Predicting people with stroke at risk of falls
ABSTRACT falls are common following a stroke, but knowledge about predicting future fallers is lacking.
to identify, at discharge from hospital, those who are most at risk of repeated falls.
consecutively hospitalised people with stroke (independently mobile prior to stroke and with intact gross cognitive function) were recruited. Subjects completed a battery of tests (balance, function, mood and attention) within 2 weeks of leaving hospital and at 12 months post hospital discharge.
122 participants (mean age 70.2 years) were recruited. Fall status at 12 months was available for 115 participants and of those, 63 [55%; 95% confidence interval (CI) 46-64] experienced one or more falls, 48 (42%; 95% CI 33-51) experienced repeated falls, and 62 (54%) experienced near-falls. All variables available at discharge were screened as potential predictors of falling. Six variables emerged [near-falling in hospital, Rivermead leg and trunk score, Rivermead upper limb score, Berg Balance score, mean functional reach, and the Nottingham extended activities of daily living (NEADL) score]. A score of near-falls in hospital and upper limb function was the best predictor with 70% specificity and 60% sensitivity.
participants who were unstable (near-falls) in hospital with poor upper limb function (unable to save themselves) were most at risk of falls.
- SourceAvailable from: Nir Giladi
[Show abstract] [Hide abstract]
- "Missteps, also referred to as near falls, have been defined as a loss of balance that would result in a fall if sufficient recovery mechanisms are not activated . The amount of self-reported missteps has been related to fall risk in PD and other populations [1,13-16]. Missteps are usually more frequent than falls and may occur before a person begins to fall, enhancing the potential predictive value of missteps. Unfortunately, self-report is, to a large degree, the gold-standard method for characterizing and quantifying missteps [17-19]. "
ABSTRACT: Falls are a leading cause of morbidity and mortality among older adults and patients with neurological disease like Parkinson's disease (PD). Self-report of missteps, also referred to as near falls, has been related to fall risk in patients with PD. We developed an objective tool for detecting missteps under real-world, daily life conditions to enhance the evaluation of fall risk and applied this new method to 3 day continuous recordings. 40 patients with PD (mean age +/- SD: 62.2 +/- 10.0 yrs, disease duration: 5.3 +/- 3.5 yrs) wore a small device that contained accelerometers and gyroscopes on the lower back while participating in a protocol designed to provoke missteps in the laboratory. Afterwards, the subjects wore the sensor for 3 days as they carried out their routine activities of daily living. An algorithm designed to automatically identify missteps was developed based on the laboratory data and was validated on the 3 days recordings. In the laboratory, we recorded 29 missteps and more than 60 hours of data. When applied to this dataset, the algorithm achieved a 93.1% hit ratio and 98.6% specificity. When we applied this algorithm to the 3 days recordings, patients who reported two falls or more in the 6 months prior to the study (i.e., fallers) were significantly more likely to have a detected misstep during the 3 day recordings (p = 0.010) compared to the non-fallers. These findings suggest that this novel approach can be applied to detect missteps during daily life among patients with PD and will likely help in the longitudinal assessment of disease progression and fall risk.Journal of NeuroEngineering and Rehabilitation 04/2014; 11(1):48. DOI:10.1186/1743-0003-11-48 · 2.62 Impact Factor
[Show abstract] [Hide abstract]
- "Osteoporosis and low-impact trauma are the main determinants of HF in the elderly. Stroke increases the risk of falls [1–5] as a result of impaired locomotor function and muscle weakness [6, 7], accelerates bone loss (especially in the hemiplegic leg) [8–26], and subsequently leads to fractures [4, 27–29]. Although accumulating evidence suggests bidirectional links between vascular diseases, including stroke, and osteoporotic fractures [9–11, 30–35], there is still considerable uncertainty regarding the contribution of stroke to osteoporotic HF. "
ABSTRACT: Objective. To assess the prevalence, clinical and laboratory characteristics, and short-term outcomes of poststroke hip fracture (HF). Methods. A cross-sectional study of 761 consecutive patients aged ≥60 years (82.3 ± 8.8 years; 75% females) with osteoporotic HF. Results. The prevalence of poststroke HF was 13.1% occurring on average 2.4 years after the stroke. The poststroke group compared to the rest of the cohort had a higher proportion of women, subjects with dementia, history of TIA, hypertension, coronary artery disease, secondary hyperparathyroidism, higher serum vitamin B12 levels (>350 pmol/L), walking aid users, and living in residential care facilities. The majority of poststroke HF patients had vitamin D insufficiency (68%) and excess bone resorption (90%). This group had a 3-fold higher incidence of postoperative myocardial injury and need for institutionalisation. In multivariate analysis, independent indicators of poststroke HF were female sex (OR 3.6), history of TIA (OR 5.2), dementia (OR 4.1), hypertension (OR 3.2), use of walking aid (OR 2.5), and higher vitamin B12 level (OR 2.3). Only 15% of poststroke patients received antiosteoporotic therapy prior to HF. Conclusions. Approximately one in seven HFs occurs in older stroke survivors and are associated with poorer outcomes. Early implementation of fracture prevention strategies is needed.Stroke Research and Treatment 09/2013; 2013:641943. DOI:10.1155/2013/641943
[Show abstract] [Hide abstract]
- "Self-reported near falls (NFs) are related to fall risk    , are more frequent than falls   , and indeed may precede falls  . One can assume, therefore, that NFs are clinically relevant markers of fall risk and that measuring their frequency may help to provide a broader, more robust estimate of fall risk. "
ABSTRACT: Near falls (NFs) are more frequent than falls, and may occur before falls, potentially predicting fall risk. As such, identification of a NF is important. We aimed to assess intra and inter-rater reliability of the traditional definition of a NF and to demonstrate the potential utility of a new definition. To this end, 10 older adults, 10 idiopathic elderly fallers, and 10 patients with Parkinson's disease (PD) walked in an obstacle course while wearing a safety harness. All walks were videotaped. Forty-nine video segments were extracted to create 2 clips each of 8.48min. Four raters scored each event using the traditional definition and, two weeks later, using the new definition. A fifth rater used only the new definition. Intra-rater reliability was determined using Kappa (K) statistics and inter-rater reliability was determined using ICC. Using the traditional definition, three raters had poor intra-rater reliability (K<0.054, p>0.137) and one rater had moderate intra-rater reliability (K=0.624, p<0.001). With the traditional definition, inter-rater reliability between the four raters was moderate (ICC=0.667, p<0.001). In contrast, the new NF definition showed high intra-rater (K>0.601, p<0.001) and excellent inter-rater reliability (ICC=0.815, p<0.001). A priori, it is easy to distinguish falls from usual walking and NFs, but it is more challenging to distinguish NFs from obstacle negotiation and usual walking. Therefore, a more precise definition of NF is required. The results of the present study suggest that the proposed new definition increases intra and inter-rater reliability, a critical step for using NFs to quantify fall risk.Gait & posture 08/2013; 39(1). DOI:10.1016/j.gaitpost.2013.07.123 · 2.30 Impact Factor