scholarly journals Periodontal Disease Is an Independent Predictor of Intracardiac Calcification

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Gregg S. Pressman ◽  
Atif Qasim ◽  
Nitin Verma ◽  
Masami Miyamae ◽  
Kumiko Arishiro ◽  
...  
Keyword(s):  
Risk Factors ◽  
Periodontal Disease ◽  
Subclinical Atherosclerosis ◽  
Scoring Systems ◽  
Cross Sectional Study ◽  
Inflammatory Condition ◽  
Cross Sectional ◽  
Calcification Score ◽  
Chronic Inflammatory Condition ◽  
Traditional Risk Factors

Background. Periodontitis is the most common chronic inflammatory condition worldwide and is associated with incident coronary disease.Hypothesis. We hypothesized that periodontal disease would also be associated with cardiac calcification, a condition which shares many risk factors with atherosclerosis and is considered a marker of subclinical atherosclerosis.Methods. Cross-sectional study at two sites (USA and Japan) involving subjects with both clinical echocardiograms and detailed dental examinations. Semiquantitative scoring systems were used to assess severity of periodontal disease and echocardiographic calcification.Results. Fifty-six of 73 subjects (77%) had cardiac calcifications, and 51% had moderate to severe periodontal disease (score > 2). In unadjusted analysis, a significant relationship between periodontal score and cardiac calcification (Spearman rho = 0.4,P=0.001) was noted, with increases in mean calcification score seen across increasing levels of periodontal disease. On multivariate logistic regression, adjusted for age, gender, race, glomerular filtration rate, and traditional risk factors, this association remained significant (P=0.024). There was no significant interaction by study site, race, or gender.Conclusions. In a multiracial population, we found a significant association between the degree of periodontal disease, a chronic inflammatory condition, and cardiac calcification. Further, higher periodontal scores were associated with greater degrees of calcification.

scholarly journals Relationship between periodontal disease and cardiovascular risk factors among young and middle-aged Brazilians. Cross-sectional study

2017 ◽  
Vol 135 (3) ◽  
pp. 226-233 ◽  
Author(s):  
Alessandra Carvalho Goulart ◽  
Favius Armani ◽  
Astrid Marie Arap ◽  
Thais Nejm ◽  
Juliana Barros Andrade ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Promotion ◽  
Cardiovascular Risk ◽  
Periodontal Disease ◽  
Cardiovascular Risk Factors ◽  
Cross Sectional Study ◽  
Sao Paulo ◽  
Sectional Study ◽  
Middle Aged ◽  
Cross Sectional

ABSTRACT CONTEXT AND OBJECTIVE: It has been suggested in the literature that periodontal disease (PD) is associated with cardiovascular risk. The objective of this study was to appraise the relationship between periodontal disease (gingivitis and periodontitis) and traditional cardiovascular risk factors (obesity, hypertension, dyslipidemia, diabetes and metabolic syndrome) among young and middle-aged adults attended at a health promotion and check-up center in the city of São Paulo, Brazil. DESIGN AND SETTING: Cross-sectional study at the Health Promotion and Check-up Center of Hospital Sírio-Libanês, São Paulo, Brazil. METHODS: We consecutively evaluated 539 subjects without prior cardiovascular disease who were seen within a health promotion program that included cardiovascular and dental evaluation between February and November 2012. Odds ratios (OR) with respective 95% confidence intervals (95% CI) for the association between PD and cardiovascular risk factors were ascertained through multinomial logistic regression. RESULTS: In this sample of mean age 45 years (standard deviation, SD ± 8.8), which was 82% male, we found PD in 63.2% (gingivitis 50.6% and periodontitis 12.6%). Individuals with PD were older, more obese (without PD 15.2%; versus gingivitis 22.1% and periodontitis 32.4%) and more diabetic (without PD 5.1%; versus gingivitis 4.8% and periodontitis 13.2%), compared with those without PD. Among all cardiovascular risk factors evaluated, obesity was associated with periodontitis (multivariate OR, 2.36; 95% CI, 1.23-4.52). However, after additional adjustment for oral hygiene, this finding was no longer significant (multivariate OR, 1.63; 95% CI, 0.79-3.37). CONCLUSIONS: We did not find any significant associations between cardiovascular risk factors and periodontal disease in this sample.

scholarly journals Identification of Subgingival Periodontal Pathogens and Association with the Severity of Periodontitis in Patients with Chronic Kidney Diseases: A Cross-Sectional Study

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Fidan Bahtiar Ismail ◽  
Gener Ismail ◽  
Anca Silvia Dumitriu ◽  
Catalin Baston ◽  
Vlad Berbecar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Periodontal Disease ◽  
Kidney Diseases ◽  
Cross Sectional Study ◽  
Periodontal Pocket ◽  
Periodontal Pathogens ◽  
Medical File ◽  
Pocket Depth ◽  
Cross Sectional ◽  
Independent Risk Factors

