Impact of socioeconomic status and distance from treatment center on survival in patients receiving remission induction therapy for newly diagnosed acute myeloid leukemia

The intersection of travel burdens and financial hardship in cancer care: a scoping review

BACKGROUND

In addition to greater delays in cancer screening and greater financial hardship, rural-dwelling cancer patients experience greater costs associated with accessing cancer care, including higher cumulative travel costs. This study aimed to identify and synthesize peer-reviewed research on the cumulative and overlapping costs associated with care access and utilization.

METHODS

A scoping review was conducted to identify relevant studies published after 1995 by searching 5 electronic databases: PubMed, Scopus, Cumulative Index of Nursing and Allied Health Literature (CINAHL), PsycInfo, and Healthcare Administration. Eligibility was determined using the PEO (Population, Exposure, and Outcomes) method, with clearly defined populations (cancer patients), exposures (financial hardship, toxicity, or distress; travel-related burdens), and outcomes (treatment access, treatment outcomes, health-related quality of life, and survival/mortality). Study characteristics, methods, and findings were extracted and summarized.

RESULTS

Database searches yielded 6439 results, of which 3366 were unique citations. Of those, 141 were eligible for full-text review, and 98 studies at the intersection of cancer-related travel burdens and financial hardship were included. Five themes emerged as we extracted from the full texts of the included articles: 1) Cancer treatment choices, 2) Receipt of guideline-concordant care, 3) Cancer treatment outcomes, 4) Health-related quality of life, and 5) Propensity to participate in clinical trials.

CONCLUSIONS

This scoping review identifies and summarizes available research at the intersection of cancer care-related travel burdens and financial hardship. This review will inform the development of future interventions aimed at reducing the negative effects of cancer-care related costs on patient outcomes and quality of life.

Disparities in acute myeloid leukemia treatments and outcomes

PURPOSE OF REVIEW

This review aims to summarize different contributors to survival disparities in acute myeloid leukemia (AML) patients. The focus is set on African-American (hereafter referred to as Black) patients, with separate consideration of self-reported race and ancestry. It aims to also highlight the interconnectivity of the different features that impact on despair survival.

RECENT FINDINGS

The main themes in the literature covered in this article include the impact of social deprivation, clinical trial enrollment and biobanking, structural racism and ancestry-associated differences in genetic features on survival outcomes.

SUMMARY

An increasing number of studies have not only shown persistent survival disparities between Black and non-Hispanic White AML patients, but uncovered a multitude of contributors that have additive adverse effects on patient outcomes. In addition to potentially modifiable features, such as socioeconomic factors and trial enrollment odds that require urgent interventions, there is emerging data on differences in disease biology with respect to genetic ancestry, including frequencies of known AML-driver mutations and their associated prognostic impact.

Disparities in survival of hematologic malignancies in the context of social determinants of health: a systematic review

Social determinants of health (SDHs) have been reported as relevant factors responsible for health inequity. We sought to assess clinical data from observational studies conducted in the United States evaluating the impact of SDHs on the outcomes of patients with hematologic malignancies. Thus, we performed a systematic review in 6 databases on 1 September 2021, in which paired reviewers independently screened studies and included data from 41 studies. We assessed the risk of bias using the Joanna Briggs Institute appraisal tools and analyzed the data using a descriptive synthesis. The most common SDH domains explored were health care access and quality (54.3%) and economic stability (25.6%); others investigated were education (19%) and social and community context (7.8%). We identified strong evidence of 5 variables significantly affecting survival: lack of health insurance coverage or having Medicare or Medicaid insurance, receiving cancer treatment at a nonacademic facility, low household income, low education level, and being unmarried. In contrast, the reports on the effect of distance traveled to the treatment center are contradictory. Other SDHs examined were facility volume, provider expertise, poverty, and employment rates. We identified a lack of data in the literature in terms of transportation, debt, higher education, diet, social integration, environmental factors, or stress. Our results underscore the complex nature of social, financial, and health care barriers as intercorrelated variables. Therefore, the management of hematologic malignancies needs concerted efforts to incorporate SDHs into clinical care, research, and public health policies, identifying and addressing the barriers at a patient-based level to enhance outcome equity (PROSPERO CRD42022346854).

