scholarly journals National U.S. Patient and Transplant Data for Krabbe Disease

2021 ◽  
Vol 9 ◽  
Author(s):  
Gabrielle Ghabash ◽  
Jacob Wilkes ◽  
Joshua L. Bonkowsky

Krabbe disease (KD) is a leukodystrophy caused by mutations in the galactosylceramidase gene. Presymptomatic hematopoietic stem cell transplantation (HSCT) is associated with improved outcomes, but most data are from single-center studies. Our objective was to characterize national patterns of HSCT for KD including whether there were disparities in HSCT utilization and outcomes. We conducted a retrospective study of KD patients ≤ age 18 years from November 1, 2015, through December 31, 2019, using the U.S. Children's Hospital Association's Pediatric Health Information System database. We evaluated outcomes for HSCT, intensive care unit days, and mortality, comparing age, sex, race/ethnicity, rural/urban location, and median household income. We identified 91 KD patients. HSCT, performed in 32% of patients, was associated with reduced mortality, 31 vs. 68% without HSCT (p < 0.003). Trends included the fact that more males than females had HSCT (39 vs. 23%); more Asian and White patients had HSCT compared to Black or Hispanic patients (75, 33, 25, and 17%, respectively); and patients from households with the lowest-income quartile (< $25,000) had more HSCT compared to higher-income quartiles (44 vs. 33, 30, and 0%). Overall, receiving HSCT was associated with reduced mortality. We noted trends in patient groups who received HSCT. Our findings suggest that disparities in receiving HSCT could affect outcomes for KD patients.

2019 ◽  
Vol 8 (16) ◽  
pp. 1365-1379 ◽  
Author(s):  
Hyun S Park ◽  
Robert S White ◽  
Xiaoyue Ma ◽  
Briana Lui ◽  
Kane O Pryor

Aim: To examine the effect of race/ethnicity, insurance status and median household income on postoperative readmissions following colectomy. Patients & methods: Multivariate analysis of hospital discharge data from California, Florida, Maryland and New York from 2009 to 2014. Primary outcomes included adjusted odds of 30- and 90-day readmissions following colectomy by race, insurance status and median income quartile. Results: Total 330,840 discharges included. All 30-day readmissions were higher for black patients (adjusted odds ratio [aOR]: 1.07). Both 30- and 90-day readmissions were higher for Medicaid (aOR: 1.30 and 1.26) and Medicare (aOR: 1.30 and 1.29). The 30- and 90-day readmissions were lower in the highest income quartiles. Conclusion: Race, insurance status and median household income are all independent predictors of disparity in readmissions following colectomy.


2020 ◽  
Vol 11 (2) ◽  
pp. 18-41
Author(s):  
Madhuri Sharma

This article explores the relationships between diversity, its components, and their change with economic health at the scale of counties, using major economic characteristics such as change in population, labor-force participation, employment and unemployment, and median household income (overall and by race/ethnicity). Tract-scale and county-scale data from the National Historical Geographic Information System are used to compute diversity scores and its components, to visually analyze the spatial distribution patterns. Correlations & stepwise regression models suggest that diversity-2000 associates positively with greater diversity (overall and among non-whites) in 2014, but negatively with a change in diversity (overall, and non-white). While median household income associates with a positive change in diversity, those for Blacks associate negatively with change in diversity, largely supporting the inertia effects of Black presence as an ‘unattractive' factor. Unemployment associates with diversity & change/non-white-diversity, suggesting unemployment likely prevalent among whites. This has huge socio-economic and politics-based policy implications.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2629-2629
Author(s):  
Cesar O. Freytes ◽  
Natalie S Callander ◽  
Stacey A Goodman ◽  
Suhong Luo ◽  
Juan J. Toro ◽  
...  

