Evidence map›Paper›PMID 19408029›Full record

ArticleSleep & breathing = Schlaf & Atmung2009

Accuracy of autotitrating CPAP to estimate the residual Apnea-Hypopnea Index in patients with obstructive sleep apnea on treatment with autotitrating CPAP.

Himanshu Desai, Anil Patel, Pinal Patel, Brydon J B Grant, M Jeffery Mador

Abstract read
PubMed Publisher
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Trial
  3. Validation of the System One RemStar Auto A-Flex for Obstructive Sleep Apnea Treatment and Detection of Residual Apnea-Hypopnea Index: A European Randomized Trial.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2017
    Trial
  4. Trial
  5. Trial
  6. Review
  7. Article
  8. Article
  9. Article
  10. A longitudinal study of the accuracy of positive airway pressure therapy machine-detected apnea-hypopnea events.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
    Article
  11. Article
  12. Review
  13. Interpreting CPAP device respiratory indices in children.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2020
    Article
  14. Use of the WatchPAT to detect occult residual sleep-disordered breathing in patients on CPAP for obstructive sleep apnea.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2020
    Article
  15. Article
  16. Urgent Need to Improve PAP Management: The Devil Is in Two (Fixable) Details.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2017
    Article
  17. Residual Events during Use of CPAP: Prevalence, Predictors, and Detection Accuracy.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2016
    Article
  18. Auto-CPAP: saving money as a single tool for OSA.Sleep & breathing = Schlaf & Atmung · 2016
    Article
  19. All APAPs Are Not Equivalent for the Treatment of Sleep Disordered Breathing: A Bench Evaluation of Eleven Commercially Available Devices.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2015
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Himanshu DesaiState University of New York at Buffalo, USA.
Anil Patel
Pinal Patel
Brydon J B Grant
M Jeffery Mador

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAutotitrating continuous positive airway pressure (auto-CPAP) devices now have a smart card (a pocket-sized card with embedded integrated circuits which records data from the CPAP machine such as CPAP usage, CPAP pressure, large leak, etc.) which can estimate the Apnea-Hypopnea Index (AHI) on therapy. The aim of this study was to determine the accuracy of auto-CPAP in estimating the residual AHI in patients with obstructive sleep apnea (OSA) who were treated with auto-CPAP without a CPAP titration study. PATIENTS AND

methodsWe studied 99 patients with OSA from April 2005 to May 2007 who underwent a repeat sleep study using auto-CPAP. The estimated AHI from auto-CPAP was compared with the AHI from an overnight polysomnogram (PSG) on auto-CPAP using Bland-Altman plot and likelihood ratio analyses. A PSG AHI cutoff of five events per hour was used to differentiate patients optimally treated with auto-CPAP from those with residual OSA on therapy.

resultsBland and Altman analysis showed good agreement between auto-CPAP AHI and PSG AHI. There was no significant bias when smart card estimates of AHI at home were compared to smart card estimates obtained in the sleep laboratory. An auto-CPAP cutoff for the AHI of six events per hour was shown to be optimal for differentiating patients with and without residual OSA with a sensitivity of 0.92 (95% confidence interval (CI) 0.76 to 0.98) and specificity of 0.90 (95% CI 0.82 to 0.95) with a positive likelihood ratio (LR) of 9.6 (95% CI 5.1 to 21.5) and a negative likelihood ratio of 0.085 (95% CI 0.02 to 0.25). Auto-CPAP AHI of eight events per hour yielded the optimal sensitivity (0.94, 95% CI 0.73 to 0.99) and specificity (0.90, 95% CI 0.82 to 0.95) with a positive LR of 9.6 (95% CI 5.23 to 20.31) and a negative LR of 0.065 (95% CI 0.004 to 0.279) to identify patients with a PSG AHI of > or = 10 events per hour.

conclusionAuto-CPAP estimate of AHI may be used to estimate residual AHI in patients with OSA of varying severity treated with auto-CPAP.

Indexed as

MicrocomputersAdultAgedAir PressureAlgorithmsArousalContinuous Positive Airway PressureFemaleHumansMaleMiddle AgedPolysomnographySleep Apnea, ObstructiveSoftware DesignTherapy, Computer-Assisted

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.