Literature DB >> 23787543

Differences in prescribed Kt/V and delivered haemodialysis dose--why obesity makes a difference to survival for haemodialysis patients when using a 'one size fits all' Kt/V target.

Andrew Davenport1.   

Abstract

BACKGROUND: Morbid obesity is reported to be a survival factor for haemodialysis patients compared with those with a normal body mass index (BMI), yet morbid obesity (BMI >35) is a mortality risk factor for obese patients in the general population. Traditionally, haemodialysis dosing is prescribed to achieve a target Kt/V corrected for total body water (TBW). As obese patients typically have increased body fat, which contains less water than muscle, then obese patients may have lower levels of body water than their slimmer counterparts, and as such delivered Kt/V could be greater than that estimated using standard anthropomorphic equations, and so increased dialysis dose may help explain the increased survival reported for obese patients.
METHODS: We compared multi-frequency bioelectrical impedance analysis (MF-BIA) measurements of TBW in healthy haemodialysis outpatients, and compared TBW with that calculated from the Watson equation derived from anthropomorphic measurements.
RESULTS: Three hundred and sixty-three adult patients, mean age 58.1 ± 16.7 years, 60.9% male and 29.9% diabetic were studied. MF-BIA-measured body composition showed that as BMI increased from <20 to >35, the percentage skeletal muscle mass fell from 42.8 ± 4.9 to 29.2 ± 5.5% (P < 0.01) whereas the % fat mass increased from 24.5 ± 11.6 to 46.7 ± 6.8% (P < 0.01). As such, TBW measured by MF-BIA was significantly lower from that predicted by the Watson equation at higher BMIs (BMI > 35; 38.9 ± 6.8 versus 44.7 ± 6.9 L, P < 0.01 and BMI = 30-35; 37.2 ± 7.5 versus 41.9 ± 7.3 L, P < 0.01), and as such the delivered Kt/V using MF-BIA was much greater than that using the Watson-based urea volume of distribution for the obese patients (BMI > 35; spKt/V 1.63 ± 0.48 versus 1.41 ± 0.35 and BMI 30-35; 1.65 ± 0.3 versus 1.46 ± 0.26, both P < 0.01).
CONCLUSIONS: Prescribing dialysis or quantifying on-line clearance based on the anthropomorphically derived Watson equation leads to underestimation of the delivered dose to obese patients, due to changes in underlying body composition. As such, when using a 'one size fits all' target Kt/V, obese patients have an advantage over patients with normal BMI, in that they will receive a greater delivered dose of dialysis, and this may potentially explain the paradoxical survival advantage of the morbidly obese haemodialysis patient.

Entities:  

Keywords:  Kt/V; anthropomorphic Watson; body composition; multi-frequency bioimpedance; muscle fat; obesity

Mesh:

Substances:

Year:  2013        PMID: 23787543     DOI: 10.1093/ndt/gft237

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  10 in total

1.  Body composition monitoring-derived urea distribution volume in children on chronic hemodialysis.

Authors:  Ariane Zaloszyc; Michel Fischbach; Betti Schaefer; Lorenz Uhlmann; Rémi Salomon; Saoussen Krid; Claus Peter Schmitt
Journal:  Pediatr Nephrol       Date:  2016-01-11       Impact factor: 3.714

2.  How Is Body Composition and Nutrition Status Associated with Erythropoietin Response in Hemodialyzed Patients? A Single-Center Prospective Cohort Study.

Authors:  Wiktoria Feret; Krzysztof Safranow; Kazimierz Ciechanowski; Ewa Kwiatkowska
Journal:  J Clin Med       Date:  2022-04-26       Impact factor: 4.964

3.  Aortic pulse wave velocity in haemodialysis patients is associated with the prescription of active vitamin D analogues.

Authors:  Evangelina Charitaki; Andrew Davenport
Journal:  J Nephrol       Date:  2014-01-29       Impact factor: 3.902

4.  Will incremental hemodialysis preserve residual function and improve patient survival?

Authors:  Andrew Davenport
Journal:  Semin Dial       Date:  2014-11-11       Impact factor: 3.455

5.  Indexing dialysis dose for gender, body size and physical activity: Impact on survival.

Authors:  Sivakumar Sridharan; Enric Vilar; Andrew Davenport; Neil Ashman; Michael Almond; Anindya Banerjee; Justin Roberts; Ken Farrington
Journal:  PLoS One       Date:  2018-09-07       Impact factor: 3.240

6.  Application of the Clinical Frailty Score and body composition and upper arm strength in haemodialysis patients.

Authors:  Andrew Davenport
Journal:  Clin Kidney J       Date:  2021-11-23

7.  Hemodialysis (HD) dose and ultrafiltration rate are associated with survival in pediatric and adolescent patients on chronic HD-a large observational study with follow-up to young adult age.

Authors:  Verena Gotta; Olivera Marsenic; Andrew Atkinson; Marc Pfister
Journal:  Pediatr Nephrol       Date:  2021-03-02       Impact factor: 3.714

8.  The association of standard Kt/V and surface area-normalized standard Kt/V with clinical outcomes in hemodialysis patients.

Authors:  Pattharawin Pattharanitima; Kinsuk Chauhan; Osama El Shamy; Kumardeep Chaudhary; Shuchita Sharma; Steven G Coca; Girish N Nadkarni; Jaime Uribarri; Lili Chan
Journal:  Hemodial Int       Date:  2020-08-18       Impact factor: 1.543

9.  Volume Estimates in Chronic Hemodialysis Patients by the Watson Equation and Bioimpedance Spectroscopy and the Impact on the Kt/Vurea calculation.

Authors:  Nazanin Noori; Ron Wald; Arti Sharma Parpia; Marc B Goldstein
Journal:  Can J Kidney Health Dis       Date:  2018-01-10

10.  Prescribing Hemodialysis or Hemodiafiltration: When One Size Does Not Fit All the Proposal of a Personalized Approach Based on Comorbidity and Nutritional Status.

Authors:  Giorgina Barbara Piccoli; Louise Nielsen; Lurilyn Gendrot; Antioco Fois; Emanuela Cataldo; Gianfranca Cabiddu
Journal:  J Clin Med       Date:  2018-10-08       Impact factor: 4.241

  10 in total

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