Multiple Myeloma Vaccination Patterns from a Large Health System: An Example of Cancer Care Delivery Research (CCDR)

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 5677-5677
Author(s):  
Andinet W Alemu ◽  
John O Richards ◽  
Maharaj Singh ◽  
Jenna K Mandler ◽  
Martin K Oaks ◽  
...  
Keyword(s):  
Health Care ◽  
Multiple Myeloma ◽  
Immune System ◽  
Cancer Care ◽  
Conflicts Of Interest ◽  
Care Delivery ◽  
Initial Step ◽  
Vaccination Status ◽  
Average Charge ◽  
Significant Difference

Abstract Background We have a poor understanding of the vaccination immune response and outcomes in multiple myeloma (MM). As MM patients (Pts) are living longer and therapies are immunomodulatory there is an unmet medical need to further characterize the role of the immune system. A common reason for hospitalization or death in MM Pts is infection. As an initial step in MM Cancer Care Delivery Research (CCDR), we evaluated the current vaccination practice patterns in MM Pts at Aurora Health Care using the EMR and data analytics. Methods An IRB approved study reviewed MM Pts from 5/15/2012 to 5/15/2014. Data collected included demographics, influenza (FV) and pneumonia vaccination (PV) history, hospitalization episodes, cost associated with hospitalization, and admission and discharge diagnoses. Pts were considered PV positive if vaccinated within 5 years prior to study with any PV type. FV was none (no FV in 2012-2014), optimal [FV in 2012 and (2013 or 2014)], or suboptimal [FV in 2012 or (2013 or 2014)]. Data was analyzed using SAS and STATA 12. Results A total of 1131 MM Pts were identified. Race included 70% white, 13% black, and 17% mixed, other or information not available. MM median age at diagnosis was 71 and only 4% (47) had prior autologous stem cell transplantation. PV rate was 30%. FV was 55% none, 24% suboptimal and 20% optimal. There was no statistically significant difference in the rate of PV and FV when stratified vs age, gender, and race. Over two years there were a total of 662 hospitalization events involving 317 MM Pts. The total cost of hospitalization was approx $35M. The average charge per hospitalized patient was $110K (range: $2K -1.3M) with an average $52K per hospitalization encounter (range: 2K – 648K). The rate of PV and FV vaccination among Pts with index hospitalization is significantly higher than non-hospitalized patients. There was no difference in hospitalization cost based on vaccination status. (See Table 1) Discussion Vaccination rates were low and did not correlate with hospital outcomes. This may be explained as a limitation for a retrospective EMR analysis without accounting for temporal relationship of vaccines – i.e. possible vaccination after admission. Alternatively, this may indicate that our current methods of vaccination in MM are not effective. Other limitations include need for a more granular review of treatment regimens and infectious complications. Additional surrogate markers are needed to understand the effect of vaccines and the immune system on health care outcomes such as hospitalizations, cost, and survival. This will be addressed in prospective registries and immunologic studies at our center and may be queried at other health systems. Table 1 – Vaccination Status and Hospitalizations Vaccination Status % Hospitalization Events, % Hospitalization Charge, $ PV – No 70% 20% $16M PV – Yes 30% 52% $18M FV – None 55% 16% $9M FV – Suboptimal 24% 42% $13M FV - Optimal 20% 43% $12M Disclosures No relevant conflicts of interest to declare.

Evolving oncology provider perspectives on care delivery during the COVID-19 pandemic.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18609-e18609
Author(s):  
Divya Ahuja Parikh ◽  
Meera Vimala Ragavan ◽  
Sandy Srinivas ◽  
Sarah Garrigues ◽  
Eben Lloyd Rosenthal ◽  
...  
Keyword(s):  
Cancer Care ◽  
Care Delivery ◽  
The United States ◽  
Advanced Practice ◽  
Curative Surgery ◽  
Time Points ◽  
Patients With Cancer ◽  
Provider Perspectives ◽  
Significant Difference ◽  
The Impact

