ArticleJournal of sleep research2025
Weather-Associated Variations of Device-Detected Severe Sleep Apnea in Cardiac Pacemaker Patients.
Article in Journal of sleep research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Night-To-Night Variability in Sleep Apnea Is Associated With Persistence and Burden of Device-Detected Atrial Fibrillation.Journal of sleep research · 2026Article
- Sleep Apnoea Variability in Pacemaker Patients: A Women-Predominant Phenotype.European journal of clinical investigation · 2026Article
- Weather-Associated Variations of Device-Detected Severe Sleep Apnea in Cardiac Pacemaker Patients.Journal of sleep research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Using continuous thoracic impedance measurements, sleep apnea can be long-time monitored via an electronic device sensor. In the ACaSA trial, 233 patients implanted with a cardiac pacemaker (MicroPort CRM, Clamart, France) were prospectively observed between March 2022 and July 2024. For each night of follow-up, the burden of device-detected sleep apnea (DDSA) was measured via transthoracic impedance, defined by a respiratory disturbance index (RDI) ≥ 20 events per sleeping hour. Local meteorological data including maximum ambient diurnal temperature, humidity, precipitation and air pressure change were extracted from the national weather system and linked to the individual patient's place of residence. The association between these weather conditions and RDI in the following night was estimated using a generalised linear mixed effects model. Overall, 74,031 patient-nights of 210 individuals (median age 75.7 years [IQR 69.9-81.3], 77 [36.7%] female) with a median follow up of 593 nights (IQR 348-755) were analysed. In a multivariate regression analysis, ambient maximum diurnal temperature was independently associated with presence of DDSA. Following days with a maximum of 30°C, the odds of experiencing severe DDSA increased by 1.34 (95% CI: 1.17-1.54, p < 0.001) compared to days with only 10°C. Higher relative humidity increased the odds for suffering from severe DDSA as well (OR 1.19 [1.07-1.33] in 90% relative humidity vs. 65% humidity; p = 0.007). These associations of ambient maximum diurnal temperature and relative humidity with severe DDSA the following night need further investigations, in particular in view of upcoming global climate changes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.