Periodontal Disease Is Associated With Increased Risk of Hypertension: A Cross-Sectional Study
Conclusion: Periodontal disease is significantly and positively correlated with increased risk of hypertension in Chinese population, and exact mechanisms of this association should be explored in future. Introduction Periodontal disease is a complex polymicrobial inflammation, including gingivitis and periodontitis. According to the 2015 Global Burden of Disease (GBD) study, the prevalence of severe chronic periodontitis in 2015 has reached 616 million (Kassebaum et al., 2017). In China, the periodontal disease standardized DALYs rate has risen from 24.7 in 1990 to 25.7 in 2013 according to the data from 2013 GBD study (Zhang et al., 2017). Periodontal disease is considered as a potential risk factor for various systematic diseases, and previously published systematic reviews and meta-analyses have indicated that this disease could increase the risk of atherosclerotic complications, such as cardiovascular disease (Mustapha et al., 2007; Zeng et al., 2017), arterial stiffness (Schmitt et al., 2015), carotid intima-media thickness (Orlandi et al., 2014), carotid atherosclerosis (Zeng et al., 2016a), stroke (Lafon et al., 2014), coronary heart disease (Leng et al., 2015), erectile dysfunction (Cheraghi and Doosti-Irani, 2017), and hypertension (Martin-Cabezas et al., 2016). Hypertension is a well-known risk factor for atherosclerotic vascular diseases, with prevalence among adults of 34% in the United States (Roger et al., 2012) and 30–45% in European countries (M...
Authors: Mendenhall E, Musau A, Bosire E, Mutiso V, Ndetei D, Rock M Abstract Type 2 diabetes mellitus is a condition that both results from and produces social and psychological suffering. As 'diabetes' increases among low income patients in poorer nations, new challenges arise that drive, co-occur, and result from the condition. In this article, we describe how social suffering produces diabetes by way of addressing the varied social, psychological, and biological factors that drive diabetes and are reflected in diabetes experiences among patients seeking care at a public hospital in Nairobi, Kenya. We recruited ...
Conclusions: The bibliometric analysis allowed to objectively record the productivity and visibility of the Regional System for Vaccines for Streptococcus pneumoniae in the Region. PMID: 32774349 [PubMed]
Authors: Marín-Sánchez A Abstract The basic clinical characteristics of the first 100 fatal cases from COVID-19 in Colombia were analyzed based on reports from the National Institute of Health (INS) since the beginning of the pandemic. Since the INS records do not include clinical variables of comorbidity in the total number of cases reported as positive, but only in patients with fatal outcome, comorbidities, age and sex available in the daily INS reports were reviewed. Their frequency was identified and mortality risk behavior for the analyzed variables was established and compared with the behavior...
Authors: Sola A, Rodríguez S, Cardetti M, Dávila C Abstract Objective: To evaluate and report the clinical characteristics and outcomes of SARS-CoV-2 infection in pregnant women and newborns in Latin America. Methods: Descriptive study based on the prospective report of the units of the Ibero-American Society of Neonatology Network. Results: Of 86 pregnant women with COVID-19 confirmed by RT-PCR in seven countries (6 from Latin America, and Equatorial Guinea) 68% (59) were asymptomatic. Of 32% of symptomatic women, 89% (24) had mild symptoms and 3.5% (3) had severe respiratory symptoms. No wom...
Publication date: Available online 11 August 2020Source: Journal of Oral BiosciencesAuthor(s): Sho Akashi, Takashi Nishida, Tomomi Mizukawa, Kazumi Kawata, Masaharu Takigawa, Seiji Iida, Satoshi Kubota
Publication date: 1 December 2020Source: Carbohydrate Polymers, Volume 249Author(s): Shijie Dai, Shaozhong Liu, Chen Li, Zhifang Zhou, Zhimeng Wu
Publication date: 1 December 2020Source: Carbohydrate Polymers, Volume 249Author(s): Shuxian Hu, Rei Kuwabara, Martin Beukema, Michela Ferrari, Bart J. de Haan, Marthe T.C. Walvoort, Paul de Vos, Alexandra M. Smink
Publication date: Available online 11 August 2020Source: Carbohydrate PolymersAuthor(s): Sevil Vaghefi Moghaddam, Fatemeh Abedi, Effat Alizadeh, Behzad Baradaran, Nasim Annabi, Abolfazl Akbarzadeh, Soodabeh Davaran
Publication date: Available online 11 August 2020Source: Carbohydrate PolymersAuthor(s): Jingwen Luo, Tao Gong, Lixin Ma
Publication date: September 2020Source: Biomedical Signal Processing and Control, Volume 62Author(s): Gayathri S., Varun P. Gopi, P. Palanisamy
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