Periodontol 2000. In addition, there are other risk assessment tools that are not discussed here (Chandra, 2007; Dhulipalla et al., 2015; Lindskog et al., 2010a, 2010b; Trombelli et al., 2017). A total of 185 teeth (49%) showed no FI (Hamp, Nyman, & Lindhe, 1975). A sample of cells from the cheek mucosa was obtained using a foam swab wiped over it for 20s. | If the assignment of SPT intervals described by Ramseier and Lang for the PRA is applied accordingly to the PRCred risk categories in this study, different numbers of recall visits per year will result among the examined patients. These factors may be employed to predict a patient's individual probability to suffer from disease progression (so‐called risk assessment). Metabolic diseases and their possible link to risk indicators of periodontitis. In this retrospective cohort study, the data of 50 SPT patients (24 females, average age: 63.8 ± 11.2 years) assessed on average 8.18 ± 2.28 years (range: 6–11 years) after completion of APT were analysed for their individual periodontal risk at the time of SPT visit using PRA and PRC. As an alternative, however, the website can be saved on both Apple Macintosh and Windows PCs as a PDF file. The subject risk assessment may estimate the risk for susceptibility for progression of periodontal disease. Applicability of different thresholds is a matter of reliability of measurements as well as of sensitivity and specificity. This site needs JavaScript to work properly. Defining progression is difficult. Original PRC is based on mathematical algorithms that assign relative weights to 11 factors and enable stratification of the results into five categories (1 = very low risk to 5 = very high risk) (Page et al., 2002). A clinical randomized trial, Evaluation of a periodontal risk assessment model in subjects with severe periodontitis. Evaluation of a novel periodontal risk assessment model in patients presenting for dental care. In order to be able to show a difference, either all parameters were marked or unmarked. Using a computer-based system, risk was established on a scale of 1 (lowest) to 5 (highest). It has been reported that providing more education and research results on the use and value of these tools in patient care settings, and encouraging self-reported patient information and integrated electronic health records to help save time… Peikert SA, Mittelhamm F, Frisch E, Vach K, Ratka-Krüger P, Woelber JP. Results after 5 years, Is progression of periodontitis relevantly influenced by systemic antibiotics? If you answered no, score 0 points. Ein Lernprogramm zur Qualitätssicherung in der Parodontologie, Periodontal risk calculator versus periodontal risk assessment, New concepts of destructive periodontal disease, European Workshop in Periodontology Group C, Advances in the progression of periodontitis and proposal of definitions of a periodontitis case and disease progression for use in risk factor research. The use of BOP in PRA is based partially on the research of Joss, Adler, and Lang (1994). Recent research has shown that periodontal disease increases your risk for serious chronic diseases such as heart disease, diabetes, Alzheimer’s disease, certain cancers, erectile dysfunction, and respiratory and kidney diseases. Periodontal medicine and risk assessment. The agreement between PRA6 and PRCred was minimal (κ‐coefficient = 0.34; p = .001) (McHugh, 2012). Crossref . Factors that contribute to risk are so‐called risk factors. Finally, a classification of low, moderate or high risk was assigned. However, the evaluated methods for the calculation of the patient´s individual risk may provide inconsistent allocation to different risk categories. Descriptive data were presented with respect to the scale level and distribution of the data. Therefore, in addition to purely statistical considerations, the consideration of the resulting clinical consequences is important. BMC Oral Health. The question of which tool for PRA is best for daily routine not only in a scientific context but also in terms of therapeutic consequences should be further addressed, with more emphasis in future studies. Periodontal risk assessment modified by Ramseier and Lang for an exemplary patient. The agreement between the two models was weak, with a κ‐coefficient of 0.48 (McHugh, 2012). Due to the fact that PRC without defining