Serum albumin level and abnormal corrected QT interval in patients with coronary artery disease and chronic kidney disease

Abstract

Concentrations of serum albumin were significantly lower in the patients with an abnormal QTc interval and were associated with QTc prolongation. Further studies are needed to clarify whether lower serum albumin plays a role in the pathogenesis of QTc prolongation.

Deep Learning Model for Detection of Hypoalbuminemia Using Electrocardiography

“…[32,33] Toma et al and Wu et al showed that prolonged QT intervals and T accentuated deceleration of the T wave correlated with hypoalbuminemia. [13,34] In this study, the DLM could predict the development of hypoalbuminemia. The DLM may detect structural and physiological changes that affect the vulnerability of hypoalbuminemia.…”

“…[4,5] Therefore, the detection of hypoalbuminemia is important to not only monitor nutritional and homeostasis general conditions, but also early-diagnose other diverse diseases using hypoalbuminemia as a surrogate factor and detect deterioration of the patient. [11][12][13][14][15][16] Although laboratory tests for albumin are diagnostic tests for hypoalbuminemia, they require blood sampling and infrastructure for a blood analysis. Therefore, the detection of hypoalbuminemia based on laboratory tests could not be used in daily life and low-income countries.…”

“…As the albumin level affects diverse cardiovascular statuses, we hypothesized that we could detect hypoalbuminemia based on ECG. [11][12][13][14][15][16] The most important aspect of deep learning is its ability to extract features and develop an algorithm using various types of data, such as images, 2D data, and waveforms. [31] Attia et al and our study group developed a DLM to screen for heart failure, arrhythmia, valvular heart disease, left ventricular hypertrophy, electrolyte imbalance, and anemia.…”

“…[10] Albumin is associated with right ventricular free wall longitudinal strain and development and prognosis of cardiovascular diseases, which can be correlated with electrocardiography (ECG). [11][12][13][14][15][16] However, it is not simple to provide diagnostic tools using such subtle ECG changes based on conventional statistical methods. Recent studies have shown that deep learning models using ECG could detect diverse diseases, including anemia, valvular heart disease, heart failure, myocardial infarction, and electrolyte imbalances.…”

Moxifloxacin concentration correlate with QTc interval in rifampicin-resistant tuberculosis patients on shorter treatment regimens

“…Wu et al reported that concentrations of serum albumin were significantly lower in patients with an abnormal QTc interval and were associated with QTc prolongation. Hypoalbuminemia may be a marker of comorbidity burden, a low serum albumin level may reflects an inflammatory burden leading to heart failure [30] . A low albumin level is associated with inflammation, and impaired synthetic function of liver and this has been linked to diastolic dysfunction in humans which indicate the association between inflammation and ventricular arrhythmias [31] .…”