Falls and fractures 2 years after acute stroke: the North Dublin Population Stroke Study

Enhancing safety in the ischaemic and haemorrhagic stroke population: exploring the efficacy of self-releasing chair alarm belts

INTRODUCTION

A quality improvement study evaluated the effectiveness of implementing self-releasing chair alarm belts in an inpatient rehabilitation facility (IRF) for patients who had a stroke. The objective of this study is to assess the effectiveness of self-releasing chair alarms as a chair-level fall preventive tool in patients who had a stroke in the IRF setting.

METHODS

A preintervention and postintervention quality improvement study was conducted in an IRF to address the high rate of falls in the stroke population. Falls from wheelchairs were identified as a significant concern, leading to the implementation of self-releasing safety belts (Posey HeadStart Notification Sensor Belts) with alarm systems as an intervention. In the preintervention phase (July 2021 to January 2022) falls from chairs while on standard fall precautions were recorded to establish a baseline. In the intervention phase, the self-releasing chair alarm belts were introduced along with standard fall precautions. The postintervention phase spanned from February 2022 to July 2022.

RESULTS

In the preintervention phase, 20 out of 86 stroke subjects experienced a total of 30 falls from chairs. However, in the postintervention phase, only one subject experienced a fall from a chair out of 104 stroke subjects. The mean percentage of subjects involved in falls decreased from 24±11.4% to 1±0.4% (p<0.00001), and the mean fall rate per 1000 patient days declined from 4.6±2 to 0.2±0.1 (p<0.0001).

CONCLUSIONS

The implementation of self-releasing chair alarm belts significantly reduced falls from chairs among patients who had a stroke in the IRF setting. These findings highlight the effectiveness of this intervention in improving patient safety and fall prevention in IRFs.

Efficacy of Robot-Assisted and Virtual Reality Interventions on Balance, Gait, and Daily Function in Patients With Stroke: A Systematic Review and Network Meta-analysis

OBJECTIVE

This study aimed to evaluate the comparative effectiveness and ranking of robot-assisted training, virtual reality, and robot-assisted rehabilitation combined with virtual reality in improving balance, gait, and daily function in patients with stroke.

DATA SOURCES

PubMed, EMBASE, the Cochrane Library, Physiotherapy Evidence Database, CINAHL, Web of Science, and ProQuest Dissertations and Theses abstracting and indexing databases were comprehensively searched to include randomized controlled trials published through August 31, 2022.

STUDY SELECTION

Randomized controlled trials comparing robot-assisted training, virtual reality, robot-assisted rehabilitation combined with virtual reality, and conventional therapy to assess the effects on balance, gait, and daily function of patients with stroke.

DATA EXTRACTION

The risk of bias was assessed using the Cochrane Risk of Bias tool and the methodological quality of the studies was assessed using the Physiotherapy Evidence Database scale. A network meta-analysis of random effects models was performed for direct and indirect effects. Data were analyzed using Stata SE 17.0 and R 4.2.1.

DATA SYNTHESIS

A total of 52 randomized controlled trials involving 1,559 participants were included in this study. Based on the ranking probabilities, robot-assisted rehabilitation combined with virtual reality was most effective in improving balance (surface under the cumulative ranking curve [SUCRA]=82.0%; mean difference [MD]=4.10; 95% confidence interval [CI], 0.43 to 7.67). Virtual reality was most effective in improving velocity (SUCRA=97.8%; MD=-0.15; 95% CI, -0.24 to -0.06) and daily function (SUCRA=92.1%; MD=-7.85; 95% CI, -15.18 to -1.07).

CONCLUSIONS

Compared to robot-assisted training and conventional therapy, robot-assisted training combined virtual reality was most likely the best intervention for balance, and virtual reality might be the most helpful in improving daily function for patients after stroke. Further studies are needed to clarify the specific efficacy of robot-assisted training combined with virtual reality and virtual reality on gait.

Establishment and validation of a nomogram for predicting new fractures after PKP treatment of for osteoporotic vertebral compression fractures in the elderly individuals

BACKGROUND

To investigate the risk factors for new vertebral compression fractures (NVCFs) after percutaneous kyphoplasty (PKP) for osteoporotic vertebral compression fractures (OVCFs) and to create a nomogram to predict the occurrence of new postoperative fractures.

METHODS

This was a retrospective analysis of the clinical data of 529 OVCF patients who received PKP treatment in our hospital from June 2017 to June 2020. Based on whether there were new fractures within 2 years after surgery, the patients were divided into a new fracture group and a nonnew fracture group. Univariate and multivariate analyses were used to determine the risk factors for the occurrence of NVCFs after surgery. The data were randomly divided into a training set (75%) and a testing set (25%). Nomograms predicting the risk of NVCF occurrence were created based on the results of the multivariate analysis, and performance was evaluated using receiver operating characteristic curves (ROCs), calibration curves, and decision curve analyses (DCAs). A web calculator was created to give clinicians a more convenient interactive experience.

RESULTS

A total of 56 patients (10.6%) had NVCFs after surgery. The univariate analysis showed significant differences in sex and the incidences of cerebrovascular disease, a positive fracture history, and bone cement intervertebral leakage between the two groups (P < 0.05). The multivariate analysis showed that sex [OR = 2.621, 95% CI (1.030-6.673), P = 0.043], cerebrovascular disease [OR = 28.522, 95% CI (8.749-92.989), P = 0.000], fracture history [OR = 12.298, 95% CI (6.250-24.199), P = 0.000], and bone cement intervertebral leakage [OR = 2.501, 95% CI (1.029-6.082), P = 0.043] were independent risk factors that were positively associated with the occurrence of NVCFs. The AUCs of the model were 0.795 (95% CI: 0.716-0.874) and 0.861 (95% CI: 0.749-0.974) in the training and testing sets, respectively, and the calibration curves showed high agreement between the predicted and actual states. The areas under the decision curve were 0.021 and 0.036, respectively.

CONCLUSION

Female sex, cerebrovascular disease, fracture history and bone cement intervertebral leakage are risk factors for NVCF after PKP. Based on this, a highly accurate nomogram was developed, and a webpage calculator ( https://new-fracture.shinyapps.io/DynNomapp/ ) was created.

Effect of high-intensity laser therapy versus shockwave therapy on selected outcome measures in osteoporotic long-term hemiparetic patients: a randomized control trial

BACKGROUND

This study aimed to compare the effects of high-intensity laser therapy (HILT) and extracorporeal shock wave therapy (ESWT) in treating consequences of osteoporosis in hemiparetic patients.

METHODS

A randomized controlled trial was conducted on hemiplegic patients with osteoporosis. They were randomly classified into three equal groups (n = 40 in each group). The control group received medication and traditional physiotherapy programs for stroke patients. The high-intensity laser (HIL) group received the same intervention as the control group in addition to high-intensity laser therapy. The shock wave (SW) group received the same intervention as the control group in addition to shock wave therapy. The three groups received an intervention that lasted 3 sessions/week for 12 weeks). All groups were assessed before and after therapy for the degree of pain, fall risk, and quality of life.

RESULTS

A statistically significant difference (p < 0.05) was found concerning VAS, which had a significant difference in favor of HILT and ESWT groups compared to the control group; however, no significant difference was determined between HIL and SW groups. Regarding the overall stability index, SFBBS, and QUALEFFO-41, there was a significant difference in favor of HIL and SW groups compared to the control group, and a significant difference was found in HIL when compared to SW.

CONCLUSION

The current study indicates that the combined traditional physical therapy and HILT and ESWT have clinical significance in improving osteoporotic long-term hemiparetic patients with more favor to HILT.