Impact of Geographical Distance from Quaternary Treatment Center on Clinical Trial Participation, Intensive Induction Chemotherapy, and Outcomes in Patients with Newly Diagnosed Acute Myeloid Leukemia

INTRODUCTION

Care for patients with acute myeloid leukemia (AML) is centralized in the Ontario single-payer public healthcare system, with intensive induction chemotherapy and clinical trials only offered at specialized cancer centers with large catchment areas.

METHODS

We therefore conducted a retrospective single-center review of all AML patients assessed at a large specialized cancer center in Ontario, Canada.

RESULTS

Between 2012 and 2017, 1,310 patients were assessed by our center for upfront AML therapy. The median distance was 33.1 km, with 29% of patients living more than 50 km away from the center. There was no significant difference in probability of intensive induction chemotherapy or clinical trial by distance from center, both in univariate and multivariable analysis adjusting for age, sex, cytogenetics and molecular testing, and performance status. There was no significant difference in overall survival by distance from center on univariate and multivariable analysis.

CONCLUSION

In conclusion, geographic distance from treatment center does not appear to impact choice of upfront therapy, participation in clinical trials, or clinical outcomes in this study of newly diagnosed patients with AML treated in a single-payer environment.

Effects of Distance From Academic Cancer Center on Overall Survival of Acute Myeloid Leukemia: Retrospective Analysis of Treated Patients

INTRODUCTION

Patients living farther away from academic centers may not have easy access to resources for management of acute myeloid leukemia (AML). We aimed to analyze the effect of distance traveled on overall survival (OS) of AML patients treated at an academic center.

PATIENTS AND METHODS

AML patients diagnosed at the University of Nebraska Medical Center were divided into 4 groups according to the shortest distance between the cancer center and patients' residence (<25, 25-50, 50-100, and > 100 miles). Chi-square test and ANOVA were used to examine the association of distance with patient characteristics. OS, defined as the time from diagnosis of AML to death from any cause, was determined by the Kaplan-Meier method. Comparison of survival curves was done by the log-rank test. Multivariable analysis using Cox regression was performed to detect the survival effect of distance from the cancer center.

RESULTS

The total number of patients was 449. Median distance was 85 miles (interquartile range, 20-180). OS at 1 year for < 25, 25-50, 50-100, and > 100 miles was 45%, 55%, 38%, and 40% respectively (P = .6). In a Cox regression analysis, distance from treatment center, as a continuous variable, was not a significant factor for death (hazard ratio, 1.001; 95% confidence interval, 1.000-1.001). Multivariable analysis showed nonsignificant trend of increased mortality for patients traveling > 100 miles to a cancer center.

CONCLUSION

This study did not demonstrate an association between distance from an academic cancer center and OS in AML. This finding should provide some assurance to patients who live farther away from academic centers.

Distance to treatment center is associated with survival in children and young adults with acute lymphoblastic leukemia

BACKGROUND

Socioeconomic and demographic categories such as income, race, insurance status, and treatment center type are associated with outcomes in acute leukemia. This study was aimed at determining whether the distance to treatment center affects overall survival for children and young adults with acute leukemia.

METHODS

The National Cancer Database was queried for patients 39 years old or younger who were diagnosed with acute myeloid leukemia (AML) or acute lymphoblastic leukemia (ALL). A backward elimination procedure was used to select final multivariate Cox models.

RESULTS

In total, 12,301 patients with AML and 22,683 patients with ALL were analyzed. The ALL model included distance to treatment center, Charlson-Deyo score, age, race, insurance status, and community income level. US census definitions of urban and rural were not statistically significant, and no interaction was significant for included variables. Compared with distances > 50 miles, all other distances were associated with improved survival (hazard ratio [HR] for ≤10 miles, 0.91; P = .04; HR for >10 to ≤20 miles, 0.86; P = .004; HR for >20 to ≤50 miles, 0.87; P = .005). The final model for AML included the same variables as the ALL model except for distance to treatment center, which was not statistically significant.

