Background: The correlation between certain systemic diseases and ABO blood group is a well-documented fact. The association between periodontal disease and ABO blood group is not studied in relation to a specific geographic location. Here is a study conducted on a group of patients belonging to South Kanara district of Karnataka state.
Materials And Methods: A total of 750 subjects aged between 30and 38 years belonging to South Kanara district were selected on random basis. The study subjects were segregated into healthy/mild gingivitis, moderate/severe gingivitis, and periodontitis group, based on Loe and Silness index and clinical attachment loss as criteria. The study group was further categorized and graded using Ramfjord's periodontal disease index. Blood samples were collected to identify ABO blood group.
Results: Prevalence of blood group O was more in South Kanara district, followed by blood groups B and A, and the least prevalent was AB. The percentage distribution of subjects with blood groups O and AB was more in healthy/mild gingivitis group (group I) and moderate/severe gingivitis group (group II), while subjects with blood groups B and A were more in periodontitis group III. There was increased prevalence of subjects with blood groups O and AB with healthy periodontium, while subjects with blood groups B and A showed inclination toward diseased periodontium.
Conclusion: There is a correlation existing between periodontal disease and ABO blood group in this geographic location. This association can be due to various blood group antigens acting as receptors for infectious agents associated with periodontal disease. This broad correlation between periodontal disease and ABO blood group also points toward susceptibility ofthe subjects with certain blood groups to periodontal disease.
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http://dx.doi.org/10.4103/0972-124X.106892 | DOI Listing |
Aliment Pharmacol Ther
January 2025
Gastrointestinal and Liver Theme, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre (BRC), Nottingham University Hospitals NHS Trust and the University of Nottingham, School of Medicine, Queen's Medical Centre, Nottingham, UK.
Background: Colorectal cancer (CRC) is the third most common cancer in the United Kingdom and the second largest cause of cancer death.
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Methods: We included all adults (≥ 18 years) referred to Nottingham University Hospitals NHS Trust between 2018 and 2022 with symptoms of suspected CRC who had a FIT.
Genet Epidemiol
January 2025
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.
Large-scale gene-environment interaction (GxE) discovery efforts often involve analytical compromises for the sake of data harmonization and statistical power. Refinement of exposures, covariates, outcomes, and population subsets may be helpful to establish often-elusive replication and evaluate potential clinical utility. Here, we used additional datasets, an expanded set of statistical models, and interrogation of lipoprotein metabolism via nuclear magnetic resonance (NMR)-based lipoprotein subfractions to refine a previously discovered GxE modifying the relationship between physical activity (PA) and HDL-cholesterol (HDL-C).
View Article and Find Full Text PDFEClinicalMedicine
October 2024
Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Unity Health Toronto, Toronto, ON M5B 1W8, Canada.
Background: Use of health applications (apps) to support healthy lifestyles has intensified. Different app features may support effectiveness, including gamification defined as the use of game elements in a non-game situation. Whether health apps with gamification can impact behaviour change and cardiometabolic risk factors remains unknown.
View Article and Find Full Text PDFFront Med (Lausanne)
December 2024
Department of Medical Ultrasound, Jinshan Hospital of Fudan University, Shanghai, China.
Purpose: Acute fatty liver of pregnancy (AFLP) is a severe complication that can occur in the third trimester or immediately postpartum, characterized by rapid hepatic failure. This study aims to explore the changes in portal vein blood flow velocity and liver function during pregnancy, which may assist in the early diagnosis and management of AFLP.
Methods: This longitudinal study was conducted at a tertiary healthcare center with participants recruited from routine antenatal check-ups.
World J Clin Cases
January 2025
Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.
Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .
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