scholarly journals Impact of Insurance Status on the Day of Admission and Clinical Outcome on Acute Myeloid Leukemia (AML)Patients

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2274-2274
Author(s):  
Bilal Ahmad ◽  
Hossein Maymani ◽  
Haseeb Saeed ◽  
Mohamad Khawandanah ◽  
Samer A Srour ◽  
...  
Keyword(s):  
Overall Survival ◽  
Myeloid Leukemia ◽  
Private Insurance ◽  
P Value ◽  
Insurance Status ◽  
Uninsured Patients ◽  
Public Insurance ◽  
Group 2 ◽  
Insured Patients ◽  
Group 1

Abstract Background: In patients with acute myeloid leukemia (AML), insurance status has not been demonstrated to adversely impact outcomes. However, insurance status appears to be an independent factor in healthcare utilization. University of Oklahoma Health Sciences Center (OUHSC) is the main tertiary hospital in the State of Oklahoma treating patients with acute leukemia. We hypothesized that treatment patterns might be different between the insured and uninsured patients. We hereby attempt to analyze the association between insurance status, week day of admission and outcomes. Methods: We retrospectively analyzed patients from January 2000 to June 2012 diagnosed with AML over 18 years of age, who were treated at OUHSC with induction chemotherapy. Patients were divided into two groups: Group 1 included patients who were admitted on weekdays (Monday-Thursday) and group 2 included patients admitted on weekends (Friday-Sunday). Patients were also sub-classified as having private insurance, public insurance (Medicaid and Medicare) or no insurance. Primary outcomes were overall survival at follow up (OS), complete remission (CR) and Relapse. Chi-Square analysis was utilized to assess if day of admission and insurance status was related to OS, CR and Relapse. Cox Proportional hazards model was used to measure association of insurance status, day of admission and their interaction and Kaplan Meir Survival curves were used to estimate survival rates for day of admission by insurance status. Results: We analyzed total of 161 patients, 157 met inclusion criteria with 69 (44%) having public insurance, 58 (37%) with private insurance and 30 (19%) were uninsured. Group 1 with 94 (60%) patients was admitted on weekdays (Monday–Thursday), and group 2 with 63 (40%) patients was admitted on weekend (Friday-Sunday). The median age at diagnosis was 49 years, 63.7% male 36.3% female. 77.0% white, 10.6% African American, 6.2% Native American and 3.7% Hispanic. We found a significant interaction between insurance status and day of admission, 63% of uninsured patients being admitted on weekend (Fri-Sun) with (p-value=0.0292). When we stratified patients by insurance status there was no difference in survival outcomes for uninsured patients based on day of admission. However, for patients with insurance who were admitted on weekdays Mon-Thurs (Group 1) had a hazard ratio (HR) of death 0.487 relative to those on weekends Fri-Sun (Group 2) (p=0.0238). Median overall survival (OS) for uninsured patients in (Group 2) was 147.5 days (95% CI=79-252) as compare to insured patients in (Group 1) 252 days (95% CI=116-459) with a P value 0.0182. The proportion of patients achieving CR did not differ by day of admission (p=0.3275) and insurance type (0.5678). Relapse was not associated with day of admission (p=0.2284) or by insurance type (p=0.4057). Conclusions: For the patients with the diagnosis of AML who presented to our institution, there was a noticeable trend of uninsured patients being admitted over the weekend. The overall survival was lower for the uninsured patients who were admitted on the weekend as compare to the insured patients who were admitted on weekdays. This trend is both noteworthy and significant and due to its possible impact on standard of care warrants further investigation. Disclosures No relevant conflicts of interest to declare.

