (Online Supplementary Figure S1). This restriction indirectly enabled us to exclude therapy-related AML, since SEER does not code the specific subtype of AML. All patients had microscopically confirmed AML diagnosis based on the World Health Organization (WHO) classification system, including International Classification of Diseases for Oncology (3 edition, ICD-O-3) histology codes in SEER data (Online Supplementary Tables S1 and S2). To ensure complete information, analysis was limited to those likely to have complete claims data. Continuous enrollment in Medicare Part A and Part B with no health maintenance organization (HMO) enrollment was required from 12 months preceding the AML diagnosis that allowed ascertainment of active comorbidities. Patients were excluded if their diagnosis was made through autopsy, death certificate or nursing home records, or if they were diagnosed with another cancer in the two years following their AML diagnosis.
The NCI provides a comprehensive list, the International Classification of Diseases (9 revision), Clinical Modification (ICD-9-CM) of diagnosis and procedure codes, and Healthcare Common Procedure Coding System (HCPCS) “J” codes, which are used to identify claims for chemotherapy.21-23 The HCPCS codes are for specific drugs, whereas the ICD-9-CM codes indicate only that chemotherapy was provided and do not identify the specific drugs used. We searched the Medicare National Claims History (NCH) and Outpatient files to identify patients who received infused chemotherapy. A course of leukemia therapy was defined as primary therapy if it was delivered within three months of diagnosis. Patients with therapy (treated group) were classified into two groups based on specific drug use: chemotherapy or hypomethylating agents (5-azacytidine and decitabine). Five hundred and seventeen patients were excluded since they received chemotherapy at a median of 17 months prior to AML diagnosis. In that group, only 35 of 517 patients had myelodysplastic syndrome (MDS) prior to AML diagnosis, and due to limitations of the data, it was not possible to determine the primary disorder that required chemotherapy. Excluding those 517 patients who had therapy preceding the month of AML diagnosis left 5,480 patients for inclusion in the outcome analysis.
End points
The primary end point was overall survival (OS) after AML diagnosis. Diagnosis date (month/year) was based on dates recorded in the SEER Patient Entitlement and Diagnosis Summary File. The date of death was assigned using the Medicare files (month/year) because follow-up information on mortality was available from Medicare for all patients through 2009. All other patients were censored at the end of observation (31 December 2009). We measured survival time from assigned date of diagnosis until death or last follow up. Secondary end points were: 1) receipt of leukemia therapy for AML within three months of diagnosis; 2) early death (ED) within two months of diagnosis; and 3) ED within two months after receiving leukemia therapy for AML.
Patients' characteristics
Patients' demographic, clinical and socio-economic characteristics are described in Table 1. We categorized patients into 5-year age increments using age at diagnosis. We obtained data on race/ethnicity and metropolitan statistical area as recorded by SEER. Median annual household income and percentage of those aged 25 years or older with some college education at the ZIP code level from the 2000 US Census was used as a proxy for socio-economic status. We used the Medicare records to calculate an NCI Comorbidity Index score for each patient.24,25 This approach26,27 entails first removing claims that are considered to have unreliable diagnosis coding, such as those for testing procedures used to rule out conditions. Then, remaining diagnosis and procedure codes are used to identify the 15 non-cancer comorbidities in the Charlson comorbidity index (CCI).28 The algorithms used to identify these conditions reflect the Deyo29 adaptation of the CCI, and include several procedure codes from the Romano30 adaptation. A weight is assigned to each condition, and the weights are summed to obtain the index for each patient.
History of MDS prior to AML diagnosis was identified only through Medicare records because SEER guidelines did not permit coding of multiple myeloid malignancies as multiple primaries until January 2010 (after this study period) leading to underrepresentation of MDS cases in the registry. The use of diagnostic procedures were also identified through Medicare files and a time period of ±2 months from the date of AML diagnosis was required for each test to associate with the AML diagnosis. This time restriction was not applied to human leukocyte antigen (HLA) testing which was used to estimate whether allo-HCT had been considered and whether a donor search had been initiated at any time point after AML diagnosis.
