Evidence map›Paper›PMID 42012562›Full record

ArticleSleep & breathing = Schlaf & Atmung2026

Predicting sleep apnea worsening and cardiometabolic risk without treatment.

Peretz Lavie

Abstract read
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Peretz LavieRappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel. peretzl@technion.ac.il.ORCID http://orcid.org/0009-0006-6361-7210

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe natural history of untreated obstructive sleep apnea (OSA) and its cardiometabolic consequences are not fully characterized. We aimed to identify predictors of apnea severity progression and incident cardiometabolic comorbidities in untreated patients, comparing continuous and categorical measures of apnea severity.

methodsWe retrospectively studied 538 adults (419 men, 119 women) who underwent two attended overnight polysomnographic evaluations separated by 3.8 ± 2.7 years and declined OSA treatment. Changes in apnea severity were assessed using continuous change in apnea-hypopnea index (ΔAHI) and categorical transitions across standard severity thresholds. Multivariable linear regression was used to identify predictors of ΔAHI, and multivariable logistic regression was used to identify predictors of incident hypertension, diabetes, and cardiovascular disease.

resultsApnea severity and nocturnal hypoxemia worsened significantly over time. In linear regression, worsening ΔAHI was independently associated with higher baseline body mass index (BMI), greater weight gain, more severe baseline hypoxemia, and longer sleep latency, whereas higher baseline AHI was associated with smaller subsequent increases. In contrast, categorical progression to moderate or severe OSA was primarily predicted by baseline BMI. Incident hypertension and diabetes were independently associated with age, baseline BMI, and duration of follow-up, but not with baseline AHI or ΔAHI. Incident cardiovascular disease was independently associated with baseline apnea severity and lower sleep efficiency. Model discrimination ranged from acceptable to good (C-statistics 0.75-0.86).

conclusionIn untreated patients, OSA commonly worsens over time, with progression influenced by obesity, hypoxemia, and sleep quality. Continuous measures of apnea severity capture physiologic progression more sensitively than categorical classifications. Cardiometabolic consequences differ by outcome, with obesity predominating for hypertension and diabetes and apnea severity and sleep fragmentation more closely linked to cardiovascular disease.

Indexed as

Cardiometabolic Risk FactorsCardiovascular DiseasesSleep Apnea, ObstructiveAdultComorbidityDisease ProgressionFemaleHumansHypertensionMaleMiddle AgedPolysomnographyRetrospective StudiesRisk FactorsSeverity of Illness IndexApnea progressionCardiometabolic comorbiditiesLongitudinal studyObstructive sleep apneaSleep quality

Identifiers

PMID42012562
PMCPMC13099817

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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.