Loss of the Y Chromosome Predicts Lower Complete Cytogenetic Remission Rate in Patients (pts) with Chronic Myeloid Leukemia (CML)

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 4804-4804
Author(s):  
Mohamed Abdelfatah ◽  
Adel Al-Alwan ◽  
Zeyad Kanaan ◽  
Mark R Litzow ◽  
Alexandra Wolanskyj ◽  
...  
Keyword(s):  
Overall Survival ◽  
Y Chromosome ◽  
Myeloid Leukemia ◽  
Chronic Phase ◽  
Molecular Response ◽  
Blast Phase ◽  
Male Patients ◽  
Cytogenetic Remission ◽  
Group 2 ◽  
Group 1

Abstract Abstract 4804 Background: Chronic myeloid leukemia (CML) is one of the classic myeloproliferative neoplasms characterized by a reciprocal translocation of BCR and ABL t(9;22)(q34;q11). Tyrosine kinase inhibitors (TKI) have revolutionized the management of CML in inducing rapid and prolonged responses. However; clonal evolution (CE) is considered a poor prognostic factor and a criterion for accelerated phase (AP) CML by the World Health Organization (WHO). Deletion of chromosome Y (−Y) is frequently considered an age-related abnormality and the exact prognostic value has not yet been determined. Aim: To determine if –Y carries an impact on the clinical outcome of male pts with CML. Methods: All male patients diagnosed with chronic phase CML in our institution between 1993 and 2011 were screened for -Y. Data were collected in a retrospective manner and compared (using t-test) to male patients with sole BCR-ABL translocation after excluding patients with advanced stages (accelerated phase, blast phase). Demographics, laboratory tests, cytogenetic analysis, molecular testing and survival data were abstracted. Kaplan-Meier estimates of overall survival were used via JMP software v9.0. Institutional Review Board (IRB) approval was obtained for this study in accordance with the Helsinki Declaration. Results: 20 of 162 (12%) males with CML were found to have –Y abnormality (group 1). CML male patients with sole Philadelphia chromosome abnormality were the control cohort (group 2). In group1; the median age was 57 years, BMI 27.7, hemoglobin 12.2 g/dL, white blood cell count (WBC) 32.8 x109/L, platelet 270 x109/L, and peripheral blood blasts 1%. Sokal risk was low in 30%, intermediate in 65% and high in 5% of pts. Nine pts (45%) were treated with interferon (IFN) prior to TKI. In group 2; the median age was 54 years, hemoglobin 12 g/dL, WBC 57 x109/L, and platelet 282 x109/L. Sokal risk was low in 37%, intermediate in 47%, and high in 16%. 46 of 142 patients (32%) had received previous interferon therapy. All patients in both groups had chronic phase CML at the time of diagnosis, with a median bone marrow cellularity of 95%. In group 1, 14 of 20 pts (70%) received imatinib, all of whom achieved a complete hematological response (CHR), 7 of 14 pts (50%) had partial cytogenetic response, 2 of 14 pts (14%) achieved a complete cytogenic response (CCyR);1 (7%) pt achieved CCyR within 12 months and an additional 1 (7%) by 18 months). Two pts of 12 (16%) achieved at least a major molecular response (MMR); one of whom (8%) achieved a complete molecular response (CMR). In comparison, 107of 142 pts (75%) in group 2 received imatinib, all of whom achieved CHR. Twenty-one pts (20%) achieved partial cytogenetic remission. CCyR was more frequently achieved than group 1 (48/107 pts (45%), p 0.026); 24 pts (22%) achieved CCyR within 12 months of therapy and an additional 10 pts by 18-months. MMR and/or CMR was higher in group 2 compared to group 1 (34 /101 (34%), p 0.18); 16 (16%) of which were CMR. In group 1; 6 (30%) pts had disease progression; 4 of 20 pts (20%) progressed to blast phase (BP) and 2 pts (10%) progressed to AP, compared to 32 (22%) pts in group 2 (p 0.17); 22 (15%) of whom progressed to BP and 10 (7%) patients progressed to AP. Median overall survival was 110 months in group 1 compared to 155 months in group 2 (log rank p=0.48). On multivariate analysis, CCyR was an independent factor for a better OS (p 0.03), but not –Y (p 0.7). Conclusion: Loss of the Y chromosome in chronic myelogenous leukemia is an infrequent phenomenon (12%). Although patients with –Y had a statistically significant less chance to achieve CCyR, loss of the Y chromosome did not affect the progression rate or overall survival. Larger scale studies are needed to confirm our observations Disclosures: No relevant conflicts of interest to declare.

