Discriminative ability and clinical utility of the Timed Up and Go (TUG) in identifying falls risk in people with multiple sclerosis: a prospective cohort study

Short-Term Benefits from Manual Therapy as an Adjunct Treatment for Persistent Postural-Perceptual Dizziness Symptoms: A Preliminary Prospective Case Series

Persistent dizziness and balance deficits are common, often with unknown etiology. Persistent Postural-Perceptual Dizziness (3PD) is a relatively new diagnosis with symptoms that may include dizziness, unsteadiness, or non-vertiginous dizziness and be persistent the majority of time over a minimum of 90 days. The purpose of this case series was to investigate short-term outcomes of reducing dizziness symptoms using a manual therapy intervention focused on restoring mobility in the fascia using a pragmatically applied biomechanical approach, the Fascial Manipulation® method (FM®), in patients with 3PD. The preliminary prospective case series consisted of twelve (n = 12) patients with persistent complaints of dizziness who received systematic application of manual therapy to improve fascial mobility after previously receiving vestibular rehabilitation. The manual therapy consisted of strategic assessment and palpation based on the model proposed in the FM® Stecco Method. This model utilizes tangential oscillations directed toward the deep fascia at strategic points. Six males (n = 6) and females (n = 6) were included with a mean age of 68.3 ± 19.3 years. The average number of interventions was 4.5 ± 0.5. Nonparametric paired sample t-tests were performed. Significant improvements were observed toward the resolution of symptoms and improved outcomes. The metrics included the Dizziness Handicap Inventory and static and dynamic balance measures. The Dizziness Handicap Inventory scores decreased (i.e., improved) by 43.6 points (z = -3.1 and p = 0.002). The timed up and go scores decreased (i.e., improved) by 3.2 s (z = -2.8 and p = 0.005). The tandem left increased (i.e., improved) by 8.7 s (z = 2.8 and p = 0.005) and the tandem right increased (i.e., improved) by 7.5 s (z = 2.8 and p = 0.005). Four to five manual therapy treatment sessions appear to be effective for short-term improvements in dizziness complaints and balance in those with 3PD. These results should be interpreted with caution as future research using rigorous methods and a control group must be conducted.

A Closed-Loop Falls Monitoring and Prevention App for Multiple Sclerosis Clinical Practice: Human-Centered Design of the Multiple Sclerosis Falls InsightTrack

BACKGROUND

Falls are common in people with multiple sclerosis (MS), causing injuries, fear of falling, and loss of independence. Although targeted interventions (physical therapy) can help, patients underreport and clinicians undertreat this issue. Patient-generated data, combined with clinical data, can support the prediction of falls and lead to timely intervention (including referral to specialized physical therapy). To be actionable, such data must be efficiently delivered to clinicians, with care customized to the patient's specific context.

OBJECTIVE

This study aims to describe the iterative process of the design and development of Multiple Sclerosis Falls InsightTrack (MS-FIT), identifying the clinical and technological features of this closed-loop app designed to support streamlined falls reporting, timely falls evaluation, and comprehensive and sustained falls prevention efforts.

METHODS

Stakeholders were engaged in a double diamond process of human-centered design to ensure that technological features aligned with users' needs. Patient and clinician interviews were designed to elicit insight around ability blockers and boosters using the capability, opportunity, motivation, and behavior (COM-B) framework to facilitate subsequent mapping to the Behavior Change Wheel. To support generalizability, patients and experts from other clinical conditions associated with falls (geriatrics, orthopedics, and Parkinson disease) were also engaged. Designs were iterated based on each round of feedback, and final mock-ups were tested during routine clinical visits.

RESULTS

A sample of 30 patients and 14 clinicians provided at least 1 round of feedback. To support falls reporting, patients favored a simple biweekly survey built using REDCap (Research Electronic Data Capture; Vanderbilt University) to support bring-your-own-device accessibility-with optional additional context (the severity and location of falls). To support the evaluation and prevention of falls, clinicians favored a clinical dashboard featuring several key visualization widgets: a longitudinal falls display coded by the time of data capture, severity, and context; a comprehensive, multidisciplinary, and evidence-based checklist of actions intended to evaluate and prevent falls; and MS resources local to a patient's community. In-basket messaging alerts clinicians of severe falls. The tool scored highly for usability, likability, usefulness, and perceived effectiveness (based on the Health IT Usability Evaluation Model scoring).

