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The Association Of Rs187238, Rs19465518 And Rs1946519 Il-8 Polymorphisms With Acute Kidney Injury In Preterm Infants, Fiva Aprilia Kadi 2021 Padjadjaran University

The Association Of Rs187238, Rs19465518 And Rs1946519 Il-8 Polymorphisms With Acute Kidney Injury In Preterm Infants, Fiva Aprilia Kadi

BioMedicine

ABSTRACT

Background: Interleukin 18 (IL-18) promoter polymorphisms (-656G>T, -607C>A, and -137G>C) affect serum IL-18 (sIL-18) levels and are associated with renal injury.

Purpose: This study aimed to determine the diagnostic utility of sIL-18 and urine IL-18 (uIL-18) as biomarkers for acute kidney injury (AKI) and analyse the association of IL-18 polymorphisms to AKI in preterm infants.

Methods: Blood and urine samples were collected from 56 preterm infants with AKI and 56 without AKI to measure serum creatinine (SCr), sIL-18, and uIL-18. Genotyping of polymorphisms was performed and analysed, with AUC-ROCs analysis used to evaluate the diagnostic utility ...


A Novel Method For Ecg Signal Classification Via One-Dimensional Convolutional Neural Network, Xuan Hua, Jungang Han, Chen Zhao, Haipeng Tang, Zhuo He, Qinghui Chen, Shaojie Tang, Jinshan Tang, Weihua Zhou 2021 Xi’an University of Posts and Telecommunications

A Novel Method For Ecg Signal Classification Via One-Dimensional Convolutional Neural Network, Xuan Hua, Jungang Han, Chen Zhao, Haipeng Tang, Zhuo He, Qinghui Chen, Shaojie Tang, Jinshan Tang, Weihua Zhou

Faculty Publications

This paper develops an end-to-end ECG signal classification algorithm based on a novel segmentation strategy and 1D Convolutional Neural Networks (CNN) to aid the classification of ECG signals and alleviate the workload of physicians. The ECG segmentation strategy named R-R-R strategy (i.e., retaining ECG data between the R peaks just before and after the current R peak) is used for segmenting the original ECG data into segments to train and test the 1D CNN models. The novel strategy mimics physicians in scanning ECG to a greater extent, and maximizes the inherent information of ECG segments for diagnosis. The performance ...


Geriatric Emergency Medicine Fellowship Journal Club: Frailty, Sarah Keene, Rebecca Fisher, Lauren Cameron-Comasco 2021 Beaumont Royal Oak

Geriatric Emergency Medicine Fellowship Journal Club: Frailty, Sarah Keene, Rebecca Fisher, Lauren Cameron-Comasco

Journal of Geriatric Emergency Medicine

No abstract provided.


A Rare Diagnosis Of Strongyloides Stercoralis In The Pleural Cavity, Fatemeh Rhana Mousavi, Emon Alavi, Nick A. Hirad 2021 Integrated Regional Laboratories

A Rare Diagnosis Of Strongyloides Stercoralis In The Pleural Cavity, Fatemeh Rhana Mousavi, Emon Alavi, Nick A. Hirad

HCA Healthcare Journal of Medicine

Strongyloides stercoralis is a soil-transmitted helminth that causes strongyloidiasis, a chronic parasitic infection in humans. S. stercoralis is one of several worm species that cause soil-transmitted helminthiasis, a neglected tropical disease. Herein, we discuss a 78-year-old female residing in a nursing home presenting with abdominal pain and shortness of breath. During a thoracentesis, physicians found multiple rhabditoid larvae consistent with S. stercoralis. However, before the procedure, a serial assessment of stool sample was performed and failed to demonstrate a parasitic infestation. Many of those infected with S. stercoralis are asymptomatic. Lack of symptoms and low sensitivity in traditional parasitological testing ...


Who Has Long-Covid? A Big Data Approach [Preprint], Emily R. Pfaff, Andrew T. Girvin, Tellen D. Bennett, Abhishek Bhatia, Ian M. Brooks, Rachel R. Deer, Jonathan P. Dekermanjian, Sarah Elizabeth Jolley, Michael G. Kahn, Kristin Kostka, Julie A. McMurry, Richard Moffitt, Anita Walden, Christopher G. Chute, Melissa A. Haendel, The N3C Consortium 2021 University of North Carolina at Chapel Hill

