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  • 1
    In: Blood, American Society of Hematology, Vol. 120, No. 21 ( 2012-11-16), p. 3830-3830
    Abstract: Abstract 3830 Background: The EUMDS registry was established to obtain an overview in the real world MDS demographics, diagnostics and disease-management. From April 2008 until December 2010, 1000 newly diagnosed patients with IPSS low and int-1 risk MDS were included in 14 countries and 118 participating centers. The major clinical problems in MDS are the consequences of cytopenias and disease-progression. Therefore, the most important treatment goals are improvement of cytopenias and prevention of leukemia. Objectives: To describe the causes of early mortality and to analyze the outcome of the first 1000 patients in the registry with and without disease-progression at 24 months follow-up. Results: The median age of the population was 74 years (range 18–95), 60% were male. The most frequent co-morbidities were hypertension (46%), diabetes mellitus (18%), arrhythmias (12%), and thyroid diseases (12%). The WHO subgroups are RCMD (39%), RA (19%), RARS (17%), RAEB-1 (13%), RCMD-RS (7%), MDS-U (3%), and del5q (2%). IPSS score (n=935) was 0 in 48%, 0.5 in 31% and 1 in 14% of the patients. WPSS score (n=924) was Very Low in 32%, Low in 38%, Intermediate in 19% and High in 4% of the patients (Table1). 184 of 1000 patients (18%) had started MDS specific treatment within 3 months after diagnosis: this increased to 43% at 24 months of follow-up. 15% of the patients (in 12 of the 14 countries) started ESA treatment at registration and this increased to 31% at 24 months, combined with G-CSF in 7%. At registration, 29% of the patients had received at least one RBC transfusion with a mean pre-transfusion Hb level of 8 g/dL. The percentage of transfusion-dependent (TD) patients remained stable during follow-up with 31%, 29%, 26% and 29% at 6, 12, 18, 24 months of follow-up, respectively. At 24 months, overall survival (OS) is 83%. Median time from date of inclusion until progression to higher risk MDS or leukemia is 293 days. Most patients (123) have died without disease-progression (DP) versus 45 patients who have died after DP at 24 months (Table1). DP has been defined as an increase in bone marrow blasts to a higher WHO category. The main causes of death in patients without DP were infections (21%) and cardiovascular events (11%). The mortality rate in transfusion-independent (TI) and TD patients without DP was 5% and 24%, respectively. In TI and TD patients with DP, the mortality rate was 32% and 66%, respectively (Table1; Graph 1). To define the prognostic relevance of serum ferritin (SF) and TD, the SF levels divided in two groups (1. 〈 1000 μg/L, 2. ≥1000 μg/L) were compared in TI and TD patients and stratified by disease-progression. The mortality rate according to SF at registration in TI patients without DP was 9% and 13%, respectively (HR 1.61, 95%CI 0.49–5.37). The mortality rate according to SF at registration in TD patients without DP was 21% and 56%, respectively (HR 4.79, 95%CI 2.56–8.96) (Table 1). Conclusions: The great majority of deceased lower risk MDS patients have died before they have developed clinical signs of disease-progression. Transfusion-dependent patients without disease-progression have a four times higher mortality rate than transfusion-independent patients. This indicates that the pathophysiology of cytopenias and related complications are a major point of interest in early mortality, especially in patients without disease-progression. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
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  • 2
    Online Resource
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    Ovid Technologies (Wolters Kluwer Health) ; 2002
    In:  AIDS Vol. 16, No. 12 ( 2002-08), p. 1698-1700
    In: AIDS, Ovid Technologies (Wolters Kluwer Health), Vol. 16, No. 12 ( 2002-08), p. 1698-1700
    Type of Medium: Online Resource
    ISSN: 0269-9370
