Association between insurance status at diagnosis and overall survival in chronic myeloid leukemia: A population-based study

Development and validation of a nomogram to predict poor efficacy of imatinib in the treatment of newly diagnosed chronic phase chronic myeloid leukemia patients

Background

Imatinib is the most widely used tyrosine kinase inhibitor (TKI) in patients with newly diagnosed chronic-phase chronic myeloid leukemia(CML-CP). However, failure to achieve optimal response after imatinib administration, and subsequent switch to second-generation TKI therapy results in poor efficacy and induces drug resistance. In the present study, we developed and validated a nomogram to predict the efficacy of imatinib in the treatment of patients newly diagnosed with CML-CP in order to help clinicians truly select patients who need 2nd generation TKI during initial therapy and to supplement the risk score system.

Methods

We retrospectively analyzed 156 patients newly diagnosed with CML-CP who met the inclusion criteria and were treated with imatinib at the Second Affiliated Hospital of Xi'an Jiao Tong University from January 2012 to June 2022. The patients were divided into a poor-response cohort (N = 60)and an optimal-response cohort (N = 43) based on whether they achieved major molecular remission (MMR) after 12 months of imatinib treatment. Using univariate and multivariate logistic regression analyses, we developed a chronic myeloid leukemia imatinib-poor treatment (CML-IMP) prognostic model using a nomogram considering characteristics like age, sex, HBG, splenic size, and ALP. The CML-IMP model was internally validated and compared with Sokal, Euro, EUTOS, and ELTS scores.

Results

The area under the curve of the receiver operator characteristic curve (AUC)of 0.851 (95% CI 0.778-0.925) indicated satisfactory discriminatory ability of the nomogram. The calibration plot shows good consistency between the predicted and actual observations. The net reclassification index (NRI), continuous NRI value, and the integrated discrimination improvement (IDI) showed that the nomogram exhibited superior predictive performance compared to the Sokal, EUTOS, Euro, and ELTS scores (P < 0.05). In addition, the clinical decision curve analysis (DCA) showed that the nomogram was useful for clinical decision-making. In predicting treatment response, only Sokal and CML-IMP risk stratification can effectively predict the cumulative acquisition rates of CCyR, MMR, and DMR (P<0.05).

Conclusion

We constructed a nomogram that can be effectively used to predict the efficacy of imatinib in patients with newly diagnosed CML-CP based on a single center, 10-year retrospective cohort study.

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).

Front-Line Tyrosine Kinase Inhibitors in Pediatric Chronic Myeloid Leukemia: A Study on Efficacy and Safety

We conducted a retrospective study on 51 pediatric patients with newly diagnosed chronic myeloid leukemia chronic phase or accelerated phase. The patients were classified into the IMA group (N = 33), treated with imatinib, and the DSA group (N = 18), treated with dasatinib, as front-line tyrosine kinase inhibitors (TKIs). At 12 months, the rates of complete cytogenetic response were similar between the IMA group (92.3%) and DSA group (100%) (p = 0.305). However, the rate of early molecular response was higher in the DSA group than in the IMA group (100.0% vs. 80.0%, p = 0.043). By 12 and 24 months, the DSA group showed faster and higher cumulative rates of both major (DSA group: 72.2% and 100%, respectively; IMA group: 41.2% and 68.7%, respectively; p = 0.002) and deep molecular responses (DSA group: 26.0% and 43.6%, respectively; IMA group: 13.8% and 17.5%, respectively; p = 0.004). Both TKIs were well tolerated. Although the height standard deviation scores decreased in both groups, the height decline was greater in the DSA group between one and two years from the start of TKI therapy. In this study, dasatinib achieved faster and higher molecular responses with an acceptable safety profile. Further follow-up is necessary to assess the long-term outcomes of TKI treatment in children.

Insurance-based disparities impact survival outcomes in Waldenström macroglobulinemia within the United States

Considerable healthcare resource utilization and financial burden have been associated with the treatment of WM; however, the impact of health insurance status on outcomes has not been previously reported. We conducted a National Cancer Database analysis of newly diagnosed cases of active WM between 2004 and 2017 to evaluate the impact of insurance status on outcomes. For patients <65 years old (n = 1249, male sex: 62.4%, median age: 58 years), significant insurance-based survival differences were observed on multivariable analysis; patients who were uninsured [n = 63; HR 3.11 (95%CI, 1.77-5.45), p < 0.001], on Medicaid [n = 87; HR 1.88 (95% CI, 1.01-3.48), p = 0.045], or on Medicare [n = 122; HR 2.78 (95%CI, 1.76-4.38), p < 0.001], had inferior survival compared to patients with private insurance (n = 977; reference). In patients ≥65 years, no insurance-based survival differences were found (p = 0.10). Overall, significant insurance-based outcome disparities exist in WM. Further work is desperately needed to systematically uncover and address these disparities.

[Survey and analysis of the concerns of patients with chronic myeloid leukemia in China in 2021]

Objective: To investigate the concerns of adult patients with chronic myeloid leukemia (CML) in the chronic phase receiving tyrosine kinase inhibitor (TKI) therapy in China. Methods: A cross-sectional questionnaire including 23 issues of concern was filled by patients with CML nationwide from August to September 2021. The results were compared with those from 2015 to 2016. Results: Data from 952 questionnaires were analyzed. The five most concerned issues were "TKI-related adverse effects and management" (66%) , "stopping TKI therapy" (46%) , "CML risk assessment" (46%) , "TKI dose reduction" (42%) , and "restrictions in daily life activities" (41%) . Compared with the results from 2015 to 2016, patients paid more attention to "TKI-related adverse effects and management" , "monitoring" , and "interpretation of laboratory reports" (all P<0.01) . Concerns of "TKI reimbursement policies" , "price reduction of TKIs" , and issues related to generic TKIs decreased significantly (all P<0.01) . Multivariate analysis showed that female patients (OR=1.8, 95% CI 1.4-2.5, P<0.001) , elderly patients (OR=1.0, 95% CI 1.0-1.0, P<0.001) , or patients with bachelor's degree or higher (OR=1.8, 95% CI 1.3-2.4, P<0.001) were more concerned with "TKI dose reduction" than others. Patients with a bachelor's degree or higher (OR=1.6, 95% CI 1.2-2.2, P=0.002) paid more attention to "CML risk assessment" , whereas those currently receiving a second- or third-generation TKI therapy (OR=1.9, 95% CI 1.3-2.6, P<0.001) were more concerned about "TKI resistance" . Conclusion: Patients with CML paid the most attention to "TKI-related adverse effects and management" , "stopping TKI therapy" , "CML risk assessment" , "TKI dose reduction" , and "restrictions in daily life activities" . Patients' sociodemographic covariates and treatment status were associated with their concerns.

