When entering the AJCC model together with our proposed model into a multivariate analysis, the prognostic index of LDH, neutrophils and performance status remained highly statistically significant through all levels (P<0.001), while the AJCC classification (P=0.26) had no independent prognostic impact (Table 3).
Multivariate analysis showed that prognostic index was an independent prognostic factor for PFS time (HR, 1.64; 95% CI, 1.27 2.13, p = 0.0001).
In multivariate analysis the Nottingham Prognostic Index (NPI) derived from these features showed highly significant association with survival (P< 0.001).
In an external dataset, multivariate analysis revealed that this prognostic index was significantly correlated with PFS time (HR, 1.54; 95% CI, 1.20 1.98; p = 0.0008).
Staining results were correlated with outcome.In anthracycline-treated patients, LMO2 protein expression was significantly correlated with improved overall survival (OS) and progression-free survival (PFS) in univariate analyses (OS, P =.018; PFS, P =.010) and was a significant predictor independent of the clinical International Prognostic Index (IPI) in multivariate analysis.
Furthermore, We then evaluated the prognostic index in the multivariate Cox proportional hazard model using JMP version 6 (SAS Institute, Cary, NC, USA).
Multivariate analysis identified BS and the prognostic index for PTCL (PIT) score as independent prognostic factors.
Similar results were obtained in multivariate analysis adjusted on the Nottingham Prognostic Index (NPI) (Table 3).
Univariate and multivariate analyses were performed and a prognostic index was formulated.
The multivariate analysis is adjusted for Nottingham Prognostic Index (NPI) (nodes, grade and size) and treatment (tamoxifen/chemotherapy/none).