Who Has Long-Covid? A Big Data Approach [Preprint], Emily R. Pfaff, Andrew T. Girvin, Tellen D. Bennett, Abhishek Bhatia, Ian M. Brooks, Rachel R. Deer, Jonathan P. Dekermanjian, Sarah Elizabeth Jolley, Michael G. Kahn, Kristin Kostka, Julie A. Mcmurry, Richard Moffitt, Anita Walden, Christopher G. Chute, Melissa A. Haendel, The N3c Consortium

UMass Center for Clinical and Translational Science Supported Publications

Background Post-acute sequelae of SARS-CoV-2 infection (PASC), otherwise known as long-COVID, have severely impacted recovery from the pandemic for patients and society alike. This new disease is characterized by evolving, heterogeneous symptoms, making it challenging to derive an unambiguous long-COVID definition. Electronic health record (EHR) studies are a critical element of the NIH Researching COVID to Enhance Recovery (RECOVER) Initiative, which is addressing the urgent need to understand PASC, accurately identify who has PASC, and identify treatments.

Methods Using the National COVID Cohort Collaborative’s (N3C) EHR repository, we developed XGBoost machine learning (ML) models to identify potential long-COVID patients ...


Multiple Sclerosis And Its Symptom Management Through Supplementation And Dietary Planning, Lindsey J. Davis 2021 Southeastern University - Lakeland

Multiple Sclerosis And Its Symptom Management Through Supplementation And Dietary Planning, Lindsey J. Davis

Selected Honors Theses

Multiple Sclerosis (MS) is an autoimmune, neuroinflammatory disorder that is characterized by the breakdown of myelinated axons in the Central and Peripheral Nervous Systems. It is a potentially debilitating autoimmune disease that affects almost 1 million people in the United States, and nearly 2.5 million people worldwide. The precise etiology of MS is still being researched, but much progress has been made towards understanding the molecular mechanisms and impactful ways to treat this disease. While there is still no cure, new treatment plans are constantly being orchestrated in effort to alleviate the burden that MS carries. Combination treatment plans ...


Supplement: A Field Trial Of 2 Point Of Care Glucometers In Healthy Calves, Joseph Smith, Lisa Ebner, Haley Cremerius, Channing Cantrell, Windy Soto-Gonzalez, Rebecca Rahn, Jon P. Mochel, Jeff Olivarez, Amanda Kreuder 2021 UTK

Supplement: A Field Trial Of 2 Point Of Care Glucometers In Healthy Calves, Joseph Smith, Lisa Ebner, Haley Cremerius, Channing Cantrell, Windy Soto-Gonzalez, Rebecca Rahn, Jon P. Mochel, Jeff Olivarez, Amanda Kreuder

Faculty Publications and Other Works -- Large Animal Clinical Sciences

No abstract provided.


Classical Findings Of Infantile Hepatic Hemangiomas, Senayit Demie, Michael Bossak 2021 Memorial Health University Medical Center

Classical Findings Of Infantile Hepatic Hemangiomas, Senayit Demie, Michael Bossak

HCA Healthcare Journal of Medicine

Introduction

Hemangiomas are benign vascular tumors that are common during infancy. They are most commonly noted as superficial bright red lesions on the skin but can also be found deeper as subcutaneous lesions. Patients with multifocal cutaneous hemangiomas are at risk of visceral involvement with the liver being most commonly affected. Most hemangiomas can be monitored clinically as they are self-limiting. Despite this, hepatic hemangiomas can have serious complications including large arteriovenous shunts leading to cardiac compromise as well as severe hepatomegaly which can cause abdominal compartment syndrome, impaired ventilation and renal vein compression.

Clinical Findings

A six-month-old female, born ...


Artificial Intelligence Toward Personalized Medicine, Muhammad Wildan Gifari, Pugud Samodro, Dhadhang Wahyu Kurniawan 2021 Department of Biomedical Engineering, Institut Teknologi Sumatera, Lampung, Indonesia

Artificial Intelligence Toward Personalized Medicine, Muhammad Wildan Gifari, Pugud Samodro, Dhadhang Wahyu Kurniawan

Pharmaceutical Sciences and Research

In current medical practice when a patient feels symptoms he/she would consult the doctor. The doctor then gives medication in a one-fits-all fashion. However, recent genetics studies had shown that different genetic makeup can results in different effects on medication, so the medication should be customed for every individual. The main idea of “personalized medicine” is to provide the right intervention including medication to the right patient at the right time and dose. With this approach, the medication paradigm would shift from curative to preventive. The rise of personalized medicine had been possible because the information from ever-increasing biomolecular ...