Statistical analysis
Patients' characteristics were compared between the treated and untreated groups using the χ2 test for categorical variables and t-test for continuous variables. A logistical regression model was used to evaluate the likelihood of: i) receipt of leukemia therapy for AML; ii) ED within two months after AML diagnosis; and iii) ED after receiving leukemia therapy. The covariates of interest included age, gender, race/ethnicity, CCI, education, median income, metropolitan statistical area size and history of MDS.
Unadjusted Kaplan-Meier survival plots were used for OS in the entire cohort and treatment groups as defined. Cox's proportional hazards regression model was used to evaluate the independent effects of covariates including leukemia therapy, age, gender, race/ethnicity, CCI, education, median income, metropolitan statistical area size and history of MDS on survival. Statistical analyses were performed using STATA system for Windows version 11.2.
Results
Description of study cohort
A total of 5,480 patients were identified as eligible for inclusion within the SEER-Medicare databases (Table 1). The study cohort included only older adults, with a median age at diagnosis of 78 years (interquartile range, IQR, 72-83). The frequency of prior MDS diagnosis increased with older age: 65-69 years (13.5%), 70-74 (17.2%), 75-79 (17.9%), and 80 years and over (18.6%) (P=0.01). Although half of all patients had a CCI score of 0, the score progressively worsened with age (Figure 1A).
Diagnostic testing
Diagnostic procedures included bone marrow aspiration and/or biopsy in 3,826 (69.8%), immunophenotyping in 3,222 (58.9%), and cytogenetics in 1,915 patients (34.9%). HLA typing was performed in only 130 (2.4%) patients. Diagnostic procedures, especially HLA typing, were more commonly performed on younger AML patients (Online Supplementary Table S3).
Leukemia therapy
Of all the 5,480 eligible patients, 2,113 (38.6%) received leukemia therapy for AML within three months of diagnosis and were designated as the ‘treated group’ (Table 1). Notably, patients aged 65-69 years with a CCI score of 0 received leukemia therapy over three times more often than patients aged 80 years and over with the same CCI score (Figure 1B). Multivariate analysis confirmed that a lower rate of leukemia therapy was associated with older age, higher CCI scores, previous MDS diagnosis, and lower income level (Table 2).
In cases diagnosed in the years 2005-2007, a change in treatment approach was observed with 10.7% of all AML patients receiving either decitabine or 5-azacytidine after diagnosis. Of 211 patients, 128 (60.7%) received the therapy within three months after AML diagnosis (hypomethylating group). Compared with the rest of the treated group in 2005-2007, the hypomethylating group was older (median age 77 vs. 74; P<0.01) and more were white race (91.4% vs. 84.2%; P=0.03). Although there were more frequent prior diagnoses of MDS in the hypomethylating group, this difference did not reach statistical significance (13.3% vs. 8.5%; P=0.09). The other characteristics including education level, median income and CCI were similarly distributed between the hypomethylating and the chemotherapy-treated groups.
Early death after diagnosis and leukemia therapy
Early death (ED, within two months after diagnosis) was observed in 52.7% of older AML patients. In multivariate analysis, factors associated with ED after diagnosis in the untreated group included older age, female sex and worse CCI (Table 2). To compare ED after diagnosis in the treated group versus the untreated group, the treated group was limited to patients who received leukemia therapy in the same month of diagnosis to minimize time to leukemia therapy selection bias. With this rule applied, we observed a lower rate of ED after diagnosis in all subgroups of the treated group (P<0.03), except patients with CCI of 2 and over and age 80 years and over (P=0.9) (Figure 2A).
ED within two months after initiation of leukemia therapy was seen in 37.5% of patients and was associated with older age (P<0.01) and higher CCI scores (P<0.01). When adjusted for other variables, a similar observation with a higher relative risk of ED was noted in older patients with higher CCI scores (Table 2).
The ED rate was also analyzed separately for the hypomethylating group. After 2004, of 128 patients, ED was recorded for 24 (18.7%); this was lower than in the chemotherapy group (36%, P<0.01). The ED rate after hypomethylating agents was associated with increasing age: 65-69 years (11.8%), 70-74 (12.9%), 75-79 (15.8%), and 80 years and over (28%). This increase in ED was significant for patients aged 80 years and over compared with younger patients (P=0.05).