TRIAL REGISTRATION

The study was registered as a clinical trial at ClinicalTrial.gov ID (NCT05616611).

Association Between Falling and Activities of Daily Living Measured by the Longshi Scale in Patients Poststroke: A Cross-sectional Study

BACKGROUND

Activities of daily living comprise an important risk factor for falls among patients who have suffered a stroke.

PURPOSE

To investigate the incidence of falls in patients with stroke, categorized by their Longshi grades (bedridden, domestic, community), and to explore their risk factors for falls.

METHODS

A cross-sectional descriptive design was used. Patients completed a survey during face-to-face interviews.

RESULTS

Of the 869 participants, 15.7% experienced a fall. Those in the domestic Longshi group had the highest rate of falls. Approximately 30% experienced either a moderate or severe injury as a result of falling. In addition, being older than 70 years was significantly correlated with fall risk. Intermediate Longshi grades, from moderately dependent to slightly dependent, were also positively correlated with falls.

CONCLUSION

Patients with stroke in the domestic Longshi group have a higher rate of falls. The risk of falling increased significantly in those with intermediate Longshi grades.

Effects of Tai Chi Yunshou on upper-limb function and balance in stroke survivors: A systematic review and meta-analysis

BACKGROUND AND PURPOSE

Physical rehabilitation plays an important role in the recovery of motor function after a stroke. This study aimed to evaluate the effects of Tai Chi Yunshou (TCY), a form of physical therapy, on upper-limb function and balance in stroke survivors.

METHODS

MEDLINE, Embase, CENTRAL and five Chinese databases were retrieved from inception to July 1, 2020 (updated on March 31, 2022). Randomized controlled trials of TCY versus no-treatment for stroke were included. The RoB-2 was used to evaluate the quality of included studies. Upper-limb motor impairment, balance, and activities of daily living (ADLs) were measured by Fugl-Meyer Assessment Upper Extremity Scale (FMA-UE), Berg Balance Scale (BBS), and Barthel Index (BI), respectively. Data synthesis was performed using RevMan (v5.3), and expressed as mean difference (MD) with 95% confidence intervals (CI).

RESULTS

Seven studies with 529 participants were included. Compared with no-treatment, TCY improved FMA-UE (MD = 7.31, 95% CI: 5.86-8.77, minimal clinically important difference [MCID]: 9-10), BBS (MD = 4.68, 95% CI: 0.28-9.07, MCID: 4), and BI (MD = 4.12, 95% CI: 3.28-4.96, MCID: 1.85) in stroke survivors.

CONCLUSION

TCY may benefit balance and ADLs in rehabilitation after a stroke, but it may not improve upper-limb function clinically.

Comparison of the effectiveness of different machine learning algorithms in predicting new fractures after PKP for osteoporotic vertebral compression fractures

BACKGROUND

The use of machine learning has the potential to estimate the probability of a second classification event more accurately than traditional statistical methods, and few previous studies on predicting new fractures after osteoporotic vertebral compression fractures (OVCFs) have focussed on this point. The aim of this study was to explore whether several different machine learning models could produce better predictions than logistic regression models and to select an optimal model.

METHODS

A retrospective analysis of 529 patients who underwent percutaneous kyphoplasty (PKP) for OVCFs at our institution between June 2017 and June 2020 was performed. The patient data were used to create machine learning (including decision trees (DT), random forests (RF), support vector machines (SVM), gradient boosting machines (GBM), neural networks (NNET), and regularized discriminant analysis (RDA)) and logistic regression models (LR) to estimate the probability of new fractures occurring after surgery. The dataset was divided into a training set (75%) and a test set (25%), and machine learning models were built in the training set after ten cross-validations, after which each model was evaluated in the test set, and model performance was assessed by comparing the area under the curve (AUC) of each model.

RESULTS

Among the six machine learning algorithms, except that the AUC of DT [0.775 (95% CI 0.728-0.822)] was lower than that of LR [0.831 (95% CI 0.783-0.878)], RA [0.953 (95% CI 0.927-0.980)], GBM [0.941 (95% CI 0.911-0.971)], SVM [0.869 (95% CI 0.827-0.910), NNET [0.869 (95% CI 0.826-0.912)], and RDA [0.890 (95% CI 0.851-0.929)] were all better than LR.

CONCLUSIONS

For prediction of the probability of new fracture after PKP, machine learning algorithms outperformed logistic regression, with random forest having the strongest predictive power.

A validity study to consult on a protocol of a home hazard management program for falls prevention among community dwelling stroke survivors

OBJECTIVE

A fall after a stroke is common but the consequences can be devastating not only for the stroke survivors, but also for caregivers, healthcare, and the society. However, research on falls prevention among the stroke population are limited, particularly on home hazards assessment and home modifications, demanding for a study to be conducted. The aim of the study is to validate the protocol and content of a home hazard management program guided by the Person-Environment-Occupation (PEO) Model for falls prevention among community dwelling stroke survivors.

METHOD

Researchers developed their own questionnaire for content validation which consist of 23 items that covers two domains, namely justification for telehealth home hazard management practice and the protocol's overall methodology. Occupational therapists with at least one year of experience in conducting a home hazard assessment were consulted for the content validation of a two-group clinical controlled trial protocol utilizing a home hazard assessment, home modifications and education over the usual care. Written consent was obtained prior to the study. The occupational therapists were given a Google Form link to review the protocol and intervention based on the questionnaire and rated each item using a four-point Likert scale for relevance and feasibility. Open-ended feedback was also recorded on the google form. Content Validity Index (CVI), Modified Kappa Index and Cronbach's Alpha was calculated for the content validity and reliability analysis.

RESULTS

A total of sixteen occupational therapists participated in the study. 43.7% of participants had a master's degree, 93.7% worked in the government sector and 56.2% had six years and more experience on conducting home hazard assessments. Content validity of the protocol is satisfactory for relevancy and feasibility (CVI = 0.84, ranging from 0.5 to 1.00), and for the reliability (α = 0.94 (relevance) and α = 0.97 (feasibility), respectively. The Modified Kappa ranged from 0.38 to 1.00 for all items. Feedback was also received regarding the design and procedure of the study protocol which included participant's selection criteria, sample size, equipment provided, cost, location, and care for the participants during the intervention.

CONCLUSIONS

Introducing a home hazard management program to prevent falls among the stroke population is viewed relevant and feasible. Practical suggestions from the consultation panel were adopted, and minor adjustments were required to strengthen the protocol's overall methodology. This study established a rigorous and robust experimental protocol for future undertaking.

A Systematic Review of Fall Risk Factors in Stroke Survivors: Towards Improved Assessment Platforms and Protocols

Background/Purpose: To prevent falling, a common incident with debilitating health consequences among stroke survivors, it is important to identify significant fall risk factors (FRFs) towards developing and implementing predictive and preventive strategies and guidelines. This review provides a systematic approach for identifying the relevant FRFs and shedding light on future directions of research.

Methods: A systematic search was conducted in 5 popular research databases. Studies investigating the FRFs in the stroke community were evaluated to identify the commonality and trend of FRFs in the relevant literature.

Results: twenty-seven relevant articles were reviewed and analyzed spanning the years 1995–2020. The results confirmed that the most common FRFs were age (21/27, i.e., considered in 21 out of 27 studies), gender (21/27), motion-related measures (19/27), motor function/impairment (17/27), balance-related measures (16/27), and cognitive impairment (11/27). Among these factors, motion-related measures had the highest rate of significance (i.e., 84% or 16/19). Due to the high commonality of balance/motion-related measures, we further analyzed these factors. We identified a trend reflecting that subjective tools are increasingly being replaced by simple objective measures (e.g., 10-m walk), and most recently by quantitative measures based on detailed motion analysis.

