Impacto en el monitoreo de carga viral de VIH en el laboratorio del Hospital Nacional Sergio E. Bernales 2019-2021
Bibliographic record
Abstract
The objective of this study was to determine the impact of monitoring the HIV viral load in the Laboratory of the Sergio E. Bernales National Hospital during the period 2019 to 2021. A descriptive, quantitative, observational, retrospective, comparative, and analytical study was carried out. We worked with 490 patients who had follow-up viral load. The findings revealed a predominance of males with 64% of HIV cases and 36% of females. During the monitoring period, 14.9% of the patients were admitted as new HIV cases, while 8% started antiretroviral treatment (ART). Regarding the viral load results, 14.9% of the patients had a viral load greater than 1000 copies/ml, 5 patients had between 200 and 1000 cp/ml. 70 patients had a viral load greater than 40 to ≤ 1000 cp/mL, 173 patients had a viral load less than 40 cp/mL, and 174 patients had an undetectable viral load. At the end of the monitoring study, a statistical significance of 0.00 and a Pearson correlation coefficient of 0.450 were found, indicating a weak to moderate correlation between the final viral load and the monitoring result. These findings highlight the crucial importance of timely monitoring of viral load in patients with HIV. It was evidenced that 38.3% of the patients who had adequate viral load follow-up achieved viral suppression, 43.5% maintained viral suppression, 14.9% experienced virological failure, and 1% presented resistant viremia.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".