Impact of Insurance on Overall Survival in Acute Lymphoblastic Leukemia: A SEER Database Study

INTRODUCTION

Insurance status at diagnosis remains an important barrier to health care access and adherence to treatment. Here, we aim to assess the impact of insurance status, and age on overall survival (OS) in patients with acute lymphoblastic leukemia (ALL).

MATERIALS AND METHODS

Using the Surveillance, Epidemiology, and End Results database, we identified all patients younger than 65 years of age diagnosed with ALL from 2010 to 2016. OS was estimated for each group using the Kaplan Meier curves and compared based on insurance type using a log-rank test. Multivariate analysis using Cox proportional hazard regression model was used to assess the effect of insurance status on OS.

RESULTS

A total of 9057 patients were included in the analysis. Medicaid beneficiaries had worse 5-year OS than insured patients (HR 1.33, 95% CI 1.08-1.63, P = .006) in 0-18 years age group. Despite chemotherapy, patients older than 18 years showed poor OS in all insurance categories. Patients on Medicaid showed inferior OS compared to insured in 19-40 years (HR 1.46, 95% CI 1.21-1.76, P < .001) and 41-65 years age group (HR 1.27, 95% CI 1.09-1.49, P = .003). Interestingly, no significant difference was observed in the OS between the Medicaid and uninsured groups in each age category.

CONCLUSION

Our large database study demonstrates that insured status is associated with better OS in ALL across all age groups. Further studies to develop effective strategies to bridge health care disparities areessential.

[Combination of socio-demographic and clinical co-variates for predicting treatment responses and outcomes in patients with chronic myeloid leukemia in the chronic phase]

Objective: To explore the impacts of socio-demographic and clinical co-variates on treatment responses and outcomes in patients with chronic myeloid leukemia in the chronic phase (CML-CP) receiving tyrosine kinase inhibitor (TKI) and identified the predictive models for them. Methods: Data of newly diagnosed adult patients with CML-CP receiving first-line TKI and having complete socio-demographic data and clinical information were reviewed. Cox model was used to identify the independent variables associated with complete cytogenetic response (CCyR) , major molecular response (MMR) , molecular response 4 (MR(4)) and molecular response 4.5 (MR(4.5)) , as well as failure-free survival (FFS) , progression-free survival (PFS) , overall survival (OS) and CML-related OS. Results: A total of 1414 CML-CP patients treated with first-line imatinib (n=1176) , nilotinib (n=170) or dasatinib (n=68) were reviewed. Median age was 40 (18-83) years and 873 patients (61.7% ) were males. Result of the multivariate analysis showed that lower educational level (P<0.001-0.070) and EUTOS long-term survival intermediate or high-risk (P<0.001-0.009) were significantly associated with lower cumulative incidences of CCyR, MMR, MR(4) and MR(4.5), as well as the inferior FFS, PFS, OS and CML-related OS. In addition, those who were males, from rural households, had white blood cells (WBC) ≥120×10(9)/L, hemoglobin (HGB) <115 g/L and treated with first-line imatinib had significantly lower cumulative incidences of cytogenetic and/or molecular responses. Being single, divorced or widowed, having, rural household registration, WBC≥120×10(9)/L, HGB<15 g/L, and comorbidity (ies) was significantly associated with inferior FFS, PFS, OS, and/or CML-related OS. Thereafter, the patients were classified into several subgroups using the socio-demographic characteristics and clinical variables by cytogenetic and molecular responses, treatment failure and disease progression, as well as overall survival and CML-related OS, respectively. There were significant differences in treatment responses and outcomes among the subgroups (P<0.001) . Conclusion: Except for clinical co-variates, socio-demographic co-variates significantly correlated with TKI treatment responses and outcomes in CML-CP patients. Models established by the combination of independent socio-demographic and clinical co-variates could effectively predict the responses and outcome.

Disparities in Hepatocellular Carcinoma Survival by Insurance Status: A Population-Based Study in China

Objective: Health disparities related to basic medical insurance in China have not been sufficiently examined, particularly among patients with hepatocellular carcinoma (HCC). This study aims to investigate the disparities in HCC survival by insurance status in Tianjin, China.

Methods: This retrospective analysis used data from the Tianjin Basic Medical Insurance claims database, which consists of enrollees covered by Urban Employee Basic Medical Insurance (UEBMI) and Urban and Rural Resident Basic Medical Insurance (URRBMI). Adult patients newly diagnosed with HCC between 2011 and 2016 were identified and followed until death from any cause, withdrawal from UEBMI or URRBMI, or the latest data in the dataset (censoring as of December 31st 2017), whichever occurred first. Patients' overall survival during the follow-up was assessed using Kaplan-Meier and extrapolated by six parametric models. The hazard ratio (HR) and 95% confidence intervals (CI) were calculated with the adjusted Cox proportional hazards model including age at diagnosis, sex, baseline comorbidities and complications, baseline healthcare resources utilization and medical costs, tumor metastasis at diagnosis, the initial treatment after diagnosis and antiviral therapy during the follow-up.

