5 research outputs found

    A 2-es típusú diabetes mellitus prevalenciájának változása szájüregi carcinomás betegek körében

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    INTRODUCTION: Data proves that Hungary has a leading role in the statistics of oral cancer and patients living with type 2 diabetes. AIM: Our aim was to understand the statistical correlation between oral cancer and metabolic disorder (diabetes mellitus and impaired fasting glucose) due to the valuable data from the Semmelweis University. METHOD: We analyzed the data of 835 patients diagnosed with malignant oral cancer and 587 tumor-free control patients. We investigated the incidence and location of oral cancer among patients living with diabetes, and compared these datasets with our previous data from 14 years earlier. RESULTS: We found that in oral cancer patients, 26.1% had diabetes and 20.8% had impaired fasting glucose; in the control group these ratios were 10.8% and 11.1%. This difference is significant (p<0.05). 14 years ago in the tumor group 14.6%, in the control group 5.6% had diabetes, while 9.7% and 5.5% had impaired fasting glucose. Lip cancer had the biggest incidence. CONCLUSIONS: The rise of type 2 diabetes in the tumor group was significant. This could be a burden for the health care system. We want to highlight the importance of interdisciplinary cooperation between health care professionals. Orv Hetil. 2018; 159(20): 803-807

    Oral Health Status of Children Living with Type 1 Diabetes Mellitus

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    Background: Diabetes is a well-known predisposing factor for oral diseases, so prevention in an early age is mandatory. Objective: To provide oral screening for children living with type 1 diabetes. We aimed to investigate the oral and general health indexes of T1DM children and compare these data to healthy siblings and controls. Methods: In this cross-sectional study, 120 DM patients and 78 siblings, thereafter 80 DM children and 95 controls, took part. A detailed questionnaire, panoramic radiographs, and lateral cephalograms were obtained in every orthodontic consultation. We used Pearson&rsquo;s chi-square test for statistical analysis and compared the data of the study and control groups. Results: The oral health values of DM children were significantly better (DMF-T 0.83&ndash;1.3) than the national average (3.8&ndash;4.5). A total of 75% (n = 60) of the children needed orthodontic treatment for orthodontic or skeletal anomalies. The prevalence of skeletal anomalies was significantly (p &lt; 0.05) higher among patients with diabetes mellitus (DM) than in the control group. The frequency of coeliac disease was significantly elevated compared to any literature data (1&ndash;3.5%) in the study (15%) and in the control sibling group (13%). Conclusions: Co-morbidities such as CD should get more attention as a prognostic factor for a future higher incidence of diabetes. T1DM children can be motivated and health-conscious patients with excellent oral hygiene and dental status. Orthodontic treatment can help eliminate the oral complications of DM. Special diabetes ambulances may help provide oral care for patients with DM

    Decreasing and stabilising trends of antimicrobial consumption and resistance in and in segmented regression analysis, European Union/European Economic Area, 2001 to 2018.

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    To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked DownloadInvestments to reduce the spread of antimicrobial resistance (AMR) in the European Union have been made, including efforts to strengthen prudent antimicrobial use. Using segmented regression, we report decreasing and stabilising trends in data reported to the European Surveillance of Antimicrobial Consumption Network and stabilising trends in data reported to the European Antimicrobial Resistance Surveillance Network. Our results could be an early indication of the effect of prioritising AMR on the public health agenda.El Plan Nacional de Investigacion Cientifica, Desarrollo e Innovacion Tecnologica 2013-2016 Instituto de Salud Carlos III, Subdireccion General de Redes y Centros de Investigacion Cooperativa, Ministerio de Economia, Industria y Competitividad, Spanish Network for Research in Infectious Diseases European Development Regional Fund "A way to achieve Europe", Operative program Intelligent Growth 2014-2020 Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC
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