Single Breath Counting Is An Effective Screening Tool For Forced Vital Capacity In Als, Colin Quinn, Corey T. Mcmillan, Margaret A. Owegi, Kelly Almasy, Catherine Douthwright, Diane Mckenna-Yasek, Namita A. Goyal, James Berry, Robert H. Brown Jr. 2021 University of Massachusetts Medical School

Single Breath Counting Is An Effective Screening Tool For Forced Vital Capacity In Als, Colin Quinn, Corey T. Mcmillan, Margaret A. Owegi, Kelly Almasy, Catherine Douthwright, Diane Mckenna-Yasek, Namita A. Goyal, James Berry, Robert H. Brown Jr.

COVID-19 Publications by UMass Chan Authors

Objective: To measure the correlation between single breath counting (SBC) and forced vital capacity (liters, FVCL) in amyotrophic lateral sclerosis (ALS) patients and to define the utility of SBC for determining when patients meet the threshold for initiation of noninvasive positive pressure ventilation (FVC < 50% predicted [FVCpred]).

Methods: Both patient paced (SBCpp) or externally paced (SBCep) counting along with FVCL+pred and standard clinical data were collected. Linear regression was used to examine SBCpp and SBCep as a predictor of FVCL. Receiver operating characteristic curve analysis evaluated the sensitivity and specificity of SBC categorically predicting FVCpred of < /=50%.

Results: In 30 ALS patients, SBC ...


Euadb: A Resource For Covid-19 Test Development And Comparison, Alyssa Woronik, Henry W. Shaffer, Karin Kiontke, Jon M. Laurent, Ronald Zambrano, Mariah Daley, Jef D. Boeke, David H. Fitch 2021 Sacred Heart University

Euadb: A Resource For Covid-19 Test Development And Comparison, Alyssa Woronik, Henry W. Shaffer, Karin Kiontke, Jon M. Laurent, Ronald Zambrano, Mariah Daley, Jef D. Boeke, David H. Fitch

Biology Faculty Publications

Due to the sheer number of COVID-19 (coronavirus disease 2019) cases there is a need for increased world-wide SARS-CoV-2 testing capability that is both efficient and effective. Having open and easy access to detailed information about these tests, their sensitivity, the types of samples they use, etc. would be highly useful to ensure their reproducibility, to help clients compare and decide which tests would be best suited for their applications, and to avoid costs of reinventing similar or identical tests. Additionally, this resource would provide a means of comparing the many innovative diagnostic tools that are currently being developed in ...


Triple Negative Breast Cancer In An Appalachian Region: Exponential Tumor Grade Increase With Age Of Diagnosis, Gina Sizemore, Toni Marie Rudisill 2021 West Virginia University

Triple Negative Breast Cancer In An Appalachian Region: Exponential Tumor Grade Increase With Age Of Diagnosis, Gina Sizemore, Toni Marie Rudisill

Journal of Appalachian Health

Introduction: Triple negative breast cancer is an aggressive breast cancer with decreased five-year survival, increased risk for recurrence, and higher risk for metastases. Unlike other breast cancers, it has no targeted treatment and has heterogeneous genetics which make classification and treatment difficult.

Purpose: The purpose of our research was to compare triple negative breast cancer to non-triple negative breast cancer to identify key epidemiologic factors that might lead to improved basic science directives for biomarkers, treatments, and classification.

Methods: The state cancer registry was used to provide the first West Virginia state-wide population evaluation of triple negative breast cancer.

Results ...


Incidental Finding Of Anomalous Pulmonary Venous Return Of The Left Upper Lobe, A Rare Anatomical Variation, Anika Dutta, Loren Zuiderveld 2021 Chicago Medical School

Incidental Finding Of Anomalous Pulmonary Venous Return Of The Left Upper Lobe, A Rare Anatomical Variation, Anika Dutta, Loren Zuiderveld

Journal of Patient-Centered Research and Reviews

Partial anomalous pulmonary venous return (PAPVR) is a rare congenital abnormality in which 1 to 3 of the pulmonary veins connect to the right atrium rather than the left atrium. In this synthesis of the literature on PAPVR of the left upper lobe, we attempt to illustrate this clinical entity using a case detected incidentally on chest computed tomography, explain the anatomical aspects of this anomaly, and summarize the reported incidence and etiology of left-sided PAPVR. Lastly, differential diagnoses, clinical relevance, and management of left-sided PAPVR are presented. The identification of this variant is important, as it may have serious ...


