Clinical profile of hospitalized HIV-infected children in Bangladesh, a low-HIV-prevalence country
Bibliographic record
Abstract
BACKGROUND: Bangladesh has a low HIV prevalence and data on the risk factors and clinical presentation of HIV-infected children are lacking. OBJECTIVE: To describe the clinical characteristics of hospitalized HIV-infected children in Bangladesh and determine the factors associated with a low CD4 count. METHODS: An anonymous, retrospective review was undertaken of the medical records of all patients admitted to the HIV unit of the iccdr,b Dhaka Hospital between February 2009 and July 2012. Demographic, clinical and laboratory data were extracted from the electronic medical record system. HIV-infected children with a low absolute CD4 count (<200 cells/μl) were compared with HIV-infected children with a CD4 count ≧200 cells/μl. RESULTS: Of 266 HIV-infected patients, 24 were children (9%), 13 (54%) of whom were male. Ages ranged from 2 to 17 years (median 7). Of the 21 (88%) children who acquired the infection by vertical transmission, median age at diagnosis was 5·2 years, and the parents of 19 (79%) reported a history of external migration. Children commonly presented with prolonged fever (n = 14, 58%), recurrent cough (n = 14, 58%), failure to thrive (n = 11, 46%) and recurrent diarrhoea (n = 4, 17%). Six (25%) patients had tuberculosis, four (16·7%) had herpes zoster and four (16·7%) were diagnosed with Pneumocystis jirovecii pneumonia. One child died during hospitalization. Children with a low CD4 count (<200 cells/μl) more often had severe wasting (95% CI 1·2-453·97) and severe under-nutrition (95% CI 1·39-196·25) than those with a higher CD4 count*. CONCLUSION: The majority of HIV-infected children presenting to an inpatient speciality ward in Dhaka acquired HIV through vertical transmission, and most of the parents had a history of external migration. Further studies are needed to determine the optimal strategy for preventing mother-to-child transmission and for early identification and treatment of HIV-infected children in this low-prevalence country.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".