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Presented by
Dr. Guru Ram Tej. K
Post Graduate
Mamata Dental College
CONTENTS..


INTRODUCTION



TERMINOLOGIES



CLASSIFICATION OF RISK FACTORS



RISK ELEMENTS FOR PERIODONTAL
DISEASE



RISK ASSESSMENT
TOOLS TO MEASURE RISK
Periodontal Screening And Recording (P S R)
Interactive Patient Questionnaire
Patient Assessment Tool Of OHIS
Patient Risk Calculator (Previeser)
Uni Fe
Hexagonal Risk Diagram For Periodontal Risk Assessment
Periodontal Risk Assessment By Vishwa Chandra
H I D E P Model
Continuous Multilevel Risk Assessment By Lang And
Bragger
Cronin/ Stassen Beds Chasm Scale
Continuous Multilevel Risk Assessment In 2011
Periodontal Risk Using Two Artificial Neural Networks
CONCLUSION
REFERENCES
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
TERMINOLOGIES


RISK



Risk factors



Risk determinants



Risk indicators



Risk predictors
CLASSIFICATION


Based on the evidence
 Primary risk factor
 Secondary risk factor
 Tertiary risk factor
Pathogenesis of periodontitis
Cytokines and
prostaglandins

Neutrophils
Antibodies
Complement

Bacterial
load
Antigen
LPS

Other virulence
factors

Host
response

MMP

Turn over
Serine proteases

Oxygen radicals

Tissue
degradation

Clinical
changes
RISK FACTORS


GENETIC



ENVIRONMENTAL



BEHAVIOURAL



LIFE STYLE



METABOLIC



HEMATOLOGICAL



GENDER



AGE
RISK FACTORS


HIV



PREVIOUS HISTORY



SOCIOECONOMIC STATUS



BLEEDING ON PROBING



OSTEO POROSIS



NUTRITION



BACTERIA
GENETIC


Polymorphisms


During periodontal inflammation cytokines
activate the catabolic enzymes such as
matrix metalloproteinases leading to
breakdown of connective tissue, any gene
polymorphism of such proteins alters the
susceptibility of host.



Michalowicz et al in 2000, demonstrated the
hereditary aggregation in a twin study for
chronic periodontitis
Pathogenesis of periodontitis
Cytokines and
prostaglandins

Neutrophils
Antibodies
Complement

Bacterial
load
Antigen
LPS

Other virulens
factors

Host
response

MMP

Turn over

Tissue
degradation

Clinical
changes

Serine proteases

Oxygen radicals

Interleukin

+
BEHAVIOURAL RISK FACTORS


Stress

“I tell you, if you don’t get my home soon and help me with these children, I will get gum disease”
STRESS


Stress manifests in periodontium through
behavioural changes, like increased smoking
and poorer oral hygiene
Genco et al in 1998
LIFE STYLE RISK FACTORS


Smoking

“What do you mean, smoking is bad for my gums”
Pathogenesis of periodontitis
Cytokines and
prostaglandins

Neutrophils
Antibodies
Complement

Bacterial
load
Antigen
LPS

Other virulens
factors

Smoking

Host
response

MMP

Turn over

Tissue
degradation

Clinical
changes

Serine proteases

Oxygen radicals

Smoking

+
SMOKING
With increased use of tobacco, patients show
higher periodontal probing depths, increased
clinical attachment loss, more alveolar bone
resorption, a higher prevalence of gingival
recessions, and a higher risk for tooth loss
Tonetti in 1998
SMOKING…


Tobacco use shifts the physiological balance
between anabolic and catabolic mechanisms
in a more destructive direction, due to an
alteration of protective immune and tissue
mechanisms
Palmer 2005
johnson and guthmiller in 2007
Ryder in 2007
SMOKING…


There is a robust evidence from a systematic
review, on basis of 70 cross sectional studies ,
14 case-control, and 21 cohort studies , it is
concluded that smoking negatively interferes
with a healthy periodontal condition
Bergstrom in 2006