Overall survival
The median OS following diagnosis was three months for the entire study cohort (IQR 1-10 months). Median OS was six months in the treated group compared with only two months in the untreated group (P<0.01) (Figure 3A). This improvement in OS after leukemia therapy was apparent in all age cohorts under the age of 80 years (Figure 3B), with a significant prolongation in median survival by six months in those aged 65-69 years (10 months vs. 4 months, P<0.01), five months in those aged 70-74 years (8 months vs. 3 months, P<0.01) and 4 months in those aged 75-79 years (6 months vs. 2 months, P<0.01). After 2004, among the patients receiving hypomethylating agents within the treated group, the median survival was nine months (IQR 2-17), which was similar to the 6-month median survival of patients treated with chemotherapy (IQR 2-15; P=0.5).
Cox's regression analysis, performed to identify prognostic factors for OS of the whole cohort, revealed that not only receiving leukemia therapy and younger age, but also lower CCI, higher median income and absence of previous MDS diagnosis were all associated with improved survival (Table 3, Figure 3Cand D).
Allogeneic hematopoietic cell transplantation
Allo-HCT was performed in only 46 (0.8%) patients. Compared with the rest of the cohort, allo-HCT patients were younger (median age 67 vs. 78, P<0.01). They also had higher median income ($54810 vs. $46203; P=0.01) and more frequently CCI of 0-1 (100% vs. 79%; P<0.01). Their other characteristics were similar to the rest of the cohort. The median time from diagnosis to allo-HCT was 6.5 months (IQR 4-15), and the median time from first leukemia therapy to allo-HCT was five months (IQR 3-15). For the allo-HCT recipients, OS after diagnosis was 22 months (IQR 10-41). This improvement in OS after diagnosis was not associated with age (P=0.6), but it was associated with a lower CCI score (P=0.05). While allo-HCT recipients aged 65-69 and 70-74 years had similar median survival times of 29 and 22 months, transplanted patients with a CCI of 1 had markedly shorter survival (median 8 months) in contrast to those with a CCI score of 0 (median 29 months). Two-year survival after diagnosis and after allo-HCT was 50% (95% CI: 35-63%) and 30.5% (95% CI: 17-45%), respectively.
Discussion
Although older age by itself is perhaps the most important adverse prognostic factor for AML,6 it is insufficient to fully explain the poor outcomes observed in the older AML population. A higher frequency of poor performance status, secondary leukemia, preceding MDS, overexpression of P-glycoprotein, adverse cytogenetics, splenomegaly, and extramedullary disease can independently contribute to the observed poor outcomes.31-33 In our study cohort, we were able to confirm that approximately 45% of older AML patients had comorbid illnesses and 17.5% had a previous diagnosis of MDS; both were associated with increasing age. On the other hand, the frequency of previous MDS diagnosis was relatively low considering that even in the absence of a clear previous hematologic disorder, trilineage myelodysplasia may be recognized morphologically in as many as 30% older patients with de novo AML.34,35 These findings can be explained, at least in part by: i) the methodological limitations of using Medicare claim files to capture diagnosis of MDS;36 and ii) exclusion of patients with first primary cancer diagnosis other than AML. We were not able to analyze other relevant prognostic factors due to limitations of the available population-based data.
Optimally, cytogenetics and other biological indicators would inform the initial management of untreated AML. For example, older patients with adverse cytogenetic features have complete remission rates of 32% and OS of 4%, indicating that they may be more suitable for investigational therapy.33 More recent data suggest that there is no deterioration in outcome following a brief delay to determine the leukemic phenotype.37 Although in our cohort only 34.9% of patients had cytogenetic testing, we hope that such data will improve its use in AML patients, along with immunophenotype and molecular classification, and help design treatment plans on the basis of informative results.