CONCLUSIONS

To our knowledge, this is the first falls app designed using human-centered design to prioritize behavior change and, while being accessible at home for patients, to deliver actionable data to clinicians at the point of care. MS-FIT streamlines data delivery to clinicians via an electronic health record-embedded window, aligning with the 5 rights approach. Leveraging MS-FIT for data processing and algorithms minimizes clinician load while boosting care quality. Our innovation seamlessly integrates real-world patient-generated data as well as clinical and community-level factors, empowering self-care and addressing the impact of falls in people with MS. Preliminary findings indicate wider relevance, extending to other neurological conditions associated with falls and their consequences.

Risky movement: Assessing fall risk in people with multiple sclerosis with wearable sensors and beacon-based smart-home monitoring

BACKGROUND

People with multiple sclerosis (PwMS) fall frequently causing injury, social isolation, and decreased quality of life. Identifying locations and behaviors associated with high fall risk could help direct fall prevention interventions. Here we describe a smart-home system for assessing how mobility metrics relate to real-world fall risk in PwMS.

METHODS

We performed a secondary analysis of a dataset of real-world falls collected from PwMS to identify patterns associated with increased fall risk. Thirty-four individuals were tracked over eight weeks with an inertial sensor comprising a triaxial accelerometer and time-of-flight radio transmitter, which communicated with beacons positioned throughout the home. We evaluated associations between locations in the home and movement behaviors prior to a fall compared with time periods when no falls occurred using metrics including gait initiation, time-spent-moving, movement length, and an entropy-based metric that quantifies movement complexity using transitions between rooms in the home. We also explored how fall risk may be related to the percent of times that a participant paused while walking (pauses-while-walking).

RESULTS

Seventeen of the participants monitored sustained a total of 105 falls that were recorded. More falls occurred while walking (52%) than when stationary despite participants being largely sedentary, only walking 1.5±3.3% (median ± IQR) of the time that they were in their home. A total of 28% of falls occurred within one second of gait initiation. As the percentage of pauses-while-walking increased from 20 to 60%, the likelihood of a fall increased by nearly 3 times from 0.06 to 0.16%. Movement complexity, which was quantified using the entropy of room transitions, was significantly higher in the 10 min preceding falls compared with other 10-min time segments not preceding falls (1.15 ± 0.47 vs. 0.96 ± 0.24, P = 0.02). Path length was significantly longer (151.3 ± 156.1 m vs. 95.0 ± 157.2 m, P = 0.003) in the ten minutes preceding a fall compared with non-fall periods. Fall risk also varied among rooms but not consistently across participants.

CONCLUSIONS

Movement metrics derived from wearable sensors and smart-home tracking systems are associated with fall risk in PwMS. More pauses-while-walking, and more complex, longer movement trajectories are associated with increased fall risk.

FUNDING

Department of Veterans Affairs (RX001831-01A1). National Science Foundation (#2030859).

Fall risk is related to cognitive functioning in ambulatory multiple sclerosis patients

BACKGROUND AND AIMS

Patients with multiple sclerosis (PwMS) may suffer severely from falling and gait disturbance. Cognitive dysfunction, a common condition in MS patients, may also increase falling rates, regardless of physical disability. We planned this study to determine the fall rate and risk factors in MS patients, follow patients for falls, and reveal the relationship between falls and cognitive dysfunction.

