{
  "abstract": "BACKGROUND: Adaptive servo-ventilation (ASV) effectively treats central sleep apnea (CSA), with or without coexisting obstructive sleep apnea (CSA-OSA). However, this is a diverse patient group, and the characteristics of patients who are most likely to benefit from ASV therapy, outside of traditional etiology-based subgroups, are unknown. OBJECTIVES: To identify clusters of ASV-treated patients based on anthropometric data and comorbidities, and to evaluate the differential response to ASV in these patient clusters. METHODS: This analysis used data from the READ-ASV registry, which enrolled adults with CSA prescribed ASV from September 2017-March 2021. Evaluations included the Epworth Sleepiness Scale, Functional Outcomes of Sleep Questionnaire, Pittsburg Sleep Quality Index, EuroQol-5-dimension, and sleep study data. Latent class analysis was used to identify patient clusters based on baseline anthropometric data and comorbidities. RESULTS: Of 812 patients, 421 (52%) were in Cluster (C) 1 (older, high rate of cardiovascular comorbidities [including stroke], high body mass index [BMI]), 239 (29%) were in C2 (elderly/middle-aged, average-low cardiovascular comorbidity rate, high stroke rate, lower BMI, low diabetes rate), and 152 (19%) were in Cluster 3 (younger, low cardiovascular comorbidity rate, higher BMI, high depression rate). Patients from C3 versus C1/C2 had the highest apnea-hypopnea index at baseline (55 vs. 48/39.5 events/h), were the most symptomatic, had the worst quality of life (QoL), and had the greatest symptomatic and QoL improvement on ASV. They remained the most symptomatic cluster after treatment. CONCLUSIONS: The identification of subgroups of ASV users with differing responses to therapy and residual symptom burden could facilitate a more personalized approach to ASV prescription and therapy management. CLINICAL TRIAL REGISTRATION: https://www. CLINICALTRIALS: gov; NCT03032029.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "name": "Jean-Louis Pépin"
    },
    {
      "name": "Raphael Heinzer"
    },
    {
      "name": "Sébastien Bailly"
    },
    {
      "name": "Florent Lavergne"
    },
    {
      "name": "Adam Benjafield"
    },
    {
      "name": "Susanne Fischer"
    },
    {
      "name": "Holger Woehrle"
    },
    {
      "name": "Michael Arzt"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/f23bx8e3rzbby.bib",
  "cited_by": 0,
  "doi": "10.1016/j.sleep.2026.109085",
  "fulltext_url": null,
  "id": "f23bx8e3rzbby",
  "issns": [
    "1389-9457",
    "1878-5506"
  ],
  "landing_url": "https://hal.science/hal-05744105v1",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.sdv"
    ],
    [
      "openalex",
      "2737|Obstructive Sleep Apnea Research"
    ]
  ],
  "openalex": "W7164743143",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-09",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/f23bx8e3rzbby.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:33Z",
      "native_id": "hal-05744105",
      "source": "hal",
      "url": "https://hal.science/hal-05744105v1"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2737|Obstructive Sleep Apnea Research",
      "subfield": "physiology"
    }
  ],
  "title": "Clinical profile of responders to adaptive servo-ventilation: a cluster analysis from the READ-ASV European cohort",
  "title_text": "Clinical profile of responders to adaptive servo-ventilation: a cluster analysis from the READ-ASV European cohort",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:33Z",
  "url": "https://research.draconitic.com/paper/f23bx8e3rzbby",
  "venue": "Sleep Medicine",
  "versions": []
}