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    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2002
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  • 3
    In: Haematologica, Ferrata Storti Foundation (Haematologica), Vol. 105, No. 3 ( 2020-03), p. 640-651
    Type of Medium: Online Resource
    ISSN: 0390-6078 , 1592-8721
    Language: English
    Publisher: Ferrata Storti Foundation (Haematologica)
    Publication Date: 2020
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  • 4
    In: Haematologica, Ferrata Storti Foundation (Haematologica), Vol. 103, No. 1 ( 2018-01), p. 69-79
    Type of Medium: Online Resource
    ISSN: 0390-6078 , 1592-8721
    Language: English
    Publisher: Ferrata Storti Foundation (Haematologica)
    Publication Date: 2018
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  • 5
    In: Blood, American Society of Hematology, Vol. 116, No. 21 ( 2010-11-19), p. 2917-2917
    Abstract: Abstract 2917 Background: The European LeukemiaNet MDS (EUMDS) registry is designed to collect information about the demographics and disease-management of newly diagnosed low-risk and intermediate-1 risk MDS patients. From April 2008 until July 2010, 828 patients have been registered in eleven participating countries through a web-based reporting system. Objectives: This report describes the disease-management of the first 800 registered patients, including transfusion-related issues like secondary iron overload and its treatment. Results: 159 of 800 patients (20%) started MDS specific treatment within three months before registration; this percentage increased to 50% at 18 months of follow-up. Most patients received erythroid-stimulating agents (ESA), like erythropoietin (Table 1). In patients with a clinical indication for ESA, the percentage of transfusion-independency was similar to the transfusion-independent group without indication for ESA at 18 months of follow-up (Table 1). Overall, 27% of the patients received blood transfusions at registration. This percentage remained stable during follow-up, probably due to the therapeutic effect of ESA (Table 1). The number of units transfused, per 6 months, in these patients increased from 5 to 13 units at 18 months of follow-up, with a mean pre-transfusion Hb level of 7.6 g/dL. The serum ferritin levels of the transfusion-dependent patients at registration were available in 159 patients. The serum ferritin level at registration was ≥2000 μg/L in 4% of the patients who received a mean number of 10 units (SD 7). This increased to 28% of the patients who received a mean number of 20 units (SD 11) at 18 months of follow-up. The percentage of patients on iron chelation therapy increased from 1% to 9% during follow-up (Table 1). In these patients the mean serum ferritin levels remained stable: 1913 μg/L (SD 1183) at registration and 1626 μg/L (SD 1232) at 18 months of follow-up. In contrast, transfusion-dependent patients not treated with iron chelation or ESA had increasing ferritin levels, with a mean ferritin of 630 μg/L (SD 597) at registration and 1586 μg/L (SD 1017) at 18 months of follow-up. 37 patients (5%) progressed to high-risk MDS or acute myeloblastic leukemia at a median of 155 days from registration. 62 patients (8%) have died within a median of 269 days from registration, 32 deaths were MDS related. The overall survival was 93% at 18 months of follow-up, with a progression-free survival of 90%. Differences in overall survival between transfusion-independent and transfusion-dependent patients were significant: 97% versus 85%, respectively (p 〈 0.0001; Table 2). In the multivariate analysis transfusion-dependency, ferritin levels and IPSS score predicted survival (Table 2). The IPSS score had a significant prognostic impact on overall survival and progression-free survival in contrast to the WHO classification (Data not shown). Conclusions: Despite a high transfusion load the mean serum ferritin levels remained stable during treatment with iron chelation. Transfusion-dependent patients had a worse overall survival