Conclusion: There remains a gap for a standardized systematic approach for selecting relevant FRFs in stroke fall risk literature. This study provides an evidence-based methodology to identify the relevant risk factors, as well as their commonalities and trends. Three significant areas for future research on post stroke fall risk assessment have been identified: 1) further exploration the efficacy of quantitative detailed motion analysis; 2) implementation of inertial measurement units as a cost-effective and accessible tool in clinics and beyond; and 3) investigation of the capability of cognitive-motor dual-task paradigms and their association with FRFs.

Exploring possible risk factors for time to first fall and 6-month fall incidence in persons with acute stroke

Objectives:

The aim was to explore how the time to the first fall and 6-month fall incidence relates to rapidly and easily collected data in persons with acute stroke.

Methods:

Out of consecutively admitted patients with stroke at three stroke units, 284 with at least one follow-up were included in this prospective cohort study. During 6 months following discharge, participants reported falls using a diary and monthly phone calls. Data about participants’ characteristics, functions, and activities were collected during hospital stay and analyzed in relation to time to first fall by Cox regression and fall incidence by negative binomial regression.

Results:

Use of ⩾9 medications, paresis in arms, paresis in legs (National Institutes of Health Stroke Scale), impaired protective reactions in sitting (Postural Reactions Test), and limitations in self-care (Barthel Index) were decisive risk factors for time to first fall. Limitations in mobility (Step Test, 30-s Chair Stand Test) were decisive risk factors for high fall incidence (p < 0.0005).

Conclusion:

Several easily collected participant characteristics, functions, and activities were identified as risk factors for falls. The findings emphasize the width of assessments that can be used for the identification of individuals at risk for falls and that the risk factors vary in different strata of the population. These results are important when developing multivariate risk models. The risk factors differed in part when analyzing the time to the first fall and 6-month fall incidence.

Utilization of screening and treatment for osteoporosis among stroke survivors

BACKGROUND

Stroke survivors are prone to osteoporosis and fractures. However, bone mineral density (BMD) testing and osteoporosis treatment were underutilized in patients with recent stroke. We aimed to examine whether stroke has an impact on the utilization of BMD testing and osteoporosis treatment as well as the determinants of their utilization in stroke patients using nationwide population-based data in Taiwan.

METHODS

We identified patients aged 55 years and older who were hospitalized for hemorrhagic or ischemic stroke as the stroke cohort, and age- and sex-matched patients hospitalized for reasons other than stroke, fracture, or fall as the non-stroke cohort. We used the Fine-Gray sub-distribution hazard competing risk regression model to determine the predictors for BMD testing and osteoporosis treatment.

RESULTS

A total of 32997 stroke patients and 32997 age- and sex-matched controls comprised the stroke and non-stroke cohorts, respectively. BMD testing and osteoporosis treatment were performed in 1.0% and 5.2% of the stroke patients, respectively, within one year after hospitalization while these measures were performed in 0.8% and 4.7% of the controls. Stroke patients were more likely to receive BMD testing (adjusted hazard ratio [HR] 1.33; 95% confidence interval [CI] 1.11-1.58) and osteoporosis treatment (adjusted HR 1.19; 95% CI 1.11-1.29). Female sex, osteoporosis, prior BMD testing, and low-trauma fractures after stroke increased the likelihood of using BMD testing and osteoporosis treatment whereas greater stroke severity reduced the likelihood of receiving both measures.

CONCLUSIONS

Both BMD testing and osteoporosis treatment were underutilized among stroke survivors even though they had a higher chance of receiving both measures than non-stroke patients.

A Retrospective Study on Statins and Post-stroke Patients: What About Functional Outcome and Follow-Up in a Stroke Rehabilitation Cohort?

Objective: Statins exert pleiotropic effects by influencing several mechanisms, including synaptogenesis, neurogenesis, cerebral flow regulation, and angiogenesis. Results from in vitro and animal models suggest that statins could have beneficial effect on functional recovery and outcome after stroke events. However, results in human studies are still controversial. The aim of our study was to evaluate the role of statin in influencing functional outcome and subsequent clinical follow-up in a large cohort of post-stroke rehabilitation patients.

Methods: This retrospective study consecutively enrolled 413 adult patients with stroke event, admitted to the division of Neurorehabilitation of the IRCCS ICS Maugeri, Veruno (Italy), for an individual rehabilitation program between 2015 and 2017. Follow-up lasted 3–5 years after discharge. Demographic data, etiology, classification, and anatomical site of stroke lesion, functional assessment, use and duration of statin therapy, and death during hospitalization were collected at baseline and on discharge. Clinical data on subsequent follow-up were also evaluated, considering these as variables: stroke recurrence, bone fractures, cardiovascular complications, and death.

Results: In our cohort, 177 patients (42.9%) were prescribed statin therapy, of whom 50 (28.2%) before the stroke event and 127 (71.8%) at the beginning of the rehabilitation process. The use and type of statin therapy as well as the duration of treatment were not associated with recovery and functional outcome, regardless of confounders including sex, age, etiology, and site of stroke lesion, and initial functional level. For what concern post-discharge clinical follow-up, the use of statin therapy was significantly associated with a lower risk of bone fractures (OR = 0.095, CI 95%: 0.012–0.743, p = 0.01) independently from age, sex, initial and final functional level, and comorbidities.

Conclusions: The use of statins does not seem to influence the functional outcome in post-stroke patients. However, they could exert a protective role against bone fractures during post-discharge follow-up, suggesting further evaluation on this topic.

Changes in kinesiostabilogram parameters and movement speed of stroke patients while increasing their physical activity due to the use of biofeedback method

Balance disorders are complications of stroke survivors. Aim of this study was the establish effectiveness of the biofeedback approach. In this intervention study 245 patients with early diagnosis of acute disturbance of cerebral circulation (ADCC) were examined. Patients able to move independently were treated by standard conservative ADCC therapy on an outpatient approach, but they continued to have problems with coordination of movement in upright position. Then they were submitted to an increasing physical activity based on five sessions of biofeedback, i.e., a complex rehabilitation of patients with motor pathology "Trust-M" according to TU 9442-001-63704475-2010. Mobility rates were assessed using a web camera. Patients' quality of life was evaluated by SF-36 questionnaire and the Hospital Anxiety and Depression Scale (HADS). All parameters were recorded before and after 5 sessions of biofeedback. After treatment, the stability indicators improved and all patients showed a significant increase in motion rate and quality of life. At the same time, the severity of pain and of depression and anxiety decreased. Negative correlations of average strength between the quadrant and patient HADS scaling rates were obtained. In conclusion, our work shows effectiveness of the biofeedback technique for correcting coordination in stroke survivors.

