scholarly journals The impact of the introduction of bortezomib on dialysis independence in multiple myeloma patients with renal impairment: a nationwide Dutch population-based study

Haematologica ◽  
2018 ◽  
Vol 103 (7) ◽  
pp. e311-e314 ◽  
Author(s):  
Berdien E. Oortgiesen ◽  
Roshna Azad ◽  
Marc H. Hemmelder ◽  
Robby E. Kibbelaar ◽  
Nic J.G.M. Veeger ◽  
...  
2011 ◽  
Vol 110 (2) ◽  
pp. 226-232 ◽  
Author(s):  
Catharina A. Goossens-Laan ◽  
Otto Visser ◽  
Maarten C.C.M. Hulshof ◽  
Michel W. Wouters ◽  
J. L. H. Ruud Bosch ◽  
...  

2012 ◽  
Vol 91 (10) ◽  
pp. 1587-1595 ◽  
Author(s):  
Simone Oerlemans ◽  
Olga Husson ◽  
Floortje Mols ◽  
Philip Poortmans ◽  
Henk Roerdink ◽  
...  

2017 ◽  
Vol 6 (7) ◽  
pp. 1807-1816 ◽  
Author(s):  
Henrik Gregersen ◽  
Annette Juul Vangsted ◽  
Niels Abildgaard ◽  
Niels Frost Andersen ◽  
Robert Schou Pedersen ◽  
...  

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4490-4490
Author(s):  
Sigrun Thorsteinsdottir ◽  
Ingigerdur S Sverrisdottir ◽  
Gauti Gislason ◽  
Ola Landgren ◽  
Ingemar Turesson ◽  
...  

Abstract Introduction Multiple myeloma (MM) causes lytic bone lesions, osteopenia, and fractures, which increase the morbidity of MM patients. Results from small previous studies have indicated that fractures in MM have a negative effect on survival. Aims The aim of the study was to evaluate the impact of fractures on survival in MM patients diagnosed in Sweden in the years 1990-2013. Furthermore, to analyze the effect of bone fractures at MM diagnosis on subsequent survival. Methods Patients diagnosed with MM in 1990-2013 were identified from the Swedish Cancer Registry. Information on date of birth, diagnosis, and death were collected from the Registry of Total Population. Information on all fractures were retrieved from the Swedish Patient Registry. Cox regression model was used with fractures as time-dependent variables. The effect of fractures on survival was assessed for any fracture or a subtype of fracture (a specific bone fracture or ICD-coded pathologic fracture). Either first fracture or the first subtype of fracture was used in the analysis. The effect of a fracture at MM diagnosis (within 30 days before or 30 days after MM diagnosis) on survival was also estimated using a Cox regression model. All models were adjusted for age, sex, time of diagnosis, and previous fractures. Results A total of 14,008 patients were diagnosed with MM in the study period. A total of 4,141 (29.6%) patients developed a fracture including fractures that occurred within a year before MM diagnosis and thereafter. Hereof 2,893 (20.7%) patients developed a fracture after MM diagnosis. The risk of death was significantly increased for patients that developed a fracture after the time of MM diagnosis with a hazard ratio (HR) of 2.00 (95% confidence interval (CI) 1.91-2.10) for all fractures combined. The risk of death was significantly increased for patients that developed all subtypes of fractures after MM diagnosis except ankle fractures. The risk of death was significantly increased for patients that developed pathologic fractures (HR=2.17; 95% CI 2.03-2.32), vertebral fractures (HR=1.73; 95% CI 1.61-1.87), hip fractures (HR=1.99; 95% CI 1.82-2.18), femoral fractures (HR=2.62; 95% CI 2.32-2.98), humerus fractures (HR=2.57; 95% CI 2.32-2.86), forearm fractures (HR=1.24; 95% CI 1.05-1.46), and rib fractures (HR=1.52; 95% CI 1.31-1.77), but not for ankle fractures (HR 1.07; 95% CI 0.79-1.44). A total of 942 (6.7%) of all MM patients were diagnosed with a fracture within 30 days before or 30 days after MM diagnosis. The patients with a fracture at diagnosis were at a significantly increased risk of death compared to those without (HR 1.31; 95% CI 1.21-1.41; Figure) Conclusions Our large population-based study, including over 14,000 patients diagnosed with MM in Sweden in the years 1990-2013, showed that MM patients that developed a fracture after the time of diagnosis were at twofold increased risk of dying compared to MM patients without a fracture. Furthermore, MM patients with a fracture at diagnosis had a 30% higher risk of dying compared to patients without a fracture. Our results indicate that fractures in MM reflect a more advanced disease at diagnosis and stress the importance of managing MM bone disease in all MM patients. Figure. Figure. Disclosures Landgren: Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Consultancy; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Consultancy; Celgene: Consultancy, Research Funding; Amgen: Consultancy, Research Funding.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 3996-3996
Author(s):  
Jacob D Gundrum ◽  
Joan M Neuner ◽  
Ronald S. Go