e18609 Background: The COVID-19 pandemic prompted rapid changes in cancer care delivery. We sought to examine oncology provider perspectives on clinical decisions and care delivery during the pandemic and to compare provider views early versus late in the pandemic. Methods: We invited oncology providers, including attendings, trainees and advanced practice providers, to complete a cross-sectional online survey using a variety of outreach methods including social media (Twitter), email contacts, word of mouth and provider list-serves. We surveyed providers at two time points during the pandemic when the number of COVID-19 cases was rising in the United States, early (March 2020) and late (January 2021). The survey responses were analyzed using descriptive statistics and Chi-squared tests to evaluate differences in early versus late provider responses. Results: A total of 132 providers completed the survey and most were white (n = 73/132, 55%) and younger than 49 years (n = 88/132, 67%). Respondents were attendings in medical, surgical or radiation oncology (n = 61/132, 46%), advanced practice providers (n = 48/132, 36%) and oncology fellows (n = 16/132, 12%) who predominantly practiced in an academic medical center (n = 120/132, 91%). The majority of providers agreed patients with cancer are at higher risk than other patients to be affected by COVID-19 (n = 121/132, 92%). However, there was a significant difference in the proportion of early versus late providers who thought delays in cancer care were needed. Early in the pandemic, providers were more likely to recommend delays in curative surgery or radiation for early-stage cancer (p < 0.001), delays in adjuvant chemotherapy after curative surgery (p = 0.002), or delays in surveillance imaging for metastatic cancer (p < 0.001). The majority of providers early in the pandemic responded that “reducing risk of a complication from a COVID-19 infection to patients with cancer” was the primary reason for recommending delays in care (n = 52/76, 68%). Late in the pandemic, however, providers were more likely to agree that “any practice change would have a negative impact on patient outcomes” (p = 0.003). At both time points, the majority of providers agreed with the need for other care delivery changes, including screening patients for infectious symptoms (n = 128/132, 98%) and the use of telemedicine (n = 114/132, 86%) during the pandemic. Conclusions: We found significant differences in provider perspectives of delays in cancer care early versus late in the pandemic which reflects the swiftly evolving oncology practice during the COVID-19 pandemic. Future studies are needed to determine the impact of changes in treatment and care delivery on outcomes for patients with cancer.

scholarly journals Cultural Awareness and Sensitivity of Students in a Physical Therapy Program – A Pilot Survey

2018 ◽  
Author(s):  
Olaide Oluwole-Sangoseni ◽  
Michelle Jenkins-Unterberg
Keyword(s):  
Health Care ◽  
Physical Therapy ◽  
Cultural Sensitivity ◽  
Health Care Professionals ◽  
Cultural Awareness ◽  
Health Care Disparities ◽  
Care Delivery ◽  
The United States ◽  
Cross Sectional Survey ◽  
Significant Difference

Background: Attempts to address health and health care disparities in the United States have led to a renewed focus on the training of healthcare professionals including physical therapists. Current health care policies emphasize culturally competent care as a means of promoting equity in care delivery by health care professionals. Experts agree that cultural insensitivity has a negative association with health professionals’ ability to provide quality care. Objective: To evaluate the cultural awareness and sensitivity of physical therapy (PT) students in a didactic curriculum aimed to increase cultural awareness. Methods: Using the Multicultural Sensitivity Scale (MSS), a cross-sectional survey was conducted to assess cultural sensitivity among three groups of students, (N = 139) from a doctor of physical therapy (DPT) program at a liberal arts university in Saint Louis, MO. Results: Response rate was 76.3%. Participants (n=100) were students in first (DPT1, n=36), third (DPT3, n=36), and sixth (DPT6, n=28) year of the program. Mean ranked MSS score was DPT1 = 45.53, DPT3 = 46.60 DPT6 = 61.91. Kruskal-Wallis analysis of the mean ranked scores showed a significant difference among three groups, H = 6.05 (2, N=100), p ≤ .05. Discussion: Students who have completed the cultural awareness curriculum, and undergone clinical experiences rated themselves higher on the cultural sensitivity/awareness. Results provide initial evidence that experiential learning opportunities may help PT students to more effectively integrate knowledge from classroom activities designed to facilitate cultural competence.

scholarly journals Incidence of COVID-19 infection amongst the high risk versus low risk health care workers: an audit from a tertiary cancer care centre

2021 ◽  
Vol 8 (7) ◽  
pp. 3474
Author(s):  
Nitin Shetty ◽  
Nivedita Chakrabarty ◽  
Amit Joshi ◽  
Amar Patil ◽  
Suyash Kulkarni ◽  
...  
Keyword(s):  
Health Care ◽  
High Risk ◽  
Health Care Workers ◽  
Cancer Care ◽  
Low Risk ◽  
Care Centre ◽  
Protective Measures ◽  
Care Workers ◽  
Significant Difference ◽  
Treatment Research