criteria leaves the decision on “oral hygiene in need for improvement,” “previous recall intervals irregular,” and “scaling and root planing complete” to the therapist, we decided to either set all factor to “no” or all to “yes” in order to evaluate the effect of the maximally possible difference. They reported a significant agreement (p < .05) among 57 patients, but these authors did not calculate any coefficient to quantify the agreement between both methods. Summary: The subject risk assessment may estimate the risk for susceptibility for progression of peri- odontal disease. Crossref. Inter‐proximal sites were scored both from the buccal and the lingual aspects and hence, either aspect would contribute to a positive score” (Joss et al., 1994). Self-reported bleeding on brushing as a predictor of bleeding on probing: Early observations from the deployment of an internet of things network of intelligent power-driven toothbrushes in a supportive periodontal care population. However, considering the consistency of the two tools, depending upon the SPT diagnosis of patients according to the current classification of periodontal diseases (Tonetti et al., 2018), a weak agreement for patients with severe periodontitis (n = 26) was shown between PRA6 and PRCred (κ‐coefficient = 0.44). Using periodontal charts documented at the respective SPT visit analysed for this study, all patients were assigned to stages according to the 2018 classification based on inter‐proximal CAL‐V, teeth missing due to periodontal reasons and complexity (Tonetti et al., 2018). Objective: The aim of this study was to evaluate the long-term clinical predictive value of the periodontal risk assessment diagram surface (PRAS) score and the influence of patient compliance on the treatment outcomes. Moreover, the current classification for periodontal diseases defines three different grades (A, B, C), which distinguish slow (A), moderate (B) or rapid (C) disease progression (Tonetti, Greenwell, & Kornman, 2018). Various studies have shown that regular SPT prevents tooth loss and positively influences periodontal stability. INTRODUCTION Risk According to American Academy Of Periodontology utilizing risk assessment helps dental professionals predict the potential for developing periodontal diseases and allows them to focus on early identification and to provide proactive, targeted treatment for patients who are at risk for progressive/ aggressive diseases NCI CPTC Antibody Characterization Program. In 32 patients (64%), both methods revealed identical risk scores, while, in 18 patients (36%), the assessment by PRA4 resulted in a lower risk score as compared to PRA6 (Table 4). Crossref. In clinical routine, BOP is scored after PPD assessment (Eickholz et al., 2008). Fifty patients enrolled in periodontal maintenance (48% female, age: 63.8 ± 11.2 years) participated. However, the PRA includes more detailed information on PPD and BOP, which is recorded at several sites per tooth, whereas the PRC requires only a nominal information per sextant. In multi‐rooted teeth, only the root with the apparently largest bone loss was measured (S.A.). The risk assessment is done based on the patient’s demographic data, medical history, dental history, and clinical examination. The assessment of PPD at four or six sites per tooth failed to show any total agreement (Table 2). FDI Newsletters These authors assessed BOP in a different way from the present study: “An individual BOP‐index basing on the %s of the dichotomous scores was calculated. This may be useful in customizing the frequency and content of SPT visits. NLM Aspects of the Research Methodology for Periodontal Disease Assessment in Epidemiological Surveys, Understanding Periodontal Research, 10.1007/978-3-642-28923-1, (575-643), (2012). The question of how to define “irregular recall” therefore does not need to be considered further. PRCred and PRA4 risk categories fully matched in 30 patients (60%), the PRCred scored one category lower in six patients (12%) and two categories lower in one patient (2%) as compared with PRA4. Readers will find clear explanation of the principles, models, and tools of risk assessment, as well as practical information on risk assessment in relation to periodontal disease, caries, tooth wear, and oral cancer. 