NORMALIZED BIOIMPEDANCE INDICES ARE BETTER PREDICTORS OF OUTCOME IN PERITONEAL DIALYSIS PATIENTS

被引:24
|
作者
Koh, Keng-Hee [1 ,2 ]
Wong, Hin-Seng [1 ,3 ]
Go, Kuan-Weng [1 ]
Morad, Zaki [1 ]
机构
[1] Kuala Lumpur Hosp, Dept Nephrol, Kuala Lumpur, Malaysia
[2] Kuching Hosp, Dept Med, Kuching, Malaysia
[3] Selayang Hosp, Dept Nephrol, Kuala Lumpur, Malaysia
来源
PERITONEAL DIALYSIS INTERNATIONAL | 2011年 / 31卷 / 05期
关键词
Bioimpedance analysis; CAPD; comparison with general population; normalizing capacitance; phase angle; survival; FAT-FREE MASS; SERUM-ALBUMIN; BODY-WATER; IMPEDANCE; SPECTROSCOPY; AGE;
D O I
10.3747/pdi.2009.00140
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background: While phase angle of bioimpedance analysis (BIA) has great survival-predicting value in dialysis populations, it is known to be higher in male than in female subjects. In this study, we aimed to explore the factors influencing the predictive value of phase angle and to identify the appropriate physics terms for normalizing capacitance (C) and resistance (R). Methods: We formulated body capacitive index (BCI), C-BMI (capacitance x height(2)/weight), body resistive index (BRI), R-BMI (resistance x weight/height(2)), and CH2 (capacitance x height(2)). We also studied H-2/R, R/H, and reactance of a capacitor/height (X-C/H). There are 3 components in this study design: (1) establishment of normal values in a control Malaysian population, (2) comparison of these with a CAPD population, and (3) prediction of survival within a CAPD population. We initially performed a BIA study in 206 female and 116 male healthy volunteers, followed by a prospective study in a cohort of 128 CAPD patients [47 with diabetes mellitus (DM), 81 non-DM; 59 males, 69 females] for at least 2 years. All the parameters during enrolment, including BIA, serum albumin, peritoneal equilibrium test, age, and DM status, were analyzed. Outcome measurement was survival. Results: In healthy volunteers, both genders had the same BCI (2.0 nF kg/m(2)). On the contrary, female normal subjects had higher BRI than male normal subjects (median 15642 vs 13242 Omega kg/m(2), p < 0.001) due to higher fat percentage (35.4% +/- 0.4% vs 28.0% +/- 0.6%, p < 0.001), resulting in a lower phase angle (mean 5.82 +/- 0.04 vs 6.86 +/- 0.07 degrees, p < 0.001). Logistic regression showed that BCI was the best risk indicator in 128 CAPD patients versus 322 normal subjects. In age-and body mass index (BMI)-matched head-to-head comparison, BCI had the highest chi(2) value (chi(2) = 102.63), followed by CH2 (or H-2/X-C;chi(2) = 81.00), BRI (chi(2) = 20.54), and X-C/H (chi(2) = 20.48), with p value < 0.001 for these parameters. In comparison, phase angle (chi(2) = 11.42), R/H (chi(2) = 7.19), and H-2/R (chi(2) = 5.69) had lower chi(2) values. 35 (27.3%) patients died during the study period. Univariate analysis adjusted for DM status and serum albumin level demonstrated that non-surviving patients had significantly higher CH2 (245 vs 169 nF m(2), p < 0.001) and BCI (4.0 vs 2.9 nF m(2)/kg, p = 0.005) than patients that survived. CH2 was the best predictor for all-cause mortality in Cox regression analysis, followed by BCI, phase angle, and X-C/H. Conclusion: Measures that normalize, such as BCI and CH2, have higher risk discrimination and survival prediction ability than measures that do not normalize, such as phase angle. Unlike phase angle, measurement of BCI overcomes the gender effect. In this study, the best risk indicator for CAPD patients versus the general population is BCI, reflecting deficit in nutritional concentration, while CH2 reflects total nutritional deficit and thus is the major risk indicator for survival of CAPD patients.
