Search Results (4)

Background: The role of digoxin in atrial fibrillation, particularly in patients with heart failure, has long been debated. Observational studies reporting higher mortality have fueled skepticism, yet growing evidence suggests that these findings largely reflect prescription bias, confounding by indication, and inadequate adjustment for serum-level rather than intrinsic toxicity. Objective: To reassess digoxin’s role in atrial fibrillation with heart failure using contemporary evidence and to propose a physiology-based, personalized monitoring framework. Evidence review: We reevaluated the studies that initially linked digoxin to excess mortality and reassessed these associations through three analytic pillars: randomized evidence, bias deconstruction, and exposure–response relationships. Across datasets, low serum digoxin concentrations were consistently associated with stable resting rate control without increasing mortality. Key findings: Low-dose, continuously administered digoxin is a viable second-line option for atrial fibrillation rate control in patients who are hypotensive or intolerant of β-blockers. Safety is concentration-dependent; adverse outcomes increase at higher serum digoxin concentration (≥1.2 ng/mL). Resting heart rate can serve as a contextual surrogate of exposure: persistent HR > 100 bpm in stable patients usually reflects underexposure rather than digoxin toxicity, whereas bradycardia should prompt immediate serum digoxin concentration testing. Proposal: A probability-based monitoring model that integrates heart rate, renal function, dosage, electrolytes, and drug–drug interactions to guide when serum digoxin concentration measurement is warranted. As a future direction, a supervised “pill-in-the-pocket” supplemental dose strategy could be evaluated for transient tachycardia in selected, stable patients. Conclusions: When properly dosed and contextually monitored, digoxin remains a safe, effective, and individualized rate-control option in atrial fibrillation with heart failure. Prospective validation of probability-guided monitoring and evaluation of a “pill-in-the-pocket” approach could simplify digoxin management while maintaining safety. Full article

Background and Objectives: Digoxin is a pharmacological agent of natural origin that is still occasionally administered in the intensive care unit (ICU). The objective of this study was to assess the efficacy of routine therapeutic drug monitoring (TDM) of digoxin in ICU patients with heart failure. Materials and Methods: This retrospective, single-center study was conducted using data from the ICU database of the Silesian Center for Heart Diseases in Zabrze, Poland. A total of 980 ICU admissions between January 2018 and July 2023 were screened, and 103 patients met the inclusion criteria. Patients were excluded if they had not received digoxin during hospitalization, had only one digoxin level measurement, or did not meet the established criteria for heart failure. Results: Women required significantly lower doses of digoxin compared to men (0.171 ± 0.053 mg vs. 0.224 ± 0.080 mg; p < 0.001). Patients who died had significantly higher serum digoxin concentrations than survivors (1.33 ± 0.59 ng/mL vs. 1.03 ± 0.43 ng/mL; p = 0.003). Similarly, patients with liver failure had higher digoxin levels compared to those without liver dysfunction (1.31 ± 0.58 ng/mL vs. 1.06 ± 0.46 ng/mL; p = 0.016). A weak negative correlation was found between age and the administered dose (r = −0.20; p = 0.048), and a weak positive correlation was observed between serum digoxin concentration and NT-proBNP levels (r = 0.23; p = 0.048). Conclusions: Among ICU patients with multi-organ failure, those with concomitant liver dysfunction tended to reach higher serum digoxin concentrations. Routine therapeutic drug monitoring of digoxin in ICU patients appears beneficial and may help to optimize dosing and reduce adverse effects. Full article

The safety of high-alert medication treatment is still a challenge all over the world. Approximately one-half of adverse drug events (ADEs) are related to high-alert medications, which motivates us to improve the predicament faced in clinical practice. The purpose of this study is to use machine-learning techniques to predict the risk of high-alert medication treatment. Taking the cardiovascular drug digoxin as an example, we collected the records of 513 patients who received the pertinent therapy during hospitalization at a tertiary medical center in Taiwan. Considering serum digoxin concentration (SDC) is the primary indicator for assessing the risk of digoxin therapy, patients with SDC being controlled at the recommended range before their discharge were defined as a low-risk population; otherwise, patients were defined as the high-risk population. Weka 3.9.4—an open source machine learning software—was adopted to develop binary classification models to predict the risk of digoxin therapy by a number of machine-learning techniques, including k-nearest neighbors (kNN), decision tree (C4.5), support vector machine (SVM), random forest (RF), artificial neural network (ANN) and logistic regression (LGR). The results showed that the performance of RF was the best, followed by C4.5 and ANN; the remaining classifiers performed poorly. This study confirmed that machine-learning techniques can yield favorable prediction effectiveness for high-alert medication treatment, thereby decreasing the risk of ADEs and improving medication safety. Full article

Objectives. To collect the data about the consumption of digoxin, evaluate the tendencies towards usage of this drug during 2004–2007, and to find departments, which cover the main part of digoxin consumption in a tertiary hospital. To evaluate the intensity of serum digoxin concentration measurements during 2005–2007.
Material and methods. Our study was carried out in a tertiary hospital with 2600 beds and 63 departments. Consumption of digoxin is expressed in defined daily doses per 100 occupied beds daily during 2004–2007. All serum concentration measurements in 2005–2007 were evaluated.
Results. The main consumers of digoxin in 2007 were the Units of Endocrinology, Pulmonology and Immunology, Cardiology II, Neurosurgical Reanimation and Intensive Care, Neurology, Eye Disorders I, Intensive Care Unit of Cardiology; they consumed 51.05% of total digoxin. In total, 58 digoxin measurements were performed in 2005, 89 in 2006, and 64 in 2007. The intensity of serum concentration measurements for digoxin is 1/147 (one measurement for 147 defined daily doses) in 2005, 1/89 in 2006, and 1/107 in 2007. These results show that intensity of serum digoxin concentration measurements is low.
Conclusions. Twenty-two out of the 63 departments cover 90% of digoxin consumption per year. The changes in digoxin consumption were not statistically significantly different in 2004– 2007. There was a tendency towards an increase in serum digoxin concentration measurements during the 3-year period. Digoxin concentration outside therapeutic ranges was established in about half of all cases in 2005–2006, but there was an increase in normal serum concentration in 2007. Full article