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Prognostic factors and prediction of prognosis by the CTCL Severity Index in mycosis fungoides and Sezary syndrome
被引:42
|作者:
Klemke, CD
Mansmann, U
Poenitz, N
Dippel, E
Goerdt, S
机构:
[1] Univ Heidelberg, Dept Dermatol Venerol & Allergol, Univ Med Ctr Mannheim, D-68135 Mannheim, Germany
[2] Univ Munich, Fac Med, Inst Med Biometry & Bioinformat, Munich, Germany
关键词:
CTCL Severity Index;
cutaneous T-cell lymphoma;
prediction of prognosis;
prognostic factors;
survival rate formula;
D O I:
10.1111/j.1365-2133.2005.06676.x
中图分类号:
R75 [皮肤病学与性病学];
学科分类号:
100206 ;
摘要:
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 Sezary 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 Sezary 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.
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页码:118 / 124
页数:7
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