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July 26, 2026RespirationOpen Access

Predictor Of Mortality In Obstructive Sleep Apnoea: Results of Explainable Deep Learning based Survival Analysis From a 15-Year Follow-Up

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Authors

GPGaetano PaganoGCGiorgio CastellanaGDGiovanni D'Addio

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Overview

Randomized trial explores mortality predictors in obstructive sleep apnoea, suggesting importance of age and comorbidities.

Key Points

  • This research aims to identify factors influencing mortality in obstructive sleep apnoea patients over a 15-year period using advanced analysis techniques.
  • Survival analysis enhanced with explainable artificial intelligence techniques
  • Analysis of a dataset containing 45 features from 1394 obstructive sleep apnoea patients
  • Utilization of deep learning models and time-dependent techniques to evaluate predictor importance
  • Age and the severity of obstructive sleep apnoea significantly influence mortality risk
  • Key comorbidities include chronic kidney disease, COPD, and anemia
  • Years of CPAP treatment also play a critical role in reducing mortality risk

Cite This Study

Pagano et al. (2026) studied this question.

synapsesocial.com/papers/6a65a6b5d3aea3239cd77d71https://doi.org/10.1159/000552344
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1PREDICTORS OF MORTALITY IN HYPERTENSIVE OLDER PATIENTS WITH OBSTRUCTIVE SLEEP APNEA: THE ROLE OF INTERMITTENT HYPOXIA2026
  2. 2Who Really Benefits from CPAP? Disease Severity, Response Quality, and Long-Term Survival in Obstructive Sleep Apnea2026
  3. 3Comorbidity Profile and Predictors of Obstructive Sleep Apnea Severity and Mortality in Non-Obese Obstructive Sleep Apnea Patients2023 · 15 citations
  4. 4Stratifying the Risk of Cardiovascular Disease in Obstructive Sleep Apnea Using Machine Learning2021 · 12 citations
  5. 5Obstructive Sleep Apnea and Risk of Cardiovascular Events and All-Cause Mortality: A Decade-Long Historical Cohort Study2014 · 432 citations