Outcome of Acute Myeloid Leukemia AML &High Risk MDS Treated According to the Standard of Care in Community Hospital, Data From Single Center ( 2001–2010)

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 4796-4796
Author(s):  
Ali Al-Ameri ◽  
Mohamed Abdelfatah ◽  
Zeyad Kanaan ◽  
Nairmeen Haller
Keyword(s):  
Overall Survival ◽  
High Risk ◽  
Myeloid Leukemia ◽  
Private Insurance ◽  
Standard Of Care ◽  
P Value ◽  
Intermediate Risk ◽  
Bone Marrow Fibrosis ◽  
Marrow Fibrosis ◽  
Acute Myeloid

Abstract Abstract 4796 Background: Acute myeloid leukemia (AML) is the most common type of acute leukemia in adults causing the highest number of annual deaths secondary to leukemias in the United States. Age, cytogenetics, molecular features are the most important factors in the prognosis, whereby increased age and monosomal karyotypes carry the worst prognosis. The most favorable cytogenetics are patients with normal karyotypes, who can receive standard therapy. Aim: Study the overall survival (OS) of AML/High risk MDS treated according to standard of care at a community teaching hospital. Methods: A retrospective study of AML & High risk MDS patients treated at AGMC, Akron, Ohio USA, during 2002–2010. After IRB approval, we reviewed patient demographics, diagnosis types/subtypes, treatment, and cytogenetics. Patients were classified as low-intermediate risk or high risk according to cytogenetics background using WHO criteria. We also classified patients according to presence of bone marrow fibrosis and health insurance coverage at the time of diagnosis. Overall survival (OS) rates were determined by Kaplan-Meier Survival Analysis. Prognostic factors were evaluated by Log Rank analysis. Results: We were able to classify 98 (75%) pts, with 52 (53%) pts as high risk and 46 (47%) pts as low-intermediate risk. Median age was 55 years (range: 19–90), 43 (45%) pts were older than 75 years. AML pts made up 71%, 45 patients (35%) had complex cytogenetics, and 15% had AML arise from MDS. Median survival overall was 22.4 weeks; 14.4 weeks for high risk and 53.8 weeks for low risk (p<0.01). Median survival for pts greater than 75 years was 11.5 weeks compared to 35.8 weeks for those younger than 75 years (p<0.05). We classified 103 pts according to insurance; 29 pts had private insurance and 74 pts had medicare/Medicaid. Cox regression analysis was performed to examine for the net effect of each of age, insurance, and fibrosis status after controlling for the effect of other variables in the model. Data showed that survival is inversely related to age at diagnosis (p value=.01) while the variables fibrosis status, medicaid/uninsured, and private insurance did not contribute significantly to the model (p value=.97 and.14.34, respectively). Conclusions: No significant differences in OS regarding insurance status or presence of bone marrow fibrosis. This was likely because the majority of pts received standard of care therapy and overall survival, in general, was low in the study population. OS was lowest in high risk patients and those greater than 75 years, and was better in low risk pts and those younger than 75 years respectively. Early referral to a specialized center, or possible clinical trial enrollment may be an alternative way to approach those pts. Disclosures: No relevant conflicts of interest to declare.

Impact of insurance status on survival in neuroendocrine tumors: A multi-institutional Study from the U.S. Neuroendocrine Study Group.

2018 ◽  
Vol 36 (4_suppl) ◽  
pp. 371-371
Author(s):  
Paula Marincola Smith ◽  
Alexandra G Lopez-Aguiar ◽  
Mary Dillhoff ◽  
Eliza W Beal ◽  
George A. Poultsides ◽  
...  
Keyword(s):  
Overall Survival ◽  
Surgical Resection ◽  
Neuroendocrine Tumors ◽  
Private Insurance ◽  
The United States ◽  
Study Group ◽  
Insurance Status ◽  
Insured Patients ◽  
The Impact ◽  
The U.S