Associations between stroke type, stroke severity, and pre-stroke osteoporosis with the risk of post-stroke fracture: A nationwide population-based study

Background Recognizing the post-stroke fracture risk factors is crucial for targeted intervention and primary fracture prevention. We aimed to investigate whether stroke types, stroke severity, and pre-stroke osteoporosis are associated with post-stroke fracture. Methods In a nationwide cohort, we identified previously fracture-free patients who suffered from first-ever stroke, either acute ischemic stroke (AIS) or intracerebral hemorrhage (ICH), between 2003 and 2015. Information regarding stroke severity, osteoporosis, comorbidity, and medication information was collected. The outcomes analyzed included hip fracture, spine fracture, and other fractures. Cumulative incidence functions (CIFs) were used to estimate the cumulative incidence of fractures over time after accounting for competing risk of death. Multivariable Fine and Gray models were used to determine the adjusted hazard ratio (HR) and 95% confidence interval (CI). Results Of the 41,895 patients with stroke, the 5-year CIFs of any incident fracture, hip fracture, spine fracture, and other fractures were 8.03%, 3.42%, 1.87%, and 3.05%, respectively. The fracture risk did not differ between patients with AIS and ICH. While osteoporosis increased the risk of post-stroke fracture (adjusted HR [95% CI],1.42 [1.22-1.66]), stroke severity was inversely associated with post-stroke fracture (moderate, 0.88 [0.81-0.96] and severe, 0.39 [0.34-0.44], compared with mild stroke severity). Conclusions Stroke survivors had an over 8% fracture risk at 5 years after stroke. Mild stroke severity and osteoporosis were significantly associated with post-stroke fracture risk, whereas stroke type was not. Our results call for effective measures for bone health screening and fracture prevention in patients with stroke.

Fall Efficacy Scale-International cut-off score discriminates fallers and non-fallers individuals who have had stroke

BACKGROUND

Falls, which are common events after stroke, may lead to activity limitations and increased dependence. It is important to identify which commonly employed clinical measures could differentiate individuals, who are fallers from the non-fallers.

AIM

To investigate specific cut-off values of clinical measures that could discriminate fallers and non-fallers individuals with chronic stroke.

METHOD

This cross-sectional study involved 105 community-dwelling individuals with stroke. The primary outcome was report of falls over the last six months. The clinical predictors included measures of mobility (walking speed, stair ascent/descent cadences, time to perform the Timed Up and Go test, and ABILOCO) and the Fall Efficacy Scale - International (FES-I) scores. To identify which measures were able to detect between-group differences, independent Student's t-tests were employed. For measures which were able to discriminate fallers from the non-fallers, the Receiver Operating Characteristics (ROC) and the Area Under the ROC Curve (AUC) were calculated.

RESULTS

Out of the 105 participants (61 men), 41% reported falls over the previous 6 months. Stair ascent cadence, ABILOCO, and FES-I scores significantly differentiated the groups, but only the FES-I demonstrated acceptable discriminatory ability (AUC = 0.71). The optimal FES-I cut-off score was 28 points (sensitivity = 0.71; specificity = 0.57; positive predictive value = 51%; and negative predictive value = 74%).

CONCLUSIONS

The FES-I demonstrated good discriminatory ability to classify individuals with chronic stroke, who were fallers from the non-fallers. The use of the established cut-off value of 28 points is recommended and may help clinical reasoning and decision-making in stroke rehabilitation.

Interventions for preventing falls in people post-stroke: A meta-analysis of randomized controlled trials

BACKGROUND

Falls are a serious challenge facing individuals post-stroke. In the past decades, various fall prevention interventions have been developed. It remains unknown if any of these interventions are effective in reducing falls in this population. Such a knowledge gap could impede the effort of preventing falls in people post-stroke.

RESEARCH QUESTIONS

1) Are there effective interventions to prevent falls among people in the post-acute and chronic stages of stroke? and 2) How do fall prevention interventions change three key fall risk factors in this population: balance, mobility, and lower limb strength?

METHODS

Eleven databases were searched for randomized controlled trials which included falls in people post-stroke as an outcome measure. Information on the participants, training protocol, and outcome measures were collected for each study. The primary outcome is the number of fallers and the explanatory variables included mean difference and standard deviation for fall risk factors. Studies were quality appraised using the Physiotherapy Evidence Database scale and the funnel plot.

RESULTS

Thirteen studies enrolling 1352 participants were identified. Effect size quantified by the odds ratio (OR) for falls and standardized mean difference (SMD) for fall risk factors were calculated. Overall no intervention appears to be significantly more effective in preventing falls than placebo training (OR = 0.88 with a range of [0.23 3.66]; 95 % confidence interval = [0.64 1.21], p = 0.44). All interventions showed little effect in improving the fall risk factors (SMD = -0.01 to 0.06 and p-value = 0.38-0.86), except one (the combined treadmill and overground walking) which significantly improved mobility.

SIGNIFICANCE

Currently no program is effective in reducing falls in people post-stroke. Future studies should measure falls as a primary outcome based on a consistent definition of falls and reliable approaches to collect falls data.

Protecting Patient Safety and Preventing Modifiable Complications After Acute Ischemic Stroke

TOPIC

Protecting patient safety and preventing modifiable complications after acute ischemic stroke.

CLINICAL RELEVANCE

Stroke is a leading cause of death and disability in adults. Stroke survivors often experience a variety of deficits related to mobility, nutrition, immunity, mood, and cognition. These post-stroke complications and residual effects can adversely affect safety, placing the patient at risk for further injury. In order to develop a plan of care that protects patient safety, critical care and progressive care nurses must understand the unique needs of this patient population.

PURPOSE

To describe selected ischemic stroke-related physiological changes, how these changes contribute to safety risks, and methods of enhancing patient safety.

CONTENT COVERED

Stroke physiology and stroke-specific interventions that can enable nurses to reduce the risk of falls, dysphagia, malnutrition, dehydration, altered glucose metabolism, device-related infections, aspiration pneumonia, delirium, and depression.

Lateral Perturbation-Induced and Voluntary Stepping in Fallers and Nonfallers After Stroke

OBJECTIVE

A loss of balance poststroke from externally induced perturbations or during voluntary movements is often recovered by stepping. The purpose of this study was to characterize stepping behavior during lateral induced waist-pull perturbations and voluntary steps in community-dwelling fallers and nonfallers with chronic stroke.

METHODS

This study used a cohort design. Thirty participants >6 months poststroke were exposed to 24 externally triggered lateral waist-pull perturbations and 20 voluntary steps. Balance tolerance limit (BTL) (transition from single to multiple steps) and first step type were determined for the waist-pull perturbations. Step parameters of initiation time, velocity, first step length, and clearance were calculated at and above BTL and for the voluntary steps. Hip abductor/adductor torque, foot cutaneous sensation, and self-reported falls that occurred 6 months prior were evaluated.

RESULTS

Twelve participants were classified retrospectively as fallers and 18 as nonfallers. Fallers had a reduced BTL and took more medial first steps than nonfallers. Above BTL, no between-group differences were found in medial steps. At BTL, the nonparetic step clearance was reduced in fallers. Above BTL, fallers took longer to initiate a paretic and nonparetic step and had a reduced nonparetic step length and clearance compared with nonfallers. There was a between-group difference in step initiation time for voluntary stepping with the paretic leg (P < .05). Fallers had a reduced paretic abductor torque and impaired paretic foot cutaneous sensation.

CONCLUSION

A high fall rate poststroke necessitates effective fall prevention strategies. Given that more differences were found during perturbation-induced stepping between fallers and nonfallers, further research assessing perturbation-induced training on reducing falls is needed.

IMPACT

Falls assessments should include both externally induced perturbations along with voluntary movements in determining the fall risk.

Association between post-stroke disability and 5-year hip-fracture risk: The Women's Health Initiative

BACKGROUND

Hip fractures are a significant post-stroke complication. We examined predictors of hip fracture risk after stroke using data from the Women's Health Initiative (WHI). In particular, we examined the association between post-stroke disability levels and hip fracture risk.