METHODS

The study was conducted on 124 patients who have RRMS diagnoses. Patients' gait speed, simultaneous gait speed during other tasks, functions of the upper extremity, balance rating, and fear of falling were evaluated with dual-task Timed-Up-and-Go-3 versions (TUG, TUG-C, TUG-M), Timed 25 Foot Walk (T25WFT), Nine Hole Peg Test (9HPT), Berg Balance Scale (BBS) and Falls Efficacy Scale-International (FES-I) tests. Cognitive functions, fatigue levels, and quality of life were measured with the Symbol Digit Modalities Test (SDMT), Fatigue Severity Scale (FSS), and Multiple Sclerosis Quality of Life (MSQoL) test. Two groups were formed as "fallers" and "non-faller patients". We monitored the patients in six months period.

RESULTS

Forty-six patients fell at least once in the last one year before the study began. Fallers were older, less educated, had lower SDMT scores and higher disability scores. Non-faller patients scored lower in FES-I, TUG, and FSS tests. SDMT scores showed statistically significant, linear, positive, and moderate correlation with BBS and 9HPT scores (r = 0.307, p = 0.038, and r = 0.320, p = 0.030, respectively).

CONCLUSION

We determined that advanced age, lower education level, and cognitive dysfunction adversely affect gait speed and balance. Among the fallers, those with lower SDMT and MoCA scores had higher falling rates. We determined that EDSS and BBS scores are predictive factors for falls in patients with MS. In conclusion, patients with cognitive impairment should be closely monitored for the risk of falling. Consideration of falls during follow-up examinations might be predictive of cognitive deterioration in patients with MS.

Non-Immersive Virtual Reality Telerehabilitation System Improves Postural Balance in People with Chronic Neurological Diseases

BACKGROUND

People with chronic neurological diseases, such as Parkinson's Disease (PD) and Multiple Sclerosis (MS), often present postural disorders and a high risk of falling. When difficulties in achieving outpatient rehabilitation services occur, a solution to guarantee the continuity of care may be telerehabilitation. This study intends to expand the scope of our previously published research on the impact of telerehabilitation on quality of life in an MS sample, testing the impact of this type of intervention in a larger sample of neurological patients also including PD individuals on postural balance.

METHODS

We included 60 participants with MS and 72 with PD. All enrolled subjects were randomized into two groups: 65 in the intervention group and 67 in the control group. Both treatments lasted 30-40 sessions (5 days/week, 6-8 weeks). Motor, cognitive, and participation outcomes were registered before and after the treatments.

RESULTS

All participants improved the outcomes at the end of the treatments. The study's primary outcome (Mini-BESTest) registered a greater significant improvement in the telerehabilitation group than in the control group.

CONCLUSIONS

Our results demonstrated that non-immersive virtual reality telerehabilitation is well tolerated and positively affects static and dynamic balance and gait in people with PD and MS.

Development of an international, multidisciplinary, patient-centered Standard Outcome Set for Multiple Sclerosis: The S.O.S.MS project

BACKGROUND

Currently, outcomes of Multiple Sclerosis (MS) are not standardized and it is unclear which outcomes matter most to people living with MS. A consensus between patients and healthcare professionals on which outcomes to measure and how, would facilitate a move towards value-based MS care.

OBJECTIVE

to develop an internationally accepted, patient-relevant Standard Outcome Set for MS (S.O.S.MS).

METHODS

A mixed-method design was used, including a systematic literature review, four patient focus groups (n=30) and a RAND-modified Delphi process with seventeen MS experts of five disciplines from seven countries (the Netherlands, United States of America, Portugal, Ireland, India, New Zealand, Switzerland and Turkey).

RESULTS

A standard outcome set for MS was defined, consisting of fourteen outcomes divided in four domains: disease activity (n=3), symptoms (n=4), functional status (n=6), and quality of life (n=1). For each outcome, an outcome measure was selected and the measurement protocol was defined. In addition, seven case-mix variables were selected.

CONCLUSION

This standard outcome set provides a guideline for measuring outcomes of MS in clinical practice and research. Using this set to monitor and (inter)nationally benchmark real-world outcomes of MS can support improvement of patient value and ultimately guide the transition towards value-based MS care.

