This retrospective study aims at helping physicians select babies considered at risk for fatal events during sleep. It does so by describing the clinical features and outcome of worrying infants' behaviour during sleep, with the activation of an emergency medical service and/or emergency department, subsequently referred to the Centre for Paediatric Sleep Medicine and sudden infant death syndrome, Regina Margherita Children's Hospital, Turin, Italy. We analysed the medical records of infants < 12 months whose parents reported they had worrying behaviour during sleep in the period 1 January 2009- 31 December 2015. Regional guidelines suggest performing anamnesis and capillary blood gas analysis in case of apparent life-threatening events. There were 33 males, average age 55 ± 54.37 days. On arrival at the emergency medical service/emergency department 97 % infants were asymptomatic; 61 % patients had a capillary blood gas analysis as suggested by the regional guidelines. A clear acid-base disorder was observed in two infants, asymptomatic at medical evaluation, that had assumed an unsafe sleeping position. Two patients presented recurrence of the episode at 3 months.Conclusions: Most worrying infant behaviour during sleep can be related to paraphysiological phenomena; capillary blood gas analysis and anamnesis are pivotal to identify the cases at risk of fatal events.What is Known:• Events that happen during sleep often frighten the parents of newborns. This fear may be induced by the fact that Sudden Infant Death Syndrome typically occurs during sleep.• This tragic event is unpredictable by any clinical features or findings in instrumental examinations and cannot be prevented with an early resuscitation.What is New:• In our retrospective study, most worrying infant behaviour during sleep can be related to paraphysiological phenomena.• Capillary blood gas analysis and anamnesis collection were crucial to identify the only two life-threatening events.
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http://dx.doi.org/10.1007/s00431-019-03460-2 | DOI Listing |
Alzheimers Dement
December 2024
Department of Psychiatry, University of Cambridge, Cambridge, UK.
Background: Poor sleep is emerging as an important and modifiable risk factor in the development of dementia. The hypothalamus is the only neuroanatomical site of orexin-producing neurones in the brain and modulates sleep and wakefulness behaviour. Due its small size and lack of defined contrast in conventional neuroimaging acquisitions, relatively little evidence exists as to the role of the hypothalamus in humans in neurodegeneration and sleep quality, and whether it may have mechanistic importance and biomarker candidacy.
View Article and Find Full Text PDFBackground: Microstructure impairments of the limbic tracts are seen in early stages of the Alzheimer's disease (AD) continuum. Sleep disruptions differ between sexes and have been linked with AD. We examined sex differences between measures of limbic white matter tracts and objective sleep parameters in cognitively unimpaired older adults.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
NYU Grossman School of Medicine, New York, NY, USA.
Background: We examined racial differences between measures of limbic white matter tracts and objective sleep parameters in cognitively unimpaired older-adults.
Method: This cross-sectional study included 170 community-dwelling cognitively unimpaired older-adults (mean±SD: age = 67.2±5.
Alzheimers Dement
December 2024
Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Background: Poor sleep is emerging as an important and modifiable risk factor in the development of dementia. The hypothalamus is the only neuroanatomical site of orexin-producing neurones in the brain and modulates sleep and wakefulness behaviour. Due its small size and lack of defined contrast in conventional neuroimaging acquisitions, relatively little evidence exists as to the role of the hypothalamus in humans in neurodegeneration and sleep quality, and whether it may have mechanistic importance and biomarker candidacy.
View Article and Find Full Text PDFJ Clin Neurol
January 2025
Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea.
Background And Purpose: Obstructive sleep apnea (OSA) is associated with an increased risk of adverse outcomes, including mortality. Machine-learning algorithms have shown potential in predicting clinical outcomes in patients with OSA. This study aimed to develop and evaluate a machine-learning algorithm for predicting 10- and 15-year all-cause mortality in patients with OSA.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!