Abstract Autologous hematopoietic stem cell transplantation (AHSCT) remains an integral part of multiple myeloma (MM) therapy. Previous studies have documented disparities in the utilization of AHSCT, with black MM patients receiving AHSCT less frequently than white patients. Among the factors that may influence AHSCT utilization is the availability and quality of health insurance. A previous analysis of black and white MM patients who underwent AHSCT in an equal access health care system, demonstrated comparable survival between black and white patients following AHSCT in MM. Unfortunately, this study did not provide information regarding potential race-based differences in AHSCT utilization. In an effort to understand the relationship between race and AHSCT utilization in an equal access healthcare system, we evaluated AHSCT utilization in a cohort of MM patients from the Veterans Health Administration (VHA) central cancer registry. Patients diagnosed with MM at any VHA medical center between September 1, 1999 and September 30, 2009 using International Classification of Diseases for Oncology, third revision, code 9732/3. Patients who did not receive treatment within 6 months of diagnosis were excluded in order to remove patients with monoclonal gammopathy or smoldering myeloma miscoded as MM (n=1,002). This resulted in a cohort of 2,968 patients. AHSCT was identified by ICD-9 procedure codes (410.4, 410.7, 410.0, 410.1, 410.9) or use of high-dose melphalan. Household income was estimated based upon zip code of residence, linked to census data on median household income by zip code. Of the 2,968 patients, 2,040 (68.7%) were white, 850 (28.6%) were black, 40 (0.1%) from other racial groups, and 38 (0.1%) were from unknown racial groups. The proportion of patients who underwent AHSCT was similar: 270 of 2118 white/other MM patients underwent AHSCT compared to 94 black patients (12.8% vs. 11%, respectively, p = 0.2). Demographics of the patients who received AHSCT are presented in table 1. Comparison of socioeconomic status demonstrated that across the entire cohort of 2,698 patients, black patients were significantly more likely to be from the lowest income quartile compared to white/other patients (38.2% vs. 18.4%, p < 0.001). Among the patients who received transplant, black patients again were more likely to come from the lowest income quartile (29.8% vs. 18.2%, p = 0.07). We conclude that the proportion of white and black patients who undergo AHSCT for MM is similar in the VHA, a finding that was present despite significant differences in estimated household income. Our finding is in contrast to previous registry studies that have shown limited access to transplantation for black MM patients. This suggests that in the VHA, utilization of high-cost interventions such as AHSCT is equal, despite differences in race and socioeconomic status. Table- Demographic and clinical characteristics by race among transplanted MM patients diagnosed 1999 to 2009 Demographic clinical characteristics Overall (N=364) White or other (n=270) Black (n=94) p-value Age (mean / range) 57.5 (27-73) 58 (27-73) 56.1 (30 - 71) 0.02 Sex (Male %) 96.7 97.4 94.7 0.2 Comorbidities (mean Charlson score) 1.4 1.3 1.6 0.09 BMI (%) <18.5 1.1 0.7 2.1 18.5-<25 22 22.2 21.3 25-<30 44.8 41.5 54.3 >=30 32.1 35.6 22.3 0.1 Estimated Household Income (%) Quartile 1 21.2 18.2 29.8 Quartile 2 23.4 23.7 22.3 Quartile 3 25.6 27 21.3 Quartile 4 27.5 28.2 25.5 Unknown 2.5 3 1.1 0.07 Hemoglobin (mean) 11 11.2 10.3 < 0.001 Creatinine (mean) 1.8 1.9 1.5 0.03 Albumin (mean) 3.3 3.4 3.3 0.3 Time(months) between Dx and transplant (mean/range) 12.8 (3.4-87.7) 12.3 (3.4-55.5) 14.1 (3.6-87.7) 0.15 Disclosures Freytes: Merck: Research Funding; Otsuka: Consultancy, Research Funding; Sanofi: Speakers Bureau. Carson:Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Millennium: Consultancy, Research Funding.