Periodontitis in smokers respond less to
treatment, former smokers get a slower disease
progression
Bolin et al. 1993
METABOLIC RISK FACTORS
The reduced function of PMNs increases the
risk of periodontal disease in diabetes
 Formation of AGEs leads to impaired collagen
production and metabolism
Schmidt et al in 1996




Infections observed in periodontitis can lead to
insulin resistance and poor diabetic control
Atkinson and Mclaren in
1990
METABOLIC RISK FACTORS
HEMATOLOGICAL RISK FACTORS
Chronic myeloid leukamia
 Myelodysplasia syndrome
 Agranulocytosis
 Neutropenia
 Defects in the lymphocyte function

GENDER


Disease susceptibility may increased due to
hormone related alterations in women
in the gingival blood flow(Kovar et al in 1985)
in the composition of saliva(Laine on 2002)
or the bone metabolism( Lerner in 2006)



Men are found with worse periodontal
health(Albandar in 2002: Meisel et al in 2007)
AGE
The aging process itself is suggested to be
an independent risk factor for periodontal
diseases
Papapanou in 1989
 The extent of severity of periodontal
diseases are shown to increase with age
Albandar in 2002

HUMAN IMMUNO DEFICIENCY VIRUS


Chapple et al in 2000 stated that highly
active anti retroviral therapy has limited
periodontal disease progression in HIV
patients



Treatment with HAART has indicated that
seropositivity with HIV doesn’t in itself
constitute a serious risk of periodontal
disease
SOCIOECONOMIC STATUS


Indices for assessing SES have been used
ranging from income level to education level



SES may represent a measure of personal
drive and motivation, and may impact the
quality of oral hygiene habits
BACTERIA


Specific bacteria in subgingival plaque

1.

Tanerella forsythus

2.

Porphyromonas gingivalis

3.

Aggregatibacter actinomycetemcomitans
ASSESSMENT OF RISK


Patient level risk assessment



Whole mouth risk assessment



The tooth level risk assessment



The site level assessment
PATIENT LEVEL RISK ASSESSMENT


Family history- for hereditary/ inborn/ genetic

factors


Medical history- systemic diseases



Present dental history



Social history- smoking



Habits- bruxism/tongue thrusting
MOUTH LEVEL RISK ASSESSMENT
Examination of attachment loss relative to
age
 Occlusal examination in static relationship
 Occlusal examination in dynamic relation
ship
 Examination of levels oral hygiene
 Examination of levels of plaque retentive
factors
 Presence of removable prosthesis
 Gingival tissue quality

TOOTH LEVEL RISK ASSESSMENT
Tooth anatomy
 Mobility
 Tooth support
 Furcation lesions
 Presence of ledges, anatomy of
embrassures
 Individual occlusal contacts
 Soft tissue contours
 Subgingival calculus

SITE LEVEL RISK ASSESSMENT
 BOP
 Suppuration
 Root

grooves and concavities
 Probing pocket depths
 Attachment levels
 Other anatomic factors
 Enamel pearls
TOOLS TO MEASURE RISK FACTORS









PSR
INTERACTIVE PATIENT ASSESSMENT TOOL
P A T OF OHIS
PRC
UNIFE
HEXAGONAL RISK DIAGRAM FOR
PERIODONTAL RISK ASSESSMENT(PRA)
PERIODONTAL RISK ASSESSMENT MODEL
DEVELOPED BY VISHWA CHANDRA
CONT…










SCHUTTE AND DONLEY 1956 PATIENT
QUESTIONAIRE
H I D E P MODEL
CONTINOUS MULTILEVEL RISK ASSESSMENT
by LANG AND BRAGGER
CRONIN/STASSEN BEDS CHASM SCALE
CONTINOUS MULTILEVEL RISK ASSESSMENT
MODEL IN 2011
PERIODONTAL RISK ASSESSMENT USING
TWO ARTIFICIAL NEURAL NETWORKS
PERIODONTAL SCREENING AND
RECORDING(PSR)
Periodontal Screening and Recording (PSR)
is a rapid and effective way to screen
patients for periodontal diseases and
summarizes necessary information with
minimum documentation.
 PSR is an adaptation of the Community
Periodontal Index of Treatment Needs
(CPITN), which is endorsed by WHO and
FDI for periodontal screening.

