Open Access. Powered by Scholars. Published by Universities.®

Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 4 of 4

Full-Text Articles in Medicine and Health Sciences

Impact Of Diabetes Status And Related Factors On Covid-19-Associated Hospitalization: A Nationwide Retrospective Cohort Study Of 116,370 Adults With Sars-Cov-2 Infection., Erin M. Tallon, Osagie Ebekozien, Janine Sanchez, Vincent S. Staggs, Diana Ferro, Ryan Mcdonough, Carla Demeterco-Berggren, Sarit Polsky, Patricia Gomez, Neha Patel, Priya Prahalad, Ori Odugbesan, Priyanka Mathias, Joyce M. Lee, Chelsey Smith, Chi-Ren Shyu, Mark A. Clements Dec 2022

Impact Of Diabetes Status And Related Factors On Covid-19-Associated Hospitalization: A Nationwide Retrospective Cohort Study Of 116,370 Adults With Sars-Cov-2 Infection., Erin M. Tallon, Osagie Ebekozien, Janine Sanchez, Vincent S. Staggs, Diana Ferro, Ryan Mcdonough, Carla Demeterco-Berggren, Sarit Polsky, Patricia Gomez, Neha Patel, Priya Prahalad, Ori Odugbesan, Priyanka Mathias, Joyce M. Lee, Chelsey Smith, Chi-Ren Shyu, Mark A. Clements

Manuscripts, Articles, Book Chapters and Other Papers

Aims: We examined diabetes status (no diabetes; type 1 diabetes [T1D]; type 2 diabetes [T2D]) and other demographic and clinical factors as correlates of coronavirus disease 2019 (COVID-19)-related hospitalization. Further, we evaluated predictors of COVID-19-related hospitalization in T1D and T2D.

Methods: We analyzed electronic health record data from the de-identified COVID-19 database (December 2019 through mid-September 2020; 87 US health systems). Logistic mixed models were used to examine predictors of hospitalization at index encounters associated with confirmed SARS-CoV-2 infection.

Results: In 116,370 adults ( >=18 years old) with COVID-19 (93,098 no diabetes; 802 T1D; 22,470 T2D), factors that independently increased …


Challenges Of Diagnosing Pseudohypoaldosteronism (Pha) In An Infant., Ghufran Babar, Minah Tariq Jul 2022

Challenges Of Diagnosing Pseudohypoaldosteronism (Pha) In An Infant., Ghufran Babar, Minah Tariq

Manuscripts, Articles, Book Chapters and Other Papers

Background. Pseudohypoaldosteronism (PHA) is characterized by renal tubular resistance to aldosterone. As a result, the symptoms typically involve hyperkalemia and hyponatremia. The aim of this clinical case report is to highlight the severe electrolyte imbalance PHA can present within an infant, as well as difficulties in diagnosing the condition. Case Presentation. A 5-week-old male arrived at the ER with episodes of emesis, lethargy, and difficulty in feeding. He had significant electrolyte abnormalities and was being treated by his PCP for failure to thrive. He presented with urinary sodium wasting, indicated by hyponatremia, hyperkalemia, low chloride, and hypercalcemia. Patient …


Pediatric Growth Patterns In Youth-Onset Type 2 Diabetes Mellitus: Implications For Physiologically-Based Pharmacokinetic Models., Chelsea M. Hosey, Kelsee Halpin, Valentina Shakhnovich, Chengpeng Bi, Brooke Sweeney, Yun Yan, J Steven Leeder Apr 2022

Pediatric Growth Patterns In Youth-Onset Type 2 Diabetes Mellitus: Implications For Physiologically-Based Pharmacokinetic Models., Chelsea M. Hosey, Kelsee Halpin, Valentina Shakhnovich, Chengpeng Bi, Brooke Sweeney, Yun Yan, J Steven Leeder

Manuscripts, Articles, Book Chapters and Other Papers

An accurate understanding of the changes in height and weight of children with age is critical to the development of models predicting drug concentrations in children (i.e., physiologically-based pharmacokinetic models). However, curves describing the growth of a typical population of children may not accurately characterize growth of children with various conditions, such as obesity. Therefore, to develop height and weight versus age growth curves for youth who were diagnosed with type 2 diabetes, we extracted data from electronic medical records. Robust nonlinear models were parameterized to the equations describing height and weight versus age as defined by the Centers for …


Contrast Pattern Mining With The T1d Exchange Clinic Registry Reveals Complex Phenotypic Factors And Comorbidity Patterns Associated With Familial Versus Sporadic Type 1 Diabetes., Erin M. Tallon, Maria J. Redondo, Chi-Ren Shyu, Danlu Liu, Katrina Boles, Mark A. Clements Mar 2022

Contrast Pattern Mining With The T1d Exchange Clinic Registry Reveals Complex Phenotypic Factors And Comorbidity Patterns Associated With Familial Versus Sporadic Type 1 Diabetes., Erin M. Tallon, Maria J. Redondo, Chi-Ren Shyu, Danlu Liu, Katrina Boles, Mark A. Clements

Manuscripts, Articles, Book Chapters and Other Papers

No abstract provided.