2021 ◽  
Author(s):  
Tsikata Apenyo ◽  
Antonio Vera-Urbina ◽  
Khansa Ahmad ◽  
Tracey H. Taveira ◽  
Wen-Chih Wu

AbstractObjectiveThe relationship between socioeconomic status and its interaction with State’s Medicaid-expansion policies on COVID-19 outcomes across United States (US) counties are uncertain. To determine the association between median-household-income and its interaction with State Medicaid-expansion status on COVID-19 incidence and mortality in US countiesMethodsLongitudinal, retrospective analysis of 3142 US counties (including District of Columbia) to study the relationship between County-level median-household-income (defined by US Census Bureau’s Small-Area-Income-and-Poverty-Estimates) and COVID-19 incidence and mortality per 100000 of the population in US counties from January 20, 2020 through December 6, 2020. County median-household-income was log-transformed and stratified by quartiles. Medicaid-expansion status was defined by US State’s Medicaid-expansion adoption as of first reported US COVID-19 infection, January 20, 2020. Multilevel mixed-effects generalized-linear-model with negative binomial distribution and log link function compared quartiles of median-household-income and COVID-19 incidence and mortality, reported as incidence-risk-ratio (IRR) and mortality-risk-ratio (MRR), respectively. Models adjusted for county socio-demographic and comorbidity conditions, population density, and hospitals, with a random intercept for states. Multiplicative interaction tested for Medicaid-expansion*income quartiles on COVID-19 incidence and mortality.ResultsThere was no significant difference in COVID-19 incidence across counties by income quartiles or by Medicaid expansion status. Conversely, significant differences exist between COVID-19 mortality by income quartiles and by Medicaid expansion status. The association between income quartiles and COVID-19 mortality was significant only in counties from non-Medicaid-expansion states but not significant in counties from Medicaid-expansion states (P<0.01 for interaction). For non-Medicaid-expansion states, counties in the lowest income quartile had a 41% increase in COVID-19 mortality compared to counties in the highest income quartile (MRR 1.41, 95% CI: 1.25-1.59).Conclusions and RelevanceMedian-household-income was not related to COVID-19 incidence but negatively related to COVID-19 mortality in US counties of states without Medicaid-expansion. It was unrelated to COVID-19 mortality in counties of states that adopted Medicaid-expansion. These findings suggest that expanded healthcare coverage should be investigated further to attenuate the excessive COVID-19 mortality risk associated with low-income communities.Key FindingsQuestionIs there a relationship between COVID-19 outcomes (incidence and mortality) and household income and status of Medicaid expansion of US counties?FindingsIn this longitudinal, retrospective analysis of 3142 US counties, we found no significant difference in COVID-19 incidence across US counties by quartiles of household income. However, counties with lower median household income had a higher risk of COVID-19 mortality, but only in non-Medicaid expansion states. This relationship was not significant in Medicaid expansion states.MeaningExpanded healthcare coverage through Medicaid expansion should be investigated as an avenue to attenuate the excessive COVID-19 mortality risk associated with low-income communities.


Author(s):  
Madhuri Sharma

This article explores the relationships between diversity, its components, and their change with economic health at the scale of counties, using major economic characteristics such as change in population, labor-force participation, employment and unemployment, and median household income (overall and by race/ethnicity). Tract-scale and county-scale data from the National Historical Geographic Information System are used to compute diversity scores and its components, to visually analyze the spatial distribution patterns. Correlations & stepwise regression models suggest that diversity-2000 associates positively with greater diversity (overall and among non-whites) in 2014, but negatively with a change in diversity (overall, and non-white). While median household income associates with a positive change in diversity, those for Blacks associate negatively with change in diversity, largely supporting the inertia effects of Black presence as an ‘unattractive' factor. Unemployment associates with diversity & change/non-white-diversity, suggesting unemployment likely prevalent among whites. This has huge socio-economic and politics-based policy implications.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 726-726
Author(s):  
Manali I. Patel ◽  
Yifei Ma ◽  
Beverly S. Mitchell ◽  
Kim Rhoads

