Search

Background: Cancer patients with diabetes are at increased risk for cardiovascular diseases due to common risk factors and well-documented drug-associated cardiotoxicity. Sodium-glucose cotransporter-2 (SGLT2) inhibitors have shown cardiovascular benefits in patients with diabetes, but their effects on cancer patients remain unclear. This study aimed to evaluate the cardiovascular outcomes associated with SGLT2 inhibitor therapy in patients with concomitant diabetes and cancer. Methods: We conducted a systematic review and meta-analysis of cohort studies comparing cardiovascular outcomes between cancer patients with diabetes receiving SGLT2 inhibitors and those not receiving SGLT2 inhibitors. PubMed, Embase, and the Cochrane Library were searched from inception to February 29, 2024. The primary outcome was all-cause mortality, and the secondary outcomes were heart failure hospitalization, and adverse events. Random-effect models were used to calculate pooled risk ratios (RR) with 95% confidence intervals (CI). Subgroup and sensitivity analyses were conducted to identify potential sources of heterogeneity and explore the effect of SGLT2 inhibitors on mitigating cardiotoxicity. Results: Nine cohort studies involving 82,654 patients were included. SGLT2 inhibitor use was associated with a significantly lower risk of all-cause mortality (RR 0.46, 95% CI 0.31–0.68, P < 0.0001; I2 = 98%) and heart failure hospitalization (RR 0.49, 95% CI 0.30–0.81, P = 0.006; I2 = 21%) compared to non-use. The mortality benefit remained significant in patients receiving anthracycline chemotherapy (RR 0.50, 95% CI 0.28–0.89, P = 0.02; I2 = 71%). SGLT2 inhibitor use was also associated with a lower risk of sepsis (RR 0.32, 95% CI 0.23–0.44, P < 0.00001; I2 = 0%) and no increased risk of diabetic ketoacidosis (RR 0.66, 95% CI 0.20–2.16, P = 0.49; I2 = 0%). Conclusions: SGLT2 inhibitor therapy is associated with lower risks of all-cause mortality and heart failure hospitalization in patients with concomitant diabetes and cancer. These findings suggest that SGLT2 inhibitors may offer cardiovascular benefits in this high-risk population. Randomized controlled trials are needed to validate these findings and evaluate the safety and efficacy of SGLT2 inhibitors in specific cancer types and treatment regimens. [ABSTRACT FROM AUTHOR]

Background: Exercise electrocardiography (ECG) is a noninvasive test aiming at producing ischemic changes. However, resting ECG cannot be adopted in diagnosing myocardial ischemia till ST-segment depressions. Therefore, this study aimed to detect myocardial energy defects in resting ECG using the Hilbert–Huang transformation (HHT) in patients with angina pectoris. Methods: Electrocardiographic recordings of positive exercise ECG by performing coronary imaging test (n = 26) and negative exercise ECG (n = 47) were collected. Based on the coronary stenoses severity, patients were divided into three categories: normal, < 50%, and ≥ 50%. During the resting phase of the exercise ECG, all 10-s ECG signals are decomposed by HHT. The RT intensity index, composed of the power spectral density of the P, QRS, and T components, is used to estimate the myocardial energy defect. Results: After analyzing the resting ECG using HHT, the RT intensity index was significantly higher in patients with positive exercise ECG (27.96%) than in those with negative exercise ECG (22.30%) (p < 0.001). In patients with positive exercise ECG, the RT intensity index was gradually increasing with the severity of coronary stenoses: 25.25% (normal, n = 4), 27.14% (stenoses < 50%, n = 14), and 30.75% (stenoses ≥ 50%, n = 8). The RT intensity index of different coronary stenoses was significantly higher in patients with negative exercise ECG, except for the normal coronary imaging test. Conclusions: Patients with coronary stenoses had a higher RT index at the resting stage of exercise ECG. Resting ECG analyzed using HHT could be a method for the early detection of myocardial ischemia. [ABSTRACT FROM AUTHOR]

Background: The current method to evaluate the autonomic balance after renal denervation (RDN) relies on heart rate variability (HRV). However, parameters of HRV were not always predictive of response to RDN. Therefore, the complexity and disorder of heart rhythm, measured by entropy of entropy (EoE) and average entropy (AE), have been used to analyze autonomic dysfunction. This study evaluated the dynamic changes in autonomic status after RDN via EoE and AE analysis.Methods: Five patients were prospectively enrolled in the Global SYMPLICITY Registry from 2020 to 2021. 24-h Holter and ambulatory blood pressure monitoring (ABPM) was performed at baseline and 3 months after RDN procedures. The autonomic status was analyzed using the entropy-based AE and EoE analysis and the conventional HRV-based low frequency (LF), high frequency (HF), and LF/HF.Results: After RDN, the ABPM of all patients showed a significant reduction in blood pressure (BP) and heart rate. Only AE and HF values of all patients had consistent changes after RDN (p < 0.05). The spearman rank-order correlation coefficient of AE vs. HF was 0.86, but AE had a lower coefficient of variation than HF.Conclusions: Monitoring the AE and EoE analysis could be an alternative to interpreting autonomic status. In addition, a relative change of autonomic tone, especially an increasing parasympathetic activity, could restore autonomic balance after RDN. [ABSTRACT FROM AUTHOR]