Matthew W. Segar

Dec 6, 2024 | digitalcommons.library.tmc.edu | Matthew W. Segar |Stephanie A Coulter |Joseph Rogers |Arjun R Raghuram

BACKGROUND: Cardiovascular disease is the leading cause of death among women in the United States. Past research has highlighted the importance of the relationship between female-specific demographics and traditional risk factors. The present analysis aimed to identify the prevalence of modifiable risk factors in women attending a community cardiovascular health screening. METHODS: Data collected between 2011 and 2019 were obtained from the Houston HeartReach Registry.

Dec 5, 2024 | digitalcommons.library.tmc.edu | Byron C. Jaeger |Matthew W. Segar |Kershaw V. Patel |Vijay Nambi

BACKGROUND: Heart failure (HF) risk and the underlying risk factors vary by race. Traditional models for HF risk prediction treat race as a covariate in risk prediction and do not account for significant parameters such as cardiac biomarkers. Machine learning (ML) may offer advantages over traditional modeling techniques to develop race-specific HF risk prediction models and to elucidate important contributors of HF development across races.

Dec 2, 2024 | onlinelibrary.wiley.com | Neil Keshvani |Syed M. Rizvi |Matthew W. Segar |James Miller

Introduction Intravenous (IV) diuretics are the primary treatment strategy in acute decompensated heart failure (ADHF).1 However, the response to diuretic therapy varies, with 20–50% of ADHF patients noted to have diuretic resistance (DR), defined as failure to increase urine or sodium output sufficiently in response to loop diuretics.2, 3 DR is associated with prolonged hospital stays, higher residual congestion at discharge, and an increased risk of readmission and mortality.4-6 Thus, there...

Sep 6, 2024 | onlinelibrary.wiley.com | Matthew W. Segar |Muhammad Usman |Kershaw V. Patel |Muhammad Khan

Introduction Individuals with type 2 diabetes (T2D) have a significantly higher risk of heart failure (HF) than those without T2D despite optimal control of other risk factors.1-3 Thus, there has been an increased focus on developing novel approaches to reduce HF risk in this population.4 Targeted allocation of effective preventive interventions is contingent upon identifying patients at the highest risk of developing HF.

Jun 13, 2024 | digitalcommons.library.tmc.edu | Matthew W. Segar |Mehdi Razavi |Karen Mullins |Alexander Marzec

BACKGROUND: Postoperative atrial fibrillation (POAF) frequently complicates cardiac surgery. Predicting POAF can guide interventions to prevent its onset. This study assessed the incidence, risk factors, and related adverse outcomes of POAF after cardiac surgery. METHODS: A cohort of 1,606 patients undergoing cardiac surgery at a tertiary referral center was analyzed.