Background: Theoretically, health care workers (HCW) are at increased risk of getting infected with COVID-19 compared to the general population. Limited data exists regarding the actual incidence of COVID-19 infection amongst the high risk and low risk HCW of the same hospital. We present an audit from our tertiary cancer care centre comparing the COVID-19 infection rate between the high risk and low risk HCW, all of whom had been provided with adequate protective measures and health education.Methods: This is a retrospective observational study from 01 April 2020 to 30 September 2020, in which all the 970 HCW of Advanced Centre for Treatment, Research and Education in Cancer were divided into high risk and low risk groups. High risk HCW included all the medical and non-medical staff directly involved with the care of COVID-19 patients, and rest were low risk HCW. Adequate protective measures and classes for infection prevention were provided to all the HCW. We calculated the incidence of COVID-19 infection in both these groups based on the positive real time-polymerase chain reaction (RT-PCR) result and also looked for any significant difference in incidence between these two groups.Results: The incidence of COVID-19 infection amongst the high risk HCW was 13% and that of low risk HCW was 14%.Conclusions: We found no significant difference in COVID-19 infection between the high risk and low risk HCW. Thus, along with protective measures, behavior modifications induced by working in high risk areas, prevented the high risk HCW from getting increased COVID-19 infection compared to the low risk HCW.

Financial Toxicity of Cancer Care: An Analysis of Financial Burden in Three Distinct Health Care Systems

2021 ◽  
pp. OP.20.00890
Author(s):  
Divya A. Parikh ◽  
Meera Ragavan ◽  
Ritika Dutta ◽  
Jeffrey Garnet Edwards ◽  
James Dickerson ◽  
...  
Keyword(s):  
Health Care ◽  
Cancer Care ◽  
Care Delivery ◽  
Medical Center ◽  
Financial Burden ◽  
Financial Toxicity ◽  
Cross Sectional Survey ◽  
Factors Associated ◽  
Care Systems ◽  
Comprehensive Score

PURPOSE: The financial toxicity of cancer care is a source of significant distress for patients with cancer. The purpose of this study is to understand factors associated with financial toxicity in three distinct care systems. METHODS: We conducted a cross-sectional survey of patients in three care systems, Stanford Cancer Institute (SCI), VA Palo Alto Health Care System (VAPAHCS), and Santa Clara Valley Medical Center (SCVMC), from October 2017 to May 2019. We assessed demographic factors, employment status, and out-of-pocket costs (OOPCs) and administered the validated COmprehensive Score for financial Toxicity tool. We calculated descriptive statistics and conducted linear regression models to analyze factors associated with financial toxicity. RESULTS: Four hundred forty-four of 578 patients (77%) completed the entire COmprehensive Score for financial Toxicity tool and were included in the analysis. Most respondents at SCI were White, with annual household income (AHI) > $50,000 USD and Medicare insurance. At the VAPAHCS, most were White, with AHI ≤ $50,000 USD and insured by the Veterans Administration. At SCVMC, most were Asian and/or Pacific Islander, with AHI ≤ $25,000 USD and Medicaid insurance. Low AHI ( P < .0001), high OOPCs ( P = .003), and employment changes as a result of cancer diagnosis ( P < .0001) were associated with financial toxicity in the pooled analysis. There was variation in factors associated with financial toxicity by site, with employment changes significant at SCI, OOPCs at SCVMC, and no significant factors at the VAPAHCS. CONCLUSION: Low AHI, high OOPCs, and employment changes contribute to financial toxicity; however, there are variations based on site of care. Future studies should tailor financial toxicity interventions within care delivery systems.

Marketing Cancer Care to Rural Residents

1995 ◽  
Vol 14 (1) ◽  
pp. 76-82 ◽  
Author(s):  
Frank J. Franzak ◽  
Thomas J. Smith ◽  
Christopher E. Desch
Keyword(s):  
Health Care ◽  
Public Policy ◽  
General Population ◽  
Rural Health ◽  
Health Care Delivery ◽  
Rural Health Care ◽  
Cancer Care ◽  
Care Delivery ◽  
Complex Situation ◽  
Improving Health Care

The authors address two issues related to cancer care: (1) the rural population is more vulnerable to cancer than the general population and (2) proper care is often not available locally, and public policy efforts have hurt, more than helped, this situation. The authors examine the environment of rural health care to establish a better understanding of this complex situation and present a model for improving health care delivery based on an existing outreach alliance program and guided by interorganizational service delivery concepts. They also provide areas for further research that can guide public policy toward improving rural cancer delivery.

