scholarly journals Trends in medical and surgical admission length of stay by race/ethnicity and socioeconomic status: a time series analysis

Author(s):  
Arnab K Ghosh ◽  
Orysya Soroka ◽  
Mark A Unruh ◽  
Martin Shapiro

Length of stay, a metric of hospital efficiency, differs by race/ethnicity and socioeconomic status (SES). Longer LOS is associated with adverse health outcomes. We assessed differences in average adjusted length of stay (aALOS) over time by race/ethnicity, and SES stratified by discharge destination (home or non-home). Using the 2009-2014 State Inpatient Datasets from three states, we examined trends in aALOS differences by race/ethnicity, and SES (defined first vs fourth quartile of median income by zip code) controlling for patient, disease and hospital characteristics. For those discharged home, racial/ethnic and SES aALOS differences remained stable. Notably, for those discharged to non-home destinations, Black vs White, and low vs high SES aALOS differences increased significantly from 2009 to 2013, more sharply after Q3 2011, the introduction of the Affordable Care Act (ACA). Further research to understand the impact of the ACA on hospital efficiencies, and relationship to racial/ethnic and SES differences in LOS is warranted.

2021 ◽  
Vol 8 ◽  
pp. 233339282110355
Author(s):  
Arnab K. Ghosh ◽  
Mark A. Unruh ◽  
Orysya Soroka ◽  
Martin Shapiro

Background: Length of stay (LOS), a metric of hospital efficiency, differs by race/ethnicity and socioeconomic status (SES) and longer LOS is associated with adverse health outcomes. Historically, projects to improve LOS efficiency have yielded LOS reductions by 0.3 to 0.7 days per admission. Objective: To assess differences in average adjusted length of stay (aALOS) over time by race/ethnicity, and SES stratified by discharge destination (home or non-home). Method: Data were obtained from 2009-2014 Healthcare Cost and Utilization Project State Inpatient Datasets for New York, New Jersey, and Florida. Multivariate generalized linear models were used to examine trends in aALOS differences by race/ethnicity, and by high vs low SES patients (defined first vs fourth quartile of median income by zip code) controlling for patient, disease and hospital characteristics. Results: For those discharged home, racial/ethnic and SES aALOS differences remained stable from 2009 to 2014. However, among those discharged to non-home destinations, Black vs White aALOS differences increased from 0.21 days in Q1 2009, (95% confidence interval (CI): 0.13 to 0.30) to 0.32 days in Q3 2013, (95% CI: 0.23 to 0.40), and for low vs high SES patients from 0.03 days in Q1 2009 (95% CI: -0.04 to 0.1) to 0.26 days, (95% CI: 0.19 to 0.34). Notably, for patients not discharged home, racial/ethnic and SES aALOS differences increased and persisted after Q3 2011, coinciding with the introduction of the Affordable Care Act (ACA). Conclusion: Further research to understand the ACA’s policy impact on hospital efficiencies, and relationship to racial/ethnic and SES differences in LOS is warranted.


Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 3064-3064 ◽  
Author(s):  
K. Scott Baker ◽  
Anna Hassebroek ◽  
Karen Ballen ◽  
Carolyn Bigelow ◽  
Haydar Frangoul ◽  
...  

