Johnson Alisa J, Vasilopoulos Terrie, Booker Staja Q, Cardoso Josue, Terry Ellen L, Powell-Roach Keesha, Staud Roland, Kusko Daniel A, Addison Adriana S, Redden David T, Goodin Burel R, Fillingim Roger B, Sibille Kimberly T
Pain Research and Intervention Center of Excellence (PRICE), University of Florida, Gainesville, FL, USA.
Department of Community Dentistry & Behavioral Science, College of Dentistry, University of Florida, PO Box 100242, Gainesville, FL, 32610, USA.
BMC Musculoskelet Disord. 2021 May 5;22(1):415. doi: 10.1186/s12891-021-04284-8.
Pain is the hallmark symptom of knee osteoarthritis (OA), and varies widely across individuals. Previous research has demonstrated both fluctuating and stable pain trajectories in knee OA using various time periods. Changes in pain assessed quarterly (i.e. 3-month intervals) in knee OA are relatively unknown. The current study aimed to investigate temporal variations in pain over a one and a half year period (18 months) based on quarterly characteristic pain assessments, and to examine differences in pain patterns by sociodemographic and baseline pain characteristics.
The sample included a prospective cohort of 188 participants (mean age 58 years; 63% female; 52% non-Hispanic Black) with or at risk for knee OA from an ongoing multisite investigation of ethnic/race group differences. Knee pain intensity was self-reported at baseline and quarterly over an18-month period. Baseline pain assessment also included frequency, duration, and total number of pain sites. Group-based trajectory modeling was used to identify distinct pain trajectories. Multinomial logistic regression was used to examine associations between sociodemographic characteristics, risk factors, and pain trajectory groups.
Pain trajectories were relatively stable among a sample of adults with knee pain. Four distinct pain trajectories emerged in the overall sample, with the largest proportion of participants (35.1%) classified in the moderate-high pain group. There were significant relationships between age, education, income, ethnicity/race and trajectory group; with younger, less educated, lower income, and non-Hispanic Black participants had a greater representation in the highest pain trajectory group.
Pain remained stable across a one and a half-year period in adults with or at risk for knee osteoarthritis, based on quarterly assessments. Certain sociodemographic variables (e.g. ethnicity/race, education, income, age) may contribute to an increased risk of experiencing greater pain.
疼痛是膝关节骨关节炎（OA）的标志性症状，且个体差异很大。以往研究使用不同时间段证明了膝关节OA患者的疼痛轨迹既有波动的，也有稳定的。膝关节OA患者每季度（即3个月间隔）疼痛的变化情况相对未知。本研究旨在基于每季度的特征性疼痛评估，调查1.5年（18个月）期间疼痛的时间变化，并按社会人口统计学和基线疼痛特征检查疼痛模式的差异。
样本包括来自一项正在进行的关于种族/族裔群体差异的多中心调查的188名有膝关节OA或有膝关节OA风险的参与者的前瞻性队列（平均年龄58岁；63%为女性；52%为非西班牙裔黑人）。在18个月期间，参与者在基线时和每季度自行报告膝关节疼痛强度。基线疼痛评估还包括疼痛部位的频率、持续时间和总数。基于组的轨迹模型用于识别不同的疼痛轨迹。多项逻辑回归用于检查社会人口统计学特征、风险因素与疼痛轨迹组之间的关联。
在膝关节疼痛的成年人样本中，疼痛轨迹相对稳定。总体样本中出现了四种不同的疼痛轨迹，最大比例的参与者（35.1%）被归类为中度至高度疼痛组。年龄、教育程度、收入、种族/族裔与轨迹组之间存在显著关系；年龄较小、受教育程度较低、收入较低以及非西班牙裔黑人参与者在最高疼痛轨迹组中的比例更高。
根据每季度的评估，有膝关节骨关节炎或有膝关节骨关节炎风险的成年人在1.5年期间疼痛保持稳定。某些社会人口统计学变量（如种族/族裔、教育程度、收入、年龄）可能会增加经历更严重疼痛的风险。
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