Identifying the Phenotypic and Temporal Heterogeneity of Knee Osteoarthritis: Data From the Osteoarthritis Initiative
Autor: | Lan Lan, Mengjiao Li, Xiaolong Li, Jiawei Luo, Xiaobo Zhou, Li Peng |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Oncology
medicine.medical_specialty Knee Joint phenotype Osteoarthritis subtype Temporal heterogeneity Internal medicine Statistical significance medicine Humans trajectories Knee Stage (cooking) Temporal information Original Research business.industry Public Health Environmental and Occupational Health Osteoarthritis Knee medicine.disease Phenotype osteoarthritis Disease Progression Biomarker (medicine) Public Health progression Public aspects of medicine RA1-1270 business |
Zdroj: | Frontiers in Public Health, Vol 9 (2021) Frontiers in Public Health |
ISSN: | 2296-2565 |
Popis: | Objective: Previous studies discussing phenotypic and temporal heterogeneity of knee osteoarthritis (KOA) separately have fatal limitations that either clustering patients with similar severity or assuming all knees have a single common progression pattern, which are unreliable. This study tried to uncover more reliable information on phenotypic and temporal heterogeneity of KOA.Design: Data were from Osteoarthritis Initiative database. Six hundred and seventy-eight unilateral knees that have greater Kellgren and Lawrence (KL) grade than the contralateral knees at baseline and in all follow-up 48 months were included. Measurements of biomarkers at baseline were chosen. Subtype and Stage Inference model (SuStaIn) was applied as a subtype-progression model to identify subtypes, subtype biomarker progress sequences and stages of KOA.Results: This study identified three subtypes which account for 15, 61, and 24% of knees, respectively. Each subtype has distinct subtype biomarker progress sequence. For knees with KL grade 0/1, 2, 3, and 4, they have different distributions on stage and 26, 53, 89, and 95% of them are strongly assigned to subtypes. When assessing whether a knee has KL (grade ≥ 2), subtypes and stages from subtypes-progression model (SuStaIn) are significantly better fitting than those from subtypes-only (mixture of Gaussians) (likelihood ratio = 105.59, p = 2.2 × 10−16) or stages-only (SuStaIn where setting c = 1) (likelihood ratio = 58.04, p = 2.57 × 10−14) model. Stages in subtypes-progression model has greater β than stages-only model. Subtypes from subtypes-progression model have no statistical significance.Conclusions: For subtypes-progression model, stages contain more complete temporal information and subtypes are closer to real OA subtypes. |
Databáze: | OpenAIRE |
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