Literature DB >> 34252506

Trends and risk factors in severe hypoglycemia among individuals with type 2 diabetes in Korea.

Seung Eun Lee1, Kyoung-Ah Kim2, Kang Ju Son3, Sun Ok Song4, Kyeong Hye Park5, Se Hee Park6, Joo Young Nam7.   

Abstract

AIMS: Because of the development of new classes of antidiabetic drugs, hypoglycemic events were expected to decrease. We investigated the trends and risk factors for severe hypoglycemia in subjects with type 2 diabetes in Korea.
METHODS: We conducted repeated cross-sectional analyses using a Korean National Health Insurance Service-National Sample Cohort from 2006 to 2015. Severe hypoglycemia was defined as hospitalization or a visit to an emergency department with diagnosis of hypoglycemia using ICD-10 codes.
RESULTS: During the study period, the prevalence of type 2 diabetes continuously increased. The percentage of patients prescribed metformin and dipeptidyl peptidase-4 inhibitor increased, while the use of sulfonylurea decreased considerably, especially since 2009. The proportion of patients prescribed ≥3 classes of drugs continually increased. Age-standardized incidence of severe hypoglycemia per 1000 patients with diabetes increased from 6.00 to 8.24 between 2006 and 2010, and then fell to 6.49 in 2015. Predictors of severe hypoglycemia included female, older age, comorbidities, polypharmacy, and sulfonylurea or insulin usage.
CONCLUSIONS: Trends of severe hypoglycemia were associated with changes in drug classes rather than number of antidiabetic drugs. Relentless efforts to reduce the prescription of drugs with a high risk of hypoglycemia should be implemented, particularly for older women with multiple comorbidities.
Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Elderly; Hypoglycemia; Polypharmacy; Sulfonylurea; Women

Mesh:

Substances:

Year:  2021        PMID: 34252506     DOI: 10.1016/j.diabres.2021.108946

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  4 in total

1.  Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record-Based Machine Learning: Development and Validation.

Authors:  Hao Yang; Jiaxi Li; Siru Liu; Xiaoling Yang; Jialin Liu
Journal:  JMIR Med Inform       Date:  2022-06-16

2.  Association of long-term visit-to-visit variability of HbA1c and fasting glycemia with hypoglycemia in type 2 diabetes mellitus.

Authors:  Chen Long; Yaling Tang; Jiangsheng Huang; Suo Liu; Zhenhua Xing
Journal:  Front Endocrinol (Lausanne)       Date:  2022-08-11       Impact factor: 6.055

3.  The Risk Factors of Severe Hypoglycemia in Older Patients with Dementia and Type 2 Diabetes Mellitus.

Authors:  Nai-Ching Chen; Chien-Liang Chen; Feng-Chih Shen
Journal:  J Pers Med       Date:  2022-01-07

4.  Reproductive Life Span and Severe Hypoglycemia Risk in Postmenopausal Women with Type 2 Diabetes Mellitus.

Authors:  Soyeon Kang; Yong-Moon Park; Dong Jin Kwon; Youn-Jee Chung; Jeong Namkung; Kyungdo Han; Seung-Hyun Ko
Journal:  Diabetes Metab J       Date:  2022-01-24       Impact factor: 5.893

  4 in total

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