Dataset Information

Evaluation of a New Self-Reported Tool for Periodontitis Screening.

ABSTRACT: INTRODUCTION:Periodontitis is still highly prevalent in industrial population whereas at the same time appropriate screening programs are missing. AIM:To evaluate, a self-reported questionnaire about periodontal risk factors in combination with the Periodontal Screening Index (PSI) to identify an existing need for periodontal treatment combined with the early recognition of high-risk patients. MATERIALS AND METHODS:Total 200 patients took part in the questionnaire based study and were examined using the PSI. Thereafter the participants were divided into two groups, subjects with periodontitis (Group 1; PSI 0-2) and subjects without periodontitis (Group 2; PSI 3-4). The answers were evaluated using a point system ranging from 0 to 8, based on known periodontal risk factors and their assumed degree of influence. Receiver-Operating Characteristic (ROC) curve analysis were applied to examine the overall discriminatory power, sensitivity, specificity and corresponding cut-off points of the self-reported periodontal disease scale. RESULTS:There was a significant difference between Group 1 and 2 concerning the majority of the inquired items (12 of 16, p<0.05). The distribution of the individual total score exhibited a high statistical significance (p<0.001) of robustness in terms of differing definitions of periodontitis. The Area Under the Curve (AUC) was 0.912 with a sensitivity of 86% and a specificity of 76%. CONCLUSION:The questionnaire produced a reliable assessment of the individual risk (total score) and the need for periodontal treatment as well as the differentiation between gingivitis and periodontitis. CLINICAL RELEVANCE:Patient-based data (clinical variables and periodontal risk factors of periodontitis) were adequate to make a preliminary assessment of a possible need for periodontal treatment.

SUBMITTER: Renatus A

PROVIDER: S-EPMC4963759 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Evaluation of a New Self-Reported Tool for Periodontitis Screening.

Renatus Antonio A Kottmann Tanja T Schwarzenberger Fabian F Jentsch Holger H

Journal of clinical and diagnostic research : JCDR 20160601 6

<h4>Introduction</h4>Periodontitis is still highly prevalent in industrial population whereas at the same time appropriate screening programs are missing.<h4>Aim</h4>To evaluate, a self-reported questionnaire about periodontal risk factors in combination with the Periodontal Screening Index (PSI) to identify an existing need for periodontal treatment combined with the early recognition of high-risk patients.<h4>Materials and methods</h4>Total 200 patients took part in the questionnaire based stu ...[more]

PMID: 27504399

Similar Datasets

Project description:BackgroundWhile several studies aimed to identify risk factors for severe COVID-19 cases to better anticipate intensive care unit admissions, very few have been conducted on self-reported patient symptoms and characteristics, predictive of RT-PCR test positivity. We therefore aimed to identify those predictive factors and construct a predictive score for the screening of patients at admission.MethodsThis was a monocentric retrospective analysis of clinical data from 9081 patients tested for SARS-CoV-2 infection from August 1 to November 30 2020. A multivariable logistic regression using least absolute shrinkage and selection operator (LASSO) was performed on a training dataset (60% of the data) to determine associations between self-reported patient characteristics and COVID-19 diagnosis. Regression coefficients were used to construct the Coronavirus 2019 Identification score (COV19-ID) and the optimal threshold calculated on the validation dataset (20%). Its predictive performance was finally evaluated on a test dataset (20%).ResultsA total of 2084 (22.9%) patients were tested positive to SARS-CoV-2 infection. Using the LASSO model, COVID-19 was independently associated with loss of smell (Odds Ratio, 6.4), fever (OR, 2.7), history of contact with an infected person (OR, 1.7), loss of taste (OR, 1.5), muscle stiffness (OR, 1.5), cough (OR, 1.5), back pain (OR, 1.4), loss of appetite (OR, 1.3), as well as male sex (OR, 1.05). Conversely, COVID-19 was less likely associated with smoking (OR, 0.5), sore throat (OR, 0.9) and ear pain (OR, 0.9). All aforementioned variables were included in the COV19-ID score, which demonstrated on the test dataset an area under the receiver-operating characteristic curve of 82.9% (95% CI 80.6%-84.9%), and an accuracy of 74.2% (95% CI 74.1%-74.3%) with a high sensitivity (80.4%, 95% CI [80.3%-80.6%]) and specificity (72.2%, 95% CI [72.2%-72.4%]).ConclusionsThe COV19-ID score could be useful in early triage of patients needing RT-PCR testing thus alleviating the burden on laboratories, emergency rooms, and wards.

