Background: Acute kidney injury (AKI) in cirrhosis is common. The diagnosis of AKI in cirrhosis patients depends on clinical presentation and laboratory tests like serum creatinine. However, urine biomarkers could also be used to assess the type of AKI and the severity of the disease.
View Article and Find Full Text PDFJ Community Hosp Intern Med Perspect
September 2023
Overcrowding in the Emergency department (ED) necessitates a major challenge in delivering high-quality care in acute settings. This study presents a novel approach to modeling the relationship between the day of the week, ED arrivals, chest pain (CP), and acute myocardial infarction (AMI) using regression analysis. We analyzed data from 2016 to 2019 across three platforms: a nationwide representative sample (NHAMCS), a federated data network (TriNetX), and a regional medical center.
View Article and Find Full Text PDFBackground: Duty to care is integral to nursing practice. Personal obligations that normally conflict with professional obligations are likely amplified during a public health emergency such as COVID-19. Organizations can facilitate a nurse's ability to fulfill the duty to care without compromising on personal obligations.
View Article and Find Full Text PDFJ Community Hosp Intern Med Perspect
September 2021
Background: Public awareness of the large mortality toll of COVID-19 particularly among elderly and frail persons is high. This public awareness represents an enhanced opportunity for early and urgent goals-of-care discussions to reduce medically ineffective care.
Objective: To assess the end-of-life experiences of hospitalized patients dying of COVID-19 with respect to identifying the clinical factors associated with utilization or non-utilization of the ICU.
Emergency department (ED) overcrowding is a national problem that is associated with ambulance diversion, decreased patient and provider satisfaction and poor patient outcomes. This study presents a novel approach to modeling the relationship between time of day, day of week, and ED arrivals using a hierarchical polynomial regression model. A series of hierarchical regression models were created to determine polynomial effects and capture the covariability (defined as R) of the relationships from the 2009 to 2017 National Hospital Ambulatory Medical Care Survey (NHAMCS) Emergency Department Public Use Data File and institutional data from a regional medical center from 2018 to 2019.
View Article and Find Full Text PDFObjective: The objective of this study was to determine the attitudes of oncology patients regarding the causes and preventability of unplanned hospitalizations.
Methods: Convenience sample using a 36-question survey instrument adapted from prior studies of hospital readmissions.
Results: A total of 95 evaluable patients answered >75% of survey items.