Abstract Prior studies suggest that success of HCT varies by race and ethnicity. This study examined whether disparate outcomes in URD-HCT are explained by socioeconomic status (SES), HLA disparity or other factors. Patients (n=6207) with acute or chronic leukemia or MDS, receiving myeloablative conditioning and URD HCT in the U.S., with available valid ZIP code, and reported to the CIBMTR between 1995–2004 were included. Patients were reported by the transplant center to be Caucasian (CC, n=5253), African American (AA, n=368), Asian/Pacific Islander (AP, n=141), or Hispanic (HS, n=445). We used 3 distinct HLA groupings with significantly different outcomes identified in another study to adjust for HLA disparity while accounting for best available resolution of typing. Well matched patients had no identified mismatches at HLA-A,B,C and DRB1 with low/intermediate or high resolution data available at HLA-A,B and high resolution DRB1. Partial matched patients had a single locus mismatch at any of the 4 loci and/or missing HLA-C data. Mismatched included any patient with 2 or more allele or antigen mismatches. Ethnic minorities were more likely than CC to have partially matched or mismatched donors. Patient income was estimated from reported residential ZIP code. The median follow-up of survivors ranged from 48 (AA and HS) to 66 months (CC). By Kaplan-Meier estimate, 1-year overall survival (OS) was 47% in CC, 32% in AA, 43% in AP, and 41% in HS (p<.001), and disease free survival (DFS) was 42% in CC, 28% in AA, 36% in AP, and 39% in HS (p<.001). These differences were sustained through 5 years post-HCT. Cox regression was used to examine the effect of study variables (age, performance status, income, co-morbidities, diagnosis, disease status, CMV status, stem cell source, HLA match, donor age and gender, year of HCT, conditioning regimen, cell dose, time from diagnosis to HCT, distance from patient ZIP code to transplant center) on the outcomes of interest between the 4 racial/ethnic groups. After adjusting for other significant factors, compared to CC, AA (but not AP or HS) were independently associated with worse OS (relative risk [RR] 1.46 (95% CI 1.28–1.66), P<.0001) and with worse DFS (RR 1.45 (1.27–1.64), P<.0001). The risk of treatment related mortality was higher in AA (RR 1.54, (1.33–1.79), P<.0001) and in HS (RR 1.23, (1.06–1.42), p=.005). HS had an increased risk of chronic GVHD (RR 1.24, (1.06–1.45), P=.008) compared to CC, otherwise there was no difference in the risk of acute or chronic GVHD among the racial groups. Race/ethnicity, median income and distance from transplant center were not associated with the risk of disease relapse. Greater distance to the transplant center (>175 miles) and higher median incomes (>$35,500) were associated with higher DFS (p=0.006, p=0.0002) and OS (p=0.001, p<0.0001) in all racial/ethnic groups. While this study is limited by the use of surrogate markers of SES and relatively small numbers of ethnic minority patients, the results suggest that the inferior outcomes after URD HCT detected primarily in AA patients are not fully explained by HLA disparity or SES indicators. Potential other mechanisms such as genetic polymorphisms that impact drug metabolism or the risk of TRM, as well as other pre- or post-transplant factors may be important.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1098.2-1099
Author(s):  
O. Russell ◽  
S. Lester ◽  
R. Black ◽  
C. Hill

Background:Socioeconomic status (SES) influences disease outcomes in rheumatoid arthritis (RA) patients. (1, 2) Differences in medication use could partly explain this association. (3) A scoping review was used to identify research conducted on this topic and determine what knowledge gaps remain.Objectives:To determine what research has been conducted on this topic, how this research has defined SES and medication use, and establish what knowledge gaps remain.Methods:MEDLINE, EMBASE and PsychInfo were searched from their inception until May 2019 for studies which assessed SES and medication use as outcome variables. Studies were included if they measured medication use and incorporated an SES measure as a comparator variable.SES was defined using any of the “PROGRESS” framework variables (4) including patients’ stated gender, age, educational attainment, employment, occupational class, personal income, marital status, health insurance coverage, area- (neighbourhood) level SES, or patients’ stated race and/or ethnicity. Medication use was broadly defined as either prescription or dispensation of a medicine, medication adherence, or delays in treatment. Data was extracted on studies’ primary objectives, measurement of specific SES measures, patients’ medication use, and whether studies assessed for differences in patients’ medication use according to SES variables.Results:1464 studies were identified by this search from which 74 studies were selected for inclusion, including 52 published articles. Studies’ publication year ranged from 1994-2019, and originated from 20 countries; most commonly from the USA.Studies measured a median of 4 SES variables (IQR 3-6), with educational achievement, area level SES and race/ethnicity the most frequently recorded.Likelihood of disease modifying antirheumatic drug (DMARD) prescription was the most frequent primary objective recorded.96% of studies reported on patients’ use of DMARDs, with glucocorticoids and analgesics being reported in fewer studies (51% and 23% respectively.)Most included studies found at least one SES measure to be significantly associated with differences in patients’ medication use. In some studies, however, this result was not necessarily drawn from the primary outcome and therefore may not have been adjusted for covariates.70% of published studies measuring patients’ income (n=14 of 20) and 58% of those that measured race/ethnicity (n=14 of 24) documented significant differences in patients’ medication use according to these SES variables, although the direction of this effect – whether it led to ‘greater’ or ‘lesser’ medication use – varied between studies.Conclusion:Multiple definitions of SES are used in studies of medication use in RA patients. Despite this, most identified studies found evidence of a difference in medication use by patient groups that differed by an SES variable, although how medication use differed was found to vary between studies. This latter observation may relate to contextual factors pertaining to differences in countries’ healthcare systems. Further prospective studies with clearly defined SES and medication use measures may help confirm the apparent association between SES and differences in medication use.References:[1]Jacobi CE, Mol GD, Boshuizen HC, Rupp I, Dinant HJ, Van Den Bos GA. Impact of socioeconomic status on the course of rheumatoid arthritis and on related use of health care services. Arthritis Rheum. 2003;49(4):567-73.[2]ERAS Study Group. Socioeconomic deprivation and rheumatoid disease: what lessons for the health service? ERAS Study Group. Early Rheumatoid Arthritis Study. Annals of the rheumatic diseases. 2000;59(10):794-9.[3]Verstappen SMM. The impact of socio-economic status in rheumatoid arthritis. Rheumatology (Oxford). 2017;56(7):1051-2.[4]O’Neill J, Tabish H, Welch V, Petticrew M, Pottie K, Clarke M, et al. Applying an equity lens to interventions: using PROGRESS ensures consideration of socially stratifying factors to illuminate inequities in health. J Clin Epidemiol. 2014;67(1):56-64.Acknowledgements:This research was supported by an Australian Government Research Training Program Scholarship.Disclosure of Interests:None declared


