Transplantation · 2009
Predicting risk of nonmelanoma skin cancer and premalignant skin lesions in renal transplant recipients.
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Urwin Helen R, Jones Peter W, Harden Paul N, Ramsay Helen M, Hawley Carmel M, Nicol David L, Fryer Anthony A
Аннотация
BACKGROUND: Nonmelanoma skin cancer (NMSC) and associated premalignant lesions represent a major complication after transplantation, particularly in areas with high ultraviolet radiation (UVR) exposure. The American Society of Transplantation has proposed annual NMSC screening for all renal transplant recipients. The aim of this study was to develop a predictive index (PI) that could be used in targeted screening.
METHODS: Data on patient demographics, UVR exposure, and other clinical parameters were collected on 398 adult recipients recruited from the Princess Alexandra Hospital, Brisbane. Structured interview, skin examination, biopsy of lesions, and review of medical/pathologic records were performed. Time to presentation with the first NMSC was assessed using Cox's regression models and Kaplan-Meier estimates used to assess detection of NMSC during screening.
RESULTS: Stepwise selection identified age, outdoor UVR exposure, living in a hot climate, pretransplant NMSC, childhood sunburning, and skin type as predictors. The PI generated was used to allocate patients into three screening groups (6 months, 2 years, and 5 years). The survival curves of these groups were significantly different (P<0.0001). Jack-knife validation correctly allocated all patients into the appropriate group.
CONCLUSION: We have developed a simple PI to enable development of targeted NMSC surveillance strategies.
METHODS: Data on patient demographics, UVR exposure, and other clinical parameters were collected on 398 adult recipients recruited from the Princess Alexandra Hospital, Brisbane. Structured interview, skin examination, biopsy of lesions, and review of medical/pathologic records were performed. Time to presentation with the first NMSC was assessed using Cox's regression models and Kaplan-Meier estimates used to assess detection of NMSC during screening.
RESULTS: Stepwise selection identified age, outdoor UVR exposure, living in a hot climate, pretransplant NMSC, childhood sunburning, and skin type as predictors. The PI generated was used to allocate patients into three screening groups (6 months, 2 years, and 5 years). The survival curves of these groups were significantly different (P<0.0001). Jack-knife validation correctly allocated all patients into the appropriate group.
CONCLUSION: We have developed a simple PI to enable development of targeted NMSC surveillance strategies.