In a village of about 1000 people in Papua New Guinea the prevalence of clinical leprosy was 8.6% compared to about 3% in surrounding villages. This exceptionally high prevalence could not be explained by recent introduction of the disease or by social factors. Dapsone-resistant disease and faulty compliance with treatment are considered to be contributory to persistent infectivity of old cases which, together with the presence of 20 previously undiagnosed cases, comprised a large infective source. Social ostracism of cases was not observed and the extensive social mixing of all ages would facilitate widespread dissemination of infection. A high prevalence, particularly in children, of elevated levels of IgM antibody to phenolic glycolipid-1 Mycobacterium leprae specific antigen suggests frequent subclinical infection. The greater prevalence of clinical leprosy following childhood in the village favours altered susceptibility following exposure in childhood. There was a higher prevalence of leprosy in close relatives of cases when compared with the same relatives of age and sex matched leprosy-free controls. The occurrence of familial clustering of leprosy in a hyperendemic area with intense transmission suggests that unidentified inherited factors influence susceptibility to clinical leprosy. It is suggested that the clustering of adverse inherited traits through intermarriage may explain this hyperendemic focus on leprosy.
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http://dx.doi.org/10.1016/0035-9203(89)90735-9 | DOI Listing |
Circ Genom Precis Med
January 2025
Mary and Steve Wen Cardiovascular Division, Department of Medicine, University of California, Los Angeles. (W.F., N.D.W.).
Background: Lp(a; Lipoprotein[a]) is a predictor of atherosclerotic cardiovascular disease (ASCVD); however, there are few algorithms incorporating Lp(a), especially from real-world settings. We developed an electronic health record (EHR)-based risk prediction algorithm including Lp(a).
Methods: Utilizing a large EHR database, we categorized Lp(a) cut points at 25, 50, and 75 mg/dL and constructed 10-year ASCVD risk prediction models incorporating Lp(a), with external validation in a pooled cohort of 4 US prospective studies.
Stroke
January 2025
Department of Neurology, University of Pennsylvania, PA. (L.I., S.E.Z., S.E.K., B.L.C.).
Background: A modified computed tomography angiography (CTA)-based Carotid Plaque Reporting and Data System (Plaque-RADS) classification was applied to a cohort of patients with embolic stroke of undetermined source to test whether high-risk Plaque-RADS subtypes are more prevalent on the ipsilateral side of stroke. With the widespread use of CTA for stroke evaluation, a CTA-based Plaque-RADS would be valuable for generalizability.
Methods: A retrospective observational cross-sectional study was conducted at a single integrated health system comprised of 3 hospitals with a comprehensive stroke center between October 1, 2015, and April 1, 2017.
Distal tibial fractures are common lower-limb injuries and are generally associated with a high risk of postoperative complications, especially in patients with multiple medical comorbidities. This study sought to ascertain the efficacy of retrograde intramedullary tibial nails (RTN) for treating extra-articular distal tibial fractures in high-risk patients. Between January 2019 and December 2021, 13 patients considered at high risk for postoperative complications underwent RTN fixation.
View Article and Find Full Text PDFInt Health
January 2025
Department of Public Health, Torbat Jam Faculty of Medical Sciences, Torbat Jam, Iran.
Background: Aflatoxin M1 (AFM1) is a derivative of aflatoxin B1 and a significant contaminant of milk and dairy products. In this study, we implemented an umbrella review of all existing systematic reviews and meta-analyzing studies to apprise and summarize the worldwide prevalence and level of AFM1 in milk and dairy products.
Methods: We conducted a systematic review of structured review and meta-analysis articles published in English until January 2024, with no time limit.
Front Psychol
January 2025
Department of Behavioral Sciences, University of Medicine and Pharmacy of Craiova, Craiova, Romania.
Objectives: The main objectives were to investigate the prevalence of ED and associated risk factors among medical students in Romania, as well as to determine which variables may predict ED and to explore the differences between medical students and the general population.
Methods: The Eating Disorders Inventory questionnaire (EDI-3) was applied. Also, the body mass index of the students was calculated, socio-demographic information regarding personal and family medical history was collected (mental and chronic diseases, self-reported sleep difficulties in the past 6 months, family history of obesity) and potentially risky events (history of ridicule, major negative events, social pressure to be thin from family, friends, media).
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