Abstract Purpose In our previous work using the Surveillance Epidemiology and End Results (SEER) database, we demonstrated that despite younger age at presentation and a higher prevalence of favorable cytogenetic factors, black and Hispanic patients have increased mortality from Acute Myeloid Leukemia (AML) compared with non-Hispanic whites (NHW). The role of treatment has not been studied on a population level due to the limitations of SEER data with respect to treatment variables. The purpose of this study is to explore explanations for disparities in AML using a novel database containing both demographic and clinical variables. We will evaluate the relationship between the quality of AML care and outcomes. The hypothesis is that outcome disparities from AML may be explained by differences in receipt of treatment by race/ethnicity. Methods All patients with AML were identified in the California Cancer Registry (CCR) database linked to the hospital discharge abstracts from the Office of Statewide Health Planning and Development (OSHPD) during the years 1998-2008. Kaplan Meier (KM) survival curves were generated to predict survival probabilities by race/ethnicity. These were stratified by age based on our prior findings. Logistic regression models estimated the odds of treatment defined as chemotherapy and/or hematopoietic stem cell transplant by race/ethnicity. Cox proportional hazard models estimated the hazard of mortality by race with adjustment for age, gender, year of diagnosis, co-morbidities, and presence of the t(8;21), APL, and 11q23 subtypes. Models were further adjusted for receipt of treatment. Results A total of 11,084 patients were included in the study. Black and Hispanic patients were diagnosed at younger ages (<61 years) and had higher rates of APL subtype compared to NHWs. Hispanic and Asian/Pacific Islanders (API) patients had higher rates of t(8;21) subtypes compared to NHW. API and NHW had the highest rates of 11q23 subtype. Logistic regression models showed decreased odds of chemotherapy and hematopoietic stem cell transplant for black patients compared to NHW (0.74 95% CI (0.61-0.91); 0.62 95% CI (0.45-0.85), respectively) which persisted after adjustment for t(8;21), APL, and 11q23 subtypes. Odds of hematopoietic stem cell transplant were also decreased for Hispanic patients compared to NHW (0.68 95% CI (0.58-0.82)) despite adjustment for subtypes. Multivariable models adjusted for gender, age, year of diagnosis and comorbidities demonstrated that compared to NHW, blacks had an increased risk of death (1.15 95% CI (1.05-1.26)) whereas APIs had a decreased risk of death (0.84 95% CI (0.84-0.96)). Adjustment for t(8;21), APL, and 11q23 subtypes did not attenuate the disparity for blacks. Adjustment for treatment (chemotherapy and/or transplant) slightly moderated the risk of death (HR 1.10 95% CI (1.01-1.22)) for black patients. Conclusions Our work suggests that treatment differences may play a role in survival disparities from AML; however these differences do not completely explain the differences in survival. Socioeconomic status factors or unmeasured genetic factors may explain the observed differences. Future studies aimed at addressing disparities in AML should assess mortality with attention to these factors. Disclosures: No relevant conflicts of interest to declare.


Author(s):  
Fouad Chouairi ◽  
Michael R. Mercier ◽  
Michael Alperovich ◽  
James Clune ◽  
Adnan Prsic