371 Background: Insurance status predicts access to medical care in the United States. Previous studies show uninsured and government insured patients have worse outcomes than those with private insurance. However, the impact of insurance status on survival in patients with Gastrointestinal Neuroendocrine Tumors (GI-NETs) is unclear. We evaluate the association between insurance status and survival in patients with GI-NETs. Methods: Our analysis includes 2022 patients who had surgical resection of GI-NETs at 8 institutions in the U.S. Neuroendocrine Study Group. Patients were categorized based on insurance as private (PI), government (GovI) or uninsured (UI). Factors associated with insurance status were assessed by uni- and multi-variate analysis. Primary endpoint was overall survival. Results: Patient demographics between the insurance categories were similar in ECOG performance status and tumor size at presentation. GovI patients had a higher median age than PI or UI (66 vs. 54 vs. 56 years respectively; p<0.01). Uninsured patients were more likely African American (21.5%) or Latino (5%) compared to PI (11.5%, 2%) or GovI (15%, 2%) (p<0.01). The UI group had a higher proportion of patients who underwent no surveillance imaging post-operatively (39%) compared to PI (26%) and GovI patients (26%) but this was not statistically significant (p=0.15). There was no difference in operative intent (curative vs. palliative) between groups (p=0.2). Five-year overall survival was 86% for PI, 82% for GovI, and 73% for UI patients (p<0.01). On multivariate regression analysis, being uninsured was independently associated with reduced survival when controlling for ASA Class, ECOG, race, tumor location, neoadjuvant and adjuvant chemotherapy, Somatostatin analog, or radiation therapy (HR 1.39, p = 0.012). Conclusions: This is the first systematic analysis of insurance status’s association with overall survival in GI-NET patients. Our analysis shows uninsured or government insured patients have shortened survival compared to the privately insured. The disparity is likely underrepresented in this study, as we examined only patients who underwent surgical resection.

Abstract WMP93: Uninsured Patients have Longer Hospital Stays and are Less Likely to Receive Rehab than Insured Patients

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Daniel Korya ◽  
Kendra Drake ◽  
Bruce Coull
Keyword(s):  
Social Services ◽  
Private Insurance ◽  
Functional Independence ◽  
University Hospital ◽  
Insurance Status ◽  
Uninsured Patients ◽  
The Us ◽  
The Mean ◽  
Insured Patients

Background: In 2010 the estimated direct and indirect cost of stroke was $53.9 billion. The long-term burden to society is thought to be much more costly. Whether or not this sum can be reduced has been a subject of great debate. Recently, healthcare reform has been a priority for policy makers with health insurance as a prevailing issue. We examined the healthcare records of patients in the US who presented with stroke symptoms in a 10-year period from 2001-2011, and compared them to patients in the state of Arizona as well as our University Hospital in the same time period. We then looked for differences in the cost of stroke with regard to variations in insurance status. Methods: The records of 978,813 patients with stroke symptoms in the US from January 2001 through December 2011 were compared with 18,875 Arizona (AZ) patients. This data was evaluated and compared with data obtained from the records of 1,123 patients admitted to the University Medical Center (UMC), and separated by insurance status, discharge location and length of stay (LOS) for different stroke subtypes. The information was gathered from the get with the guidelines stroke database and only included hospitals that reported their information. Results: The mean LOS for stroke patients in the US, AZ and UMC were: 5.25 days, 4.69 and 4.75 days, respectively. When separated by insurance status, the mean LOS for patients at UMC with Medicare was 4.27 days (n=470), for Medicaid it was 6.17 days (n=150) and 5.13 days (n=464) for private insurance. Compared with insured patients, uninsured patients had a LOS of 8.18 days (n=39; p=.001). Uninsured patients were discharged home without rehab 24.4% of the time compared with only 8.8% of insured patients (p=.001), even though 93.5% of uninsured patients were considered for rehab. Conclusion: Uninsured patients had a LOS that was 3.3 days longer than insured patients and had an estimated 72% higher cost of hospitalization. Uninsured patients were almost 3 times less likely than insured patients to be discharged with rehab, and consequently were less likely to achieve long-term functional independence. Ultimately, the price of stroke in the uninsured is paid for by taxpayers, since these patients will require social services granted by the government for disability.

scholarly journals Impact of Insurance Coverage on Outcomes in Primary Breast Sarcoma

Sarcoma ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Julie L. Koenig ◽  
C. Jillian Tsai ◽  
Katherine Sborov ◽  
Kathleen C. Horst ◽  
Erqi L. Pollom
Keyword(s):  
Overall Survival ◽  
Private Insurance ◽  
Insurance Coverage ◽  
Disease Stage ◽  
Insurance Status ◽  
Rare Cancer ◽  
Breast Sarcoma ◽  
Specialized Care ◽  
Insured Patients ◽  
Privately Insured

