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Anti-Ku syndrome with elevated CK and anti-Ku syndrome with anti-dsDNA are two distinct entities with different outcomes.
Spielmann, Lionel; Nespola, Benoit; Séverac, François; Andres, Emmanuel; Kessler, Romain; Guffroy, Aurélien; Poindron, Vincent; Martin, Thierry; Geny, Bernard; Sibilia, Jean; Meyer, Alain.
Afiliación
  • Spielmann L; Service de Rhumatologie, hôpitaux civils de Colmar, Colmar, France lionel.spielmann@ch-colmar.fr.
  • Nespola B; Laboratoire d'immunologie, hôpitaux universitaires de Strasbourg, Strasbourg, France.
  • Séverac F; Service de Santé Publique, GMRC, hôpitaux universitaires de Strasbourg, Strasbourg, France.
  • Andres E; ICube, UMR 7357, université de Strasbourg, Strasbourg, France.
  • Kessler R; Service de médecine interne, hôpitaux universitaires de Strasbourg, Strasbourg, France.
  • Guffroy A; Service de pneumologie, hôpitaux universitaires de Strasbourg, Strasbourg, France.
  • Poindron V; Service d'immunologie clinique, hôpitaux universitaires de Strasbourg, Strasbourg, France.
  • Martin T; Centre de référence national des maladies auto-immunes rares, Strasbourg, France.
  • Geny B; Fédération de médecine translationnelle de Strasbourg, FRU 6702, université de Strasbourg, Strasbourg, France.
  • Sibilia J; Service d'immunologie clinique, hôpitaux universitaires de Strasbourg, Strasbourg, France.
  • Meyer A; Centre de référence national des maladies auto-immunes rares, Strasbourg, France.
Ann Rheum Dis ; 78(8): 1101-1106, 2019 08.
Article en En | MEDLINE | ID: mdl-31126956
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Autoanticuerpos / Enfermedades Autoinmunes / Enfermedades Pulmonares Intersticiales / Artralgia / Creatina Quinasa / Glomerulonefritis Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: Ann Rheum Dis Año: 2019 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Autoanticuerpos / Enfermedades Autoinmunes / Enfermedades Pulmonares Intersticiales / Artralgia / Creatina Quinasa / Glomerulonefritis Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: Ann Rheum Dis Año: 2019 Tipo del documento: Article País de afiliación: Francia