Bioelectrical impedance vector analysis in patients on the waiting list for liver transplant: Associated factors and prognostic effects

被引:2
|
作者
Santos, Barbara Chaves [1 ]
Ferreira, Livia Garcia [2 ]
Ribeiro, Helem Sena [3 ]
Toulson Davisson Correia, Maria Isabel [3 ,4 ]
Lima, Agnaldo Soares [3 ]
Cancela E Penna, Francisco Guilherme [4 ]
Anastacio, Lucilene Rezende [1 ]
机构
[1] Univ Fed Minas Gerais, Food Sci Grad Program, Belo Horizonte, MG, Brazil
[2] Univ Fed Lavras, Nutr & Hlth Grad Program, Lavras, MG, Brazil
[3] Univ Fed Minas Gerais, Surg Grad Program, Belo Horizonte, MG, Brazil
[4] Univ Fed Minas Gerais, Alfa Inst Gastroenterol, Hosp Clin, Belo Horizonte, MG, Brazil
关键词
Liver cirrhosis; Liver transplantation; Bioelectrical impedance; BIVA; Mortality; BODY-COMPOSITION; NUTRITIONAL-STATUS; PHASE-ANGLE; BIOIMPEDANCE; MALNUTRITION; HYDRATION; EVOLUTION; MARKERS; VALUES; ADULT;
D O I
10.1016/j.nut.2021.111528
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
Objectives: The aim of this study was to assess patients on the waiting list for liver transplant (LTx) according to bioelectrical impedance vector analysis (BIVA), as well as to verify the association between the placement of the vectors on the graph with clinical outcomes and identify the predictors to vector placement in quadrant 4 (Q4; indicating more hydration and less cellularity). Methods: This was a retrospective observational study including 129 patients >= 20 y of age awaiting LTx. Patients' nutritional status was assessed by using different tools, including single-frequency bioelectrical impedance analysis and the Subjective Global Assessment (SGA). Clinical data were registered. The BIVA was evaluated by comparing the individual vectors plotted for all patients to the tolerance ellipses of 50%, 75%, and 95% of the reference healthy population. The quadrant of the vector for each patient was registered. Results: The majority of the vectors were placed in Q1 (n = 54; 41.9%) and Q4 (n = 39; 30.2%). The presence of ascites or edema (hazard ratio [HR], 2.43; 95% confidence interval [CI], 1.15-5.12; P = 0.019) and the BIVA vector placed in Q4 in any ellipse (HR, 2.10; 95% CI, 1.07-4.09; P = 0.029) were independent predictors for mortality on the waiting list or <= 1 y after LTx. BIVA was not associated with longer hospital length of stay. The predictors of vector placement in Q4 were higher age, malnutrition according to SGA, and presence of ascites or edema. Conclusion: Patients on the waiting list for LTx with BIVA vectors placed in Q4, in the 50%, 75%, or 95% tolerance ellipses, presented a worse prognosis. (c) 2021 Elsevier Inc. All rights reserved.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Can Bioelectrical Impedance Analysis and BMI Be a Prognostic Tool in Head and Neck Cancer Patients? A Review of the Evidence
    Mantzorou, Maria
    Tolia, Maria
    Poultsidi, Antigoni
    Pavlidou, Eleni
    Papadopoulou, Sousana K.
    Papandreou, Dimitrios
    Giaginis, Constantinos
    CANCERS, 2020, 12 (03)
  • [22] Comparison of seven liver allocation models with respect to lives saved among patients on the liver transplant waiting list
    Magder, Laurence S.
    Regev, Arie
    Mindikoglu, Ayse L.
    TRANSPLANT INTERNATIONAL, 2012, 25 (04) : 409 - 415
  • [23] List and Liver Transplant Survival According to Waiting Time in Patients With Hepatocellular Carcinoma
    Salvalaggio, P. R.
    Felga, G.
    Axelrod, D. A.
    Della Guardia, B.
    Almeida, M. D.