Private insurance is associated with better outcomes in multiple common cancers. We hypothesized that insurance status would significantly impact outcomes in primary breast sarcoma (PBS) due to the additional challenges of diagnosing and coordinating specialized care for a rare cancer. Using the National Cancer Database, we identified adult females diagnosed with PBS between 2004 and 2013. The influence of insurance status on overall survival (OS) was evaluated using the Kaplan–Meier estimator with log-rank tests and Cox proportional hazard models. Among a cohort of 607 patients, 67 (11.0%) had Medicaid, 217 (35.7%) had Medicare, and 323 (53.2%) had private insurance. Compared to privately insured patients, Medicaid patients were more likely to present with larger tumors and have their first surgical procedure further after diagnosis. Treatment was similar between patients with comparable disease stage. In multivariate analysis, Medicaid (hazard ratio (HR), 2.47; 95% confidence interval (CI), 1.62–3.77; p<0.001) and Medicare (HR, 1.68; 95% CI, 1.10–2.57; p=0.017) were independently associated with worse OS. Medicaid insurance coverage negatively impacted survival compared to private insurance more in breast sarcoma than in breast carcinoma (interaction p<0.001). In conclusion, patients with Medicaid insurance present with later stage disease and have worse overall survival than privately insured patients with PBS. Worse outcomes for Medicaid patients are exacerbated in this rare cancer.

scholarly journals Insurance Status Is Related to Receipt of Therapy and Survival in Patients with Early-Stage Pancreatic Exocrine Carcinoma

2017 ◽  
Vol 2017 ◽  
pp. 1-5 ◽  
Author(s):  
Emily Boevers ◽  
Bradley D. McDowell ◽  
Sarah L. Mott ◽  
Anna M. Button ◽  
Charles F. Lynch
Keyword(s):  
Overall Survival ◽  
Early Stage ◽  
Personal Characteristics ◽  
Insurance Status ◽  
Uninsured Patients ◽  
Study Objective ◽  
Risk Of Death ◽  
Seer Data ◽  
Pancreatic Exocrine ◽  
Insured Patients

Objectives. The study objective was to determine how insurance status relates to treatment receipt and overall survival for patients with early-stage pancreatic exocrine carcinoma. Methods. SEER data were evaluated for 17,234 patients diagnosed with Stage I/II pancreatic exocrine carcinoma. Multivariate regression models controlled for personal characteristics to determine whether insurance status was independently associated with overall survival and receipt of radiation/surgery. Results. Odds of receiving radiation were 1.50 and 1.75 times higher for insured patients compared to Medicaid and uninsured patients, respectively (p<0.01). Insured patients had 1.68 and 1.57 times increased odds of receiving surgery compared to Medicaid and uninsured patients (p<0.01). Risk of death was 1.33 times greater (p<0.01) in Medicaid patients compared to insured patients; when further adjusted for treatment, the risk of death was attenuated but remained significant (HR = 1.16, p<0.01). Risk of death was 1.16 times higher for uninsured patients compared to insured patients (p=0.02); when further adjusted for treatment, the risk of death was no longer significant (HR = 1.01, p=0.83). Conclusions. Uninsured and Medicaid-insured patients experience lower treatment rates compared to patients who have other insurances. The increased likelihood of treatment appears to explain the insured group’s survival advantage.

scholarly journals Acute Myeloid Leukemia with Myelodisplasia-Related Changes (AML-MRC) Defined Only By Morphological Findings May Not Represent a Poor Prognosis AML

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2612-2612
Author(s):  
Ana Pérez ◽  
Olga Salamero ◽  
Helena Pomares ◽  
Maria Julia Montoro ◽  
Montserrat Arnan Sangerman ◽  
...  
Keyword(s):  
Overall Survival ◽  
Board Of Directors ◽  
Myeloid Leukemia ◽  
Research Funding ◽  
Poor Prognosis ◽  
Advisory Committees ◽  
Group 3 ◽  
Group 2 ◽  
Acute Myeloid ◽  
Group 1

