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The risk of renal disease is increased in lambda myeloma with bone marrow amyloid deposits

Overview of attention for article published in Journal of Blood Medicine, March 2017
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Title
The risk of renal disease is increased in lambda myeloma with bone marrow amyloid deposits
Published in
Journal of Blood Medicine, March 2017
DOI 10.2147/jbm.s129516
Pubmed ID
Authors

Piotr Kozlowski, Scott Montgomery, Rahel Befekadu, Victoria Hahn-Strömberg

Abstract

Light chain amyloidosis (AL) is a rare deposition disease and is present in 10-15% of patients with myeloma (MM). In contrast to symptomatic AL in MM, presence of bone marrow (BM) amyloid deposits (AD) in MM is not connected to kidney damage. Renal AD but not BM-AD occur mostly in MM with lambda paraprotein (lambda MM). We investigated amyloid presence in BM clots taken at diagnosis in 84 patients with symptomatic MM and compared disease characteristics in MM with kappa paraprotein (kappa MM)/lambda MM with and without BM-AD. Lambda MM with BM-AD was compared with kappa MM without BM-AD, kappa MM with BM-AD, and lambda MM without BM-AD: lambda MM with BM-AD patients had a significantly higher mean creatinine level (4.23 mg/dL vs 1.69, 1.14, and 1.28 mg/dL, respectively) and a higher proportion presented with severe kidney failure (6/11 [55%] vs 6/32 [19%], 1/22 [5%], and 3/19 [16%], respectively). Proteinuria was more common in lambda MM with BM-AD patients compared with kappa MM without BM-AD patients (8/11 [73%] vs 5/32 [16%], respectively). Kidney damage was more common in lambda MM with BM-AD indicating presence of renal AD.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 15%
Student > Bachelor 2 15%
Professor 2 15%
Student > Ph. D. Student 2 15%
Student > Postgraduate 2 15%
Other 1 8%
Unknown 2 15%
Readers by discipline Count As %
Medicine and Dentistry 5 38%
Biochemistry, Genetics and Molecular Biology 1 8%
Mathematics 1 8%
Computer Science 1 8%
Nursing and Health Professions 1 8%
Other 2 15%
Unknown 2 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 March 2017.
All research outputs
#20,410,007
of 22,959,818 outputs
Outputs from Journal of Blood Medicine
#244
of 291 outputs
Outputs of similar age
#271,161
of 311,253 outputs
Outputs of similar age from Journal of Blood Medicine
#1
of 1 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 291 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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