Cluster analysis of adult individuals with type 1 diabetes: Treatment pathways and complications over a five-year follow-up period.
Diabetes Res Clin Pract
; 215: 111803, 2024 Sep.
Article
en En
| MEDLINE
| ID: mdl-39089589
ABSTRACT
AIMS:
To identify subgroups of adults with type 1 diabetes and analyse their treatment pathways and risk of diabetes-related complications over a 5-year follow-up.METHODS:
We performed a k-means cluster analysis using the T1DExchange Registry (n = 6,302) to identify subgroups based on demographic and clinical characteristics. Annual reassessments linked treatment trajectories with these clusters, considering drug and technology use. Complication risks were analysed using Cox regression.RESULTS:
Five clusters were identified 1) A favourable combination of all variables (31.67 %); 2) Longer diabetes duration (22.63 %); 3) Higher HbA1c levels (13.28 %); 4) Higher BMI (15.25 %); 5) Older age at diagnosis (17.17 %). Two-thirds of patients remained in their initial cluster annually. Technology adoption showed improved glycaemic control over time. Cox proportional hazards showed different risk patterns Cluster 1 had low complication risk; Cluster 2 had the highest risk for retinopathy, coronary artery disease and autonomic neuropathy; Cluster 3 had the highest risk for albuminuria, depression and diabetic ketoacidosis; Cluster 4 had increased risk for multiple complications; Cluster 5 had the highest risk for hypertension and severe hypoglycaemia, with elevated coronary artery disease risk.CONCLUSIONS:
Clinical characteristics can identify subgroups of patients with T1DM showing differences in treatment and complications during follow-up.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Diabetes Mellitus Tipo 1
Límite:
Adult
/
Female
/
Humans
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Male
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Middle aged
Idioma:
En
Revista:
Diabetes Res Clin Pract
Asunto de la revista:
ENDOCRINOLOGIA
Año:
2024
Tipo del documento:
Article
País de afiliación:
España