BENEFITS


Early detection



Speed.- appointment time



Simplicity



Cost-effectiveness- probe



Recording ease- sextant



Risk management- documentation
PSR CODES
UNIFE


In 2009, Trombelli and co-workers proposed
a new objective method(UniFe), Union of
European Railway Industries, in order to
simplify the risk assessment

Which is based on 5 parameters
Smoking status, diabetic status, no. of sites
with PD ≥ 5mm, BOP score and bone
loss/age records

Risk assessment according to the UniFe method

Trombelli L, Farina R, Ferrari S, Pasetti P, Calura G
Comparison between two methods for periodontal risk assessment.
Minerva Stomatologica 2009;58:277-287
HEXAGONAL RISK DIAGRAM




Lang and Tonetti in 2003 described a functional diagram
based on six parameters for use in estimating an individual
risk for progression of periodontitis
The PRA model consists of an assessment level of infection,
the prevalence of residual pockets, tooth loss, an estimation
of loss of periodontal support in relation to patients age, an
evaluation of systemic and genetic conditions and an
evaluation of the environmental/behavioural factor smoking

All parameters have their own scale for low, moderate and
high risk profiles
HEAGONAL RISK DIAGRAM DEVELOPED BY
LANG AND TONETTI
HEXAGONAL RISK DIAGRAM DEVELOPED
BY VISHWA CHANDRA
In 2007, Chandra evaluated a novel periodontal
risk assessment model based on model by
Lang and Tonetti
1. Percentage of sites with BOP
2. No. of sites with PD ≥ 5mm
3. No. of teeth lost
4. Bone loss/age ratio
5. Attachment loss/age ratio
6. Diabetes and smoking
7. Dental status
8. Systemic factors and risk determinants are
recorded

Lang and bragger in 1992
CONTINOUS MULTILEVEL RISK ASSESSMENT


The risk assessment models uses
retrospective and current data to assess the
risk and is based on the simple scale of 0-5



A functional diagram was developed
depending on the area of the polygon it
categorizes to low, medium, high risk
categories
Sandhya and Sripriya in 2011
SCHUTTE AND
DONLEY 1956
PATIENT
QUESTIONAIRE
H I D E P MODEL


Screening and management method called
HIDEP (health improvement in dental practice)
model which uses predefined risk groups for
selecting and managing individual treatment &
prevention schemes

The HIDEP model--a straightforward dental health care model
for prevention based practice management. Sandberg,
Hans C. H. Swedish Dental Journal. 2007, Vol. 31 Issue 4,
p171-179.
CRONIN/STASSEN BEDS CHASM SCALE
B -BMI

score 2

Four step risk
E - EthinicIty
score 1.5
assessment
D - Diabetic
score 2.5
model
S - Stressed
score 2
 Odds ratio helps
score 2.5
to standardize risk C - College
assessment,
H - Hygiene
score 2
allowing factors to
A - Age 65+
score 3.5
be easily
S - Smoker
score 1.5
compared with the
M - Male
score 1.5
standard
The total score of 19 indicates the highest risk
numerical index

PERIODONTAL RISK ASSESSMENT USING
TWO ARTIFICIAL NEURAL NETWORKS


Neural Networks are a different paradigm for
computing:
Von Neumann machines are
based on the processing/memory abstraction
of human information processing.
Neural networks are based on
the parallel architecture of animal brains.
PERIODONTAL RISK ASSESSMENT USING TWO
ARTIFICIAL NEURAL NETWORKS


Lavenberg Marquardt Algorithm



Scaled Conjugate Gradient Algorithm
CONCLUSION
“ Measurement, Assessment, Elimination or
reducing as many risks as possible will
improve disease prevention and treatment
outcomes”
REFERENCES












