Is kidney a new organ target in patients with obstructive sleep apnea? Research priorities in a rapidly evolving

Athanasios Voulgaris1, Maria R Bonsignore2, Sophia Schiza3

  • 1MSc Programme in Sleep Medicine, Medical School, Democritus University of Thrace, Alexandroupolis, Greece; Department of Respiratory Medicine, Medical School, Democritus University of Thrace, Alexandroupolis, Greece.

Sleep Medicine
|September 2, 2021
PubMed

Insights

Obstructive sleep apnea (OSA) is common in chronic kidney disease (CKD) and may worsen kidney function. Treating both conditions is crucial, but better patient selection for therapies is needed.

Area of Science:

  • Nephrology
  • Pulmonology
  • Sleep Medicine

Background:

  • Sleep disordered breathing (SDB) and chronic kidney disease (CKD) share a complex bidirectional relationship.
  • Obstructive sleep apnea (OSA) is highly prevalent in patients with CKD and end-stage renal disease (ESRD).
  • OSA may contribute to kidney function decline, particularly in patients with cardio-metabolic conditions.

Purpose of the Study:

  • To review recent research on the epidemiological associations between OSA and CKD/ESRD.
  • To explore the pathophysiological mechanisms linking OSA and kidney disease.
  • To update knowledge on the management strategies for patients with coexisting OSA and CKD/ESRD.

Main Methods:

  • Narrative review of recent scientific literature.
  • Synthesis of epidemiological data.
  • Analysis of pathophysiological interactions.
  • Evaluation of current management approaches.

Main Results:

  • High co-occurrence of OSA in CKD/ESRD populations.
  • Evidence suggesting OSA exacerbates kidney disease progression.
  • Potential for mutual treatment effects on disease trajectories.
  • Need for improved phenotyping and tailored treatment.

Conclusions:

  • The interplay between OSA and CKD/ESRD is significant and warrants clinical attention.
  • Effective management requires a comprehensive understanding of their relationship.
  • Further research is needed to optimize treatment strategies through precise patient stratification.

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