Diagnosis Commons^™

Increasing Colorectal Cancer Screening Adherence: A Scoping Review, Megan E. Billingsley Bsn, Rn, Tiameria T. Ford Bsn, Rn, Mikayla E. Vican Bsn, Rn, Diana Dedmon Dnp, Aprn, Fnp-Bc

Doctor of Nursing Practice Projects

Purpose/Background Colorectal cancer (CRC) is the second leading cause of cancer-related deaths in the United States. Rates have steadily increased in recent years due to high rates of obesity, smoking, and sedentary lifestyles. Screening for the disease can lead to early detection and reduced morbidity/mortality, yet screening rates remain low. Existing literature is extensive in discussing methods to increase CRCS adherence; therefore, a scoping review allows for increased understanding of barriers to CRCS and how to address those barriers to increase screening compliance.

Methods A literature search was completed from September 2020 to October 2021. Multiple databases were ...

Using Machine Learning To Recognize Chronic Rhinosinusitis, Irene Liu '23

Student Publications & Research

Chronic Rhinosinusitis (CRS) is a nasal disease characterized by the inflammation of the mucosa and paranasal sinuses with a duration of at least 12 consecutive weeks. So, to diagnose CRS, one needs to keep a record of their symptoms for ~12 weeks before they are recommended to get a tomography which will allow physicians to classify them as a patient with CRS or without. This is a timely and costly process; thus, machine learning should be used to speed the process up. Since patients with CRS have more obstructed noses, the sound produced should be different than an individual without ...

Failure Of Passive Transfer In Camel Calves: 4 Cases (2010-2019), Amanda James, Joseph Smith, Julie Sheldon, Ricardo Videla

Faculty Publications and Other Works -- Large Animal Clinical Sciences

Failure of passive transfer is a management concern for all ruminant species, but is not well described in the literature for camel calves. This case series presents four camel calves (Camelus dromedarius and Camelus bactrianus) referred to a North American veterinary teaching hospital for diagnosis and management of failure of passive transfer. Diagnostics utilized included hematology, serum biochemistry, and immunologic methods as described for crias. Management included antimicrobial, anti-inflammatory, and plasma transfusion therapies. Three of the four calves survived to discharge, and common diagnostic practices such as evaluation of total solids, total protein, immunoglobulin G, and sodium sulfite appear to ...

Stroke Network Of Wisconsin (Snow) Scale Predicts Large Vessel Occlusion Stroke In The Prehospital Setting, Kessarin Panichpisal, Sarah Erpenbeck, Paul Vilar, Reji P. Babygirija, Maharaj Singh, M. Riccardo Colella, Richard A. Rovin

Journal of Patient-Centered Research and Reviews

Purpose: In previous trials, the Stroke Network of Wisconsin (SNOW) scale accurately predicted large vessel occlusion (LVO) stroke in the hospital setting. This study evaluated SNOW scale performance in the prehospital setting and its ability to predict LVO or distal medium vessel occlusion (DMVO) in patients suspected of having acute ischemic stroke (AIS), a scenario in which transport time to an endovascular treatment-capable facility (ECSC) is critical.

Methods: All potential AIS patients with last-known-well time of ≤ 24 hours were assessed by Milwaukee County Emergency Medical Services for LVO using SNOW. Patients with a positive SNOW score were transferred to the ...

An Artificial Intelligence Deep Learning Platform Achieves High Diagnostic Accuracy For Covid-19 Pneumonia By Reading Chest X-Ray Images, Dongguang Li, Shaoguang Li

COVID-19 Publications by UMass Chan Authors

The coronavirus disease of 2019 (Covid-19) causes deadly lung infections (pneumonia). Accurate clinical diagnosis of Covid-19 is essential for guiding treatment. Covid-19 RNA test does not reflect clinical features and severity of the disease. Pneumonia in Covid-19 patients could be caused by non-Covid-19 organisms and distinguishing Covid-19 pneumonia from non-Covid-19 pneumonia is critical. Chest X-ray detects pneumonia, but a high diagnostic accuracy is difficult to achieve. We develop an artificial intelligence-based (AI) deep learning method with a high diagnostic accuracy for Covid-19 pneumonia. We analyzed 10,182 chest X-ray images of healthy individuals, bacterial pneumonia. and viral pneumonia (Covid-19 and ...