American Academy of Periodontology statement on risk assessment.
Journal of Periodontology 2008; 79: 202.
W. M. Thomson, S. J. Edwards, D. P. Dobson-Le, G. R. Tompkins, R.
Poulton, D. A. Knight and A. W. Braithwaite: IL-1 genotype and adult
periodontitis among young New Zealanders. J Dent Res. 2001
;80(8):1700-3
Andreas Siebold, Are you at risk for periodontal disease: interactive
patient risk assessment tool: south African Society of Periodontology:
2006
Page R, Krall EA, Martin J, Mancl L, Garcia RI. Validity of Periodontal
Assessment Tool® (PAT®) in predicting periodontal disease. Journal of
the American Dental Association 2002; 133(5): 569-576
Page R, Martin J, Krall EA, Mancl L, Garcia RI. Longitudinal Validation
of risk calculator for periodontal disease. J Clin periodontol 2003; 30(9):
819-27
Trombelli L, Farina R, Ferrari S, Pasetti P, Calura G. Comparison
between two methods for periodontal risk assessment. Minerva
REFERENCES…












Lang NP, Tonetti MS. Periodontal risk assessment (PRA) for patients in
supportive periodontal therapy (SPT). Oral Health Prev Dent. 2003;1:7-16
Chandra RV. Evaluation of a novel periodontal risk assessment model in
patients presenting for dental care. Oral Health Prev Dent. 2007;5: 39-48.
Uno G H Fors, Sandberg Hans C. H. computer aided risk management- a
software tool for the Hidep model: Quintessence Int 2001; 32; 309-320.
Sandberg Hans C. H. The HIDEP model-a straightforward dental health
care model for prevention based practice management. Swedish Dental
Journal. 2007, 31(4), 171-179.
Cronin AJ, Claffey N, Stassen LF. Who is at risk? Periodontal disease risk
analysis made accessible for the general dental practitioner. Br Dent J.
2008 205(3):131-7
Lang NP, Bragger U, Salvi G, Tonetti MS. Supportive periodontal theraphy.
In: LIndhe J, Karring T, Lang NP, editors. Clinical Periodontology and
implantology. 4th ed. Oxford: Blackwell Munksgarrd; 2003. pp. 781–805
Rajesh S, Lalit Kumar Mathur, Manju A N, Neema Rai, Aditi Mathur.
Periodontitis Risk Assessment using two artificial Neural Networks: Int J of
Dent clinics 2010; 2(4): 36-40.
THANK YOU

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Dr. Guru Ram Tej. K Presents Risk Factors and Tools for Periodontal Risk Assessment

