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2010 ACR/EULAR Classification Criteria for Rheumatoid ...

2010 ACR/EULAR Classification Criteria for Rheumatoid ArthritisPublished in the September 2010 Issues of A&Rand ARDP hases of the ProjectPhase 1 Data analysisPhase 2 Consensus processPhase 3 Integration of 1 and 2 Predictors of MTX initiationFinal CriteriaDeterminants of high probability of RAIncrease feasibilityPhase 1 Data Driven ApproachPhase 1: Patients and Methods Patients EARLY ARTHRITIS COHORTS 3115 patientsfrom 9 cohorts Inflammatory arthritis(no other definite diagnosis) of <3 years No previous DMARD/MTX treatment Methods PREDICTORS OF MTX TREATMENT Step 1: Univariate regression analysisof all possible variables Step 2: Principal component analysis: identify themes Step 3: Multivariate regression analysiswith all relevant themesPhase 1: Three Analytic StepsUnivariate Regression Ana

Abnormal CRP or abnormal ESR ... –Formal classification criteria might be a guide to establish a clinical diagnosis. Classification vs. Diagnosis Usually well defined, smaller Classification for studies ... assessment Yes Erosions typical for RA present? Yes ≥1 swollen joint,

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Transcription of 2010 ACR/EULAR Classification Criteria for Rheumatoid ...

1 2010 ACR/EULAR Classification Criteria for Rheumatoid ArthritisPublished in the September 2010 Issues of A&Rand ARDP hases of the ProjectPhase 1 Data analysisPhase 2 Consensus processPhase 3 Integration of 1 and 2 Predictors of MTX initiationFinal CriteriaDeterminants of high probability of RAIncrease feasibilityPhase 1 Data Driven ApproachPhase 1: Patients and Methods Patients EARLY ARTHRITIS COHORTS 3115 patientsfrom 9 cohorts Inflammatory arthritis(no other definite diagnosis) of <3 years No previous DMARD/MTX treatment Methods PREDICTORS OF MTX TREATMENT Step 1: Univariate regression analysisof all possible variables Step 2: Principal component analysis: identify themes Step 3: Multivariate regression analysiswith all relevant themesPhase 1: Three Analytic StepsUnivariate Regression AnalysisIdentify significant variables at baselineGold standard.

2 MTX treatment at one yearSTEP 1 Principal Component AnalysisIdentify sets of variables representing the same theme STEP 2 Multivariate regression AnalysisIdentify independent effects of variables and their relative contribution ( weight )STEP 3 STEPS 1 and 2: Predictors of MTX initiationLoadings on Factors 1%6 Factor No (Eigenvalue)1 ( )2 ( )3 ( )4 ( )5 ( )6 ( )Anit%Citrullinated peptide AB (0,1,2). factor (0,1,2). (0,1,2) (tertiles). (tertiles). (1,2%6,7%28). swelling (yes/no). swelling (yes/no). swelling (yes/no). swelling (yes/no).

3 Joint count (1, 2%6, 7%28). tenderness (yes/no). tenderness (yes/no). tenderness (yes/no). MCP wrist :0 1 STEP 2: Relevant Themes to Predict MTX TreatmentFactorLoading variablesThemeRepresented by1 SJC, MCPSW, MCPSW-Sym MCP involvement MCP swelling2 WristSW, WristTD, WristSW-Sym Wrist involvement Wrist swelling3 TJC, MCPTD, PIPTD Hand/finger tenderness PIP or MCP or wrist tenderness4 CRP, ESR Acute phase response abnormal CRP or abnormal ESR5 PIPSW, PIPTD PIP involvement PIP swelling6 ACPA pos., RF pos. Serology Pos.

4 ACPA or pos. RFVariableComparisonPOR (95% CI)WeightSwollen MCPPres vs. ( to ) PIPPres vs. ( to ) wristPres vs. abs < ( to ) tendernessPres vs. abs < ( to )2 Acute phaseMod. vs. normal ( to )1 High vs. normal ( to )2 SerologyMod. vs. normal < ( to )2 High vs. normal < ( to )4 Phase 1: ResultsPhase 1: Conclusion Swelling of small joint regions(PIP, MCP, wrist) has independent effect Tendernessmight be also be considered as joint involvement Symmetricalinvolvement does notseem to have a significantincremental effect over unilateral involvement abnormal acute phase responsehas a considerable effect Serologyhas a considerable effect.

5 And shows a dose-response relationship of titresPhases of the ProjectPhase 1 Data analysisPhase 2 Consensus processPhase 3 Integration of 1 and 2 Predictors of MTX initiationFinal CriteriaDeterminants of high probability of RAIncrease feasibilityPhase 2 Consensus ApproachPhase 2: Methods Ranking of patient profilesby experts for their probability to develop RA Evidence based discussion on discrepanciesin the ranking Specifyingtarget population Developing positive and negative determinantsfor risk of RA (informed by Phase 1 data) Grouping these determinants into domains and categories Weightingof each category using decision analytic softwarePhase 2: OverviewExpert panelPhase 2.

