Evidence map›Paper›PMID 39208154›Full record

ArticlePloS one2024

Demographics, medication use, and admission characteristics of patients hospitalized with diabetes in Ontario, Canada: A retrospective cohort study.

Michael Colacci, Afsaneh Raissi, Tor Biering-Sørensen, Michelle Gyenes, Benazir Hodzic-Santor, Saba Manzoor, Kristoffer Skaarup, Jason Moggridge, Ashley Raudanskis, Shohinee Sarma and 3 more

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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

  1. Observational
4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Michael ColacciSinai Health System, Division of General Internal Medicine, Toronto, Ontario, Canada.ORCID 0000-0003-4898-6684
Afsaneh RaissiSinai Health System, Division of General Internal Medicine, Toronto, Ontario, Canada.
Tor Biering-SørensenDepartment of Cardiology, Copenhagen University Hospital-Herlev & Gentofte, Copenhagen, Denmark.
Michelle GyenesSinai Health System, Division of General Internal Medicine, Toronto, Ontario, Canada.ORCID 0000-0002-0601-2796
Benazir Hodzic-SantorSinai Health System, Division of General Internal Medicine, Toronto, Ontario, Canada.
Saba ManzoorSinai Health System, Division of General Internal Medicine, Toronto, Ontario, Canada.
Kristoffer SkaarupDepartment of Cardiology, Copenhagen University Hospital-Herlev & Gentofte, Copenhagen, Denmark.
Jason MoggridgeSinai Health System, Division of General Internal Medicine, Toronto, Ontario, Canada.ORCID 0000-0003-1291-5868
Ashley RaudanskisSinai Health System, Division of General Internal Medicine, Toronto, Ontario, Canada.
Shohinee SarmaSinai Health System, Division of General Internal Medicine, Toronto, Ontario, Canada.
Fahad RazakDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Amol VermaDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Michael FralickSinai Health System, Division of General Internal Medicine, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Canada, one in seven adults has diabetes (i.e., 2.3 million) and the lifetime risk of developing diabetes is approximately 30% by age 65. Although 30% of patients admitted to the hospital have diabetes, data from inpatient hospitalizations for patients with diabetes are lacking, both in Canada and globally.

objectiveTo validate International Classification of Diseases 10th edition Canadian version (ICD-10-CA) codes for the identification of patients with diabetes, to create a multicenter database of patients with diabetes hospitalized under internal medicine in Ontario, and to determine their baseline characteristics, medication use, and admission characteristics. STUDY

designWe created a database of people who had diabetes and were hospitalized between 2010 and 2020 at 8 hospitals in Ontario that were part of the General Medicine Inpatient Initiative (GEMINI) hospital data-sharing network. Patients who had diabetes were identified using chart review, based upon either (i) a previous physician diagnosis of diabetes, (ii) a recorded hemoglobin A1c ≥ 6.5% or (iii) outpatient prescription of a diabetes medication preceding the hospitalization. The test characteristics of ICD-10-CA codes for diabetes were evaluated. We compared baseline demographics, medication use and hospitalization details among patients with and without diabetes. For hospitalization details, we collected information on the admission diagnosis, comorbidity index, length of stay, receipt of ICU-level care, and inpatient mortality.

resultsThere were 384,588 admissions within the total study cohort, of which 118,987 (30.9%) had an ICD-10-CA diagnosis code of diabetes (E10.x, E11.x, E13.x, E14.x). The sensitivity and specificity of ICD-10-CA diagnostic codes was 95.9% and 98.8%, respectively. Most patients with an ICD-10-CA code for diabetes had a code for type 2 diabetes (93.9%) and a code for type 1 diabetes was rare (6.1%). The mean age was 66.4 years for patients without diabetes and 71.3 years for those with an ICD-10-CA diagnosis code for diabetes. Patients with diabetes had a higher prevalence of hypertension (64% vs. 37.9%), coronary artery disease (28.7% vs. 15.3%), heart failure (24.5% vs. 12.1%) and renal failure (33.8% vs. 17.3%) in comparison to those without diabetes. The most prevalent diabetes medications received in hospital were metformin (43%), DPP4 inhibitors (22.7%) and sulfonylureas (18.8%). The most common reason for admission among patients with diabetes was heart failure (9.0%), and among patients without diabetes was pneumonia (7.8%). Median length of stay was longer for patients with diabetes (5.5 vs. 4.5 days) and in-hospital mortality was similar between groups (6.8% with diabetes vs. 6.5% without diabetes). IMPORTANCE: Diabetes is one of the most prevalent chronic medical conditions, affecting roughly one third of all patients hospitalized on an internal medicine ward and is associated with other comorbidities and longer hospital stays. ICD-10-CA codes were highly accurate in identifying patients with diabetes. The development of an inpatient cohort will allow for further study of in-hospital practices and outcomes among patients with diabetes.

Indexed as

Diabetes MellitusHospitalizationAdultAgedAged, 80 and overDatabases, FactualFemaleHumansHypoglycemic AgentsInternational Classification of DiseasesMaleMiddle AgedOntarioRetrospective StudiesHypoglycemic Agents

Identifiers

PMID39208154
PMCPMC11361565

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.