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1.
Community Dent Oral Epidemiol ; 29(5): 362-72, 2001 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-11553109

RESUMEN

OBJECTIVE: To determine if medical clinicians are as accurate as dental clinicians in recognizing diagnostic characteristics of HIV-related oral lesions. METHODS: In 355 HIV-infected participants at five Women's Interagency HIV Study sites, we paired oral examinations conducted within 7 days of each other by dental and medical clinicians. We used the former as a gold standard against which to evaluate the accuracy of the latter. We assessed the accuracy of the medical clinicians' findings based both on their observations of abnormalities and on their descriptions of these abnormalities. RESULTS: Dental clinicians diagnosed some oral abnormality in 38% of participants. When "abnormality" was used as the medical clinicians' outcome, sensitivities were 75% for pseudomembranous candidiasis and 58% for erythematous candidiasis, but only 40% for hairy leukoplakia. When a precise description of the abnormality was used as their outcome, sensitivities were 19%, 12% and 20%, respectively. CONCLUSIONS: Medical clinicians recognize that HIV-related oral abnormalities are present in 40-75% of cases, but less often describe them accurately. Low sensitivity implies that the true associations of specific oral lesions with other HIV phenomena, such as time until AIDS, must be stronger than the literature suggests.


Asunto(s)
Errores Diagnósticos/estadística & datos numéricos , Infecciones por VIH/complicaciones , Enfermedades de la Boca/complicaciones , Enfermedades de la Boca/diagnóstico , Médicos , Infecciones Oportunistas Relacionadas con el SIDA/diagnóstico , Infecciones Oportunistas Relacionadas con el SIDA/epidemiología , Adolescente , Adulto , Recuento de Linfocito CD4 , California/epidemiología , Candidiasis Bucal/complicaciones , Candidiasis Bucal/diagnóstico , Candidiasis Bucal/epidemiología , Chicago/epidemiología , Odontólogos , District of Columbia/epidemiología , Femenino , VIH-1 , Humanos , Leucoplasia Bucal/complicaciones , Leucoplasia Bucal/diagnóstico , Leucoplasia Bucal/epidemiología , Modelos Logísticos , Persona de Mediana Edad , Enfermedades de la Boca/epidemiología , Ciudad de Nueva York/epidemiología , Oportunidad Relativa , Sensibilidad y Especificidad
2.
J Am Acad Dermatol ; 44(5): 785-8, 2001 May.
Artículo en Inglés | MEDLINE | ID: mdl-11312425

RESUMEN

OBJECTIVE: We attempted to determine the prevalence and predictors of skin disease in a cohort of women with and at risk for HIV infection. METHODS: We analyzed baseline data from a multicenter longitudinal study of HIV infection in women. RESULTS: A total of 2018 HIV-infected women and 557 HIV-uninfected women were included in this analysis. Skin abnormalities were reported more frequently among HIV-infected than uninfected women (63% vs 44%, respectively; odds ratio [OR] 2.10; 95% confidence interval [95% CI], 1.74-2.54). Infected women were also more likely to have more than 2 skin diagnoses (OR, 3.27; 95% CI, 1.31-8.16). Folliculitis, seborrheic dermatitis, herpes zoster, and onychomycosis were more common among HIV-infected women (P < .05). Independent predictors of abnormal findings on skin examination in the infected women were African American race (OR, 1.38; 95% CI, 1.07-1.77), injection drug use (OR, 2.74; 95% CI, 2.11-3.57), CD4(+) count less than 50 (OR, 1.68; 95% CI, 1.17-2.42), and high viral loads (100,000-499,999 = OR, 1.77; 95% CI, 1.32-2.37; > 499,999 = OR, 2.15; 95% CI, 1.42-3.27). CONCLUSION: HIV infection was associated with a greater number of skin abnormalities and with specific dermatologic diagnoses. Skin abnormalities were also more common among women with CD4(+) cell depletion or higher viral load.


Asunto(s)
Infecciones por VIH/complicaciones , Enfermedades de la Piel/complicaciones , Enfermedades de la Piel/epidemiología , Adolescente , Adulto , Estudios de Cohortes , Femenino , Humanos , Estudios Longitudinales , Persona de Mediana Edad , Prevalencia , Estados Unidos/epidemiología , Carga Viral , Salud de la Mujer
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