Results: Two thousand sixty eight patients covered by UEBMI (N = 1,468) and URRBMI (N = 570) were included (mean age: 60.6 vs. 60.9, p = 0.667; female: 31.8 vs. 27.7%, p = 0.074). The median survival time for patients within the UEBMI and URRBMI were 37.8 and 12.2 months, and the 1-, 3-, 5-, 10-year overall survival rates were 63.8, 50.2, 51.0, 33.4, and 44.4, 22.8, 31.5, 13.1%, respectively. Compared with UEBMI, patients covered by URRBMI had 72% (HR: 1.72; 95% CI: 1.47–2.00) higher risk of death after adjustments for measured confounders above. The survival difference was still statistically significant (HR: 1.49; 95% CI: 1.21–1.83) in sensitivity analysis based on propensity score matching.

Conclusions: This study reveals that HCC patients covered by URRBMI may have worse survival than patients covered by UEBMI. Further efforts are warranted to understand healthcare disparities for patients covered by different basic medical insurance in China.

Acute lymphoblastic leukemia (ALL) in adults: disparities in treatment intervention based on access to treatment facility

Adult acute lymphoblastic leukemia (ALL) is associated with poor outcomes. We evaluated differences by facility type in the parameters of 6766 adult ALL patients ≥ 40 years of age diagnosed from 2004 to 2015 in the National Cancer DataBase (NCDB) and survival outcomes using two-sample t-tests or chi-square tests and Cox proportional hazards models. Those treated in academic facilities were younger (mean 58.5 versus 61.7 years, p < 0.001), Black (8.1% versus 5.6%, p < 0.001), had private insurance (50.9% versus 44.0%, p < 0.001), and more likely to receive chemotherapy (93.2% versus 81.4%, p < 0.001), any radiotherapy (14.9% versus 7.3%, p < 0.001), stem cell transplant (9.4% versus 2.5%, p < 0.001), or total body irradiation (TBI) (11.3% versus 4.3%, p < 0.001). Patients treated at an academic facility had a higher hazard of death (p<.05) while those that received any chemotherapy or TBI or CNS radiation had a lower risk of death (all p < 0.05). These parameters should be evaluated in future studies.

Hematopoietic Cell Transplantation Outcomes among Medicaid and Privately Insured Patients with Sickle Cell Disease

Compared with privately insured patients, recipients of Medicaid have been reported to have worse outcomes in several clinical conditions and following various surgical and medical procedures. However, the relationship between health insurance status and allogeneic hematopoietic cell transplantation (alloHCT) outcomes among patients with sickle cell disease (SCD) is not well described. We sought to compare alloHCT outcomes between patients with SCD who underwent alloHCT while enrolled on Medicaid versus those who underwent alloHCT while covered by private health insurance. We conducted a retrospective multicenter study using data reported to the Center for International Blood and Marrow Transplant Research. US patients enrolled on Medicaid or private insurance who underwent a first alloHCT for SCD between 2008 and 2018 were eligible for this study. The primary outcome was event-free survival (EFS), defined as time to death or graft failure. Secondary outcomes included overall survival (OS), graft failure, acute graft-versus-host disease (GVHD), and chronic GVHD. Univariate analysis was performed using the Kaplan-Meier method for EFS and OS. The proportion of patients with graft failure, acute GVHD, and/or chronic GVHD was calculated using the cumulative incidence estimator to accommodate competing risks (ie, death). Cox regression was used to identify factors associated with EFS, OS, graft failure, and acute and chronic GVHD. A total of 399 patients (Medicaid, n = 225; private insurance, n = 174) were included in this study. The median duration of follow-up was 34 months (range, 1.0 to 134.7 months) for the Medicaid group and 38.7 months (range, 0.3 to 139.3 months) for the private insurance group. Compared with the patients with private insurance, those on Medicaid had a significantly lower 3-year EFS (75.4% [95% confidence interval (CI), 69.4% to 81%] versus 82.2% [95% CI, 76.9% to 87.8%]; P = .0279) and a significantly higher 3-year cumulative incidence of graft failure (17.2% [95% CI, 12.5% to 22.5%] versus 10.5% [95% CI, 6.4% to 15.4%]; P = .0372). There were no significant between-group differences in 3-year OS (P = .6337) or in the cumulative incidence of acute GVHD (P = .4556) or chronic GVHD (P = .6878). Cox regression analysis after adjusting for other significant variables showed that the patients enrolled on Medicaid had a lower EFS (hazard ratio [HR], 2.36; 95% CI, 1.44 to 3.85; P = .0006) and a higher cumulative incidence of graft failure (HR, 2.57; 95% CI, 1.43 to 4.60; P = .0015), with no significant between-group differences in OS (HR, 0.99; 95% CI, 0.47 to 2.07; P = .9765), acute GVHD (HR, 0.94; 95% CI, 0.59 to 1.49; P = .7905), or cGVHD (HR, 0.98; 95% CI, 0.65 to 1.48; P = .9331). That EFS is worse in patients on Medicaid compared with privately insured individuals following alloHCT for SCD provides the rationale for research to better understand the mechanisms by which insurance status impacts alloHCT outcomes among patients with SCD.

