Background: Sleep disorders are prevalent during pregnancy and are associated with unfavorable outcomes. The meta-analysis evaluated the association between sleep disturbances and preeclampsia.
Methods: We systematically searched in English and Persian databases, including Web of Science, Scopus, PubMed, ProQuest, Google Scholar, SID, IRANDOC, and MagIran, for studies published up to September 12, 2024. Eligibility was restricted to observational studies including cohort, case-control, and cross-sectional designs on expectant mothers diagnosed with preeclampsia and sleep disorders. The population studied comprised pregnant mothers with preeclampsia and diagnosed sleep disorders, diagnosed using polysomnography. The common sleep disorders investigated included insomnia, poor sleep quality, breathing problems, sleep apnea, and restless legs syndrome. Two authors independently reviewed and assessed the quality of the studies using the Newcastle-Ottawa Scale. Heterogeneity was evaluated using the I statistic. Data were analyzed using RevMan 5, presenting results as random effects odds ratios (ORs) and standardized mean differences (SMDs), each with 95% confidence intervals (CIs).
Results: A total of 25 articles involving 3,992 participants were included in this analysis. Subgroup analysis showed that sleep disturbances significantly increased preeclampsia risk in pregnant women (Qualitative Sleep Disorder Indices OR = 6.79, 95% CI: 3.54-13.71; Quantitative Sleep Disorder Indices SMD = 3.91, 95% CI: 2.11-5.70, < 0.001). Although high heterogeneity was observed among studies on sleep disorders (I = 82%, 96%), heterogeneity was low within studies focusing on sleep duration and quality (I = 0%). The meta-analysis found significantly higher systolic (29.42 mmHg) and diastolic (16.67 mmHg) blood pressure, as well as increased BMI and maternal age, in the preeclampsia group compared to controls ( < 0.01).
Conclusion: Sleep disorders, including sleep-disordered breathing, obstructive sleep apnea, insomnia, and poor sleep quality, significantly increase the risk of developing preeclampsia. Prioritizing the diagnosis and treatment of these sleep disorders is crucial for improving pregnancy outcomes.
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http://dx.doi.org/10.1080/14767058.2024.2419383 | DOI Listing |
JMIR Form Res
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Abrazo Family Medicine Residency, Phoenix, Arizona.
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January 2025
Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Emotion processing is an integral part of everyone's life. The basic neural circuits involved in emotion perception are becoming clear, though the emotion's cognitive processing remains under investigation. Utilizing the stereo-electroencephalograph with high temporal-spatial resolution, this study aims to decipher the neural pathway responsible for discriminating low-arousal and high-arousal emotions.
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Eisai Inc, Nutley, New Jersey.
Insomnia and some insomnia treatments can impact an individual's daytime functioning. Here, we performed post hoc analyses of patient-reported outcomes from a phase 3 clinical trial to assess the impact of lemborexant (LEM), a dual orexin receptor antagonist, on daytime functioning. Adults with insomnia were randomized 1:1:1 to receive placebo, LEM 5 mg (LEM5) or LEM 10 mg (LEM10) for 6 months.
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December 2024
Geriatric and Memory Center, Broadlawns Medical Center, Des Moines, USA.
The novel amyloid-beta, p-Tau, and neurofilament light chain (ATN) classification scheme has become a promising system for clinically detecting and diagnosing Alzheimer's disease (AD). In addition to its utility in Alzheimer's diagnosis and treatment, the ATN framework may also have clinical relevance in identifying non-Alzheimer's pathologies. In this study conducted at Broadlawns Geriatric and Memory Center, 92 amyloid-negative profiles out of 182 patients with an ATN framework were categorized into subjective cognitive impairment (SCI), non-amnestic mild cognitive impairment (non-amnestic MCI), amnestic MCI, Alzheimer's dementia, vascular dementia, mixed dementia, unspecified dementia, or other memory changes based on diagnoses written in the chart.
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