Risk Of Fall-related Injuries Research Articles

Association of oxaliplatin-containing adjuvant duration with post-treatment fall-related injury and fracture in patients with stage III colon cancer: a population-based retrospective cohort study

PurposeOxaliplatin-containing adjuvant chemotherapy yields a significant survival benefit in stage III colon cancer and is the standard of care. Simultaneously, it causes dose-dependent peripheral neuropathy that may increase the risk of fall-related injury (FRI) such as fracture and laceration. Because these events carry significant morbidity and the global burden of colon cancer is on the rise, we examined the association between treatment with a full versus shortened course of adjuvant chemotherapy and post-treatment FRI and fracture.MethodsIn this overlap propensity score weighted, retrospective cohort study, we included patients aged ≥ 18 years with resected stage III colon cancer diagnosed 2007–2019 and treated with oxaliplatin-containing adjuvant chemotherapy (oxaliplatin plus a fluoropyrimidine; capecitabine [CAPOX] or 5-fluorouracil and leucovorin [FOLFOX]). Propensity score methods facilitate the separation of design from analysis and comparison of baseline characteristics across the weighted groups. Treatment groups were defined as 50% (4 cycles CAPOX/6 cycles FOLFOX) and > 85% (7–8 cycles CAPOX/11–12 cycles FOLFOX) of a maximal course of adjuvant chemotherapy to approximate the treatment durations received in the IDEA collaboration. The main outcomes were time to any FRI and time to fracture. We determined the subdistribution hazard ratios (sHR) estimating the association between FRI/fracture and treatment group, accounting for the competing risk of death.ResultsWe included 3,461 patients; 473 (13.7%) received 50% and 2,988 (86.3%) received > 85% of a maximal course of adjuvant therapy. For post-treatment FRI, median follow-up was 4.6 years and total follow-up was 17,968 person-years. There were 508 FRI, 301 fractures, and 692 deaths. Treatment with > 85% of a maximal course of therapy conferred a sHR of 0.84 (95% CI 0.62–1.13) for post-treatment FRI and a sHR of 0.72 (95% CI 0.49–1.06) for post-treatment fracture.ConclusionFor patients with stage III colon cancer undergoing treatment with oxaliplatin-containing adjuvant chemotherapy, any potential neuropathy associated with longer durations of treatment was not found to result in greater rates of FRI and fracture. Within the limits of this retrospective study, our findings suggest concern about FRI, while mechanistically plausible, ought not to determine treatment duration.

Sedentary Behaviour and Fall-related Injuries in Aging Adults: Results from the Canadian Longitudinal Study on Aging (CLSA).

Falls, and more specifically, fall-related injuries, are costly to the healthcare system and can harm one's autonomy. To study the impact of sedentary behaviour associated with fall-related injuries and how a change in sedentary behaviour may impact the risk of a fall-related injury. From baseline to the first follow-up, cross-sectional and longitudinal data analysis from the Canadian Longitudinal Study of Aging (CLSA) cohort. CLSA data from 43,558 Canadians aged 45-85 were included in this study. At baseline and follow-up, sedentary behaviour time was categorized as low (<1,080 minutes/week), moderate (1,080-1,440), or high (>1,440). Sedentary behaviour was estimated via the Physical Activity Scale for the Elderly (PASE). At follow-up, participants were dichotomized as either increased or decreased/no change in sedentary behaviour according to their categorical change between time points. Sedentary behaviour was associated with fall-related injuries independently of age, sex, number of chronic conditions, and total physical activity levels OR (95%CI) 1.10 (1.05-1.15). In contrast, a change in sedentary behaviour was not associated with the risk of fall-related injury 1.00 (0.92-1.01). A higher level of sedentary behaviour is associated with injurious falls for people between 40 and 80 years old. However, a short-term change in sedentary behaviour does not influence the risk of injury-related falls. Despite the results, a more precise measure of sedentary behaviour is needed for epidemiology studies to capture changes over time better.

