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A Quasi-Experimental Study Of Medicaid Expansion And Urban Mortality In The American Northeast., Cyrus Ayubcha, Pedram Pouladvand, Soussan Ayubcha Nov 2021

A Quasi-Experimental Study Of Medicaid Expansion And Urban Mortality In The American Northeast., Cyrus Ayubcha, Pedram Pouladvand, Soussan Ayubcha

Marcus Institute of Integrative Health Faculty Papers

Objectives: To investigate the association of state-level Medicaid expansion and non-elderly mortality rates from 1999 to 2018 in Northeastern urban settings.

Methods: This quasi-experimental study utilized a synthetic control method to assess the association of Medicaid expansion on non-elderly urban mortality rates [1999-2018]. Counties encompassing the largest cities in the Northeastern Megalopolis (Washington D.C., Baltimore, Philadelphia, New York City, and Boston) were selected as treatment units (n = 5 cities, 3,543,302 individuals in 2018). Cities in states without Medicaid expansion were utilized as control units (n = 17 cities, 12,713,768 individuals in 2018).

Results: Across all cities, there …


Covid-19 In Patients With Hematologic Malignancies: A Single Center Retrospective Study, Xuejun Wang, Adam Binder, Usama Gergis, Lindsay Wilde, Md Oct 2021

Covid-19 In Patients With Hematologic Malignancies: A Single Center Retrospective Study, Xuejun Wang, Adam Binder, Usama Gergis, Lindsay Wilde, Md

Department of Medical Oncology Faculty Papers

Initial studies that described the novel coronavirus (COVID-19) reported increased morbidity and mortality in patients with cancer. Of this group, patients with hematologic malignancies (HM) had the highest disease severity and death rates. Subsequent studies have attempted to better describe how COVID-19 affects patients with HM. However, these studies have yielded variable and often contradictory results. We present our single-institution experience with patients with HM who were diagnosed with COVID-19 from March 2020 to March 2021. We report 62 total cases with 10 patients who died during this time. The overall mortality was 16.1%. Mortality during the first two waves …


Active Implantable Cardioverter-Defibrillators In Continuous-Flow Left Ventricular Assist Device Recipients, Kuldeep Shah, Rahul Chaudhary, Mohit K. Turagam, Mahek Shah, Brijesh Patel, Gregg Lanier, Dhanunjaya Lakkireddy, Jalaj Garg Jun 2021

Active Implantable Cardioverter-Defibrillators In Continuous-Flow Left Ventricular Assist Device Recipients, Kuldeep Shah, Rahul Chaudhary, Mohit K. Turagam, Mahek Shah, Brijesh Patel, Gregg Lanier, Dhanunjaya Lakkireddy, Jalaj Garg

Division of Cardiology Faculty Papers

Introduction

Implantable cardioverter-defibrillator (ICD) in patients with heart failure with reduced ejection fraction reduces mortality secondary to malignant arrhythmias. Whether end-stage heart failure (HF) with continuous-flow left ventricular assist device (cf-LVAD) derive similar benefits remains controversial.

Methods

We performed a systematic literature review and meta-analysis of all published studies that examined the association between active ICDs and survival in advanced HF patients with cfLVAD. We searched PubMed, Medline, Embase, Ovid, and Cochrane for studies reporting the association between ICD and all-cause mortality in advanced HF patients with cfLVAD. Mantel-Haenszel risk ratio (RR) random-effects model was used to summarize data.

Results …


Automated Analysis Of Risk Factors For Postictal Generalized Eeg Suppression, Xiuhe Zhao, Laura Vilella, Liang Zhu, M R Sandhya Rani, Johnson P Hampson, Jaison Hampson, Norma J Hupp, Rup K Sainju, Daniel Friedman, Maromi Nei, Catherine Scott, Luke Allen, Brian K Gehlbach, Stephan Schuele, Ronald M Harper, Beate Diehl, Lisa M Bateman, Orrin Devinsky, George B Richerson, Guo-Qiang Zhang, Samden D Lhatoo, Nuria Lacuey May 2021

Automated Analysis Of Risk Factors For Postictal Generalized Eeg Suppression, Xiuhe Zhao, Laura Vilella, Liang Zhu, M R Sandhya Rani, Johnson P Hampson, Jaison Hampson, Norma J Hupp, Rup K Sainju, Daniel Friedman, Maromi Nei, Catherine Scott, Luke Allen, Brian K Gehlbach, Stephan Schuele, Ronald M Harper, Beate Diehl, Lisa M Bateman, Orrin Devinsky, George B Richerson, Guo-Qiang Zhang, Samden D Lhatoo, Nuria Lacuey

