Assessment of the oral health status of healthcare-seeking adults living with HIV in Kathmandu Valley, Nepal.
Bibliographic record
Abstract
AIMS: This study looks to assess the oral health status in the study subjects and to quantify the prevalence of WHO defined HIV-related oral stage 3 and 4 lesions (HIV-OL) as those conditions are indicating need for treatment independently of CD4 count. METHODS: This quantitative screening study used both structured questionnaire and clinical examination to determine the prevalence of HIV-OL in 83 adults living with HIV randomly selected from a list of service users at a community based HIV organization. RESULTS: The screening revealed a 40 % (95%-CI: 30-51%) prevalence of HIV-OL in this population where 71 are under Antiretroviral Therapy (ART). Most frequent HIV-OL found were persistent oral candidiasis (19% prevalence), and acute necrotizing gingivitis/stomatitis (18% prevalence) Prevalence of HIV-OL was correlating with CD4 count. Patients with multiple HIV-OL have a mean of 133 CD4 cells/μl, patients with a single HIV-OL have 327 CD4 cells/μl and patients without HIV-OL do have a mean of 457CD4 cells/μl (ANOVA-p=0.002). 6 of 12 patients not taking ART yet were found to have stage 3 or 4 HIV-OL. 46 (55%) of the study population had poor or very poor oral hygiene and 29 (35%) had never had an oral examination, 36 (43%) had attended only for extraction. Only 4 of 54 patients who had previously accessed oral health care have revealed their HIV status to the dentist at that time. CONCLUSIONS: Wider access to oral healthcare is required for people living with HIV in Kathmandu Valley/Nepal. In this setting HIV-OL are still an important consideration in assessing patients living with HIV, which can have decisive therapeutic implications. Stage 3 and 4 conditions are, independently of CD4 count, indication to start ART without delay in people living with HIV.
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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 | 0.000 |
| 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".