Impact Of Spontaneous Breathing Trials On Reducing Ventilator-Associated Pneumonia In Adult Intubated Patients: A Scoping Review, Jireh R. Johnson Bsn, Rn, Hamzha Aysheh Bsn, Rn, Keianna Luckett Bsn, Rn, Margaret Harvey Phd, Aprn, Acnp-Bc, Chfn

Doctor of Nursing Practice Projects

Purpose/Background For ventilated patients in the intensive care unit, ventilator-associated pneumonia (VAP) is a major source of morbidity. It is difficult to diagnose due to many of the diagnostic criteria being subjective, its clinical signs that are broad, and its association with various respiratory disorders. Hospitals have developed varying ventilator bundles in expectation to prevent the incidence of Ventilator-associate pneumonia. We performed scoping review to determine the impact of spontaneous breathing trials (SBT) on reducing VAP.

Methods From August to November of 2021, using the MEDLINE, ScienceDirect, and Scopus databases and MeSH search terms, we identified over 20,000 ...

Comparison Of Survival Rates Between Two Cardiopulmonary Resuscitation Protocols And The Association Of Crew Consistency, Stacey L. Parrish, Lori Kupczynski, Pradeep Vanguri

Internet Journal of Allied Health Sciences and Practice

Background: Cardiac arrest is a life-altering event that requires swift, coordinated actions from numerous individuals for patient survival. Although return of spontaneous circulation is the goal of every emergency medical service agency, survival rates continue to be low due to many factors. Many variables are out of direct control of emergency medical service agencies, but some, such as protocol development and personnel training, are well within their power. Purpose: The purpose of this mixed-methods study was to examine the new HP-CPR protocol implemented by a large southeastern urban fire rescue department to see if changes to existing protocol assisted, in ...

Succinic Semialdehyde Dehydrogenase Deficiency (Ssadhd): Qualitative Needs Assessment For Patients With A Rare Neurological Disorder, Cassandra Bovee, Kayla Woodring

Annual Research Symposium

No abstract provided.

A Case Of Cryptomenorrhea Presenting As - Acute Abdominal Pain, Udisha Arya Ms., Ritu Mittal Arya Dr.

Digital Journal of Clinical Medicine

BACKGROUND:

The transverse vaginal septum is a congenital Mullerian abnormality caused due to improper fusion of the Müllerian ducts with urogenital sinus. It is classified as complete or incomplete and obstructive or non-obstructive and occurs at various levels such as superior vaginal (46%), mid-vaginal(40%) and inferior vaginal(14%). Transverse vaginal septum is a rare condition with incidence varying from 1:2100 to 1:72,000. The condition is difficult to manage often due to delayed diagnosis and is usually diagnosed when hematocolpos lead to symptoms due to an expanding pelvic mass

CASE DESCRIPTION:

A 14-year-old female adolescent presented with ...

Understanding Healthcare Professionals' Perspectives On Point-Of-Care Testing, Sean Teebagy, Zi-Yue Wang, Denise Dunlap, Connor Saleeba, Danielle Dimezza, Joann Crain, Craig M. Lilly, Bryan Buchholz, David D. Mcmanus, Nathaniel S. Hafer

COVID-19 Publications by UMass Chan Authors

Point-of-care testing (POCT) is an emerging technology that provides crucial assistance in delivering healthcare. The COVID-19 pandemic led to the accelerated importance of POCT technology due to its in-home accessibility. While POCT use and implementation has increased, little research has been published about how healthcare professionals perceive these technologies. The objective of our study was to examine the current perspectives of healthcare professionals towards POCT. We surveyed healthcare professionals to quantify perceptions of POCT usage, adoption, benefits, and concerns between October 2020 and November 2020. Questions regarding POCT perception were assessed on a 5-point Likert Scale. We received a total ...