Background. The aim of our study was to assess the subgingival profile of 9 periodontal pathogens, by means of real-time PCR, in a group of predialysis chronic kidney disease patients with and without periodontal disease and to identify the risk factors associated with periodontal disease in these patients.Material and Methods. This is a single centre cross-sectional cohort study performed on 70 CKD patients. Patients received a full-mouth periodontal examination and the following parameters were assessed: periodontal pocket depth (PPD), clinical attachment level, bleeding on probing, and plaque index; subgingival biofilm samples were collected from the deepest periodontal pocket of each quadrant and were pooled in one transporting unit. Clinical data were drawn from the medical file of the patients.Results.T. denticola(P=0.001),T. forsythia(P<0.001), andP. micros(P=0.003) are significantly associated with periodontal disease in CKD subjects but in a multivariate model only age andT. forsythiaremain independent risk factors for periodontal disease in patients with CKD.Conclusions. In our cohort, age andT. forsythiaare independently associated with periodontitis in CKD patients. Within the limits of this study, CKD was not significantly associated with a particular subgingival periodontal pathogens profile in periodontitis patients.

scholarly journals Prevalence of and risk factors for high-altitude hyperuricaemia in Bai individuals: a cross-sectional study

2021 ◽  
Vol 49 (7) ◽  
pp. 030006052110281
Author(s):  
Chenni Gao ◽  
Zijin Chen ◽  
Jun Ma ◽  
Jingyuan Xie ◽  
Wen Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Altitude ◽  
Prolonged Exposure ◽  
Laboratory Data ◽  
Cross Sectional Study ◽  
Normal Body Mass Index ◽  
Cross Sectional ◽  
Male Predominance ◽  
Traditional Risk Factors ◽  
Associated Risk Factors

Objective Hyperuricaemia is common in Bai individuals; however, its prevalence remains unclear. This work aimed to investigate high-altitude hyperuricaemia prevalence and risk factors in Bai individuals. Methods All eligible participants of Bai ethnicity (aged ≥18 years and undergoing routine medical examination at the People’s Hospital of Jianchuan County between January and December 2019) were consecutively enrolled. Demographic and laboratory data were collected to investigate hyperuricaemia prevalence and associated risk factors. Results A total of 1393 participants were assessed, comprising 345 (24.8%) with hyperuricaemia showing a male predominance (287/865 [33.2%] males versus 58/528 [11.0%] females). Hyperuricaemia prevalence was significantly higher in participants aged ≥50 years (100/332 [30.1%]) versus those aged 30–40 years (59/308 [19.2%]), and in overweight/obese individuals compared with those showing an underweight or normal body mass index (BMI; 267/885 [30.2%] versus 78/508 [15.4%]). Finally, haemoglobin concentrations and serum uric acid levels were positively correlated. Conclusion Besides traditional risk factors, including age, sex and BMI, polycythaemia due to prolonged exposure to high altitude may also cause hyperuricaemia in Bai individuals residing in Yunnan Province.

scholarly journals Maternal risk factors and periodontal disease: A cross-sectional study among postpartum mothers in Tamil Nadu

2017 ◽  
Vol 9 (5) ◽  
pp. 50 ◽  
Author(s):  
Rohini Govindasamy ◽  
Manikandan Dhanasekaran ◽  
SheejaS Varghese ◽  
VR Balaji ◽  
B Karthikeyan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Periodontal Disease ◽  
Tamil Nadu ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Maternal Risk Factors ◽  
Cross Sectional ◽  
Maternal Risk ◽  
Postpartum Mothers

scholarly journals Subclinical atherosclerosis and associated risk factors among hiv-infected adults in Jos, North Central Nigeria: a cross-sectional study

2020 ◽  
Vol 37 ◽  
Author(s):  
Lucius Chidiebere Imoh ◽  
Charles Chibunna Ani ◽  
Kuleve Othniel Iyua ◽  
Alfred Ibu Odo ◽  
Ganiyu Adeniyi Amusa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Subclinical Atherosclerosis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
North Central ◽  
Associated Risk Factors

scholarly journals Prediction of risk factors of periodontal disease by logistic regression: a study done in Karnataka, India

2018 ◽  
Vol 5 (12) ◽  
pp. 5301
Author(s):  
Shivalingappa Basavantappa Javali ◽  
Mohan Anantarao Sunkad ◽  
Appasaheb Saheb Wantamutte
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Periodontal Disease ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Cross Sectional Study ◽  
Full Model ◽  
Treatment Needs ◽  
Cross Sectional ◽  
Periodontal Index

Background: The purpose of the study was to analyze the dependence of oral health diseases i.e. periodontal disease by Community Periodontal Index of Treatment Needs (CPITN) by considering the number of risk factors through the applications of logistic regression model.Methods: This cross sectional study involves a systematic random sample of 600 permanent dentition aged between 18-40 years in Karnataka, India. The mean age was 34.26±7.28. The risk factors of periodontal disease were established by multiple logistic regression models using SPSS 21.0 statistical software.Results: The factors like frequency of brushing, timings of cleaning teeth and type of toothpastes are significant persistent predictors of periodontal disease. The log likelihood value of full model is –1085.7876 and AIC is 1.2577 followed by reduced regression model are -1019.8106 and 1.1748 respectively for periodontal disease. The area under receiver operating characteristic (ROC) curve for the periodontal disease is 0.6128 (full model) and 0.5821 (reduced model).Conclusions: The logistic regression model is useful in predicting risk factors like-frequency of brushing, timings of cleaning teeth and type of toothpastes for periodontal disease. The fitting performance of reduced logistic regression model is slightly a better fit as compared to full logistic regression model in identifying the these risk factors for both dichotomous periodontal disease. 

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