Researchers from New York University (NYU) Discuss Findings in Hyperglycemia (Neighborhood-level Risk Factors for Severe Hyperglycemia Among Emergency Department Patients Without a Prior Diabetes Diagnosis): Nutritional and Metabolic Diseases and Conditions – Hyperglycemia

2023 SEP 15 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Fresh data on Nutritional and Metabolic Diseases and Conditions - Hyperglycemia are presented in a new report. According to news reporting originating in New York City, New York, by NewsRx journalists, research stated, “A person’s place of residence is a strong risk factor for important diagnosed chronic diseases such as diabetes. It is unclear whether neighborhood-level risk factors also predict the probability of undiagnosed disease.”

The news reporters obtained a quote from the research from New York University (NYU), “The objective of this study was to identify neighborhood-level variables associated with severe hyperglycemia among emergency department (ED) patients without a history of diabetes. We analyzed patients without previously diagnosed diabetes for whom a random serum glucose value was obtained in the ED. We defined random glucose values & GE; 200 mg/dL as severe hyperglycemia, indicating probable undiagnosed diabetes. Patient addresses were geocoded and matched with neighborhood-level socioeconomic measures from the American Community Survey and claims-based surveillance estimates of diabetes prevalence. Neighborhood-level exposure variables were standardized based on z-scores, and a series of logistic regression models were used to assess the association of selected exposures and hyperglycemia adjusting for biological and social individual-level risk factors for diabetes. Of 77,882 ED patients without a history of diabetes presenting in 2021, 1,715 (2.2%) had severe hyperglycemia. Many geospatial exposures were associated with uncontrolled hyperglycemia, even after controlling for individual-level risk factors. The most strongly associated neighborhood-level variables included lower markers of educational attainment, higher percentage of households where limited English is spoken, lower rates of white-collar employment, and higher rates of Medicaid insurance.”

According to the news reporters, the research concluded: “Including these geospatial factors in risk assessment models may help identify important subgroups of patients with undiagnosed disease.”

This research has been peer-reviewed.

For more information on this research see: Neighborhood-level Risk Factors for Severe Hyperglycemia Among Emergency Department Patients Without a Prior Diabetes Diagnosis. Journal of Urban Health, 2023. Journal of Urban Health can be contacted at: Springer, One New York Plaza, Suite 4600, New York, Ny, United States. (Springer - www.springer.com; Journal of Urban Health - http://www.springerlink.com/content/1099-3460/)

Our news correspondents report that additional information may be obtained by contacting David C. Lee, New York University (NYU), Ronald O Perelman Dept Emergency Med, School of Medicine, 462 First Ave, Room A345, New York, NY 10016, United States. Additional authors for this research include Christian A. Koziatek, Isaac Bohart, Reed Caldwell, Jordan Swartz, Perry Rosen, Sagar Desai, Katarzyna Krol and Daniel B. Neill.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1007/s11524-023-00771-6. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

(Our reports deliver fact-based news of research and discoveries from around the world.)