Profil clinicobiologique, thérapeutique et évolutif des patients infectés par le VIH hospitalisés au service des maladies infectieuses et tropicales d’Abidjan (Côte d’Ivoire)
Bibliographic record
Abstract
The objective of this study is to describe the clinical, biological, therapeutic and evolving current profile of hospitalized patients with HIV infection in the cohort of the Infectious and Tropical Diseases Unit (ITDU) in the aim to improve their care management. This is a retrospective study, conducted on medical data of hospitalized cases of patients with HIV infection in the ITDU at the teaching hospital of Treichville (Abidjan) from 2006 to 2007. During the two years, 447 patients were included in the study. Their average age was 39 years [18 years-86 years] and sex ratio was 0.69. Of the 447 patients, 35% were unemployed and 67% were new patients who had never undergone antiretroviral therapy (ART). The duration of drug exposure was less than 6 months in 59% of treated patients. The average time to initiate ART was seven weeks. Among naive patients 41.9% were lost to follow up, 35.9% were waiting for treatment and 22.1% waiting for baseline biological test to initiate ART. At the initiation of ART, 79.6% of patients had a CD4 count less than 200/mm(3). The reasons of hospitalization defining AIDS were dominated by tuberculosis (34.2%), cerebral toxoplasmosis (17.9%) and neuromeningeal cryptococcosis (8%). The main reasons of hospitalization in classifying non-AIDS were pyelonephritis (6.5%), bacterial pneumonia (5.4%) and undetermined infectious encephalitis (4.9%). Hospital mortality was 24.4%. The leading causes of death were tuberculosis (22.9%), cerebral toxoplasmosis (20.2%), undetermined infectious encephalitis (18.3%) and cryptococcal meningitis (13.7%). The profile of PLHIV in hospital is characterized by profound immunosuppression due to late diagnosis and high mortality associated with severe opportunistic infections and late initiation of ART.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".