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1.
Clin Oral Investig ; 27(9): 5509-5518, 2023 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-37505241

RESUMO

OBJECTIVES: To evaluate the relationship between obesity and periodontitis staging compared with periodontal healthy or gingivitis in pregnant women. MATERIALS AND METHODS: An analytical cross-sectional study was conducted on pregnant women between 11 and 14 weeks of pregnancy. Sociodemographic, clinical, obstetric, and periodontal variables were studied. The exposure variable was obesity (body mass index [BMI] ≥ 30), and the primary outcome was periodontitis staging versus periodontal healthy/gingivitis. Data were analysed and estimated by multinomial logistic regression models. RESULTS: The present study screened 1086 pregnancies and analysed 972 women with a median age of 29 years; 36.8% were diagnosed as obese. 26.9% of patients were diagnosed as periodontal healthy or gingivitis, 5.5% with stage I periodontitis, 38.6% with stage II periodontitis, 24% with stage III periodontitis, and 5.1% with stage IV periodontitis. After identifying and adjusting for confounding variables (educational level and plaque index), obesity had a relative risk ratio (RRR) of 1.66 (95% CI: 1.05-2.64; p = 0.03) and 1.57 (95% CI: 1.09-2.27; p = 0.015) for stage III periodontitis compared to periodontal healthy/gingivitis and stage II periodontitis, respectively. CONCLUSION: Besides the already known risk indicators for periodontitis (age, smoking, and educational level), our study suggests a relationship between obesity and periodontitis staging in pregnancy. CLINICAL RELEVANCE: Obesity can alter host immune responses, leading to increased susceptibility to infections and overactive host immunity, which could influence the prevalence and severity of maternal periodontitis in pregnancy.


Assuntos
Gengivite , Periodontite , Feminino , Humanos , Gravidez , Adulto , Estudos Transversais , Periodontite/complicações , Periodontite/epidemiologia , Obesidade/complicações , Obesidade/epidemiologia , Fatores de Risco , Gengivite/epidemiologia
2.
Prenat Diagn ; 36(5): 476-82, 2016 May.
Artigo em Inglês | MEDLINE | ID: mdl-26988336

RESUMO

OBJECTIVES: The objectives of this study are to explore the feasibility of measuring endothelial and placental biomarkers in saliva and gingival crevicular fluid (GCF) and to determine if patients with preeclampsia (PE) have a different profile of these biomarkers in oral fluids. METHOD: A case-control study was conducted, including patients with PE (n = 10) and a control group with normal pregnancies randomly selected (n = 20) admitted at the Sótero del Río Hospital in Santiago, Chile. A complete periodontal and obstetric history that involved the collection of oral fluids was performed at the same gestational age. Levels of Cd63(+) extracellular vesicles, placental alkaline phosphatase (PLAP), placental growth factor (PlGF), and sFlt-1 levels were determined by ELISA assays. Data analysis was performed with chi-square or Fisher's exact test, and Mann-Whitney U-test for continuous variables. The association was assessed using a multiple logistic regression model. RESULTS: sFlt-1 concentrations in saliva and GCF were significantly higher in patients with PE (p = 0.045 and p = 0.033 respectively). Concentrations of PLAP were elevated in GCF of patients with PE (p = 0.049). The PLAP/CD63(+) ratio in GCF of patients with PE was significantly higher (p = 0.0008). No differences in PlGF levels were observed. CONCLUSION(S): GCF of patients with PE concentrates higher levels of biomarkers related with the PE development. © 2016 John Wiley & Sons, Ltd.


Assuntos
Fosfatase Alcalina/metabolismo , Vesículas Extracelulares/metabolismo , Isoenzimas/metabolismo , Fator de Crescimento Placentário/metabolismo , Pré-Eclâmpsia/metabolismo , Saliva/química , Tetraspanina 30/metabolismo , Receptor 1 de Fatores de Crescimento do Endotélio Vascular/metabolismo , Adolescente , Adulto , Biomarcadores/metabolismo , Líquidos Corporais/química , Estudos de Casos e Controles , Chile , Ensaio de Imunoadsorção Enzimática , Feminino , Proteínas Ligadas por GPI/metabolismo , Gengiva , Humanos , Modelos Logísticos , Análise Multivariada , Gravidez , Adulto Jovem
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