FRQ与MFS在绝经后骨质疏松症人群中的应用

盛静馨; 梁冰; 王涛; 钱荣; 赵萍

doi:10.16766/j.cnki.issn.1674-4152.003501

FRQ与MFS在绝经后骨质疏松症人群中的应用

doi: 10.16766/j.cnki.issn.1674-4152.003501

盛静馨¹,
梁冰^1, ,,
王涛²,
钱荣³,
赵萍²

1.
蚌埠医科大学第一附属医院全科医学科，安徽蚌埠 233004
2.
蚌埠医科大学第一附属医院风湿免疫科，安徽蚌埠 233004
3.
蚌埠医科大学护理学院，安徽蚌埠 233030

基金项目:

安徽高校人文社会科学重点研究项目 SK2019A0179

安徽高校人文社会科学重点研究项目 SK2019A0188

蚌埠医学院自然科学研究重点项目 2020byzd138

详细信息

通讯作者:
梁冰，E-mail：407281726@qq.com

中图分类号: R681 R589
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- 被引次数: 0
出版历程
- 收稿日期: 2023-07-16

Application of the FRQ and MFS in assessing the fall risk in postmenopausal osteoporosis

1.
Department of General Practice, the First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui 233004, China

摘要

摘要: 目的比较跌倒风险自评表(FRQ)与Morse跌倒评估量表(MFS)在绝经后骨质疏松症(PMOP)人群中的应用价值，为该人群跌倒风险评估工具的选择提供参考。方法采用便利抽样法纳入2020年9月—2022年1月于蚌埠医科大学第一附属医院体检或就诊的193例PMOP患者作为研究对象，使用FRQ和MFS进行跌倒风险评估。根据随访期间是否跌倒分为跌倒组(32例)和未跌倒组(161例)，通过ROC曲线、灵敏度、特异度及Bayes判别分析评价量表。结果跌倒组FRQ和MFS量表得分均高于未跌倒组，差异有统计学意义(P<0.001)；FRQ、MFS的AUC分别为0.865和0.737，差异有统计学意义(P=0.003)；FRQ、MFS临界值分别为4分和40分时，约登指数分别为0.546和0.360，此时灵敏度分别为0.844和0.813，特异度分别为0.702和0.547，阳性预测值、阴性预测值、阳性似然比、阴性似然比分别为0.360、0.958、2.830、0.223和0.263、0.936、1.792、0.343，交叉检验准确率分别为72.5%和60.6%。结论 FRQ与MFS均能有效预测PMOP人群的跌倒风险。与MFS相比，FRQ预测价值更高。
- 跌倒风险自评表 /
- Morse跌倒评估量表 /
- 绝经后骨质疏松症 /
- 跌倒风险评估
Abstract: Objective To compare the value of the self-rated fall risk questionnaire (FRQ) and the Morse fall scale (MFS) in assessing fall risk in postmenopausal osteoporosis (PMOP), and to inform the selection of fall risk assessment tools for this population. Methods A total of 193 postmenopausal women with a confirmed diagnosis of osteoporosis were selected from the First Affiliated Hospital of Bengbu Medical University from September 2020 to January 2022 by convenience sampling method, and were invited to attend a survey of their fall risk assessed by the FRQ and MFS and follow-up on falls. The group was divided into a fall group (n=32) and a non-fall group (n=161) according to whether they fell or not during the follow-up period, and the scale was evaluated by means of ROC curve, sensitivity, specificity and Bayes discriminant analysis. Results The scores of both scales in the fall group were higher than those in the non-fall group, and the difference was statistically significant (P<0.001); the AUC of the FRQ and MFS were 0.865 and 0.737, respectively, and the difference was statistically significant (P=0.003); the Youden ' s index was 0.546 and 0.360 at critical values of 4 and 40 for the FRQ and MFS, respectively, when the sensitivity was 0.844 and 0.813, and specificity was 0.702 and 0.547, respectively. The positive predictive value, negative predictive value, positive likelihood ratio and negative likelihood ratio were 0.360, 0.958, 2.830, 0.223 and 0.263, 0.936, 1.792, 0.343, respectively. The cross-check accuracy of the FRQ and MFS was 72.5% and 60.6%, respectively. Conclusion Both FRQ and MFS can effectively predict the risk of falls in postmenopausal osteoporosis, while, FRQ shows a higher predictive value compared to MFS.
- Self-rated fall risk questionnaire /
- Morse fall scale /
- Postmenopausal osteoporosis /
- Fall risk assessment
利益冲突 无

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图 1 FRQ与MFS对PMOP患者跌倒风险预测价值的ROC曲线

Figure 1. ROC curve analysis of FRQ and MFS in predicting fall risk for PMOP patients

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表 1 193例PMOP患者一般资料

Table 1. General data of 193 patients with postmenopausal osteoporosis (PMOP)

项目	类别	例数	构成比(%)
年龄(岁)	<60	65	33.7
	60~79	109	56.5
	≥80	19	9.8
自然绝经年龄(岁)	≤45	39	20.2
	46~54	145	75.1
	≥55	9	4.7
绝经年限(年)	≤6	44	22.8
	7~9	15	7.8
	≥10	134	69.4
BMI	<18.5	13	6.7
	18.5~23.9	105	54.5
	24.0~27.9	63	32.6
	≥28.0	12	6.2
随访中跌倒次数(次)	0	161	83.4
	≥1	32	16.6
FRQ得分(分)	0~3	118	61.1
	≥4	75	38.9
MFS得分(分)	0~45	121	62.7
	＞45	72	37.3

下载: 导出CSV

表 2 2组PMOP患者FRQ和MFS评分比较[M(P₂₅, P₇₅)，分]

Table 2. Comparison of FRQ and MFS scores in two groups of PMOP patients [M(P₂₅, P₇₅), points]

组别	例数	FRQ	MFS
跌倒组	32	5(4, 6)	60(40, 75)
未跌倒组	161	2(1, 4)	35(15, 55)
Z值		6.602	4.241
P值		<0.001	<0.001

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表 3 最佳临界值下FRQ与MFS对PMOP患者跌倒风险的预测价值

Table 3. Predictive value of FRQ and MFS at optimal thresholds for fall risk in patients with postmenopausal osteoporosis

量表	灵敏度	特异度	阳性预测值	阴性预测值	阳性似然比	阴性似然比
FRQ	0.844	0.702	0.360	0.958	2.830	0.223
MFS	0.813	0.547	0.263	0.936	1.792	0.343

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表 4 FRQ与MFS最佳临界值分组PMOP患者跌倒发生情况比较(例)

Table 4. Comparison of incidence of falls in pmop patients by optimal threshold grouping of FRQ and MFS (cases)

量表	类别	跌倒组	未跌倒组	总计	χ²值	P值
FRQ	跌倒高风险组1	27	48	75	33.447	<0.001
	跌倒低风险组1	5	113	118
MFS	跌倒高风险组2	26	73	99	13.777	<0.001
	跌倒低风险组2	6	88	94

下载: 导出CSV

表 5 FRQ与MFS的Bayes判别分析

Table 5. Bayesian discriminant analysis of FRQ and MFS

量表	Bayes判别方程		准确率(%)
量表	Y0(未跌倒组)	Y1(跌倒组)	准确率(%)
FRQ	Y0=-1.888+0.930X	Y1=-5.558+1.875X	72.5
MFS	Y0=-1.583+1.715X	Y1=-2.328+2.326X	60.6

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