Lenalidomide IS Able to Restore Immune SYSTEM IN MULTIPLE MYELOMA PATIENTS.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 4909-4909 ◽  
Author(s):  
Annalisa Chiarenza ◽  
Nunziatina Parrinello ◽  
Piera La Cava ◽  
Eleonora Spina ◽  
Daniele Tibullo ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Immune System ◽  
T Cell ◽  
T Lymphocytes ◽  
Mononuclear Cells ◽  
Conflicts Of Interest ◽  
Gradient Centrifugation ◽  
Target Cells ◽  
First Line ◽  
Number Of Patients

Abstract Abstract 4909 LENALIDOMIDE IS ABLE TO RESTORE IMMUNE SYSTEM IN MULTIPLE MYELOMA PATIENTS Annalisa Chiarenza, Nunziatina Parrinello, Piera La Cava, Eleonora Spina, Daniele Tibullo, Cesarina Giallongo, Maide Cavalli, Alessandra Romano, Paolo Fiumara, Giuseppe A. Palumbo, Francesco Di Raimondo Background Multiple myeloma (MM) is a malignant plasma-cell proliferative disorder associated with dysfunctional T-cell responses. The immunomodulatory Thal derivative (IMiD) CC-5013 (lenalidomide) appears to be a promising agent for the treatment of myeloma. Although the exact antitumor mechanism of action of lenalidomide is unknown, a number of mechanisms are postulated to be responsible for it's activity (inhibition of angiogenesis, direct antiproliferative and proapoptotic effects on MM cells, suppression of pro-inflammatory cytokines, modulation of myeloma-stromal cells adhesive interactions). In addition, it has been demonstrated that lenalidomide in vitro is able to enhance T cell proliferation and to promotes ADCC. In this study we evaluated if MM patients have a deficit of T-reg (CD4+, CD25+, and FOXP3+) and of T lymphocytes bearing CD200 (a tolerogenic molecule) and the effect of lenalidomide treatment on these parameters. In addition, we investigated whether lenalidomide could improve ex vivo the ADCC against myeloma cells. Materials and methods Eight patients with previously untreated MM (median age 56 years) were treated with lenalidomide plus dexamethasone as first line therapy. Lenalidomide was given orally 25 mg daily on days 1 to 21 of a 28-day cycle. Dexamethasone was given orally 40 mg daily on days 1, 8, 15, 22 of each cycle. All patients were evaluable for response and toxicity. Peripheral blood mononuclear cells (PBMNc) were obtained from MM patients using density gradient centrifugation (Fycoll) under sterile condictions, at the beginning of treatment and after 4 cycles of therapy. The percentage of T-reg (CD4+CD25+FOXP3+) and the expression of CD200 on T- lymphocytes were evaluated by cytometry. Twelve healthy subjects were used as control. Moreover, PBMNc (effector cells, E) were incubated with MM cells line ARH-77 (target cells, T), previously labelled with CFDA,SE (carboxyfluorescein diacetate, succinimidyl ester) as a tracing fluorescent marker, in culture medium (RPMI-1640, 10%FCS, 1%penicillin/streptomycin) at different concentration (T/E ratio 1:20, 1:40). After 18-24 h co-colture cells were analyzed by flow cytometry and MM plasma cells cytotoxicity was calculated as the percentage of positive CFDA,SE/propidium cells. Myeloma cell viability was determined by tripan blue esclusion and apoptosis was also evaluated using Annexin V/propidium assay. Two MM patients treated in first line with a combination of Velcade, Thalidomide and Dexamethasone (VTD) were used as control and the experiments were performed in duplicate. Results MM patients have a significantly lower rate of CD4+/CD25+/FOXP3+ and CD200+/CD3+ than normal (28,3±14,9/mmc and 37,8±24,7 /mmc vs 79,3±27,8 and 79,5± 48,9)(p=0,0001 and p=0,01 respectively). In our study, lenalidomide treatment resulted in an increase both of Treg cells and T-lymphocytes espressing CD200. This improvement is not statistically significant probably due to the low number of patients examined (tab I). More important, we observed that PBMC derived from patients treated with lenalidomide showed an increase ability to kill a target MM cell line compared to PBMC collected at diagnosis (CFDA,SE/propidium cells 11% vs 68%). This effect was more prominent in patients treated with lenalidomide than in MM patients treated with VTD (CFDA,SE/propidium cells 12% vs 39%), Fig.1. Conclusions Our data emphasize the role of lenalidomide in modulating the endogenous tumor-specific immune response and underline the anti-myeloma activity of these new class of drugs. Disclosures No relevant conflicts of interest to declare.

