Characterization of people living with HIV in a Montreal-based tertiary care center with COVID-19 during the first wave of the pandemic
Bibliographic record
Abstract
People living with HIV (PLWH) often have worse health outcomes compared to HIV-uninfected individuals. We characterized PLWH followed at a tertiary care clinic in Montreal who acquired COVID-19 and described their outcomes during the first wave of the pandemic. A retrospective chart review was performed for PLWH followed at the Chronic Viral Illness Service with a positive COVID-19 nasopharyngeal PCR or symptoms suggestive of COVID-19 between 1 March and 15 June 2020. Data on demographics, socioeconomic status, co-morbidities and severity of COVID-19 and outcomes were extracted. Of 1702 individuals, 32 (1.9%) had a positive COVID-19 test (n = 24) or symptoms suspicious for COVID-19 (n = 3). Median age was 52 years [IQR 40, 62]. Nearly all (97%) earned $34,999 Canadian dollars or less. Eleven (34%) individuals worked in long-term care (LTC) homes while 5 (6%) lived in LTC homes. Median CD4 count was 566 cells/mm3 [347, 726] and six had detectable plasma HIV viral loads. Median duration of HIV was 17 years [7, 22] and 30 individuals had been prescribed antiretroviral therapy. Five persons were asymptomatic. Of symptomatic persons, 21 (12%), 1 (4%) and 3 (12%) individuals had mild, moderate and severe disease, respectively. Three individuals died with COVID-19. In one case, the cause of death was due to COVID-19, whereas in the other two cases, the individuals died with positive COVID-19 test results but the immediate cause of death is unclear. PLWH who tested positive for COVID-19 had low socioeconomic status and had employment or living conditions that put them at high risk. PLWH may be disproportionately impacted by the social determinants of health which predispose them to COVID-19.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".