Macrocytosis is a predictor of resting lactate concentrations in persons on dideoxynucleoside therapy for HIV infection
Bibliographic record
Abstract
OBJECTIVES: Mitochondrial toxicity is an important toxicity of antiretroviral therapy and may manifest as elevated blood lactate. Macrocytosis has been hypothesized to act as a marker of mitochondrial toxicity in persons with HIV infection. As part of a larger study on markers of mitochondrial toxicity we evaluated the relationship between resting lactate and erythrocyte mean corpuscular volume (MCV). METHODS: We studied the effect of micronutrient supplementation on lactate metabolism in three groups: those with HIV on and not on dideoxynucleoside-containing antiretroviral therapy and those without HIV. As part of the study we measured resting lactate and erythrocyte MCV after a 14-h fast. RESULTS: Erythrocyte MCV was significantly higher among the 11 participants on antiviral therapy (109.3 femtoliters (fl)) compared to five controls without HIV (89.3 fl) and four controls with HIV not on antiviral therapy (88.3 fl). In addition a strong predictive relationship was seen between MCV and resting lactate (R(2)=0.548, p<0.01). CONCLUSIONS: Macrocytosis may be a marker of treatment-related mitochondrial dysfunction in persons on treatment for HIV. Evaluating patients for early evidence of mitochondrial dysfunction in resource-constrained settings could be facilitated by this marker.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".