6 OverviewExpert panelSubmit case scenarios of early undifferentiated inflammatory arthritisRank the case scenarios on probability of developing persistent erosive RAPhase 2: OverviewExpert panelSubmit case scenarios of early undifferentiated inflammatory arthritisRank the case scenarios on probability of developing persistent erosive RASpecify target populationPositive factors+Negative factors3 Discussion on reasons for discordance among physiciansPhase 1 dataPhase 2: OverviewExpert panelSubmit case scenarios of early undifferentiated inflammatory arthritisRank the case scenarios on probability of developing persistent erosive RASpecify target populationPositive factors+Negative factors3 Discussion on reasons for discordance among physiciansPhase 1 dataIdentifying domains and categoriesPhase 2.

7 OverviewExpert panelSubmit case scenarios of early undifferentiated inflammatory arthritisRank the case scenarios on probability of developing persistent erosive RASpecify target populationPositive factors+Negative factors3 Discussion on reasons for discordance among physiciansDeriving weightsTentative CriteriaPhase 1 dataIdentifying domains and categoriesPhase 2: ResultsPhases of the ProjectPhase 1 Data analysisPhase 2 Consensus processPhase 3 Integration of 1 and 2 Predictors of MTX initiationFinal CriteriaDeterminants of high probability of RAIncrease feasibilityPhase 3 Integration of Findingsfrom Phases 1 and 2 Optimizing FeasibilityExact(0%100)Rescaled(0%10)Rou nded (0%10)JOINT INVOLVEMENT1 medium%large 000>1%10 medium%large, >1%10 medium%large, >10, including at least one small (RF or ACPA)0 (<ULN)000+ (ULN to 3xULN) ++ (>3xULN) PHASE REACTANTS (ESR or CRP)

8 DURATION<6 weeks000 6 FeasibilityExact(0%100)Rescaled(0%10)Rounded (0%10)JOINT INVOLVEMENT1 medium%large 000>1%10 medium%large, >1%10 medium%large, >10, including at least one small (RF or ACPA)0 (<ULN)000+ (ULN to 3xULN) ++ (>3xULN) PHASE REACTANTS (ESR or CRP) DURATION<6 weeks000 6 FeasibilityExact(0%100)Rescaled(0%10)Rounded (0%10)JOINT INVOLVEMENT1 medium%large 000>1%10 medium%large, >1%10 medium%large, >10, including at least one small (RF or ACPA)0 (<ULN)000+ (ULN to 3xULN) ++ (>3xULN) PHASE REACTANTS (ESR or CRP) DURATION<6 weeks000 6 CriteriaTarget Population of the CriteriaTwo requirements.

9 (1) Patient with at least one joint with definite clinical synovitis (swelling)(2) Synovitis is not better explained by another disease Differential diagnoses differ in patients with different unclear about the relevant differentials, an expert rheumatologist should be ACR/EULARC lassification Criteria for RAJOINT DISTRIBUTION (0-5)SEROLOGY (0-3)SYMPTOM DURATION (0-1)ACUTE PHASE REACTANTS (0-1)2010 ACR/EULARC lassification Criteria for RAJOINT DISTRIBUTION (0-5)1 large joint02-10 large joints 11-3 small joints (large joints not counted)24-10 small joints (large joints not counted)3>10 joints (at least one small joint)5 SEROLOGY (0-3)SYMPTOM DURATION (0-1)ACUTE PHASE REACTANTS (0-1)2010 ACR/EULARC lassification Criteria for RAJOINT DISTRIBUTION (0-5)1 large joint02-10 large joints 11-3 small joints (large joints not counted)24-10 small joints (large joints not counted)3>10 joints (at least one small joint)5 SEROLOGY (0-3)

10 Negative RF AND negative ACPA0 Low positive RF OR low positive ACPA2 High positive RF OR high positive ACPA3 SYMPTOM DURATION (0-1)ACUTE PHASE REACTANTS (0-1)2010 ACR/EULARC lassification Criteria for RAJOINT DISTRIBUTION (0-5)1 large joint02-10 large joints 11-3 small joints (large joints not counted)24-10 small joints (large joints not counted)3>10 joints (at least one small joint)5 SEROLOGY (0-3)Negative RF AND negative ACPA0 Low positive RF OR low positive ACPA2 High positive RF OR high positive ACPA3 SYMPTOM DURATION (0-1)<6 weeks0 6 weeks1 ACUTE PHASE REACTANTS (0-1)2010 ACR/EULARC lassification Criteria for RAJOINT DISTRIBUTION (0-5)1 large joint02-10 large joints 11-3 small joints (large joints not counted)24-10 small joints (large joints not counted)3>10 joints (at least one small joint)5 SEROLOGY (0-3)Negative RF AND negative ACPA0 Low positive RF OR low positive ACPA2 High positive RF OR high positive ACPA3 SYMPTOM DURATION (0-1)<6 weeks0 6 weeks1 ACUTE PHASE REACTANTS (0-1)


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