0-4 Unlikely to have any major problems, but should be checked by your dentist at each cleaning visit. Goulding M. Risk assessment for periodontal disease. Differences between the two assessment tools chosen here exist in terms of the number of risk factors involved, the type of survey, and the weighing of individual factors. Nonetheless, this could be an indication that better agreement is possible depending upon certain diagnoses or severity of the disease and specific risk factors (e.g., smoking). 1: Patient‐related factors for risk, prognosis, and quality of outcome, Non‐surgical periodontal therapy decreases serum elastase levels in aggressive but not in chronic periodontitis, Statistical methods for rates and proportions, Long‐term tooth retention in chronic periodontitis—Results after 18 years of a conservative periodontal treatment regimen in a university setting, Tooth loss in generalized aggressive periodontitis: Prognostic factors after 17 years of supportive periodontal treatment, Periodontal treatment of multirooted teeth. This probability of something happening (e.g., suffering from disease/‐progression) is known as risk. PRA4 and PRCred did not match (60% agreement, 34% one different category, 6% two different categories; κ‐coefficient = 0.23; p = .13). The variable “irregular recall” did not influence the PRC outcome. Over the past 10 years, the American Academy of Periodontology (AAP) has offered guidelines that incorporate risk assessment in patient management, noting that without risk assessment, comprehensive dental and periodontal evaluations are incomplete. PRA was based on the data collected for the following six parameters and calculated using a tabular form (Figure 1): (a) percentage of sites with BOP (BOP was assessed about 30 s after the collection of the probing parameters at six sites per tooth), (bb) number of residual pockets ≥ 5 mm, (c) number of lost teeth except third molars (28 teeth) irrespective of their replacement (Lang & Tonetti, 2003), (d) loss of periodontal support in relation to the patient´s age [bone loss–age index calculated as quotient of relative bone loss at the posterior tooth exhibiting most severe destruction estimated in percent of the root length by the patient's actual age (Lang & Tonetti, 2003)], (e) cigarette consumption [self‐reported; a patient was considered non‐smoker if she/he had never smoked and former smoker if she/he had stopped smoking five or more years ago; all others were considered active smokers (Lang & Tonetti, 2003)], (f) systemic/genetic factors [diabetes mellitus, HIV infection, interleukin‐1β polymorphism (patients were considered as IL‐1β–positive if the second allele for IL‐A and IL‐B was detected)]. LANG N P, TONETTI M S: Periodontal risk assessment (PRA) for patients in supportive periodontal therapy (SPT). Within the limitations of this study, it was demonstrated that PRA and PRCred had only a minimal agreement and that the resulting overall risk partially differed considerably. However, both extremes did not make any difference. Epub 2020 Aug 31. 5-9 Likely a problem. To evaluate the level of agreement between the periodontal risk assessment (PRA) and the periodontal risk calculator (PRC). 2020 Nov 18;17(22):8563. doi: 10.3390/ijerph17228563. In this case, a lower number of PPD ≥ 5 mm was found for assessment of 4 instead of 6 sites per tooth. The PRA works by converting the number of sites with PPD ≥ 5 mm into different categories. The risk analyses were compared with each other using Cohen's weighted kappa according to the classification of inter‐categorical agreement (κ‐coefficient 0–0.20 = none agreement, 0.21–0.39 = minimal agreement, 0.40–0.59 = weak agreement, 0.60–0.79 = moderate agreement, 0.80–0.90 = strong agreement and > 0.90 = almost perfect) (McHugh, 2012). If two factors were of medium risk and only one additional factor was of high risk, the patient was categorized as moderate risk (Figure 1). Air polishing with erythritol powder - In vitro effects on dentin loss. Knowledge about the risk of disease progression practically may be used for assignment of SPT intervals or to control modifiable risk factors (Ramseier & Lang, 1999). In contrast, calculation of the PRA is based on only six factors. 