| Literature DB >> 29130134 |
Darko Antic1,2, Jelena Jelicic3, Goran Trajkovic4, Milena Todorovic Balint3,5, Jelena Bila3,5, Olivera Markovic5,6, Ivan Petkovic7, Vesna Nikolic8, Bosko Andjelic3,5, Vladislava Djurasinovic3,5, Aleksandra Sretenovic3, Mihailo Smiljanic3, Vojin Vukovic3, Biljana Mihaljevic3,5.
Abstract
The prognostic value of the International Prognostic Index (IPI) has been re-evaluated in the rituximab-treated diffuse large B cell lymphoma (DLBCL) patients. Accordingly, National Comprehensive Cancer Network-IPI (NCCN-IPI) has been introduced to estimate prognosis of DLBCL patients. However, comorbidities that frequently affect elderly DLBCL patients were not analyzed. The aim of this study was to evaluate the prognostic significance of comorbidities using Charlson Comorbidity Index (CCI) in 962 DLBCL patients. According to CCI, majority of patients (73.6%) did not have any comorbidity, while high CCI (≥ 2) was observed in 71/962 (7.4%) patients, and in 55/426 (12.9%) of the elderly patients aged ≥ 60 years. When the CCI was analyzed in a multivariate model along with the NCCN-IPI parameters, it stood out as a threefold independent risk factor of a lethal outcome. Also, we have developed a novel comorbidity-NCCN-IPI (cNCCN-IPI) by adding additional 3 points if the patient had a CCI ≥ 2. Four risk groups emerged with the following patient distribution in low, low-intermediate, high-intermediate, and high group: 3.4, 34.3, 49.4, and 12.5%, respectively. The prognostic value of the new cNCCN-IPI was 2.1% improved compared to that of the IPI, and 1.3% improved compared to that of the NCCN-IPI (p < 0.05). This difference was more pronounced in elderly patients, in whom the cNCCN-IPI showed a 5.1% better discriminative power compared to that of the IPI, and 3.6% better compared to the NCCN-IPI. The NCCN-IPI enhanced by the CCI and combined with redistributed risk groups is better for differentiating risk categories in unselected DLBCL patients, especially in the elderly.Entities:
Keywords: Charlson comorbidity index; DLBCL; NCCN-IPI
Mesh:
Year: 2017 PMID: 29130134 DOI: 10.1007/s00277-017-3170-z
Source DB: PubMed Journal: Ann Hematol ISSN: 0939-5555 Impact factor: 3.673