| Literature DB >> 26765414 |
Pu-Yun OuYang1, Lu-Ning Zhang, Jie Tang, Xiao-Wen Lan, Yao Xiao, Yuan-Hong Gao, Jun Ma, Fang-Yun Xie.
Abstract
The effect of pretreatment body mass index on survival of nasopharyngeal carcinoma remains contradictory.All patients (N = 1778) underwent intensity-modulated radiotherapy with or without chemotherapy. Body mass index was categorized as underweight (<18.5 kg/m2), normal weight (18.5-22.9 kg/m2), overweight (22.9-27.5 kg/m2), and obesity (≥27.5 kg/m2). Propensity score matching method was used to identify patients with balanced characteristics and treatment regimen. Disease-specific survival (DSS), overall survival (OS), distant metastasis-free survival (DMFS), and locoregional relapse-free survival were estimated by Kaplan-Meier method and Cox regression.Following propensity matching, 115 (underweight vs normal), 399 (overweight vs normal), and 93 (obese vs normal) pairs of patients were selected, respectively. In univariate analysis, underweight patients had inferior DSS/OS (P = 0.042) and DMFS (P = 0.025) while both overweight and obese patients showed similar survival across all the endpoints (P ≥ 0.098) to those with normal weight. In multivariate analysis, underweight remained predictive of poor DSS/OS (P = 0.044) and DMFS (P = 0.040), whereas overweight (P ≥ 0.124) or obesity (P ≥ 0.179) was not associated with any type of survival.Underweight increased the risk of death and distant metastasis, whereas overweight or obese did not affect the survival of nasopharyngeal carcinoma. This provides support for early nutritional intervention during the long waiting time before treatment.Entities:
Mesh:
Year: 2016 PMID: 26765414 PMCID: PMC4718240 DOI: 10.1097/MD.0000000000002380
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Baseline Characteristics of the Included 1778 Patients Before Propensity Score Matching
Baseline Characteristics in 3 Cohorts of Matched Pairs After Propensity Score Matching
FIGURE 1Comparison outcomes of survival: underweight versus normal weight (A–C), overweight versus normal weight (D–F), and obesity versus normal weight (G–I). ∗ Cox regression model with time-dependent covariates.
Summary of Important Prognostic Factors in Multivariate Analysis ∗