| Title |
Recovery of kidney function following delayed use of Theralite™ dialyzer in a patient with myeloma cast nephropathy.
|
|---|---|
| Published in |
Clinical Nephrology, April 2013
|
| DOI | 10.5414/cn107357 |
| Pubmed ID | |
| Authors |
Khagendra Dahal, Shani Shastri, Uma Narayanasami, Vanesa Bijol, Karen Rider, James A Strom, Bertrand L Jaber |
| Abstract |
We report the case of a 60- year- old man who presented with newly diagnosed multiple myeloma complicated by biopsy-proven acute cast nephropathy, requiring hemodialysis, plasmapheresis and chemotherapy. After remaining dialysis dependent for 5 weeks, a high cut-off (HCO) dialyzer, intended to use for the removal of plasma substances with a molecular weight of up to 45 kDa such as free light chains, was introduced to his outpatient 4-hour hemodialysis regimen with an increase in treatment frequency to 4 sessions per week. Following 6 weeks of dialysis with the HCO dialyzer, serum levels of free κ light chains declined by more than 75%. Concurrently, he recovered kidney function and discontinued dialysis. He subsequently received a successful autologous stem-cell transplant. We discuss the potential merit of using the HCO dialyzer late in the course of the care of patients with myeloma cast nephropathy who are dialysis dependent. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 23% |
| Other | 4 | 13% |
| Student > Bachelor | 4 | 13% |
| Student > Doctoral Student | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 8 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 48% |
| Nursing and Health Professions | 3 | 10% |
| Agricultural and Biological Sciences | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 8 | 26% |