CONCLUSIONS

For children and young adults with ALL, distances > 50 miles are associated with inferior overall survival; however, no difference is seen for AML. Although it is unknown whether differences in survival for patients with ALL based on distance are driven by relapse or treatment-related mortality, increased attention to adherence, supportive care, and logistics for patients traveling long distances is warranted.

LAY SUMMARY

For children and young adults with acute lymphoblastic leukemia, living more than 50 miles from the treatment center is associated with worse outcomes.

Socioeconomic deprivation is associated with decreased survival in patients with acute myeloid leukemia

BACKGROUND

Socioeconomic deprivation is associated with poor prognosis in patients with solid tumors. However, few studies have assessed the association between socioeconomic parameters and prognosis in Acute Myeloid Leukemia (AML), and these report conflicting results. Our monocentric study assessed the impact of socioeconomic deprivation using the validated EPICES (Evaluation of Deprivation and Inequalities in Health Examination Centers) score in a prospective cohort of intensively treated AML patients.

METHODS

EPICES questionnaires were given to patients receiving intensive chemotherapy for newly diagnosed AML at the Paoli Calmettes Institute between July 2012 and December 2014. Study participants were categorized as non-deprived (score <30.17), deprived (score 30.17-48.51), or very-deprived (score ≥ 48.52). The primary endpoint was Overall Survival (OS). The independence of EPICES score effects was analyzed via Cox regression with adjustment for confounding factors.

RESULTS

209 AML patients received the questionnaire, 149 (71.3 %) patients responded. The median EPICES score was 23.6; 26.8 % and 10.1 % of patients were deprived and very deprived, respectively. OS was 23.16 months (95 %CI [17.15-33.31]). According to multivariate analysis, a very-deprived EPICES score, European Leukemia Net categories, age, smoking, and the absence of allogeneic stem cell transplantation were independent factors associated with decreased OS.

CONCLUSION

Our results underscore the importance of integrating nonbiological factors in the prognostic stratification of AML patients. The very deprived population exhibited worse OS, confirming that socioeconomic parameters play a role in patient outcomes in AML. Very deprived patients with AML should receive specific attention and adapted clinical management.

Longer distance to specialized treatment centers does not adversely affect treatment intensity or outcomes in adult acute myeloid leukemia patients. A Danish national population-based cohort study

Background

Treatment of acute myeloid leukemia (AML) is widely centralized. Longer distances to a specialized treatment center may affect patients’ access to curative-intended treatment. Especially during outpatient treatment, distance may also affect survival.

Methods and patients

The authors conducted a national population-based cohort study including all AML patients diagnosed in Denmark between 2000 and 2014. We investigated effects of distance (<10 kilometers [km; reference], 10–25, 25–50, 50–100, >100) to the nearest specialized treatment facility on the probability of receiving intensive chemotherapy, HSCT, and achieving a complete remission (CR) using logistic regression analysis (odds ratios; ORs). For overall survival, we used Cox proportional hazards regression (hazard ratios [HRs]) and adjusted (a) for relevant baseline characteristics.

Results

Of 2,992 patients (median age=68.5 years), 53% received intensive chemotherapy and 12% received low-dose chemotherapy outpatient regimens. The median distance to a specialized treatment center was 40 km (interquartile range=10–77 km). No impact of distance to specialized treatment centers was seen on the probability of receiving intensive chemotherapy (10–25 km, aOR=1.1 (CI=0.7–1.7), 25–50 km, aOR=1.1 (CI=0.7–1.7), 50–100 km, aOR=1.3 (CI=0.9–1.9), and >100 km, aOR=1.4 [CI=0.9–2.2]). Overall survival in patients regardless of therapy (<10 km, aOR=1.0 vs >100 km, aOR=1.0 [CI=0.9–1.2]), in intensive therapy patients, or in patients’ choice of post-remission was not affected by distance to specialized treatment center. Distance to a transplant center also did not affect the probability of HSCT or survival post-HSCT.