[Treatment status of tyrosine kinase inhibitors in Chinese patients with chronic myeloid leukemia in 2020]

Objective: To investigate the current status of treatment choice and responses in patients with chronic myeloid leukemia (CML) in China. Methods: From the end of April to mid-May in 2020, a cross-sectional survey, by filling out a survey questionnaire, was conducted to explore the first-line choice of tyrosine kinase inhibitors (TKI) , current medications, drug switch and major molecular responses (MMR) as well as the variables associated with them in patients in China. Results: Data of 2933 respondents with CML from 31 provinces, municipalities, and autonomous regions across the country were included in this study. 1683 respondents (57.4%) were males. Median age was 38 (16-87) years old. 2481 respondents (84.6%) received imatinib as first-line TKI; 1803 (61.5%) , the original new drug (branded drug) . When completing the questionnaire, 1765 respondents (60.2%) were receiving imatinib; 1791 (61.1%) , branded drug. 1185 respondents (40.4%) had experienced TKI switch. With a median follow-up of 45 (3-227) months, 1417 of 1944 (72.9%) respondents with newly diagnosed CML in the chronic phase achieved MMR. Multivariate analysis showed that the respondents with urban household registration (OR=0.6, 95%CI 0.5-0.8, P<0.001) , ≥ bachelor degree (OR=0.5, 95%CI 0.4-0.7, P<0.001) , and in the advanced phase at diagnosis (OR=0.5, 95%CI 0.3-0.8, P=0.001) less preferred Chinese generic TKI, while the respondents from the central region in China more preferred Chinese generic TKI more than those from the eastern region (OR=1.7, 95%CI 1.4-2.0, P<0.001) . Moreover, the respondents in the advanced phase at diagnosis more preferred second-generation TKI (OR=5.4, 95%CI 3.6-8.2, P<0.001) ; those ≥60 years old, less preferred second-generation TKI (OR=0.4, 95%CI 0.2-0.7, P=0.002) . Being in the advanced phase at diagnosis (OR=2.2, 95%CI 1.6-3.2, P<0.001) , first-line choice of imatinib (OR=2.0, 95%CI 1.6-2.6, P<0.001) or Chinese generic drugs (OR=1.3, 95%CI 1.1-1.6, P=0.002) , longer interval from diagnose of CML to starting TKI treatment (OR=1.2, 95%CI 1.1-1.2, P<0.001) and longer duration of TKI therapy (OR=1.1, 95%CI 1.0-1.1, P<0.001) were significantly associated with TKI switch; urban household registration (OR=0.7, 95%CI 0.6-0.8, P<0.001) , ≥MMR (OR=0.6, 95%CI 0.5-0.8, P<0.001) and unknown response (OR=0.7, 95%CI 0.6-0.9, P=0.003) , no TKI switch. Female sex (OR=1.4, 95%CI 1.1-1.7, P=0.003) , urban household registration (OR=1.6, 95%CI 1.3-2.0, P<0.001) , front-line imatinib therapy (OR=1.4, 95%CI 1.1-1.9, P=0.016) and longer duration of TKI treatment (OR=1.2, 95%CI 1.2-1.3, P<0.001) were significantly associated with achieving a MMR or better response; age ≥ 60 years old (OR=0.7, 95%CI 0.4-1.0, P=0.047) and TKI switch (OR=0.6, 95%CI 0.5-0.7, P<0.001) , achieving no MMR. Conclusions: By 2020, the majority of Chinese CML patients received imatinib as the fist-line TKI therapy and continue to take it. More than half of TKIs were branded drugs. Socio-demographic characteristics and clinical variables affect their TKI choice, drug switch, and treatment response.

Barriers to Access to Hematopoietic Cell Transplantation among Patients with Acute Myeloid Leukemia in Virginia

Allogeneic hematopoietic cell transplantation (HCT) is a standard therapy for patients with intermediate to high-risk acute myeloid leukemia (AML) and is associated with improved long-term disease-free survival. Disparity exists in access to HCT among different patient populations and requires further study. In this study, we compared HCT rates for AML among different regions in the state of Virginia and identified geographic and socioeconomic factors associated with the likelihood of receiving HCT. We conducted a retrospective, cohort study of patients 18 to 74 years of age diagnosed with AML in Virginia from 2013 to 2017 as reported to the Virginia Cancer Registry (VCR); the VCR was further linked with the Center for International Blood and Marrow Transplant Research database for identification of patients who had undergone HCT within 2 years of diagnosis. Socioeconomic data were generated from the VCR and the American Community Survey. Univariate and multivariable logistic regression models were used to examine selected socioeconomic factors of interest, including patient-level information such as sex, age, race, marital status, and primary insurance payer, as well as factors associated with geography, including the Social Vulnerability Index (SVI) and percentage of African Americans residing in the region. In Virginia, 818 patients were diagnosed with AML from 2013 to 2017, and, of these, 168 patients (21%) underwent HCT within 2 years of diagnosis. Median age was lower in the HCT cohort (55 years) versus the non-HCT cohort (64 years) (P < .001). There was a higher proportion of married patients in the HCT cohort (67%) versus the non-HCT cohort (53%) (P = .005). The rate of HCT varied by geographic region (P = .004). The multivariable analyses (without including SVI) showed decreased likelihood of HCT with increasing age (odds ratio [OR], .96; 95% confidence interval [CI], .95 to .98). Patients from regions that had a greater than 25% African American population were less likely to undergo HCT (OR, .58; 95% CI, .38 to .89). Patients who were not married were less likely to undergo HCT compared with married patients (OR, .56; 95% CI, .36 to .88). Patients with government-sponsored insurance as the primary payer were less likely to undergo HCT compared with patients with private insurance (OR, .49; 95% CI, .32 to .77). Patients living in Zip Code areas with a greater percentage of population with a bachelor's or graduate degree were more likely to undergo HCT (OR, 1.02; 95% CI, 1.00 to 1.03). In a separate multivariate model with SVI, patients residing in a Zip Code with higher SVI were less likely to undergo HCT (OR, .37; 95% CI, .16 to .82). From 2013 to 2017, we found that the likelihood of a patient undergoing HCT in Virginia for AML within 2 years of diagnosis was negatively associated with increasing age, percent of African Americans residing in the region, not-married relationship status, government-sponsored insurance as primary payer, higher SVI, and decreased percent of population with a bachelor's or graduate degree. Resources should be directed toward at-risk patient populations to remove barriers to improve access to HCT. The SVI can be used to identify communities at risk nationwide.

Does insurance type influence overall survival in patients with laryngeal squamous cell carcinoma?

OBJECTIVE

Patients with head and neck cancer with Medicaid or no insurance present at a more advanced stage and have lower survival. This study is one of the first to examine the relationship between specific insurance types and overall survival for laryngeal squamous cell carcinoma patients.

