Life threatening nutritional deficiencies in a dialysis patient
Bibliographic record
Abstract
Nutritional deficiencies are very common among the patient on chronic hemodialysis. But they can be easily overlooked or misdiagnosed. Deficiencies of trace elements and phosphorous is rare among this patient population but if neglected can lead to catastrophic effects. We describe a case report of a patient with ESRD recently started on outpatient maintenance hemodialysis, who presented with life threatening muscular weakness with respiratory failure requiring prolonged mechanical ventilation. On initial workup, it was unclear what the cause of her weakness was, however, further investigations showed undetectable phosphorous levels as well as very low levels of trace elements. Replacement of these compounds to normal levels led to marked improvement in the clinical picture. On further evaluation, the patient was also found to be profoundly depressed with poor appetite even prior to initiation of hemodialysis. This case report highlights the importance of early diagnosis of depression and malnutrition in patients on chronic hemodialysis, as severe depression can contribute to malnutrition and life threatening deficiencies of organic as well as inorganic compounds, which may cause life threatening complications as evidenced in this patient.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".