Finite Element Analysis of Energy-Absorbing Floors for Reducing Head Injury Risk during Fall Accidents

Energy-absorbing floor (EAF) has been proposed as one of several biomechanically effective strategies to mitigate the risk of fall-related injuries by decreasing peak loads and enhancing system energy absorption. This study aims to compare the protective capacity of four commercially available EAF products (Igelkott Floor, Kradal, SmartCells, and OmniSports) in terms of head impacts using the finite element (FE) method. The stress–strain curves acquired from mechanical tests were applied to material models in LS-Dyna. The established FE models were then validated using Hybrid III or hemispheric drop tests to compare the acceleration–time curves between experiments and simulations. Finally, the validated FE models were utilized to simulate a typical pedestrian fall accident scenario. It was demonstrated that EAFs can substantially reduce the peak forces, acceleration, and velocity changes during fall-related head impacts. Specifically, in the accident reconstruction scenario, SmartCells provided the largest reduction in peak linear acceleration and skull fracture risk, while Igelkott Floor provided the largest reduction in peak angular velocity and concussion risk. This performance was caused by different energy absorption mechanisms. Consequently, the results can contribute to supporting the implementation of EAFs and determine the effectiveness of various protective strategies for fall-related head injury prevention.

Posture analysis in predicting fall-related injuries during French Navy Special Forces selection course using machine learning: a proof-of-concept study

IntroductionInjuries induced by falls represent the main cause of failure in the French Navy Special Forces selection course. In the present study, we made the assumption that probing the posture...

Development and validation of a machine learning-based fall-related injury risk prediction model using nationwide claims database in Korean community-dwelling older population

BackgroundFalls impact over 25% of older adults annually, making fall prevention a critical public health focus. We aimed to develop and validate a machine learning-based prediction model for serious fall-related injuries (FRIs) among community-dwelling older adults, incorporating various medication factors.MethodsUtilizing annual national patient sample data, we segmented outpatient older adults without FRIs in the preceding three months into development and validation cohorts based on data from 2018 and 2019, respectively. The outcome of interest was serious FRIs, which we defined operationally as incidents necessitating an emergency department visit or hospital admission, identified by the diagnostic codes of injuries that are likely associated with falls. We developed four machine-learning models (light gradient boosting machine, Catboost, eXtreme Gradient Boosting, and Random forest), along with a logistic regression model as a reference.ResultsIn both cohorts, FRIs leading to hospitalization/emergency department visits occurred in approximately 2% of patients. After selecting features from initial set of 187, we retained 26, with 15 of them being medication-related. Catboost emerged as the top model, with area under the receiver operating characteristic of 0.700, along with sensitivity and specificity rates around 65%. The high-risk group showed more than threefold greater risk of FRIs than the low-risk group, and model interpretations aligned with clinical intuition.ConclusionWe developed and validated an explainable machine-learning model for predicting serious FRIs in community-dwelling older adults. With prospective validation, this model could facilitate targeted fall prevention strategies in primary care or community-pharmacy settings.

Clinical gait analysis in older children with autism spectrum disorder

Individuals with autism spectrum disorder (ASD) often exhibit motor deficits that increase their risk of falls. There is a lack of understanding regarding gait biomechanics demonstrated by older children with ASD. The purpose of the study was to determine differences in gait patterns between older children with ASD and typically developing children. Eleven children with ASD and 11 age- and gender-matched typically developing children were recruited for the study. Participants walked on a force-instrumented treadmill at a constant speed (1.1 ​m/s ​- ​1.2 ​m/s) for five minutes (min). Participants performed maximal voluntary contractions to assess their knee muscular strength. Differences between individuals with ASD and matched control participants were examined through paired t-tests with a significance level of p ​≤ ​0.05. Individuals with ASD demonstrated a smaller knee extensor torque compared to controls (p ​= ​0.002). Participants with ASD exhibited a shorter stride length (p ​= ​0.04), a greater cadence (p ​= ​0.03), and a higher variation in stride width (p ​= ​0.04) compared to control participants. The individuals with ASD experienced a greater braking ground reaction force (p ​= ​0.03) during loading response. The results indicate older children with ASD develop a unique gait pattern signified by a reduced stride length, increased cadence, and an increase of variation in stride width. This unique gait pattern may represent a movement strategy used by the individuals with ASD to compensate for the weakness associated with their knee extensor muscles. Individuals with ASD who demonstrate these unique gait deviations may face reduced postural stability and an increased risk of fall-related injuries.

Effects of Vertical-Axial Dominant and Multi-Axial Vibration on Postural Stability

This repeated-measures laboratory study characterized the relative impacts of vertical-axial dominant and multi-axial Whole-Body Vibration (WBV) exposures on postural stability. Eleven healthy participants were exposed to field-measured vibration profiles collected from on-road commercial (vertical-dominant WBV) and off-road mining vehicles (multi-axial WBV) for four hours on two different days. Before and after the exposure, postural stability was evaluated while participants performed sit-to-stand tasks followed by static standing tasks. Overall, the study results indicate that off-road, multi-axial WBV may compromise postural stability more so than on-road, vertical-dominant WBV. These findings may suggest that off-road vehicle operators are at a greater risk of fall-related injuries. Therefore, there is a critical need to develop more effective vibration control measures among off-road vehicle operators.