2019 ◽  
Vol 6 (2) ◽  
Author(s):  
Priya Bhagwat ◽  
Shashi N Kapadia ◽  
Heather J Ribaudo ◽  
Roy M Gulick ◽  
Judith S Currier

Abstract Background Racial/ethnic disparities in HIV outcomes have persisted despite effective antiretroviral therapy. In a study of initial regimens, we found viral suppression varied by race/ethnicity. In this exploratory analysis, we use clinical and socioeconomic data to assess factors associated with virologic failure and adverse events within racial/ethnic groups. Methods Data were from AIDS Clinical Trial Group A5257, a randomized trial of initial regimens with either atazanavir/ritonavir, darunavir/ritonavir, or raltegravir (each combined with tenofovir DF and emtricitabine). We grouped participants by race/ethnicity and then used Cox-proportional hazards regression to examine the impact of demographic, clinical, and socioeconomic factors on the time to virologic suppression and time to adverse event reporting within each racial/ethnic group. Results We analyzed data from 1762 participants: 757 self-reported as non-Hispanic black (NHB), 615 as non-Hispanic white (NHW), and 390 as Hispanic. The proportion with virologic failure was higher for NHB (22%) and Hispanic (17%) participants compared with NHWs (9%). Factors associated with virologic failure were poor adherence and higher baseline HIV RNA level. Prior clinical AIDS diagnosis was associated with virologic failure for NHBs only, and unstable housing and illicit drug use for NHWs only. Factors associated with adverse events were female sex in all groups and concurrent use of medications for comorbidities in NHB and Hispanic participants only. Conclusions Clinical and socioeconomic factors that are associated with virologic failure and tolerability of antiretroviral therapy vary between and within racial and ethnic groups. Further research may shed light into mechanisms leading to disparities and targeted strategies to eliminate those disparities.


BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e042212
Author(s):  
Hamish Foster ◽  
Peter Polz ◽  
Frances Mair ◽  
Jason Gill ◽  
Catherine A O'Donnell

