{
  "abstract": "Objective. -To investigate the glycemic balance before, during and after the 2016 Paris Marathon using a real-time continuous glucose monitoring (RT-CGM) system in patients with type 1 diabetes mellitus in a prospective single-center observational study.\n\nMethods. -Inclusion criteria were as follows: type 1 diabetes mellitus; age ≥18 years; HbA1c < 9%. Participants performed two 2h-preparatory races (PR) before the Marathon and were monitored with RT-CGM 24h before, during and 72h after each race. Hypoglycemic events were prevented via carbohydrate intake / insulin dose adjustments. The primary outcome was area under the curve (AUC) < 70 and > 200 mg/dl and percentage of time spent in euglycemia, hypoglycemia, and hyperglycemia during the races.\n\nResults. -Twelve patients (2F/10M; median HbA1c=6.8%) were included and completed the study. Median AUC < 70 and time spent in hypoglycemia (< 70 mg/dl) during the PRs and Marathon were equal to 0. However, no hypoglycemic episodes occurred during Marathon, while two patients experienced hypoglycemia during PR1 and PR2. There was a significant increase in AUC > 200 mg/dl during races between PR2 and Marathon (P = 0.009) although the median time spent > 200mg/dl was not statistically different in Marathon versus PR2 (48.4% versus 18.4%; P = 0.09). Median time spent in euglycemia (70-200 mg/dl) was lower in Marathon versus PR2 (51.6 versus 58%; P = 0.03).\n\nConclusion. -Our study proposes a medical support protocol for extreme endurance physical activity in patients with type 1 diabetes mellitus. Our results suggest that RT-CGM, coupled with adjustments in carbohydrate intake and insulin doses, appears to be effective to prevent hypoglycemia during and after exercise.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "name": "Philippe Thuillier"
    },
    {
      "name": "Nikhil Domun"
    },
    {
      "name": "Emmanuel Sonnet"
    },
    {
      "name": "Florent Le Ven"
    },
    {
      "name": "Caroline Roudaut"
    },
    {
      "name": "Anne Kergus"
    },
    {
      "name": "Véronique Kerlan"
    },
    {
      "name": "Nathalie Roudaut"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1r2n3831171xr.bib",
  "cited_by": 5,
  "doi": "10.1016/j.diabet.2022.101321",
  "fulltext_url": null,
  "id": "1r2n3831171xr",
  "issns": [
    "1262-3636",
    "1878-1780"
  ],
  "landing_url": "https://hal.science/hal-05753729v1",
  "language": "en",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.sdv"
    ],
    [
      "openalex",
      "2712|Diabetes Management and Research"
    ]
  ],
  "openalex": "W4205647421",
  "pdf_url": "https://hal.science/hal-05753729/document",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-17",
  "publisher": "Elsevier Masson",
  "ris": "https://research.draconitic.com/paper/1r2n3831171xr.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:36Z",
      "native_id": "hal-05753729",
      "source": "hal",
      "url": "https://hal.science/hal-05753729v1"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2712|Diabetes Management and Research",
      "subfield": "endocrinology-metabolism"
    }
  ],
  "title": "Prevention of exercise-induced hypoglycemia in 12 patients with type 1 diabetes running the Paris Marathon using continuous glucose monitoring: A prospective, single-center observational study",
  "title_text": "Prevention of exercise-induced hypoglycemia in 12 patients with type 1 diabetes running the Paris Marathon using continuous glucose monitoring: A prospective, single-center observational study",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:36Z",
  "url": "https://research.draconitic.com/paper/1r2n3831171xr",
  "venue": "Diabetes & Metabolism",
  "versions": []
}