MULTİPL SKLEROZLU BİREYLERDE STABİLİTE LİMİTLERİ VE DÜŞME RİSKİ ARASINDAKİ İLİŞKİNİN İNCELENMESİ

Amaç: Bu çalışmanın amacı, Multipl Skleroz (MS)’lu bireylerde stabilite limitleri (SL) ile düşme riski arasındaki ilişkiyi incelemektir. Yöntem: Çalışmaya 18-50 yaş aralığında, Expanded Disability Status Scale (EDSS) skoru ≤ 4, son 6 ay içerisinde atak geçirmeyen ve son 6 ay içerisinde düşme hikâyesi olan 30 MS’li birey dâhil edildi. Bireylerin demografik bilgileri kaydedildi. Dört yöndeki (anterior, posterior, lateral- sol, sağ) SL, Bertec Balance Check ScreenerTM (Model BP5050; Bertec Corporation, Columbus, OH, USA) ile değerlendirildi. Düşme riski ise Zamanlı Kalk ve Yürü Testi (ZKYT) ile değerlendirildi. Dört yöndeki SL ile ZKYT skoru arasındaki ilişkileri incelemek için Spearman korelasyon testi kullanıldı. Sonuçlar: Çalışmaya katılan 30 bireyin (18 kadın, 12 erkek) yaş ortalaması 37,66±8,86 yıl idi. Anterior-posterior SL ile ZKYT skorları arasında negatif yönde iyi derecede (r =-0,616), lateral sol-sağ SL ile ZKYT skorları arasında negatif yönde orta derecede (r =-0,463) anlamlı bir ilişki bulundu (p<0,05). Stabilite Limitleri Stabilite Skoru (SLSS) ile ZKYT skorları arasında ise negatif yönde iyi derecede (r =-0,683) anlamlı bir ilişki bulundu (p<0,05). Tartışma: MS’li bireylerde SL, düşme için önemli bir faktördür. Biyomekanik yeterliliğin ve dinamik dengenin önemli bir göstergesi olan SL azaldıkça düşme riski artmaktadır. Düşme yaşayan MS’li bireyler SL açısından mutlaka değerlendirilmeli ve rehabilitasyon programında SL’nin geliştirilmesine de yer verilmelidir.

Predicting falls in adults with multiple sclerosis using patient-reported measures: Are perceptions of dual-tasking missing?

BACKGROUND

Mobility challenges and cognitive impairments prominent in adults with multiple sclerosis (MS) significantly increase the risk of falling. Examining perceptions of how the simultaneous performance of completing motor and cognitive tasks impacts fall risk may have clinical utility. The purpose of this study was to identify the most significant self-reported predictors of falling including perceived dual-tasking.

METHODS

Participants included 79 individuals with MS were surveyed and reported their fall history over the previous 3 months and completed the Multiple Sclerosis Walking Scale -12 (MSWS-12), Modified Fatigue Impact Scale (MFIS), Falls Efficacy Scale International (FES-I), and two Dual-Task Questionnaires (DTQ), a previously published original one and a newly expanded version.

RESULTS

Of the sample, 63 were classified as non-fallers and 16 as fallers. Backward stepwise regression analysis revealed that perceived ambulation disability and dual-tasking best predicted fall status (sensitivity of 57.7%, specificity of 90.6%, area under the receiving operating curve of 0.81 (95% CI 0.70-0.92).

CONCLUSION

The inclusion of self-reported dual-tasking perceptions has utility in predicting fall risk. Effective assessment toward this end offers the potential for early detection and intervention.

Motor Cognitive Dual-Task Testing to Predict Future Falls in Multiple Sclerosis: A Systematic Review

BACKGROUND

Mobility and cognitive impairments are often associated with increased fall risk among people with multiple sclerosis (PwMS). However, evidence on the concurrent assessment of gait or balance and cognitive tasks (dual-task) to predict falls appears to be inconsistent.

OBJECTIVE

To summarize the ability of gait or balance dual-task testing to predict future falls among PwMS.

METHODS

Seven databases including PubMed, Embase, Web of Science, Scopus, CINHAL, SPORTDiscuss, and PsycINFO were searched from inception to May 2022. Two independent reviewers identified studies that performed a dual-task testing among adults with multiple sclerosis and monitored falls prospectively for at least 3 months. Both reviewers also evaluated the quality assessment of the included studies.