Abstract Introduction The effects of preoperative anemia have been shown to be an independent risk factor associated with poor outcomes in both cardiac and noncardiac surgery. Socioeconomic status and race have also been linked to poor outcomes in a variety of conditions. This study was designed to study iron deficiency anemia as a marker of health disparities, length of stay and hospital cost in digital replantation. Materials and Methods Digit replantations performed between 2008 and 2014 were reviewed from the National Inpatient Sample (NIS) database using the ICD-9-CM procedure codes 84.21 and 84.22. Patients with more than one code or with an upper arm (83.24) or hand replantation (84.23) code were excluded. Extracted variables included age, race, comorbidities, hospital type, hospital region, insurance payer type, and median household income quartile. Digit replantations were separated into patients with and without deficiency anemia. Demographics, comorbidities, and access to care were compared between cohorts by chi-squared and t-tests. Multivariate regressions were utilized to assess the effects of anemia on total cost and length of stay. The regression controlled for demographics, region, income, insurance, hospital type, and comorbidities. Beta coefficient was calculated for length of stay and hospital cost. The regression controlled for significant age, race, region, and comorbidities in addition to the above variables. Results In the studied patient population of those without anemia, 59.5% were Caucasian, and in patients with anemia, 46.7% were Caucasian (p < 0.001). Whereas in the in the studied patient population of those without anemia, 6.7% were Black, and in patients with anemia, 15.7% were Black (p < 0.001). Median household income, payer information, length of stay and total cost of hospitalization had statistically significant differences. Using regression and β-coefficient, the effect of anemia on length of stay and cost was also significant (p < 0.001). Regression controlled for age, race, region and comorbidities, with the β-coefficient for effect on cost 37327.18 and on length of stay 3.96. Conclusion These data show that deficiency anemias are associated with a significant increase in length and total cost of stay in patients undergoing digital replantation. Additionally, a larger percentage of patients undergoing digital replantations and who have deficiency anemia belong to the lowest income quartile. Our findings present an important finding for public health prevention and resource allocation. Future studies could focus on clinical intervention with iron supplementation at the time of digital replantation.


2015 ◽  
Vol 12 (s1) ◽  
pp. S94-S101 ◽  
Author(s):  
Carmen D. Harris ◽  
Prabasaj Paul ◽  
Xingyou Zhang ◽  
Janet E. Fulton

Background:Fewer than 30% of U.S. youth meet the recommendation to be active > 60 minutes/day. Access to parks may encourage higher levels of physical activity.Purpose:To examine differences in park access among U.S. school-age youth, by demographic characteristics and urbanicity of block group.Methods:Park data from 2012 were obtained from TomTom, Incorporated. Population data were obtained from the 2010 U.S. Census and American Community Survey 2006–2010. Using a park access score for each block group based on the number of national, state or local parks within one-half mile, we examined park access among youth by majority race/ethnicity, median household income, median education, and urbanicity of block groups.Results:Overall, 61.3% of school-age youth had park access—64.3% in urban, 36.5% in large rural, 37.8% in small rural, and 35.8% in isolated block groups. Park access was higher among youth in block groups with higher median household income and higher median education.Conclusion:Urban youth are more likely to have park access. However, park access also varies by race/ethnicity, median education, and median household. Considering both the demographics and urbanicity may lead to better characterization of park access and its association with physical activity among youth.


2020 ◽  
Vol 9 (2) ◽  
pp. 442 ◽  
Author(s):  
Abhishek Pandey ◽  
Suresh Mereddy ◽  
Daniel Combs ◽  
Safal Shetty ◽  
Salma I. Patel ◽  
...  

(a) Background: In patients with sleep apnea, poor adherence to positive airway pressure (PAP) therapy has been associated with mortality. Regional studies have suggested that lower socioeconomic status is associated with worse PAP adherence but population-level data is lacking. (b) Methods: De-identified data from a nationally representative database of PAP devices was geo-linked to sociodemographic information. (c) Results: In 170,641 patients, those in the lowest quartile of median household income had lower PAP adherence (4.1 + 2.6 hrs/night; 39.6% adherent by Medicare criteria) than those in neighborhoods with highest quartile median household income (4.5 + 2.5 hrs/night; 47% adherent by Medicare criteria; p < 0.0001). In multivariate regression, individuals in neighborhoods with the highest income quartile were more adherent to PAP therapy than those in the lowest income quartile after adjusting for various confounders (adjusted Odds Ratio (adjOR) 1.18; 95% confidence interval (CI) 1.14, 1.21; p < 0.0001). Over the past decade, PAP adherence improved over time (adjOR 1.96; 95%CI 1.94, 2.01), but health inequities in PAP adherence remained even after the Affordable Care Act was passed. (d) Conclusion: In a nationally representative population, disparities in PAP adherence persist despite Medicaid expansion. Interventions aimed at promoting health equity in sleep apnea need to be undertaken.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 4-5
Author(s):  
Lena E. Winestone ◽  
Qian Li ◽  
Lori S. Muffly ◽  
Kelly D Getz ◽  
Elysia Alvarez ◽  
...  