Project description:Study questionIs a history of periodontitis among women associated with reduced fecundability?Summary answerA history of periodontitis, as assessed by three different self-reported measures, may be associated with reduced fecundability.What is known alreadyPeriodontitis is a chronic inflammatory condition affecting the hard and soft tissues surrounding the teeth. Few studies have evaluated the association between periodontitis and time to pregnancy, and findings are mixed. It is hypothesized that periodontitis may adversely affect time to pregnancy.Study design, size, durationWe conducted a prospective cohort study of 2764 female pregnancy planners residing in North America (March 2015-June 2020).Participants/materials, setting, methodsEligible participants had been attempting pregnancy for six or fewer menstrual cycles at enrollment and were not using fertility treatment. Women answered questions about their oral health. Pregnancy was ascertained via bi-monthly follow-up questionnaires. We used proportional probabilities regression models to estimate fecundability ratios (FRs) and 95% confidence intervals (CIs) for three different measures indicative of a history of periodontitis: ever diagnosed with periodontitis (N = 265), ever received treatment for periodontitis (N = 299), and ever had an adult tooth become loose on its own (N = 83). We adjusted for potential confounders and precision variables. Women at risk of misclassification of periodontitis diagnosis due to pregnancy-related gingivitis were reclassified in a sensitivity analysis.Main results and the role of chanceAll three indices of periodontitis may be associated with reduced fecundability. FRs were 0.89 (95% CI 0.75-1.06) comparing women with and without a previous periodontitis diagnosis, 0.79 (95% CI 0.67-0.94) comparing women with and without previous periodontitis treatment, and 0.71 (95% CI 0.44-1.16) comparing women with and without a tooth that became loose. After reclassification of pregnancy-related gingivitis in the sensitivity analysis, the FR for periodontitis diagnosis was 0.83 (95% CI 0.68-1.00). Weaker FRs were observed among parous women as compared with nulliparous women for periodontitis diagnosis and tooth becoming loose, but not for periodontitis treatment.Limitations, reasons for cautionThough we used validated self-report measures of periodontitis, clinical confirmation is the gold standard. These questions may be functioning as markers of different levels of periodontitis severity, but we were unable to measure disease severity in this population. Finally, we cannot eliminate the possibility of unmeasured confounding.Wider implications of the findingsThis is the first preconception prospective cohort study to evaluate the association between self-reported periodontitis and fecundability. Our results indicate that periodontitis may be associated with lower fecundability.Study funding/competing interest(s)This work was partially funded by R01HD086742/Eunice Kennedy Shriver National Institute of Child Health and Human Development and R21HD072326/Eunice Kennedy Shriver National Institute of Child Health and Human Development. PRESTO has received in-kind donations from Swiss Precision Diagnostics, Sandstone Diagnostics, FertilityFriend.com, and Kindara.com for primary data collection. L.A.W. is a fibroid consultant for AbbVie, Inc. J.C.B., S.W., J.Y., K.J.R., E.E.H., and B.H. have no conflicts of interest to disclose.Trial registration numberN/A.

Project description:BackgroundHigh-quality cardiopulmonary resuscitation (CPR) remains essential to improve the outcome of patients in sudden cardiorespiratory arrest. Feedback on performance is a crucial component of the learning processes associated with simulation and has been shown to improve CPR quality during simulated cardiac arrest on mannequins. This study aims to evaluate skills acquisition using a new low-cost feedback device for CPR self-training when compared to standard training methods.MethodsThirty-nine pregraduated medical and biomedical engineering students were recruited for a longitudinal double-blinded randomized control study. For training Basic Life Support skills, the control group used a standard task-trainer and received feedback from an instructor. The intervention group used the same standard task-trainer, instrumented with the CPR Personal Trainer that provided automated performance feedback (with no instructor) on compression-related parameters. Students' knowledge and skills were assessed before and after training, through a theoretical knowledge test and 2 minutes of CPR practical performance.ResultsThe theoretical tests showed an improvement both in the intervention and in the control group. For each compression-related parameters (hands position, recoil, rate, and depth), significant increase in scores is observed, between the pre- and the post-test, in both groups. The intervention and control groups presented identical mean differences for the total score (0.72 vs 0.72), with no statistical difference (P?=?0.754).ConclusionsThe proposed tool proved to be effective in the acquisition of compression-related skills, with similar outcomes as the traditional instructor-based method, corroborating the hypothesis that a low-cost tool with feedback for CPR self-training can provide an alternative or a complementary extension to traditional training methods. The system can also be considered cost-efficient as it reduces the permanent presence of an instructor for the chest compressions training, promoting regular training outside formal training courses.

Project description:BackgroundSince periodontitis is bi-directionally associated with several systemic diseases, such as diabetes mellitus and cardiovascular diseases, it is important for medical professionals in a non-dental setting to be able examine their patients for symptoms of periodontitis, and urge them to visit a dentist if necessary. However, they often lack the time, knowledge and resources to do so. We aim to develop and assess "quick and easy" screening tools for periodontitis, based on self-reported oral health (SROH), demographics and/or salivary biomarkers, intended for use by medical professionals in a non-dental setting.MethodsConsecutive, new patients from our outpatient clinic were recruited. A SROH questionnaire (8 questions) was conducted, followed by a 30 s oral rinse sampling protocol. A complete clinical periodontal examination provided the golden standard periodontitis classification: no/mild, moderate or severe periodontitis. Total periodontitis was defined as having either moderate or severe. Albumin and matrix metalloproteinase-8 concentrations, and chitinase and protease activities were measured in the oral rinses. Binary logistic regression analyses with backward elimination were used to create prediction models for both total and severe periodontitis. Model 1 included SROH, demographics and biomarkers. The biomarkers were omitted in the analysis for model 2, while model 3 only included the SROH questionnaire. The area under the receiver operating characteristic curves (AUROCC) provided the accuracy of each model. The regression equations were used to create scoring algorithms, composed of the remaining predictors, each with its own weight.ResultsOf the 156 patients participating in this study, 67% were classified with total periodontitis and 33% had severe periodontitis. The models for total periodontitis achieved an AUROCC of 0.91 for model 1, 0.88 for model 2 and 0.81 for model 3. For severe periodontitis, this was 0.89 for model 1, 0.82 for model 2 and 0.78 for model 3. The algorithm for total periodontitis (model 2), which we consider valid for the Dutch population, was applied to create a freely accessible, web-based screening tool.ConclusionsThe prediction models for total and severe periodontitis proved to be feasible and accurate, resulting in easily applicable screening tools, intended for a non-dental setting.

Dataset Information

Evaluation of a New Self-Reported Tool for Periodontitis Screening.

Publications

Evaluation of a New Self-Reported Tool for Periodontitis Screening.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets