Risk Indicators of Pre-Eclampsia in North Jordan: Is Dental Caries Involved?

Khader, Yousef; Jibreal, Muna; Burgan, S.; Amarin, Zouhair

doi:10.1159/000097633

Cited by 9 publications

(6 citation statements)

References 65 publications

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“…Thus, untreated dental caries may result in further inflammatory complications 33,34 , which could affect pregnancy outcomes 35 . Similarly, we hypothesized that dental caries may be associated with preterm birth and preeclampsia through an infectious process but found that there was no association among them, which is inconsistent with the results from other studies [13][14][15][16] . Furthermore, we did not find any significant difference according to the treatment for dental caries.…”

Section: Discussioncontrasting

confidence: 96%

“…It has been reported that pregnant women with periodontal diseases have an increased risk of preterm birth, preeclampsia, and delivering small-for-gestational-age (SGA) infants 11,12 . Similarly, several studies have reported a positive association between dental caries and adverse pregnancy outcomes, including preterm birth and preeclampsia [13][14][15][16] . However, these findings have been challenged by further studies 8,17 .…”

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confidence: 88%

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Association between dental caries and adverse pregnancy outcomes

Cho

Kim

Lee

et al. 2020

Sci Rep

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Poor oral health is not only associated with diabetes and cardiovascular disease but adverse pregnancy outcomes. However the influence of dental caries on pregnancy is unknown. The aim of this study was to evaluate the association between dental caries and adverse pregnancy outcomes and the effect of treatment for dental caries on adverse pregnancy outcomes. Primiparas who delivered a singleton between January 1, 2010 and December 31, 2014 and underwent both general health examination and oral health examination during a National Korea Health Screening Examination within 1 year of pregnancy were eligible. The data of the women who met the inclusion criteria were linked to the data of their offspring contained within the National Korea Health Screening Program for Infants and Children database. Among 120,622 women who delivered during the study period, 28,623 (23.7%) women had dental caries. Among them, 4,741 (16.6%) women were treated for dental caries after diagnosis. In a multivariable analysis, women with dental caries had an increased risk of delivering large-for-gestational-age infants (odds ratio, 1.15; 95% confidence interval, 1.07, 1.23) compared to those without dental caries. When women with dental caries were divided on the basis of the treatment of dental caries, women with dental caries but no treatment had an increased risk of delivering large-for-gestational-age infants (odds ratio, 1.15; 95% confidence interval, 1.06, 1.24); conversely, there was no increased risk in women with dental caries and treatment compared with those without. Dental caries and its treatment were not associated with preterm birth and preeclampsia. Untreated dental caries was not associated with preterm birth or preeclampsia but with the risk of delivering large-for-gestational-age infants. These whole observation may be attributed to the various characteristics of mothers who develop dental caries are not treated.

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Section: Discussioncontrasting

confidence: 96%

mentioning

confidence: 88%

Association between dental caries and adverse pregnancy outcomes

Cho

Kim

Lee

et al. 2020

Sci Rep

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“…The association between higher BMI and risk of preeclampsia reported in our study is consistent with that of previous studies based on both Western populations [ 17 – 21 , 23 , 26 , 28 – 30 , 32 – 36 , 38 ], and Asian populations [ 16 , 22 , 24 , 25 , 27 , 31 , 37 , 67 , 68 ]. Among the few previous studies that investigated the association between pre-pregnancy BMI and preeclampsia subtypes [ 14 , 19 , 30 , 38 ], their results suggested that overweight/obesity before pregnancy increased the risk of S-PE [ 14 , 19 ], M-PE [ 30 ], LOPE [ 30 , 38 ], but not EOPE [ 14 , 19 , 30 , 38 ].…”

Section: Discussionsupporting

confidence: 93%

Pre-pregnancy BMI, gestational weight gain and risk of preeclampsia: a birth cohort study in Lanzhou, China