According to the 2016 WHO classification, AML-MRC encompasses an heterogeneous group of acute myeloid leukemias (AML) comprising: AML emerged from a previous myelodysplastic syndrome (MDS) or myeloproliferative /myelodysplastic disease (group 1), AML with MDS-defining cytogenetic abnormalities (group 2), or acute myeloid leukemia (AML) with dysplasia in at least 2 cell lineages without the above mentioned (group 3). In spite that AML-MRC has been considered a high-risk entity with poor prognosis, little is known on the relationship of clinical and biological characteristics with outcomes in these three groups. The aim of this study was to describe the clinical and biological characteristics of patients with AML-MRC and analyze their prognostic variables and outcomes. We retrospectively analyzed AML-MRC cases diagnosed between January-2009 and December- 2018 in two institutions. Descriptive variables were studied to compare the three AML-MRC groups. AML cytogenetic risk and response were defined according to the European Leukemia Net recommendations. Overall survival (OS) was considered as the time from the diagnosis to the last visit. Survival analysis were performed with Kaplan Meier method and comparisons with the log-rank test. Among 575 cases of AML identified, 186 (32.3%) met AML-MRC criteria and were included in the study. The main patient characteristics are shown in Table1. Median age was 72 (range, 22-88) years and 32% were female. Adverse karyotype was present in 29% of patients, being more prevalent in the AML-MRC group 2. Sixty one patients (33%) received an intensive chemotherapy approach and 36 (19%) an allogeneic stem cell transplantation. Patients in group 3 exhibit a higher probability of achieving a complete response than groups 1 and 2 (Table 2). After a median follow-up for survivors of 28.5 months (range, 5-130), 149 (80%) died in this period. Three years Overall Survival (OS) for patients in groups 1, 2 and 3 was 3 (0-117), 5 (0-93) and 10 (0-130) months, respectively (p=0.012) (Figure 1). Type of treatment (intensive, non intensive or best supportive care) and cytogenetic risk also showed impact on OS. Multivariant analysis adjusting these factors showed that patients in group 3 also presented better OS than patients in group 1 (HR=0,42 [IC95% 0,18-0,84], p=0,02), both with around a 30% of patients with adverse cytogenetics. To conclude the present study suggests that group 3 of AML-MRC, for which the diagnosis is based solely on morphologic findings, showed better prognosis than the other groups. A more detailed molecular characterization might contribute to improve prognostic stratification of this heterogeneous AML entity, particularly in patients with non-high risk cytogenetics. Disclosures Salamero: Pfizer: Honoraria; Daichii Sankyo: Honoraria; Celgene: Honoraria; Novartis: Honoraria. Valcárcel:Jazz Pharmaceuticals: Honoraria; Novartis: Consultancy, Honoraria, Speakers Bureau; Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Other: spouse is an employee in the company, Speakers Bureau; Pfizer: Honoraria. Bosch:AstraZeneca: Honoraria, Research Funding; Acerta: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Honoraria, Research Funding; F. Hoffmann-La Roche Ltd/Genentech, Inc.: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Takeda: Honoraria, Research Funding; Kyte: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau.

Early ICU Admission Of Newly Diagnosed Acute Myeloid Leukemia With No Organ Failure

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 3896-3896
Author(s):  
Elodie Elkaim ◽  
Djamel Mokart ◽  
Norbert Vey ◽  
Aude Charbonnier ◽  
Evelyne D’Incan ◽  
...  
Keyword(s):  
Overall Survival ◽  
Organ Failure ◽  
Myeloid Leukemia ◽  
Control Group ◽  
Newly Diagnosed ◽  
Initial Management ◽  
Failure Group ◽  
Group 2 ◽  
Acute Myeloid ◽  
Group 1

