Asymptomatic Bacteremia in Children Infected with Human Immunodeficiency Virus in Calabar, South-South, Nigeria
Bibliographic record
Abstract
Background: Asymptomatic Human Immunodeficiency Virus (HIV) infected children are prone to serious bacterial infection as a result of poor immunity. Objective: This was to determine the common pathogenic organisms responsible for bacteremia among asymptomatic HIV infected children attending the outpatient clinics at the University of Calabar Teaching Hospital, Nigeria. Subjects and Methods: This prospective non randomized cross-sectional study was conducted over 6months from January 1st to 30th June 2014 among cohorts of HIV infected Anti-retroviral (ARV) naive and experienced children attending the clinic. Ethical approval was obtained from the ethical committee of the institution. Blood culture specimens were collected from all HIV infected patients who met the criteria for enrollment. All specimens with isolated bacteria organisms were treated with antibiotics according to the sensitivity pattern, in addition to administered Anti-retroviral drugs. Results: Out of the total of 109 patients recruited, 38(34.9%) had bacteremia. There were more males (57.9%), and most of them (63.2%) had Highly Active Anti-Retroviral Therapy (HAART) for more than 24weeks. Bacteremia was inversely proportional to the CD4 count. The commonest organism isolated was unclassified Coliforms (47.3%) followed by Staphyloccocus aureus (39.5%). Conclusions: HIV infected children are prone to bacteremia especially among those with low CD4 count. Coliform was the commonest organism isolated. We recommend that HIV infected children be routinely investigated for bacteremia.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".