  • 1. Presented by Dr. Guru Ram Tej. K Post Graduate Mamata Dental College
  • 2. CONTENTS..  INTRODUCTION  TERMINOLOGIES  CLASSIFICATION OF RISK FACTORS  RISK ELEMENTS FOR PERIODONTAL DISEASE  RISK ASSESSMENT
  • 3. TOOLS TO MEASURE RISK Periodontal Screening And Recording (P S R) Interactive Patient Questionnaire Patient Assessment Tool Of OHIS Patient Risk Calculator (Previeser) Uni Fe Hexagonal Risk Diagram For Periodontal Risk Assessment Periodontal Risk Assessment By Vishwa Chandra H I D E P Model Continuous Multilevel Risk Assessment By Lang And Bragger Cronin/ Stassen Beds Chasm Scale Continuous Multilevel Risk Assessment In 2011 Periodontal Risk Using Two Artificial Neural Networks CONCLUSION REFERENCES
  • 4. 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
  • 6. CLASSIFICATION  Based on the evidence  Primary risk factor  Secondary risk factor  Tertiary risk factor
  • 7. Pathogenesis of periodontitis Cytokines and prostaglandins Neutrophils Antibodies Complement Bacterial load Antigen LPS Other virulence factors Host response MMP Turn over Serine proteases Oxygen radicals Tissue degradation Clinical changes
  • 9. RISK FACTORS  HIV  PREVIOUS HISTORY  SOCIOECONOMIC STATUS  BLEEDING ON PROBING  OSTEO POROSIS  NUTRITION  BACTERIA
  • 11.  During periodontal inflammation cytokines activate the catabolic enzymes such as matrix metalloproteinases leading to breakdown of connective tissue, any gene polymorphism of such proteins alters the susceptibility of host.  Michalowicz et al in 2000, demonstrated the hereditary aggregation in a twin study for chronic periodontitis
  • 12. Pathogenesis of periodontitis Cytokines and prostaglandins Neutrophils Antibodies Complement Bacterial load Antigen LPS Other virulens factors Host response MMP Turn over Tissue degradation Clinical changes Serine proteases Oxygen radicals Interleukin +
  • 13. BEHAVIOURAL RISK FACTORS  Stress “I tell you, if you don’t get my home soon and help me with these children, I will get gum disease”
  • 14. STRESS  Stress manifests in periodontium through behavioural changes, like increased smoking and poorer oral hygiene Genco et al in 1998
  • 15. LIFE STYLE RISK FACTORS  Smoking “What do you mean, smoking is bad for my gums”
  • 16. Pathogenesis of periodontitis Cytokines and prostaglandins Neutrophils Antibodies Complement Bacterial load Antigen LPS Other virulens factors Smoking Host response MMP Turn over Tissue degradation Clinical changes Serine proteases Oxygen radicals Smoking +
  • 17. SMOKING With increased use of tobacco, patients show higher periodontal probing depths, increased clinical attachment loss, more alveolar bone resorption, a higher prevalence of gingival recessions, and a higher risk for tooth loss Tonetti in 1998
  • 18. SMOKING…  Tobacco use shifts the physiological balance between anabolic and catabolic mechanisms in a more destructive direction, due to an alteration of protective immune and tissue mechanisms Palmer 2005 johnson and guthmiller in 2007 Ryder in 2007
  • 19. SMOKING…  There is a robust evidence from a systematic review, on basis of 70 cross sectional studies , 14 case-control, and 21 cohort studies , it is concluded that smoking negatively interferes with a healthy periodontal condition Bergstrom in 2006  Periodontitis in smokers respond less to treatment, former smokers get a slower disease progression Bolin et al. 1993
  • 20. METABOLIC RISK FACTORS The reduced function of PMNs increases the risk of periodontal disease in diabetes  Formation of AGEs leads to impaired collagen production and metabolism Schmidt et al in 1996   Infections observed in periodontitis can lead to insulin resistance and poor diabetic control Atkinson and Mclaren in 1990
  • 22.
  • 23. HEMATOLOGICAL RISK FACTORS Chronic myeloid leukamia  Myelodysplasia syndrome  Agranulocytosis  Neutropenia  Defects in the lymphocyte function 
  • 24. GENDER  Disease susceptibility may increased due to hormone related alterations in women in the gingival blood flow(Kovar et al in 1985) in the composition of saliva(Laine on 2002) or the bone metabolism( Lerner in 2006)  Men are found with worse periodontal health(Albandar in 2002: Meisel et al in 2007)
