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Sökning: WFRF:(Børte S.) > Development and val...

Development and validation of a prediction model for incident hand osteoarthritis in the HUNT study

Johnsen, M. B. (författare)
Norwegian University of Science and Technology,Oslo university hospital,University of Oslo
Magnusson, K. (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,National Advisory Unit on Rehabilitation in Rheumatology,Diakonhjemmet Hospital
Børte, S. (författare)
University of Oslo,Norwegian University of Science and Technology,Oslo university hospital
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Gabrielsen, M. E. (författare)
Norwegian University of Science and Technology
Winsvold, B. S. (författare)
Oslo university hospital,Norwegian University of Science and Technology
Skogholt, A. H. (författare)
Norwegian University of Science and Technology
Thomas, L. (författare)
Norwegian University of Science and Technology
Storheim, K. (författare)
Oslo university hospital
Hveem, K. (författare)
Norwegian University of Science and Technology
Zwart, J. A. (författare)
University of Oslo,Oslo university hospital,Norwegian University of Science and Technology
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 (creator_code:org_t)
Elsevier BV, 2020
2020
Engelska 9 s.
Ingår i: Osteoarthritis and Cartilage. - : Elsevier BV. - 1063-4584. ; 28:7, s. 932-940
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Objective: To develop and externally validate prediction models for incident hand osteoarthritis (OA) in a large population-based cohort of middle aged and older men and women. Design: We included 17,153 men and 18,682 women from a population-based cohort, aged 35–70 years at baseline (1995–1997). Incident hand OA were obtained from diagnostic codes in the Norwegian National Patient Register (1995–2018). We studied whether a range of self-reported and clinically measured predictors could predict hand OA, using the Area Under the receiver-operating Curve (AUC) from logistic regression. External validation of an existing prediction model for male hand OA was tested on discrimination in a sample of men. Bootstrapping was used to avoid overfitting. Results: The model for men showed modest discriminatory ability (AUC = 0.67, 95% CI 0.62–0.71). Adding a genetic risk score did not improve prediction. Similar discrimination was observed in the model for women (AUC = 0.62, 95% CI 0.59–0.64). Prediction was not improved by adding a genetic risk score or hormonal and reproductive factors. Applying external validation, similar results were observed among men in HUNT (The Nord-Trøndelag Health Study) as in the developmental sample (AUC = 0.62, 95% CI 0.57–0.65). Conclusion: We developed prediction models for incident hand OA in men and women. For women, the model included body mass index (BMI), heavy physical work, high physical activity and perceived poor health. The model showed moderate discrimination. For men, we have shown that a prediction model including BMI, education and information on sleep can predict incident hand OA in several populations with moderate discriminative ability.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Ortopedi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Orthopaedics (hsv//eng)

Nyckelord

Discrimination
Hand
Osteoarthritis
Prediction
Risk

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