High Seroprevalence Of Anti-Sars-Cov-2 Antibodies Among Ethiopian Healthcare Workers [Preprint], Tesfaye Gelanew, Jote T. Bulcha, Fikadu G. Tafesse, Alemseged Abdissa 2021 Armauer Hansen Research Institute

High Seroprevalence Of Anti-Sars-Cov-2 Antibodies Among Ethiopian Healthcare Workers [Preprint], Tesfaye Gelanew, Jote T. Bulcha, Fikadu G. Tafesse, Alemseged Abdissa

University of Massachusetts Medical School Faculty Publications

Background COVID-19 pandemic has a devastating impact on the economies and health care system of sub-Saharan Africa. Healthcare workers (HWs), the main actors of the health system, are at higher-risk because of their occupation. Serology-based estimates of SARS-CoV-2 infection among HWs represent a measure of HWs’ exposure to the virus and a guide to the prevalence of SARS-CoV-2 in the community. This information is currently lacking in Ethiopia and other African countries. This study aimed to develop an in-house antibody testing assay, assess the prevalence of SARS-CoV-2 antibodies among Ethiopian high-risk frontline HWs.

Methods and findings A cross-sectional seroprevalence study ...


Using Deep Learning To Identify Bladder Cancers With Fgfr-Activating Mutations From Histology Images, Constantine S. Velmahos, Marcus Badgeley, Ying-Chun Lo 2021 University of Massachusetts Medical School

Using Deep Learning To Identify Bladder Cancers With Fgfr-Activating Mutations From Histology Images, Constantine S. Velmahos, Marcus Badgeley, Ying-Chun Lo

Open Access Publications by UMass Chan Authors

BACKGROUND: In recent years, the fibroblast growth factor receptor (FGFR) pathway has been proven to be an important therapeutic target in bladder cancer. FGFR-targeted therapies are effective for patients with FGFR mutation, which can be discovered through genetic sequencing. However, genetic sequencing is not commonly performed at diagnosis, whereas a histologic assessment of the tumor is. We aim to computationally extract imaging biomarkers from existing tumor diagnostic slides in order to predict FGFR alterations in bladder cancer.

METHODS: This study analyzed genomic profiles and HandE-stained tumor diagnostic slides of bladder cancer cases from The Cancer Genome Atlas (n = 418 cases ...


Characterizing Long Covid: Deep Phenotype Of A Complex Condition [Preprint], Rachel R. Deer, Feifan Liu, Melissa Haendel, Peter N. Robinson 2021 University of Texas

Characterizing Long Covid: Deep Phenotype Of A Complex Condition [Preprint], Rachel R. Deer, Feifan Liu, Melissa Haendel, Peter N. Robinson

University of Massachusetts Medical School Faculty Publications

Importance Since late 2019, the novel coronavirus SARS-CoV-2 has given rise to a global pandemic and introduced many health challenges with economic, social, and political consequences. In addition to a complex acute presentation that can affect multiple organ systems, there is mounting evidence of various persistent long-term sequelae. The worldwide scientific community is characterizing a diverse range of seemingly common long-term outcomes associated with SARS-CoV-2 infection, but the underlying assumptions in these studies vary widely making comparisons difficult. Numerous publications describe the clinical manifestations of post-acute sequelae of SARS-CoV-2 infection (PASC or “long COVID”), but they are difficult to integrate ...


A Novel Crispr-Based Malaria Diagnostic Capable Of Plasmodium Detection, Species Differentiation, And Drug-Resistance Genotyping, Clark H. Cunningham, Christopher M. Hennelly, Jessica T. Lin, Ratawan Ubalee, Ross M. Boyce, Edgar M. Mulogo, Nicholas J. Hathaway, Kyaw L. Thwai, Fernandine Phanzu, Albert Kalonji, Kashamuka Mwandagalirwa, Antoinette Tshefu, Jonathan J. Juliano, Jonathan B. Parr 2021 University of North Carolina at Chapel Hill

A Novel Crispr-Based Malaria Diagnostic Capable Of Plasmodium Detection, Species Differentiation, And Drug-Resistance Genotyping, Clark H. Cunningham, Christopher M. Hennelly, Jessica T. Lin, Ratawan Ubalee, Ross M. Boyce, Edgar M. Mulogo, Nicholas J. Hathaway, Kyaw L. Thwai, Fernandine Phanzu, Albert Kalonji, Kashamuka Mwandagalirwa, Antoinette Tshefu, Jonathan J. Juliano, Jonathan B. Parr

Open Access Publications by UMass Chan Authors

BACKGROUND: CRISPR-based diagnostics are a new class of highly sensitive and specific assays with multiple applications in infectious disease diagnosis. SHERLOCK, or Specific High-Sensitivity Enzymatic Reporter UnLOCKing, is one such CRISPR-based diagnostic that combines recombinase polymerase pre-amplification, CRISPR-RNA base-pairing, and LwCas13a activity for nucleic acid detection.

