A prospective study of the immune reconstitution inflammatory syndrome (IRIS) in HIV-infected children from high prevalence countries
Bibliographic record
Abstract
BACKGROUND: The immune reconstitution inflammatory syndrome (IRIS) in HIV-infected infants and young children is relatively understudied in regions endemic for HIV and TB. We aimed to describe incidence, clinical features and risk factors of pediatric IRIS in Sub-Saharan Africa and India. METHODS AND FINDINGS: We conducted an observational multi-centred prospective clinical study from December 2010 to September 2013 in children <72 months of age recruited from public antiretroviral programs. The main diagnostic criterion for IRIS was a new or worsening inflammatory event after initiating antiretroviral therapy (ART). Among 198 participants, median age 1.15 (0.48; 2.21) years, 38 children (18.8%) developed 45 episodes of IRIS. Five participants (13.2%) had two IRIS events and one (2.6%) had 3 events. Main causes of IRIS were BCG (n = 21; 46.7%), tuberculosis (n = 10; 22.2%) and dermatological, (n = 8, 17.8%). Four TB IRIS cases had severe morbidity including 1 fatality. Cytomegalovirus colitis and cryptococcal meningitis IRIS were also severe. BCG IRIS resolved without pharmacological intervention. On multivariate logistic regression, the most important baseline associations with IRIS were high HIV viral load (likelihood ratio [LR] 10.629; p = 0.0011), recruitment at 1 site (Stellenbosch University) (LR 4.01; p = 0.0452) and CD4 depletion (LR 3.4; p = 0.0654). Significantly more non-IRIS infectious and inflammatory events between days 4 and 17 of ART initiation were noted in cases versus controls (35% versus 15.2%: p = 0.0007). CONCLUSIONS: IRIS occurs commonly in HIV-infected children initiating ART and occasionally has severe morbidity. The incidence may be underestimated. Predictive, diagnostic and prognostic biomarkers are needed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".