Evidence map›Paper›PMID 41575173›Full record

ArticleSleep2026

Association of major adverse cardiovascular events with the apnea-hypopnea index, desaturation severity parameters, and cardiac troponins in participants of the Akershus Sleep APnea cohort.

Xin Feng, Fjola Sigurdardottir, Erna Sif Arnardottir, Toril Dammen, Gunnar Einvik, Henri Korkalainen, Ole Klungsøyr, Timo Leppänen, Inger Hilde Nordhus, Sami Nikkonen and 5 more

Abstract read
In one paragraph

Article in Sleep, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

15 authors.

Xin FengDepartment of Research and Innovation, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.ORCID 0000-0003-3514-1172
Fjola SigurdardottirK.G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Erna Sif ArnardottirDepartment of Engineering and Department of Computer Science, Reykjavik University, Reykjavik, Iceland.
Toril DammenDepartment of Research and Innovation, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.ORCID 0000-0001-9383-2161
Gunnar EinvikPulmonary Department, Division of Medicine, Akershus University Hospital, Lørenskog, Norway.ORCID 0000-0002-2235-6310
Henri KorkalainenDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0002-4686-6112
Ole KlungsøyrDepartment of Research and Innovation, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Timo LeppänenDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0003-4017-821X
Inger Hilde NordhusDepartment of Clinical and Biological Psychology, Faculty of Psychology, University of Bergen, Bergen, Norway.
Sami NikkonenDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.
Juha TöyräsDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0002-8035-1606
Thea ThorshovDepartment of Otorhinolaryngology, Division of Surgery, Akershus University Hospital, Lørenskog, Norway.
Tonje Caroline ØverbyDepartment of Otorhinolaryngology, Division of Surgery, Akershus University Hospital, Lørenskog, Norway.
Torbjørn OmlandK.G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-6452-0369
Harald Hrubos-StrømDepartment of Otorhinolaryngology, Division of Surgery, Akershus University Hospital, Lørenskog, Norway.ORCID 0000-0003-0065-0145

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesTo examine the prognostic value of the apnea-hypopnea index (AHI), desaturation severity parameters, and cardiac troponins alone and combined for major cardiovascular events (MACEs).

methodsMACE data were retrieved in 2021 from the Norwegian Patient Registry for 518 participants in the Akershus Sleep APnea (ASAP) cohort. Baseline polysomnography and fasting blood samples were collected between June 2006 and January 2008. Desaturation duration (DesDur) and severity (DesSev) were calculated using Automatic Blood Oxygen Saturation Analysis software. Cox regression models estimated hazard ratios (HRs) for MACE. Predictive properties of combining troponins and obstructive sleep apnea severity were calculated by comparing established clinical thresholds for cardiac troponin I (cTnI) and T (cTnT) with AHI clinical thresholds of ≥15 and ≥30, respectively.

resultsHigh AHI, DesDur, DesSev, cTnI, and cTnT were associated with increased MACE risk. However, only cTnI independently predicted MACE after adjustment (HR: 1.74, 95% CI: 1.32-2.29). The HR for MACE was 2.68 (95% CI: 1.03-6.97) in patients with both high cTnI and AHI ≥30 events/h.

conclusionIn this 15-year follow-up, cTnI was independently associated with risk of MACE, whereas the AHI, desaturation parameters, and cTnT were not independent predictors. cTnI, especially when combined with AHI, was a stronger MACE predictor than cTnT. Provided our findings are validated in clinical obstructive sleep apnea populations, the measurement of cTnI may be considered for cardiovascular risk stratification.

Indexed as

Cardiovascular DiseasesOxygen SaturationSleep Apnea, ObstructiveSleep Apnea SyndromesTroponin ITroponin TAgedCohort StudiesFemaleHumansMaleMiddle AgedNorwayPolysomnographyPrognosisSeverity of Illness IndexTroponin ITroponin Tcardiovascular diseaseobstructive sleep apneaoxygen desaturation parameterspolysomnographytroponin

Identifiers

PMID41575173
PMCPMC13472890

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.