and progression-free survival with higher ferritin levels and higher IPSS score as compared to transfusion-independent patients. This report demonstrates the importance of detailed disease-management in low- and intermediate-1 risk MDS patients. Disclosures: Fenaux: Celgene: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Janssen Cilag: Honoraria, Research Funding; ROCHE: Honoraria, Research Funding; AMGEN: Honoraria, Research Funding; GSK: Honoraria, Research Funding; Merck: Honoraria, Research Funding; Cephalon: Honoraria, Research Funding. Bowen:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AMGEN: Honoraria; Celgene: Honoraria, Research Funding; Chugai: Honoraria, Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2010
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  • 6
    In: Blood, American Society of Hematology, Vol. 116, No. 21 ( 2010-11-19), p. 3999-3999
    Abstract: Abstract 3999 A prospective, multicenter European Registry (EUMDS) for newly diagnosed IPSS low and intermediate-1 MDS was initiated under the auspices of the EuropeanLeukemiaNet. As data on health-related quality of life (HR-QoL) in newly diagnosed MDS patients are rare, the EQ-5D (European quality group 5 dimensions) descriptive system was introduced in this evaluation. The EQ-5D evaluates HR-QoL in five dimensions: mobility, self-care, usual activities, pain/discomfort, anxiety/depression at level 1 (no problem), 2 (moderate problem) or 3 (severe problem, unable to do). Moreover HR-QoL is rated by the patient on a visual analog scale (VAS) ranging from 0–100. In 683 out of 800 EUMDS patients (85.4%) analyzed so far, the EQ-5D score has been applied at initial presentation. Median age was 72.8 yrs (18.7-95.3) with 61.9% male patients. Whereas a reduced performance status as defined by a Karnofsky Index 〈 -70 was detected in 18.7%, an impaired QoL was observed in a greater proportion of MDS patients. Using EQ-5D moderate or severe problems (level 2 & 3) were described in a relevant proportion in the dimensions mobility (43.9%), self-care (13.2%), usual activities (34.1%), pain/discomfort (51.3%) and anxiety/depression (41.2%). The dimensions mobility (p 〈 0.0001), self-care (p=0.004), usual activities (p=0.01) and pain/discomfort (p=0.012) were clearly age-dependent, as no problem (Level 1) was detected in 72, 95, 60 and 52% of 50–59 years old MDS patients (n=60) in the respective dimensions, was 67, 95, 79 and 59.8% in 60–69 years old persons (n=147), whereas the cohort of 70–79 years old (n=279) as well as the 80+ group (n=174) revealed a lower percentage of 55 (39), 83 (81), 65 (57) and 48 (38) %, respectively. Similarly VAS-based self-reported health was lower in elderly patients; mean score 74 (sd 17.1) in 50–59 yrs, 76.4 (18.2) in 60–69 yrs, 67.6 (20.1) in 70–79 yrs and 64 (19.2) in 80+ yrs (p 〈 0.0001). Pronounced sex differences were observed, as no problem (Level 1) was detected in usual activities in 69.6 in male vs 60% in female (p=0.007), in pain/discomfort 53.6 vs 40.9% (p 〈 0.0001) and in anxiety/depression 66.6 vs 46.2% (p 〈 0.0001). The gender effect was less pronounced in the dimension mobility (level 1: 59.1% m vs 51.2% f; p=0.08) and self-care 88% vs 84.6% (ns). The EQ-5D status was reported in 11 different countries contributing to this registry and ranged from 61.4 (VAS score maean)(sd 21.4) in France to 78.0 (sd 15.9) in Romania (p 〈 0.0001). Restrictions in QoL were more often seen in anemic patients, as hemoglobin (Hb) values were significantly lower in patients with restrictions in mobility (Hb 9.8 vs 10.4 g/dl (mean), (Odds ratio 0.82 (0.74-0.90, 95% CI, p 〈 0.0001), in self care (8.7 vs 10.2; OR 0.72 (0.63-0.83) p 〈 0.0001), in usual activities (9.5 vs 10.4; OR 0.75 (0.68-0.83) p 〈 0.0001) and in pain/discomfort 9.9 vs 10.4 (OR 0.86 (0.79-0.94, p=0.001). Comorbidities as assessed by Sorror index were detected in a substantial proportion of patients and were associated with a reduced QoL: Sorror index 0: VAS 74.4 (mean), SD 19.2; 1 (72.3; 18.9); 2 (68.6; 18.2) and 