Evidence map›Paper›PMID 31996224›Full record

ArticleRespiratory research2020

Cardiometabolic comorbidities in obstructive sleep apnea patients are related to disease severity, nocturnal hypoxemia, and decreased sleep quality.

Stephanie André, Fabio Andreozzi, Chloé Van Overstraeten, Sidali Ben Youssef, Ionela Bold, Sarah Carlier, Alexia Gruwez, Anne-Violette Bruyneel, Marie Bruyneel

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

35 citing papers in PubMed, 61 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Stephanie AndréDepartment of Pulmonary Medicine, Saint-Pierre University Hospital, Rue Haute 322, 1000, Brussels, Belgium.
Fabio AndreozziDepartment of Pulmonary Medicine, Saint-Pierre University Hospital, Rue Haute 322, 1000, Brussels, Belgium.
Chloé Van OverstraetenDepartment of Pulmonary Medicine, Saint-Pierre University Hospital, Rue Haute 322, 1000, Brussels, Belgium.
Sidali Ben YoussefDepartment of Pulmonary Medicine, Saint-Pierre University Hospital, Rue Haute 322, 1000, Brussels, Belgium.
Ionela BoldDepartment of Pulmonary Medicine, Saint-Pierre University Hospital, Rue Haute 322, 1000, Brussels, Belgium.
Sarah CarlierDepartment of Pulmonary Medicine, Saint-Pierre University Hospital, Rue Haute 322, 1000, Brussels, Belgium.
Alexia GruwezDepartment of Pulmonary Medicine, Saint-Pierre University Hospital, Rue Haute 322, 1000, Brussels, Belgium.
Anne-Violette BruyneelKiCarre, research department, Lentilly, France.
Marie BruyneelDepartment of Pulmonary Medicine, Saint-Pierre University Hospital, Rue Haute 322, 1000, Brussels, Belgium. Marie_Bruyneel@stpierre-bru.be.ORCID http://orcid.org/0000-0002-7035-1266
Université Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObstructive sleep apnea syndrome (OSA) is currently recognized as an independent risk factor for hypertension, arrhythmia, coronary heart disease, stroke, and metabolic disorders (e.g. diabetes, dyslipidemia). In clinical practice, apnea-hypopnea index (AHI) is the marker used to classify disease severity and guide treatment. However, AHI alone does not sufficiently identify OSA patients at risk for cardiometabolic comorbidities. With this in mind, the aim of this retrospective study was to determine whether some polysomnographic parameters (e.g. apnea-hypopnea duration, sleep structure, nocturnal hypoxemia) are specifically associated with cardiometabolic comorbidities in OSA.

methodsIn this retrospective study, 1717 patients suffering from moderate/severe OSA were included between 2013 and 2017. Data on demographics, comorbidities, and polysomnographic characteristics were collected and analyzed to identify factors associated with cardiometabolic complications.

resultsThe medical files of 1717 patients (68% male) were reviewed. The mean AHI was 43.1 +/- 27.7 with 57.3% of patients suffering from severe OSA, and 52% from at least one cardiovascular comorbidity (CVCo). Diabetes affected 22% of the patients and 27% exhibited dyslipidemia. Patients affected by CVCos were older, and more often women and non-smokers. These patients also had worse sleep quality, and a more marked intermittent/global nocturnal hypoxemia. With regard to diabetes, diabetics were older, more often non-smoker, non-drinker women, and were more obese. These patients also exhibited more severe OSA, especially in non-REM (NREM) sleep, worse sleep quality, and a more marked intermittent/global nocturnal hypoxemia. Dyslipidemia was more frequent in the absence of alcohol consumption, and was associated with OSA severity, decreased sleep quality, and longer AH in REM sleep.

conclusionsThis study identifies demographic and polysomnographic factors associated with cardiometabolic comorbidities. Patients (especially women) suffering from more severe OSA, longer sleep apneas and hypopneas, worse sleep quality, and marked intermittent/global nocturnal hypoxemia are more likely to develop cardiometabolic comorbidities. This should stimulate clinicians to obtain adequate treatment in this population.

Indexed as

Severity of Illness IndexAdultAgedCardiovascular DiseasesComorbidityFemaleHumansHypoxiaMaleMetabolic DiseasesMiddle AgedPolysomnographyProspective StudiesRetrospective StudiesSleepSleep Apnea, ObstructiveCardiovascular comorbiditiesDiabetesDyslipidemiaNocturnal hypoxemiaObstructive sleep apneaPolysomnographySleep quality

Identifiers

PMID31996224
PMCPMC6990595
OpenAlexW3006549257

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.