  • 25. AGE The aging process itself is suggested to be an independent risk factor for periodontal diseases Papapanou in 1989  The extent of severity of periodontal diseases are shown to increase with age Albandar in 2002 
  • 26. HUMAN IMMUNO DEFICIENCY VIRUS  Chapple et al in 2000 stated that highly active anti retroviral therapy has limited periodontal disease progression in HIV patients  Treatment with HAART has indicated that seropositivity with HIV doesn’t in itself constitute a serious risk of periodontal disease
  • 27. SOCIOECONOMIC STATUS  Indices for assessing SES have been used ranging from income level to education level  SES may represent a measure of personal drive and motivation, and may impact the quality of oral hygiene habits
  • 28. BACTERIA  Specific bacteria in subgingival plaque 1. Tanerella forsythus 2. Porphyromonas gingivalis 3. Aggregatibacter actinomycetemcomitans
  • 29. ASSESSMENT OF RISK  Patient level risk assessment  Whole mouth risk assessment  The tooth level risk assessment  The site level assessment
  • 30. PATIENT LEVEL RISK ASSESSMENT  Family history- for hereditary/ inborn/ genetic factors  Medical history- systemic diseases  Present dental history  Social history- smoking  Habits- bruxism/tongue thrusting
  • 31. MOUTH LEVEL RISK ASSESSMENT Examination of attachment loss relative to age  Occlusal examination in static relationship  Occlusal examination in dynamic relation ship  Examination of levels oral hygiene  Examination of levels of plaque retentive factors  Presence of removable prosthesis  Gingival tissue quality 
  • 32. TOOTH LEVEL RISK ASSESSMENT Tooth anatomy  Mobility  Tooth support  Furcation lesions  Presence of ledges, anatomy of embrassures  Individual occlusal contacts  Soft tissue contours  Subgingival calculus 
  • 33. SITE LEVEL RISK ASSESSMENT  BOP  Suppuration  Root grooves and concavities  Probing pocket depths  Attachment levels  Other anatomic factors  Enamel pearls
  • 34.
  • 35. TOOLS TO MEASURE RISK FACTORS        PSR INTERACTIVE PATIENT ASSESSMENT TOOL P A T OF OHIS PRC UNIFE HEXAGONAL RISK DIAGRAM FOR PERIODONTAL RISK ASSESSMENT(PRA) PERIODONTAL RISK ASSESSMENT MODEL DEVELOPED BY VISHWA CHANDRA
  • 36. CONT…       SCHUTTE AND DONLEY 1956 PATIENT QUESTIONAIRE H I D E P MODEL CONTINOUS MULTILEVEL RISK ASSESSMENT by LANG AND BRAGGER CRONIN/STASSEN BEDS CHASM SCALE CONTINOUS MULTILEVEL RISK ASSESSMENT MODEL IN 2011 PERIODONTAL RISK ASSESSMENT USING TWO ARTIFICIAL NEURAL NETWORKS
  • 37. PERIODONTAL SCREENING AND RECORDING(PSR) Periodontal Screening and Recording (PSR) is a rapid and effective way to screen patients for periodontal diseases and summarizes necessary information with minimum documentation.  PSR is an adaptation of the Community Periodontal Index of Treatment Needs (CPITN), which is endorsed by WHO and FDI for periodontal screening. 
  • 38. BENEFITS  Early detection  Speed.- appointment time  Simplicity  Cost-effectiveness- probe  Recording ease- sextant  Risk management- documentation
  • 40.
  • 41.
  • 42.
  • 43.
  • 44.
  • 45. UNIFE  In 2009, Trombelli and co-workers proposed a new objective method(UniFe), Union of European Railway Industries, in order to simplify the risk assessment Which is based on 5 parameters Smoking status, diabetic status, no. of sites with PD ≥ 5mm, BOP score and bone loss/age records 
  • 46. Risk assessment according to the UniFe method Trombelli L, Farina R, Ferrari S, Pasetti P, Calura G Comparison between two methods for periodontal risk assessment. Minerva Stomatologica 2009;58:277-287
  • 47.
  • 48. HEXAGONAL RISK DIAGRAM   Lang and Tonetti in 2003 described a functional diagram based on six parameters for use in estimating an individual risk for progression of periodontitis The PRA model consists of an assessment level of infection, the prevalence of residual pockets, tooth loss, an estimation of loss of periodontal support in relation to patients age, an evaluation of systemic and genetic conditions and an evaluation of the environmental/behavioural factor smoking All parameters have their own scale for low, moderate and high risk profiles
  • 49. HEAGONAL RISK DIAGRAM DEVELOPED BY LANG AND TONETTI
