Population pharmacokinetic analysis and dosage recommendations for digoxin in Japanese patients with atrial fibrillation and heart failure using real-world data

Population pharmacokinetic analysis of the interaction of digoxin with N-desethylamiodarone in patients with atrial fibrillation and heart failure

AIMS

To evaluate the effects of amiodarone and/or N-desethylamiodarone concentrations on digoxin pharmacokinetics and determine the optimal dose of digoxin combined with amiodarone in Japanese patients with atrial fibrillation and heart failure.

METHODS

A population pharmacokinetic analysis of 3288 points from 368 patients receiving oral digoxin, including 48 (13%) who were coadministered amiodarone, was performed. A 1-compartment model with first-order absorption with amiodarone or N-desethylamiodarone as time-varying covariates for apparent digoxin clearance was constructed using stepwise forward inclusion and backward elimination approaches. The percentage of patients with digoxin values in the toxic range (≥0.9 ng/mL) was evaluated with Monte Carlo simulation.

RESULTS

The median serum digoxin concentration was 0.75 ng/mL; the median plasma concentrations of amiodarone and N-desethylamiodarone were 610 and 644 ng/mL, respectively. The final model for oral clearance of digoxin was explained by creatinine clearance (CLcr) and the N-desethylamiodarone concentration. Digoxin clearance increased by 21% when CLcr was doubled and decreased by 3% when the N-desethylamiodarone concentration increased by 100 ng/mL. In the simulation, the proportion of patients with values in the toxic range was high at 0.125 mg daily among patients taking amiodarone. A daily dose of 0.0625 mg is recommended for patients with a CLcr >30 mL/min. For patients with a CLcr ≤30 mL/min and an N-desethylamiodarone concentration >600 ng/mL, a daily dose of 0.03125 mg is recommended because of reduced digoxin clearance.

CONCLUSIONS

This study revealed that renal impairment and high plasma N-desethylamiodarone concentrations reduce digoxin clearance in patients with atrial fibrillation and heart failure.

A Comprehensive Review on Unveiling the Journey of Digoxin: Past, Present, and Future Perspectives

Digoxin, a cardiac glycoside derived from the foxglove plant (Digitalis spp.), has been utilized for centuries in managing various cardiac conditions due to its ability to increase myocardial contractility and regulate heart rate. This comprehensive review explores the historical context, pharmacological properties, clinical applications, efficacy, safety profile, challenges, and future perspectives of digoxin. Tracing its journey from traditional medicine to modern cardiovascular therapeutics, we delve into its mechanism of action, therapeutic indications, and clinical guidelines. While digoxin remains a cornerstone therapy for heart failure and atrial fibrillation, its narrow therapeutic index and individual variability in response pose challenges in clinical practice. Nevertheless, ongoing research efforts aim to elucidate its role in emerging therapeutic areas and technological advancements in drug delivery. Despite the advent of newer pharmacological agents, digoxin's enduring relevance lies in its established efficacy, affordability, and global accessibility. This review underscores the symbiotic relationship between tradition and progress in cardiovascular medicine, highlighting the timeless pursuit of medical innovation to optimize patient care.

Dosage Optimization of Digoxin in Older Patients with Heart Failure and Chronic Kidney Disease: A Population Pharmacokinetic Analysis

BACKGROUND

Renal function is an important index for digoxin dose adjustment, especially in patients with chronic kidney disease (CKD). Decreased glomerular filtration rate is common in older patients with cardiovascular disease.

OBJECTIVE

The aim of this study was to establish a digoxin population pharmacokinetic model in older patients with heart failure and CKD and to optimize the digoxin dose strategy.

METHODS

Older patients with heart failure and CKD aged > 60 years from January 2020 to January 2021 and who had an estimated glomerular filtration rate (eGFR) < 90 mL/min/1.73 m² or urine protein production were enrolled in this retrospective study. Population pharmacokinetic analysis and Monte Carlo simulations (n = 1000) were performed using NONMEN software. The precision and stability of the final model were analyzed by graphical and statistical methods.

RESULTS

Overall, 269 older patients with heart failure were enrolled. A total of 306 digoxin concentrations were collected, with a median value of 0.98 ng/mL (interquartile range [IQR] 0.62-1.61, range 0.04-4.24). The median age was 68 years (IQR 64-71, range 60-94) and eGFR was 53.6 mL/min/1.73 m² (IQR 38.1-65.2, range 11.4-89.8). A one-compartment model with first-order elimination was developed to describe the digoxin pharmacokinetics. Typical values for clearance and volume of distribution were 2.67 L/h and 36.9 L, respectively. Dosage simulations were stratified by eGFR and metoprolol. Doses of 62.5 and 125 μg were recommended for older patients with eGFR < 60 mL/min/1.73 m².