TIMP-1 and TIMP-2 Levels Are Directly Correlated with Neoangiogenesis and Are Prognostic Factors in Multiple Myeloma Patients.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 4866-4866
Author(s):  
Luciana Correa Oliveira de Oliveira ◽  
Juliana Alves Uzuelli ◽  
Ana Paula Alencar de Lima Lange ◽  
Barbara Amelia Aparecida Santana-Lemos ◽  
Marcia Sueli Baggio ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Overall Survival ◽  
Prognostic Factors ◽  
Bone Disease ◽  
Cox Regression ◽  
Conflicts Of Interest ◽  
Newly Diagnosed ◽  
Significant Difference ◽  
The Impact

Abstract Abstract 4866 Background Multiple myeloma (MM) is an incurable malignant disease, characterized by increased angiogenesis in the bone marrow (BM) microenvironment and aberrant BM metabolism. Matrix metalloproteinases (MMP) are a family of zinc-dependent endopeptidases implicated in tumour progression, invasion, metastasis and angiogenesis, via proteolytic degradation of extracellular matrix. MMPs are inhibited by tissue inhibitors of metalloproteinase (TIMP). Although recent studies have implicated MMP 9 in MM bone disease, little is known about the role of the TIMPs. Objectives a) to compare levels of sRANKL, OPG, MMP-2, MMP-9, TIMP-1, TIMP-2, VEGF, bFGF, microvessel density (MVD) between newly diagnosed MM patients and healthy controls; b) to determine the association of these molecules with disease progression, bone disease and neoangiogenesis and c) to evaluate the impact of these variables on survival. Patients and Methods As of July 2009 38 newly diagnosed and untreated multiple myeloma patients were enrolled in the study. The median age was 61years-old (range 39-91) with 24 (63%) males. Patients were diagnosed and categorized according The International Myeloma Working Group criteria and ISS, respectively. Bone involvement was graded according to standard X-ray: patients with no lesions, or with one/ two bones involved or diffuse osteoporosis were classified as low score, whereas patients with lesions in more than two bones or presence of bone fracture were classified as high score. MMP-2 and MMP-9 were determined by PAGE gelatin zymography from plasma as previously described. MMP-9, TIMP-1 and TIMP-2, OPG and sRANKL concentrations were measured by ELISA. The levels of VEGF, bFGF were obtained using cytometric bead array. Ten healthy volunteers were used as controls. Bone marrow MVD measured in hotspots was evaluated in 26 out of 38 patients at diagnosis and 15 patients with Hodgkin Lymphoma stage IA and IIA (used as controls) by staining immunohistochemically for CD34. Comparisons among groups were analyzed by ANOVA and the correlation by the Spearman's correlation coefficient. Cox regression were performed for overall survival (OS) analysis. Results Patients with MM had elevated TIMP-1, TIMP-2 and OPG values compared with controls. No significant difference was found between plasma sRANKL, pro-MMP2, pro-MMP9 and MMP-9 levels. We found that plasma TIMP-1 levels correlated positively with bFGF, VEGF, MVD, beta-2 microglobulin (B2M) and OPG (r: 0.514, p=0,001, r: 0.350, p=0,031; r: 0.610, p<0.0001; r: 0.760, p<0.0001 and r: 0.701, p<0.0001, respectively) and TIMP-2 levels with bFGF, DMV, B2M and OPG (r: 0.512, p=0.002; r: 0.595, p<0.0001; r: 0.587, p<0.0001 and r: 0.552, p<0.0001, respectively). TIMP-1 and TIMP-2 levels correlated with the ISS stage (p<0.0001, p=0.006, respectively). The only variables that correlated with clinical bone disease staging were hemoglobin, B2M and albumin levels, whereas TIMP-1, TIMP-2, bFGF, VEGF and OPG correlated with DMV. On the univariate analyses, age, gender, proMMP2, TIMP-1, TIMP-2, creatinine, B2M and MVD were significantly associated with overall survival. In Cox regression model, TIMP-1, TIMP-2 and B2M levels remained to be significantly associated with OS. In conclusion, our results suggest that TIMP-1 and TIMP-2 levels are strongly associated with neoangiogenesis and are independent prognostic factors in MM. Disclosures No relevant conflicts of interest to declare.