Conclusion

In Denmark, distance to a specialized treatment facility offering remission-induction chemotherapy and HSCT does not negatively affect access to curative-indented therapy, treatment-response, or survival in AML patients.

The Effects of Travel Burden on Outcomes After Resection of Extrahepatic Biliary Malignancies: Results from the US Extrahepatic Biliary Consortium

BACKGROUND

Surgical resection of extrahepatic biliary malignancies has been increasingly centralized at high-volume tertiary care centers. While this has improved outcomes overall, increased travel burden has been associated with worse survival for many other malignancies. We hypothesized that longer travel distances are associated with worse outcomes for these patients as well.

STUDY DESIGN

Data was analyzed from the US Extrahepatic Biliary Consortium database, which retrospectively reviewed patients who received resection of extrahepatic biliary malignancies at 10 high-volume centers. Driving distance to the patient's treatment center was measured for 1025 patients. These were divided into four quartiles for analysis: < 24.5, 24.5-57.2, 57.2-117, and < 117 mi. Cox proportional hazard models were then used to measure differences in overall survival.

RESULTS

No difference was found between the groups in severity of disease or post-operative complications. The median overall survival in each quartile was as follows: 1st = 1.91, 2nd = 1.60, 3rd = 1.30, and 4th = 1.39 years. Patients in the 3rd and 4th quartile had a significantly lower median household income (p = 0.0001) and a greater proportion Caucasian race (p = 0.0001). However, neither of these was independently associated with overall survival. The two furthest quartiles were found to have decreased overall survival (HR = 1.39, CI = 1.12-1.73 and HR = 1.3, CI = 1.04-1.62), with quartile 3 remaining significant after multivariate analysis (HR = 1.45, CI = 1.04-2.0, p = 0.028).

CONCLUSIONS

Longer travel distances were associated with decreased overall survival, especially in the 3rd quartile of our study. Patients traveling longer distances also had a lower household income, suggesting that these patients have significant barriers to care.

Effects of Education and Income on Treatment and Outcome in Patients With Acute Myeloid Leukemia in a Tax-Supported Health Care System: A National Population-Based Cohort Study

Purpose Previous US studies have shown that socioeconomic status (SES) affects survival in acute myeloid leukemia (AML). However, no large study has investigated the association between education or income and clinical characteristics, treatment, and outcome in AML. Methods To investigate the effects of education and income in a tax-supported health care system, we conducted a population-based study using individual-level SES and clinical data on all Danish patients with AML (2000 to 2014). We compared treatment intensity, allogeneic transplantation, and response rates by education and income level using logistic regression (odds ratios). We used Cox regression (hazard ratios [HRs]) to compare survival, adjusting for age, sex, SES, and clinical prognostic markers. Results Of 2,992 patients, 1,588 (53.1%) received intensive chemotherapy. Compared with low-education patients, highly educated patients more often received allogeneic transplantation (16.3% v 8.7%). In intensively treated patients younger than 60 years of age, increased mortality was observed in those with lower and medium education (1-year survival, 66.7%; adjusted HR, 1.47; 95% CI, 1.11 to 1.93; and 1-year survival, 67.6%; adjusted HR, 1.55; CI, 1.21 to 1.98, respectively) compared with higher education (1-year survival, 76.9%). Over the study period, 5-year survival improvements were limited to high-education patients (from 39% to 58%), increasing the survival gap between groups. In older patients, low-education patients received less intensive therapy (30% v 48%; adjusted odds ratio, 0.65; CI, 0.44 to 0.98) compared with high-education patients; however, remission rates and survival were not affected in those intensively treated. Income was not associated with therapy intensity, likelihood of complete remission, or survival (high income: adjusted HR, 1.0; medium income: adjusted HR, 0.96; 95% CI, 0.82 to 1.12; low income: adjusted HR, 1.06; CI, .88 to 1.27). Conclusion In a universal health care system, education level, but not income, affects transplantation rates and survival in younger patients with AML. Importantly, recent survival improvement has exclusively benefitted highly educated patients.