Shao

Qiu

Huang

et al. 2017

BMC Pregnancy Childbirth

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BackgroundTo evaluate the independent and joint effects of maternal pre-pregnancy BMI and gestational weight gain (GWG) on the risk of preeclampsia and its subtypes.MethodsA birth cohort study was conducted from 2010 to 2012 in Lanzhou, China. Three hundred fourty seven pregnant women with preeclampsia and 9516 normotensive women at Gansu Provincial Maternity and Child Care Hospital were included in the present study. Unconditional logistic regression models were used to evaluate the associations between pre-pregnancy BMI, GWG, and risk of preeclampsia and its subtypes.ResultsCompared to women with normal pre-pregnancy BMI, those who were overweight/obese had an increased risk of preeclampsia (OR = 1.81; 95%CI: 1.37–2.39). Women with excessive GWG had an increased risk of preeclampsia (OR = 2.28; 95%CI: 1.70–3.05) compared to women with adequate GWG. The observed increased risk was similar for mild-, severe- and late-onset preeclampsia. No association was found for early-onset preeclampsia. Overweight/obese women with excessive GWG had the highest risk of developing preeclampsia compared to normal weight women with no excessive weight gain (OR = 3.78; 95%CI: 2.65–5.41).ConclusionsOur results suggested that pre-pregnancy BMI and GWG are independent risk factors for preeclampsia and that the risk might vary by preeclampsia subtypes. Our study also proposed a potential synergistic effect of pre-pregnancy BMI and GWG that warrants further investigation.

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“…Preeclampsia is also associated with other digestive systemrelated codes, such as dental caries (K029) and excessive attrition of the teeth (K30). Pregnant women with dental caries had a higher prevalence of preeclampsia compared to normotensive controls (adjusted odds ratio [aOR] 1.76, 95% CI 1.43À2.18) [66]. However, excessive attrition of the teeth might not be directly associated with preeclampsia, but with age, because attrition of the teeth was greater in the age group of 51À60 years compared to those in either the age group of 20À30 years or other younger age groups (p<0.003) [67].…”

Section: Discussionmentioning

confidence: 99%

Artificial intelligence-assisted prediction of preeclampsia: Development and external validation of a nationwide health insurance dataset of the BPJS Kesehatan in Indonesia

Sufriyana

2020

EBioMedicine

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Background: We developed and validated an artificial intelligence (AI)-assisted prediction of preeclampsia applied to a nationwide health insurance dataset in Indonesia. Methods: The BPJS Kesehatan dataset have been preprocessed using a nested case-control design into preeclampsia/eclampsia (n = 3318) and normotensive pregnant women (n = 19,883) from all women with one pregnancy. The dataset provided 95 features consisting of demographic variables and medical histories started from 24 months to event and ended by delivery as the event. Six algorithms were compared by area under the receiver operating characteristics curve (AUROC) with a subgroup analysis by time to the event. We compared our model to similar prediction models from systematically reviewed studies. In addition, we conducted a text mining analysis based on natural language processing techniques to interpret our modeling results.Findings: The best model consisted of 17 predictors extracted by a random forest algorithm. Nine»12 months to the event was the period that had the best AUROC in external validation by either geographical (0.88, 95% confidence interval (CI) 0.88À0.89) or temporal split (0.86, 95% CI 0.85À0.86). We compared this model to prediction models in seven studies from 869 records in PUBMED, EMBASE, and SCOPUS. This model outperformed the previous models in terms of the precision, sensitivity, and specificity in all validation sets. Interpretation: Our low-cost model improved preliminary prediction to decide pregnant women that will be predicted by the models with high specificity and advanced predictors.

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Risk Indicators of Pre-Eclampsia in North Jordan: Is Dental Caries Involved?

Cited by 9 publications

References 65 publications

Association between dental caries and adverse pregnancy outcomes

Association between dental caries and adverse pregnancy outcomes

Pre-pregnancy BMI, gestational weight gain and risk of preeclampsia: a birth cohort study in Lanzhou, China

Artificial intelligence-assisted prediction of preeclampsia: Development and external validation of a nationwide health insurance dataset of the BPJS Kesehatan in Indonesia

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