METHODS

The WHI is a prospective study of 161,808 postmenopausal women aged 50-79 years. Trained physicians adjudicated stroke events and hip fractures. Our study included stroke survivors from the observational and clinical trial arms who had a Glasgow Outcome Scale of good recovery, moderately disabled, or severely disabled and survived more than 7 days post-stroke. Hip fracture-free status was compared across disability levels. Secondary analysis examined hip fracture risk while accounting for competing risk of death.

RESULTS

Average age at time of stroke was 74.6±7.2 years; 84.3% were white. There were 124 hip fractures among 4,640 stroke survivors over a mean follow-up time of 3.1±1.8 years. Mortality rate was 23.3%. Severe disability at discharge (Hazard Ratio (HR): 2.1 (95% Confidence Interval (CI): 1.4-3.2), but not moderate disability (HR: 1.1 (95%CI: 0.7-1.7), was significantly associated with an increased risk of hip fracture compared to good recovery status. This association was attenuated after accounting for mortality. White race, increasing age and higher Fracture Risk Assessment Tool (FRAX)-predicted hip fracture risk (without bone density information) were associated with an increased hip fracture risk. After accounting for mortality, higher FRAX risk and white race remained significant.

CONCLUSION

Severe disability after stroke and a higher FRAX risk score were associated with risk of subsequent hip fracture. After accounting for mortality, only the FRAX risk score remained significant. The FRAX risk score appears to identify stroke survivors at high risk of fractures. Our results suggest that stroke units can consider the incorporation of osteoporosis screening into care pathways.

Determinants of Recurrent Falls Poststroke: A 1-Year Follow-up of the Fall Study of Gothenburg

OBJECTIVE

To identify the occurrence of recurrent falls and the determinants in the acute phase poststroke that are associated with recurrent falls within the first year poststroke.

DESIGN

Prospective follow-up study.

SETTING

Stroke unit and community.

PARTICIPANTS

Patients (N=504) with acute stroke.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

The dependent variable was recurrent falls, defined as ≥2 falls, within the first year poststroke. The independent baseline variables were related to function, activity, participation, personal and environmental factors, and comorbidity and were assessed within 4 days after admission to a stroke unit. Fall data were registered at the stroke unit, and self-reported fall data were collected during follow-up using a standardized questionnaire. Determinants of recurrent falls were identified using univariable and multivariable logistic regression analyses.

RESULTS

Within 12 months poststroke, 95 of 348 participants (27%) had experienced recurrent falls. Poor postural control (odds ratio [OR] 5.85; 95% confidence interval [CI], 2.84-12.02; P<.0001), moderate postural control (OR 2.41; 95% CI, 1.21-4.80; P=.012), and using a walking aid in the acute phase (OR 2.51; 95% CI, 1.45-4.36; P=.0010) are statistically significant determinants that are associated with recurrent falls within the first year poststroke. The determinant of using a walking aid appears to be primarily driven by those younger than 80 years. In addition to impaired postural control and using a walking aid, a fall at the stroke unit is a determinant associated with recurrent falls after discharge within 6 months poststroke.

CONCLUSIONS

More than 1 in 4 individuals with stroke experienced recurrent falls within the first year poststroke. Impaired postural control, using a walking aid in the acute phase, and fall during hospitalization are determinants associated with recurrent falls during follow-up. The determinants differ somewhat at different ages.

Fractures after stroke-A Danish register-based study of 106 001 patients

OBJECTIVES

To estimate the incidence of fractures, possibly caused by falls, in patients aged 65 and older with first episode of stroke, and to estimate the incidence of fracture types for this group of patients. Another objective was to investigate stroke severity and marital status, as risk factors for fractures.

MATERIALS AND METHODS

A large retrospective dataset of 116 519 patients with first episode of stroke was extracted from the Danish Stroke Registry between January 2003 and December 2017. The occurrence of fractures was identified in the Danish National Patient Registry. A univariate analysis was conducted and a multivariate analysis was conducted to determine the relationship between stroke severity and fractures, and marital status and fractures, adjusting for multiple confounders. Cox regression with time-varying covariates was used, taking time-dependent variables into account.

RESULTS

The incidence rate of fractures post-stroke was 41.07 per 1000 person-years between 2003 and 2017 in Denmark. A total of 15 872 (14.86%) sustained a fracture and the mean time at risk until outcome was 3.67 years post-stroke. Femur fracture was the most common fracture type. Mild, moderate, severe, and unknown stroke severity are associated with fractures after stroke compared to very severe stroke, and living alone at the time of stroke is associated with fractures after stroke compared to living with someone.

CONCLUSIONS

The incidence rate of fractures in Denmark was 41.07 per 1000 person-years. Moreover, mild, moderate, and severe stroke severity, and living alone at the time of stroke were found to be risk factors for fracture.

Post-stroke patients with moderate function have the greatest risk of falls: a National Cohort Study

BACKGROUND

Stroke patients have increased risks of falls. We examined national registry data to evaluate the association between post-stroke functional level and the risk of low falls among post-stroke patients.

METHODS

This retrospective cohort study analyzed data from national registries to examine the risk factors for post-stroke falls. Data for patients who suffered ischemic strokes and survived the index hospital admission was obtained from the Singapore National Stroke Registry and matched to the National Trauma Registry, from 2011 to 2015. The primary outcome measure was a low fall (fall height ≤ 0.5 m). Competing risk analysis was performed to examine the association between functional level (by modified Rankin score [mRS] at discharge) and the risk of subsequent low falls.

RESULTS

In all, 2255 patients who suffered ischemic strokes had recorded mRS. The mean age was 66.6 years and 58.5% were men. By the end of 2015, 54 (2.39%) had a low fall while 93 (4.12%) died. After adjusting for potential confounders, mRS was associated with fall risk with an inverted U-shaped relationship. Compared to patients with a score of zero, the sub-distribution hazard ratio (SHR) increased to a maximum of 3.42 (95%CI:1.21-9.65, p = 0.020) for patients with a score of 2. The SHR then declined to 2.45 (95%CI:0.85-7.12, p = 0.098), 2.86 (95%CI:0.95-8.61, p = 0.062) and 1.93 (95%CI:0.44-8.52, p = 0.38) for patients with scores of 3, 4 and 5 respectively.

CONCLUSIONS

An inverted U-shaped relationship between functional status and fall risk was observed. This is consistent with the complex interplay between decreasing mobility (hence decreased opportunity to fall) and increasing susceptibility to falls. Fall prevention intervention could be targeted accordingly. (263 words).

Fall-Risk-Increasing Drugs: A Systematic Review and Meta-Analysis: II. Psychotropics

BACKGROUND AND OBJECTIVE

Falls are a major public health problem in older adults. Earlier studies showed that psychotropic medication use increases the risk of falls. The aim of this study is to update the current knowledge by providing a comprehensive systematic review and meta-analysis on psychotropic medication use and falls in older adults.

METHODS AND DESIGN

This study is a systematic review and meta-analysis. A search was conducted in Medline, PsycINFO, and Embase. Key search concepts were "falls," "aged," "medication," and "causality." Studies were included that investigated psychotropics (antipsychotics, antidepressants, anxiolytics, sedatives, and hypnotics) as risk factors for falls in participants ≥60 years of age or participants with a mean age of ≥70 years. Meta-analyses were performed using generic inverse variance method pooling unadjusted and adjusted odds ratio (OR) estimates separately.