RESULTS

Eight studies with 484 participants were included in the review. Most studies (75%) indicated that dual-task testing and dual-task cost did not discriminate prospective fallers (⩾1 fall) and non-fallers (0 fall) and were not found as predictors of future falls. However, dual-task cost of walking velocity (OR = 1.23, 95% CI 0.98-4.45, P = .05) and dual-task of correct response rate of serial 7 subtraction (OR = 1.34, 95% CI 1.04-3.74, P = .02) were significantly associated with increased risk of recurrent falls (≥2 falls). Pattern of cognitive-motor interference was also associated with an increased risk of falling. All studies presented with strong quality.

CONCLUSION

The scarce evidence indicates that dual-task testing is not able to predict future falls among PwMS. Further research with more complex motor and cognitive tasks and longer-term fall monitoring is required before dual-task testing can be recommended as a predictor of future falls in this population.

Derivation of a screening tool for predicting the risk of falls in community-dwelling older adults with knee osteoarthritis

The aim of this study was to derive a screening tool for predicting the risk of falls in community-dwelling older adults with knee osteoarthritis. This prospective cohort study was conducted in four orthopedic clinics. The main outcome measure was falls or nonfalls for 5 months, and the predictors were sex, age, BMI, Kellgren-Lawrence grade, laterality, number of comorbidities, pharmacotherapy, physical therapy period, use of a cane, household, previous history of falls, visual analog scale for pain, one-leg standing test (OLST), five times sit-to-stand test (FTSST), and Frenchay activities index. Ninety outpatients (74 females and 16 males) with a mean (SD) age of 73.1 (9.3) years completed a 5-month follow-up. According to the binomial logistic regression analysis, previous history of falls [odds ratio (OR), 6.85; P = 0.019], OLST (OR, 5.97; P = 0.048), and FTSST (OR, 12.93; P = 0.034) were identified as risk factors for falls, and the clinical prediction rule was derived from these variables. The pretest probability of fallers in this study was 21.1% (19 of 90 participants). When the total screening tool score was three points (the participant scored one point for each item: previous history of falls, yes; OLST, ≤6.84 s; FTSST, ≥8.77 s), the positive likelihood ratio was 16:19, and the posttest probability increased to 81.3%. Therefore, this simple screening tool possesses potential clinical utility for identifying patients with knee osteoarthritis at high risk of falls in the future because it demonstrated sufficient diagnostic test accuracy.

Effects of Different Exercise Therapies on Balance Function and Functional Walking Ability in Multiple Sclerosis Disease Patients-A Network Meta-Analysis of Randomized Controlled Trials

The objective of this research is to assess the effects of seven different exercise therapies (aquatic exercise, aerobic exercise, yoga, Pilates, virtual reality exercise, whole-body vibration exercise, and resistance exercise) on the balance function and functional walking ability of multiple sclerosis disease patients. Materials and Methods: The effects of different exercise interventions on the balance function and functional walking ability in people with multiple sclerosis were assessed by searching five databases: PubMed, Embase, Cochrane Library, Web of Science, and CNKI; only randomized controlled trials were included. The included studies were assessed for risk of bias using the Cochrane assessment tool. Results: The RCTs were collected between the initial date of the electronic databases’ creation and May 2022. We included 31 RCTs with 904 patients. The results of the collected data analysis showed that yoga can significantly improve patients’ BBS scores (SUCRA = 79.7%) and that aquatic exercise can significantly decrease patients’ TUG scores (SUCRA = 78.8%). Conclusion: Based on the network meta-analysis, we suggest that although each type of exercise is useful, yoga, virtual reality training, and aerobic training are more effective in improving the balance function of people with MS; aquatic exercise, virtual reality training, and aerobic training are more effective in improving the functional walking ability of people with MS.

Identifying falls remotely in people with multiple sclerosis

BACKGROUND

Falling is common in people with multiple sclerosis (MS) but tends to be under-ascertained and under-treated.