Impact of care at comprehensive cancer centers on outcome: Results from a population-based study

BACKGROUND

Rigorous processes ensure quality of research and clinical care at National Cancer Institute-designated comprehensive cancer centers (NCICCCs). Unmeasurable elements of structure and process of cancer care delivery warrant evaluation. To the authors' knowledge, the impact of NCICCC care on survival and access to NCICCCs for vulnerable subpopulations remain unstudied.

METHODS

The current study's population-based cohort of 69,579 patients had newly diagnosed adult-onset (aged 22-65 years) cancers reported to the Los Angeles County cancer registry between 1998 and 2008. Geographic information systems were used for geospatial analysis.

RESULTS

With regard to overall survival across multiple diagnoses, patients not receiving their first planned treatment at NCICCCs experienced poorer outcomes compared with those treated at NCICCCs; differences persisted on multivariable analyses after adjusting for clinical and sociodemographic factors (hepatobiliary: hazard ratio [HR], 1.5; 95% confidence interval [95% CI], 1.4-1.7 [P<.001]; lung: HR, 1.4; 95% CI, 1.3-1.6 [P<.001]; pancreatic: HR, 1.5; 95% CI, 1.3-1.7 [P<.001]; gastric: HR, 1.3; 95% CI, 1.1-1.7 [P = .01]; breast: HR, 1.3; 95% CI, 1.1-1.5 [P<.001]; and colorectal: HR, 1.2; 95% CI, 1.0-1.4 [P = .05]). With regard to barriers to care, multivariable analyses revealed that a lower likelihood of treatment at NCICCCs was associated with race/ethnicity (African-American: OR range across diagnoses: 0.4-0.7 [P<.03]; Hispanic: OR range, 0.5-0.7 [P<.04]); lack of private insurance (public: OR range, 0.6-0.8 [P<.004]; uninsured: OR range, 0.1-0.5 [P<.04]); less than high socioeconomic status (high-middle: OR range, 0.4-0.7 [P<.02]; middle: OR range, 0.3-0.5 [P<.001]; and low: OR range, 0.2-0.6 [P<.01]), and residing >9 miles from the nearest NCICCC (OR range, 0.5-0.7 [P<.02]).

CONCLUSIONS

Among individuals aged 22 to 65 years residing in Los Angeles County with newly diagnosed adult-onset cancer, those who were treated at NCICCCs experienced superior survival compared with those treated at non-NCICCC facilities. Barriers to care at NCICCCs included race/ethnicity, insurance, socioeconomic status, and distance to an NCICCC.

Age and genetics: how do prognostic factors at diagnosis explain disparities in acute myeloid leukemia?

OBJECTIVES

Survival disparities in acute myeloid leukemia (AML) among blacks and Hispanics have been described but not studied extensively in adults. Although younger age and cytogenetic profiles of t(8;21) and acute promyelocytic leukemia (APL) subtypes of AML are associated with improved survival, these factors have not been investigated by race. The purpose is to evaluate whether the observed survival differences for blacks and Hispanics with AML are attributable to older age at diagnosis or lower rates of favorable cytogenetic profiles at diagnosis. The hypothesis is that survival disparities for blacks and Hispanics with AML will be explained by older age at diagnosis and lower rates of favorable cytogenetics.

METHODS

Patients with AML were identified in the Surveillance Epidemiology and End Results database (1999 to 2008). Kaplan-Meier (KM) survival curves predicted survival by race/ethnicity, stratified by age. Cox proportional hazard models estimated mortality by race with adjustment for age, sex, year of diagnosis, t(8;21), and APL subtypes.

