现代非洲裔和欧裔美国人髋关节骨关节炎患病率的骨科病理状况和全身性疾病的影响。

IF 0.7 4区 社会学 Q3 ANTHROPOLOGY Homo-Journal of Comparative Human Biology Pub Date : 2021-09-28 DOI:10.1127/homo/2021/1329
Aubrie Sanchez, Sean D Tallman, Allysha P Winburn, Joshua Stefanik
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引用次数: 0

摘要

骨关节炎(OA)是老年人致残的主要原因。在美国,许多接受了全髋关节置换术的患者将骨关节炎视为病因。然而,大多数人类学OA研究排除了病理个体(即患有全身性疾病、创伤性损伤或矫形装置的个体)。因此,除了普遍认为植入物和病理状况可能增加OA风险之外,关于它们如何影响OA的了解甚少。本研究通过直接调查骨性关节炎与年龄、疾病和植入物的关系,增加了骨性关节炎的骨骼研究。来自Edmonds骨科病理收藏(国家卫生和医学博物馆;武装部队病理研究所)进行了分析。这些人被分为三组:疾病组;十几;以及之前的损伤/植入。采用Jurmain(1990)的序数评分法将OA变化分为:无/轻微;温和的;严重的;和关节僵硬。OA评分的量表内信度为完美,量表间信度为中等。卡方检验、探索性数据分析和有序逻辑回归的结果显示,骨性关节炎程度、年龄、记录的疾病(如癌症)和既往损伤证据(即骨折愈合、骨折固定装置)之间存在统计学显著关系(p < 0.001)。与预期不同的种群表现出不同的OA模式相反,没有观察到显著的性别或血统影响。这些结果有助于研究人员更好地了解骨关节炎的病因和当代危险因素,并确定可能患骨关节炎风险更高的人群——即骨折、植入物和全身性疾病的个体,特别是那些年龄较大的人群(60岁以上)。
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The effects of orthopedic pathological conditions and systemic diseases on the prevalence of hip osteoarthritis in Modern African- and European-Americans.

Osteoarthritis (OA) is a leading cause of disability among aging adults. In the U.S., many individuals living with total hip replacements attribute OA as the cause. However, the majority of anthropological OA research excludes pathological individuals (i.e., individuals with systemic disease, traumatic injuries, or orthopedic devices). Thus, little is known about how implants and pathological conditions impact OA beyond a general acceptance that they likely increase OA risk. This study adds to the skeletal research surrounding OA by directly investigating its relationship with age, disease, and implants. The proximal femora of 186 African- and European-American individuals (21-95 years old) from the Edmonds Orthopedic Pathology Collection (National Museum of Health and Medicine; Armed Forces Institute of Pathology) were analyzed. The individuals were grouped into three cohorts: disease; non-disease; and previous injury/implant. Jurmain's (1990) ordinal scoring method was used to categorize OA changes as: none/slight; moderate; severe; and ankylosis. Intra-rater reliability for the scoring of OA was perfect, while inter-rater reliability was moderate. Results from Chi-square tests, exploratory data analysis, and ordinal logistic regression showed that there was a statistically significant relationship (p < 0.001) between degree of OA, age, recorded disease (e.g., cancer), and evidence of previous injury (i.e., healed fractures, fracture fixation devices). In contrast with the expectation that different populations exhibit different patterns of OA, no significant sex or ancestry effects were observed. These results help researchers better understand the etiology and contemporary risk factors of OA as well as identifying an additional subset of the population who may be at greater risk for developing OA - i.e., individuals with fractures, implants, and systemic disease, especially those in older age cohorts (60+ years).

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