CONCLUSIONS

A population pharmacokinetic model of digoxin in older patients with heart failure and CKD was established in this study. A novel digoxin dosage strategy was recommended in this vulnerable population.

Machine Learning-Based Prediction of Digoxin Toxicity in Heart Failure: A Multicenter Retrospective Study

Digoxin toxicity (plasma digoxin concentration ≥0.9 ng/mL) is associated with worsening heart failure (HF). Decision tree (DT) analysis, a machine learning method, has a flowchart-like model where users can easily predict the risk of adverse drug reactions. The present study aimed to construct a flowchart using DT analysis that can be used by medical staff to predict digoxin toxicity. We conducted a multicenter retrospective study involving 333 adult patients with HF who received oral digoxin treatment. In this study, we employed a chi-squared automatic interaction detection algorithm to construct DT models. The dependent variable was set as the plasma digoxin concentration (≥ 0.9 ng/mL) in the trough during the steady state, and factors with p < 0.2 in the univariate analysis were set as the explanatory variables. Multivariate logistic regression analysis was conducted to validate the DT model. The accuracy and misclassification rates of the model were evaluated. In the DT analysis, patients with creatinine clearance <32 mL/min, daily digoxin dose ≥1.6 µg/kg, and left ventricular ejection fraction ≥50% showed a high incidence of digoxin toxicity (91.8%; 45/49). Multivariate logistic regression analysis revealed that creatinine clearance <32 mL/min and daily digoxin dose ≥1.6 µg/kg were independent risk factors. The accuracy and misclassification rates of the DT model were 88.2 and 46.2 ± 2.7%, respectively. Although the flowchart created in this study needs further validation, it is straightforward and potentially useful for medical staff in determining the initial dose of digoxin in patients with HF.

Comparison of creatinine-based equations for estimating renal function for digoxin dose adjustment in patients with atrial fibrillation and heart failure

The aim of this study was to determine an appropriate equation for estimating renal function to dose regulate the serum digoxin trough concentration to a target of <0.9 ng/ml in patients with atrial fibrillation (AF) and heart failure (HF). All patients received 0.125 mg oral digoxin daily. The estimated glomerular filtration rate by the Modification of Diet in Renal Disease (eGFRMDRD ) equation deindexed based on body surface area had the highest correlation with digoxin trough concentrations (r = -0.450) compared to the Cockcroft-Gault equation (r = -0.415) or deindexed eGFR based on the Chronic Kidney Disease Epidemiology Collaboration (eGFRCKD-EPI ) equation (r = -0.416). The median digoxin trough concentrations were 0.60, 0.77, 0.97 and 1.30 ng/ml in patients with a deindexed eGFRMDRD  ≥ 60, 45-59, 30-44 and < 30 ml/min, respectively. The deindexed eGFRMDRD is an appropriate equation for digoxin dose adjustment in patients with AF and HF.

Initial treatment strategies in new-onset atrial fibrillation in critically ill burn patients

INTRODUCTION

Atrial fibrillation is associated with increased morbidity and mortality in critically ill patients. Few studies have specifically examined this arrhythmia in burn patients. Given the significant clinical implications of atrial fibrillation, understanding the optimal management strategy of this arrhythmia in burn patients is important. Consequently, the purpose of this study was to examine rate- and rhythm-control strategies in the management of new onset atrial fibrillation (NOAF) and assess their short term outcomes in critically ill burn patients.

METHODS

We identified all patients admitted to our institution's burn intensive care unit between January 2007 and May 2018 who developed NOAF. Demographic information and burn injury characteristics were captured. Patients were grouped into two cohorts based on the initial pharmacologic treatment strategy: rate-(metoprolol or diltiazem) or rhythm-control (amiodarone). The primary outcome was conversion to sinus rhythm. Secondary outcomes included relapse or recurrence of atrial fibrillation, drug-related adverse events, and complications and mortality within 30 days of the NOAF episode.

RESULTS

There were 68 patients that experienced NOAF, and the episodes occurred on median days 8 and 9 in the rate- and rhythm-control groups, respectively. The length of the episodes was not significantly different between the groups. Conversion to sinus rhythm occurred more often in the rhythm-control group (P = 0.04). There were no differences in the incidences of relapse and recurrence of atrial fibrillation, and the complications and mortality between the groups. Hypotension was the most common drug-related adverse event and occurred more frequently in the rate-control group, though this difference was not significant.

CONCLUSIONS

Conversion to sinus rhythm occurred more often in the rhythm-control group. Outcomes were otherwise similar in terms of mortality, complications, and adverse events. Hypotension occurred less frequently in the rhythm-control group, and although this difference was not significant, episodes of hypotension can have important clinical implications. Given these factors, along with burn patients having unique injury characteristics and a hypermetabolic state that may contribute to the development of NOAF, when choosing between rate- and rhythm control strategies, rhythm-control with amiodarone may be a better choice for managing NOAF in burn patients.