Managing Concurrent Discitis And Epidural Abscess Following Tfesi Arising From Unlikely Bacterial Species: The Importance Of Post-Procedure Education, Adlai Pappy, Robert Louis, Vinita Singh

Advances in Clinical Medical Research and Healthcare Delivery

Introduction:

Transforaminal epidural steroid injection (TFESI) can provide pain relief when patients’ radicular pain is refractory to medication and physical therapy. However, it is important that clinicians understand potential signs and symptoms of TFESI complications to prevent long-term sequelae. Literature has not documented both discitis and an epidural abscess concurrently following a lumbar TFESI.

Case:

We present a patient with stage 3c melanoma on the right lower extremity (RLE) with worsening lower extremity and foot pain. The pain was refractory to his current medication regimen of Gabapentin, and he wanted an alternative to opioids. A right L2-L5 TFESI was performed ...

Applications Of Unsupervised Machine Learning In Autism Spectrum Disorder Research: A Review, Chelsea Parlett-Pelleriti, Elizabeth Stevens, Dennis R. Dixon, Erik J. Linstead

Engineering Faculty Articles and Research

Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy centers, and mobile applications; however, much of this rich data does not have pre-existing classes or labels. Large amounts of data—both genetic and behavioral—that are collected as part of scientific studies or a part of treatment can provide a deeper, more nuanced insight into both diagnosis and treatment of ASD. This paper reviews 43 papers using unsupervised machine learning in ASD, including k-means clustering, hierarchical clustering, model-based clustering, and self-organizing maps. The aim of this review is to provide a survey of the current ...

Prevalence Of Endocrine Disorders Among 6078 Individuals With Down Syndrome In The United States, Anne Rivelli, Veronica Fitzpatrick, Danielle Wales, Laura Chicoine, Gengjie Jia, Andrey Rzhetsky, Brian Chicoine

Journal of Patient-Centered Research and Reviews

Findings from a recent study describing prevalence of common disease conditions in the largest documented cohort of individuals with Down syndrome (DS) in the United States strongly suggested significant disparity in endocrine disorders among these individuals when compared with age- and sex-matched individuals without DS. This retrospective, descriptive study is a follow-up report documenting prevalence of 21 endocrine disorder conditions, across 28 years of data, from 6078 individuals with DS and 30,326 age- and sex-matched controls, abstracted from electronic medical records within a large integrated health system. Overall, individuals with DS experienced higher prevalence of adrenal insufficiency and Addison ...

Seroprevalence Of Covid-19 Igg Antibody In Resident And Fellow Physicians In Milwaukee, Wisconsin: Analysis Of A Cross-Sectional Survey, Dennis J. Baumgardner, Alexander Schwank, Jessica J. F. Kram, Wilhelm Lehmann, Jacob Bidwell, Tricia La Fratta, Kenneth Copeland

Journal of Patient-Centered Research and Reviews

Purpose: Medical trainees are likely at differential risk of exposure to COVID-19 per respective clinical activity. We sought to determine the seroprevalence of COVID-19 antibody (Ab) among resident and fellow physicians with varying degrees of exposure to COVID-19.

Methods: A cross-sectional study of Milwaukee-based resident and fellow physicians, encompassing December 2019–June 2020, was conducted. Relevant variables of interest were ascertained by survey and payroll data, and Abbott ARCHITECT Ab test (index cut-off of ≥ 1.4) was performed. Descriptive statistics were generated, with 95% CI calculated for the study’s primary outcome of seroprevalence.

Results: Among survey respondents (92 of ...

Management Of Adult Growth Hormone Deficiency Related To Hypopituitarism, Kellie Jamin

Capstone Showcase

The treatment of growth hormone deficiency (GHD) is well-established in childhood but less understood in adults, given the more complex role that growth hormone (GH) assumes in this population. Decreased functionality of the pituitary gland, otherwise known as hypopituitarism, can present with an isolated GHD in adulthood, which may result from a number of factors including neoplasm, ischemia, infection, traumatic injury, or systemic disease. Adult GHD may be definitively diagnosed with a stimulation test, the insulin tolerance test (ITT) being the study of choice. With a positive ITT, the disorder can be treated with growth hormone replacement therapy (GHRT), which ...