IntroductionCombinations of unhealthy lifestyle factors are strongly associated with mortality, cardiovascular disease (CVD) and cancer. It is unclear how socioeconomic status (SES) affects those associations. Lower SES groups may be disproportionately vulnerable to the effects of unhealthy lifestyle factors compared with higher SES groups via interactions with other factors associated with low SES (eg, stress) or via accelerated biological ageing. This systematic review aims to synthesise studies that examine how SES moderates the association between lifestyle factor combinations and adverse health outcomes. Greater understanding of how lifestyle risk varies across socioeconomic spectra could reduce adverse health by (1) identifying novel high-risk groups or targets for future interventions and (2) informing research, policy and interventions that aim to support healthy lifestyles in socioeconomically deprived communities.Methods and analysisThree databases will be searched (PubMed, EMBASE, CINAHL) from inception to March 2020. Reference lists, citations and grey literature will also be searched. Inclusion criteria are: (1) prospective cohort studies; (2) investigations of two key exposures: (a) lifestyle factor combinations of at least three lifestyle factors (eg, smoking, physical activity and diet) and (b) SES (eg, income, education or poverty index); (3) an assessment of the impact of SES on the association between combinations of unhealthy lifestyle factors and health outcomes; (4) at least one outcome from—mortality (all cause, CVD and cancer), CVD or cancer incidence. Two independent reviewers will screen titles, abstracts and full texts of included studies. Data extraction will focus on cohort characteristics, exposures, direction and magnitude of SES effects, methods and quality (via Newcastle-Ottawa Scale). If appropriate, a meta-analysis, pooling the effects of SES, will be performed. Alternatively, a synthesis without meta-analysis will be conducted.Ethics and disseminationEthical approval is not required. Results will be disseminated via peer-reviewed publication, professional networks, social media and conference presentations.PROSPERO registration numberCRD42020172588.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 6594-6594
Author(s):  
Sandeep Sai Voleti ◽  
Sikander Ailawadhi ◽  
Carolyn Mead-Harvey ◽  
Rahma M. Warsame ◽  
Rafael Fonseca ◽  
...  

6594 Background: Patient reported financial hardship (FH) in cancer care is a growing challenge for patients, their caregivers and healthcare providers. As treatment costs escalate, it is imperative to develop effective strategies to proactively recognize and mitigate FH within oncology practice. Using automated processes to screen and refer patients to appropriate resources is a potential option. At Mayo Clinic, screening for FH involves using a single financial strain question ‘ How hard is it for you to pay for the very basics like food, housing, medical care, and heating?’ completed by all cancer patients annually as part of the Social Determinants of Health (SDOH) assessment. In this study, we describe the prevalence and predictors for FH (denoted by the answer ‘hard and very hard’) in our patient population. Methods: Patients receiving cancer care at the three Mayo Clinic sites (Minnesota, Arizona, and Florida) who completed the FH screen at least once were included in this study. Demographics (age, gender, race/ ethnicity, insurance, employment status, marital status, and zip code) and disease state data for included patients was extracted from the EMR and Mayo Clinic Cancer Registry. Disease state was categorized by type of cancer (hematological or solid malignancy) and cancer stage. Zip code was used to derive median income, rural/urban residence and distance from the cancer center. Multivariable logistic regression models were utilized to examine factors associated with FH. Results: The final study cohort included 31,969 patients with median age 66 years (IQR 57,73), 51% females, and 76% married. Race/ethnicity composition was 93% White, 3% Black, and 4% Hispanic. 52% of patients had Medicare and 43% had commercial insurance. Other notable factors included 48% retired, 41% working/ students, 76% married, and 72% urban residents. Median time from cancer diagnosis was 1.1 year (IQR 0.1, 3.8) and median income was $64,406 (IQR 53,067, 82,038). 31% of patients had hematological malignancies, 20% of the cancers for which staging information was available were metastatic. FH was reported by 4% (n = 1194) of the patients. A significantly higher likelihood of endorsing FH (p < 0.001 for all) was noted in Hispanic (OR 1.64), Black (OR 1.84), American Indian/Alaskan native (OR 2.02), below median income (OR 1.48), rural (OR 1.17), self-pay (OR 2.77), Medicaid (OR 2.29), Medicare (OR 1.43), unemployed/disabled (OR 2.39), single (OR 2.07), or divorced (OR 2.43) patients. Older age, being retired, and living farther from the cancer center were associated with significantly less likelihood of endorsing FH. Conclusions: Our study successfully leveraged the EMR to identify key sociodemographic groups more likely to report FH. An electronic trigger to flag such patients at high-risk of FH and proactively address FH is currently being developed.


2020 ◽  
pp. 107780121989347
Author(s):  
Roberto Cancio

This study considers variations of intimate partner violence (IPV) from the point of the perpetrator to test the impact of demographic factors on the type of IPV most prevalent among pre-9/11 and post-9/11 military families from the National Longitudinal Study of Adolescent to Adult Health (1994–2008): Waves I and IV in-home interviews ( N = 499). Study findings indicate that the perpetration of physical and sexual IPV depends on the context of veteran cohort and race/ethnicity. Models for substance use and IPV patterns were not similar across military cohorts and/or racial/ethnic groups.


