Agreement between self-reported knowledge and medical record data.

People living with HIV (PLWH) see their providers quarterly to go over their laboratory results and discuss problems with antiretroviral treatment (ART) regimens. Our purpose was to determine whether socially and economically marginalized PLWH were accurate in self-reporting their most recent CD4 count, viral load, and ART regimen, and whether demographic differences influenced self-reporting. We conducted a secondary data analysis based on results from (N = 200) PLWH. We found moderate agreement for CD4 count (k = .58), and viral load (k = .43), but only 43% were able to recall their ART regimens accurately. PLWH ≥ age 50 (k = .77) and those with health insurance coverage (k = .61) were more accurate to self-report CD4. Women were more accurate in reporting viral load than men (k = .53, p = .003 vs. k = .38). These findings suggest that PLWH need multiple modalities of education to relate CD4 counts, viral load, and ART regimens to their personal health understanding.

Genetic predictors of cardiovascular disease: the use of chip technology.

Cardiovascular disease, a primary cause of mortality in the United States, has a complex pathologic process involving many genes. The high-throughput technology (microarray or "DNA chip") used to decipher the human genome is now being employed to identify key genes in its development. A study focusing on candidate genes associated with premature cardiovascular disease discovered that missense variations in the thrombospondin 1 and 4 genes were associated with premature coronary artery disease, while a mutation in the non-coding region of a thrombospondin 2 gene imparts protection from developing heart disease. Although the clinical implications of microarray technology are still under investigation, this research may lead to a diagnostic test to determine a patient's risk for developing heart disease.