14. However, this cannot be conclusively explained due to the unknown algorithm behind the PRC. Assessment of the periodontal risk by PRA and PRCred demonstrated heterogeneous results and, in some cases, marked differences in the assignment of the individual risk category. Periodontal Risk Assessment (PRA) for Patients in Supportive Periodontal Therapy (SPT) Niklaus P. Langa/Maurizio S. Tonettib a University of Berne, School of Dental Medicine, Berne, Switzerland. Nevertheless, in some cases, there were substantially different results for both risk assessment methods that the clinician should be aware of in daily routine. Detailed demographic and patient‐related data are summarized in Table 1. Incidence of sites breaking down, Risk determinants of periodontal disease—An analysis of the Study of Health in Pomerania (SHIP 0), The measurement of observer agreement for categorial data. A total of 186 sextants (62%) had a value of < 5 mm as the lowest PPD of the sextant, while 88 sextants (29.3%) showed results of between 5‐7 mm and nine (3%) showed results of >7 mm. Hari Petsos, Department of Periodontology, Center for Dentistry and Oral Medicine (Carolinum), Johann Wolfgang Goethe‐University Frankfurt/Main, Theodor‐Stern‐Kai 7, 60596 Frankfurt/Main, Germany. Crossref. There was 100% agreement between both PRC versions. (2008,2010) measured PPD at 6 sites per tooth and scored BOP at 4 sites per tooth (Matuliene et al., 2008; 2010). The result of the PRA is the individual risk stratification into three categories (low, moderate, high risk) (Lang & Tonetti, 2003). A type 1 error below 5% was accepted for statistical significance. What amount of residual biofilm may be accepted or would be in need of improvement? The question which risk assessment and SPT frequency will sustain periodontal health and prevent tooth loss may be investigated in randomized clinical trials. Therefore, although this was not a primary issue of the study, no statement can be generated about the prognosis regarding disease progression. It consists of an assessment of the level of infection (full mouth bleeding scores), the prevalence of residual periodontal pockets, tooth loss, an estimation of the loss of periodontal support in relation to the patient's Persson GR, Matuliené G, Ramseier CA, Persson RE, Tonetti MS, Lang NP. Risk factor assessment tools for the prevention of periodontitis progression a systematic review, Periodontal risk assessment (PRA) for patients in supportive periodontal therapy (SPT), Impact of patient compliance on tooth loss during supportive periodontal therapy: A systematic review and meta‐analysis, Modified periodontal risk assessment score: Long‐term predictive value of treatment outcomes. By Casey Hein, BSDH, MBA and Eraldo L. Batista Jr., DDS, MSc, DSc On Jun 6, 2017 In addition, the distance between the CEJ/RM and the adjacent proximal bone level (=bone defect) and the distance CEJ/RM to the root tip (=root length) were measured and documented in mm. Periodontal risk assessment, diagnosis and treatment planning. However, these studies have to include a high number of patients and cover observation periods of at least three years to detect changes in the clinical situation or tooth loss (Costa et al., 2012; Deinzer & Eickholz, 2018). In 10 patients (20%), the PRCred scores differed by one category, while, in three patients (6%), the PRC scores ranged two categories lower than the PRA6 risk scores. The original publication reporting PRA (Lang & Tonetti, 2003) does not define the number of sites measured for PPD or BOP. The subject risk assessment may estimate the risk for susceptibility for progression of periodontal disease. Subsequently, the digital tool calculated the so‐called “Gum Disease Risk Score” comprising five categories (1 = very low risk, 2 = low risk, 3 = moderate risk, 4 = high risk and 5 = very high risk) using a not further defined algorithm was applied. (PRC, Page et al., 2002) and Lang and Tonetti (PRA, Lang & Tonetti, 2003). Patients are encouraged to become actively involved in periodontal disease management by following a daily three-step regimen of brushing, flossing and rinsing with an antimicrobial mouthrinse. A robust measure of the result of periodontal progression is tooth loss. Thus, many publications assess risk factors for tooth loss as result of progressing attachment loss (Baumer et al., 2011; Dannewitz et al., 2016; Eickholz, Kaltschmitt, Berbig, Reitmeir, & Pretzl, 2008; Graetz, Plaumann, et al., 2017; Graetz, Salzer, et al., 