3+ (63.3, 20.7) (p=0.01). This study represents the first prospective analysis of health-status and QoL in a large cohort of newly-diagnosed MDS patients, revealing restrictions in self-reported health in a relevant proportion of MDS patients. In the evaluation of QoL in MDS age- and gender effects as well as possible cross-cultural differences should be considered. EQ-5D value sets, representing the general population from European countries will allow comparisons to be made between the general population and patients with MDS and will contribute to understand the impact of MDS on QoL. EQ-5D will be prospectively re-assessed 6-monthly in all patients continuing follow up in the registry. Disclosures: Stauder: Celgene: Research Funding. Fenaux:Celgene: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Janssen Cilag: Honoraria, Research Funding; ROCHE: Honoraria, Research Funding; AMGEN: Honoraria, Research Funding; GSK: Honoraria, Research Funding; Merck: Honoraria, Research Funding; Cephalon: Honoraria, Research Funding. Hellstrom-Lindberg:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Bowen:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AMGEN: Honoraria; Celgene: Honoraria, Research Funding; Chugai: Honoraria, Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2010
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  • 7
    In: Blood, American Society of Hematology, Vol. 116, No. 21 ( 2010-11-19), p. 1867-1867
    Abstract: Abstract 1867 Background: The European LeukemiaNet MDS Registry programme is the largest and most comprehensive prospective population-based registry of ‘low-risk’ MDS patients followed from diagnosis. Objective: The primary objective of this study is to describe the demographics and the disease-management of newly diagnosed MDS patients within IPSS low and intermediate-1 categories. Methods: The project recruits patients from 107 sites in 11 countries, ranging from 2–25 sites per country and including a high proportion of non-University centres in small cities. Consecutive eligible adult patients are registered within 3 months of diagnosis. Local diagnosis is accepted and a large dataset is collected including laboratory data, clinical information (including co-morbidity and concomitant medication) plus health utility (EQ-5D). Data are entered via a web portal and are source verified by study monitoring visits to sites. Results: As of July 2010, 828 patients are registered; data are presented for the first 800 patients. Recruitment is highest from France (n=237) then UK (104), Greece (99), Spain (92), and Sweden (73). Median age is 74.2 yrs (range 18.7–95.3) and from the four largest recruiting countries is 74.6–77.1 yrs. Sixty one percent of patients are male. Twenty patients are non-Caucasian (n=763). Body mass index is overweight (WHO definition) in 43.4% pts and obese in 18.3%, comparable to WHO data for the general adult population (http://apps.who.int/bmi/index.jsp). RCMD is the largest WHO subgroup (34%), followed by RARS (19%), RA (18.4%), RAEB-1 (12.5%), del5q (5.4%), MDS-U (3.5%) and RAEB-2 (0.5%). All WHO subgroups have male predominance except del5q with a striking female excess (79%). IPSS score (n=743) is 0 (52.3%), 0.5 (33.2%), and 1 (14.4%). 84.5% patients have IPSS ‘good’ cytogenetics. 19% patients have 0 cytopenias, 53% 1 cytopenia, 20% 2 cytopenias and 8% 3 cytopenias. WPSS category (with transfusion dependence assessed at time of registration, n=727) is Very Low (35.5%), Low (39.5%), Intermediate (21%), High (4%). Bone marrow features: mean no. of dysplastic lineages = 1.9, bone marrow ring sideroblasts percent = 0 (60% pts), 〈 15 (11.5%), ≥15 〈 50 (19.2%), ≥50 (9.6%). Median haemoglobin (Hb) concentration at presentation is 10.1 g/dl; 36% values were 〈 10 g/dl and 10% 〈 8 g/dl. Hb decreased with age (categorical variable Hb. 