Document Detail

Population-based study of severe hypoglycemia requiring emergency medical service assistance reveals unique findings.
MedLine Citation:
PMID:  22401324     Owner:  NLM     Status:  MEDLINE    
OBJECTIVE: The objective is to report a contemporary population-based estimate of hypoglycemia requiring emergency medical services (EMS), its burden on medical resources, and its associated mortality in patients with or without diabetes mellitus (DM, non-DM), which will enable development of prospective strategies that will capture hypoglycemia promptly and provide an integrated approach for prevention of such episodes.
METHODS: We retrieved all ambulance calls activated for hypoglycemia in Olmsted County, Minnesota, between January 1, 2003 and December 31, 2009.
RESULTS: A total of 1473 calls were made by 914 people (DM 8%, non-DM 16%, unknown DM status 3%). Mean age was 60 ± 16 years with 49% being female. A higher percentage of calls were made by DM patients (87%) with proportionally fewer calls coming from non-DM patients (11%) (chi-square test, p < .001), and the remaining 2% calls by people with unknown DM status. Emergency room transportation and hospitalization were significantly higher in non-DM patients compared to DM patients (p < .001) and type 2 diabetes mellitus compared to type 1 diabetes mellitus (p < .001). Sulphonylureas alone or in combination with insulin varied during the study period (p = .01). The change in incidence of EMS for hypoglycemia was tracked during this period. However, causality has not been established. Death occurred in 240 people, 1.2 (interquartile range 0.2-2.7) years after their first event. After adjusting for age, mortality was higher in non-DM patients compared with DM patients (p < .001) but was not different between the two types of DM.
CONCLUSIONS: The population burden of EMS requiring hypoglycemia is high in both DM and non-DM patients, and imposes significant burden on medical resources. It is associated with long-term mortality.
Ajay K Parsaik; Rickey E Carter; Vishwanath Pattan; Lucas A Myers; Hamit Kumar; Steven A Smith; Christopher S Russi; James A Levine; Ananda Basu; Yogish C Kudva
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-01-01
Journal Detail:
Title:  Journal of diabetes science and technology     Volume:  6     ISSN:  1932-2968     ISO Abbreviation:  J Diabetes Sci Technol     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2012-03-09     Completed Date:  2012-07-10     Revised Date:  2013-06-26    
Medline Journal Info:
Nlm Unique ID:  101306166     Medline TA:  J Diabetes Sci Technol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  65-73     Citation Subset:  IM    
Copyright Information:
© 2012 Diabetes Technology Society.
Division of Endocrinology, Diabetes, Nutrition, and Metabolism, Mayo Clinic Rochester, Rochester, Minnesota, USA.
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MeSH Terms
Aged, 80 and over
Ambulances / economics,  statistics & numerical data
Diabetes Complications / epidemiology,  mortality
Emergency Medical Services / statistics & numerical data*
Health Resources / statistics & numerical data
Hypoglycemia / epidemiology*,  mortality,  therapy*
Middle Aged
Minnesota / epidemiology
Severity of Illness Index
Survival Analysis

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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