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The diagnosis of LADA diabetes in a low-resource country: A Peruvian case series

  • Juan Eduardo Quiroz-Aldave
    ,
  • María Del Carmen Durand-Vásquez
    ,
  • Sofía Pilar Ildefonso-Najarro
    ,
  • Elman Rolando Gamarra-Osorio
    ,
  • Susan Luciana Puelles-León
    ,
  • Cyntia Mileini Quesquén-García
*Corresponding author for this work
  • Hospital de Apoyo Chepén
    ,
  • Centro de Salud Mental Comunitario “Abraza la Vida”
    ,
  • Hospital Guillermo Almenara Irigoyen
    ,
  • Hospital Victor Lazarte Echegaray – EsSalud
    ,
  • Red Integrada de Salud Chepén
    ,
  • Universidad Nacional de Trujillo
Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Article number

em653

Journal (Volume, Issue Number)

Electronic Journal of General Medicine (Volume 22, Issue 4)

Publication milestones

  • Published - 08/2025

Publication status

Published - 08/2025

Publication IDs

  • Scopus: 105012828476

Abstract

Introduction: Diabetes mellitus (DM) is a global public health concern, affecting 10% of adults. Among its variants, latent autoimmune diabetes in adults (LADA) accounts for 3% to 11% of cases. Limited awareness and high testing costs contribute to misdiagnosis and inadequate treatment, increasing the risk of chronic complications. Design: A cases series. Methods: Fifteen Peruvian patients with LADA were studied to describe their clinical presentation, diagnosis, and treatment. Results: The average age was 36.2 years, with a mean disease duration of 5.6 years. All patients presented with acute symptoms, and their mean body mass index at diagnosis was 23.3 kg/m². Glycemic control was achieved with an average daily insulin dose of 0.96 IU/kg. None of the patients had access to capillary glucose self-monitoring or continuous glucose monitoring, as all were living in poverty or extreme poverty. Conclusions: LADA is an uncommon form of early-onset DM whose diagnosis and treatment in resource-limited countries are impacted by socioeconomic conditions. Therefore, we propose a clinical algorithm for managing this condition in low-resource settings.

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Sustainable Development Goals

  • SDG 1 - No Poverty
    SDG 1 No Poverty
  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well