STUDY DESIGN

Retrospective chart review.

SETTING

Henry Ford Cancer Institute.

SUBJECTS AND METHODS

A retrospective database review was performed using the Henry Ford Virtual Data Warehouse Tumor Registry. Six hundred and fifty patients diagnosed with laryngeal squamous cell carcinoma were identified. Insurance groups analyzed were fee for service, health maintenance organization, Henry Ford Medical Group - a managed care type insurance, Medicare and Medicaid/uninsured. Cox proportional hazards and Kaplan-Meier curves were generated to analyze overall survival and display survival differences respectively.

RESULTS

The uninsured group had the lowest median survival time of 29.8 months (95% CI: 20.3-44.8) and the highest HR of 1.85 (95% CI 1.16-2.93) as compared to the HMO group at p < 0.001. Patients with fee for service insurance had longer overall survival compared to the other insurance types. Patients with fee for service insurance also had a high proportion of patients with advanced stage disease, but a younger mean age. Henry Ford Medical Group had a higher mean age and no statistically significant difference in survival when compared to fee for service. (p = 0.999) After controlling for socioeconomic status, insurance type remains a significant predictor of overall survival.

CONCLUSIONS

Fee for service had the highest overall survival of the different insurance types, but it was only statistically significant when compared to the Medicaid/uninsured group.

Impact of insurance status on the survival of younger patients diagnosed with acute promyelocytic leukemia in the United States

BACKGROUND

Survival among patients diagnosed with acute promyelocytic leukemia (APL) has significantly improved with the use of all-trans retinoic acid and arsenic trioxide. However, the need for immediate diagnosis and access to specialized care and the cost associated with APL management can potentially act as barriers for disadvantaged patients. The influence of sociodemographic factors on the outcomes of patients with APL remains unclear.

METHODS

The authors used the National Cancer Institute's Surveillance, Epidemiology, and End Results program to characterize the impact of sociodemographic factors on survival in patients younger than 65 years with APL.

RESULTS

The authors identified 1787 cases: 816 who were younger than 40 years and 971 who were 40 years old or older. Insured patients who were younger than 40 years had an improved 5-year overall survival (OS) rate in comparison with patients without insurance. Among patients who were 40 years or older, having insurance (other than Medicaid) was associated with better survival than being a Medicaid beneficiary or being uninsured, whereas patients with Medicaid had improved 5-year OS in comparison with uninsured patients. In a multivariate analysis of patients younger than 40 years, a higher risk of death was associated with being male, being diagnosed in earlier years, and being uninsured. For patients who were 40 years old or older, mortality increased with increasing age and for both Medicaid and uninsured patients in comparison with insured patients.

CONCLUSIONS

Despite the high cure rate experienced by patients with APL, patients younger than 65 years without insurance and those 40 years old or older with Medicaid are at a significant disadvantage in comparison with patients with insurance. These findings point to an opportunity to improve survival in APL by addressing access to care.

Impact of socio-demographic co-variates on prognosis, tyrosine kinase-inhibitor use and outcomes in persons with newly-diagnosed chronic myeloid leukaemia

PURPOSE

Define the impact of socio-demographic co-variates on outcomes of persons with newly-diagnosed chronic phase chronic myeloid leukaemia (CML).

METHODS

Data of 961 consecutive subjects with newly-diagnosed CML were integrated for these outcomes in multi-variable Cox regression analyses after adjusting for confounders and interactions.

RESULTS

Elder age was associated with less use of a 2nd generation TKI as initial therapy. Household registration, comorbidity(ies) and education level were associated with use of a generic rather than branded TKI as initial therapy. Subjects with lower education level were more likely to be diagnosed with CML because of leukaemia-related symptoms. Rural registration and lower education level were also associated with a greater likelihood of switching TKI-therapy. Lower education level was associated with lower likelihood of achieving MMR [HR = 0.8 (0.7, 0.9), p = 0.002], MR^4.5 [HR = 0.8 (0.7, 1.0), p = 0.055], and poor FFS [HR = 1.7 (1.3, 2.5); p < 0.001], PFS [HR = 2.0 (1.1, 5.0); p = 0.014], CML-related survival [HR = 2.5 (1.0, 10.0); p = 0.060] and survival [HR = 2.5 (1.0, 10.0); p = 0.043]. Males had lower rates of MMR and MR^4.5 and worse FFS, but not survival compared with females. Being married was associated with a higher rate of MR^4.5, fewer failures, progressions, and deaths.

CONCLUSION

Socio-demographic co-variates have a strong impact on therapy choice and responses in persons with newly-diagnosed CML, including circumstances of diagnosis, risk category and prognosis, use of initial TKI, switching TKIs, response to TKI-therapy, and outcomes.

Adverse events among chronic myelogenous leukemia patients treated with tyrosine kinase inhibitors: a real-world analysis of health plan enrollees

With tyrosine kinase inhibitor (TKI) therapy, chronic myelogenous leukemia (CML) is now a chronic disease. CML patients treated with TKIs (n = 1200) were identified from the OptumLabs^® Data Warehouse (de-identified claims and electronic health records) between 2000 and 2016 and compared with a non-cancer cohort (n = 7635). The 5-year cumulative incidence of all organ system outcomes was significantly greater for the TKI versus non-cancer group. In the first year, compared with imatinib, later generation TKIs were associated with primary infections (hazard ratios [HR] 1.43, 95% CI 1.02-2.00), circulatory events (HR 1.15, 95% CI 1.01-1.31), and skin issues (HR 1.43, 95% CI 1.13-1.80); musculoskeletal and nervous system/sensory issues were less common (HRs 0.83-0.84, p < 0.05). Increased risk of infections, cardiopulmonary and skin issues associated with later generation TKIs persisted in subsequent years. In this real-world population, TKI therapy was associated with a high burden of adverse events. Later generation TKIs may have greater toxicity than imatinib.