Department of Neurology Faculty Papers

Rationale: Currently, there is some ambiguity over the role of postictal generalized electro-encephalographic suppression (PGES) as a biomarker in sudden unexpected death in epilepsy (SUDEP). Visual analysis of PGES, known to be subjective, may account for this. In this study, we set out to perform an analysis of PGES presence and duration using a validated signal processing tool, specifically to examine the association between PGES and seizure features previously reported to be associated with visually analyzed PGES. Methods: This is a prospective, multicenter epilepsy monitoring study of autonomic and breathing biomarkers of SUDEP in adult patients with intractable epilepsy. We …


Declining Intensive Care Unit Mortality Of Covid-19: A Multi-Center Study, Sohaib Roomi, Syed Omar Shah, Waqas Ullah, Shan Abedin, Karyn L. Butler, Chiers, Kelly, Benjamin A. Kohl, Erika J. Yoo, Matthew Vibbert, Jack Jallo Mar 2021

Declining Intensive Care Unit Mortality Of Covid-19: A Multi-Center Study, Sohaib Roomi, Syed Omar Shah, Waqas Ullah, Shan Abedin, Karyn L. Butler, Chiers, Kelly, Benjamin A. Kohl, Erika J. Yoo, Matthew Vibbert, Jack Jallo

Department of Surgery Faculty Papers

Background: Coronavirus disease 2019 (COVID-19) mortality has waned significantly over time; however, factors contributing towards this reduction largely remain unidentified. The purpose of this study was to evaluate the trend in mortality at our large tertiary academic health system and factors contributing to this trend. Methods: This is a retrospective cohort study of intensive care unit (ICU) patients diagnosed with COVID-19 between March and August 2020 admitted across 14 hospitals in the Philadelphia area. Collected data included demographics, comorbidities, admission risk of mortality score, laboratory values, medical interventions, survival outcomes, hospital and ICU length of stay (LOS) and discharge disposition. …


Skin Manifestations In Covid-19 Patients: Are They Indicators For Disease Severity? A Systematic Review, Parnian Jamshidi, Bahareh Hajikhani, Mehdi Mirsaeidi, Hassan Vahidnezhad, Masoud Dadashi, Mohammad Javad Nasiri Feb 2021

Skin Manifestations In Covid-19 Patients: Are They Indicators For Disease Severity? A Systematic Review, Parnian Jamshidi, Bahareh Hajikhani, Mehdi Mirsaeidi, Hassan Vahidnezhad, Masoud Dadashi, Mohammad Javad Nasiri

Department of Dermatology and Cutaneous Biology Faculty Papers

Introduction: Until now, there are several reports on cutaneous manifestations in COVID-19 patients. However, the link between skin manifestations and the severity of the disease remains debatable. We conducted a systematic review to evaluate the temporal relationship between different types of skin lesions and the severity of COVID-19. Methods: A systematic search was conducted for relevant studies published between January and July 2020 using Pubmed/Medline, Embase, and Web of knowledge. The following keywords were used: "SARS-CoV-2" or "COVID-19" or "new coronavirus" or "Wuhan Coronavirus" or "coronavirus disease 2019" and "skin disease" or "skin manifestation" or "cutaneous manifestation." Results: Out of …


Opioids And Sickle Cell Disease: From Opium To The Opioid Epidemic., Samir K. Ballas Jan 2021

Opioids And Sickle Cell Disease: From Opium To The Opioid Epidemic., Samir K. Ballas

Cardeza Foundation for Hematologic Research

Sickle cell disease (SCD) is an inherited disorder of hemoglobin structure. The clinical effects of the sickle gene are pleiotropic in nature causing multiple phenotypic expressions associated with the various complications of the disease. The hallmark of the disease is pain that could be acute, chronic, nociceptive, or neuropathic that could occur singly or in various combinations. The acute vaso-occlusive painful crisis (VOC) is the most common cause of admissions to the Emergency Department and/or the hospital. Although progress has been made in understanding the pathophysiology of SCD as well as in developing preventive and curative therapies, effective pain management …


Machine Learning Models For 6-Month Survival Prediction After Surgical Resection Of Glioblastoma, Jeffrey Gray, Lohit Velagapudi, Michael Baldassari, Bryan Sadler, David Vuong Jan 2021

Machine Learning Models For 6-Month Survival Prediction After Surgical Resection Of Glioblastoma, Jeffrey Gray, Lohit Velagapudi, Michael Baldassari, Bryan Sadler, David Vuong

Phase 1

Introduction: The role of surgical resection for the treatment of glioblastoma multiforme is well established. Survival analysis after resective surgery in the literature comprises mostly of traditional statistical models. Machine learning models offer powerful predictive and analytical capability for varied datasets and offer improved generalizability and scalability. We analyzed survival data of patients with glioblastoma with various machine learning algorithms and compared it to binary logistic regression.

Methods: We retrospectively identified cases of glioblastoma treated with surgical resection at our institution from 2012-2018. Feature scaling and one-hot encoding was used to better fit the models to the data and used …