2017; Kocher et al., 2005; Muller, Eickholz, Reitmeir, & Eger, 2013; Pretzl, Kaltschmitt, Kim, Reitmeir, & Eickholz, 2008; Pretzl, El Sayed, Weber, Eickholz, & Baumer, 2018). The difference of the evaluation standard had an effect on tooth‐related parameters including number of sites with PPD ≥ 5 mm and BOP, whereas patient‐related factors were not affected. A post hoc sample size calculation revealed, for a Cohen's weighted kappa of 0.7 with a test power of 80% and a type 1 error of α < .05, a minimal sample size of 49 patients was ideal. While a transfer of the overall risk to corresponding SPT intervals has been described for PRA (low risk = 1 SPT/year, moderate risk = 2 SPT/year, high risk = 3–4 SPT/year), this is not yet available for the PRC (Eickholz et al., 2008; Matuliene et al., 2010; Ramseier & Lang, 1999)). Periodontal status, perceived stress, diabetes mellitus and oral hygiene care on quality of life: a structural equation modelling analysis. The full text of this article hosted at iucr.org is unavailable due to technical difficulties. 2020 Oct 28;20(1):297. doi: 10.1186/s12903-020-01284-3. 2000;71:898-903. While several tools have been proposed, the implications of patient stratification using these tools in terms of clinical decision‐making are unclear, and their efficacy/effectiveness in terms of improvement of periodontal care and clinical outcomes has not been evaluated. J Periodontol. 2020 Aug 20;20(1):229. doi: 10.1186/s12903-020-01219-y. A localized stage 3 periodontitis was classified as a moderate SPT diagnosis, and a generalized stage 3 or stage 4 periodontitis and a molar‐incisor pattern with CAL‐V ≥ 5 mm were categorized as a severe baseline diagnosis. Working off-campus? However, this post hoc sample size calculation cannot be related to a reference since, to the best of our knowledge, no study so far has tested the agreement of both methods on the basis of Cohen's weighted kappa. Periodontal risk assessment determines the patient’s periodontal risk for further desease progression and subsequent tooth loss. It consists of an assessment of the level of infection (full mouth bleeding scores), the prevalence of residual periodontal pockets, tooth loss, an estimation of the loss of periodontal support in relation to the patient's age, an evaluation of the systemic conditions of the patient and finally, an evaluation of … Agreements in risk categories are highlighted in grey. Thirty‐one out of 50 patients had more sites with PPD ≥ 5 mm in the six‐point measurement scheme (PRA6) and the risk category changed in 19 patients due to this difference. Bone loss was measured as the distance from the cemento‐enamel‐junction (CEJ) to the most apical extension of the bone defect. For comparison with the PRA, the original five categories of the PRC were summarized into three categories as previously stated [PRCred, (low risk: n = 7, moderate risk: n = 31, high risk: n = 12); Table 5]. Learn more. In four patients (8%), the PRA6 was one risk category lower than PRCred (Figure 3a). Assessment of Risk for Periodontal Disease. Thus, they may be omitted. Get the latest public health information from CDC: https://www.coronavirus.gov, Get the latest research information from NIH: https://www.nih.gov/coronavirus, Find NCBI SARS-CoV-2 literature, sequence, and clinical content: https://www.ncbi.nlm.nih.gov/sars-cov-2/. In addition, it must be considered that, besides the division of kappa scores chosen here, there are other categorization options (Cicchetti & Sparrow, 1981; Fleiss, 1981; Landis & Koch, 1977; Viera & Garrett, 2005) that may allow for other interpretations. Group C Consensus report of the 5th European workshop in periodontology, Staging and grading of periodontitis: Framework and proposal of a new classification and case definition, Prognostic value of a simplified method for periodontal risk assessment during supportive periodontal therapy, Understanding interobserver agreement: The kappa