Activity Number:
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436
- SPEED: Tests, Trials, Biomarkers, and Other Topics in Biometrics
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2018 : 3:05 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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Abstract #332737
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Title:
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Using Logistical Regression to Build a Better Diathesis Model of Dupuytren's Contracture Recurrence
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Author(s):
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Brian Cohen*
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Companies:
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ACI Clinical
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Keywords:
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logistic regression;
Model testing;
Dupuytren's contracture
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Abstract:
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Heuston (1960) proposes a model where four subject-level characteristics are predictive of recurrence of Dupuytren's contracture, known as the diathesis model. Hindocha (2006) did a retrospective study testing Heuston's theory to predict recurrence of Dupuytren's contracture after fasciotomy surgery. The current research involves retesting Hindocha's findings after treatment with Xiaflex, a biological infection for Dupuytren's contractures. The current prospective research program offers several methodological advantages over Hindocha's retrospective study. Results show that the variables in the current research project provide a stronger prediction of recurrence than the same variables in the Hindocha study. Results also show that the combination of Hindocha's factors in the current study provides a better prediction of recurrence than Hindocha's results. Finally using logistic regression, five different factors were chosen that when they occur together predict recurrence over 80% of the time, a rate much higher than using Hindocha's factors. This new diathesis model of recurrence can aid clinicians in their prognosis of long-term success of Dupuytren's treatment.
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Authors who are presenting talks have a * after their name.
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