引用
收藏
页码:574 / 582
页数:9
相关论文
共 50 条
  • [1] PREDICTORS OF OUTCOME IN PATIENTS ON PERITONEAL DIALYSIS
    Lee, Hoi Kan
    Tong, Matthew K. H.
    Siu, Yui Pong
    Leung, Kay Tai
    Yung, Chun Yu
    Kwan, Tze Hoi
    Au, Tak Cheung
    NEPHROLOGY, 2005, 10 : A75 - A75
  • [2] COMPARISON OF LEAN MASS INDICES AS PREDICTORS OF MORTALITY IN INCIDENT PERITONEAL DIALYSIS PATIENTS
    Park, Jong Won
    Kang, Seok Hui
    Cho, Kyu Hyang
    Kim, Jun Chul
    Do, Jun Young
    NEPHROLOGY DIALYSIS TRANSPLANTATION, 2018, 33 : 201 - 201
  • [3] Comparison of lean mass indices as predictors of mortality in incident peritoneal dialysis patients
    Kang, Seok Hui
    Kim, A. Young
    Do, Jun Young
    PLOS ONE, 2021, 16 (07):
  • [4] Bioimpedance and Brain Natriuretic Peptide in Peritoneal Dialysis Patients
    Crepaldi, Carlo
    Lamas, Elena Iglesias
    Martino, Francesca Katiana
    Rodighiero, Maria Pia
    Scalzotto, Elisa
    Wojewodzka-Zelezniakowicz, Marzena
    Rosner, Mitchell H.
    Ronco, Claudio
    PERITONEAL DIALYSIS - STATE-OF-THE-ART 2012, 2012, 178 : 174 - 181
  • [5] Favourable outcome predictors in peritoneal dialysis patients undergoing renal transplantation
    Chaaban, A.
    Abouchacra, S.
    Al Suneid, M.
    Al Meshari, K.
    Al Furiayh, O.
    Tresney, R.
    NEPHROLOGY, 2008, 13 : A86 - A86
  • [6] Predictors of death in patients on peritoneal dialysis: The Missouri peritoneal dialysis study
    Trivedi, H
    Tan, SH
    Prowant, B
    Sherman, A
    Voinescu, CG
    Atalla, J
    Khanna, R
    Nolph, K
    AMERICAN JOURNAL OF NEPHROLOGY, 2005, 25 (05) : 466 - 473
  • [7] Bioimpedance analysis and assessment of intracellular water in peritoneal dialysis patients
    de Kerkhof, JV
    Konings, CJ
    van Kreel, B
    van der Sande, FM
    Leunissen, KML
    Kooman, JP
    PERITONEAL DIALYSIS INTERNATIONAL, 2003, 23 (06): : 591 - 593
  • [8] EVALUATION OF NUTRITIONAL STATUS OF PERITONEAL DIALYSIS PATIENTS BY BIOIMPEDANCE ANALYSIS
    Akdam, Hakan
    Alp, Alper
    Ozbek, Ozgul
    Kahraman, Aysegul
    Ozisik, Melih
    Arda, Hayri Ustun
    Yenicerioglu, Yavuz
    ACTA MEDICA MEDITERRANEA, 2016, 32 (03): : 685 - 690
  • [9] Repeated Bioimpedance Measurements Predict Prognosis of Peritoneal Dialysis Patients
    Kim, Jwa-Kyung
    Song, Young Rim
    Lee, Hyung Seok
    Kim, Hyung Jik
    Kim, Sung Gyun
    AMERICAN JOURNAL OF NEPHROLOGY, 2018, 47 (02) : 120 - 129
  • [10] Predictors of outcome following bacterial peritonitis in peritoneal dialysis
    Krishnan, M
    Thodis, E
    Ikonomopoulos, D
    Vidgen, E
    Chu, M
    Bargman, JM
    Vas, SI
    Oreopoulos, DG
    PERITONEAL DIALYSIS INTERNATIONAL, 2002, 22 (05): : 573 - 581