Association of PML Expression with Chemotherapy-Resistance In Multiple Myeloma Cells

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 2959-2959
Author(s):  
Daisuke Ohgiya ◽  
Makoto Onizuka ◽  
Hiromichi Matsushita ◽  
Naoya Nakamura ◽  
Hiroshi Kawada ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Cellular Proliferation ◽  
Conflicts Of Interest ◽  
Alkylating Agents ◽  
Chemotherapy Resistance ◽  
Nuclear Body ◽  
Rank Test ◽  
Significant Difference ◽  
The Impact

Abstract Abstract 2959 Background: Although several novel agents have improved the prognosis of patients with multiple myeloma (MM), it still remains an incurable disease because of the difficulty to eradicate MM cells by current therapeutic approaches. Recent studies have revealed that a subset of malignant cells, cancer stem cells, contribute to chemotherapy-resistance in cancer treatment. Promyelocytic leukemia gene product (PML), known as a tumor suppressor through a variety of cellular functions in a nuclear macromolecular structure called the PML nuclear body, has been reported to be responsible for the chemotherapy-resistance by regulating cell cycle in chronic myeloid leukemia. We therefore investigated the impact of PML expression on the cellular proliferation status of MM cells and patients' prognoses. Materials/Methods: Bone marrow clot sections from 48 patients with newly diagnosed MM from Jan 1998 to Dec 2009 before any therapy at diagnosis were obtained, and analyzed, according to appropriate procedure approved by IRB at the Tokai University School of Medicine (Kanagawa, Japan) with written informed consent. They were doubly-stained with a combination of anti-PML/anti-CD138 and anti-Ki67/anti-CD138. For evaluation of the relation between PML status and cellular proliferation, the positive rates of PML and Ki67 in CD138 positive cells were compared. For investigation of the impact of PML expression on the prognosis of MM, the patients were divided into 3 groups, according to the PML positive rates in the CD138 positive cells: negative/low (less than 25 percentile: 12 cases), intermediate (from 25 to 75 percentile: 24 cases) and high (more than 75 percentile: 12 cases). Their overall survivals were compared using log-rank test. Furthermore, the PML positive rates between before and after treatments were compared using paired t-test. Results: The median observation period of 48 cases was 915 days. The median age of the patients was 62.5 (38-76) at diagnosis. All the patients were underwent combination chemotherapies containing alkylating agents as initial therapies. Two and nine patients were underwent allogeneic and autologous stem cell transplantation during the clinical courses, respectively. The numbers of patients of international staging system (ISS) stage I, II and III were 17, 14 and 17 cases. The PML positive rates in each case ranged from 0% to 83.8%. They were not correlated with ISS stages (Spearman r = 0.083) and the Ki67 positive rates (Spearman r = -0.13). The PML positive rates in the negative/low, intermediate and the high groups were less than 22.1%, from 22.1 to 56.6% and more than 56.6%, respectively. No significant difference in overall survival was observed among the 3 groups (p>0.05). However, there were significant differences in two year survival rate when the 3 groups were compared (100%, 85.2% and 54.7%; p=0.015) (Fig. 1). In 13 patients whose bone marrow clot sections were sequentially collected, the PML positive rates after treatments were significantly higher than those at diagnosis (p=0.0042) (Fig. 2). Especially, PML positive rates in all the 3 patients from the negative/low group were progressively increased (0.3 to 82.6%, 14.1 to 100%, 19.0 to 37.5%), and 2 of them died due to disease progression. On the other hand, 2 patients whose PML positive rates decreased after treatment were alive more than 5 years without therapies. Conclusion: Our data indicated that the level of the PML expression at diagnosis was a possible prognostic factor for early course of the disease (2 years after diagnosis). Chemotherapies might induce PML expression in MM cells or select PML positive MM cells. These findings suggest that PML expression presumably reflect chemotherapy-resistance in MM cells. The molecular mechanism of the association is now under investigation. Disclosures: No relevant conflicts of interest to declare.