〈 13 〉 11.5, 〈 11.5 〉 10, 〈 10; Χ2 test, P 〈 .0001). Mean neutrophil count was 2.8 × 109/l with 27% values 〈 1.5 × 109/l, 16% 〈 1 × 109/l, and 5% 〈 0.5 × 109/l. Median platelet count was 184 × 109/l; 5% patients had values 〈 50 × 109/l and 3% 〈 20 × 109/l. Platelet count and neutrophil count did not change with age. Median serum erythropoietin (EPO) concentration (n=418) was 49 IU/l, 81% values were 〈 200 IU/l and 7% 〉 500 IU/l. Mean creatinine clearance was 71 mls/min with a marked reduction with age (P 〈 .0001). Baseline serum EPO correlated with Hb. (r=.37, P 〈 .0001), creatinine clearance (r=.22, P 〈 .0001) and age (r=.1, P 〈 .0001). The relationship between creatinine clearance, baseline EPO and response to EPO therapy will be explored. Discussion: This registry records data from the ‘real world’, namely what the hematopathologists in 100 sites diagnose locally as low-risk MDS and will as such be managed as MDS. Median age is consistent with other population-based data (US Medicare, Yorkshire Haematological Malignancy Research Network [www.hmrn.org]). In comparison with registries from specialist MDS centres, median age is higher and a lower proportion have del(5q) WHO subtype. Conclusion: The ELN registry clearly maps the diagnosis and management of low-risk MDS in routine clinical practice in hospitals large and small, specialist and non-specialist and is a unique resource. Acknowledgments: The Steering Committee (SC) acknowledges the commitment and enthusiasm from all 107 sites contributing high quality data to the project. The SC is also grateful for the funding commitment of Novartis Oncology Europe through the University of Nijmegen. Disclosures: Bowen: Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AMGEN: Honoraria; Celgene: Honoraria, Research Funding; Chugai: Honoraria, Research Funding. Fenaux:Celgene: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Janssen Cilag: Honoraria, Research Funding; ROCHE: Honoraria, Research Funding; AMGEN: Honoraria, Research Funding; GSK: Honoraria, Research Funding; Merck: Honoraria, Research Funding; Cephalon: Honoraria, Research Funding. Hellstrom-Lindberg:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2010
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  • 8
    In: Blood, American Society of Hematology, Vol. 120, No. 21 ( 2012-11-16), p. 700-700
    Abstract: Abstract 700 Purpose: Prognosis of lower (IPSS low/int-1) risk MDS is heterogeneous. Current prognostic systems rely on single time point cytopenia values (Hb level, ANC, PLT counts) at diagnosis (classical or revised IPSS [IPSS-R] Greenberg, Blood 2012) or during evolution (time-dependent IPSS/WPSS). Capturing the dynamics of continuous parameters can yield independent prognostic information as exemplified by lymphocyte time doubling in CLL. We analyzed the prognostic relevance of the kinetics of Hb, ANC and PLT in lower-risk MDS patients (pts) included in the prospective EUMDS registry. Methods: Among the first 1000 pts included in the EUMDS registry, those fulfilling the following criteria were analyzed here: a) IPSS low/int-1; b) ≥3 visits (planned every 6 months) with ≥12 months follow-up; c) not treated with hypomethylating agents, G-CSF, hydroxyurea or lenalidomide. Dynamics of Hb, ANC, and PLT were studied by deriving linear models of each variable for each pt. Only pts with ≥3 measures of Hb, ANC and PLT and with stable or worsening corresponding cytopenia (model slope ≤0) were considered in each analysis, regardless of the goodness of fit (R2) of models. Time (T) to lose 1 g/dL of Hb (THb), 1.0 x109/L of ANC (TANC) and 50 x109/L of PLT (TPLT) were derived with the formula: T ∼ 1/slope. All survival analyses were made from the date of registry entry to last follow-up, death, or progression to AML. Unless specified, survival analyses were Cox models using continuous variables accounting for interactions. Results: 530 pts met study inclusion criteria (M/F: 314/216, median age: 73y). WHO diagnosis was 5q- syndrome, RA, RARS, RCMD, RCMD-RS, RAEB-1 and MDS-U in 5, 21, 20, 38, 7, 8 and 2% respectively (resp). IPSS risk was low, int-1 and low/int-1 (cytogenetics not available) in 55%, 38% and 7% resp. At registry entry, median Hb, ANC and PLT were 