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Full-Text Articles in Medicine and Health Sciences
Epidemiology Of Covid-19 And Predictors Of Outcome In Nigeria: A Single-Center Study., Olayinka Rasheed Ibrahim, Bello Muhammed Suleiman, Suleiman Bello Abdullahi, Taofeek Oloyede, Abdallah Sanda, Maruf Sanusi Gbadamosi, Bashir Olajide Yusuf, Rabilu Yandoma Iliyasu, Lawal Magaji Ibrahim, Adamu Danladi Dawud, Sulaiman Saidu Bashir, Nwawueze Efam Okonta, Wasinda Francis Umar, Abiodun Gbenga Tekobo, Muhammadu Sani Abubakar, Bashir Taiye Aminu, Shuaibu Onoruoyiza Ibrahim, Rasaq Olaosebikan, Olugbenga Ayodeji Mokuolu
Epidemiology Of Covid-19 And Predictors Of Outcome In Nigeria: A Single-Center Study., Olayinka Rasheed Ibrahim, Bello Muhammed Suleiman, Suleiman Bello Abdullahi, Taofeek Oloyede, Abdallah Sanda, Maruf Sanusi Gbadamosi, Bashir Olajide Yusuf, Rabilu Yandoma Iliyasu, Lawal Magaji Ibrahim, Adamu Danladi Dawud, Sulaiman Saidu Bashir, Nwawueze Efam Okonta, Wasinda Francis Umar, Abiodun Gbenga Tekobo, Muhammadu Sani Abubakar, Bashir Taiye Aminu, Shuaibu Onoruoyiza Ibrahim, Rasaq Olaosebikan, Olugbenga Ayodeji Mokuolu
Department of Pharmacology and Experimental Therapeutics Faculty Papers
There is a paucity of information regarding the epidemiology and outcome of COVID-19 from low/middle-income countries, including from Nigeria. This single-center study described the clinical features, laboratory findings, and predictors of in-hospital mortality of COVID-19 patients. Patients admitted between April 10, 2020 and June 10, 2020 were included. Forty-five patients with a mean age of 43 (16) years, predominantly male (87%), presented with fever (38%), cough (29%), or dyspnea (24%). In-hospital mortality was 16%. The independent predictors of mortality were hypoxemia (adjusted odds ratio [aOR]: 2.5; 95% CI: 1.3-5.1) and creatinine > 1.5 mg/dL (aOR: 4.3; 95% CI: 1.9-9.8).
Simulation-Based Mastery Learning Compared To Standard Education For Discussing Diagnostic Uncertainty With Patients In The Emergency Department: A Randomized Controlled Trial., Danielle M. Mccarthy, Rhea E. Powell, Kenzie A. Cameron, David H. Salzman, Dimitrios Papanagnou, Amanda Doty, Benjamin E. Leiby, Katherine Piserchia, Matthew R. Klein, Xiao C. Zhang, William C. Mcgaghie, Kristin L. Rising
Simulation-Based Mastery Learning Compared To Standard Education For Discussing Diagnostic Uncertainty With Patients In The Emergency Department: A Randomized Controlled Trial., Danielle M. Mccarthy, Rhea E. Powell, Kenzie A. Cameron, David H. Salzman, Dimitrios Papanagnou, Amanda Doty, Benjamin E. Leiby, Katherine Piserchia, Matthew R. Klein, Xiao C. Zhang, William C. Mcgaghie, Kristin L. Rising
Department of Pharmacology and Experimental Therapeutics Faculty Papers
BACKGROUND: Diagnostic uncertainty occurs frequently in emergency medical care, with more than one-third of patients leaving the emergency department (ED) without a clear diagnosis. Despite this frequency, ED providers are not adequately trained on how to discuss diagnostic uncertainty with these patients, who often leave the ED confused and concerned. To address this training need, we developed the Uncertainty Communication Education Module (UCEM) to teach physicians how to discuss diagnostic uncertainty. The purpose of the study is to evaluate the effectiveness of the UCEM in improving physician communications.
METHODS: The trial is a multicenter, two-arm randomized controlled trial designed to …
Development Of An Abbreviated Symptom Score For The Neonatal Abstinence Syndrome., I. Chervoneva, S. C. Adeniyi-Jones, F. Blanco, W. K. Kraft
Development Of An Abbreviated Symptom Score For The Neonatal Abstinence Syndrome., I. Chervoneva, S. C. Adeniyi-Jones, F. Blanco, W. K. Kraft
Department of Pharmacology and Experimental Therapeutics Faculty Papers
OBJECTIVE: We sought a shortened MOTHER neonatal abstinence syndrome (NAS) and Finnegan score that would retain comparable performance characteristics of the full instrument.
STUDY DESIGN: Retrospective cohort.
RESULTS: In total, 124,170 MOTHER NAS scores between August 2007 and May 2016 from 775 infants (≥36 weeks) were examined. Classification and regression tree model identified the most important subsets of the scored variables. A 9-element shortened scale yielded >90% sensitivity and specificity to predict clinical endpoints based on the full 19-element MOTHER NAS score. Conversion of the data sets to the Finnegan score, and applying the same procedure resulted in a nine-element …