Queilite actínica: índice de análise clínica

• Ano de defesa: 2018
• Autor(a) principal: Medeiros, Cristianne Kalinne Santos
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Brasil; UFRN; PROGRAMA DE PÓS-GRADUAÇÃO EM PATOLOGIA ORAL
• Palavras-chave em Português: Queilite actínica; Queilose solar; Lábio; Carcinogênese; CNPQ::CIENCIAS DA SAUDE: PATOLOGIA ORAL
• Link de acesso: https://repositorio.ufrn.br/jspui/handle/123456789/25316

Introduction: Actinic cheilitis (AC) is an inflammatory condition of the lips caused by chronic exposure to ultraviolet radiation and it is considered a potentially malignant disorder by the World Health Organization (WHO). Objective: develop and test a clinical index for Actinic Cheilitis (ACCI). Methodology: Based on a literature review, a questionnaire composed by 35 clinical characteristics of the AC was elaborated, which were selected and associated with a clinical severity score by a group of 52 surgeon-dentists. After establishing exclusion criteria, 16 characteristics were selected to compose the index. Twenty patients were selected to compose our sample after application the ACCI and incisional biopsy. The biopsied specimens were classified according to the histopathological grading for oral epithelial dysplasia of the WHO (EL-NAGGAR et al., 2017) and the Binary System (KUJAN et al., 2006). The association between the clinical characteristics and the grade of histopathological severity of the lesion was analyzed using Fisher's Exact Test (p <0.05). The precision of the index was tested based on the percentage of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy and ROC curve to cut-off points 5, 7, 9, and 11. Results: There was a prevalence of males (80 (90%), whites (90%), with occupational sun exposure (75%). The most frequent clinical characteristics were loss of lip / skin demarcation (100%), dryness (85%), white spot (80%) and flaking (65%). There wasn`t statistically significant association between the clinical characteristics of AC and histopathological gradations analyzed. The cut-off point that presented the best performance for the ROC curve and the highest percentage for specificity, PPV and accuracy was the value 11. Conclusion: The cut-off point 11 obtained the best precision for the ACCI, and this index value was indicated for biopsy, since it presented smaller number of false-positive individuals according to the two histopathological grading analyzed.