Matthew W. Segar

ORCID: 0000-0001-6100-0897
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About
Contact & Profiles
Research Areas
  • Cardiovascular Function and Risk Factors
  • Heart Failure Treatment and Management
  • Diabetes Treatment and Management
  • Cardiovascular Health and Risk Factors
  • Epigenetics and DNA Methylation
  • Diabetes Management and Research
  • Cardiac pacing and defibrillation studies
  • Atrial Fibrillation Management and Outcomes
  • Cardiac Imaging and Diagnostics
  • Cardiovascular and exercise physiology
  • Frailty in Older Adults
  • Blood Pressure and Hypertension Studies
  • Cardiac Structural Anomalies and Repair
  • Metabolism, Diabetes, and Cancer
  • Acute Myocardial Infarction Research
  • Cardiac Arrhythmias and Treatments
  • Mechanical Circulatory Support Devices
  • Hormonal Regulation and Hypertension
  • Health Systems, Economic Evaluations, Quality of Life
  • Healthcare Policy and Management
  • Hyperglycemia and glycemic control in critically ill and hospitalized patients
  • Health disparities and outcomes
  • Pancreatic function and diabetes
  • Electrolyte and hormonal disorders
  • Cardiovascular Disease and Adiposity

Baylor College of Medicine
2024

The University of Texas Southwestern Medical Center
2019-2022

Parkland Health & Hospital System
2021

Southwestern Medical Center
2020

Southwestern University
2020

Indiana University – Purdue University Indianapolis
2014-2016

Indiana University School of Medicine
2014-2016

Indiana University
2016

Indianapolis Zoo
2014

Institute of Bioinformatics
2014

To develop and validate a novel, machine learning-derived model to predict the risk of heart failure (HF) among patients with type 2 diabetes mellitus (T2DM).Using data from 8,756 free at baseline HF, <10% missing data, enrolled in Action Control Cardiovascular Risk Diabetes (ACCORD) trial, we used random survival forest (RSF) methods, nonparametric decision tree learning approach, identify predictors incident HF. The RSF was externally validated cohort individuals T2DM using...

10.2337/dc19-0587 article EN Diabetes Care 2019-09-13

Emerging results indicate that cancer stem-like cells contribute to chemoresistance and poor clinical outcomes in many cancers, including ovarian cancer. As epigenetic regulators play a major role the control of normal stem cell differentiation, epigenetics may offer useful arena develop strategies target cells. Epigenetic aberrations, especially DNA methylation, silence tumor-suppressor differentiation-associated genes regulate survival (OCSC). In this study, we tested hypothesis...

10.1158/0008-5472.can-14-1022 article EN Cancer Research 2014-07-18

A key step in the process of metastasis is epithelial-to-mesenchymal transition (EMT). We hypothesized that epigenetic mechanisms play a role EMT and to test this hypothesis we analyzed global gene-specific changes DNA methylation during TGF-β-induced ovarian cancer cells. Epigenetic profiling using Infinium HumanMethylation450 BeadChip (HM450) revealed extensive (P < 0.01) after TGF-β stimulation (468 390 CpG sites altered at 48 120 h post cytokine treatment, respectively). The majority...

10.4161/15592294.2014.971608 article EN Epigenetics 2014-11-02

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

10.1161/circulationaha.120.053134 article EN Circulation 2021-04-13

Studies examining gender-based differences in outcomes of patients experiencing out-of-hospital cardiac arrest have demonstrated that, despite a higher likelihood return spontaneous circulation, women do not survival.Patients successfully resuscitated from enrolled the CCC trial (Trial Continuous or Interrupted Chest Compressions during CPR) were included. Hierarchical multivariable logistic regression models constructed to evaluate association between gender and survival after adjustment...

