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

Required warfarin dose and time in therapeutic range in patients with diagnosed Nonalcoholic Fatty Liver Disease (NAFLD) or Nonalcoholic Steatohepatitis (NASH)

Warfarin has been widely used to treat thromboembolism. The effect of nonalcoholic fatty liver disease (NAFLD) or nonalcoholic steatohepatitis (NASH), on warfarin dosing remains unknown. This study aims to examine the effects of NAFLD/NASH on the average daily dose (ADD) of warfarin and the time in therapeutic range (TTR). This is a retrospective study utilizing an administrative data. We included patients with at least 2 months of warfarin dispensing and two subsequent consecutive INR measures. The ADD of warfarin to achieve therapeutic range INR levels, and TTR were compared between patients with and without NAFLD/NASH in four subgroups of patients accounting for the presence of obesity and diabetes. Generalized linear models (GLM) with Propensity score (PS) fine stratification were applied to evaluate the relative differences (RD) of warfarin ADD and TTR (>60%) in four subgroups. A total of 430 NAFLD/NASH patients and 38,887 patients without NAFLD/NASH were included. The ADD and TTR, were not significant in the overall cohort between those with and without NAFLD/NASH. However, GLM results in patients without diabetes or obesity (N = 26,685) showed a significantly lower warfarin ADD (RD: -0.38; 95%CI: -0.74–-0.02) and shorter TTR (OR: 0.71; 95%CI: 0.52–0.97) in patients diagnosed with NAFLD/NASH. The effects of NAFLD/NASH on warfarin dose or TTR were observed in patients without obesity and diabetes. Obesity and diabetes appear to be significant modifiers for the effects of NAFLD/NASH on warfarin dose and TTR.

Impact of Body Mass Index and Genetics on Warfarin Major Bleeding Outcomes in a Community Setting

BACKGROUND

Several studies have demonstrated an association between body mass index (BMI) and warfarin therapeutic dose, but none evaluated the association of BMI with the clinically important outcome of major bleeding in a community setting. To address this evidence gap, we conducted a case-control study to evaluate the association between BMI and major bleeding risk among patients receiving warfarin.

METHODS

We used a case-control study design to evaluate the association between obesity (BMI >30.0 kg/m²) and major bleeding risk among 265 cases and 305 controls receiving warfarin at Group Health, an integrated healthcare system in Washington State. Multivariate logistic regression was used to adjust for potential confounders derived from health plan records and a self-report survey. In exploratory analyses we evaluated the interaction between genetic variants potentially associated with warfarin bleeding (CYP2C9, VKORC1, and CYP4F2) and obesity on the risk of major bleeding.

RESULTS

Overall, the sample was 55% male, 94% Caucasian, and mean age was 70 years. Cases and controls had an average of 3.4 and 3.7 years of warfarin use, respectively. Obese patients had significantly lower major bleeding risk relative to non-obese patients (odds ratio [OR] 0.60, 95% confidence interval [CI] 0.39-0.92). The OR was 0.56 (95% CI 0.35-0.90) in patients with ≥1 year of warfarin use, and 0.78 (95% CI 0.40-1.54) in patients with <1 year of warfarin use. An exploratory analysis indicated a statistically significant interaction between CYP4F2*3 genetic status and obesity (P = .049), suggesting a protective effect of obesity on the risk of major bleeding among those wild type for CYP4F2*3, but not among variants.

CONCLUSIONS

Our findings suggest that BMI is an important clinical factor in assessing and managing warfarin therapy. Future studies should confirm the major bleeding associations, including the interaction between obesity and CYP4F2*3 status identified in this study, and evaluate potential mechanisms.

Effect of diseases on response to vitamin K antagonists

INTRODUCTION

The purpose of this review article is to summarize the literature on diseases that are documented to have an effect on response to warfarin and other VKAs.

METHODS

We searched the English literature from 1946 to September 2015 via PubMed, EMBASE, and Scopus for the effect of diseases on response vitamin K antagonists including warfarin, acenocoumarol, phenprocoumon, and fluindione.

DISCUSSION

Among many factors modifying response to VKAs, several disease states are clinically relevant. Liver disease, hyperthyroidism, and CKD are well documented to increase response to VKAs. Decompensated heart failure, fever, and diarrhea may also elevate response to VKAs, but more study is needed. Hypothyroidism is associated with decreased effect of VKAs, and obese patients will likely require higher initial doses of VKAs.

CONCLUSION

In order to minimize risks with VKAs while ensuring efficacy, clinicians must be aware of the effect of disease states when prescribing these oral anticoagulants.

Response to warfarin therapy in obese pediatric patients dosed according to institutional guidelines

BACKGROUND

Current warfarin dosing guidelines for pediatric patients do not account for obesity. Published data from adults suggest that obesity may affect warfarin dosing requirements. Obesity is prevalent in the pediatric population, and current warfarin dosing methods should be evaluated in obese pediatric patients.

METHODS

Patients aged 2 to 18 years who were obese and initiated on warfarin therapy at our institution as inpatients from 2004 to 2010 were identified and matched in a 1:2 ratio by age and sex with nonobese patients who were initiated on warfarin therapy. Patients were categorized obese per Centers for Disease Control guidelines. Demographic and disease state information, warfarin dosing information, INR values, and interacting medications were collected. Warfarin was dosed according to the institutional guidelines adapted from the published literature. Time to therapeutic INR value was the primary endpoint and percent of patients with supratherapeutic INR values was the secondary endpoint.

