Phosphorus‐Enriched Hemodialysis for the Treatment of Hypophosphatemia in a Patient with Severe Lithium Poisoning
Bibliographic record
Abstract
Severe lithium poisoning requires intensive and prolonged hemodialysis (HD) treatment in addition to supportive therapy. Aggressive dialytic therapy can bring about hypophosphatemia, especially, in those patients who are normo‐ or hypophosphatemic to begin with. We report here the use of phosphorus (P)‐enriched HD in a hypophosphatemic patient with lithium poisoning. A 58‐year‐old woman with a long history of bipolar disorder treated with chronic lithium therapy presented with progressively worsening confusion and incoherent speech. She was noted to be confused with a labile mood. The serum levels were lithium 3.6 mM, creatinine 1.7 mg/dL, Na 136 mM, K 4.2 mM, CO2 21 mM, BUN 23 mg/dL, and P 2.1 mg/dL. After a conventional, 4‐h HD session, she became more hypophosphatemic with a P level of 1.8 mg/dL. A P‐enriched dialysate, prepared by adding a Fleet® oral saline laxative preparation (containing NaH2PO4.H2O and Na2HPO4.7H2O) to the “base concentrate” of a dual concentrate, bicarbonate‐based dialysate generating system to obtain a final dialysate containing 3 mg (0.97 mM) of P/dL was used. She underwent 3 subsequent HD sessions using this P‐enriched dialysate, followed by normalization of the serum levels of both lithium and P. Our data suggest that hypophosphatemic patients suffering from severe lithium poisoning requiring intensive HD therapy and becoming more hypophosphatemic as a result of the dialysis treatment can be further dialyzed with a P‐enriched dialysate both to treat the lithium poisoning and to rectify the hypophosphatemia. In general, the use of such dialysates can play an important role in the prevention and treatment of dialysis‐induced hypophosphatemia. Day Length of HD (h) Lithium level predialysis (mM) Lithium level postdialysis (mM) P level in the final dialysate (mg/dL) Serum P level postdialysis (mg/dL) 1 4 (1st session) 3.4 0.87 0 1.8 4 (2nd session) 1.53 0.59 3 3.0 2 4 (3rd session) 1.13 0.59 3 3.3 3 4 (4th session) 0.69 0.52 3 3.4
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".