Postgraduate Program in Nutrition and Public Health, Department of Nutrition, Federal University of Pernambuco, Recife, PE, Brazil.
Department of Nutrition, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Clin Nutr. 2024 Mar;43(3):756-764. doi: 10.1016/j.clnu.2024.01.025. Epub 2024 Jan 24.
BACKGROUND & AIMS: Water, an essential component of body composition, appears to be a significant predictor of adverse outcomes in clinical populations, despite being frequently underexplored. Bioelectrical impedance analysis (BIA) and vector analysis (BIVA) are easy and cost-effective bedside tools for estimating body composition, particularly water content. Therefore, our study aimed to assess the impact of hydration and fluid status using both BIA and BIVA on outcomes in hospitalized patients with cancer.
A prospective cohort study involving hospitalized individuals with cancer was conducted. Total body water (TBW) was estimated using BIA. Extracellular-water/TBW (ECW/TBW) and ECW/intracellular-water (ECW/ICW) ratios were calculated. BIVA ellipses vectors were constructed to enhance our analysis of hydration status. Participants were followed during their hospital stay and up to six months after discharge to assess outcomes, including in-hospital mortality, 6-month non-elective rehospitalization, and 6-month mortality.
TBW, ECW/TBW, ECW/ICW ratios, and BIVA plots were not associated with non-elective rehospitalization during the follow-up period. However, TBW and an elevated ECW/ICW ratio were independent predictors of in-hospital mortality [hazard ratio (HR): 1.07 (1.01; 1.13) p = 0.020; HR: 4.23 (1.69; 10.58) p = 0.002]. Elevated ratios ECW/TBW and ECW/ICW were independent predictors of 6-month mortality [HR: 1.87 (1.10; 3.21) p = 0.022; HR: 2.49 (1.37; 4.51) p = 0.003]. BIVA vectors for in-hospital and 6-month mortality shifted significantly to the right, leading to cachexia and overhydration quadrants (p < 0.05).
Abnormalities related to overhydration were important predictors of short- and long-term mortality in hospitalized patients with cancer.
水是人体组成的重要成分,尽管经常被低估,但它似乎是临床人群不良结局的重要预测指标。生物电阻抗分析(BIA)和向量分析(BIVA)是一种简单且具有成本效益的床边工具,可用于估算身体成分,特别是水含量。因此,我们的研究旨在评估使用 BIA 和 BIVA 评估水合状态和液体状态对住院癌症患者结局的影响。
进行了一项前瞻性队列研究,纳入了住院癌症患者。使用 BIA 估算总体水(TBW)。计算细胞外液/总体水(ECW/TBW)和细胞外液/细胞内液(ECW/ICW)比值。构建 BIVA 椭圆向量以增强我们对水合状态的分析。在住院期间和出院后 6 个月内对参与者进行随访,以评估结局,包括住院期间死亡率、6 个月内非择期再住院和 6 个月死亡率。
TBW、ECW/TBW、ECW/ICW 比值和 BIVA 图与随访期间的非择期再住院无关。然而,TBW 和升高的 ECW/ICW 比值是住院期间死亡率的独立预测因子[风险比(HR):1.07(1.01;1.13)p=0.020;HR:4.23(1.69;10.58)p=0.002]。升高的 ECW/TBW 和 ECW/ICW 比值是 6 个月死亡率的独立预测因子[HR:1.87(1.10;3.21)p=0.022;HR:2.49(1.37;4.51)p=0.003]。住院期间和 6 个月死亡率的 BIVA 向量显著向右移动,导致恶病质和水过多象限(p<0.05)。
与水过多相关的异常是住院癌症患者短期和长期死亡率的重要预测指标。