10.4 g/dL, 2.4 x109/L and 187 x109/L resp. and 23% were RBC transfusion-dependent; 293 received an ESA. The median number of available blood counts was 4 (range 3–9). THb, TANC and TPLT could be determined because of a stable or worsening cytopenia (slope ≤0) in 250/508, 258/495 and 301/509 pts with ≥3 values. There was no significant correlation between the number of values available and the goodness-of-fit (R2) of linear models (all P 〉 0.3). Median THb TANC and TPLT were 23.5 (interquartile range [IQR]: 42.2), 28.7 (IQR: 52.1) and 26.9 (IQR: 49.2) months respectively. Because these figures are derived from linear models, they can be simply rescaled by a proportional extrapolation for daily practice (eg. −1 x109/L ANC at 28.7 months = −0.41 x109/L [12/28.7] at 12 months). THb, TANC and TPLT were not correlated to age, cytogenetic risk, IPSS, IPSS-R or baseline simplified WPSS (Malcovati. Haematologica 2011; all P 〉 0.2). TANC and TPLT (but not THb) were shorter in pts with baseline RBC transfusion dependence (P=.02 and .003, resp.). With a median follow-up of 20.9 months in the 530 pts, 19 patients have progressed (AML: 14, RAEB: 5) and 71 patients have died; 3-year estimates of overall (OS) and progression-free (PFS) survivals were 74.4% and 73.6%. All further analyses are shown for OS and give similar results for PFS. In univariate analysis, longer TANC (hazard ratio [HR] for 6-months increments: 0.88 [95% CI: 0.80–0.97] , P=.008) and TPLT (HR: 0.01 [95% CI: 0.001–0.30], P=.007) but not THb (P=.07) were associated with prolonged OS. Pts with a ≥1 x109/L decrease in ANC in less than the median time of 28.7 months (N=129) had a 3-year OS of 66.3% [95% CI: 55.0–79.9%] vs 89.3% [79.7–100%]. Pts with a ≥50 x109/L decrease in PLT in less than the median of 26.9 months (N=151) had a 3-year OS of 59.4% [46.8–75.4%] vs 85.6% [77.5–94.6%] (Figure, both P 〈 10−4). There was no significant difference in the cause of death between those subgroups. In multivariate analysis, the prognostic impact of TANC and TPLT remained independent of baseline IPSS (P=.006 and P=.01 resp.) or IPSS-R (both P=.01), and of simplified time-dependent WPSS (P=.004 and P=.03). A landmark analysis at 2 years, using only retrospective data to derive TANC and TPLT is planned. Conclusion: In lower-risk MDS with stable or worsening cytopenias, kinetics of decline can be approximated to be linear to allow easy prognostic use in clinical practice. Faster decline of ANC and to a lesser extent of PLT counts, but not of Hb level (possibly because of transfusions and use of ESA), is associated with shorter OS and PFS, independently of IPSS, IPSS-R and WPSS. Disclosures: Germing: Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
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  • 9
    In: Annals of Hematology, Springer Science and Business Media LLC, Vol. 96, No. 7 ( 2017-7), p. 1105-1112
    Type of Medium: Online Resource
    ISSN: 0939-5555 , 1432-0584
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2017
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  • 10
    In: Blood, American Society of Hematology, Vol. 132, No. Supplement 1 ( 2018-11-29), p. 4392-4392
    Abstract: Background: Patients with lower-risk MDS (LR-MDS) are prone to iron toxicity due to long-term iron accumulation either caused by RBC transfusions or ineffective erythropoiesis. Nontransferrin bound iron (NTBI), including labile plasma iron (LPI), are toxic iron species that may mediate cellular damage via oxidative stress. The EUMDS registry collects prospective observational data on newly diagnosed LR-MDS patients from 145 centers in 17 countries since 2008. Methods: We analyzed serum from 247 LR-MDS patients collected at six-month intervals for ferritin, transferrin saturation (TSAT), hepcidin-25, soluble transferin receptor (sTfR) and toxic iron species (NTBI and LPI) in order to evaluate temporal changes in iron metabolism, the presence of potentially toxic forms of iron and their impact on survival, and quality of life. In