A meta-analysis of diagnostic test performance of peripheral arterial tonometry studies

Dec 9, 2021Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine

Summary of how well finger artery tests work for diagnosis

AI simplified

Abstract

A pooled mean apnea-hypopnea index (AHI) bias of 0.30 was found in a meta-analysis involving 1,318 participants.

  • The WatchPAT device showed a percentage error of 230% in AHI determination compared to polysomnography (PSG).
  • Cohen's kappa values indicated moderate to poor agreement for classifying sleep apnea severity between PSG and WatchPAT: 0.45 for no apnea, 0.29 for mild, 0.25 for moderate, and 0.64 for severe apnea.
  • Sensitivity and specificity of WatchPAT at AHI thresholds of 5, 15, and 30 events/hour were 94.11% and 43.47%, 92.21% and 72.39%, and 74.11% and 87.10%, respectively.
  • Likelihood ratios for diagnostic accuracy were not significant at any AHI threshold.
  • The results suggest notable discrepancies in AHI measurements and misclassification of sleep apnea severity using the WatchPAT compared to PSG.

AI simplified

what lands in your inbox each week:

  • 📚7 fresh studies
  • 📝plain-language summaries
  • direct links to original studies
  • 🏅top journal indicators
  • 📅weekly delivery
  • 🧘‍♂️always free