Health Care Cost Associated With Contemporary Chronic Myelogenous Leukemia Therapy Compared With That of Other Hematologic Malignancies

PURPOSE

Given the widespread introduction of tyrosine kinase inhibitors (TKIs), we evaluated the cost associated with chronic myelogenous leukemia (CML) care compared with the cost of care for patients with hematologic malignancies (HEM) and for patients without cancer (GEN), to aid with resource allocation and clinical decision making.

METHODS

A retrospective cohort was constructed from the OptumLabs Data Warehouse using claims from 2000 to 2016. Eligible patients had ≥ 2 CML claims and were enrolled continuously for ≥ 6 months before diagnosis and ≥ 1 year afterward (n = 1,909). Patients with CML were frequency matched 4:1 with HEM and GEN cohorts and were observed through October 2017. We used generalized linear models to assess the variation in total mean annualized health care costs in the 3 cohorts and to examine the influence of factors associated with costs.

RESULTS

Mean annualized costs for CML were $82,054 (ie, $25,471 [95% CI, $20,808 to $30,133] more than those for HEM and $74,993 [95% CI, $70,818 to $79,167] more than those for GEN); these differences were driven by pharmacy costs in the CML group. The cost of CML care exceeded that for HEM and GEN for all index years in this study and increased over each diagnostic interval until 2015, peaking at $91,990. The mean annual cost of all TKIs increased. Imatinib's mean annualized cost was $41,546 in the period 2000-2004 but increased to $105,069 in the period 2015-2017. In multivariable analysis, percent days on TKIs had the greatest influence on cost: ≥ 75% of the time versus none showed a difference in cost of $108,716 (95% CI, $99,193 to $118,239).

CONCLUSION

Contemporary CML costs exceeded the cost of treatment of other hematologic malignancies. Cost was primarily driven by TKIs, whose cost continued to increase over time.

Education level as a predictor of survival in patients with multiple myeloma

BACKGROUND

Disparities in multiple myeloma (MM) prognosis based on sociodemographic factors may exist. We investigated whether education level at diagnosis influenced Chinese MM patient outcomes.

METHODS

We performed a multicenter retrospective analysis of data from 773 MM patients across 9 centers in China from 2006 to 2019. Sociodemographic and clinical factors at diagnosis and treatment regimens were recorded, and univariate and multivariate analyses were performed.

RESULTS

Overall, 69.2% of patients had low education levels. Patients with low education levels differed from those with high education levels in that they were more likely to be older, and a higher proportion lived in rural areas, were unemployed, had lower annual incomes and lacked insurance. Additionally, compared to patients with high education levels, patients with low education levels had a higher proportion of international staging system (ISS) stage III classification and elevated lactate dehydrogenase (LDH) levels and underwent transplantation less often. Patients with high education levels had a median progression-free survival (PFS) of 67.50 (95% confidence interval (CI): 51.66-83.39) months, which was better than that of patients with low education levels (30.60 months, 95% CI: 27.38-33.82, p < 0.001). Similarly, patients with high education levels had a median overall survival (OS) of 122.27 (95% CI: 117.05-127.49) months, which was also better than that of patients with low education levels (58.83 months, 95% CI: 48.87-62.79, p < 0.001). In the multivariable analysis, patients with high education levels had lower relapse rates and higher survival rates than did those with low education level in terms of PFS and OS (hazard ratio (HR) = 0.50 [95% CI: 0.34-0.72], p < 0.001; HR = 0.32 [0.19-0.56], p < 0.001, respectively).

CONCLUSIONS

Low education levels may independently predict poor survival in MM patients in China.

The impact of insurance status on the survival outcomes of patients with renal cell carcinoma

Background

The impact of insurance status on renal cell carcinoma (RCC) patient survival is unclear. In this study, we investigated the effects of insurance status on the survival outcomes of RCC patients in the United States of America.

Methods

Data of patients diagnosed with RCC between 2007 and 2014 were obtained from the Surveillance, Epidemiology and End Results (SEER) database, a large national database including statistics on cancer patients. The Kaplan-Meier method and Cox regression analysis were used to determine the influence of insurance status on cancer-specific survival (CSS).

Results

A total of 30,951 eligible RCC patients were identified. Of these patients, 25,493 (82.37%) were insured, 3,959 (12.79%) had any Medicaid coverage, and 1,499 (4.84%) were uninsured. Kaplan-Meier analysis revealed that insurance status was associated with better CCS (P<0.001). The 5-year CSS rates of patients with insurance, any Medicaid, and no insurance were 88.3%, 82.6%, and 82.7%, respectively. Multivariate Cox regression analysis showed that patients with any Medicaid had poorer CSS than insured patients [hazard ratio (HR), 1.222; 95% confidence interval (CI), 1.100–1.357]. Stratified analysis revealed that at localized tumor stage and at regional tumor stage or among white patients, any Medicaid insurance was an independent predictor of an unfavorable survival outcome.

Conclusions

Among the RCC patients in this study, individuals with insurance experienced improved CSS while individuals with any Medicaid tended to suffer worse survival outcomes.

Outcomes of Chronic Phase Chronic Myeloid Leukemia after Treatment with Multiple Tyrosine Kinase Inhibitors

We sought to evaluate the outcomes of chronic phase (CP) chronic myeloid leukemia (CML) in an era where five tyrosine kinase inhibitors (TKIs) are commercially available for the treatment of CML. Records of patients diagnosed with CP CML, treated with TKIs and referred to our center were reviewed. Between January 2005 and April 2016, 206 patients were followed for a median of 48.8 (1.4–190.1) months. A total of 76 (37%) patients received one TKI, 73 (35%) received two TKIs and 57 (28%) were exposed to >3 TKIs (3 TKIs, n = 33; 4 TKIs, n = 17; 5 TKIs, n = 7). Nineteen (9.2%) patients progressed to advanced phases of CML (accelerated phase, n = 6; myeloid blastic phase, n = 4; lymphoid blastic phase, n = 9). One third (n = 69) achieved complete molecular response (CMR) at first-line treatment. An additional 55 patients achieved CMR after second-line treatment. Twenty-five patients (12.1%) attempted TKI discontinuation and 14 (6.8%) stopped TKIs for a median of 6.3 months (range 1–53.4). The 10-year progression-free survival and overall survival (OS) rates were 81% and 87%, respectively. OS after 10-years, based on TKI exposure, was 100% (1 TKI), 82% (2 TKIs), 87% (3 TKIs), 75% (4 TKIs) and 55% (5 TKIs). The best OS was observed in patients tolerating and responding to first line TKI, but multiple TKIs led patients to gain treatment-free remission.

