Department of Clinical Medicine, Federal University of Santa Maria, Santa Maria, Brazil.
Department of Clinical Medicine, Medical School, Federal University of Minas Gerais (UFMG), Avenida Professor Alfredo Balena, 190 - sala 246, Belo Horizonte, MG, Brazil.
Arch Osteoporos. 2021 Sep 7;16(1):126. doi: 10.1007/s11657-021-00972-z.
The incidences of total fracture, major fracture, and hip fractures in primary care in Southern Brazil were 22.3, 15.0, and 3.3 per 1000 person/year. The FRAX algorithm showed an adequate discriminatory capacity for the identification of these fractures.
Few studies are evaluating the incidence of fractures in Latin America and Brazil. This study aimed to estimate the incidence of bone fractures in postmenopausal women seen in primary care and evaluate the FRAX algorithm's performance in these women.
A cohort study was carried out in the municipality of Santa Maria, Southern Brazil. Postmenopausal women aged 55 years and over who attended primary health care were included. The recruitment period was from March 1 to August 31, 2013, and the participants were followed for 5 years. The fracture risk was calculated using the FRAX algorithm. The reported incident fractures were confirmed by imaging studies or surgical reports.
Of the 1057 women recruited for the study, 854 were followed. They contributed to 2732 person/year. The mean follow-up time was 3.2 years (SD 1.05). The incidences of total fractures, major fractures, and hip fractures were 22.3, 15.0, and 3.3 per 1000 person/year. The most frequent fracture sites were the wrist, shoulder, and ribs. The fracture predictors were rheumatoid arthritis, previous fracture, and the use of glucocorticoids. The discriminatory capacity of incident fractures calculated by FRAX without the inclusion of BMD was AUC 0.730 (95% CI 0.570, 0.890) for hip fracture and AUC 0.691 (95% CI 0.598, 0.784) for major fractures.
The FRAX algorithm showed an adequate discriminatory capacity to identify incident fractures in primary care in our study. The incidence of fractures found in our study appears to be lower than that reported in North America and Europe.
在巴西南部的初级保健中,总骨折、主要骨折和髋部骨折的发生率分别为 22.3、15.0 和 3.3/1000 人/年。FRAX 算法在识别这些骨折方面具有足够的区分能力。
在拉丁美洲和巴西,评估骨折发生率的研究较少。本研究旨在评估初级保健中绝经后妇女骨折的发生率,并评估 FRAX 算法在这些妇女中的表现。
在巴西南部的圣玛丽亚市进行了一项队列研究。纳入年龄在 55 岁及以上、在初级卫生保健机构就诊的绝经后妇女。招募期为 2013 年 3 月 1 日至 8 月 31 日,参与者随访 5 年。使用 FRAX 算法计算骨折风险。报告的新发骨折通过影像学研究或手术报告确认。
在纳入研究的 1057 名妇女中,有 854 名妇女接受了随访,随访人数为 2732 人/年。平均随访时间为 3.2 年(SD 1.05)。总骨折、主要骨折和髋部骨折的发生率分别为 22.3、15.0 和 3.3/1000 人/年。最常见的骨折部位是腕部、肩部和肋骨。骨折预测因素为类风湿关节炎、既往骨折和糖皮质激素的使用。不包括 BMD 的 FRAX 计算的新发骨折的区分能力为髋部骨折的 AUC 0.730(95%CI 0.570,0.890),主要骨折的 AUC 0.691(95%CI 0.598,0.784)。
在本研究中,FRAX 算法对识别初级保健中的新发骨折具有足够的区分能力。我们研究中发现的骨折发生率似乎低于北美和欧洲的报告发生率。