A Better Mobilization Regimen for Newly Diagnosed Multiple Myeloma Patients,

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 4051-4051
Author(s):  
Ahmed Y Abuabdou ◽  
Eric R Rosenbaum ◽  
Saad Usmani ◽  
Bart Barlogie ◽  
Michele Cottler-Fox
Keyword(s):  
Multiple Myeloma ◽  
Conflicts Of Interest ◽  
Optimal Number ◽  
P Value ◽  
Newly Diagnosed ◽  
The Poor ◽  
Cd34 Cells ◽  
Significant Difference ◽  
Minimum Number ◽  
Poor Mobilizer

Abstract Abstract 4051 Introduction: What constitutes an acceptable mobilization regimen for collecting CD34+ cells depends on whether the goal of collection is to obtain a minimum number versus optimal number of cells. When treating patients with high-risk myeloma it may be important to obtain an optimal number. Here we compare retrospectively our earlier mobilization regimen, VTD-PACE, with MVTD-PACE in newly diagnosed, previously untreated multiple myeloma patients. Materials and Methods : We reviewed data for all patients who collected hematopoietic progenitor cells on Total Therapy protocols TT3a/TT3b with VTD-PACE (n=394) from February 2004 to September 2008 (138 females and 256 males, median age 59y; range 31–75), and on TT4/TT5 with MVTD-PACE (n=188) from August 2008 to May 2011 (78 females and 110 males, median age 61y, range 30–76). Based on their predicted first day collection with a large volume leukapheresis (30L processed), using our center's predictive formula (Blood 2010; 116(21):1182a), patients were stratified into 4 mobilizer types: poor (<2×106 CD34+ cells/kg), intermediate (≥2 to 10×106), good (>10 to 20×106) and excellent (>20×106). Variables examined included number of CD34+ cells/μl blood on day 1 and day 2 of collection (we have a minimum 2 day collection requirement), number of collection days to reach our minimum goal of 20×106 CD34+ cells/kg, and total CD34+ cells/kg collected for both chemotherapy groups. Variables for both groups stratified by mobilizer type were compared using two-tailed student's t-tests, except for the poor mobilizer group, where population size was too small for formal statistical analyses (VTD-PACE n=7, MVTD-PACE n=4), although averages were calculated. Results : There was no significant difference between VTD-PACE and MVTD-PACE for CD34+ cells/μl blood on day 1 of collection among the excellent [mean 368.9 (n=184) vs. 434.6 x106 (n=92); p-value 0.07], good [mean 138.6 (n=102) vs. 128.6 x106 (n=40); p-value 0.19], and intermediate [mean 60.1 (n=100) vs. 55.9 x106 (n=52); p-value 0.39] groups. A statistically significant difference between VTD-PACE and MVTD-PACE was found for CD34+ cells/μl blood on day 2 of collection for excellent mobilizers [mean 333.8 (n=184) vs. 460 ×106 (n=92); p-value <0.001], but not for the good [mean 165.7 (n=102) vs. 189.5×106 (n=40); p-value 0.21] and intermediate [mean 80.1 (n=101) vs. 102.3 ×106 (n=52); p-value 0.07] groups. When CD34+ cell/kg collection totals with VTD-PACE and MVTD-PACE were compared, a significant difference was seen for the intermediate mobilizer group only [mean 23.6 (n=101) vs. 26.3 ×106 (n=52); p-value 0.03]. For the poor mobilizer group, VTD-PACE had an average CD34+ cells/μl blood of 13.5×106 for day 1 of collection and 17.0 ×106 for day 2, with a total of 14.5×106 CD34+cells/kg collected; while MVTD-PACE had an average of 13.2×106 CD34+ cells/μl blood for day 1 of collection, 24.9×106 for day 2, with a total of 24.2×106CD34+ cells/kg collected. The number of collection days was similar between VTD-PACE and MVTD-PACE in the excellent mobilization group (2 days), but was slightly more for VTD-PACE compared to MVTD-PACE for the good (2.1 vs. 2 days), intermediate (3.2 vs. 2.9 days), and poor (6.1 vs. 5.8 days) groups. Conclusion : Both regimens allow more than minimum collections, but MVTD-PACE provides a higher peak number of CD34+ cells/μl blood, resulting in a slightly lower mean number of days of collection than VTD-PACE to reach an optimal collection. Disclosures: No relevant conflicts of interest to declare.

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