Literature DB >> 24052022

Vitamin K intake, body mass index and warfarin maintenance dose.

Edmond K Kabagambe1, T Mark Beasley, Nita A Limdi.   

Abstract

BACKGROUND: Warfarin inhibits vitamin K-dependent coagulation factors. Being fat-soluble, the availability of vitamin K may vary according to body fat. We hypothesized that body mass index (BMI), a proxy of body fat, may interact with vitamin K intake in determining a warfarin maintenance (WM) dose.
METHODS: Patients with data on vitamin K intake, potential confounders and WM dose (n = 172) were included in linear regression models to test whether BMI modifies the relation between vitamin K intake and WM dose.
RESULTS: Warfarin loading dose correlated with the maintenance dose (r = 0.36, p < 0.0001) but was not significantly associated with WM dose in analyses adjusted for vitamin K epoxide reductase (VKORC1) and cytochrome P450 2C9 (CYP2C9) genotypes. In fully adjusted models, BMI was associated (p = 0.001) with WM dose but vitamin K was only marginally positively associated (p = 0.06) with WM dose. We found no interaction (p > 0.05) between BMI and vitamin K intake with regard to WM dose. Inclusion of vitamin K intake in the model only slightly improved the amount of variance (1.1%) explained by age, gender, BMI, race, physical activity, energy intake and VKORC1 and CYP2C9 genotypes.
CONCLUSION: Our data suggest that body fat does not affect the relation between vitamin K intake and WM dose.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24052022      PMCID: PMC4038335          DOI: 10.1159/000354218

Source DB:  PubMed          Journal:  Cardiology        ISSN: 0008-6312            Impact factor:   1.869


  13 in total

1.  Relation of BMI to a dual-energy X-ray absorptiometry measure of fatness.

Authors:  A Morabia; A Ross; F Curtin; C Pichard; D O Slosman
Journal:  Br J Nutr       Date:  1999-07       Impact factor: 3.718

2.  Multivariate analysis of the relation between diet and warfarin dose.

Authors:  Morten Arendt Rasmussen; Jane Skov; Else-Marie Bladbjerg; Johannes J Sidelmann; Marianne Vamosi; Jørgen Jespersen
Journal:  Eur J Clin Pharmacol       Date:  2011-09-21       Impact factor: 2.953

3.  Application of the method of triads to evaluate the performance of food frequency questionnaires and biomarkers as indicators of long-term dietary intake.

Authors:  E K Kabagambe; A Baylin; D A Allan; X Siles; D Spiegelman; H Campos
Journal:  Am J Epidemiol       Date:  2001-12-15       Impact factor: 4.897

4.  A regression model to predict warfarin dose from clinical variables and polymorphisms in CYP2C9, CYP4F2, and VKORC1: Derivation in a sample with predominantly a history of venous thromboembolism.

Authors:  P S Wells; H Majeed; S Kassem; N Langlois; B Gin; J Clermont; M Taljaard
Journal:  Thromb Res       Date:  2010-04-24       Impact factor: 3.944

5.  Adulthood obesity is positively associated with adipose tissue concentrations of vitamin K and inversely associated with circulating indicators of vitamin K status in men and women.

Authors:  M Kyla Shea; Sarah L Booth; Caren M Gundberg; James W Peterson; Catherine Waddell; Bess Dawson-Hughes; Edward Saltzman
Journal:  J Nutr       Date:  2010-03-17       Impact factor: 4.798

6.  Warfarin dosing in patients with impaired kidney function.

Authors:  Nita A Limdi; Mohit A Limdi; Larisa Cavallari; Aaron M Anderson; Michael R Crowley; Melissa F Baird; Michael Allon; T Mark Beasley
Journal:  Am J Kidney Dis       Date:  2010-08-14       Impact factor: 8.860

7.  Obesity is associated with a slower response to initial phenprocoumon therapy whereas CYP2C9 genotypes are not.

Authors:  Cordula Meyer zu Schwabedissen; Vera Mevissen; Fabian Schmitz; Seth Woodruff; Georg Langebartels; Thomas Rau; Klaus Zerres; Rainer Hoffmann; Jan R Ortlepp
Journal:  Eur J Clin Pharmacol       Date:  2006-07-18       Impact factor: 2.953

8.  Patient-specific factors predictive of warfarin dosage requirements.

Authors:  Randall K Absher; M Elisabeth Moore; Mary H Parker
Journal:  Ann Pharmacother       Date:  2002-10       Impact factor: 3.154

9.  Factors affecting the interindividual variability of warfarin dose requirement in adult Korean patients.

Authors:  Hyun-Jung Cho; Kie-Ho Sohn; Hyang-Mi Park; Kyung-Hoon Lee; BoYoung Choi; Seonwoo Kim; June-Soo Kim; Young-Keun On; Mi-Ryung Chun; Hee-Jin Kim; Jong-Won Kim; Soo-Youn Lee
Journal:  Pharmacogenomics       Date:  2007-04       Impact factor: 2.533

10.  Considerations in using anticoagulant therapy in special patient populations.

Authors:  Katherine W Phillips; Paul P Dobesh; Stuart T Haines
Journal:  Am J Health Syst Pharm       Date:  2008-08-01       Impact factor: 2.637

View more
  4 in total

1.  Preoperative INR and postoperative major bleeding and mortality: A retrospective cohort study.

Authors:  Hani Tamim; Mohamad Habbal; Antoine Saliba; Khaled Musallam; Muhyeddine Al-Taki; Jamal Hoballah; Sarah Jamali; Ali Taher
Journal:  J Thromb Thrombolysis       Date:  2016-02       Impact factor: 2.300

2.  Evaluation of the impact of body mass index on warfarin requirements in hospitalized patients.

Authors:  Katie B Tellor; Steffany N Nguyen; Amanda C Bultas; Anastasia L Armbruster; Nicholas A Greenwald; Abigail M Yancey
Journal:  Ther Adv Cardiovasc Dis       Date:  2018-06-19

3.  Effects of VKORC1 Genetic Polymorphisms on Warfarin Maintenance Dose Requirement in a Chinese Han Population.

Authors:  Xiaojuan Yan; Feng Yang; Hanyun Zhou; Hongshen Zhang; Jianfei Liu; Kezhong Ma; Yi Li; Jun Zhu; Jianqiang Ding
Journal:  Med Sci Monit       Date:  2015-11-19

4.  Impact of body mass index on 90-day warfarin requirements: a retrospective chart review.

Authors:  Bolanle M Soyombo; Ashley Taylor; Christopher Gillard; Candice Wilson; Janel Bailey Wheeler
Journal:  Ther Adv Cardiovasc Dis       Date:  2021 Jan-Dec
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.