Literature DB >> 31126956

Anti-Ku syndrome with elevated CK and anti-Ku syndrome with anti-dsDNA are two distinct entities with different outcomes.

Lionel Spielmann1, Benoit Nespola2, François Séverac3,4, Emmanuel Andres5, Romain Kessler6, Aurélien Guffroy7,8,9, Vincent Poindron7,8, Thierry Martin7,8,9, Bernard Geny9,10, Jean Sibilia8,9,11, Alain Meyer8,9,10,11.   

Abstract

OBJECTIVE: To refine the spectrum of anti-Ku-associated disease, a condition that is equivocally described by current diagnostic criteria for connective tissue diseases.
METHODS: Among 42 consecutive patients harbouring anti-Ku antibodies, subgroups with similar phenotypes and prognosis were delineated without an a priori diagnosis using hierarchical clustering analysis of the cumulative clinico-biological features recorded during the follow-up. Features present at baseline that most efficiently predicted the outcomes were then identified using a sensitivity-specificity sum maximisation approach.
RESULTS: Clinico-biological features were clustered into three groups. Glomerulonephritis and ILD, the two fatal complications in this cohort, were unequally distributed between the three clusters that additionally differed on six clinico-biological features.Among features present at baseline, elevated serum level of creatine kinase (CK) and anti-dsDNA antibodies were generally mutually exclusive and most efficiently predicted the cluster belonging at last follow-up. Anti-Ku patients with elevated CK had a 22-fold higher risk of ILD while anti-Ku patients with anti-dsDNA antibodies had a 13-fold higher risk of glomerulonephritis
CONCLUSION: "Anti-Ku with elevated CK" syndrome and "anti-Ku with anti-dsDNA" syndrome represent two distinct entities that are important to recognise in order to best tailor patient care. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  Anti-Ku antibodies; Antisynthetase; Classification; Dermatomyositis; Inflammatory myopathies; Inflammatory myopathy; Inflammatory skeletal muscle; Interstitial lung disease; Mixed connective tissue disease; Myositis; Necrotizing myopathy; Polymyositis; Systemic lupus erythematosus; Systemic sclerosis; Undifferentiated connective tissue disease; autoantibodies; autoimmune diseases; autoimmunity; necrotizing myopathies; scleroderma

Mesh:

Substances:

Year:  2019        PMID: 31126956     DOI: 10.1136/annrheumdis-2018-214439

Source DB:  PubMed          Journal:  Ann Rheum Dis        ISSN: 0003-4967            Impact factor:   19.103


  9 in total

Review 1.  The Ku complex: recent advances and emerging roles outside of non-homologous end-joining.

Authors:  Sanna Abbasi; Gursimran Parmar; Rachel D Kelly; Nileeka Balasuriya; Caroline Schild-Poulter
Journal:  Cell Mol Life Sci       Date:  2021-04-15       Impact factor: 9.261

Review 2.  Machine Learning in Rheumatic Diseases.

Authors:  Mengdi Jiang; Yueting Li; Chendan Jiang; Lidan Zhao; Xuan Zhang; Peter E Lipsky
Journal:  Clin Rev Allergy Immunol       Date:  2021-02       Impact factor: 8.667

3.  The clinicoserological spectrum of inflammatory myopathy in the context of systemic sclerosis and systemic lupus erythematosus.

Authors:  John D Pauling; Sarah Skeoch; Julie J Paik
Journal:  Indian J Rheumatol       Date:  2021-01-18

4.  Autoantibodies as biomarkers for interstitial lung disease in idiopathic inflammatory myositis and systemic sclerosis: The case of anti-eIF2B antibodies.

Authors:  Angela Ceribelli; Natasa Isailovic; Maria De Santis; Carolina Gorlino; Minoru Satoh; Carlo Selmi
Journal:  J Transl Autoimmun       Date:  2020-03-31

Review 5.  An introduction to machine learning and analysis of its use in rheumatic diseases.

Authors:  Kathryn M Kingsmore; Christopher E Puglisi; Amrie C Grammer; Peter E Lipsky
Journal:  Nat Rev Rheumatol       Date:  2021-11-02       Impact factor: 20.543

Review 6.  Big data analyses and individual health profiling in the arena of rheumatic and musculoskeletal diseases (RMDs).

Authors:  Diederik De Cock; Elena Myasoedova; Daniel Aletaha; Paul Studenic
Journal:  Ther Adv Musculoskelet Dis       Date:  2022-06-30       Impact factor: 3.625

7.  The phenotype of myositis patients with anti-Ku autoantibodies.

Authors:  Maria Casal-Dominguez; Iago Pinal-Fernandez; Assia Derfoul; Rose Graf; Harlan Michelle; Jemima Albayda; Eleni Tiniakou; Brittany Adler; Sonye K Danoff; Thomas E Lloyd; Lisa Christoper-Stine; Julie J Paik; Andrew L Mammen
Journal:  Semin Arthritis Rheum       Date:  2021-04-28       Impact factor: 5.431

8.  Predictive Features and Clinical Presentation of Interstitial Lung Disease in Inflammatory Myositis.

Authors:  Tamara Vojinovic; Ilaria Cavazzana; Paolo Ceruti; Micaela Fredi; Denise Modina; Marialma Berlendis; Franco Franceschini
Journal:  Clin Rev Allergy Immunol       Date:  2020-11-03       Impact factor: 8.667

9.  Chest pain in a mid-aged woman, not simply myopericarditis: a case report of anti-Ku positive polymyositis.

Authors:  Weiping Tan; Bin Dong; Jincui Gu; Yang Peng; Ruicong Xue
Journal:  BMC Cardiovasc Disord       Date:  2021-08-06       Impact factor: 2.298

  9 in total

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