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Published on: October 31, 2010
Assessing the predictive value of HIV indicator conditions in general practice: a case-control study using the THIN
Sarah Damery1, Linda Nichols, Roger Holder
1Primary Care Clinical Sciences, University of Birmingham, Edgbaston, West Midlands, B15 2TT. s.l.damery@bham.ac.uk
Summary
Many HIV cases lack typical symptoms, highlighting the need for broader testing. Bacterial pneumonia and oral candidiasis are strong indicators of undiagnosed HIV infection in primary care settings.
Area of Science:
- Clinical Medicine
- Epidemiology
- Public Health
Background:
- UK HIV guidelines list 37 indicator conditions for adult HIV testing.
- Limited data exist on the predictive value of these conditions for identifying undiagnosed HIV.
Purpose of the Study:
- To identify symptoms and clinical diagnoses associated with HIV infection.
- To assess the relative importance of these indicators in identifying HIV cases using primary care data.
Main Methods:
- A case-control study was conducted using The Health Improvement Network (THIN) database.
- 939 HIV-positive cases were matched with 2576 controls.
- Statistical analysis determined the incidence and predictive value (odds ratios) of 37 indicator conditions.
Main Results:
- Twelve indicator conditions were significantly associated with HIV infection.
- 74.2% of HIV cases presented with none of the listed indicator conditions before diagnosis.
- Bacterial pneumonia (OR=47.7) and oral candidiasis (OR=29.4) showed the strongest association with HIV.
Conclusions:
- This study quantifies the predictive value of clinical diagnoses for HIV in primary care.
- Findings can help general practitioners (GPs) identify at-risk individuals for targeted HIV testing.
