Impact of hepatitis C cure on risk of mortality and morbidity in people with HIV after antiretroviral therapy initiation
Bibliographic record
Abstract
OBJECTIVE: Hepatitis C virus (HCV) co-infection is associated with increased morbidity and mortality in people with HIV (PWH). Sustained virological response (SVR) decreases the risk of HCV-associated morbidity. We compared mortality, risk of AIDS-defining events, and non-AIDS nonliver (NANL) cancers between HCV-co-infected PWH who reached SVR and mono-infected PWH. DESIGN: Adult PWH from 21 cohorts in Europe and North America that collected HCV treatment data were eligible if they were HCV-free at the time of ART initiation. METHODS: Up to 10 mono-infected PWH were matched (on age, sex, date of ART start, HIV acquisition route, and being followed at the time of SVR) to each HCV-co-infected PWH who reached SVR. Cox models were used to estimate relative hazards (hazard ratio) of all-cause mortality, AIDS-defining events, and NANL cancers after adjustment. RESULTS: Among 62 495 PWH, 2756 acquired HCV, of whom 649 reached SVR. For 582 of these, at least one mono-infected PWH could be matched, producing a total of 5062 mono-infected PWH. The estimated hazard ratios comparing HCV-co-infected PWH who reached SVR with mono-infected PWH were 0.29 [95% confidence interval (CI) 0.12-0.73] for mortality, 0.85 [0.42-1.74] for AIDS-defining events, and 1.21 [0.86-1.72] for NANL cancer. CONCLUSION: PWH who reached SVR a short time after HCV acquisition were not at higher risk of overall mortality compared with mono-infected PWH. However, the apparent higher risk of NANL cancers in HCV-co-infected PWH who reached SVR after a DAA-based treatment compared with mono-infected PWH, though compatible with a null association, suggests a need for monitoring of those events following SVR.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
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 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".