Background: Miscarriage is defined as an adverse and unexpected termination of pregnancy; it is the most frequent pregnancy complication. Here, we aimed to identify the factors predisposing to miscarriage in pregnant women in Eastern Algeria and the effect of the combination of several factors, including maternal Body Mass Index (BMI), maternal age, concomitant pathologies, and nutrients, and to predict the occurrence of miscarriage.
Methods: A total of 786 pregnant women from Eastern Algeria were interviewed between 2011 and 2015. Association between miscarriage exposure and identified risk factors was assessed using a Generalized Linear Model (GLM), ANOVA test, Multiple Correspondence Analysis (MCA), and Hierarchical Clustering Analysis (HCA). Throughout this study, we sought to find answers, discuss this association, and predict the occurrence of miscarriage.
Results: We developed a predictive model for miscarriage, and we found that miscarriage was significantly higher for pregnant women aged over 35 years (1.75; 95% CI: 0.75-4.37; = 0.208), with a high BMI (> 25 kg/m), (1.88; 95% CI:1.28-2.78; = 0.001). We have highlighted that miscarriage is strongly associated with hypertension (1.67; 95% CI: 1.16-2.39; = 0.006), diet rich in meat (0.60; 95% CI: 0.33-1.04; = 0.075), and moderate in fish (2.32; 95% CI: 1.18-4.58; = 0.015).
Conclusion: Our study proved that knowing these risk factors helps to establish predictive models and strategies to prevent tragic pregnancy outcomes and highlights the link between miscarriage and several risk factors; and thus, will allow protecting mother and fetus health.
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http://dx.doi.org/10.1007/s13224-021-01564-0 | DOI Listing |
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Columbia University Irving Medical Center, New York, NY, USA.
Background: Genetic studies indicate a causal role for microglia, the innate immune cells of the central nervous system (CNS), in Alzheimer's disease (AD). Despite the progress made in identifying genetic risk factors, such as CD33, and underlying molecular changes, there are currently limited treatment options for AD. Based on the immune-inhibitory function of CD33, we hypothesize that inhibition of CD33 activation may reverse microglial suppression and restore their ability to resolve inflammatory processes and mitigate pathogenic amyloid plaques, which may be neuroprotective.
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December 2024
Xuanwu Hospital of Capital Medical University, Beijing, Beijing, China.
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Alzheimers Dement
December 2024
Division of Neurodegenerative Disorders, St. Boniface Hospital Albrechtsen Research Centre, Winnipeg, MB, Canada.
Background: Alzheimer's disease (AD) is a neurodegenerative disorder primarily associated with aging, but manifests as a complex interplay of multiple factors. Decline in sex-hormones, particularly 17-beta estradiol, is linked to the aging process. The risk for onset of AD significantly increases with aging and loss of estradiol.
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Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disease and the most common form of dementia. Although AD is characterized by the accumulation of amyloid beta (Aβ) plaques and neurofibrillary tangles (NFTs), it's estimated that nearly half of AD cases might be attributed to modifiable risk factors and lifestyle-based interventions may offer promising preventative strategies to delay disease onset and progression. Polyphenolic derivatives easily found in foods like luteolin and curcumin have shown beneficial effects to counteract cognitive decline.
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December 2024
National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Background: The effectiveness of multimodal lifestyle interventions to prevent dementia is being validated. Since a relatively long period (∼2 years) is required for manifesting an impact on cognitive function, the exploration of an alternative marker that exhibits changes within a comparatively brief duration, thereby prognosticating future alterations in cognitive function, is needed. The decline in gait function is associated with cognitive impairment and is also a predictor of future cognitive decline.
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