Evidence map›Paper›PMID 36455958›Full record

ArticleThe European respiratory journal2023

Respiratory effort during sleep and prevalent hypertension in obstructive sleep apnoea.

Jean-Benoit Martinot, Nhat-Nam Le-Dong, Atul Malhotra, Jean-Louis Pépin

Open access · hybridAbstract read
In one paragraph

Article in The European respiratory journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 4% of its field
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. From classic to cutting-edge: technological approaches to respiratory physiological signals in assessing sleep-disordered breathing.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
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  20. Insights on mandibular jaw movements during polysomnography in obstructive sleep apnea.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 3 countries.

Jean-Benoit MartinotSleep Laboratory, CHU Université Catholique de Louvain (UCL) Namur Site Sainte-Elisabeth, Namur, Belgium martinot.j@respisom.be.ORCID 0000-0001-8536-7300
Nhat-Nam Le-DongSunrise, Namur, Belgium.
Atul MalhotraDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of California San Diego, La Jolla, CA, USA.
Jean-Louis PépinHP2 Laboratory, Inserm U1300, University Grenoble Alpes, Grenoble, France.
Inserm · FRUCLouvain · BEUniversity of California San Diego · US

Funding

Is Obstructive Sleep Apnea Important in the Development of Alzheimer's DiseaseR01AG063925 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL · 2020 to 2024
$3.7M
Underlying mechanisms of obesity-induced obstructive sleep apneaR01HL148436 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Atul Malhotra · 2020 to 2026
$3.4M
Sleep Apnea Endophenotypes: One Size Does Not Fit AllR01HL154926 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL · 2021 to 2025
$3.3M
VentNet: A Real-Time Multimodal Data Integration Model for Prediction of Respiratory Failure in Patients with COVID-19R01HL157985 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL, NEMATI, SHAMIM · 2022 to 2025
$2.9M
Training in the Next Generation in Respiratory ScienceT32HL134632 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL, POWELL, FRANK L. · 2017 to 2021
$2.1M
Assessment of Upper Airway Mechanics Using Newer Electromyographic TechniquesK24HL132105 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL · 2016 to 2020
$611k
NHLBI NIH HHS K24 HL132105NHLBI NIH HHS R01 HL148436NHLBI NIH HHS R01 HL154926NHLBI NIH HHS R01 HL157985NHLBI NIH HHS T32 HL134632NIA NIH HHS R01 AG063925
6 · The paper itself

Abstract

backgroundMechanisms underlying blood pressure changes in obstructive sleep apnoea (OSA) are incompletely understood. Increased respiratory effort is one of the main features of OSA and is associated with sympathetic overactivity, leading to increased vascular wall stiffness and remodelling. This study investigated associations between a new measure of respiratory effort (percentage of total sleep time spent with increased respiratory effort based on measurement of mandibular jaw movements (MJM): REMOV, %TST) and prevalent hypertension in adults referred for evaluation of suspected OSA.

methodsA machine learning model was built to predict hypertension from clinical data, conventional polysomnography (PSG) indices and MJM-derived parameters (including REMOV). The model was evaluated in a training subset and a test subset.

resultsThe analysis included 1127 patients: 901 (80%) in the training subset and 226 (20%) in the test subset. The prevalence of hypertension was 31% and 30%, respectively, in the training and test subsets. A risk stratification model based on 18 input features including REMOV had good accuracy for predicting prevalent hypertension (sensitivity 0.75 and specificity 0.83). Using the Shapley additive explanation method, REMOV was the best predictor of hypertension after clinical risk factors (age, sex, body mass index and neck circumference) and time with oxygen saturation <90%, ahead of standard PSG metrics (including the apnoea-hypopnoea index and oxygen desaturation index).

conclusionThe proportion of sleep time spent with increased respiratory effort automatically derived from MJM was identified as a potential new reliable metric to predict prevalent hypertension in patients with OSA.

Indexed as

HypertensionSleep Apnea, ObstructiveAdultHumansPolysomnographyRisk FactorsSleep

Identifiers

PMID36455958
PMCPMC9978160
OpenAlexW4310591558

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.