Abstract Abstract 3996 Background: We performed a population-based study to determine the rates of major complications related to multiple myeloma, lymphoplasmacytic lymphoma, and Waldenstrom's macroglobulinemia (hence abbreviated as MM) at the time of cancer diagnosis in the US, their trends over time, disparities among demographic subsets, and the impact of preceding follow-up for MGUS. Methods: Data were obtained from the Surveillance Epidemiology and End Results (SEER) database linked to Medicare claims. We considered patients age >/= 67 years with MM diagnosed from 1994–2007 (N = 28,879). We excluded those who were diagnosed by autopsy or death certificate only, had invasive cancers within 5 years prior to MM diagnosis, lacked date of either diagnosis or death, lacked complete Medicare parts A/B coverage 15 months prior to or 3 months after MM diagnosis date (or to date of death, if death was within 3 months), and receiving dialysis for other conditions (n = 11,450). Major complications including acute kidney injury (AKI), dialysis requirement, cord compression, fracture, and hypercalcemia presenting within 3 months before or after MM diagnosis were obtained from diagnosis and procedure claims. MGUS follow-up was defined as having a diagnosis claim 3–15 months prior to MM diagnosis. Results: Of the 17,429 MM patients included in our study, 50.6% were males and the median age was 77 years. Major complications were present at diagnosis in 31.9% of the patients in the following order of frequency: fracture (16.6%), acute kidney injury (13.5%), hypercalcemia (5.5%), dialysis (5.3%), and cord compression (2.4%). There was a significant increase in most complication rates (unadjusted) over time (P < .001) except for hypercalcemia and cord compression. Females were more likely to have hypercalcemia (6.0% vs 5.1%; P = .005) or fracture (19.4% vs 13.9%; P < .001), but men were more likely to have AKI (14.6% vs 12.3%; P < .001) and to require dialysis (5.8% vs 4.8%; P = .002). Blacks were more likely to have hypercalcemia (7.1%; P < .001), AKI (18.3%; P < .001), cord compression (3.1%; P = .009), or require dialysis (7.8%; P < .001), but were less likely to have fracture (14.6%; P < .001) compared to whites (5.4%, 12.9%, 2.3%, 5.0%, and 17.1%, respectively) or other races (4.6%, 12.5%, 1.0 %, 4.8%, and 16.0%, respectively). Overall, 6% of the patients had MGUS follow-up (n = 1,037) preceding MM diagnosis with an increasing trend from 2.6% in 1994 to 6.9% in 2007 (P < .001). Complication rates were lower in the group with MGUS follow-up compared to those without follow-up: any complication (20.8% vs 32.6%; P < .001), AKI (10.1% vs 13.7%; P < .001), cord compression (1.4% vs 2.4%; P < .001), dialysis (3.4% vs 5.4%; P = .004), fracture (11.0% vs 17.0%; P < .001), and hypercalcemia (2.4% vs 5.7%; P < .001). Conclusions: At the time of MM diagnosis, major cancer-related complications were present in a third of patients with increasing trends from 1994–2007 for fracture, AKI, and requirement for dialysis. Complication rates varied among gender and race. Patients being followed for MGUS had significantly lower complications rates compared to those who were not. Disclosures: No relevant conflicts of interest to declare.


2016 ◽  
Vol 180 (4) ◽  
pp. 588-591 ◽  
Author(s):  
Felicity Evison ◽  
Jason Sangha ◽  
Punit Yadav ◽  
Yu Sandar Aung ◽  
Adnan Sharif ◽  
...  

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 3987-3987
Author(s):  
Sigurdur Y Kristinsson ◽  
Lynn Goldin ◽  
Ingemar Turesson ◽  
Magnus Bjorkholm ◽  
Ola Landgren

Abstract Abstract 3987 Background: Patients with multiple myeloma are at an increased risk of venous thromboembolism (VTE), especially when treated with thalidomide and lenalidomide. The etiology of this is largely unknown, but probably involves both genetic and environmental factors. Family history of VTE is a known risk factor for VTE in the general population, including known inherited thrombophilic abnormalities. The influence of a family history of VTE as a potential risk factor for VTE in multiple myeloma patients is unknown. To expand our knowledge on this topic, we conducted a large population-based study based on all multiple myeloma patients diagnosed in Sweden 1958–2004. Patients and Methods: We assessed the impact of family history of VTE as a risk factor for VTE among 21,067 multiple myeloma patients and 83,094 matched controls. Data on multiple myeloma patients was gathered from the Swedish Cancer Registry, information on first-degree relatives from the national Multigenerational Registry, and occurrence of VTE from the nationwide Patient Registry. We calculated odds ratios (OR) and 95% confidence intervals (CI) using chi-square. Results: Of the 21,067 multiple myeloma patients included in the study (54% males, median age at diagnosis 71 years), 66% had an identifiable first-degree relative. VTE was diagnosed in 1,429 multiple myeloma patients, and 921 had a family history of VTE. Compared to multiple myeloma patients without a family history of VTE, multiple myeloma patients with a family history of VTE had a 2.2-fold (95% CI 1.8–2.7; p<0.001) higher risk of VTE. Among 4,986 controls that were diagnosed with VTE, 316 had a family history of VTE. Controls with a family history of VTE had a 1.5-fold (95% CI 1.3–1.7; p<0.001) increased risk of VTE compared to controls without a family history of VTE. The difference of the impact of family history of VTE on the risk of VTE in multiple myeloma patients versus controls was significant. Summary and Conclusions: In this large population-based study including more than 20,000 multiple myeloma patients, we found family history of VTE to have a larger impact on VTE risk in multiple myeloma than in matched controls. Our findings confirm that genetic factors contribute to thrombophilia in multiple myeloma and may have therapeutic implications regarding thromboprophylaxis and treatment. Disclosures: No relevant conflicts of interest to declare.


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