“Risk Assessment and Prognosis”- Guest lecture delivered at Vokkaligara Sangha Dental College and Hospital, Bangalore on 28/01/2016 and at “Perio Avalokan” held in Vishnu Dental College, Bhimavaram on 06/02/2016.
3. “A range of host-related factors can influence
the onset, clinical presentation, and rate of
periodontal disease progression. These factors
include, but are not limited to, smoking, poorly
controlled diabetes, poor oral hygiene, extent and
severity of alveolar bone loss, positive family
history, proportion of pocket probing depths >6
mm, age, gender, and gingival bleeding”
American Academy of Periodontology statement on risk assessment. J Periodontol. 2008 Feb;79(2):202.
4. ~
Causing a condition
~
influences outcome
Mak K, Kum CK. How to Appraise a Prognostic Study.
World J Surg 2005; 29: 567–56.
RISK & PROGNOSIS
6. WHY RISK?
Why is he in the clinics?
He has Periodontitis
Why periodontitis?
There are local deposits
Why are there deposits?
His plaque control is deficient
RISK & PROGNOSIS
7. RISK & PROGNOSIS
RISK: Probability that an individual will develop a
specific disease in a given period.
PERIODONTAL RISK: “This issue is important since
“factors such as risk and other criteria have been
suggested for referral.”*
*Martin JA et al. Periodontal diagnosis affected by variation in terminology.
J Periodontol. 2013 May;84(5):606-13.
8. Behavior, omission, or
deficiency that if corrected,
eliminated, or avoided would
have prevented the fatality
Any attribute, characteristic or
exposure of an individual that
increases the likelihood of
developing a disease
Mossman K. The Complexity Paradox: The More Answers We Find, the More Questions We Have.
Oxford University Press.
RISK & PROGNOSIS
14. RISK
is the possibility of harm
the starting point for analysing the cause of
disease
justifies treatment
RISK & PROGNOSIS
15. PROGNOSIS
Prediction of probable course, duration, and
outcome of a disease based on a general
knowledge of the pathogenesis of the disease
and the presence of risk factors for the disease.
RISK & PROGNOSIS
16. Uncertainty is the other side of Prognosis*
*Smith AK et al. Uncertainty--the other side of prognosis. Engl J Med. 2013 27;368(26):2448-50.
**Italiano A. Prognostic or predictive? It's time to get back to definitions! J Clin Oncol. 2011 10;29(35):4718.
Greek πρόγνωσις "fore-knowing, foreseeing“
Rx provider predicts that how the patient will
progress over time
A PROGNOSTIC FACTOR** is a clinical or biologic
characteristic that is objectively measurable and
that provides information on the likely outcome of
the cancer disease
RISK & PROGNOSIS
18. “MCGUIRE AND NUNN’’ STUDIES
PROGNOSIS OF THE TEETH STUDIED
CHANGED VERY LITTLE FROM INITIAL
TO 5 TO 8 YEARS.
“GOOD” PROGNOSIS IS HIGHLY
PREDICTABLE
SURVIVAL TIME FOR TEETH THAT
WERE LOST WAS APPROXIMATELY
5 YEARS POST-TREATMENT
“WAIT & SEE” WITH GENETIC
POLYMORPHISMS
RISK & PROGNOSIS
21. Prediction of Prognosis*
*Hirschfeld A, et al. A long-term survey of tooth loss in 600 treated periodontal patients. J Periodontol 1978; 49: 225-23
**McGuire M K. Prognosis versus actual outcome. J Periodontol 1991; 62: 51-58.
Easier to predict the prognosis for single-rooted
teeth
Molar teeth were four times more likely to be
affected than all other teeth combined
Anterior teeth respond better to periodontal
treatment and are less likely to be lost
The poorest results occurred for the maxillary
bicuspids and molars
RISK & PROGNOSIS
22. RISK ASSESSMENT- WHAT,WHY AND WHEN?
Risk assessment has been defined as the “process
by which qualitative or quantitative assessments
are made of the likelihood for adverse events to
occur as a result of exposure to specified health
hazards or by the absence of beneficial influences”*
*American Academy of Periodontology statement on risk assessment. American Academy of Periodontology
J Periodontol. 2008 Feb; 79(2):202.
What
23. “Risk assessment goes beyond
the identification of the
existence of disease and its
severity, and considers factors
that may influence future
progression of disease”
“Identifying adverse changes in
risk factors, which might be
suggestive of disease onset or
progression is an important
clinical concept”
What
24. Risk
Calculator
Score
3
Overestimating
risk by 2 scores
Underestimating
risk by 1 score
Over-
Estimated
Risk
Under-
Estimated
Risk
Overestimating
risk by 1 score
Underestimating
risk by 2 scores
Why
Persson GR et al.
Assessing periodontal disease risk. J Am Dent Assoc 2003
25. *Persson GR et al. Assessing periodontal disease risk. J Am Dent Assoc 2003
**Jill Shiffer Nield-Gehrig, Donald E. Willmann. Foundations of Periodontics for the Dental Hygienist
Clinicians can’t assess the risk of future disease*
All interacting factors should be accounted for**
Quantification of all risk and prognostic factors
can better assess periodontitis**
Why
26. COMPONENTS OF RISK ASSESSMENT*
* Zero D, Fontana M, Lennon AM.