Introduction: Previous literature suggests that allogeneic hematopoietic stem cell transplant (HCT) utilization rates are lower amongst Hispanic and Black compared to non-Hispanic White (NHW) cancer patients. However, no previous studies have focused explicitly on the pediatric and adolescent young adult (AYA) population. We sought to examine utilization of HCT by race/ethnicity using the California Cancer Registry (CCR) and the Office of Statewide Health Planning and Development (OSHPD) hospitalization database. We hypothesized that Black and Hispanic patients with acute leukemia less frequently receive HCT than NHW patients. Methods: Using population-based data from California, a retrospective cohort of patients aged 0-39 years with acute myeloid leukemia (AML) or acute lymphoblastic leukemia (ALL) diagnosed between 2000 and 2015 was assembled. The primary exposure was a composite of race/ethnicity with NHW patients as the reference group. The primary outcome was receipt of first HCT, defined by diagnosis codes in OSHPD or treatment in the CCR. Logistic regression analyses were used to estimate odds ratios (OR) and corresponding 95% confidence intervals (CI). Multivariable models were adjusted for race/ethnicity, age, sex, year of diagnosis, leukemia type, insurance type at diagnosis, rurality, and neighborhood socioeconomic status at diagnosis (SES). Results: Among 7,183 patients (4,790 with ALL and 2,393 with AML), 21% (16% of ALL patients and 31% of AML patients) underwent HCT. Distributions of insurance type and neighborhood SES differed by race/ethnicity with a higher proportion of Black and Hispanic patients having Medicaid insurance and living in lower SES neighborhoods. In univariate analyses, Black and Hispanic race/ethnicity were associated with decreased likelihood of receiving HCT (OR 0.70 95% CI 0.53, 0.94 and OR 0.77 95% CI 0.68, 0.88, respectively) and Asian race was associated with increased likelihood of HCT (OR 1.29 95% CI 1.07, 1.56) compared to NHW patients. In the multivariable model, there was no statistically significant difference in receipt of HCT among Hispanic patients, but disparities persisted among Black patients (Table 1). Uninsured patients and those in the lowest SES quintile were also less likely to receive HCT, while older age and AML were associated with HCT receipt. In analyses stratified by age and leukemia type, we found that the disparities in receipt of HCT among Black patients was largely driven by patients &gt;20 years old (adjusted OR 0.50 95% CI 0.33, 0.78). These analyses also revealed that the increased likelihood of HCT among Asian/PI patients was driven by patients &lt;21 years old with ALL (adjusted OR 1.59 95% CI 1.07, 2.38). Among those who did undergo HCT, Hispanic patients had a longer initial HCT admission (39 v. 35 days, p&lt; 0.0001) and more frequent readmissions (32% with &gt;2 readmissions in the first year post-HCT v. 25%, p=0.005) compared to NHW patients. Conclusions: HCT is a potentially curative treatment for high-risk acute leukemia; thus the observed racial and SES disparities in receipt of HCT may contribute to disparities in leukemia survival. More detailed disease, treatment, and relapse data would provide a better understanding of the etiology of our findings and allow for reduction of existing disparities through improved access to HCT. Disclosures Muffly: Servier: Research Funding; Amgen: Consultancy; Adaptive: Research Funding. Wun:Glycomimetics, Inc.: Consultancy.


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