Immunoglobulin D Multiple Myeloma With Rapidly Progressing Renal Failure
Bibliographic record
Abstract
Immunoglobulin D (IgD) multiple myeloma (MM) is a very rare form of myeloma affecting less than 2% of all myeloma patients. It has a multiorgan involvement with renal failure being the key feature. We present here a case of IgD MM in a 62-year-old white male, smoker with past medical history of hypertension, who presented to emergency department with complaints of lower abdominal pain, constipation and decreased urination. Physical exam was unremarkable. Laboratory investigation showed S.Cr 5.99 mg/dL, hemoglobin 8.7 g/dL and corrected S.Ca 10.6 mg/dL. Urine dipstick showed 100 protein and TP/Cr ratio was 23. Serology was positive for serum free lambda chain level of 8,947.6 mg/L as well with free κ/λ ratio < 0.01. The results of serum and urine electrophoresis and immunofixation were also supportive of diagnosis of IgD MM. IgD level was remarkably elevated (27,300 mg/L) too. CT scan of abdomen/pelvis was negative for obstructive uropathy. Skeletal survey showed a solitary lytic lesion in the iliac crest. His kidney function deteriorated next day requiring hemodialysis. The bone marrow biopsy was positive for plasma cell hypercellularity (70-80%) and flow cytometry showed 8% monoclonal IgD lambda plasma cells. The patient was started on bortezomib and dexamethasone and he underwent bone marrow transplant 6 months later. He is doing well hematologically now but he remains dialysis-dependent. IgD MM is a very rare disease affecting younger population with poor prognosis; patients often end up on hemodialysis despite better control of the hematological component.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".