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Sökning: WFRF:(Prieto Alhambra Daniel) > (2023) > Classification of p...

Classification of patients with osteoarthritis through clusters of comorbidities using 633,330 individuals from Spain

Pineda-Moncusí, Marta (författare)
University of Oxford
Dernie, Francesco (författare)
University of Oxford
Dell'Isola, Andrea (författare)
Lund University,Lunds universitet,Ortopedi, Lund,Sektion III,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Orthopaedics (Lund),Section III,Department of Clinical Sciences, Lund,Faculty of Medicine
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Kamps, Anne (författare)
Erasmus University Medical Center
Runhaar, Jos (författare)
Erasmus University Medical Center
Swain, Subhashisa (författare)
University of Oxford
Zhang, Weiya (författare)
University of Nottingham
Englund, Martin (författare)
Lund University,Lunds universitet,Ortopedi, Lund,Sektion III,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Lund OsteoArthritis Division - Clinical Epidemiology Unit,Forskargrupper vid Lunds universitet,Orthopaedics (Lund),Section III,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund University Research Groups
Pitsillidou, Irene (författare)
EULAR Patient Research Partner (PRP)
Strauss, Victoria Y (författare)
University of Oxford
Robinson, Danielle E (författare)
Prieto-Alhambra, Daniel (författare)
Khalid, Sara (författare)
University of Oxford
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 (creator_code:org_t)
2023-01-23
2023
Engelska.
Ingår i: Rheumatology (Oxford, England). - : Oxford University Press (OUP). - 1462-0332. ; 62:11, s. 3592-3600
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • OBJECTIVES: To explore clustering of comorbidities among patients with a new diagnosis of osteoarthritis (OA) and estimate the 10-year mortality risk for each identified cluster.METHODS: This is a population-based cohort study of individuals with first incident diagnosis of OA of the hip, knee, ankle/foot, wrist/hand, or 'unspecified' site between 2006 and 2020, using SIDIAP (a primary care database representative from Catalonia, Spain). At the time of OA diagnosis, conditions associated with OA in the literature that were found in ≥ 1% of the individuals (n = 35) were fitted into two cluster algorithms, K-means and latent class analysis (LCA). Models were assessed using a range of internal and external criteria evaluation procedures. Mortality risk of the obtained clusters was assessed by survival analysis using Cox proportional hazards.RESULTS: We identified 633 330 patients with a diagnosis of OA. Our proposed best solution used LCA to identify four clusters: 'Low-morbidity (relatively low number of comorbidities), 'Back/neck pain plus mental health', 'Metabolic syndrome' and 'Multimorbidity' (higher prevalence of all study comorbidities). Compared with the 'Low-morbidity, the 'Multimorbidity' cluster had the highest risk of 10-year mortality (adjusted HR: 2.19 [95%CI: 2.15-2.23]), followed by 'Metabolic syndrome' (adjusted HR: 1.24 [95%CI: 1.22-1.27]]) and 'Back/neck pain plus mental health' (adjusted HR: 1.12 [95%CI: 1.09-1.15]).CONCLUSION: Patients with a new diagnosis of OA can be clustered into groups based on their comorbidity profile, with significant differences in 10-year mortality risk. Further research is required to understand the interplay between OA and particular comorbidity groups, and the clinical significance of such results.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Ortopedi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Orthopaedics (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Reumatologi och inflammation (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Rheumatology and Autoimmunity (hsv//eng)

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