Maarsingh Otto R, Stam Hanneke, van de Ven Peter M, van Schoor Natasja M, Ridd Matthew J, van der Wouden Johannes C
Department of General Practice & Elderly Care Medicine, EMGO Institute for Health and Care Research, VU University Medical Center, Van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands.
BMC Geriatr. 2014 Dec 15;14:133. doi: 10.1186/1471-2318-14-133.
The current diagnosis-oriented approach of dizziness does not suit older patients. Often, it is difficult to identify a single underlying cause, and when a diagnosis is made, therapeutic options may be limited. Identification of predictors of dizziness may provide new leads for the management of dizziness in older patients. The aim of the present study was to investigate long-term predictors of regular dizziness in older persons.
Population-based cohort study of 1,379 community-dwelling participants, aged ≥60 years, from the Longitudinal Aging Study Amsterdam (LASA). Regular dizziness was ascertained during face-to-face medical interviews during 7- and 10-year follow-up. We investigated 26 predictors at baseline from six domains: socio-demographic, medical history, medication, psychological, sensory, and balance/gait. We performed multivariate logistic regression analyses with presence of regular dizziness at 7- and 10-year follow-up as dependent variables. We assessed the performance of the models by calculating calibration and discrimination.
Predictors of regular dizziness at 7-year follow-up were living alone, history of dizziness, history of osteo/rheumatoid arthritis, use of nitrates, presence of anxiety or depression, impaired vision, and impaired function of lower extremities. Predictors of regular dizziness at 10-year follow-up were history of dizziness and impaired function of lower extremities. Both models showed good calibration (Hosmer-Lemeshow P value of 0.36 and 0.31, respectively) and acceptable discrimination (adjusted AUC after bootstrapping of 0.77 and 0.71).
Dizziness in older age was predicted by multiple factors. A multifactorial approach, targeting potentially modifiable predictors (e.g., physical exercise for impaired function of lower extremities), may add to the current diagnosis-oriented approach.
当前以诊断为导向的头晕诊疗方法并不适用于老年患者。通常,很难确定单一的潜在病因,而且即便做出了诊断,治疗选择可能也很有限。识别头晕的预测因素可能为老年患者头晕的管理提供新线索。本研究的目的是调查老年人经常头晕的长期预测因素。
基于人群的队列研究,纳入了来自阿姆斯特丹纵向衰老研究(LASA)的1379名年龄≥60岁的社区居民参与者。在7年和10年随访期间的面对面医学访谈中确定是否经常头晕。我们在基线时从六个领域调查了26个预测因素:社会人口统计学、病史、用药情况、心理、感官以及平衡/步态。我们以7年和10年随访时是否经常头晕作为因变量进行多因素逻辑回归分析。我们通过计算校准度和辨别力来评估模型的性能。
7年随访时经常头晕的预测因素包括独居、头晕病史、骨/类风湿关节炎病史、使用硝酸盐、存在焦虑或抑郁、视力受损以及下肢功能受损。10年随访时经常头晕的预测因素是头晕病史和下肢功能受损。两个模型均显示出良好的校准度(Hosmer-Lemeshow P值分别为0.36和0.31)和可接受的辨别力(自抽样后的校正AUC分别为0.77和0.71)。
老年人头晕由多种因素预测。针对潜在可改变的预测因素(如下肢功能受损时进行体育锻炼)的多因素方法可能会补充当前以诊断为导向的方法。