METHODS: We developed SHERLOCK assays capable of detecting all Plasmodium species known to cause human malaria and species-specific detection of P. vivax and P. falciparum, the species responsible for the majority of malaria cases worldwide. We further tested these assays using a diverse panel of clinical samples from the Democratic Republic of the Congo ...


Personal Experiences With Diagnostic Delay Among Axial Spondyloarthritis Patients: A Qualitative Study, Catherine E. Dube, Kate L. Lapane, Katarina A. Ferrucci, Ariel L. Beccia, Sara K. Khan, Esther Yi, Jonathan Kay, Kristine A. Kuhn, Alexis Ogdie, Shao-Hsien Liu 2021 University of Massachusetts Medical School

Personal Experiences With Diagnostic Delay Among Axial Spondyloarthritis Patients: A Qualitative Study, Catherine E. Dube, Kate L. Lapane, Katarina A. Ferrucci, Ariel L. Beccia, Sara K. Khan, Esther Yi, Jonathan Kay, Kristine A. Kuhn, Alexis Ogdie, Shao-Hsien Liu

Open Access Publications by UMass Chan Authors

INTRODUCTION: On average, patients with axial spondyloarthritis (axSpA) suffer from symptoms up to 13 or more years before diagnosis, contributing to psychological distress and healthcare burden

METHODS: We conducted six semi-structured focus groups with 26 axSpA patients (from 3 rheumatology practices located in the states of Massachusetts, Colorado, and Pensylvania, USA) exploring early disease and diagnostic experiences. Verbatim transcripts were coded using a start list with emerging thematic codes added. A qualitative thematic analysis was performed

RESULTS: Many participants described meandering and frustrating diagnostic journeys. Participants reported that intermittent axSpA symptoms and idiopathic pain contributed to physician confusion and delay ...


Machine Learning Classification Of Traumatic Brain Injury Patients Versus Healthy Controls Using Arterial Spin Labeled Perfusion Mri, Vanessa I. Grass 2021 The Graduate Center, City University of New York

Machine Learning Classification Of Traumatic Brain Injury Patients Versus Healthy Controls Using Arterial Spin Labeled Perfusion Mri, Vanessa I. Grass

Dissertations, Theses, and Capstone Projects

Traumatic brain injury (TBI) is one of the most common causes of death and disability worldwide, yet accurate in vivo detection of TBI neuropathology remains challenging due to complexities in the structural and functional changes observed post-injury as well as limitations in conventional neuroimaging modalities. Although advanced neuroimaging techniques such as arterial spin labeling (ASL) can noninvasively assess cerebral blood flow (CBF) changes observed post-injury, this technique is underutilized in TBI research partly due to the low signal-to-noise-ratio (SNR) inherent in ASL imaging. The aim of the current study is to examine the use of machine learning, specifically a Support ...


Microrna-26a-5p As A Potential Predictive Factor For Determining The Effectiveness Of Trastuzumab Therapy In Her-2 Positive Breast Cancer Patients, Sadra Samavarchi Tehrani, Ehsan Zaboli, Farzin Sadeghi, Soraya Khafri, Ansar Karimian, Mahnoosh Rafie, Hadi Parsian 2021 Student Research Committee, Babol University of Medical Sciences, Babol, Iran

Microrna-26a-5p As A Potential Predictive Factor For Determining The Effectiveness Of Trastuzumab Therapy In Her-2 Positive Breast Cancer Patients, Sadra Samavarchi Tehrani, Ehsan Zaboli, Farzin Sadeghi, Soraya Khafri, Ansar Karimian, Mahnoosh Rafie, Hadi Parsian

BioMedicine

Background: Breast cancer (BC) is known as the most prevalence type of cancer among women. Trastuzumab, as a cancer drug, has been used broadly in human epidermal growth factor receptor 2 (HER-2) positive BC patients. On the other hand, accumulating evidence has demonstrated that microRNAs involved in pathogenesis BC. Hence, we aimed to investigate the effect of trastuzumab on the expression levels of microRNA-26a in HER-2positiveBC patients.

Methods: This study was conducted on HER-2 positive BC patients and HER-2 Negative BC patients. Serum expression of microRNA-26a were detected by real-time PCR. Then, we assessed the correlation of microRNA-26a level with ...


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