Matthew M. Kalscheur

University of Wisconsin–Madison

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Ryan Kipp

University of Wisconsin–Madison

Lee L. Eckhardt

University of Wisconsin–Madison

Daniel Modaff

University of Wisconsin–Madison

Jennifer M. Wright

University of Wisconsin–Madison

Blake E. Fleeman

University of Wisconsin–Madison

Zachary D. Goldberger

University of Wisconsin–Madison

Mohamed H. Hamdan

University of Wisconsin–Madison

Christie M. Bartels

University of Wisconsin–Madison

Sunil K. Vasireddi

University of Wisconsin–Madison

Amy Kind

University of Wisconsin–Madison

Cooperative Institutions

University of Wisconsin–Madison

UW Health University Hospital

University of Wisconsin System

Stanford University

Mayo Clinic

Johns Hopkins University

Mayo Clinic in Arizona

WinnMed

Highland Community College - Illinois

University of Colorado Anschutz Medical Campus

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Caveolin-3 and Caveolae regulate ventricular repolarization

Journal of Molecular and Cellular Cardiology (2023)

Yogananda S. Markandeya Zachery R. Gregorich Li Feng Vignesh Ramchandran Thomas O' Hara

Caveolin 3

Caveolin

Afterdepolarization

Knockout mouse

Cardiac Electrophysiology

10.1016/j.yjmcc.2023.02.005

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Citations (6)

Abstract 11682: Race, Sex, and Socioeconomic Disparities in Hospitalization With Ventricular Tachycardia or Cardiac Arrest in a National Medicare Cohort

Circulation (2021)

Ryan Kipp Matthew M. Kalscheur Ann M. Sheehy Christie M. Bartels Amy Kind

Introduction: Significant disparities by race, sex, and socioeconomic status exist in cardiovascular care. Yet little is known regarding the disparities in patients hospitalized with life-threatening arrhythmias. Hypothesis: We hypothesize that there are differences in race, sex, and socioeconomic status between patients who develop ventricular tachycardia (VT) or cardiac arrest (CA). Methods: Using the national 100% U.S. Medicare inpatient dataset of fee-for-service beneficiaries admitted with VT or CA from January 1, 2014 through November 30, 2014, multivariable logistic regression was constructed to examine the characteristics associated with hospitalization with VT compared to those with CA. Neighborhood-level socioeconomic disadvantage for each patient was measured by the Area Deprivation Index which reflects 17 dimensions related to education, income, housing, and employment factors. Results: Of 195,806 patients admitted with VT or CA, 117,930 (60%) were admitted with VT and 77,876 (40%) with CA. Those residing in the most disadvantaged neighborhoods had a significantly lower rate of hospitalization with VT, and a higher rate of hospitalization with CA (Figure 1). After adjustment for baseline demographics, comorbidities, and hospital characteristics, living in one of the top 20% most disadvantaged US neighborhoods (OR 1.09, 95% CI 1.05-1.12), female sex (OR 1.27, 95% CI 1.24-1.29), non-White race (OR 1.16, 95% CI 1.12-1.20), and non-urban residence (OR 1.10, 95% CI 1.06-1.14) were associated with greater odds of hospitalization with CA. Conclusion: Significant differences exist in the race, sex, and neighborhood socioeconomic characteristics for patients hospitalized with VT compared to those with CA. Possible etiologies for these differences include geographic or economic barriers in accessing acute medical care or trust in the medical system. Further studies are needed to investigate the drivers and solutions to this difference.

10.1161/circ.144.suppl_1.11682

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Machine Learning in CRT Outcomes

JACC. Clinical electrophysiology (2021)

Lee L. Eckhardt Matthew M. Kalscheur

10.1016/j.jacep.2021.08.003

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Abstract 18079: Forecasting Inpatient Cardiology Consultation and Transthoracic Echocardiogram Volumes

Circulation (2023)

Catherine Wang Matthew C. Tattersall Hessam Bavafa Bob Batt Matthew M. Kalscheur

Introduction: The demand for inpatient cardiology consultation and transthoracic echocardiography (TTE) places a significant strain on hospital resources. There is limited understanding of the frequency and predictors of cardiology consultations and TTE in a real-world inpatient setting which hinders efforts to optimize staffing and workload expectations. Forecasting methods may shed light on these critical aspects of healthcare delivery. Hypothesis: Forecasting methods may predict the daily volumes of inpatient cardiology consultations and TTEs in an academic medical center. Methods: Our study examines the daily consultation and TTE ordering patterns using a dataset of over 26000 adult patients admitted to a teaching hospital in 2019 under “observation” or “inpatient” status. Using individual patient characteristics and clinical data, we sought to forecast the probability of a cardiology consult or TTE being ordered at the patient level and then aggregated these probabilities to predict daily volumes. The dataset was partitioned into a training cohort (80%) and a testing cohort (20%). Models tested included logistic regression, random forest, support vector machine, neural networks, gradient boosting machines, and hybrid models. Model performance was assessed using mean absolute error (MAE). Results: In 2019, the average daily cardiology consult and TTE volumes were 2.8 (SD = 1.5) and 13 (SD = 4.5), respectively, in the hospital studied. No strong seasonal pattern was observed in the consultation and TTE orders. Utilizing individual-level forecasting followed by aggregation at a daily level resulted in reasonable daily estimates. Preliminary results indicate that the best-performing machine learning-based models for individual predictions yield MAE values ranging from 1.06 to 1.19 for consultations and from 3.18 to 3.62 for TTEs. These findings suggest that, on average, the predictions deviate by approximately 1 unit in absolute value for consultations and around 3 units in absolute value for TTEs from the true values. Conclusion: Our findings suggest the feasibility of utilizing machine learning models for individual predictions to forecast and facilitate planning for hospital inpatient cardiology consultations and TTE volumes.