RESULTS

A total of 25,692 patients were included. Blacks and Hispanics were diagnosed at younger ages (younger than 61 y), and had higher rates of t(8;21) and APL compared with non-Hispanic whites (NHWs). The overall KM curve shows that NHWs had a worse survival compared with other races/ethnicities. However, when KM curves were stratified by age, blacks and Hispanics had worse survival in younger age categories (younger than 61 y). In multivariable models, black race was associated with an increased risk of death compared with NHWs (HR, 1.10; 95% CI, 1.04-1.16). Adjustment for t(8;21) and APL subtypes did not attenuate the disparity.

CONCLUSIONS

Despite younger age and higher prevalence of favorable cytogenetics at diagnosis, blacks and Hispanics have an increased mortality from AML compared with other racial/ethnic groups. Future studies should investigate other factors that may influence outcomes among minority populations.

Understanding disparities in leukemia: a national study

PURPOSE

Disparities in solid tumors have been well studied. However, disparities in hematologic malignancies have been relatively unexplored on population-based levels. The purpose of this study is to examine the relationship between race/ethnicity and acute leukemia mortality.

METHODS

All patients with acute leukemia [acute lymphoblastic leukemia (ALL) and acute myelogenous leukemia (AML)] were identified in the Surveillance Epidemiology and End Results database, 1999-2008. Kaplan-Meier curves were generated to reflect survival probabilities by race/ethnicity. Multivariable Cox proportional hazard models estimated hazard of mortality by race with adjustment for individual (age, gender, year of diagnosis) and select genetic factors.

RESULTS

A total of 39,002 patients with acute leukemia were included in the study. Overall, there was a mortality disparity in acute leukemia for blacks (HR 1.17, p < 0.0001) and Hispanics (HR 1.13, p < 0.0001) compared with non-Hispanic whites. In stratified analysis, disparities in ALL were greater than AML; blacks (HR[ALL]1.45, p < 0.0001; HR[AML]1.12, p < 0.0011); Hispanics (HR[ALL]1.46, p < 0.0001; HR[AML]1.06, p < 0.0001). Adjustment for individual patient and select genetic factors did not explain disparities.

CONCLUSIONS

Blacks and Hispanics suffer decreased survival in acute leukemia as compared to others. Further investigation is needed to understand the drivers of poor cancer outcomes in these populations.

Cancer disparities in the context of Medicaid insurance: a comparison of survival for acute myeloid leukemia and Hodgkin's lymphoma by Medicaid enrollment

BACKGROUND

Because poverty is difficult to measure, its association with outcomes for serious illnesses such as hematologic cancers remains largely uncharacterized. Using Medicaid enrollment as a proxy for poverty, we aimed to assess potential disparities in survival after a diagnosis of acute myeloid leukemia (AML) or Hodgkin's lymphoma (HL) in a nonelderly population.

METHODS

We used records from the New York (NY) and California (CA) state cancer registries linked to Medicaid enrollment records for these states to identify Medicaid enrolled and nonenrolled patients aged 21-64 years with incident diagnoses of AML or HL in 2002-2006. We compared overall survival for the two groups using Kaplan-Meier curves and Cox proportional hazards analyses adjusted for sociodemographic and clinical factors.

RESULTS

For HL, the adjusted risk for death for Medicaid enrolled compared with nonenrolled patients was 1.98 (95% confidence interval [CI], 1.47-2.68) in NY and 1.89 (95% CI, 1.43-2.49) in CA. In contrast, for AML, Medicaid enrollment had no effect on survival (adjusted hazard ratio, 1.00; 95% CI, 0.84-1.19 in NY and hazard ratio, 1.02; 95% CI, 0.89-1.16 in CA). These results persisted despite adjusting for race/ethnicity and other factors.

CONCLUSIONS

Poverty does not affect survival for AML patients but does appear to be associated with survival for HL patients, who, in contrast to AML patients, require complex outpatient treatment. Challenges for the poor in adhering to treatment regimens for HL could explain this disparity and merit further study.