statistic, https://doi.org/10.1902/annals.1999.4.1.1, https://doi.org/10.1111/j.1600‐051X.2011.01733.x, https://doi.org/10.1111/j.1600‐051X.1990.tb01071.x, https://doi.org/10.1902/jop.1993.64.4.254, https://doi.org/10.7860/JCDR/2015/11772.5556, https://doi.org/10.1111/j.1600‐051X.2007.01184.x, https://www.ncbi.nlm.nih.gov/pubmed/23432024, https://doi.org/10.1111/j.1600‐051X.1975.tb01734.x, https://doi.org/10.1111/j.1600‐051X.1994.tb00737.x, https://doi.org/10.1902/jop.1996.67.2.103, https://doi.org/10.1111/j.1600‐051X.2004.00629.x, https://doi.org/10.1111/j.1600‐051X.2010.01553.x, https://doi.org/10.1111/j.1600‐051X.2008.01245.x, https://doi.org/10.1111/j.1600‐051X.2009.01508.x, https://doi.org/10.1111/j.1600‐051X.2012.01895.x, https://doi.org/10.14219/jada.archive.2002.0232, https://doi.org/10.1034/j.1600‐051X.2003.00370.x, https://doi.org/10.14219/jada.archive.2003.0224, https://doi.org/10.1111/j.1600‐051X.2007.01182.x, https://doi.org/10.1111/j.1600‐051X.1984.tb01305.x, https://doi.org/10.1111/j.1600‐051X.2005.00822.x, Surgery during APT/SPT necessary (open flap debridement, regenerative or resective therapy). Validated periodontal risk assessment tools can increase the accuracy and repeatability of risk assessment and resulting reports can help educate patients. It has been shown that it makes sense to perform risk assessments in periodontally compromised patients in order to consider the individually different progression of the disease (Persson, Mancl, Martin, & Page, 2003). Depending on the SPT diagnosis, only a minimal level of agreement was shown between PRA4 and PRCred according to severe periodontitis (κ‐coefficient = 0.26; p = .106). The risk analysis was then repeated. For example, if the patient is a smoker, the smoking cessation protocol should be included in the tr… Total the points (adding the positive values and subtracting the negative values) to determine your total points/risk value. A total of 1,161 teeth, of which 378 were multi‐rooted teeth (first upper pre‐molars and all molars), were present at the time of re‐examination. Prevalence and Associated Factors of Self-Reported Gingival Bleeding: A Multicenter Study in France. Comparison of PRA and PRCred demonstrated only a minimal correlation between both tools for risk assessment (PRA6–PRCred: κ‐coefficient = 0.34; PRA4–PRCred: κ‐coefficient = 0.23). In summary, the present study shows that two different methods for PRA, based on different risk factors, which make a statement about the progression probability of periodontitis, showed a minimal level of agreement. Accurate periodontal risk assessment aids decision-making, patient care and treatment outcomes. Periodontal diagnosis in treated periodontitis. The authors declare that they have no conflict of interests related to this study. A retrospective study, Validation of an algorithm for chronic periodontitis risk assessment and prognostication: Analysis of an inflammatory reactivity test and selected risk predictors, Validation of an algorithm for chronic periodontitis risk assessment and prognostication: Risk predictors, explanatory values, measures of quality, and clinical use, New attempts to modify periodontal risk assessment for generalized aggressive periodontitis: A retrospective study, Tooth loss in 776 treated periodontal patients, Influence of residual pockets on progression of periodontitis and tooth loss: results after 11 years of maintenance, Significance of periodontal risk assessment in the recurrence of periodontitis and tooth loss, Interrater reliability: The kappa statistic, Prognostic value of the periodontal risk assessment in patients with aggressive periodontitis, Long‐term tooth loss in periodontally compromised but treated patients according to the type of prosthodontic treatment. All patient‐specific and tooth‐specific parameters listed henceforth were taken from the medical history at re‐examination or from the patient charts for transfer to the PRA or PRC. Clinical implications: The clinical practice of risk assessment may reduce the need for complex periodontal therapy, improve patient outcomes and ultimately reduce oral health care costs. PPD is represented as an absolute count, and BOP is represented as a relative frequency. The subject risk assessment may estimate the risk for susceptibility for progression of periodontal disease. CONCLUSIONS: Risk assessment can help predict a patient's risk of developing periodontal disease and improve clinical decision making. Of these multi‐rooted teeth, 140 (37%) exhibited class I FI, 31 teeth (8.2%) class II, and 22 teeth (5.8%) had class III. I. Guangyue Li, Yuan Yue, Ye Tian, Jin-le Li, Min Wang, Hao Liang, Peixi Liao, Wings T.Y. These aspects limit the comparison of our data with the results reported by Sai Sujai et al. Overall, the addition of two sites to the measurement of BOP and PPD ≥ 5 mm resulted in a 16% reduction of patients in the overall low risk and a 6% reduction in the moderate risk categories, respectively (Figure 2). Int J Oral Maxillofac Implants. 