We observed a modest increase in the use of leukemia therapy from the 33.8% reported by Lang et al.9 to the 38.4% over the last decade reported in our study. Although the intention behind leukemia therapy could not be directly discerned, by limiting the time frame to three months after AML diagnosis, we likely improved the identification of patients treated with therapy intended to induce remission. However, we were not able to identify the subgroup of patients treated with subcutaneously administered, low-dose cytarabine which has been used as a lower intensity AML treatment for more than 25 years, and has been shown to improve overall survival compared to hydroxyurea and supportive care.38,39
Additionally, given that nearly 16.3% of the treated group diagnosed in 2005-2007 received hypomethylating agents, generally not classified as intensive induction therapy, induction therapy currently used in this older population is substantially fewer than the 38.4%.
Many oncologists are reluctant to offer intensive chemotherapy to older patients considering that: i) most trials exclude AML patients aged over 55-60 years;40 ii) high ED rates with 3- to 5-year survival rates of less than 10% have been reported;34,40-42 and iii) increased comorbidities lead to higher morbidity and mortality. In our population-based study, we showed that receiving leukemia therapy was not only associated with younger age and lower CCI scores, but also with other demographic characteristics, such as male sex and higher median income level.
The risk of ED after AML therapy can also define a group of patients that can benefit from leukemia therapy. Kantarjian et al. have suggested that an analysis of death rates be conducted within eight weeks to include consideration of death rates resulting from lack of response.31 In our comparison of ED within two months of diagnosis, we showed substantially reduced ED rates in those receiving leukemia therapy. This improvement was seen in all age groups under 80 years and with all CCI scores. Our results were similar to an analysis of the Swedish Acute Leukemia Registry2 suggesting that denying therapy in older AML patients is inappropriate if based on presumed high rates of ED. Importantly, however, in patients older than 75 years or with higher CCI scores, the high ED rates after leukemia therapy (approx. 40% or higher) suggest caution in the use of such therapy, despite the observed improvement compared to the untreated group.
Survival for older AML patients varies depending on patients' and disease characteristics. Different groups have proposed prognostic modeling to estimate expected survival, in which age, cytogenetics, performance status and prior MDS are usually included. Recently, Kantarjian et al.43 reported the MD Anderson experience in older AML patients (age ≥70 years) with 8-week mortality of 36% and OS of 4.6 months after leukemia treatment. In their analysis, only patients with favorable cytogenetics or those without poor risk features (age ≥80 years, complex cytogenetics, poor performance and creatinine level ≥ 1.3 mg/dL) had acceptable outcomes. Their conclusions were that, although intensive chemotherapy could be delivered to older patients with AML, it might not be beneficial for most, and it could be harmful to some. On the other hand, the Swedish Acute Leukemia Registry2 reported long-term survivors among older AML patients given intensive treatment despite poor initial performance status (PS) of 3 or 4. Their results were encouraging, especially in older patients fit for chemotherapy with PS of 0-2, who had median OS of approximately 13 and 6 months in the 66-75 years and the 75 and over years age groups, respectively.
The SEER-Medicare data are true population-based data and provide a valid source for information currently available on older AML patients in the US. However, the data are limited and do not provide: i) detailed disease characteristics; ii) physician assessment at diagnosis about patients' fitness for chemotherapy; and iii) details of specific drug combinations used for induction. However, survival data are complete and allow CCI analysis to be performed, providing greater potential for informing treatment decisions than performance status alone. In addition, in contrast to most other reports, these data provide information on all AML patients irrespective of their management. Therefore, our analysis provides comprehensive data from a large and unselected older AML population in the US, both treated and untreated. These data are unique and widen our understanding of treatment decisions for the older AML population. With these data, we were able to confirm the developing view that leukemia therapy improves survival in older patients, even those aged up to 80 years, compared to other approaches.34,41,42,44
During recent years, several investigational agents have been explored for patients who are considered unfit for intensive chemotherapy.11-13,39,45,46 In our cohort, we observed the rapid introduction of hypomethylating agents into practice, even in 2006 and 2007, before there was any mature published data on their use in AML. Although the definition of patients not fit for intensive chemotherapy may be subjective and vary according to the opinion of the individual physician, patients' preference or poor performance status with serious comorbidities, we can infer that our hypomethylating group actually represented those less fit, as they were older and had more prior MDS compared to the chemotherapy group. Among AML patients receiving hypomethylating agents in 2005-2007, the observed median OS was nine months, with only 18.7% ED. Despite their adverse prognostic factors, these results are encouraging and support the view that a subgroup of patients might enjoy longer survival using these agents and be spared some of the risks associated with traditional intensive induction therapy.