RESULTS

In total, 248 studies met the inclusion criteria for qualitative synthesis. Meta-analyses using adjusted data showed the following pooled ORs: antipsychotics 1.54 [95% confidence interval (CI) 1.28-1.85], antidepressants 1.57 (95% Cl 1.43-1.74), tricyclic antidepressants 1.41 (95% CI 1.07-1.86), selective serotonin reuptake inhibitors 2.02 (95% CI 1.85-2.20), benzodiazepines 1.42 (95%, CI 1.22-1.65), long-acting benzodiazepines 1.81 (95%, CI 1.05-3.16), and short-acting benzodiazepines 1.27 (95%, CI 1.04-1.56) Most of the meta-analyses resulted in substantial heterogeneity that did not disappear after stratification for population and healthcare setting.

CONCLUSIONS

Antipsychotics, antidepressants, and benzodiazepines are consistently associated with a higher risk of falls. It is unclear whether specific subgroups such as short-acting benzodiazepines and selective serotonin reuptake inhibitors are safer in terms of fall risk. Prescription bias could not be accounted for. Future studies need to address pharmacologic subgroups as fall risk may differ depending on specific medication properties. Precise and uniform classification of target medication (Anatomical Therapeutic Chemical Classification) is essential for valid comparisons between studies.

Evidence synthesis based on non-randomised studies-a critical review of studies leading to conclusions on fall risk properties of loop diuretics/beta-blockers

PURPOSE

To describe methodological and reporting issues in non-randomised comparative drug safety studies pooled in meta-analyses, with focus on confounding by indication.

METHODS

All studies included in statistically significant meta-analyses in a recent publication investigating fall risk properties of cardiovascular drugs were reviewed. Study characteristics were extracted and assessed.

RESULTS

Nine studies, including between 498 and 321,995 individuals, contributed data to the significant meta-analyses in which loop diuretics and beta-blockers were associated with falls, five published in 2015. Five individual studies reported a statistically significant association. In the five cohort studies, characteristics of exposed vs unexposed individuals were either not reported (n = 3) or differed substantially regarding morbidity (n = 2). Drug treatment was determined at baseline, and data on falls were collected for up to 2 years thereafter. Out of the four case-control studies, the cases and controls in only one study were matched for morbidity. Morbidity characteristics of fallers compared with non-fallers were either not reported (n = 2) or they differed (n = 1) or were reported according to the matched-for diseases (n = 1). Confounding by indication was explicitly discussed in two studies. None of the abstract conclusions considered causality issues or the possibility of confounding by indication.

CONCLUSIONS

Confounding by indication is a major issue in non-randomised comparative drug safety studies, a problem which may be concealed in meta-analyses. To enhance such research, compared groups need to be balanced regarding relevant factors including morbidities and characteristics adequately reported. Confounding by indication needs to be explicitly discussed and highlighted in the abstract conclusion.

Kinesio Taping for Balance Function after Stroke: A Systematic Review and Meta-Analysis

Objective

With the increasing social and economic burdens of balance impairment after stroke, the treatment for balance impairment after stroke becomes a major public health problem worldwide. Kinesio taping (KT) as a part of clinical practice has been used widely in the treatment of balance impairment after stroke. However, the clinical effects of KT for balance function have not been confirmed. The objective of this study is to investigate the effects and safety of KT for balance impairment after stroke.

Methods

We conducted a systematic review (SR) and meta-analysis of randomized controlled trials (RCTs) on the effects of KT for balance impairment after stroke. We searched the following databases: (1) English databases: EMBASE (via Ovid), MEDLINE (via Ovid), the Cochrane library, PubMed, and PEDro; (2) Chinese databases: China Biology Medicine (CBM), Wan Fang database, China National Knowledge Infrastructure (CNKI), and VIP. Besides, hand searches of relevant references were also conducted. We systematically searched from the inception to December 2018, using the keywords (Kinesio, Kinesio Tape, tape, or Orthotic Tape) and (stroke, hemiplegia, or hemiplegic paralysis) and (balance or stability). The search strategies were adjusted for each database. The reference lists of included articles were reviewed for relevant trials. For missing data, we contacted the authors to get additional information.

Results

22 RCTs involved 1331 patients, among which 667 patients in the experimental group and 664 patients in the control group were included. Results of meta-analysis showed that, compared with conventional rehabilitation (CR), there was significant difference in Berg Balance Scale (BBS) (MD=4.46, 95%CI 1.72 to 7.19, P=0.001), Time Up and Go Test (TUGT) (MD=-4.62, 95%CI -5.48 to -3.79, P < 0.00001), functional ambulation category scale (FAC) (MD=0.53, 95%CI 0.38 to 0.68, P < 0.00001), Fugl-Meyer assessment (FMA-L) (MD=4.20, 95%CI 3.17 to 5.24, P < 0.00001), and Modified Ashworth Scale (MAS) (MD=-0.38, 95%CI -0.49 to -0.27, P < 0.00001). The results of subgroup analysis showed that there was no significant difference between KT and CR with ≤4 weeks treatment duration (< 4 weeks: MD=5.03, 95%CI -1.80 to 11.85, P=0.15; =4 weeks: MD=4.33, 95%CI -1.50 to 10.15, P=0.15), while there was significant difference with more than 4-week treatment duration (MD=4.77, 95%CI 2.58 to 6.97, P < 0.0001).

Conclusions

Based on current evidence, KT was more effective than CR for balance function, lower limb function, and walking function in poststroke patients. Longer treatment duration may be associated with better effects. However, more well-conducted RCTs are required in the future.

Falls-Related EvEnts in the first year after StrokE in Ireland: Results of the multi-centre prospective FREESE cohort study

Introduction

Falls are common post-stroke adverse events. This study aimed to describe the first-year falls incidence, circumstances and consequences among persons discharged home after stroke in Ireland, and to examine the association between potential risk factors and recurrent falls.

Patients and methods

Patients with acute stroke and planned home-discharge were recruited consecutively from five hospitals. Variables recorded pre-discharge included: age, stroke severity, co-morbidities, fall history, prescribed medications, hemi-neglect, cognition and functional independence (Barthel index). Falls were recorded with monthly diaries, and 6 and 12-month interviews. The association of pre-discharge factors with recurrent falls (>1 fall) was examined using univariable logistic regression.

Results

A total of 128 participants (mean age = 68.6, SD = 13.3) were recruited; 110 completed the 12-month follow-up. The first-year falls incidence was 44.5% (95% CI = 35.1-53.6) with 25.6% falling repeatedly (95% CI = 18.5-34.4). Fallers experienced 1-18 falls (median = 2) and five reported fractures; 47% of fallers experienced at least one fall outdoors. Only 10% of recurrent fallers had bone health medication prescribed at discharge. Lower Barthel index scores (<75/100, RR = 4.38, 1.64-11.72) and psychotropic medication prescription (RR = 2.10, 1.13-3.91) were associated with recurrent falls.

Discussion

This study presents prospectively collected information about falls circumstances. It was not powered for multivariable analysis of risk factors.

Conclusion

One-quarter of stroke survivors discharged to the community fall repeatedly and mostly indoors in the first year. Specific attention may be required for individuals with poor functional independence or those on psychotropic medication. Future falls-management research in this population should explore falls in younger individuals, outdoor as well as indoor falls and post-stroke bone health status.

Statin Use Is Associated With Decreased Osteoporosis and Fracture Risks in Stroke Patients

CONTEXT

Poststroke osteoporosis and consequent fractures increase the risk of morbidity and mortality and cause considerable socioeconomic burden.

OBJECTIVE

To evaluate the association between statin use and risks of osteoporosis and fracture in stroke patients.

DESIGN

Population-based propensity score‒matched cohort study.

SETTING

Taiwan's National Health Insurance Research Database.