Association between socioeconomic factors at diagnosis and survival in breast cancer: A population-based study

Background

The associations between socioeconomic statuses and survival outcomes of breast cancer remain unclear. No model has included both histological and socioeconomic factors to predict the survival of breast cancer. This study was designed to develop nomograms to predict breast cancer–specific survival (BCSS) and overall survival (OS) with consideration of socioeconomic factors for breast cancer patients.

Materials and methods

We included a total of 207 749 female patients, diagnosed with malignant breast cancer between 2007 and 2012 from the Surveillance, Epidemiology, and End Results database. BCSS and OS were evaluated with Gray's test and log‐rank tests, respectively. Marital statuses, insurance statuses, residence, median household income, poverty rate, unemployment rate, and education level were included as socioeconomic factors in univariate and multivariate Cox regression analyses. Clinicopathological factors and socioeconomic factors were integrated to construct nomograms. Calibration plots and concordance indexes (C‐indexes) were used to evaluate the accuracy and discrimination of the models.

Results

Four and three socioeconomic factors were involved in constructing the nomograms for 3‐, 5‐, and 7‐year BCSS and OS, respectively. The C‐indexes of the final nomograms were higher than those of the TNM staging system for predicting BCSS (0.835 vs 0.782; P < .001) and OS (0.773 vs 0.676; P < .001). The performance of the nomograms for predicting OS was significantly lower when excluding socioeconomic factors (P < .001).

Conclusion

These findings may highlight the importance of developing health‐related policies and the necessity of targeted social support‐based interventions for high‐risk patients.

Incidence and risk factors of gastrointestinal neuroendocrine neoplasm metastasis in liver, lung, bone, and brain: A population-based study

Background

Neuroendocrine neoplasm is a rare solid tumor. Metastatic pattern of the gastrointestinal neuroendocrine neoplasm (GI‐NEN) has not been fully explored.

Methods

Data were obtained from the Surveillance, Epidemiology, and End Results (SEER) database (SEER‐9 registry) from 1973 to 2015. Incidence was estimated by Joinpoint regression analyses. Data with additional treatment fields of GI‐NEN were extracted from the SEER‐18 registry from 1 January 2010 to 31 December 2015. A total of 14 685 GI‐NEN patients were included in this study. Statistical analyses were performed with SPSS 25.0, the Intercooled Stata SE 15.0, and GraphPad Prism 7.

Results

Incidence of GI‐NENs increased from 0.51 per 100 000 patients in 1973 to 6.20 per 100 000 patients in 2015. Of them, 2003 patients were stage IV GI‐NEN at the time of diagnosis, including 1459 (72.84%) patients with liver metastasis, 144 (7.19%) lung metastasis, 115 (5.74%) bone metastasis, and 27 (1.35%) brain metastasis. Esophageal NEN had the highest risk of metastasis (52.68%). The median survival for patients with liver, lung, bone, and brain metastasis was 38, 6, 9, and 2 months, respectively. The presence of lung or liver metastasis indicated higher risk of concurrent existence of bone and brain metastasis than those without.

Conclusion

Bone and brain metastasis should be screened in the GI‐NEN patients if they had lung or liver metastasis. Findings of the current study could help clinicians to identify distant metastasis of GI‐NENs as early as possible, and by which, to improve survival rate of GI‐NENs.

Insurance status is related to overall survival in patients with small intestine adenocarcinoma: A population-based study

BACKGROUND

Our goal was to investigate the effect of insurance status on the overall survival (OS) in cases of small intestine adenocarcinoma.

METHODS

The SEER (Surveillance, Epidemiology, and End Results) database was used to identify 3822 patients who were diagnosed with small intestine adenocarcinoma between 2007 and 2015. The proportional hazard ASSUMPTION was evaluated by proportional-hazards assumption test and Schoenfeld residual test. The Kaplan-Meier method and Cox proportional-hazards regression analysis were performed to evaluate the association between insurance status and OS.

RESULTS

We found that the insurance status at the time of diagnosis affected OS at the population level, both in those aged <65 and ≥65 years. Cox multivariate analysis of patients aged <65 years revealed that the hazard of death was greater in the Medicaid group (hazard ratio [HR] = 1.641, 95% confidence interval [CI] = 1.299-2.073, P < 0.001] and uninsured group (HR = 1.472, 95% CI = 1.095-1.979, P = 0.010) compared with the insured group, while the OS did not differ significantly between the Medicaid and uninsured groups. Similarly, the hazard of death among patients aged ≥65 years was higher in the Medicaid than the insured group (HR = 1.403, 95% CI = 1.136-1.733, P = 0.002).

CONCLUSION

Our results suggest that patients with small intestine adenocarcinoma with insurance coverage have a significantly better OS than patients who have Medicaid or are uninsured, while the OS does not differ between Medicaid and uninsured patients.

Influence of marital status on small intestinal adenocarcinoma survival: an analysis of the Surveillance, Epidemiology, and End Results (SEER) database

Aim

No studies have been published on the relationship between marital status and outcomes in small intestinal cancers. The present study was conducted to explore the influence of marital status on small intestinal adenocarcinoma survival based on the Surveillance, Epidemiology, and End Results (SEER) database.