For selected older patients with AML, allo-HCT using reduced intensity conditioning (RIC) may represent an important and potentially curative approach. However, we observed that only 0.8% of patients in our cohort received an allo-HCT and noted that HLA testing, which can be used as a surrogate marker for consideration of allo-HCT, was performed in only 2.4% of all patients. Recently, Estey et al.47 showed similar findings; only 14 of 259 AML patients (5.4%) over the age of 50 years underwent allo-HCT at the MD Anderson Cancer Center, a tertiary academic center. This is most likely due to concerns about the increased morbidity and mortality associated with allo-HCT in older patients. This presumption may be partially countered by the recent findings of McClune et al. showing that transplantation toxicity, relapse, and survival for older adults are not significantly different from those for younger adults, even in patients aged over 65 years.48 Despite the limitations in our data, the observed median survival with allo-HCT of 22 months was encouraging and exceeded the median survival achieved with any leukemia therapy.
In this large, population-based study of older AML patients, we found that many older AML patients are not fully evaluated at diagnosis, and most do not receive leukemia therapy. Although the results of therapy remain unsatisfactory, even in this older group their survival is markedly prolonged with leukemia therapy, and for a few with allo-HCT. The perception of older AML as an untreatable disease has to change. Individualized management based on comorbidity scores and phenotypically defined subgroups should be studied and widely implemented.
Clinical therapies using novel agents should be the priority for patients less likely to benefit from intensive therapy, while for medically fit patients, modern intensive therapy followed by allo-HCT should be considered. We hope that the next decade will see an improvement in the approach to treatment for older AML patients based upon proper diagnostic prognostication and a broader application of currently available and new therapies.
Acknowledgments
this study was conducted when the corresponding author was a faculty member at the University of Minnesota. The authors gratefully acknowledge the efforts of Dr. Beth A. Virnig, University of Minnesota for her contribution to the production of this paper in its present form. She shared her valuable comments on study design, analysis and interpretation of the results, and critical drafting of the manuscript.
Footnotes
- ↵Supplementary information is available at Leukemia's website. The online version of this article has a Supplementary Appendix.
- Authorship and Disclosures: The information provided by the authors about contributions from persons listed as authors and in acknowledgments is available with the full text of this paper at www.haematologica.org. Financial and other disclosures provided by the authors using the ICMJE (www.icmje.org) Uniform Format for Disclosure of Competing Interests are also available at www.haematologica.org.
- Received March 20, 2012.
- Revision received May 9, 2012.
- Accepted June 22, 2012.
References
- Cancer Facts and Figures 2011. American Cancer Society: Atlanta, Ga.Google Scholar
- Juliusson G, Antunovic P, Derolf A, Lehmann S, Mollgard L, Stockelberg D. Age 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. PubMedhttps://doi.org/10.1182/blood-2008-07-172007Google Scholar
- Lerch E, Espeli V, Zucca E, Leoncini L, Scali G, Mora O. Prognosis of acute myeloid leukemia in the general population: data from southern Switzerland. Tumori. 2009; 95(3):303-10. PubMedGoogle Scholar
