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  • Choi, May YeeCumming School of Medicine (author)

Machine learning identifies clusters of longitudinal autoantibody profiles predictive of systemic lupus erythematosus disease outcomes

  • Article/chapterEnglish2023

Publisher, publication year, extent ...

  • 2023
  • 10 s.

Numbers

  • LIBRIS-ID:oai:lup.lub.lu.se:54171058-1762-4ca6-a39e-031934bebb81
  • https://lup.lub.lu.se/record/54171058-1762-4ca6-a39e-031934bebb81URI
  • https://doi.org/10.1136/ard-2022-223808DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • Objectives A novel longitudinal clustering technique was applied to comprehensive autoantibody data from a large, well-characterised, multinational inception systemic lupus erythematosus (SLE) cohort to determine profiles predictive of clinical outcomes. Methods Demographic, clinical and serological data from 805 patients with SLE obtained within 15 months of diagnosis and at 3-year and 5-year follow-up were included. For each visit, sera were assessed for 29 antinuclear antibodies (ANA) immunofluorescence patterns and 20 autoantibodies. K-means clustering on principal component analysis-transformed longitudinal autoantibody profiles identified discrete phenotypic clusters. One-way analysis of variance compared cluster enrolment demographics and clinical outcomes at 10-year follow-up. Cox proportional hazards model estimated the HR for survival adjusting for age of disease onset. Results Cluster 1 (n=137, high frequency of anti-Smith, anti-U1RNP, AC-5 (large nuclear speckled pattern) and high ANA titres) had the highest cumulative disease activity and immunosuppressants/biologics use at year 10. Cluster 2 (n=376, low anti-double stranded DNA (dsDNA) and ANA titres) had the lowest disease activity, frequency of lupus nephritis and immunosuppressants/biologics use. Cluster 3 (n=80, highest frequency of all five antiphospholipid antibodies) had the highest frequency of seizures and hypocomplementaemia. Cluster 4 (n=212) also had high disease activity and was characterised by multiple autoantibody reactivity including to antihistone, anti-dsDNA, antiribosomal P, anti-Sjögren syndrome antigen A or Ro60, anti-Sjögren syndrome antigen B or La, anti-Ro52/Tripartite Motif Protein 21, antiproliferating cell nuclear antigen and anticentromere B). Clusters 1 (adjusted HR 2.60 (95% CI 1.12 to 6.05), p=0.03) and 3 (adjusted HR 2.87 (95% CI 1.22 to 6.74), p=0.02) had lower survival compared with cluster 2. Conclusion Four discrete SLE patient longitudinal autoantibody clusters were predictive of long-term disease activity, organ involvement, treatment requirements and mortality risk.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Chen, IreneMassachusetts Institute of Technology (author)
  • Clarke, Ann ElaineCumming School of Medicine (author)
  • Fritzler, Marvin J.Cumming School of Medicine (author)
  • Buhler, Katherine A.Cumming School of Medicine (author)
  • Urowitz, MurrayUniversity of Toronto (author)
  • Hanly, JohnDalhousie University (author)
  • St-Pierre, YvanMcGill University Health Center (author)
  • Gordon, Caroline (author)
  • Bae, Sang CheolHanyang University Hospital for Rheumatic Disease (author)
  • Romero-Diaz, Juanita (author)
  • Sanchez-Guerrero, JorgeUniversity of Toronto (author)
  • Bernatsky, SashaMcGill University Health Center (author)
  • Wallace, Daniel J.University of California, Los Angeles (author)
  • Isenberg, David AlanUniversity College London (author)
  • Rahman, AnisurUniversity College London (author)
  • Merrill, Joan T.Oklahoma Medical Research Foundation (author)
  • Fortin, Paul R.Centre hospitalier universitaire de Québec (author)
  • Gladman, Dafna D.University of Toronto (author)
  • Bruce, Ian N.University of Manchester (author)
  • Petri, MichelleJohns Hopkins University School of Medicine (author)
  • Ginzler, Ellen M.SUNY Downstate Health Sciences University (author)
  • Dooley, Mary AnneUniversity of North Carolina (author)
  • Ramsey-Goldman, RosalindNorthwestern University Feinberg School of Medicine (author)
  • Manzi, SusanAllegheny Health Network (author)
  • Jönsen, AndreasLund University,Lunds universitet,Reumatologi och molekylär skelettbiologi,Sektion III,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Lund SLE Research Group,Forskargrupper vid Lunds universitet,Rheumatology,Section III,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund University Research Groups(Swepub:lu)reum-ajo (author)
  • Alarcón, Graciela S.University of Alabama (author)
  • Van Vollenhoven, Ronald F.Academic Medical Center of University of Amsterdam (AMC) (author)
  • Aranow, CynthiaFeinstein Institute for Medical Research (author)
  • Mackay, MegganFeinstein Institute for Medical Research (author)
  • Ruiz-Irastorza, Guillermo (author)
  • Lim, SamEmory University (author)
  • Inanc, Murat (author)
  • Kalunian, KennethUniversity of California, San Diego (author)
  • Jacobsen, SørenCopenhagen University Hospital (author)
  • Peschken, ChristineUniversity of Manitoba (author)
  • Kamen, Diane L.Medical University of South Carolina (author)
  • Askanase, Anca (author)
  • Buyon, Jill P. (author)
  • Sontag, DavidMassachusetts Institute of Technology (author)
  • Costenbader, Karen H.Brigham and Women's Hospital / Harvard Medical School,Harvard Medical School (author)
  • Cumming School of MedicineMassachusetts Institute of Technology (creator_code:org_t)

Related titles

  • In:Annals of the Rheumatic Diseases82:7, s. 927-9360003-4967

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