Phosphorus‐enriched hemodialysis during pregnancy: Two case reports
Bibliographic record
Abstract
Successful pregnancy leading to delivery of a viable infant is an uncommon occurrence either in women with established renal disease or in those with renal failure requiring chronic dialytic treatment. The frequency of conception in patients with renal failure has increased, however, and the outcome of such pregnancies has improved over the past 32 years. Current guidelines for dialysis in pregnant women include prolonged dialysis times, generally 20 or more hours per week. This extensive dialysis regimen often results in a decrease in the serum inorganic phosphorus levels, with possible detrimental effects to the health of the mother and the unborn child. In this article, we report the successful multidisciplinary management of two pregnant women with end-stage renal disease, both of whom developed hypophosphatemia after initiation of intensive hemodialysis. Sodium phosphate salts were added to the dialysate of each patient and this addition successfully corrected the decrease in serum inorganic phosphate concentration. One patient was able to carry the pregnancy for 28 weeks with delivery of a healthy 1260-g infant. The pregnancy of the second patient ended at 25 weeks of gestation with delivery of a nonviable infant.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.015 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.005 |
| 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".