Epidemiology of autoimmune and inflammatory diseases in a French nationwide HIV cohort
Bibliographic record
Abstract
BACKGROUND: HIV infection and inflammatory and autoimmune diseases (IADs) are both related to immune dysfunction. Epidemiological data on IAD in patients living with HIV (PLHIV) are scarce. The aim of this study was thus to estimate the prevalence of 26 IAD among PLHIV followed in a large French multicenter cohort in the combination antiretroviral therapy (cART) era (from January 2000 to July 2013), and to describe their occurrence according to cART onset, the immuno-virological status of patients and hepatitis C virus (HCV) and/or hepatitis B virus coinfection. METHOD AND RESULTS: During the study period, 33 403 PLHIV were included in the Dat'AIDS cohort; 1381 patients with an IAD were identified. The most prevalent IADs were psoriasis, sarcoidosis, rheumatoid arthritis, ankylosing spondyloarthritis, Grave's disease, autoimmune hemolytic anemia, immune thrombocytopenia and chronic inflammatory bowel disease. In contrast, the prevalence of systemic lupus erythematosus and multiple sclerosis were low. Most patients (59%) developed IAD after HIV infection with a mean delay of 10.6 ± 6.4 years. Compared with the entire cohort, HCV coinfection was significantly more frequent in patients with psoriasis, Grave's disease and immune thrombocytopenia, and chronic hepatitis B in patients was more frequent in those with immune thrombocytopenia and autoimmune hemolytic anemia. Among patients developing IAD after the diagnosis of HIV infection, 572 (70%) were on antiretroviral therapy and 419 of them (73%) had undetectable HIV viral load. CONCLUSION: Our study showed that some IAD are not rare among PLHIV and occur mostly in patients with immuno-virological control under cART. The higher frequency of HCV or hepatitis B virus coinfection for some IAD is also confirmed.
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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 | 0.001 |
| 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 | 0.000 |
| 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".