Altitude Illness, Kali Hepner

Capstone Showcase

With an increasing number of individuals traveling to high altitudes, it is important to address the risk these individuals face of developing altitude related illnesses. An example of high altitude related illness might be the elevation transition of travelers flying into Denver, Colorado (1,673 m) with the intention to then drive up to Rocky Mountain National Park’s Alpine Visitor Center (3,595 m) in the same day. This poses increased risk of unacclimatized visitors experiencing altitude illness in remote areas of the national park. This poster summarizes the diagnosis, prevention, and treatment of altitude illnesses so that clinicians ...

Quantitative Imaging Of Net Axonal Transport In Vivo: A Biomarker For Motor Neuron Health And Disease, Pin-Tsun Justin Lee

Morningside Graduate School of Biomedical Sciences Dissertations and Theses

Amyotrophic lateral sclerosis (ALS) is a lethal, progressive neurodegenerative disorder that selectively affects both upper and lower motor neurons, leading to muscle weakness, paralysis and death. Despite recent advances in the identification of genes associated with ALS, the quest for a sensitive biomarker for rapid and accurate diagnosis, prognosis, and treatment response monitoring has not been fulfilled. In this thesis, I report a method of quantifying the integrity of motor neurons in vivo using imaging to record uptake and retrograde transport of intramuscularly injected tetanus toxin fragment C (TTC) into spinal motor neurons. This method tracks and profiles progression of ...

Patient Perspectives On Health Care Provider Practices Leading To An Axial Spondyloarthritis Diagnosis: An Exploratory Qualitative Research Study, Kate L. Lapane, Catherine E. Dube, Katarina A. Ferrucci, Sara K. Khan, Kristine A. Kuhn, Esther Yi, Jonathan Kay, Shao-Hsien Liu

Population and Quantitative Health Sciences Publications

BACKGROUND: The average time to a diagnosis for people with axial spondyloarthritis (axSpA) is 7-10 years. Delayed diagnosis may result in increased structural damage, worse physical function, and worse quality of life relative to patients with a timely axSpA diagnosis. Understanding patient experiences may provide insights for how to reduce diagnostic delays.

OBJECTIVE: To provide foundational knowledge about patient experiences with healthcare providers leading to an axSpA diagnosis.

METHODS: We conducted an exploratory qualitative research study with six focus groups interviews with participants recruited from three rheumatology clinics within the United States (MA (n = 3); CO (n = 2); PA (n ...

Clinical Diagnosis Support With Convolutional Neural Network By Transfer Learning, Spencer Fogleman, Jeremy Otsap, Sangrae Cho

SMU Data Science Review

Breast cancer is prevalent among women in the United States. Breast cancer screening is standard but requires a radiologist to review screening images to make a diagnosis. Diagnosis through the traditional screening method of mammography currently has an accuracy of about 78% for women of all ages and demographics. A more recent and precise technique called Digital Breast Tomosynthesis (DBT) has shown to be more promising but is less well studied. A machine learning model trained on DBT images has the potential to increase the success of identifying breast cancer and reduce the time it takes to diagnose a patient ...

Machine Learning Approach To Distinguish Ulcerative Colitis And Crohn’S Disease Using Smote (Synthetic Minority Oversampling Technique) Methods, Kris Ghimire, Walter Lai, Yasser Omar, Thad Schwebke, Jamie Vo

SMU Data Science Review

Irritable Bowel Disease (IBD) affects a sizable portion of the US population, causing symptoms such as vomiting, abdominal pain, and diarrhea. Despite the disease’s prevalence, the precise cause is not fully understood. This study consists of endoscopic and histological data from patients diagnosed with IBD and a control population for reference. The machine learning models' focus is to classify patients into IBD types. Several models were analyzed, including decision trees, logistic regression, and k-nearest neighbors. In addition, various methods of SMOTE were applied to determine the most effective transformation and ensuring that the dataset is balanced. The best model ...