Abstract Background and Aim Acute myeloid leukemia (AML) at diagnosis can be an emergency. Induction mortality reaches 5 to 15% for patients under 60 years of age, and 15 to 30% for subjects over 60. 10 to 34% of patients will require a shift to intensive care unit (ICU) during induction and most of organ failures occur in the first few days. To optimize and improve the initial management of AML, we selected patients with high risk of induction mortality based on white blood cell count (WBC) ≥ 50 G/l and thrombocytopenia ≤ 50G/l at diagnosis. These patients were systematically admitted into ICU even without organ failure. Patients and Methods Our study was conducted in two hospitals, between 1st January 2000 and 31thDecember 2010. We included patients with newly diagnosed AML, aged 18 to 75 years, with both WBC ≥ 50G/l and platelets ≤ 50G/l, and no organ failure (group 1). 41 patients transferred to ICU based on conventional criteria (organ failure) during this period were not included in the study. Patients were directly admitted in ICU for diagnosis and treatment of AML(induction chemotherapy), and were jointly managed by both the intensivist and the hematologist. Patients were discharged from ICU without any non-hematological organ failure. Results were compared to a control group of similar patients admitted in another university hospital were high-risk patients are managed conventionnaly (ie no systematic ICU transfer in the absence of organ failure) (group 2). We defined organ failure by the requirement of mechanical ventilation for respiratory deficiency, renal remplacement therapy for renal failure, vaso-active drugs for hemodynamic and heart failure and when glasgow score was<7 for neurological failure. Results 130 patients were included, 50 patients in group 1 and 79 patients in group 2. Neither age at diagnosis and AML characteristics differed significantly between the two groups, nor complete remission rate(80% versus 70,5%) and relapse rate(55% versus 49%). 18 patients (36%) presented organ failure in group 1, 9 (11%) in group 2. The median time between induction and organ failure was 1 day(1-6) in group 1 and 3 days (1-24) in group 2. The main organ failure was acute respiratory failure, with 10 patients (56%) who needed invasive mechanical ventilation in group 1 and 8 (89%) in group 2. In group 1, renal replacement therapy and vaso-active drugs was used in 4 (22%) and 6 (33%) patients, respectively, versus 3 (33%) and 7 patients (78%), respectively, in group 2. The median length of stay in ICU was 5 days in patients without organ failure in group 1 (2-18), 11,5 days in patients with organ failure in group 1 (4-45), and 6 days in group 2 (1-37). Overall survival was not significantly different between the two groups (p 0.28). Six patients (12%) died in the group 1 at day 30 of induction chemotherapy, 14 patients (18%) in the group 2. Concerning patients who developed organ failure, the 30 days survival was significantly better in patients already monitored in ICU (group 1), 67 %, versus 22% in group 2 (p=0.02). The overall survival of patients of group 1 who had presented organ failure but alive after their ICU stay, was not statistically different compared to patients of group 1 without organ failure during induction (median 8 months versus 16 months, p 0,09). Conclusion There were more critical patients in the study group, but their 30 days survival was significantly better than in patients with organ failure in the control group. However, overall survival of the two groups was comparable. This study highlights a new strategy to improve initial management of AML. The rapid onset of complications (<3 days in more than 90%) allows considering short stays in ICU for patients who will not presented organ failure in the first 3 days of induction. The main limiting factor for this management is its applicability. These results have to be confirmed by a multicentric comparative study. Disclosures: No relevant conflicts of interest to declare.

Insurance status and survival in diffuse large B-cell lymphoma: A National Cancer Database study before and after the Affordable Care Act.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 6539-6539
Author(s):  
Antoine N Saliba ◽  
Xavier Andrade-Gonzalez ◽  
Paul Joseph Hampel ◽  
Jithma P. Abeykoon ◽  
Allison Bock ◽  
...  
Keyword(s):  
Affordable Care Act ◽  
Cell Lymphoma ◽  
Private Insurance ◽  
B Cell Lymphoma ◽  
Insurance Status ◽  
Newly Diagnosed ◽  
Uninsured Patients ◽  
Large B Cell Lymphoma ◽  
Before And After ◽  
Insured Patients