- Alibhai SM, Leach M, Minden MD, Brandwein J. Outcomes and quality of care in acute myeloid leukemia over 40 years. Cancer. 2009; 115(13):2903-11. PubMedhttps://doi.org/10.1002/cncr.24373Google Scholar
- Juliusson G, Billstrom R, Gruber A, Hellstrom-Lindberg E, Hoglunds M, Karlsson K. Attitude towards remission induction for elderly patients with acute myeloid leukemia influences survival. Leukemia. 2006; 20(1):42-7. PubMedhttps://doi.org/10.1038/sj.leu.2404004Google Scholar
- Appelbaum FR, Gundacker H, Head DR, Slovak ML, Willman CL, Godwin JE. Age and acute myeloid leukemia. Blood. 2006; 107(9):3481-5. PubMedhttps://doi.org/10.1182/blood-2005-09-3724Google Scholar
- Menzin J, Lang K, Earle CC, Kerney D, Mallick R. The outcomes and costs of acute myeloid leukemia among the elderly. Arch Intern Med. 2002; 162(14):1597-603. PubMedhttps://doi.org/10.1001/archinte.162.14.1597Google Scholar
- Pulsoni A, Pagano L, Latagliata R, Casini M, Cerri R, Crugnola M. Survival of elderly patients with acute myeloid leukemia. Haematologica. 2004; 89(3):296-302. PubMedGoogle Scholar
- Lang K, Earle CC, Foster T, Dixon D, Van Gool R, Menzin J. Trends in the treatment of acute myeloid leukaemia in the elderly. Drugs Aging. 2005; 22(11):943-55. PubMedhttps://doi.org/10.2165/00002512-200522110-00004Google Scholar
- Farag SS, Maharry K, Zhang MJ, Perez WS, George SL, Mrozek K. Comparison of reduced-intensity hematopoietic cell transplantation with chemotherapy in patients age 60-70 years with acute myelogenous leukemia in first remission. Biol Blood Marrow Transplant. 2011; 17(12):1796-803. PubMedhttps://doi.org/10.1016/j.bbmt.2011.06.005Google Scholar
- Fenaux P, Mufti GJ, Hellstrom-Lindberg E, Santini V, Gattermann N, Germing U. Azacitidine prolongs overall survival compared with conventional care regimens in elderly patients with low bone marrow blast count acute myeloid leukemia. J Clin Oncol. 2010; 28(4):562-9. PubMedhttps://doi.org/10.1200/JCO.2009.23.8329Google Scholar
- Cashen AF, Schiller GJ, O'Donnell MR, DiPersio JF. Multicenter, phase II study of decitabine for the first-line treatment of older patients with acute myeloid leukemia. J Clin Oncol. 2010; 28(4):556-61. PubMedhttps://doi.org/10.1200/JCO.2009.23.9178Google Scholar
- Balakrishnan K, Verma D, O'Brien S, Kilpatrick JM, Chen Y, Tyler BF. Phase 2 and pharmacodynamic study of oral forodesine in patients with advanced, fludarabine-treated chronic lymphocytic leukemia. Blood. 2010; 116(6):886-92. PubMedhttps://doi.org/10.1182/blood-2010-02-272039Google Scholar
- Giralt S, Estey E, Albitar M, van Besien K, Rondon G, Anderlini P. Engraftment of allogeneic hematopoietic progenitor cells with purine analog-containing chemotherapy: harnessing graft-versus-leukemia without myeloablative therapy. Blood. 1997; 89(12):4531-6. PubMedGoogle Scholar
- Slavin S, Nagler A, Naparstek E, Kapelushnik Y, Aker M, Cividalli G. Nonmyeloablative stem cell transplantation and cell therapy as an alternative to conventional bone marrow transplantation with lethal cytoreduction for the treatment of malignant and nonmalignant hematologic diseases. Blood. 1998; 91(3):756-63. PubMedGoogle Scholar
- Baron F, Maris MB, Sandmaier BM, Storer BE, Sorror M, Diaconescu R. Graft-versus-tumor effects after allogeneic hematopoietic cell transplantation with nonmyeloablative conditioning. J Clin Oncol. 2005; 23(9):1993-2003. PubMedhttps://doi.org/10.1200/JCO.2005.08.136Google Scholar
- Hegenbart U, Niederwieser D, Sandmaier BM, Maris MB, Shizuru JA, Greinix H. Treatment for acute myelogenous leukemia by low-dose, total-body, irradiation-based conditioning and hematopoietic cell transplantation from related and unrelated donors. J Clin Oncol. 2006; 24(3):444-53. PubMedhttps://doi.org/10.1200/JCO.2005.03.1765Google Scholar
