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Data were obtained through a standardized questionnaire and ophthalmological examinations. Latent class analysis was applied to identify subgroups with similar clinical characteristics. Models with two to four classes were estimated, with the two-class model presenting the most parsimonious and interpretable solution according to BIC. Associations between classes and comorbidities were estimated using Poisson regression with robust variance, adjusted for age and sex.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Two classes were identified. Class 1 (86.6%) showed lower complication burden, with preserved vascular and sensory function. Class 2 (13.4%) was characterized by a higher frequency of ulceration, amputation, absent peripheral pulses, and impaired protective sensation. Individuals in Class 2 presented higher prevalence of cardiovascular disease (PR\u2009=\u20091.47), myocardial infarction (PR\u2009=\u20091.64), neurological disease (PR\u2009=\u20091.67), and retinopathy (PR\u2009=\u20091.63).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The identified classes primarily reflect differences in peripheral complication burden, with higher co-occurrence of vascular and microvascular conditions in the more affected group. These findings describe patterns of complication clustering within a screening population and may support population-level strategies for identifying individuals with greater healthcare needs.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00592-026-02703-7","type":"journal-article","created":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T09:17:11Z","timestamp":1778059031000},"page":"1225-1230","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Patterns of complication burden in people with diabetes: a latent class analysis approach"],"prefix":"10.1007","volume":"63","author":[{"given":"B\u00e1rbara Maria Farias","family":"Kruschewsky","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roseanne Montargil","family":"Rocha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcelo","family":"Ara\u00fajo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rafael","family":"Ernane Andrade","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4389-7810","authenticated-orcid":false,"given":"Icaro J. 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