Mortality in hepatitis C virus-cured vs. hepatitis C virus-uninfected people with HIV
Bibliographic record
Abstract
OBJECTIVE: It is unknown whether hepatitis C virus (HCV)-cured people with HIV (PWH) without cirrhosis reached the same mortality risk as HCV-uninfected PWH. We aimed to compare mortality in PWH cured of HCV by direct-acting antivirals (DAAs) to mortality in individuals with HIV monoinfection. DESIGN: Nationwide hospital cohort. METHODS: HIV-controlled participants without cirrhosis and HCV-cured by DAAs started between September 2013 and September 2020, were matched on age (±5 years), sex, HIV transmission group, AIDS status, and body mass index (BMI) (±1 kg/m 2 ) to up to 10 participants with a virally suppressed HIV monoinfection followed at the time of HCV cure ±6 months. Poisson regression models with robust variance estimates were used to compare mortality in both groups after adjusting for confounders. RESULTS: The analysis included 3961 HCV-cured PWH (G1) and 33 872 HCV-uninfected PWH (G2). Median follow-up was 3.7 years in G1 [interquartile range (IQR): 2.0-4.6], and 3.3 years (IQR: 1.7-4.4) in G2. Median age was 52.0 years (IQR: 47.0-56.0), and 29 116 (77.0%) were men. There were 150 deaths in G1 [adjusted incidence rate (aIR): 12.2/1000 person-years] and 509 (aIR: 6.3/1000 person-years) in G2, with an incidence rate ratio (IRR): 1.9 [95% confidence interval (CI), 1.4-2.7]. The risk remained elevated 12 months post HCV cure (IRR: 2.4 [95% CI, 1.6-3.5]). Non-AIDS/non-liver-related malignancy was the most common cause of death in G1 (28 deaths). CONCLUSIONS: Despite HCV cure and HIV viral suppression, after controlling on factors related to mortality, DAA-cured PWH without cirrhosis remain at higher risk of all-cause mortality than people with HIV monoinfection. A better understanding of the determinants of mortality is needed in this population.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| 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 | 0.002 |
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; both teacher heads agree on what is shown here.
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".