    Rezende, M. B.
    AMERICAN JOURNAL OF TRANSPLANTATION, 2015, 15 (03) : 668 - 677
  • [24] Severe muscle depletion in patients on the liver transplant wait list: Its prevalence and independent prognostic value
    Tandon, Puneeta
    Ney, Michael
    Irwin, Ivana
    Ma, Mang M.
    Gramlich, Leah
    Bain, Vincent G.
    Esfandiari, Nina
    Baracos, Vickie
    Montano-Loza, Aldo J.
    Myers, Robert P.
    LIVER TRANSPLANTATION, 2012, 18 (10) : 1209 - 1216
  • [25] Risk Factors for Dropout From the Liver Transplant Waiting List of Hepatocellular Carcinoma Patients Under Locoregional Treatment
    Lee, H. A.
    Cho, E. Y.
    Kim, T. H.
    Lee, Y.
    Suh, S. J.
    Jung, Y. K.
    Kim, J. H.
    An, H.
    Seo, Y. S.
    Kim, D. -S.
    Yim, H. J.
    Yeon, J. E.
    Byun, K. S.
    Um, S. H.
    TRANSPLANTATION PROCEEDINGS, 2018, 50 (10) : 3521 - 3526
  • [26] Bioelectrical impedance vector analysis-derived phase angle predicts survival in patients with systemic immunoglobulin light-chain amyloidosis
    Caccialanza, Riccardo
    Cereda, Emanuele
    Klersy, Catherine
    Milani, Paolo
    Cappello, Silvia
    Martinelli, Valentina
    Turri, Annalisa
    Basset, Marco
    Borioli, Valeria
    Nuvolone, Mario
    Caraccia, Marilisa
    Lavatelli, Francesca
    Masi, Sara
    Lobascio, Federica
    Foli, Andrea
    Merlini, Giampaolo
    Palladini, Giovanni
    AMYLOID-JOURNAL OF PROTEIN FOLDING DISORDERS, 2020, 27 (03): : 168 - 173
  • [27] Agreement between vector analysis and body composition measurements by four types of bioelectrical impedance technology in hemodialysis patients
    Espinosa-Cuevas, Angeles
    Ch-Duran, Larisa-Ximena
    Atilano-Carsi, Ximena
    Gonzalez-Ortiz, Ailema
    Ramos-Acevedo, Samuel
    Lopez-Cisneros, Sonia
    Correa-Rotter, Ricardo
    Vanessa Miranda-Alatriste, Paola
    NUTRICION HOSPITALARIA, 2022, 39 (05) : 1047 - 1057
  • [28] Bioelectrical Impedance Vector Analysis and Brain Natriuretic Peptide in the Evaluation of Patients with Chronic Kidney Disease in Hemodialitic Treatment
    Kristuli, Liliana
    Lai, Silvia
    Perrotta, Adolfo Marco
    Zizzo, Giuseppe Pietro
    Riccardi, Claudio
    Capasso, Emanuela
    Galani, Alessandro
    Russo, Gaspare Elios
    KIDNEY & BLOOD PRESSURE RESEARCH, 2023, 48 (01) : 1 - 6
  • [29] Gait Speed and Grip Strength Are Associated With Dropping Out of the Liver Transplant Waiting List
    Kulkarni, S. S.
    Chen, H.
    Josbeno, D. A.
    Schmotzer, A.
    Hughes, C.
    Humar, A.
    Sood, P.
    Rachakonda, V.
    Dunn, M. A.
    Tevar, A. D.
    TRANSPLANTATION PROCEEDINGS, 2019, 51 (03) : 794 - 797
  • [30] Bioelectrical impedance vector analysis in critically ill patients: a prospective, clinician-blinded investigation
    Jones, Sarah L.
    Tanaka, Aiko
    Eastwood, Glenn M.
    Young, Helen
    Peck, Leah
    Bellomo, Rinaldo
    Martensson, Johan
    CRITICAL CARE, 2015, 19