Methods

Data from eligible patients diagnosed with small intestinal adenocarcinoma between 2004 and 2015 were extracted from the SEER database. Patients were categorized into married group (including common law) and unmarried group (including single [never married], widowed, divorced, separated, and unmarried or domestic partner). The primary endpoints were 5-year overall survival (OS) and 5-year cancer-specific survival (CSS). A survival curve was generated by the Kaplan–Meier method, and the survival rate differences were estimated by a log-rank test. A multivariate Cox proportional hazard model was used to evaluate the independent risk factors for survival.

Results

A total of 6,747 small intestinal adenocarcinoma patients were enrolled, including 3,862 married and 2,885 unmarried patients. The 5-year OS and 5-year CSS were significantly greater in married patients than in unmarried patients (27.1 vs 18.8% for OS and 45.7 vs 39.3% for CSS, both P<0.001). After adjusting for age, insurance status, tumor primary site, TNM stage, tumor grade, tumor histology, and surgery, the multivariate Cox proportional hazards model showed that marriage is an independent protective factor for OS (HR =0.789, 95% CI: 0.745–0.836, P<0.001) and CSS (HR =0.794, 95% CI: 0.736–0.857, P<0.001).

Conclusion

Married small intestinal adenocarcinoma patients have better OS and CSS than unmarried patients. Psychological and economic supports from the spouses of married patients may contribute to improvements in survival.

Chronic Myeloid Leukemia: Long-Term Outcome Data in the Imatinib Era

Recent reports suggest that in the TKI era, the survival of chronic myeloid leukemia approaches that of general population. The real-world situation may be different. We analyzed patients (≥ 18 years) with chronic phase (CP) CML enrolled over a 7-year period (2002-2008) in an imatinib access program. Event was defined as non-achievement/loss of complete hematological response (CHR), loss of cytogenetic response or progression to accelerated (AP)/blast phase (BC). Progression was defined as development of AP/BC. Any delay of ≥ 1 week in reporting for drug refills was categorized as non-adherence. Of the 443 patients with CP-CML who started imatinib [median age: 36 years (18-70); High risk: 32% (Sokal) and 14% (Hasford/EUTOS)], 162 (37%) had received prior therapy [mostly hydroxyurea (N = 153]. CHR was achieved by 430 (97%). After a median follow up of 109.5 months (3.4-184.3), the EFS, PFS and OS at 10 years was 43%, 75% and 76% respectively. Superior EFS was predicted by low-risk Hasford score and adherence to therapy. Adherence to therapy was the only factor which predicted EFS on multivariate analysis (HR 0.64, 95% CI 0.50-0.83, P = 0.001). Long-term follow up of patients with CP-CML reflects poorer survival than those reported from clinical trials and reflects multiple issues that affect "real-world" patients. The continued drop in EFS, noted during long-term follow up, might take time to impact the PFS and OS due to the chronic nature of the disease. Sustained adherence to therapy is important for optimum long-term outcomes.

Body Mass Index at Pediatric Leukemia Diagnosis and the Risks of Relapse and Mortality: Findings from a Single Institution and Meta-analysis

High body mass index (BMI) is associated with relapse of certain adult cancers, but limited knowledge exists on its association with pediatric leukemia relapse. We evaluated the association between overweight/obesity (BMI ≥ 85^th percentile) at pediatric leukemia diagnosis and relapse or mortality. A meta-analysis combining our findings with those of previous studies was also performed. The study included 181 pediatric leukemia patients. Sporadic missing data were multiply imputed, and hazard ratios (HR) and 95% confidence intervals (95% CI) were calculated using Cox proportional hazard. Age- and sex-adjusted analysis for patients ≥10 years showed a trend towards increased risk of relapse for overweight/obese patients (HR = 2.89, 95% CI = 0.89-9.36, p=0.08) that was not evident among children<10 years (HR = 0.52, 95% CI = 0.08-3.54, p=0.49). We observed a statistically significant association between mortality and obesity status in unadjusted models (imputed: HR = 2.54, 95% CI = 1.15-5.60, p=0.021; complete set: HR = 2.72, 95% CI = 1.26-5.91, p=0.011) that was not statistically significant in both age- and sex-adjusted and multivariable adjusted analyses. The pooled estimate of our finding and previous studies showed an association between overweight/obese and increased risk of mortality for ALL (HR = 1.39, 95% CI = 1.16-1.46) and AML (HR = 1.64, 95% CI = 1.32-2.04). Although our study did not observe statistically significant associations due to a small sample size, the meta-analyses revealed an increased risk of mortality for overweight/obese patients. The findings of our study suggest an association of obesity status with relapse in children ≥10 years. However, our study was based on a small sample size from a single institution, and this association needs to be investigated in larger, multicenter studies.

Insights into the management of chronic myeloid leukemia in resource-poor settings: a Mexican perspective

INTRODUCTION

The arrival of targeted therapy for chronic myeloid leukemia (CML) was revolutionary. However, due to the high cost of tyrosine kinase inhibitors, access to this highly effective therapy with strict monitoring strategies is limited in low to middle-income countries. In this context, following standard recommendations proposed by experts in developed countries is difficult. Areas covered: This review aims to provide an insight into the management of patients with CML living in a resource-limited setting. It addresses several issues: diagnosis, initial treatment, disease monitoring, and additional treatment alternatives including allogeneic hematopoietic stem cell transplantation. Expert commentary: Imatinib is probably the most cost-effective TKI for initial treatment in developing and underdeveloped countries. Generic imatinib preparations should be evaluated before considering their widespread use. Adherence to treatment should be emphasized. Adequate monitoring can be performed through several methods successfully and is important for predicting outcomes, particularly early in the first year, and if treatment suspension is being considered. Access to further therapeutic alternatives should define our actions after failure or intolerance to imatinib, preferring additional TKIs if possible. Allogeneic transplantation in chronic phase is a viable option in this context.