  • 50. HEXAGONAL RISK DIAGRAM DEVELOPED BY VISHWA CHANDRA In 2007, Chandra evaluated a novel periodontal risk assessment model based on model by Lang and Tonetti 1. Percentage of sites with BOP 2. No. of sites with PD ≥ 5mm 3. No. of teeth lost 4. Bone loss/age ratio 5. Attachment loss/age ratio 6. Diabetes and smoking 7. Dental status 8. Systemic factors and risk determinants are recorded 
  • 51. Lang and bragger in 1992
  • 52.
  • 53. CONTINOUS MULTILEVEL RISK ASSESSMENT  The risk assessment models uses retrospective and current data to assess the risk and is based on the simple scale of 0-5  A functional diagram was developed depending on the area of the polygon it categorizes to low, medium, high risk categories Sandhya and Sripriya in 2011
  • 55. H I D E P MODEL  Screening and management method called HIDEP (health improvement in dental practice) model which uses predefined risk groups for selecting and managing individual treatment & prevention schemes The HIDEP model--a straightforward dental health care model for prevention based practice management. Sandberg, Hans C. H. Swedish Dental Journal. 2007, Vol. 31 Issue 4, p171-179.
  • 56. CRONIN/STASSEN BEDS CHASM SCALE B -BMI score 2 Four step risk E - EthinicIty score 1.5 assessment D - Diabetic score 2.5 model S - Stressed score 2  Odds ratio helps score 2.5 to standardize risk C - College assessment, H - Hygiene score 2 allowing factors to A - Age 65+ score 3.5 be easily S - Smoker score 1.5 compared with the M - Male score 1.5 standard The total score of 19 indicates the highest risk numerical index 
  • 57. PERIODONTAL RISK ASSESSMENT USING TWO ARTIFICIAL NEURAL NETWORKS  Neural Networks are a different paradigm for computing: Von Neumann machines are based on the processing/memory abstraction of human information processing. Neural networks are based on the parallel architecture of animal brains.
  • 58. PERIODONTAL RISK ASSESSMENT USING TWO ARTIFICIAL NEURAL NETWORKS  Lavenberg Marquardt Algorithm  Scaled Conjugate Gradient Algorithm
  • 59. CONCLUSION “ Measurement, Assessment, Elimination or reducing as many risks as possible will improve disease prevention and treatment outcomes”
  • 60. REFERENCES       American Academy of Periodontology statement on risk assessment. Journal of Periodontology 2008; 79: 202. W. M. Thomson, S. J. Edwards, D. P. Dobson-Le, G. R. Tompkins, R. Poulton, D. A. Knight and A. W. Braithwaite: IL-1 genotype and adult periodontitis among young New Zealanders. J Dent Res. 2001 ;80(8):1700-3 Andreas Siebold, Are you at risk for periodontal disease: interactive patient risk assessment tool: south African Society of Periodontology: 2006 Page R, Krall EA, Martin J, Mancl L, Garcia RI. Validity of Periodontal Assessment Tool® (PAT®) in predicting periodontal disease. Journal of the American Dental Association 2002; 133(5): 569-576 Page R, Martin J, Krall EA, Mancl L, Garcia RI. Longitudinal Validation of risk calculator for periodontal disease. J Clin periodontol 2003; 30(9): 819-27 Trombelli L, Farina R, Ferrari S, Pasetti P, Calura G. Comparison between two methods for periodontal risk assessment. Minerva
  • 61. REFERENCES…        Lang NP, Tonetti MS. Periodontal risk assessment (PRA) for patients in supportive periodontal therapy (SPT). Oral Health Prev Dent. 2003;1:7-16 Chandra RV. Evaluation of a novel periodontal risk assessment model in patients presenting for dental care. Oral Health Prev Dent. 2007;5: 39-48. Uno G H Fors, Sandberg Hans C. H. computer aided risk management- a software tool for the Hidep model: Quintessence Int 2001; 32; 309-320. Sandberg Hans C. H. The HIDEP model-a straightforward dental health care model for prevention based practice management. Swedish Dental Journal. 2007, 31(4), 171-179. Cronin AJ, Claffey N, Stassen LF. Who is at risk? Periodontal disease risk analysis made accessible for the general dental practitioner. Br Dent J. 2008 205(3):131-7 Lang NP, Bragger U, Salvi G, Tonetti MS. Supportive periodontal theraphy. In: LIndhe J, Karring T, Lang NP, editors. Clinical Periodontology and implantology. 4th ed. Oxford: Blackwell Munksgarrd; 2003. pp. 781–805 Rajesh S, Lalit Kumar Mathur, Manju A N, Neema Rai, Aditi Mathur. Periodontitis Risk Assessment using two artificial Neural Networks: Int J of Dent clinics 2010; 2(4): 36-40.