Table 3.

Multivariable logistic regression

(A) Factors associated with PsA diagnosis
Analysis including ‘drop-out’ patientsa
Analysis NOT including ‘drop-out’ patientsb
OR95% CIPOR95% CIP
Gender2.0230.999–4.0910.0502.0651.009–4.2280.047
 Female vs male
Previous b/tsDMARDs use0.2640.104–0.6740.0050.2560.100–0.6590.005
 Present vs absent
(A) Factors associated with PsA diagnosis
Analysis including ‘drop-out’ patientsa
Analysis NOT including ‘drop-out’ patientsb
OR95% CIPOR95% CIP
Gender2.0230.999–4.0910.0502.0651.009–4.2280.047
 Female vs male
Previous b/tsDMARDs use0.2640.104–0.6740.0050.2560.100–0.6590.005
 Present vs absent
(B) Factors associated with axPsA final diagnosis
OR95% CIP|OR95% CIP
Gender2.0300.880–4.6820.0972.0340.875–4.7280.099
 Female vs male
Onychopathy2.9661.139–7.7230.0263.0241.156–7.9120.024
 Present vs absent
Pso duration (years)0.9710.943–1.0020.0680.9730.943–1.0030.078
(B) Factors associated with axPsA final diagnosis
OR95% CIP|OR95% CIP
Gender2.0300.880–4.6820.0972.0340.875–4.7280.099
 Female vs male
Onychopathy2.9661.139–7.7230.0263.0241.156–7.9120.024
 Present vs absent
Pso duration (years)0.9710.943–1.0020.0680.9730.943–1.0030.078
(C) Factors associated with pPsA final diagnosis
OR95% CIPOR95% CIP
Gender2.2361.059–4.7220.0352.2861.072–4.8760.035
 Female vs male
Previous b/tsDMARDs use0.3490.135–0.9010.0300.3420.132–0.8910.028
 Present vs absent
(C) Factors associated with pPsA final diagnosis
OR95% CIPOR95% CIP
Gender2.2361.059–4.7220.0352.2861.072–4.8760.035
 Female vs male
Previous b/tsDMARDs use0.3490.135–0.9010.0300.3420.132–0.8910.028
 Present vs absent

A backward stepwise logistic regression was conducted to identify potential predictors of the outcomes from a poll of candidate variables, including gender, age, BMI, active smoking habit, PASI, duration of skin psoriasis, presence of nail disease and previous biologic use. At each step, variables were removed based on P-values, with a threshold of 0.01 used to determine the final set of variables in the model. The table displays the results of two logistic regression analyses:

a

one including eligible patients who declined the rheumatological evaluation (on the left), and

b

one excluding this group (on the right). In the first analysis, the ‘drop-out’ patients were classified as having psoriasis without a diagnosis of PsA. Results are shown as follows: (A) probability of being diagnosed with PsA, (B) probability of being diagnosed with axPsA and (C) probability of being diagnosed with pPsA, for the patients enrolled in the ATTRACT (Axial psoriaTic arThritis scReening AnCona iTaly) study. The P-value was considered significant if <0.05, and significant P-values are shown in bold. Statistical analyses were conducted using ‘Stata’ software. OR: odds ratio; axPsA: axial PsA; pPsA: peripheral PsA; Pso: psoriasis; b/tsDMARDs: biologic and/or targeted synthetic DMARDs.

Table 3.

Multivariable logistic regression

(A) Factors associated with PsA diagnosis
Analysis including ‘drop-out’ patientsa
Analysis NOT including ‘drop-out’ patientsb
OR95% CIPOR95% CIP
Gender2.0230.999–4.0910.0502.0651.009–4.2280.047
 Female vs male
Previous b/tsDMARDs use0.2640.104–0.6740.0050.2560.100–0.6590.005
 Present vs absent
(A) Factors associated with PsA diagnosis
Analysis including ‘drop-out’ patientsa
Analysis NOT including ‘drop-out’ patientsb
OR95% CIPOR95% CIP
Gender2.0230.999–4.0910.0502.0651.009–4.2280.047
 Female vs male
Previous b/tsDMARDs use0.2640.104–0.6740.0050.2560.100–0.6590.005
 Present vs absent
(B) Factors associated with axPsA final diagnosis
OR95% CIP|OR95% CIP
Gender2.0300.880–4.6820.0972.0340.875–4.7280.099
 Female vs male
Onychopathy2.9661.139–7.7230.0263.0241.156–7.9120.024
 Present vs absent
Pso duration (years)0.9710.943–1.0020.0680.9730.943–1.0030.078
(B) Factors associated with axPsA final diagnosis
OR95% CIP|OR95% CIP
Gender2.0300.880–4.6820.0972.0340.875–4.7280.099
 Female vs male
Onychopathy2.9661.139–7.7230.0263.0241.156–7.9120.024
 Present vs absent
Pso duration (years)0.9710.943–1.0020.0680.9730.943–1.0030.078
(C) Factors associated with pPsA final diagnosis
OR95% CIPOR95% CIP
Gender2.2361.059–4.7220.0352.2861.072–4.8760.035
 Female vs male
Previous b/tsDMARDs use0.3490.135–0.9010.0300.3420.132–0.8910.028
 Present vs absent
(C) Factors associated with pPsA final diagnosis
OR95% CIPOR95% CIP
Gender2.2361.059–4.7220.0352.2861.072–4.8760.035
 Female vs male
Previous b/tsDMARDs use0.3490.135–0.9010.0300.3420.132–0.8910.028
 Present vs absent

A backward stepwise logistic regression was conducted to identify potential predictors of the outcomes from a poll of candidate variables, including gender, age, BMI, active smoking habit, PASI, duration of skin psoriasis, presence of nail disease and previous biologic use. At each step, variables were removed based on P-values, with a threshold of 0.01 used to determine the final set of variables in the model. The table displays the results of two logistic regression analyses:

a

one including eligible patients who declined the rheumatological evaluation (on the left), and

b

one excluding this group (on the right). In the first analysis, the ‘drop-out’ patients were classified as having psoriasis without a diagnosis of PsA. Results are shown as follows: (A) probability of being diagnosed with PsA, (B) probability of being diagnosed with axPsA and (C) probability of being diagnosed with pPsA, for the patients enrolled in the ATTRACT (Axial psoriaTic arThritis scReening AnCona iTaly) study. The P-value was considered significant if <0.05, and significant P-values are shown in bold. Statistical analyses were conducted using ‘Stata’ software. OR: odds ratio; axPsA: axial PsA; pPsA: peripheral PsA; Pso: psoriasis; b/tsDMARDs: biologic and/or targeted synthetic DMARDs.

Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close