These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Search MEDLINE/PubMed
Title: Prognostic factors and prediction of prognosis by the CTCL Severity Index in mycosis fungoides and Sézary syndrome. Author: Klemke CD, Mansmann U, Poenitz N, Dippel E, Goerdt S. Journal: Br J Dermatol; 2005 Jul; 153(1):118-24. PubMed ID: 16029336. Abstract: BACKGROUND: Cutaneous T-cell lymphoma (CTCL) is a slowly progressive malignancy for which there is no cure. Therefore, accurate prediction of prognosis is important for the conduct of clinical trials and for counselling of individuals. OBJECTIVES: To improve prediction of survival in patients with CTCL. METHODS: Prognostic factors including tumour-node-metastasis (TNM) criteria and the CTCL Severity Index (CTCL-SI) were analysed using a Weibull model for multivariate analysis in a sample of 62 patients with classical CTCL (mycosis fungoides and Sézary syndrome). The Brier score was used to quantify the quality of individual prediction. RESULTS: Estimated 5-year survival rate (SR5) differed according to TNM stage: stage IA, 100% (95% confidence interval 70-100%); IB-III, 86% (73-100%); IVA, 54% (32-91%); IVB, 0% (0-52%). In a multivariate analysis, two independent prognostic factors were identified: lymph node (P = 0.036) and blood involvement (P = 0.015). A probability of survival model showed correlation of CTCL-SI with survival in patients with CTCL-SI > 20 according to the following formula: SR5 = 124-2 x (CTCL-SI)%. Calibration of SR5 against CTCL-SI-independent CTCL subsets revealed underestimation of Sézary syndrome. When CTCL-SI parameters were adjusted accordingly, the probability of survival model did not change significantly, while SR5 values became adequate. In addition, CTCL-SI was shown to be superior to TNM by 30% regarding individual predictive power. CONCLUSIONS: Probability of survival in CTCL can be accurately predicted by a CTCL-SI-based survival rate formula. Careful monitoring of lymph node and blood compartments and quantification by CTCL-SI are reliable tools for follow-up of patients with CTCL and allow progression-adjusted prediction of prognosis.[Abstract] [Full Text] [Related] [New Search]