PATIENTS

Patients newly diagnosed with a stroke between 2000 and 2012 were identified. After propensity score matching, 5254 patients were included, with 2627 patients in the statin and nonstatin cohorts, respectively.

MAIN OUTCOME MEASURES

Hazard ratios (HRs) for poststroke osteoporosis, hip fracture, and vertebral fracture (together, the primary outcome) were calculated using Cox proportional hazards regression models according to statin use status.

RESULTS

Poststroke statin use was associated with a lower overall risk of the primary outcome [adjusted hazard ratio (aHR) = 0.66; P < 0.001]. In subanalyses, statin use was associated with a decreased risk of all individual outcomes, including osteoporosis (aHR = 0.68; P < 0.001), hip fracture (aHR = 0.59; P < 0.001), and vertebral fracture (aHR = 0.73; P = 0.003). A dose-effect relationship was identified. The aHRs for developing the primary outcome were 0.96, 0.86, and 0.34 for patients who used 1 to 90, 91 to 365, and >365 cumulative defined daily doses of statins, respectively. These dose-effect relationships were maintained on subgroup analyses stratified by age, sex, and stroke type and sensitivity analyses conducted without propensity score matching.

CONCLUSIONS

Statin use is associated with decreased risks of osteoporosis, hip fracture, and vertebral fracture in stroke patients.

Interactive Video Gaming Improves Functional Balance in Poststroke Individuals: Meta-Analysis of Randomized Controlled Trials

The main objective of this study was to evaluate the effects of interactive video games on functional balance and mobility in poststroke individuals. The Health Science databases accessed included Medline via PubMed, LILACS, SciELO, and PEDro. The inclusion criteria were as follows: clinical studies evaluating the use of interactive video games as a treatment to improve functional balance and mobility in individuals poststroke and studies published in the Brazilian Portuguese, English, or Spanish language between 2005 and April 2016. PEDro Scale was used to analyze the methodological quality of the studies. The Berg Balance Scale and Timed Up and Go Test (TUGT) data were evaluated using a meta-analysis, the publication bias was assessed by funnel plots, and the heterogeneity of the studies by I ² statistic. Eleven studies were included in the final analysis. Functional balance improved in individuals treated using interactive video games (mean difference = 2.24, 95% confidence interval [0.45, 4.04], p = .01), but no improvement was observed in mobility as measured by TUGT. The studies presented low heterogeneity (24%). The mean score on the PEDro Scale was 6.2 ± 1.9. Interactive video games were effective in improving functional balance but did not influence the mobility of individuals poststroke.

Proton pump inhibitor use and the risk of osteoporosis and fracture in stroke patients: a population-based cohort study

A considerable proportion of stroke survivors are prescribed with proton pump inhibitors (PPIs). Our study indicated that PPI use is associated with an increased risk of osteoporosis, hip fracture, and vertebral fracture in stroke patients. The risk tends to increase as the cumulative doses of PPIs increase.

INTRODUCTION

A considerable proportion of stroke survivors are prescribed with proton pump inhibitors (PPIs). Our study investigated the association between PPI use and the risk of osteoporosis and fracture among stroke survivors.

METHODS

A population-based propensity-matched retrospective cohort study was conducted using the National Health Insurance Research Database in Taiwan. Patients diagnosed with a new stroke between 2000 and 2012 were identified. After propensity score matching, 10,596 patients were enrolled, and 5298 patients were each assigned to the PPI user and non-user groups. Hazard ratios (HRs) were calculated for the risk of osteoporosis, hip fracture, and vertebral fractures according to PPI use or non-use. Sensitivity analyses were conducted to evaluate the dose effects of PPI.

RESULTS

PPI use after stroke was associated with an increased risk of osteoporosis, hip fracture, or vertebral fracture, with an adjusted HR (aHR) of 1.28 (P < 0.001). The aHRs were also significant for each outcome: osteoporosis, 1.26 (P < 0.001); hip fracture, 1.18 (P = 0.048); vertebral fracture, 1.33 (P < 0.001). A pattern of dose effect was identified. For any event (osteoporosis/hip fracture/vertebral fracture), the aHR for PPI use of 1-90, 91-365, and > 365 cDDDs was 1.22 (P < 0.001), 1.27 (P < 0.001), and 1.66 (P < 0.001), respectively. For each outcome, the highest dose was associated with the highest risk, with aHR of 1.79 (P < 0.001), 1.41 (P = 0.039), and 1.82 (P < 0.001) for osteoporosis, hip fracture, and vertebral fracture, respectively. Age- and sex-stratified analyses revealed similar patterns.

CONCLUSIONS

PPI use is associated with an increased risk of osteoporosis, hip fracture, and vertebral fracture in stroke patients.

Risk Factors for Falls in Community Stroke Survivors: A Systematic Review and Meta-Analysis

OBJECTIVE

To identify the risk factors for falls in community stroke survivors.

DATA SOURCES

A comprehensive search for articles indexed in MEDLINE, Embase, CINAHL, PsycINFO, Cochrane Library, and Web of Science databases was conducted.

STUDY SELECTION

Prospective studies investigating fall risk factors in community stroke survivors were included. Reviewers in pair independently screened the articles and determined inclusion through consensus. Studies meeting acceptable quality rating using the Q-Coh tool were included in the meta-analysis.

DATA EXTRACTION

Data extraction was done in duplicate by 4 reviewers using a standardized data extraction sheet and confirmed by another independent reviewer for completeness and accuracy.

DATA SYNTHESIS

Twenty-one articles met the minimum criteria for inclusion; risk factors investigated by ≥3 studies (n=16) were included in the meta-analysis. The following risk factors had a strong association with all fallers: impaired mobility (odds ratio [OR], 4.36; 95% confidence interval [CI], 2.68-7.10); reduced balance (OR, 3.87; 95% CI, 2.39-6.26); use of sedative or psychotropic medications (OR, 3.19; 95% CI, 1.36-7.48); disability in self-care (OR, 2.30; 95% CI, 1.51-3.49); depression (OR, 2.11; 95% CI, 1.18-3.75); cognitive impairment (OR, 1.75; 95% CI, 1.02-2.99); and history of fall (OR, 1.67; 95% CI, 1.03-2.72). A history of fall (OR, 4.19; 95% CI, 2.05-7.01) had a stronger association with recurrent fallers.

CONCLUSIONS

This study confirms that balance and mobility problems, assisted self-care, taking sedative or psychotropic medications, cognitive impairment, depression, and history of falling are associated with falls in community stroke survivors. We recommend that any future research into fall prevention programs should consider addressing these modifiable risk factors. Because the risk factors for falls in community stroke survivors are multifactorial, interventions should be multidimensional.

Post-ischemic stroke rehabilitation is associated with a higher risk of fractures in older women: A population-based cohort study

BACKGROUND

Rehabilitation can improve physical activity after stroke. However, patients may be more prone to falls and fractures because of balance and gait deficits. Few reports have studied the relationship between rehabilitation and subsequent fractures after ischemic stroke.

OBJECTIVE

To investigate whether post-stroke rehabilitation affects fracture risk.

METHODS

We conducted a population-based retrospective cohort study based on the Taiwan National Health Insurance Research Database. Patients with a newly diagnosed ischemic stroke between 2000 and 2012 were included. After propensity score matching, a total of 8,384 patients were enrolled. Half of the patients (4,192) received post-stroke rehabilitation within 1 month; the other half did not receive any post-stroke rehabilitation. Cox proportional hazards regression model was used to calculate hazard ratios (HRs) for fractures among patients with and without rehabilitation within 1 year after ischemic stroke. Patients were further stratified by sex and age (20-64 and ≥65 years).