2020 ◽  
Vol 5 (4) ◽  
pp. 2473011420S0020
Author(s):  
Alessandra L. Falk ◽  
Regina Hanstein ◽  
Chaiyaporn Kulsakdinun

Category: Ankle; Trauma Introduction/Purpose: Socioeconomic status has been recognized throughout the medical literature, both within orthopedics and beyond, as a factor that influences outcomes after surgery, and can result in substandard care. Within the foot and ankle subspecialty, there is limited data regarding socioeconomic status and post-operative outcomes, with the current literature focusing on outcomes for diabetic feet. However, ankle fractures are among the most common fractures encountered by orthopedic surgeons. While a few studies have explored the impact of ankle fractures on employment and disability status, the effect of socioeconomic status on return to work post operatively has not yet been investigated. The purpose of this study was to determine the impact of low socioeconomic status on return to work. Methods: We retrospectively reviewed 592 medical charts of patients with CPT code 27766, 27792, 27814, 27822, 27823, 27827, 27829, 27826, 27828 from 2015-2018. Included were patients >18 yrs of age who sustained an acute ankle fracture, were employed prior to the injury, and with information on return to work after ankle surgery, zip code, race, ethnicity and insurance status. Excluded were patients who were not employed prior to their injury. Socioeconomic status was either defined by insurance status - Medicaid/Medicare, commercial, or workman’s compensation -, or by assessing socioeconomic status (SES) using medial household per capita income by zip code as generated and reported by the US National Census Bureau’s 2013-2017 American Community Survey 5-Year Estimates. The national dataset was divided into quartiles with the lowest quartile defined as low SES. Patients who had income that fell within this income category were classified as low SES. Results: 174 patients were included with an average follow-up of 10.2months. 22/174 (12.6%) patients didn’t return to work post-operatively. Univariate analysis identified non-sedentary work to decrease the likelihood of return to work (HR:0.637; p=0.03). Patients with a low SES were more prevalent in the no return group compared to the return to work group (86% vs 60%; p=0.028). 95% of patients with low SES were a minority compared to 56% with average/high SES (p<0.005). Patients with low SES had a higher BMI (p=0.026), a longer hospitalization (p=0.04) and more wound complications (p=0.032). Insurance type didn’t affect return to work (p=0.158). Patients with workman’s compensation had a longer follow-up time and a longer time to return to work compared to other insurances (p<0.005 for each comparison). Conclusion: Low socioeconomic status based on income, not insurance type, affected return to work after an ankle fracture ORIF. Patients with workman’s compensation took a longer time to return to work compared to other insurance types. These findings warrants the need to consider socioeconomic status when allocating resources to treat these patients.


2018 ◽  
Vol 85 (1) ◽  
pp. 10-27 ◽  
Author(s):  
Karrie A. Shogren ◽  
Leslie A. Shaw ◽  
Sheida K. Raley ◽  
Michael L. Wehmeyer

The Self-Determination Inventory: Student Report (SDI:SR) was developed to address a need in the field for tools to assess self-determination that are aligned with current best practices in assessment development and administration, and emerging research and best practices in promoting self-determination. The present study explored patterns of differences in self-determination scores across students with and without disabilities (i.e., no disability, learning disabilities, intellectual disability, autism spectrum disorder, and other health impairments) of varying racial-ethnic backgrounds (i.e., White, African American or Black, Hispanic or Latino[a], and Other) as well as the impact of receiving free and reduced price lunch (as a proxy for socioeconomic status) on self-determination scores in these groups. Findings suggest an interactive effect of disability, race-ethnicity, and free and reduced price lunch status on self-determination scores. Implications for future research and practice are discussed.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 3069-3069
Author(s):  
Casey L O'Connell ◽  
Pedram Razavi ◽  
Roberta McKean-Cowdin ◽  
Malcolm C. Pike

