Testosterone Replacement Therapy and Cardiovascular Disease: Balancing Safety and Risks in Hypogonadal Men

Optimal QT Correction Formula for Older Chinese: Guangzhou Biobank Cohort Study

INTRODUCTION

To identify the optimal QT correction formula for generating corrected QT (QTc) and cutoffs for prolonged QTc, and examine the associations with mortality and cardiovascular disease (CVD) in older Chinese.

METHODS

A prospective study included 24,611 Chinese aged 50+ years and without CVD at 2003-2008 from Guangzhou Biobank Cohort Study. QT interval was corrected by Bazett, Fridericia, Framingham and Hodges formulas. The slope and R2 of the QTc and heart rate regression were used to determine the optimal correction formula. The 95th percentile of QTc was used to defined prolonged QTc. Cox regression was used to examine associations of prolonged QTc with mortality and CVD. The net reclassification index was calculated to assess risk reclassification.

RESULTS

During an average follow-up of 15.3 years, 5,261 deaths and 5,539 CVD occurred. Optimal heart correction was observed for the Hodges formula, and Bazett formula performed the worst. Prolonged QTc corrected by Fridericia, Framingham and Hodges formulas had similar association strength with all-cause mortality, CVD mortality and incident CVD (especially coronary heart disease, myocardial infarction and ischemic stroke), with hazard ratios approximately being 1.25, 1.40, and 1.15, respectively. They also improved risk reclassification for all-cause mortality, CVD mortality and incident CVD by approximately 5%, 10%, and 6%, respectively. However, prolonged QTc corrected by Bazett formula was not associated with incident CVD and did not improve risk reclassification.

CONCLUSIONS

Hodges formula outperformed other formulas for heart rate correction. Fridericia, Framingham, and Hodges formulas can be used for death and cardiovascular risk prediction.

Association between testosterone replacement therapy and cardiovascular outcomes: A meta-analysis of 30 randomized controlled trials

BACKGROUND

The Cardiovascular safety of testosterone replacement therapy (TRT) among men with hypogonadism is not well established to date. Hence, we sought to evaluate the cardiovascular disease (CVD) outcomes among patients receiving testosterone therapy by using all recently published randomized controlled trials.

METHODS

We performed a systematic literature search on PubMed, EMBASE, and Clinicaltrial.gov for relevant randomized controlled trials (RCTs) from inception until September 30th, 2023.

RESULTS

A total of 30 randomized trials with 11,502 patients were included in the final analysis. The mean age was ranging from 61.61 to 61.82 years. Pooled analysis of primary and secondary outcomes showed that the incidence of any CVD events (OR, 1.12 (95%CI: 0.77-1.62), P = 0.55), stroke (OR, 1.01 (95%CI: 0.68-1.51), P = 0.94), myocardial infarction (OR, 1.05 (95%CI: 0.76-1.45), P = 0.77), all-cause mortality (OR, 0.94 (95%CI: 0.76-1.17), P = 0.57), and CVD mortality (OR, 0.87 (95%CI: 0.65-1.15), P = 0.31) was comparable between TRT and placebo groups.

CONCLUSION

Our analysis indicates that for patients with hypogonadism, testosterone replacement therapy does not increase the CVD risk and all-cause mortality.

Refined metabolite profiling in the collateral circulation of chronic total occlusion of coronary arteries: Insights from a metabolomics investigation

Background and aims

To investigate the disparities in coronary collateral circulation (CCC) and peripheral serum metabolites among patients presenting with chronic total occlusion (CTO) of the coronary arteries, a non-targeted metabolic approach was employed.

Methods

A cohort of 22 patients diagnosed with CTO of coronary arteries in the context of coronary heart disease (CHD) was selected for blood sample collection from CCC and peripheral arteries. The patients were categorized into two groups, namely CTO-C and CTO-P. The Waters UPLC I-Class Plus is combined with the Q Exactive high-resolution mass spectrometer for metabolite separation and detection. The acquired raw data from mass spectrometry is subsequently imported into Compound Discoverer 3.2 software for comprehensive analysis, which seamlessly integrates the BGI Metabolome Database (BMDB), mzCloud database, and ChemSpider online database. Subsequently, the identified differential metabolites were subjected to a metabolic pathway enrichment analysis, as documented in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database.

Results

A total of 403 differential metabolites were identified in CCC and peripheral serum samples from patients with CTO of coronary arteries in CHD. Compared to the CTO-P group, the CTO-C group exhibited decreased levels of metabolites such as Testosterone, dehydroepiandrosterone (DHA), deoxyacetone, while demonstrating increased levels of metabolites including Progesterone, androstanone, l-threonine. The biosynthesis pathway of steroid hormones emerges as the key metabolic pathway significantly associated with differential metabolites.

Conclusions

Through metabolomics analysis, distinct differences in the CCC and peripheral serum metabolites have been identified among patients with CTO of coronary artery. Notably, a significant association between the steroid hormone biosynthesis pathway and CCC has been observed.