Myelodysplastic Syndrome and Hemoglobin Improved by Intravenous Nutrient Therapy: A Case Report
Bibliographic record
Abstract
Myelodysplastic syndromes (MDSs) are variations of bone marrow failure disorders that lead to insufficient production of healthy blood cells culminating in some combination of low red blood cells, low white cells, or both. This case report presents a case of increased hemoglobin levels following intravenous (IV) nutrient therapy. J.B. is a 74-year-old male who presented with a chief concern of MDS. He was experiencing extreme fatigue and exhaustion, episodes of shortness of breath and a decline in hemoglobin levels. He was being followed by a hematologist who monitored his complete blood count (CBC) at regular intervals, with primary focus on blood hemoglobin. His hemoglobin levels were significantly lower than the normal range, but never met the threshold for a blood transfusion (< 75 g/dL), his only treatment option. Beginning in November 2021, weekly to biweekly IV nutrient therapy treatments were initiated. In all, 39 IV treatments were given until August 2023. Intravenous nutrient formulas included Myer’s Cocktail, high-dose vitamin C (25 g), Hydrating Myer’s Cocktail and Hydrating Myer’s Cocktail + glutathione. As IV treatments were administered, a trend was observed showing a consistent improvement of hemoglobin levels over time, with the greatest degree of improvement observed after the series of Hydrating Myer’s Cocktails. The patient also reported decreased overall fatigue and reduced recovery time from activity. Delivering a series of IV infusions may have resulted in an improvement of hemoglobin levels in this patient. Further investigation is warranted to understand the potential effects IV nutrient therapy could have on MDS patients with a similar prognosis.
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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) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.004 |
| 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".