Abstract:Obesity was recently reported to confer a survival advantage in diffuse large B cell lymphoma (DLBCL) among Western populations. Given ethnic differences, previous studies recommended a revision of the WHO classification of obesity for Asians. We investigated the prognostic impact of body mass index (BMI) using modified WHO criteria in a retrospective cohort of 562 Korean patients with DLBCL. Patients were categorized into five groups according to BMI: 26 (4.6 %) as underweight (<18.5 kg/m(2)), 230 (40.9 %) as… Show more
“…Hwang et al found that being underweight or severely obese has a deleterious prognostic impact in DLBCL [25]. Consistent with the findings of several previous studies [6–10], we found that higher BMI is an independent prognostic factor for longer PFS and OS.…”
Section: Discussionsupporting
confidence: 92%
“…Most authors have used the WHO classification of obesity to distinguish between BMI groups [7, 13, 25, 26]. In contrast, Park et al [9] and Weiss et al [10] used dichotomized classification schemes with cutoffs of 20.0 and 25.0 kg/m 2 , respectively.…”
Objectives: The role of body mass index (BMI) in lymphoma survival outcomes is controversial. The prognostic significance of BMI in extranodal natural killer (NK)/T-cell lymphoma (ENKTL) is unclear. We evaluated the prognostic role of BMI in patients with ENKTL.Methods: We retrospectively analyzed 742 patients with newly diagnosed ENKTL. The prognostic value of BMI was compared between patients with low BMIs (< 20.0 kg/m2) and patients with high BMIs (≥ 20.0 kg/m2). The prognostic value of the International Prognostic Index (IPI) and the Korean Prognostic Index (KPI) was also evaluated and compared with that of the BMI classification.Results: Patients with low BMIs tended to exhibit higher Eastern Cooperative Oncology Group performance status (ECOG PS) scores (≥ 2) (P = 0.001), more frequent B symptoms (P < 0.001), lower albumin levels (P < 0.001), higher KPI scores (P = 0.03), and lower rates of complete remission (P < 0.001) than patients with high BMIs, as well as inferior progression-free survival (PFS, P = 0.003), and inferior overall survival (OS, P = 0.001). Multivariate analysis demonstrated that age > 60 years, mass > 5 cm, stage III/IV, elevated LDH levels, albumin levels < 35 g/L and low BMIs were independent adverse predictors of OS. The BMI classification was found to be superior to the IPI with respect to predicting patient outcomes among low-risk patients and the KPI with respect to distinguishing between intermediate-low- and high-intermediate-risk patients.Conclusions: Higher BMI at the time of diagnosis is associated with improved overall survival in ENKTL. Using the BMI classification may improve the IPI and KPI prognostic models.
“…Hwang et al found that being underweight or severely obese has a deleterious prognostic impact in DLBCL [25]. Consistent with the findings of several previous studies [6–10], we found that higher BMI is an independent prognostic factor for longer PFS and OS.…”
Section: Discussionsupporting
confidence: 92%
“…Most authors have used the WHO classification of obesity to distinguish between BMI groups [7, 13, 25, 26]. In contrast, Park et al [9] and Weiss et al [10] used dichotomized classification schemes with cutoffs of 20.0 and 25.0 kg/m 2 , respectively.…”
Objectives: The role of body mass index (BMI) in lymphoma survival outcomes is controversial. The prognostic significance of BMI in extranodal natural killer (NK)/T-cell lymphoma (ENKTL) is unclear. We evaluated the prognostic role of BMI in patients with ENKTL.Methods: We retrospectively analyzed 742 patients with newly diagnosed ENKTL. The prognostic value of BMI was compared between patients with low BMIs (< 20.0 kg/m2) and patients with high BMIs (≥ 20.0 kg/m2). The prognostic value of the International Prognostic Index (IPI) and the Korean Prognostic Index (KPI) was also evaluated and compared with that of the BMI classification.Results: Patients with low BMIs tended to exhibit higher Eastern Cooperative Oncology Group performance status (ECOG PS) scores (≥ 2) (P = 0.001), more frequent B symptoms (P < 0.001), lower albumin levels (P < 0.001), higher KPI scores (P = 0.03), and lower rates of complete remission (P < 0.001) than patients with high BMIs, as well as inferior progression-free survival (PFS, P = 0.003), and inferior overall survival (OS, P = 0.001). Multivariate analysis demonstrated that age > 60 years, mass > 5 cm, stage III/IV, elevated LDH levels, albumin levels < 35 g/L and low BMIs were independent adverse predictors of OS. The BMI classification was found to be superior to the IPI with respect to predicting patient outcomes among low-risk patients and the KPI with respect to distinguishing between intermediate-low- and high-intermediate-risk patients.Conclusions: Higher BMI at the time of diagnosis is associated with improved overall survival in ENKTL. Using the BMI classification may improve the IPI and KPI prognostic models.