OBJECTIVE

To evaluate fall risk in people with MS.

METHODS

Ninety-four people with MS, able to walk > 2 min with or without an assistive device (Expanded Disability Status Scale (EDSS ≤ 6.5) were recruited. Clinic-based measures were recorded at baseline and 1 year. Patient-reported outcomes (PROs), including a fall survey and the MS Walking Scale (MSWS-12), were completed at baseline, 1.5, 3, 6, 9, and 12 months. Average daily step counts (STEPS) were recorded using a wrist-worn accelerometer.

RESULTS

50/94 participants (53.2%) reported falling at least once. Only 56% of participants who reported a fall on research questionnaires had medical-record documented falls. Fallers had greater disability [median EDSS 5.5 (IQR 4.0-6.0) versus 2.5 (IQR 1.5-4.0), p < 0.001], were more likely to have progressive MS (p = 0.003), and took fewer STEPS (mean difference - 1,979, p = 0.007) than Non-Fallers. Stepwise regression revealed MSWS-12 as a major predictor of future falls.

CONCLUSIONS

Falling is common in people with MS, under-reported, and under-ascertained by neurologists in clinic. Multimodal fall screening in clinic and remotely may help improve patient care by identifying those at greatest risk, allowing for timely intervention and referral to specialized physical rehabilitation.

Is there a relationship between fall status, cognition and cerebellar lobule volume in patients with multiple sclerosis?

In this prospective case control study, relationship of detailed cerebellar volumetric data and cognition in patients with multiple sclerosis considering falling status using 3 D MRI and network analysis were evaluated. Participants consist of 106 adults with relapsing-remitting multiple sclerosis. Scores of Montreal cognitive assessment test, symbol digit modality Test, nine-hole peg test, berg balance scale test, timed up and go test, timed 25-foot walk test were worse in faller group than non faller group (p < 0.05 for all tests). There was no significant difference in terms of cerebellar lobule volumes between groups. But using artificial intelligence (AI) based network analysis, we brought a new perspective to interpreting the relationship between the cerebellum, cognition, gait, and balance. Overall, data from the study suggest a possible relationship between cerebellar volume changes and cognitive dysfunction through connectivity analysis in patients with multiple sclerosis. Further studies are needed to examine this issue by using connectivity analysis.

Outcome measures assisting treatment optimization in multiple sclerosis

Objective

To review instruments used to assess disease stability or progression in persons with multiple sclerosis (pwMS) that can guide clinicians in optimizing therapy.

Methods

A non-systematic review of scientific literature was undertaken to explore modalities of monitoring symptoms and the disease evolution of MS.

Results

Multiple outcome measures, or tools, have been developed for use in MS research as well as for the clinical management of pwMS. Beginning with the Expanded Disability Status Scale, introduced in 1983, clinicians and researchers have developed monitoring modalities to assess all aspects of MS and the neurological impairment it causes.

Conclusions

Much progress has been made in recent decades for the management of MS and for the evaluation of disease progression. New technology, such as wearable sensors, will provide new opportunities to better understand changes in function, dexterity, and cognition. Essential work over the decades since EDSS was introduced continues to improve our ability to treat this debilitating disease.

Risk factors for falling for people with Multiple Sclerosis identified in a prospective cohort study

OBJECTIVE

To identify risk factors for falling for people with Multiple Sclerosis.

DESIGN

Prospective cohort study.

SETTING

Neurology service in a tertiary hospital.

SUBJECTS

Participants were 101 people with Multiple Sclerosis and Expanded Disability Status Score of 3-6.5. One participant withdrew after the baseline assessment; data were analysed for 100 participants.

INTERVENTIONS

No intervention.

MAIN MEASURES

Outcome was rate of falls, and predictors were Timed Up and Go, Symbol Digit Modalities test, demographics and 15 self-report questions about various symptoms including fatigue, concentration, dual tasking, bladder and bowel control. Three-month prospective diaries recorded falls.

