PDF(Pubmed)
Abstract：
UNASSIGNED: Bioelectrical impedance analysis (BIA) serves as a method to estimate body composition. Parameters such as phase angle (PA), standardized phase angle (SPA), body mass cell (BCM), BCM index (BCMI), and fat-free mass (FFM) might significantly impact the prognosis of head and neck cancer (HNC) patients. The present study aimed to investigate whether bioelectrical parameters can be used to predict survival in the HNC population and establish the optimal cutoff points for predictive accuracy.
UNASSIGNED: A multicenter observational study was performed across 12 tertiary hospitals in Andalusia (a region from the south of Spain). A total of 494 patients diagnosed with HNC between 2020 and 2022 at different stages were included in this study, with a minimum follow-up period of 12 months. The BIA assessment was carried out during the first 2 weeks of radical radiotherapy treatment with chemotherapy or other systemic treatments. A multivariate logistic regression analysis of overall survival, complications, hospital admission, and palliative care and its relationship with BIA nutritional assessment was performed.
UNASSIGNED: Significant prognostic factors identified in the multivariable analysis encompassed phase angle (PA), standardized phase angle (SPA), body cell mass (BCM), and BCM index (BCMI). Lower PA and BCM values were significantly associated with adverse clinical outcomes. A BCM threshold above 17 kg/m2 was the most significant predictor for predicting survival within the overall HNC population. The PA values of <5.1° in male and <4.8° in female patients showed the best predictive potential for mortality. Increased PA (as a continuous variable) demonstrated a significantly reduced risk for mortality (OR, 0.64; 95% CI, 0.43-0.94; p < 0.05) and a decreased likelihood of hospital admission (OR, 0.75; 95% CI, 0.52-1.07; p < 0.05). Higher BCM correlated with a lower risk of mortality (OR, 0.88; 95% CI, 0.80-0.96; p < 0.01) and a diminished probability of hospital admission (OR, 0.91; 95% CI, 0.83-0.99; p < 0.05).
UNASSIGNED: BIA is a crucial tool in the nutritional assessment of HNC patients. BCM and PA are the main bioelectrical parameters used to predict clinical outcomes in this population. Future studies are needed to validate BIA variables in a large cohort to ensure whether early intensification of nutritional treatment would improve survival.
UNASSIGNED: A multicenter observational study was performed across 12 tertiary hospitals in Andalusia (a region from the south of Spain). A total of 494 patients diagnosed with HNC between 2020 and 2022 at different stages were included in this study, with a minimum follow-up period of 12 months. The BIA assessment was carried out during the first 2 weeks of radical radiotherapy treatment with chemotherapy or other systemic treatments. A multivariate logistic regression analysis of overall survival, complications, hospital admission, and palliative care and its relationship with BIA nutritional assessment was performed.
UNASSIGNED: Significant prognostic factors identified in the multivariable analysis encompassed phase angle (PA), standardized phase angle (SPA), body cell mass (BCM), and BCM index (BCMI). Lower PA and BCM values were significantly associated with adverse clinical outcomes. A BCM threshold above 17 kg/m2 was the most significant predictor for predicting survival within the overall HNC population. The PA values of <5.1° in male and <4.8° in female patients showed the best predictive potential for mortality. Increased PA (as a continuous variable) demonstrated a significantly reduced risk for mortality (OR, 0.64; 95% CI, 0.43-0.94; p < 0.05) and a decreased likelihood of hospital admission (OR, 0.75; 95% CI, 0.52-1.07; p < 0.05). Higher BCM correlated with a lower risk of mortality (OR, 0.88; 95% CI, 0.80-0.96; p < 0.01) and a diminished probability of hospital admission (OR, 0.91; 95% CI, 0.83-0.99; p < 0.05).
UNASSIGNED: BIA is a crucial tool in the nutritional assessment of HNC patients. BCM and PA are the main bioelectrical parameters used to predict clinical outcomes in this population. Future studies are needed to validate BIA variables in a large cohort to ensure whether early intensification of nutritional treatment would improve survival.
摘要：
■生物电阻抗分析（BIA）用作估计身体成分的方法。参数，如相位角（PA），标准化相位角(SPA)，身体质量细胞（BCM），BCM指数（BCMI），无脂质量（FFM）可能显著影响头颈部肿瘤（HNC）患者的预后。本研究旨在研究生物电参数是否可用于预测HNC群体的生存，并建立预测准确性的最佳截止点。
■在安达卢西亚（西班牙南部地区）的12家三级医院进行了一项多中心观察性研究。本研究共纳入了2020年至2022年不同阶段诊断为HNC的494例患者。至少随访12个月。BIA评估是在根治性放疗和化疗或其他全身治疗的前2周内进行的。总生存期的多变量logistic回归分析，并发症,入院,进行姑息治疗及其与BIA营养评估的关系。
■在多变量分析中确定的重要预后因素包括相位角（PA），标准化相位角(SPA)，身体细胞团（BCM），和BCM指数(BCMI)。较低的PA和BCM值与不良临床结果显著相关。高于17kg/m2的BCM阈值是预测总体HNC群体内存活的最显著的预测因子。男性患者的PA值<5.1°，女性患者<4.8°显示出最佳的死亡率预测潜力。PA增加(作为连续变量)表明死亡风险显著降低(OR，0.64；95%CI，0.43-0.94；p<0.05），住院可能性降低（OR，0.75；95%CI，0.52-1.07；p<0.05）。较高的BCM与较低的死亡风险相关(OR，0.88；95%CI，0.80-0.96；p<0.01）和住院概率降低（OR，0.91；95%CI，0.83-0.99；p<0.05）。
■BIA是HNC患者营养评估的重要工具。BCM和PA是用于预测该人群临床结果的主要生物电参数。未来的研究需要在大型队列中验证BIA变量，以确保早期强化营养治疗是否会提高生存率。
■在安达卢西亚（西班牙南部地区）的12家三级医院进行了一项多中心观察性研究。本研究共纳入了2020年至2022年不同阶段诊断为HNC的494例患者。至少随访12个月。BIA评估是在根治性放疗和化疗或其他全身治疗的前2周内进行的。总生存期的多变量logistic回归分析，并发症,入院,进行姑息治疗及其与BIA营养评估的关系。
■在多变量分析中确定的重要预后因素包括相位角（PA），标准化相位角(SPA)，身体细胞团（BCM），和BCM指数(BCMI)。较低的PA和BCM值与不良临床结果显著相关。高于17kg/m2的BCM阈值是预测总体HNC群体内存活的最显著的预测因子。男性患者的PA值<5.1°，女性患者<4.8°显示出最佳的死亡率预测潜力。PA增加(作为连续变量)表明死亡风险显著降低(OR，0.64；95%CI，0.43-0.94；p<0.05），住院可能性降低（OR，0.75；95%CI，0.52-1.07；p<0.05）。较高的BCM与较低的死亡风险相关(OR，0.88；95%CI，0.80-0.96；p<0.01）和住院概率降低（OR，0.91；95%CI，0.83-0.99；p<0.05）。
■BIA是HNC患者营养评估的重要工具。BCM和PA是用于预测该人群临床结果的主要生物电参数。未来的研究需要在大型队列中验证BIA变量，以确保早期强化营养治疗是否会提高生存率。