addition, we measured the impact of iron chelation on the iron species levels and its impact on the outcome parameters. Results: The median age was 73 years (range: 37 to 95 years) and 66% were males. WHO2001 MDS-subtypes were RCMD (45%), RARS (22%), RA (18%), RAEB-1 (7%), 5q-syndrome (4%) and RCMD-RS (4%). The IPSS-R categories were: (very) low risk: 66%; intermediate risk: 11%; (very) high risk: 2% and unknown: 20%. The median EQ5D index score was 0.80 (p10 to p90: 0.52 to 1.00). The table shows iron parameters at registration, 1 and 2 years follow-up both in transfusion-dependent (TD) and transfusion-independent (TI) patients and according to: MDS-RS (RARS/RCMD-RS) or MDS Other (RA/RCMD/RAEB/5q-syndrome). Mean serum ferritin levels were increased in TD patients, compared to TI patients (Table). Increase of ferritin levels over time was high in both TD groups, but the increase was more pronounced in the RS subgroup. Elevated CRP levels ( 〉 10mg/L) were observed in TD nonRS patients, especially during the first year after diagnosis. Markedly increased mean TSAT levels ( 〉 75%) occurred in the subgroup of TD-RS patients throughout the observation period. Hepcidin levels were most markedly elevated in TD nonRS patients at registration and remained elevated during follow-up (Table). Hepcidin levels were low in MDS-RS TI patients at all time points compared to nonRS MDS patients and decreased over time as a result of an increased (ineffective) erythropoiesis (Table). This is supported by the highest levels of STfR also noted in this patient category (data not shown). The highest NTBI and LPI levels were observed in TD-RS patients compared to the other 3 subgroups (Table). Both NTBI and LPI levels had a strong correlation (p 〈 0.001) with TSAT. Elevated LPI levels in combination with high TSAT levels ( 〉 80%) occurred almost exclusively in patients with MDS-RS and/or previous transfusions. Both the EQ5D index score and EQ-VAS showed a negative correlation (r) with LPI levels with r = -0.09 (p = 0.028) and r = -0.07 (p=0.046) respectively. This negative effect of elevated LPI levels was most pronounced in the TD RS subgroup with a negative correlation of -0.17 for the EQ5D index score and -0.2 for the VAS score. In total 16 patients received iron chelation during the sample collection period (11 patients deferasirox, 4 patients desferioxamine and 1 patient unknown). LPI levels were normal in 14 out of the 17 samples collected during deferasirox treatment and in 2 out of 5 samples collected during desferoxamine treatment. The Kaplan-Meier curves (Figure) demonstrate the prognostic impact of elevated LPI levels by transfusion status as a time dependent variable; once a subject had an elevated LPI level, they remained in this group. Patients were censored at time of starting iron chelation (16 patients). In a multivariate analysis comparing elevated LPI levels and transfusion dependency to the control group with undetectable LPI and no transfusion showed a significantly decreased survival in all 3 risk groups after adjustment for age at diagnosis, baseline IPSS-R category and ESA treatment status; for details, see supplementary table. Conclusion: This study illustrates labile plasma iron species as a clinically relevant assay for identification of the toxic fraction of overt iron overload and its negative impact on HRQoL and overall survival in transfusion dependent and transfusion independent patients. Table. Table. Disclosures Culligan: Merck Sharp & Dohme (MSD): Honoraria; Abbvie: Other: Support to attend conferences; Takeda: Honoraria, Other: Support to attend conferences; Pfizer: Honoraria; Celgene: Other: Support to attend conferences; JAZZ: Honoraria; Daiichi-Sankyo: Other: Support to attend conferences. Garelius:novartis: Honoraria. de Witte:Celgene: Honoraria, Research Funding; Novartis: Research Funding; Amgen: Consultancy, Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2018
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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