6539 Background: The impact of insurance status on survival in diffuse large B‐cell lymphoma (DLBCL), the most common aggressive lymphoma, has not been evaluated after the implementation of the Affordable Care Act (ACA). The aim of this study is to compare overall survival (OS) in patients across insurance status groups and in the periods before and after the ACA. Methods: Adult patients with newly diagnosed DLBCL were identified from the National Cancer Database. The analysis was restricted to patients 64 years of age or younger as most patients 65 years or older are eligible for Medicare under the ACA. The 2004-2017 period was chosen to represent the immunochemotherapy era preceding and following the ACA. Logistic regression was used to explore associations between abstracted variables and insurance status groups. The Kaplan-Meier method and Cox proportional hazards model were used for survival analysis. Results: 93,692 adults (age < 64 years) with newly diagnosed DLBCL and known insurance status were identified (41.3% female, median age 54 years [range: 18 – 64], 81.8% White and 12.1% Black). 7,211 (7.7%) patients were uninsured, 64,744 (69.1%) had private insurance, 11,936 (12.7%) had Medicaid, and 9,801 (10.5%) had Medicare. When compared to insured patients (private insurance, Medicaid or Medicare), uninsured patients were more likely to have a median household outcome of < $38,000 [OR 1.93 (95% CI 1.79-2.07)], less likely to receive chemotherapy [OR 0.69 (0.64-0.77)], more likely to be male [OR 1.14 (1.07-1.21)], more likely to be non-White [OR 1.30 (1.20-1.40], and more likely to present with stage III or IV disease [OR 1.24 (1.16-1.32)]. Uninsured patients had an inferior OS [HR 1.21 (95% CI 1.15-1.27)] when compared to insured patients after adjustment for baseline comorbidity (Charlson-Deyo score ≥2), advanced stage, treatment with chemotherapy, and sociodemographic factors including sex, age, race, household income, facility type (academic/community), and location (urban/rural). With a median follow-up time of 14.8 years (95% CI 14.6-not reached), median OS was lower in uninsured patients [13.4 years (12.3-not reached) vs 14.8 years (14.7-not reached); p < 0.0001]. Despite the lack of major changes in DLBCL therapies, a diagnosis after the implementation of the ACA (in 2010 or later) was associated with a superior OS when compared with the outcomes of patients diagnosed in 2010 or earlier [HR 0.93 (95% CI 0.90-0.95)]. Similarly, five-year OS was superior in the insured group [HR 0.93 (95% CI 0.89-0.96)]. Conclusions: Uninsured patients with DLBCL and < 64 years old had inferior OS when compared with insured patients, and uninsured status emerged as an independent risk factor for inferior OS. Our data highlight the independent effect of insurance disparities - a potential indicator of variations in access to health care - on survival in DLBCL.

Effect of race and insurance status on stage at diagnosis and overall survival of triple-negative breast cancer (TNBC): Analysis of the National Cancer Data Base (NCDB).

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e19086-e19086
Author(s):  
Rafiullah Khan ◽  
Inas Abuali ◽  
Eric J. Vick ◽  
Luke Smart ◽  
Changchun Xie ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Insurance Coverage ◽  
Age At Diagnosis ◽  
Insurance Status ◽  
Stage At Diagnosis ◽  
Uninsured Patients ◽  
Black Patients ◽  
Stage 4 ◽  
Insured Patients

e19086 Background: TNBC is a heterogeneous sub-type of breast cancer characterized by younger age of onset, more aggressive course, and higher incidence among African Americans who also experience disparities in access to health care including health insurance coverage and cancer screening. Methods: We performed a retrospective analysis of the NCDB to study the impact of race and insurance status on the stage at diagnosis and overall survival of people with TNBC. Chi-square tests analysis was used for univariate analysis. Cox models were used to test for survival differences between race and insurance status adjusted for other covariates such as age at diagnosis, gender. Results: Among 1,148,016 people with TNBC registered in the NCDB from 2010 to 2016, 87.7% were identified as white and 12.3% were identified as black. The majority (99%) were female. Mean age at diagnosis was 62.0 years for females and 65.9 years for males. Among white patients, 1.8% were uninsured while 3.6% of black patients were uninsured. Advanced stage at diagnosis was less common among white people (9.4%, Stage 3; 4.9%, Stage 4) than black people (13.3%, Stage 3; 7.6%, Stage 4). Uninsured patients had more advanced disease at time of diagnosis (16.2%, Stage 3; 14.1%, Stage 4) than insured patients (9.8%, Stage 3; 5.0%, Stage 4). Overall survival after adjustment for age at diagnosis, gender and insurance status was greater for white patients compared to black patients (harm ratio 0.60). Overall survival after adjustment for age at diagnosis, gender and race was lower for uninsured patients than insured patients (harm ratio 2.25). Conclusions: Racial disparities significantly affect TNBC patients, with black women having lower insurance coverage and worse overall survival. [Table: see text]

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