The Association of Anemia With Survival Among People With HIV Following Antiretroviral Initiation in the NA-ACCORD 2007–2016
Bibliographic record
Abstract
BACKGROUND: Anemia is an independent predictor of mortality, which may be utilized as a signal of deteriorating health. We estimated the association between anemia severity categories and mortality following the initiation of antiretroviral therapy (ART) among people with HIV (PWH) in North America. METHODS: Within the NA-ACCORD, annual median hemoglobin measurements between January 01, 2007, and December 31, 2016, were categorized using World Health Organization criteria into mild (11.0-12.9 g/dL men, 11.0-11.9 g/dL women), moderate (8.0-10.9 g/dL men/women), and severe (<8.0 g/dL men/women) anemia. Discrete time-to-event analyses using complementary log-log link models estimated mortality hazard ratios adjusted for demographics, comorbidities, and HIV clinical markers with 95% confidence intervals for the association between anemia and mortality. RESULTS: Among 67,228 PWH contributing a total of 320,261 annual median hemoglobin measurements, 257,293 (80%) demonstrated no anemia, 44,041 (14%) mild, 18,259 (6%) moderate, and 668 (0.2%) severe anemia during follow-up. Mortality risk was 5.6-fold higher among PWH with (vs. without) anemia. The association was greater among men (adjusted hazard ratios = 5.8 [5.4, 6.2]) versus women (adjusted hazard ratios = 4.1 [3.2, 5.4]). Mortality risk was 3.8-fold higher among PWH with mild anemia, 13.7-fold higher with moderate anemia, and 34.5-fold higher with severe anemia (vs. no anemia). Median hemoglobin levels decreased significantly in the 4 years before death, with a maximum decrease in the year before death. Macrocytic anemia was associated with an increased mortality risk and microcytic anemia was associated with a decreased mortality risk (vs. normocytic anemia). CONCLUSIONS: Anemia among PWH who have initiated ART is an important predictive marker for mortality with macrocytic anemia having an increased association and microcytic anemia having a decreased association with mortality compared with normocytic anemia.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".