Abstract Abstract 3069 Poster Board III-6 Background Acute lymphoblastic leukemia (ALL) is an aggressive malignancy whose incidence declines through adolescence and then increases steadily with age. Prognosis appears to be inversely related to age among adults. We sought to explore the impact of race/ethnicity on incidence and survival among adults with ALL in the United States (US). Methods We examined trends in incidence and survival among adults with ALL in the US using the National Cancer Institute's Surveillance, Epidemiology and End Results (SEER) program which includes data from 17 SEER registries. We calculated the incidence rates for the most recent time period (2001-2005) because the classification for ALL subtypes was more complete during this time. For the survival analysis we used the data collected between 1975 and 2005. We categorized race/ethnicity into 5 mutually exclusive categories: non-Hispanic whites (NHW), Hispanic whites (HW), African Americans (AA), Asian/Pacific Islanders (API) and American Indians/Native Alaskans (AI/NA). Hispanic ethnicity was defined using SEER's Hispanic-origin variable which is based on the NAACCR Hispanic Identification Algorithm (NHIA); 11 patients dually coded as black and Hispanic were included in the AA group for our analyses. Few ALL cases were identified among AI/NA, so that group is not represented in the final analyses. We included ALL cases coded in the SEER registry using the International Classification of Disease for Oncology (ICD-0-3) as 9827-9829 and 9835-9837. We excluded cases of Burkitt's leukemia (n=228), cases that were not confirmed by microscopic or cytologic tests (n=132), cases that were reported only based on autopsy data (n=3) and cases whose race/ethnicity were unknown (n=20). The average annual incidence rates per 100,000 for 2001-2005, age-adjusted to the 2000 US standard population were calculated using SEER*Stat Version 6.4.4 statistical software. We used multivariate Cox hazard models stratified by SEER registry and age category to estimate the hazard ratios (HR) and 95% confidence intervals (95% CI) for relative survival of adult ALL cases across race/ethnicity, sex and cell of origin (B- or T-cell). All models were adjusted for the diagnosis era, and use of non-CNS radiation. The model also included an interaction term for age and diagnosis era. We performed a separate stratified analysis of the impact of race/ethnicity on survival within age subgroups (20-29, 30-39, 40-59, 60-69, 70+). Results The highest incidence rate (IR) of ALL was observed for HW (IR: 1.60; 95% CI: 1.43-1.79). HW had a significantly higher IR across all age categories as compared to the other racial/ethnic groups, while AA had the lowest IR. In particular, the observed rate of B-cell ALL among HW (IR 0.77; 95% CI 0.69-0.87) was more than twice that of NHW (IR: 0.29; 95% CI: 0.27-0.32) and more than three times the rate observed among AA (IR: 0.20; 95% CI: 0.15-0.26). In contrast, we did not observe statistically significant variability in the rates of T-cell ALL across race/ethnic groups (overall IR: 0.12; 95% CI: 0.11-0.14). Survival was significantly poorer among AA (HR: 1.26; 95% CI: 1.09-1.46), HW (HR: 1.21; 95% CI: 1.09-1.46), and API (HR: 1.18; 95% CI: 1.06-1.32) compared to NHW with all subtypes of ALL. Among adults younger than 40 with B-cell ALL, survival was significantly poorer among AA (HR: 1.60; 95% CI:1.021-2.429) and HW (HR: 1.53; 95% CI:1.204-1.943) with a non-signficant trend among API (HR: 1.22; 95% 0.834-1.755) compared to NHW. Survival differences between the different racial/ethnic groups were no longer statistically significant among adults with B-cell ALL over the age of 40. For T-cell ALL, survival was significantly poorer among AA (HR: 1.61; 95% CI: 1.22-2.10), HW (HR: 1.49; 95% CI: 1.14-1.93) and API (HR: 1.57; 95% CI: 1.13-2.13), as compared to NHW. A similar survival pattern by age (adults above and below age 40 years) was observed for T-cell as described for B-cell, with AA under 40 having a particularly dismal prognosis (HR: 2.89; 95% CI 1.96-4.17) compared to NHW. Conclusions The incidence rate of B-cell ALL among adults in the US is higher among HW than other ethnic groups. Survival is significantly poorer among AA and HW than among NHW under the age of 40 with B-cell ALL. Survival is also significantly poorer among AA, HW and API than among NHW with T-cell ALL in adults under 40. Survival trends appear to converge after the age of 40 among all racial/ethnic groups. Disclosures No relevant conflicts of interest to declare.


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