RESULTS

There were 791 falls reported over the 3-month period from a total of 56 fallers. Falls rate per person-year was 32.08 falls. Following multivariable regression analysis, the model with the greatest levels of clinical utility and discriminative ability (sensitivity 88% and area under the receiving operating curve statistic = 0.72, 95% CI 0.62-0.82), included the variables of history of a fall, not having visual problems, problems with bladder control and a slower speed on the Timed Up and Go.

CONCLUSION

This study confirms the high incidence of falls for people with Multiple Sclerosis and provides a risk prediction model including fall history, problems with bladder control, not having visual problems and a slower Timed Up and Go speed that may be used to identify those at greater risk and in need of tailored falls prevention intervention.

Are falls in people with multiple sclerosis related to the severity of urinary disorders?

BACKGROUND

Lower urinary tract symptoms (LUTSs), especially overactive bladder, are frequent in people with multiple sclerosis (PwMS). Urinary urgency and urge urinary incontinence could lead to precipitation and thus could increase the risk of falling in these individuals.

OBJECTIVE

We aimed to assess the association between severity of LUTSs and risk of falling in PwMS.

METHODS

PwMS with LUTSs were recruited in a neuro-urology department. Participants were asked about the number of falls in the past 3 months and their circumstances. Severity of LUTSs was assessed by the Urinary Symptoms Profile (USP) score, and individuals were classified as with or without urinary incontinence.

RESULTS

This cross-sectional study included 154 patients (69% women); the mean (SD) age was 50.1 (11.5) years and median EDSS was 5 (interquartile range 3-6). Overall, 20 (13%) patients reported one fall during the past 3 months, and 43 (28%) reported at least 2 falls. Only 9 (6%) patients reported a fall on the way to the toilet, 6 during a urinary urgency. No link was found between falls and urinary incontinence (P=0.71), type or severity of urinary symptoms (overactivity, voiding dysfunction or stress incontinence, P>0.05). Falls on the way to the bathroom was associated with high USP score related to overactive bladder (P=0.03) and severe nocturia (>2 nocturnal micturitions) (P<0.01). Falling at night was also associated with severe nocturia (P<0.001).

CONCLUSIONS

The severity of LUTSs and presence of urinary incontinence do not appear related to the risk of falling in PwMS and urinary disorders but rather to the specific risk of falling on the way to the bathroom. Severe nocturia increases the risk of falling at night. Further studies are needed to assess the impact of LUTS treatment on the risk of falling. ClinicalTrials.gov (NCT04338646).

Fall definitions, faller classifications and outcomes used in falls research among people with multiple sclerosis: a systematic review

Purpose: To identify the definitions of a fall, faller classifications and outcomes used in prospectively-recorded falls research among people with Multiple Sclerosis (MS).Methods: A systematic review of peer-reviewed journal articles was conducted using electronic databases. Relevant data were extracted by one reviewer and verified by a second independent reviewer.Results: Twenty-six papers met the inclusion criteria. A relative degree of heterogeneity existed amongst studies for the outcomes of interest to this review. Thirteen different fall definitions were identified. Fourteen different falls outcomes were used across the included studies, with six of these reported by only one study each. Data regarding injurious falls were presented by only eight papers. The majority (n = 17) of papers classified individuals as a faller if they fell at least once.Conclusions: This review highlights the large variation in fall definitions, faller classifications and outcomes used in this research field. This hinders cross-comparison and pooling of data, thereby preventing researchers and clinicians from drawing conclusive findings from existing literature. The creation of an international standard for the definition of a fall, faller classification and falls outcomes would allow for transparent and coordinated falls research for people with MS, facilitating progression in this research field.Implications for rehabilitationFalls are a common occurrence among people with Multiple Sclerosis (MS) resulting in numerous negative consequences.There is large heterogeneity in the definitions, methods and outcomes used in falls research for people with MS.This lack of standardisation prevents the accurate cross-comparison and pooling of data, impeding the identification of falls risk factors and effective falls prevention interventions for people with MS.Consequently, clinicians should interpret the outcomes of falls research for people with MS with caution, particularly when comparing studies regarding falls risk assessments and falls prevention interventions for use in clinical practice.