MEDICAL QUIZ

Year : 2022  |  Volume : 12  |  Issue : 1  |  Page : 48

Medical quiz

Correspondence Address:

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/2278-8239.343436

1. Which of these is not a feature of Lofgren’s syndrome?
   1. Erythema nodosum
   2. Uveitis
   3. Arthritis
   4. Hilar lymphadenopathy
   
   
   
2. Retinal vasculitis is most often a feature of-
   1. Takayasu arteritis
   2. Giant cell arteritis
   3. Sarcoidosis
   4. Behcet’s disease
   
   
   
3. What is VEXAS Syndrome?



4. Speed’s and Fergusson ‘s tests are described for?



5. Meltzer’s triad?



6. Muscles of Rotator cuff?



7. Myositis Antibodies associated with malignancy-
   1. Anti-MDA5
   2. Anti-TIF1Gamma
   3. Anti-SRP
   4. Anti-NXP2



8. GAVE is associated with which SSc-antibody-
   1. Anti-centromere
   2. Anti-topoisomerase I
   3. Anti-fibrillarin
   4. Anti-RNA poly III



9. Asymptomatic uveitis is seen in-
   1. Ankylosing spondylitis
   2. Psoriatic arthritis
   3. Juvenile idiopathic arthritis
   4. Rheumatoid arthritis



10. What is VEDOSS criteria?



11. What is DETECT algorithm?

1. Uveitis



2. Behcet’s disease and sarcoidosis



3. VEXAS syndrome (vacuoles, E1 enzyme, X-linked, autoinflammatory, somatic) is a monogenic disease of adulthood caused by somatic mutations in UBA1 in hematopoietic progenitor cells



4. Bicipital tendinitis



5. Meltzer’s triad for cryoglobulinemic vasculitis-palpable purpura, arthralgia, weakness



6. Rotator cuff muscles-Supra-spinatous, infra-spinatous, Subscapularis and teres minor



7. Anti-TIF1gamma



8. Anti-RNA polymerase III



9. Oligo-articular JIA



10. Very early diagnosis of SSc (VEDOSS) that are represented by the presence of the three red flags (Raynaud’s phenomenon, puffy fingers and ANA positivity) plus disease-specific autoantibodies (anticentromere Ab or anti-topo I Ab (Scl70) or microvascular alterations detected by nailfold video-capillaroscopy.



11. The DETECT algorithm for PAH detection in SSc is a sensitive and non-invasive tool which minimises missed diagnoses and can identify milder disease. Some parameters such as FVC/DLCO, telangiectasias, Anti-Centromere Ab, NTproBNP, right axis deviation on ECG, serum urate and several echocardiography variables were used for PAH detection. The datas were combined to provide a 6 simple assessment in Step 1 of the algorithm to determine referral to echocardiography and then, after adding two echocardiographic variables, to determine referral to RHC (Coghlan et al, 2013).