Clinical applications and outcomes of using indicators of risk in caries management. J Dent Educ 2001;65(10):1126-32.
How
33. ValidityThe NHANES III* database reported the prevalence of
Periodontitis in the adult population as
65% were Healthy
22% had Mild Periodontitis
13% had Moderate to Severe Periodontitis
* Albandar, et al. J Periodontol 1999; 70: 13-29 .
36. ValidityRisk Scores and Patient Perception*
* Nagarajan S, Chandra RV. Perception of oral health related quality of life (OHQoL-UK) among periodontal
risk patients before and after periodontal therapy. Community Dent Health 2012 Mar;29(1):90-4.
38. Limitations
&
Future
Directions
Risk assessment models have not yet been validated
in longitudinal studies*
Research is needed to determine the most effective
way to incorporate risk assessment*
Incorporation of risk into clinical practice has the
potential to substantially alter the traditional approach
to periodontal care delivery*
It is anticipated that this will reduce the need for
complex periodontal procedures and the cost of
periodontal care**
*Kye et al. J Evid Base Dent Pract 2012:S1: [2-11]: 1532-3382.
**American Academy of Periodontology statement on risk assessment. J Periodontol. 2008 Feb; 79(2):202.
Editor's Notes
Path of influencec
In 1991 McGuire evaluated the outcome of treatment in 100 patients that were followed up for a mean of 7 years following active treatment.
In the second part of this study the authors attempted to investigate the accuracy of a statistical model that would consider several explanatory variables such as, furcation involvement, pocket depth, percentage of bone loss, mobility, crown to root ratio and root proximity, based on the data published previously[8]. The model was very accurate in predicting prognosis (approximately 80%), especially in non-molar teeth. When scrutinizing the results, the authors found that the accuracy of the model was significantly compromised when teeth with good prognosis were excluded from the analysis (< 50%).
In the third part of the study the authors extended the follow-up to 16 years. This extended observation time increased the number of teeth lost to 131 of the 2509 initially present. The average survival time for teeth that were lost was approximately 5 years post treatment.
When an evaluator scored a test subject as being risk level 3 this agreement with OHIS is shown by the dot appearing in the red circle. If the evaluator scored 4 or 5, the dot is shown above the horizontal line in the inner or outer circle, respectively. If the evaluator scored 1 or 2, the dot is shown below the horizontal line in the inner or outer circle, respectively. It is notable that agreement with OHIS was only 20%, a level of agreement with a 1 to 5 scale that could have been achieved through a coin toss. Most evaluators underestimated risk, while some over-estimated risk. These data indicate that even expert clinicians rate poorly in their judgment of risk and, as a consequence, are likely providing treatment that are inappropriate for many patients. However, these findings should not be unexpected or alarming to dentists because the professional dental literature only provides a laundry list of risk factors with no practical methodology suggested on how to determine risk, leaving the dentist no method other than his or her subjective judgment.
, some assigned the same risk as OHIS™, and some overestimated risk. This implies that treatment would be inappropriate for a large number of patients, since clinicians cannot accurately assess the risk of future disea
Page et al (2002) Periodontal Risk Calculator (PRC) is the basis for Previser; 11 factors are considered.
Lang and Tonetti (2003) Periodontal Risk Assessment (PRA): 6 factors: Full-mouth BOP %, PD * 5mm, tooth loss, radiographic bone loss-to-age ratio, systemic and/or genetic conditions, smoking
Functional periodontal pentagon risk diagram (PPRD) with five periodontal risk vectors was created
For UniFe risk calculation, the ''parameter scores'' assigned to smoking status, diabetic status, number of sites with probing depth 5 mm, bleeding on probing score (BoP) and bone loss/age, were added and the sum was referred to a ''risk score'', ranging from 1 (low risk) to 5 (highrisk). PAT(R) generated a risk score on a scale from 1 (lowest risk) to 5 (highest risk).
1SHM½IH46% 8 factors: Full-mouth BOP %, PD * 5mm, tooth loss, CAL to age ratio, smoking, DM, dental status - systemic factors interplay, psychosocial factors
Modified periodontal risk assessment score (PRAS).
That periodontal disease severity is highly stratified in the population can be seen from NHANES III, in which Albandar and colleagues determined that 65% of the US adult population over the age of 30 was periodontally healthy, 22% had mild periodontitis, and 13% had moderate to severe periodontitis.
Diagnosis describes the current disease state where risk predicts the expected future disease state, which could be better, worse, or the same. Diagnosis is determined from signs and symptoms, whereas risk assessment uses risk factors. Risk level and disease (health status) creates a 3rd dimension to describe health status. Risk and disease are distinct entities, which means that both are needed to fully describe a patient’s health status including current and future time frames. There is a natural tendency to equate the level of risk with disease severity. For example severe disease is commonly paired with high risk and health with low risk. However health cannot always mean low risk, as health must always precede severe disease.
The study population consisted of 183 patients reporting to the outpatient department of periodontics, who were grouped into low, moderate and high risk patients based on the periodontal risk assessment model. The patients were asked to complete the OHQoL-UK 16 questionnaire before and after periodontal therapy. The change in the patient perception of quality of life before and after treatment was assessed.
RESULTS:
Periodontitis had a considerable negative impact on the quality of life of patients in the high risk group in comparison to low and moderate risk groups (p < 0.001). Treatment brought about an improvement in the OHQoL scores in the moderate and high risk group.