Surviving the Crisis of Relocation for Specialist Treatment in Haematology: Insights from New Zealand

Patients diagnosed with haematological malignancies require specialist treatments provided by major metropolitan hospitals. Those living outside the cities where the specialist care is located have to relocate for this specialist treatment. The findings presented in this article are from a program of research that documents the psychosocial impact of relocation on patients and their families. Prior Australian-based research conducted as part of the program indicates that the process of relocation exacerbates the stress of treatment and creates significant practical, emotional, social, and financial disruption to the families involved. The Australian findings provided the basis for a recent comparative study conducted by the program that explores the experience of relocation for haematology from the perspective of patients and their carers in New Zealand. The findings from the comparative study indicate that whilst there is evidence of similar psycho-social distress associated with relocation, there are a number of factors specific to living in New Zealand that ameliorate the impact, including smaller distances, strong community connections, and the participants' personal determination to retain the focus on living.

Neighborhood socioeconomic status influences the survival of elderly patients with myelodysplastic syndromes in the United States

The potential role of socioeconomic status (SES) in the survival of patients with myelodysplastic syndromes (MDS) has not been evaluated. We conducted the first study to assess the prognostic role of neighborhood SES among a cohort of 2,118 patients (age >/= 66 years) who were diagnosed with incident MDS in the United States during 2001-2002. Principal component analysis was used to develop a summary SES score by combining multiple measures of neighborhood SES. The score was then used to classify the census tract each patient resided in into a category of high, medium, or low SES. Hazard ratios (HRs) were estimated using multivariate Cox proportional hazard models. After adjusting for age, gender, comorbidities, and histological subtypes, compared with MDS patients lived in high-SES census tracts, those resided in medium (HR = 1.14, 95% CI: 1.01-1.30) and low (HR = 1.17, 95% CI: 1.02-1.34) SES census tracts had significantly increased the risks of death. The impact of SES on survival was more apparent for patients with refractory anemia with ringed sideroblasts-patients residing in medium (HR = 1.85, 95% CI: 1.17-2.91) and low (HR = 2.06, 95% CI: 1.27-3.37) census tracts had a nearly two-fold increased the risk of mortality, compared with those living in high-SES census tracts. In conclusion, this population-based study suggests that neighborhood SES status is a significant and independent determinant of survival among elderly patients with MDS in the United States.

Socioeconomic differences in patient survival are increasing for acute myeloid leukemia and multiple myeloma in sweden

PURPOSE

An association between socioeconomic status (SES) and survival in acute myeloid leukemia (AML) and multiple myeloma (MM) has not been established in developed countries. We assessed the impact of SES on survival in two large population-based cohorts of AML and MM patients diagnosed in Sweden 1973 to 2005.

PATIENTS AND METHODS

The relative risk of death (all cause and cause specific) in relation to SES was estimated using Cox's proportional hazards regression. We also conducted analyses stratified by calendar periods (1973 to 1979, 1980 to 1989, 1990 to 1999, and 2000 to 2005).

RESULTS

We identified a total of 9,165 and 14,744 patients with AML and MM, respectively. Overall, higher white-collar workers had a lower mortality than other SES groups for both AML (P = .005) and MM (P < .005). In AML patients, a consistently higher overall mortality was observed in blue-collar workers compared with higher white-collar workers in the last three periods (hazard ratio [HR], 1.26; 95% CI, 1.05 to 1.51; HR, 1.23; 95% CI, 1.05 to 1.45; HR, 1.28; 95% CI, 1.04 to 1.57, respectively). In MM, no difference was observed in the first two calendar periods. However, in 1990 to 1999, self-employed (HR, 1.18; 95% CI, 1.02 to 1.37), blue-collar workers (HR, 1.18; 95% CI, 1.04 to 1.32), and retired (HR, 1.45; 95% CI, 1.16 to 1.80) had a higher mortality compared to higher white-collar workers. In 2000 to 2005, blue-collar workers had a higher mortality (HR, 1.31; 95% CI, 1.07 to 1.60) compared with higher white-collar workers.

CONCLUSION

SES was significantly associated with survival in both AML and MM. Most conspicuously, a lower mortality was observed among the highest SES group during more recent calendar periods. Differences in management, comorbidity, and lifestyle, are likely factors to explain these findings.