Staffing

10.1161/circ.148.suppl_1.18079

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Evaluation of an adaptive, rule-based dosing algorithm to maintain therapeutic anticoagulation during atrial fibrillation ablation

Cardiovascular Digital Health Journal (2023)

Matthew M. Kalscheur Matthew Martini Marcus Mahnke Fauzia Osman Daniel Modaff

Cerebral thromboembolism during atrial fibrillation (AF) ablation is an infrequent (0.17%) complication in part owing to strict adherence to intraprocedural anticoagulation. Failure to maintain therapeutic anticoagulation can lead to an increase in events, including silent cerebral ischemia.

Activated clotting time

10.1016/j.cvdhj.2023.11.001

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Citations (1)

PO-02-019 DEEP FREEZE: A CASE OF PULMONARY VEIN EPICARDIAL CONNECTION REFRACTORY TO RADIOFREQUENCY ABLATION BUT SUCCESSFULLY ABLATED WITH CRYOBALLOON

Heart Rhythm (2024)

Colton Thompson Lee L. Eckhardt Zachary D. Goldberger Petar G. Igić Matthew M. Kalscheur

Refractory (planetary science)

10.1016/j.hrthm.2024.03.899

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Replacing Hardware With “Viralware”

Journal of the American College of Cardiology (2019)

Lee L. Eckhardt Matthew M. Kalscheur

10.1016/j.jacc.2019.01.040

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PO-642-02 WIDE AND NARROW COMPLEX TACHYCARDIA AFTER TRANSCATHETER AORTIC VALVE REPLACEMENT

Heart Rhythm (2022)

Luke X. Chong Matthew M. Kalscheur Daniel Modaff

Valve replacement

10.1016/j.hrthm.2022.03.155

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Long‐Term Outcome of Patients with Bifascicular Block and Unexplained Syncope Following Cardiac Pacing

Pacing and Clinical Electrophysiology (2016)

Matthew M. Kalscheur Paolo Donateo Kevin Wenzke Milena Aste Daniele Oddone

According to the ACC/AHA/HRS guidelines, cardiac pacing is reasonable in patients with bifascicular block (BF-B) and syncope when other causes have been excluded. The purpose of this study was to assess the long-term outcome of patients with BF-B and unexplained syncope following cardiac pacing.Between 2009 and 2015, we identified 43 consecutive patients (mean age of 78 ± 12 years, 64% males) who presented with syncope and BF-B and had received a pacemaker (PM). During a mean follow-up period of 31 ± 21 months, syncope recurred in seven patients (16%): 7% (95% standard error [SE] ± 3%) at 1 year and 18% (95% SE ± 7%) at 5 years. At univariable analysis, the only predictor of syncope recurrence was empiric pacing (P = 0.03). There were no syncope recurrences in the 12 patients who received a PM following a positive electrophysiological study (EPS) and the five patients with documentation of paroxysmal atrioventricular block (AVB) during cardiac monitoring (insertable loop recorder [ILR]), (EPS/ILR Group, n = 17) compared to seven of 26 (27%) patients who received empiric pacing (Empiric Group, n = 26; P = 0.02). Progression to high-degree AVB was documented during follow-up in 16 (37%) patients: nine of 17 (53%) patients in the EPS/ILR Group and seven of 26 (27%) patients in the Empiric Group (P = 0.11). There were no injuries reported during ILR monitoring.We have shown that syncope recurs not infrequently in patients with BF-B who received pacing for syncope. Nearly one in four patients who had empiric pacing suffered syncope recurrence compared to no recurrences in patients who received a PM following a positive EPS or documentation of transient AVB.

Atrioventricular block

Implantable loop recorder

Cardiac Pacing

10.1111/pace.12946

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Citations (29)

Screening for Atrial Fibrillation—Refining the Target

JAMA Network Open (2022)

Matthew M. Kalscheur Zachary D. Goldberger

US Preventive Services Task Force; Karina W. Davidson, PhD, MASc; Michael J. Barry, MD; Carol M. Mangione, MD, MSPH; Michael Cabana, MD, MA, MPH; Aaron B. Caughey, MD, PhD; Esa M. Davis, MD, MPH; Katrina E. Donahue, MD, MPH; Chyke A. Doubeni, MD, MPH; John W. Epling Jr, MD, MSEd; Martha Kubik, PhD, RN; Li Li, MD, PhD, MPH; Gbenga Ogedegbe, MD, MPH; Lori Pbert, PhD; Michael Silverstein, MD, MPH; James Stevermer, MD, MSPH; Chien-Wen Tseng, MD, MPH, MSEE; John B. Wong, MD

10.1001/jamanetworkopen.2021.39910

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Citations (2)