- Google Scholar
- Nattinger AB, McAuliffe TL, Schapira MM. Generalizability of the surveillance, epidemiology, and end results registry population: factors relevant to epidemiologic and health care research. J Clin Epidemiol. 1997; 50(8):939-45. PubMedhttps://doi.org/10.1016/S0895-4356(97)00099-1Google Scholar
- Warren JL, Klabunde CN, Schrag D, Bach PB, Riley GF. Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population. Med Care. 2002; 40(8 Suppl):IV-3-18. PubMedGoogle Scholar
- Google Scholar
- HCPCS. Practice Management Information Corporation: Los Angeles, CA; 2005. Google Scholar
- Google Scholar
- Klabunde CN, Potosky AL, Legler JM, Warren JL. Development of a comorbidity index using physician claims data. J Clin Epidemiol. 2000; 53(12):1258-67. PubMedhttps://doi.org/10.1016/S0895-4356(00)00256-0Google Scholar
- Klabunde CN, Legler JM, Warren JL, Baldwin LM, Schrag D. A refined comorbidity measurement algorithm for claims-based studies of breast, prostate, colorectal, and lung cancer patients. Ann Epidemiol. 2007; 17(8):584-90. PubMedhttps://doi.org/10.1016/j.annepidem.2007.03.011Google Scholar
- Google Scholar
- Google Scholar
- Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987; 40(5):373-83. PubMedhttps://doi.org/10.1016/0021-9681(87)90171-8Google Scholar
- Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992; 45(6):613-9. PubMedhttps://doi.org/10.1016/0895-4356(92)90133-8Google Scholar
- Romano PS, Roos LL, Luft HS, Jollis JG, Doliszny K. A comparison of administrative versus clinical data: coronary artery bypass surgery as an example. Ischemic Heart Disease Patient Outcomes Research Team. J Clin Epidemiol. 1994; 47(3):249-60. PubMedhttps://doi.org/10.1016/0895-4356(94)90006-XGoogle Scholar
- Kantarjian H, O'Brien S, Cortes J, Giles F, Faderl S, Jabbour E. Results of intensive chemotherapy in 998 patients age 65 years or older with acute myeloid leukemia or high-risk myelodysplastic syndrome: predictive prognostic models for outcome. Cancer. 2006; 106(5):1090-8. PubMedhttps://doi.org/10.1002/cncr.21723Google Scholar
- van der Holt B, Breems DA, Berna Beverloo H, van den Berg E, Burnett AK, Sonneveld P. Various distinctive cytogenetic abnormalities in patients with acute myeloid leukaemia aged 60 years and older express adverse prognostic value: results from a prospective clinical trial. Br J Haematol. 2007; 136(1):96-105. PubMedhttps://doi.org/10.1111/j.1365-2141.2006.06403.xGoogle Scholar
- Grimwade D, Walker H, Harrison G, Oliver F, Chatters S, Harrison CJ. The predictive value of hierarchical cytogenetic classification in older adults with acute myeloid leukemia (AML): analysis of 1065 patients entered into the United Kingdom Medical Research Council AML11 trial. Blood. 2001; 98(5):1312-20. PubMedhttps://doi.org/10.1182/blood.V98.5.1312Google Scholar
- Taylor PR, Reid MM, Stark AN, Bown N, Hamilton PJ, Proctor SJ. De novo acute myeloid leukaemia in patients over 55-years-old: a population-based study of incidence, treatment and outcome. Northern Region Haematology Group. Leukemia. 1995; 9(2):231-7. PubMedGoogle Scholar
- Lancet JE, Willman CL, Bennett JM. Acute myelogenous leukemia and aging. Clinical interactions. Hematol Oncol Clin North Am. 2000; 14(1):251-67. PubMedhttps://doi.org/10.1016/S0889-8588(05)70287-2Google Scholar
- Ma X, Wang R. Ascertainment of patients with myelodysplastic syndromes. J Clin Oncol. 2011; 29(1):e16. PubMedhttps://doi.org/10.1200/JCO.2010.31.8287Google Scholar
