P-435. Prevalence and Risk Factors for <i>Toxoplasma gondii</i> Seropositivity in a Geographically Defined Cohort of Persons with HIV in Southern Alberta, Canada
Bibliographic record
Abstract
Abstract Background New evidence suggests Toxoplasma gondii infection may have inflammatory and neurocognitive effects. Among people with HIV (PWH) with immunosuppression, T. gondii infection can reactivate causing significant morbidity. We aimed to identify the prevalence and risk factors for T. gondii infection among a geographically defined cohort of PWH.Figure 1:The proportion of Toxoplasma seropositive and seronegative tests among people with HIV at Southern Alberta Clinic Methods The Southern Alberta Clinic (SAC) provides centralized HIV care to all PWH in southern Alberta. SAC is linked with a comprehensive database that collects T. gondii serology (IgG) on entry into the cohort. Using this database, we evaluated temporal trends and risk factors for T. gondii infection between January 1st, 1985 and January 6th, 2022. We used Poisson regression models with robust variance to estimate unadjusted and adjusted prevalence ratios (aPR) with 95% confidence intervals (CI) for factors associated with T. gondii seropositivity (vs. seronegativity) among PWH.Figure 2:Toxoplasma seropositivity by country of birth among people with HIV at Southern Alberta Clinic from 1985-2022 Results Among 4,424 PWH receiving care at SAC between 1985-2022, 3,696 (84%) were T. gondii IgG negative and 728 (16%) T. gondii IgG positive at cohort entry. Over time, the prevalence of T. gondii infection has been increasing (Figure 1). In adjusted analyses, T. gondii seropositivity was associated with older age >50 years (vs. < 30 years) at serology testing (aPR: 1.7 [95% CI 1.2-2.5]) and birth outside of North America (vs. birth within North America), Central/South America (aPR: 4.5 [95% CI 2.9-6.7]), Sub-Saharan Africa (aPR: 4.3 [95% CI 2.8-6.5]), and Middle East/Northern Africa (aPR: 3.6 [95% CI 2.0-6.4]) (Figure 2). Conclusion We found an increasing prevalence of T. gondii infection among our population of PWH over time likely associated with a greater proportion of our population being both born outside of North America and age >50 years. Identifying the prevalence and risk factors for T. gondii seropositivity is important for monitoring potential negative outcomes associated with T. gondii infection and risk stratification among PWH. Disclosures All Authors: No reported disclosures
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".