Prognostic value of overhydration and bioelectrical impedance vector on short- and long-term outcomes in hospitalized patients with cancer

被引:7
作者
Pereira, Jarson Pedro da Costa [1 ]
Costa, Joao Henrique Santana [2 ]
de Miranda, Bruna Luisa Gomes [3 ]
Reboucas, Amanda de Sousa [4 ]
Bezerra, Agnes Denise de Lima [4 ]
Lopes, Marcia Marilia Gomes Dantas [2 ,5 ]
Fayh, Ana Paula Trussardi [2 ,3 ,4 ,6 ,7 ]
机构
[1] Univ Fed Pernambuco, Dept Nutr, Postgrad Program Nutr & Publ Hlth, Recife, PE, Brazil
[2] Univ Fed Rio Grande do Norte, Dept Nutr, Natal, RN, Brazil
[3] Univ Fed Rio Grande Do Norte, Hlth Sci Ctr, Postgrad Program Nutr, Natal, RN, Brazil
[4] Univ Fed Rio Grande do Norte, Hlth Sci Ctr, Postgrad Program Hlth Sci, Natal, RN, Brazil
[5] Univ Fed Rio Grande do Norte, Hlth Sci Ctr, Postgrad Program Appl Sci Womens Hlth, Natal, Brazil
[6] Univ Fed Rio Grande do Norte, Fed Univ Rio Grande Norte, Brazilian Co Hosp Serv EBSERH, PesqClin Lab, Natal, Brazil
[7] Univ Fed Rio Grande do Norte, Hlth Sci Ctr, Grad Program Nutr, Ave Senador Salgado Filho 3000, BR-59078970 Natal, RN, Brazil
关键词
Bioelectrical impedance analysis; Nutritional status; Mortality; Clinical outcomes; Hydration status; Cancer; ASSESSING NUTRITIONAL-STATUS; BODY-WATER RATIO; PHASE-ANGLE; APPLICABILITY; ASSOCIATION; PREDICTOR; HYDRATION; SURVIVAL;
D O I
10.1016/j.clnu.2024.01.025
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
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. Methods: 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/intracellularwater (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. Results: 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 inhospital and 6-month mortality shifted significantly to the right, leading to cachexia and overhydration quadrants (p < 0.05). Conclusion: Abnormalities related to overhydration were important predictors of short- and long-term mortality in hospitalized patients with cancer. (c) 2024 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.
引用
收藏
页码:756 / 764
页数:9
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