“…Kim et al [35 ]reported that modified GPS score (based on CRP and serum albumin) is a potential prognostic factor in DLBCL, and Porrata et al [39 ]found that a peripheral blood absolute lymphocyte/monocyte ratio of <1.1 during treatment independently predicted inferior OS and PFS. Others have reported that BMI is a favorable prognostic factor in DLBCL [40,41]. These findings, if confirmed by larger studies, will provide additional information on the enhancement of treatment response and survival in a large proportion of DLBCL patients.…”
Background: The Advanced Lung Cancer Inflammation Index (ALI, body mass index × albumin/neutrophil-to-lymphocyte ratio) has been demonstrated to be a prognostic factor of survival in some solid cancers. We retrospectively investigated the usefulness of the ALI to predict chemotherapy response and survival in 212 patients with diffuse large B cell lymphoma (DLBCL) treated with R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisolone) chemotherapy. Methods: Patients were allocated to a low ALI group (n = 82, 38.7%) or a high ALI group (n = 130, 61.3%) according to an optimal pretreatment ALI cut-off value of 15.5 as determined by receiver operating curve analysis. Results: The low ALI group displayed more adverse clinical characteristics, lower rates of complete remission (54.9 vs. 75.4%, p = 0.008), and poorer 5-year progression-free (PFS, 58.1 vs. 77.3%, p = 0.006) and overall (OS, 64.2 vs. 80.2%, p = 0.008) survival. Multivariate analysis showed that low ALI was found to independently predict shorter PFS and OS. Interestingly, a low ALI reverted to a high ALI during treatment in 58 patients (27.4%), and the 5-year OS of these patients was better than that of patients whose ALI remained low (n = 24, 72.5 vs. 24%, p < 0.001). Conclusions: ALI might be an easily available marker for predicting clinical outcomes in DLBCL patients treated with R-CHOP chemotherapy.
“…Patient characteristics were similar to those used in our previously published article [6]. Our study cohort comprised 1021 patients with DLBCL who were treated with rituximab-based chemoimmunotherapy regimens, between January 2002 and March 2014.…”
Extranodal involvement is a well-known prognostic factor in patients with diffuse large B-cell lymphomas (DLBCL). Nevertheless, the prognostic impact of the extranodal scoring system included in the conventional international prognostic index (IPI) has been questioned in an era where rituximab treatment has become widespread. We investigated the prognostic impacts of individual sites of extranodal involvement in 761 patients with DLBCL who received rituximab-based chemoimmunotherapy. Subsequently, we established a new extranodal scoring system based on extranodal sites, showing significant prognostic correlation, and compared this system with conventional scoring systems, such as the IPI and the National Comprehensive Cancer Network-IPI (NCCN-IPI). An internal validation procedure, using bootstrapped samples, was also performed for both univariate and multivariate models. Using multivariate analysis with a backward variable selection, we found nine extranodal sites (the liver, lung, spleen, central nervous system, bone marrow, kidney, skin, adrenal glands, and peritoneum) that remained significant for use in the final model. Our newly established extranodal scoring system, based on these sites, was better correlated with patient survival than standard scoring systems, such as the IPI and the NCCN-IPI. Internal validation by bootstrapping demonstrated an improvement in model performance of our modified extranodal scoring system. Our new extranodal scoring system, based on the prognostically relevant sites, may improve the performance of conventional prognostic models of DLBCL in the rituximab era and warrants further external validation using large study populations.
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