Objective: Our aim was to evaluate familial aggregation of migraine in a large group of Portuguese families, and to assess if familial aggregation differs between MA and MO.
Methods: Familial aggregation was evaluated by estimating relative risk (RR) of migraine in 143 first-degree relatives of 50 probands with MA, in 196 first-degree relatives of 94 probands with MO and also in proband's spouses. Probands were enrolled in the study from a clinical sample and a population sample was used as reference.
Results: A significantly increased risk of migraine was found in both first-degree relatives of MO probands (RR = 3.7; 95% CI: 3.2-4.3) and of MA probands (RR = 3.6; 95% CI: 3.1-4.3), comparatively to the general population. Risk for spouses was not increased. First-degree relatives of MA probands and MO probands had a significantly increased risk of both MA and MO compared to the general population. In the group of MA probands, RR of MA in first-degree relatives reached a significant 4-fold increase when compared with RR of MO (RR(MA|MA) = 12.2, 95%CI: 7.7-19.5; RR(MO|MA) = 3.1, 95%CI: 2.5-3.8), while, in the group of MO probands, RR of MA was not significantly increased when compared with RR of MO (RR(MA|MO) = 5.3, 95%CI: 3.1-9.2; RR(MO|MO) = 4.0, 95%CI: 3.5-4.7).
Conclusions: The present study focus on familial aggregation of migraine in a Portuguese population. Our results demonstrate a substantial familial risk of migraine with evidence of both common and specific etiologic mechanisms for either migraine subtypes.
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http://dx.doi.org/10.1111/j.1526-4610.2008.01177.x | DOI Listing |
Gastroenterology
December 2024
Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Palo Alto, California.
Description: Gastric cancer (GC) is a leading cause of preventable cancer and mortality in certain US populations. The most impactful way to reduce GC mortality is via primary prevention, namely Helicobacter pylori eradication, and secondary prevention, namely endoscopic screening and surveillance of precancerous conditions, such as gastric intestinal metaplasia (GIM). An emerging body of evidence supports the possible impact of these strategies on GC incidence and mortality in identifiable high-risk populations in the United States.
View Article and Find Full Text PDFEur J Prev Cardiol
December 2024
Cardiovascular and Genomics Institute, City St George's University of London, Cranmer Terrace, London SW17 0RE, UK.
Aims: Sudden arrhythmic death syndrome (SADS) refers to a sudden death, which remains unexplained despite comprehensive post-mortem examination and a toxicological screen. We aimed to investigate the impact of age and sex on the overall diagnostic yield and underlying aetiology in decedents with SADS using a combined approach of familial evaluation (FE) and molecular autopsy (MA).
Methods And Results: Consecutive referrals to a single centre for FE only, MA only or both, following a SADS death were included.
Psychol Res
December 2024
Department of Psychology, University of Almería, Almería, Spain.
Previous research highlights impairments in the recognition of facial expression of emotion in individuals diagnosed with Autism Spectrum Disorder (ASD). Relatives of people with ASD may exhibit similar, albeit subtler, impairments, referred to as the Broad Autism Phenotype (BAP). Recently, the Differential outcomes procedure (DOP) has been shown to enhance this ability in young adults using dynamic stimuli, with fewer intensity levels required to identify fear and surprise.
View Article and Find Full Text PDFJ Pediatr Endocrinol Metab
December 2024
Pediatric Endocrinology Clinic, Bilkent City Hospital, Ankara, Türkiye.
Objectives: Hypothalamic hamartoma (HH) is a rare condition that causes epilepsy and central precocious puberty (CPP) at an early age. In this report, we describe a child with CPP secondary to HH and discuss the current literature.
Case Presentation: A 26-month-old girl was brought to our hospital for evaluation of breast enlargement.
BMC Public Health
December 2024
Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, Goyang-si, Gyeonggi-do, Korea.
Background: Given the rapid increase in the prevalence of prostate cancer (PCa), identifying its risk factors and developing suitable risk prediction models has important implications for public health. We used machine learning (ML) approach to screen participants with high risk of PCa and, specifically, investigated whether participants with metabolic syndrome (MetS) exhibited an elevated PCa risk.
Methods: A prospective cohort study was performed with 41,837 participants in South Korea.
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