RESULTS

Patients receiving post-stroke rehabilitation had a higher incidence of fracture (6.2 per 100 person-years) than those who did not (4.1 per 100 person-years) after adjustment for sociodemographic and coexisting medical conditions [HR = 1.53, 95% confidence interval (CI) = 1.25-1.87, p < 0.001]. The analyses performed after stratifying for sex and age showed that only older women undergoing rehabilitation had a significantly higher risk of fracture (HR = 1.62, 95% CI = 1.21-2.17, p = 0.001).

CONCLUSION

Rehabilitation after ischemic stroke is associated with an increased fracture risk in older women.

Bone fracture nonunion rate decreases with increasing age: A prospective inception cohort study

BACKGROUND

Fracture nonunion risk is related to severity of injury and type of treatment, yet fracture healing is not fully explained by these factors alone. We hypothesize that patient demographic factors assessable by the clinician at fracture presentation can predict nonunion.

METHODS

A prospective cohort study design was used to examine ~2.5 million Medicare patients nationwide. Patients making fracture claims in the 5% Medicare Standard Analytic Files in 2011 were analyzed; continuous enrollment for 12months after fracture was required to capture the ICD-9-CM nonunion diagnosis code (733.82) or any procedure codes for nonunion repair. A stepwise regression analysis was used which dropped variables from analysis if they did not contribute sufficient explanatory power. In-sample predictive accuracy was assessed using a receiver operating characteristic (ROC) curve approach, and an out-of-sample comparison was drawn from the 2012 Medicare 5% SAF files.

RESULTS

Overall, 47,437 Medicare patients had 56,492 fractures and 2.5% of fractures were nonunion. Patients with healed fracture (age 75.0±12.7SD) were older (p<0.0001) than patients with nonunion (age 69.2±13.4SD). The death rate among all Medicare beneficiaries was 4.8% per year, but fracture patients had an age- and sex-adjusted death rate of 11.0% (p<0.0001). Patients with fracture in 14 of 18 bones were significantly more likely to die within one year of fracture (p<0.0001). Stepwise regression yielded a predictive nonunion model with 26 significant explanatory variables (all, p≤0.003). Strength of this model was assessed using an area under the curve (AUC) calculation, and out-of-sample AUC=0.710.

CONCLUSIONS

A logistic model predicted nonunion with reasonable accuracy (AUC=0.725). Within the Medicare population, nonunion patients were younger than patients who healed normally. Fracture was associated with increased risk of death within 1year of fracture (p<0.0001) in 14 different bones, confirming that geriatric fracture is a major public health issue. Comorbidities associated with increased risk of nonunion include past or current smoking, alcoholism, obesity or morbid obesity, osteoarthritis, rheumatoid arthritis, type II diabetes, and/or open fracture (all, multivariate p<0.001). Nonunion prediction requires knowledge of 26 patient variables but predictive accuracy is currently comparable to the Framingham cardiovascular risk prediction.

Visit-to-visit variation of fasting plasma glucose is a predictor of hip fracture in older persons with type 2 diabetes: the Taiwan Diabetes Study

We investigated the association between fasting plasma glucose variability (FPG-CV) and the risk of hip fracture in elderly diabetic patients. Our finding showed a temporal association between FPG-CV and hip fracture as patients categorized as FPG-CV greater than 25.4 % showed an increased risk in hip fractures.

INTRODUCTION

Hip fracture is a major health burden in the population and is associated with high rates of mortality and morbidity especially in elderly. It is evident that diabetes mellitus is a risk factor of osteoporosis which is a significant risk factor of hip fracture. However, epidemiological studies exploring the risks of hip fracture among type 2 diabetic patients are limited.

METHODS

A retrospective study of 26,501 ethnic Chinese older persons enrolled in the National Diabetes Care Management program in Taiwan was conducted; related factors were analyzed with extended Cox proportional hazards regression models to competing risk data on hip fracture incidence.

RESULTS

The results show a temporal association between FPG-CV and hip fracture as patients categorized as FPG-CV greater than 25.4 % showed an increased risk in hip fractures, confirming a linear relationship between the two. After multivariate adjustment, the risk of hip fracture increased among patients with FPG-CV of 25.4-42.3 % and >42.3 % compared with patients with FPG-CV of ≦ 14.3 % (hazard ratio, 1.35; 95 % confidence interval 1.14-1.60 and 1.27; 1.07-1.52, respectively). Significant linear trends among various FPG-CV were observed.

CONCLUSIONS

Thus, the present study demonstrated the importance of glucose stability for fracture prevention in older persons with type 2 diabetes. Future studies should be conducted to explore whether reduction in glucose oscillation in older adults with diabetes mellitus can reduce the risk of hip fracture.

Stroke and Falls-Clash of the Two Titans in Geriatrics

Both stroke and falls are common conditions affecting the older adult. Despite stroke being considered a well-established major risk factor for falls, there remains no evidence for effective prevention strategies for falls specifically for stroke survivors. Previous observational studies evaluating falls risk factors in stroke have mainly been uncontrolled and found similar risk factors for stroke populations compared to general older populations. Specific risk factors, however, are likely to play a greater role in stroke survivors including unilateral weakness, hemisensory or visual neglect, impaired coordination, visual field defects, perceptual difficulties and cognitive issues. In addition, individuals with stroke are also more likely to have other associated risk factors for falls including diabetes, falls risk increasing drugs, atrial fibrillation, and other cardiovascular risk factors. While anticoagulation is associated with increased risk of intracranial bleeding after a fall, the risk of suffering a further stroke due to atrial fibrillation outweigh the risk of bleeding from a recurrent fall. Similarly, while blood pressure lowering medications may be linked to orthostatic hypotension which in turn increases the risk of falls, the benefit of good blood pressure control in terms of secondary stroke prevention outweighs the risk of falls. Until better evidence is available, the suggested management approach should then be based on local resources, and published evidence for fall prevention. Multicomponent exercise and individually tailored multifactorial interventions should still be considered as published evidence evaluating the above have included stroke patients in their study population.

Risk of fractures after stroke: Results from the Ontario Stroke Registry

OBJECTIVE

To determine the risk of fractures after stroke.

METHODS

Using the Ontario Stroke Registry, we identified a population-based sample of consecutive patients seen in the emergency department or hospitalized with stroke (n = 23,751) or TIA (n = 11,240) at any of 11 stroke centers in Ontario, Canada, and discharged alive between July 1, 2003, and March 31, 2012. We compared the risk of low-trauma fractures in patients with stroke vs those with TIA using propensity score methods to adjust for differences in baseline factors. Secondary analyses compared fracture risk poststroke with that in age-/sex-matched controls without stroke or TIA (n = 23,751) identified from the Ontario Registered Persons Database.

RESULTS

The 2-year rate of fracture was 5.7% in those with stroke compared to 4.8% in those with TIA (adjusted cause-specific hazard ratio [aHR] for those with stroke vs TIA 1.32; 95% confidence interval [CI] 1.19-1.46) and 4.1% in age-/sex-matched controls (aHR for those with stroke vs controls 1.47; 95% CI 1.35-1.60). In the cohort with stroke, factors associated with fractures were older age, female sex, moderate stroke severity, prior fractures or falls, and preexisting osteoporosis, rheumatoid arthritis, hyperparathyroidism, and atrial fibrillation.

CONCLUSIONS

Stroke is associated with an increased risk of low-trauma fractures. Individuals with stroke and additional risk factors for fractures may benefit from targeted screening for low bone mineral density and initiation of treatment for fracture prevention.