10.1161/circulationaha.120.050427 article EN Circulation 2020-12-15

Traditional models for predicting in-hospital mortality patients with heart failure (HF) have used logistic regression and do not account social determinants of health (SDOH).To develop validate novel machine learning (ML) HF that incorporate SDOH.This retrospective study the data from Get With The Guidelines-Heart Failure (GWTG-HF) registry to identify hospitalizations between January 1, 2010, December 31, 2020. included acute decompensated who were hospitalized at GWTG-HF participating...

10.1001/jamacardio.2022.1900 article EN JAMA Cardiology 2022-07-06

Background: Supervised aerobic exercise training (ET) is recommended for stable outpatients with heart failure (HF) reduced ejection fraction (HFrEF). Frailty, a syndrome characterized by increased vulnerability and decreased physiologic reserve, common in patients HFrEF associated higher risk of adverse outcomes. The effect modification baseline frailty on the efficacy ET not known. Methods: Stable randomized to versus usual care HF-ACTION (Heart Failure: A Controlled Trial Investigating...

10.1161/circulationaha.122.059983 article EN Circulation 2022-07-11

Abstract: Postoperative atrial fibrillation (POAF) after cardiac surgery is associated with elevated morbidity and mortality. Although current prediction models have limited efficacy, several perioperative interventions can reduce patients' risk of POAF. These begin preoperative medications, including beta-blockers amiodarone. Moreover, patients should be screened for preexisting (AF) so that concomitant surgical ablation left appendage occlusion performed in appropriate candidates....

10.21037/jtd-23-1626 article EN Journal of Thoracic Disease 2024-02-01

Abstract Background Excess muscle fat is observed in obesity and associated with greater burden of cardiovascular risk factors higher mortality. Liraglutide reduces total body weight visceral but its effect on adverse composition unknown. Methods This a pre‐specified secondary analysis randomized, double‐blind, placebo‐controlled trial that examined the effects liraglutide plus lifestyle intervention adipose tissue ectopic among adults without diabetes mass index ≥30 kg/m 2 or ≥27 metabolic...

10.1002/jcsm.13445 article EN cc-by Journal of Cachexia Sarcopenia and Muscle 2024-04-01

To evaluate the associations between long-term change and variability in glycemia with risk of heart failure (HF) among patients type 2 diabetes mellitus (T2DM).Among participants T2DM enrolled Action to Control Cardiovascular Risk Diabetes (ACCORD) trial, HbA1c was assessed from stabilization following enrollment (8 months) 3 years follow-up as follows: average successive (ASV) (average absolute difference values), coefficient variation (SD/mean), SD. Participants HF at baseline or within...

10.2337/dc19-2541 article EN Diabetes Care 2020-06-15

Sodium-glucose cotransporter 2 (SGLT2) inhibitors have been shown to reduce the risk of hospitalization for heart failure (HHF) and composite kidney outcomes, but mediators underlying these benefits are unknown.Among participants from VERTIS CV, a trial patients with type diabetes mellitus atherosclerotic cardiovascular disease randomized ertugliflozin versus placebo, Cox proportional hazards regression models were used evaluate percentage mediation efficacy on first HHF outcome in 26...

10.1111/dom.14769 article EN Diabetes Obesity and Metabolism 2022-05-23

The optimal approach to identify individuals with diabetes who are at a high risk for developing heart failure (HF) inform implementation of preventive therapies is unknown, especially in those without atherosclerotic cardiovascular disease (ASCVD).

10.1161/circulationaha.123.067530 article EN Circulation 2023-11-11

Racial disparities in heart failure hospitalization and mortality are well established; however, the association between different social determinants of health (SDOH) length stay (LOS) extent to which this may differ across racial groups is not established.We utilized data from Get With The Guidelines-Heart Failure registry evaluate SDOH, as determined by patients' residential ZIP Code LOS among patients hospitalized with failure. We also assessed race-specific contribution Code-level SDOH...

10.1161/circheartfailure.121.009401 article EN Circulation Heart Failure 2022-11-01
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