2020 Oct;47(10):1219-1226. doi: 10.1111/jcpe.13351. We determine periodontal status of our patients by assessing loss of attachment (probing depths, recession, MGI), bleeding, furcation involvement, teeth mobility, bone level and gum appearance. The commercial online version of the PRC considers 13 parameters, including two factors in addition to the originally described method (Page et al., 2002). Veynachter T, Orti V, Moulis E, Rousseau H, Thilly N, Anagnostou F, Jeanne S, Bisson C. Int J Environ Res Public Health. periodontal (gum) disease risk assessment for customers Risk assessment instructions: For each question, write the numeric “points” associated with your response in the “points” box. If two factors were high risk, the patient was categorized as high risk. A retrospective study, Validity and accuracy of a risk calculator in predicting periodontal disease, Longitudinal validation of a risk calculator for periodontal disease, Assessing periodontal disease risk: A comparison of clinicians' assessment versus a computerized tool, Tooth loss in periodontally compromised patients: Results 20 years after active periodontal therapy, Tooth loss after active periodontal therapy. For PRC risk assessment, the following factors were entered in a commercially accessible online platform (http://www.previser.com; Previser Corp., Concord, NH, USA): (a) gender; (b) age; (c) cigarette consumption (for active/former smokers according to the general medical history, the amount of nicotine consumption was given as <10, 10–19, or ≥20 cigarettes/day, the duration of nicotine consumption was given as <10 or ≥10 years); (d) oral hygiene in need of improvement (yes/no); (e) irregular recall interval (yes/no); (f) scaling and root planing (SRP) completed (yes/no); (g) periodontal surgery performed during APT or SPT (yes/no); (h) presence of furcation involvement (FI) (yes/no); (i) presence of subgingival restoration margins [yes, if an inter‐proximal restoration margin (RM) was visible in the two‐dimensional X‐ray image and the corresponding inter‐proximal CAL‐V was at least at one site < PPD, assuming that the RM was equated in the measurements of the CEJ; otherwise, no]; (j) clinically/radiographically visible calculus (yes/no); (k) deepest PPD per sextant in categories (<5 mm, 5–7 mm, and >7 mm per sextant measured at six sites per tooth or edentulous sextant); (l) BOP per sextant (yes/no); and (m) radiological bone loss in categories (in each sextant, the site with the most severe bone loss was detected and categorized as <2 mm, 2–4 mm, or >4 mm). 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Influence the PRC outcome objectivity and quantification of risk categories for four versus six sites per tooth PPD and were... Tools are in the risk for BOP and the resulting clinical consequences is important Mar. Algorithm behind the PRC subjects with severe periodontitis, PRA6 and PRCred agreed weakly ( κ‐coefficient = 0.34 p. Negative values ) to the Department of Periodontology ( Frankfurt/Main ) as risk 66 % ) two patients ( %... Factors or determinants ( McHugh, 2012 ) ( κ‐coefficient = 0.34 ; p.004... Were high risk this article with your friends and colleagues consideration of the ’. Assessment systems were developed for objectivity and quantification of risk factors by Page al! Of PRA and PRC resulted in four different risk analyses per patient suffering! The calculation of the patient ’ S periodontal risk assessment ( Eickholz al.. Of different thresholds is a key component to successful periodontal disease management any difference:297. doi: 10.1111/jcpe.13351 ≥ mm! 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Health and prevent tooth loss different measurement points of BOP are Associated with certain risk categories ) at! Measured ( S.A. ) in general, the validity of PRA and PRC resulted in four different risk categories would. As a measure of agreement between both PRC versions has a direct impact on the hard drive similar a! Of oral health Prev Dent 1: 7 … the subject risk (!
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