- Sekeres MA, Elson P, Kalaycio ME, Advani AS, Copelan EA, Faderl S. Time from diagnosis to treatment initiation predicts survival in younger, but not older, acute myeloid leukemia patients. Blood. 2009; 113(1):28-36. PubMedhttps://doi.org/10.1182/blood-2008-05-157065Google Scholar
- Cheson BD, Jasperse DM, Simon R, Friedman MA. A critical appraisal of lowdose cytosine arabinoside in patients with acute non-lymphocytic leukemia and myelodysplasticsyndromes. J Clin Oncol. 1986; 4(12):1857-64. PubMedGoogle Scholar
- Burnett AK, Milligan D, Prentice AG, Goldstone AH, McMullin MF, Hills RK. A comparison of low-dose cytarabine and hydroxyurea with or without all-trans retinoic acid for acute myeloid leukemia and high-risk myelodysplastic syndrome in patients not considered fit for intensive treatment. Cancer. 2007; 109(6):1114-24. PubMedhttps://doi.org/10.1002/cncr.22496Google Scholar
- Hutchins LF, Unger JM, Crowley JJ, Coltman CA, Albain KS. Underrepresentation of patients 65 years of age or older in cancer-treatment trials. N Engl J Med. 1999; 341(27):2061-7. PubMedhttps://doi.org/10.1056/NEJM199912303412706Google Scholar
- de Jonge HJ, de Bont ES, Valk PJ, Schuringa JJ, Kies M, Woolthuis CM. AML at older age: age-related gene expression profiles reveal a paradoxical down-regulation of p16INK4A mRNA withprognostic significance. Blood. 2009; 114(14):2869-77. PubMedhttps://doi.org/10.1182/blood-2009-03-212688Google Scholar
- Goldstone AH, Burnett AK, Wheatley K, Smith AG, Hutchinson RM, Clark RE. Attempts to improve treatment outcomes in acute myeloid leukemia (AML) in older patients: the results of the United Kingdom Medical Research Council AML11 trial. Blood. 2001; 98(5):1302-11. PubMedhttps://doi.org/10.1182/blood.V98.5.1302Google Scholar
- Kantarjian H, Ravandi F, O'Brien S, Cortes J, Faderl S, Garcia-Manero G. Intensive chemotherapy does not benefit most older patients (age 70 years or older) with acute myeloid leukemia. Blood. 2010; 116(22):4422-9. PubMedhttps://doi.org/10.1182/blood-2010-03-276485Google Scholar
- Lowenberg B, Zittoun R, Kerkhofs H, Jehn U, Abels J, Debusscher L. On the value of intensive remission-induction chemotherapy in elderly patients of 65+ years with acute myeloid leukemia: a randomized phase III study of the European Organization for Research and Treatment of Cancer Leukemia Group. J Clin Oncol. 1989; 7(9):1268-74. PubMedGoogle Scholar
- Larson RA, Boogaerts M, Estey E, Karanes C, Stadtmauer EA, Sievers EL. Antibody-targeted chemotherapy of older patients with acute myeloid leukemia in first relapse using Mylotarg (gemtuzumab ozogamicin). Leukemia. 2002; 16(9):1627-36. PubMedhttps://doi.org/10.1038/sj.leu.2402677Google Scholar
- Faderl S, Ravandi F, Huang X, Garcia-Manero G, Ferrajoli A, Estrov Z. A randomized study of clofarabine versus clofarabine plus low-dose cytarabine as frontline therapy for patients aged 60 years and older with acute myeloid leukemia and high-risk myelodysplastic syndrome. Blood. 2008; 112(5):1638-45. PubMedhttps://doi.org/10.1182/blood-2007-11-124602Google Scholar
- Estey E, de Lima M, Tibes R, Pierce S, Kantarjian H, Champlin R. Prospective feasibility analysis of reducedintensity conditioning (RIC) regimens for hematopoietic stem cell transplantation (HSCT) in elderly patients with acute myeloid leukemia (AML) and high-risk myelodysplastic syndrome (MDS). Blood. 2007; 109(4):1395-400. PubMedhttps://doi.org/10.1182/blood-2006-05-021907Google Scholar
- McClune BL, Weisdorf DJ, Pedersen TL, Tunes da Silva G, Tallman MS, Sierra J. Effect of age on outcome of reducedintensity hematopoietic cell transplantation for older patients with acute myeloid leukemia in first complete remission or with myelodysplastic syndrome. J Clin Oncol. 2010; 28(11):1878-87. PubMedhttps://doi.org/10.1200/JCO.2009.25.4821Google Scholar