ArticleBMJ open diabetes research & care2021
Hospital utilization for hypoglycemia among patients with type 2 diabetes using pooled data from six health systems.
Article in BMJ open diabetes research & care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Hypoglycaemia Risk Prediction Models for Type 2 Diabetes: A Systematic Review and Meta-Analysis.Endocrinology, diabetes & metabolism · 2026Pooled it
- 6. Glycemic Goals, Hypoglycemia, and Hyperglycemic Crises: Standards of Care in Diabetes-2026.Diabetes care · 2026Review
- Predictive factors of hypoglycemia in type 2 diabetes: a prospective study using machine learning.Scientific reports · 2025Article
- A National Physician Survey Examining Switching From Sulfonylureas or Insulin to Newer Diabetes Medications.Clinical diabetes : a publication of the American Diabetes Association · 2025Article
- 6. Glycemic Goals and Hypoglycemia: Standards of Care in Diabetes-2025.Diabetes care · 2025Review
- Development and Validation of a Nocturnal Hypoglycaemia Risk Model for Patients With Type 2 Diabetes Mellitus.Nursing open · 2024Article
- A National Survey of Physicians' Views on the Importance and Implementation of Deintensifying Diabetes Medications.Journal of general internal medicine · 2024Article
- Medication-Related Hospital Admissions and Emergency Department Visits in Older People with Diabetes: A Systematic Review.Journal of clinical medicine · 2024Review
- 6. Glycemic Goals and Hypoglycemia: Standards of Care in Diabetes-2024.Diabetes care · 2024Review
- A Qualitative Study of Perspectives of Older Adults on Deintensifying Diabetes Medications.Journal of general internal medicine · 2023Article
- Time to start addressing (and not just describing) the social determinants of diabetes: results from the NEXT-D 2.0 network.BMJ open diabetes research & care · 2021Article
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Authors and funding
9 authors.
Funding
Abstract
introductionHypoglycemia is the most common serious adverse effect of diabetes treatment and a major cause of medication-related hospitalization. This study aimed to identify trends and predictors of hospital utilization for hypoglycemia among patients with type 2 diabetes using electronic health record data pooled from six academic health systems. RESEARCH DESIGN AND
methodsThis retrospective open cohort study included 549 041 adults with type 2 diabetes receiving regular care from the included health systems between 2009 and 2019. The primary outcome was the yearly event rate for hypoglycemia hospital utilization: emergency department visits, observation visits, or inpatient admissions for hypoglycemia identified using a validated International Classification of Diseases Ninth Revision (ICD-9) algorithm from 2009 to 2014. After the transition to ICD-10 in 2015, we used two ICD-10 code sets (limited and expanded) for hypoglycemia hospital utilization from prior studies. We identified independent predictors of hypoglycemia hospital utilization using multivariable logistic regression analysis with data from 2014.
resultsYearly rates of hypoglycemia hospital utilization decreased from 2.7 to 1.6 events per 1000 patients from 2009 to 2014 (p-trend=0.023). From 2016 to 2019, yearly event rates were stable ranging from 5.6 to 6.6, or 6.3 to 7.3, using the limited and expanded ICD-10 code sets, respectively. In 2014, the strongest independent risk factors for hypoglycemia hospital utilization were chronic kidney disease (OR 2.86, 95% CI 2.33 to 3.57), ages 18-39 years (OR 2.43 vs age 40-64 years, 95% CI 1.78 to 3.31), and insulin use (OR 2.13 vs no diabetes medications, 95% CI 1.67 to 2.73).
conclusionsRates of hypoglycemia hospital utilization decreased from 2009 to 2014 and varied considerably by clinical risk factors such that younger adults, insulin users, and those with chronic kidney disease were at especially high risk. There is a need to validate hypoglycemia ascertainment using ICD-10 codes, which detect a substantially higher number of events compared with ICD-9.
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