Higher Time-Updated Body Mass Index: Association With Improved CD4+ Cell Recovery on HIV Treatment
Bibliographic record
Abstract
BACKGROUND: Prior studies found overweight or obese HIV-infected individuals had greater early CD4 cell recovery on antiretroviral therapy (ART), but the results have been inconsistent. We assessed the longitudinal relationship between body mass index (BMI) and CD4 cell recovery on ART in a large, multisite cohort to identify potential physiologic links between adiposity and CD4 cell expansion. METHODS: We modeled the relationship of time-updated BMI with CD4 count in patients starting ART from 17 North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD) cohorts. The primary analysis used a linear mixed effects model incorporating up to 13 years of data per patient and adjusted for age, sex, race, ART regimen, baseline CD4 count and other covariates. Sensitivity analyses limited the cohort to patients with sustained viral suppression or censored at virologic failure. RESULTS: Fourteen thousand eighty-four HIV-infected individuals initiating ART contributed data between 1998 and 2010. Time-updated BMI was significantly associated with CD4 cell recovery over time (P < 0.001). After 5 years of ART, the mean CD4 count at a BMI of 30 kg/m was 22% higher than at a BMI of 22 kg/m (606 vs. 498 cells per microliter) and 34% higher at a BMI of 40 kg/m (665 vs. 498 cells per microliter). Results were similar in the sensitivity analyses. DISCUSSION: Higher BMI is associated with long-term advantages in immune recovery on ART. Although it is unclear if this impacts health outcomes, including balancing the negative health effects of obesity, elucidating the underlying mechanism could identify therapies for patients with suboptimal immune reconstitution.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".