RESULTS

A total of 30 patients met the study criteria (10 obese, 20 nonobese), and baseline demographic variables were similar. No significant differences were noted in the number of INR values drawn, number of warfarin doses administered, or length of stay. Initial and maximum doses of warfarin per kg were significantly lower in obese patients compared with nonobese patients (P<0.05). Median time to therapeutic INR value was twice as long in obese patients as in nonobese patients (median=6 [range, 4 to 28 d] versus median=3 [range, 1 to 10 d]; P<0.01).

CONCLUSIONS

Obese pediatric patients have an increased time to therapeutic INR value when traditional warfarin dosing guidelines are used.

Warfarin Dosing and Body Mass Index

Background: Warfarin is still the most commonly used anticoagulant for the treatment of venous thromboembolism and other hypercoagulable states. Warfarin metabolism is affected by multiple factors, including diet, medications, and individual patient characteristics. As both underdosing and overdosing can increase risks to patients, several studies have attempted to develop dosing protocols. However, few have investigated how patient weight and body mass index (BMI) affect warfarin dosing. Objective: The objective of this study was to determine the association between BMI and the total weekly dose (TWD) of warfarin. Methods: In this retrospective study, we identified patients taking warfarin who had an international normalized ratio (INR) within the therapeutic range to assess if there was a significant correlation between TWD, that is, maintenance warfarin dosing, and BMI in obese and nonobese patients. Results: A total of 831 patients were studied, with a BMI range between 13.4 and 63.1 kg/m2. We found that BMI is positively correlated with the total weekly warfarin dose. Our study showed that for each 1-point increase in BMI, the weekly warfarin dose increased by 0.69 mg. We found that the average warfarin weekly dose in this population can be estimated using the formula: 12.34 + 0.69 × BMI. Conclusion: There is an association between BMI and the TWD of warfarin. This could have dosing implications for both patients and prescribers, as patients with a high BMI will be expected to require higher doses of warfarin to maintain a therapeutic INR.

Vitamin K intake, body mass index and warfarin maintenance dose

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.

Drug interactions with phenprocoumon and the risk of serious haemorrhage: a nested case-control study in a large population-based German database

PURPOSE

Phenprocoumon is the most frequently used vitamin K antagonist in Germany. The aim of this study was to estimate the risk of serious bleeding as a result of the use of drugs with potential interaction with phenprocoumon.

METHODS

We conducted a nested case-control study in a cohort of 246,220 phenprocoumon users in the German Pharmacoepidemiological Research Database. Cases were patients hospitalised for haemorrhage of different kinds. Ten controls were matched to each case by health insurance, birth year and sex using incidence density sampling. Odds ratios (OR) with 95% confidence intervals (CI) of the risk of serious bleeding associated with combined use of phenprocoumon and potentially interacting drugs versus phenprocoumon alone were estimated using conditional logistic regression analysis. Our analyses considered multiple risk factors, such as bleeding history, other comorbidities or co-medication.

RESULTS

Our study included 2,553 cases and 25,348 matched controls. An increased risk of bleeding was observed for the combined use of phenprocoumon and clopidogrel vs phenprocoumon use alone (OR: 1.83, 95% CI: 1.41-2.36). Antibiotic drugs associated with an increased risk of haemorrhage in the population of phenprocoumon users included the group of quinolones with ORs ranging from 2.74 (95% CI: 1.80-4.18) for ciprofloxacin to 4.40 (95% CI: 2.45-7.89) for levofloxacin, amoxicillin plus clavulanic acid (OR: 2.99, 95% CI: 1.39-6.42) and cotrimoxazole (OR 3.57, 95% CI: 2.36-5.40). Among non-steroidal anti-inflammatory drugs (NSAIDs), ketoprofen and naproxen were associated with the highest risks.

CONCLUSION

Significantly elevated risks of major bleeding were mainly observed for drugs with known pharmacodynamic interaction with phenprocoumon, and less for drugs with possible pharmacokinetic interaction.

Potential interaction between warfarin and high dietary protein intake

A 55-year-old Caucasian man was receiving warfarin therapy after undergoing aortic valve replacement. His international normalized ratio (INR) was stabilized with warfarin 95 mg/week for 5 weeks. Commencement of a low-carbohydrate, high-protein diet resulted in a series of subtherapeutic INRs that led to a 16% increase in the dosage requirement to maintain therapeutic INRs. After the patient discontinued the diet, his INR increased, and several dosage reductions were required until his INR stabilized with his original dosage of 95 mg/week. Two additional case reports have described a possible interaction between warfarin and a high-protein diet. The potential for increased dietary protein intake to raise serum albumin levels and/or cytochrome P450 activity has been postulated as mechanisms for the resulting decrease in INRs. Given the available animal and human data that demonstrate alterations in drug metabolism in the presence of altered dietary protein intake, an increase in warfarin metabolism due to cytochrome P450 activation appears to be the most likely cause. In addition to the previously reported cases, this case indicates a potential interaction between warfarin and a high-protein diet. Because of the popularity of high-protein diets and because of the risks associated with inadequate or excessive warfarin anticoagulation, patients and health care providers should be aware of this interaction to ensure appropriate monitoring when warranted.