This study quantified the excess burden of hospital-based care associated with diabetes across adult ages in the United States. The analysis estimated both inpatient admissions and emergency department (ED) visits attributable to diabetes and identified which causes account for the greatest excess use in different age groups. The authors emphasize that the epidemiology of diabetes is shifting—diagnosis is occurring at younger ages and life expectancy is increasing—which may alter patterns of health-care utilization and the conditions driving hospital use.
National 2019 datasets were used to derive U.S. estimates of hospital use among adults with and without diabetes. Specifically, the authors combined the 2019 Behavioral Risk Factor Surveillance System with the 2019 National Inpatient Sample and the 2019 Nationwide Emergency Department Sample. These sources provided denominators and event counts required to estimate national rates by age.
The principal analytic metric was the age-standardized absolute risk difference (ARD) in rates of inpatient admissions and ED visits for people with diabetes compared with people without diabetes. ARDs were calculated for cause-specific diagnoses to identify leading contributors to diabetes-related hospital use by age and by care setting. Complications and conditions were grouped into three categories: traditional diabetes complications, conditions emerging as associated with diabetes, and other conditions that commonly co-occur with diabetes.
Conditions were categorized as:
The article reports ARD ranges for key categories and specific diagnoses rather than single point estimates for all items; those ranges are presented below as reported.
For inpatient admissions, traditional complications accounted for a substantial portion of the excess hospital burden among people with diabetes. The largest contributors in this category were sepsis, cardiorenal disease, acute kidney failure, myocardial infarction, and stroke. Reported ARDs for these traditional complications ranged approximately from 296 to 2,623 additional admissions per 100,000 people with diabetes, indicating substantial absolute excess rates for several classic diabetes-related severe outcomes.
Conditions classified as emerging diabetes-associated diagnoses also contributed meaningfully to excess inpatient use. Notable items in this grouping included pneumonia and device- and procedure-related complications, with reported ARD ranges of about 125 to 473 per 100,000. Mental health diagnoses characterized as schizoaffective or other severe mental health disorders were identified as drivers of excess inpatient admissions specifically among younger adults, with ARDs reported in the range 80 to 312 per 100,000 in those age groups.
The analysis also highlighted several other co-occurring conditions that increased hospital use across age groups. Respiratory disorders and fluid/electrolyte disorders showed ARD ranges approximately 100 to 363 per 100,000 across ages. In older adults, digestive and urinary disorders were more prominent contributors to excess inpatient admissions, with ARD ranges reported roughly 229 to 482 per 100,000.
Cause-specific patterns for ED visits were broadly similar to those seen for inpatient admissions, but absolute risk differences were lower for ED visits. The reported ARD range for ED visits was approximately 101 to 707 per 100,000 people with diabetes, reflecting that while ED use follows similar diagnostic patterns, the magnitude of excess risk is generally smaller in the ED setting versus inpatient admissions.
The authors conclude that diabetes drives substantial, age-specific excess inpatient and ED use in the United States. Importantly, the results indicate an increasing contribution of nontraditional conditions—such as infectious diagnoses, device/procedure complications, and certain mental health disorders—rather than solely classic vascular and renal complications. This shift suggests that health systems and clinicians may need to consider a broader set of conditions when planning prevention and management strategies to reduce hospital-based resource use associated with diabetes across different age groups.
The research was supported by grants from the National Institute of Diabetes and Digestive and Kidney Diseases (grants listed in the article). The study was published online ahead of print in Diabetes Care (2026) with PubMed identifier (PMID) 42611023 and DOI 10.2337/dc26-0861. The authors and their institutional affiliations are listed in the source article. Specific numerical details beyond those reported in the abstract or full article text are not provided here.