Variation of Biological and Biochemical Parameters in Patients Receiving Antiretroviral Treatment at the Maradi Regional Hospital during 2021-2022
Bibliographic record
Abstract
Aims: To follow the variation of some biological and biochemical parameters in HIV-infected patients under antiretroviral treatment at the Maradi Regional Hospital. Study Design: Retrospective and prospective study Study Location and Duration: Maradi Regional Hospital; from August 2021 to April 2021, a duration of 9 months. Methodology: We followed the variation of some immunological and biochemical parameters in patients living with HIV, evaluated the CD4+ T cell counts, the viral load, the leukocyte count, and carried out the measurement of haemoglobin, glycaemia, creatinemia, and ALAT levels in the blood at the follow-up visits (month 0 (M0), month 3 (M3), and month 6 (M6)), except for the viral load and CD4+ T-cell counts, which were measured at M0 and M6, and the HBsAg test at M0. Results: 99 patients were included in this study. The sex ratio was 2.6 in favour of females. At enrolment, 63.6% of patients had a CD4+ T-cell count < 200/mm³, 56.6% had anaemia, 40.4% had hypoglycaemia and there was a significant increase in patients with an undetectable viral load from enrolment to the last visit at M6. At the end of the study, we observed an improvement in CD4+ T-cell counts, haemoglobin, glycaemia and viral load at each subsequent visit. We did not observe any significant evolution of creatinemia and alanine aminotransferase rate. Conclusion: At the end of the study, we observed an improvement in CD4+ T-cell count, glycaemia, haemoglobin and viral load. We did not observe any particular change in the biochemical parameters of creatinemia and ALAT levels. This shows the non-toxicity of the antiretroviral treatments. Finally, we observed some difficulties in our study which deserve to be improved.
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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 | 0.000 | 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".