Medications influencing the risk of fall-related injuries in older adults: case–control and case-crossover design studies

BackgroundMedications influencing the risk of fall-related injuries (FRIs) in older adults have been inconsistent in previous guidelines. This study employed case–control design to assess the association between FRIs and medications, and an additional case-crossover design was conducted to examine the consistency of the associations and the transient effects of the medications on FRIs.MethodsThis study was conducted using a national claims database (2002–2015) in Korea. Older adults (≥ 65 years) who had their first FRI between 2007 and 2015 were matched with non-cases in 1:2 ratio. Drug exposure was examined for 60 days prior to the date of the first FRI (index date) in the case–control design. The hazard period (1–60 days) and two control periods (121–180 and 181–240 days prior to the index date) were investigated in the case-crossover design. The risk of FRIs with 32 medications was examined using conditional logistic regression after adjusting for other medications that were significant in the univariate analysis. In the case-crossover study, the same conditional model was applied.ResultsIn the case–control design, the five medications associated with the highest risk of FRIs were muscle relaxants (adjusted odd ratio(AOR) = 1.35, 95% confidence interval (CI) = 1.31–1.39), anti-Parkinson agents (AOR = 1.30, 95%CI = 1.19–1.40), opioids (AOR = 1.23, 95%CI = 1.19–1.27), antiepileptics (AOR = 1.19, 95%CI = 1.12–1.26), and antipsychotics (AOR = 1.16, 95%CI = 1.06–1.27). In the case-crossover design, the five medications associated with the highest risk of FRIs were angiotensin II antagonists (AOR = 1.87, 95%CI = 1.77–1.97), antipsychotics (AOR = 1.63, 95%CI = 1.42–1.83), anti-Parkinson agents (AOR = 1.58, 95%CI = 1.32–1.85), muscle relaxants (AOR = 1.42, 95%CI = 1.35–1.48), and opioids (AOR = 1.35, 95%CI = 1.30–1.39).ConclusionsAnti-Parkinson agents, opioids, antiepileptics, antipsychotics, antidepressants, hypnotics and sedatives, anxiolytics, muscle relaxants, and NSAIDs/antirheumatic agents increased the risk of FRIs in both designs among older adults. Medications with a significant risk only in the case-crossover analysis, such as antithrombotic agents, calcium channel blockers, angiotensin II antagonists, lipid modifying agents, and benign prostatic hypertrophy agents, may have transient effects on FRIs at the time of initiation. Corticosteroids, which were only associated with risk of FRIs in the case–control analysis, had more of cumulative than transient effects on FRIs.

Characteristics &amp; Consequences of Falls Among People With Multiple Sclerosis Who Use Wheelchairs or Scooters

Abstract Date Presented 04/22/2023 People with multiple sclerosis (MS) who use wheelchairs or scooters are at high risk of fall-related injuries. There is a critical need for appropriate interventions aiming to reduce fall-related injuries by promoting safe wheelchair-transfer strategies in people with MS. Primary Author and Speaker: Nida' Al Worikat Additional Authors and Speakers: Tobia Zanotto Contributing Authors: Jacob Sosnoff, Deborah Backus, Rebecca Yarnot, Laura Rice

Antidepressants and the Risk of Fall-Related Injury in Older Adults with Incident Depression in the United States: A Comparative Safety Analysis

Though it is well documented that antidepressants are associated with an increased risk of falls in older adults at the drug class level, the comparative risk between individual antidepressants for fall injury in older adults with depression is unknown. Currently, clinicians are making decisions at the drug class level without consideration of the potential that there could be safer choices within classes. We compared the risk of fall injury among initiators of bupropion, duloxetine, fluoxetine, paroxetine, and venlafaxine to those of (es)citalopram and, separately, sertraline. We performed a retrospective cohort study using the MarketScan® Medicare Supplemental claims from 2007 to 2019. Individuals had incident depression (washout in previous continually enrolled year) with a first antidepressant claim up to three months after depression diagnosis. Individuals were followed for the first three months of antidepressant use until the first occurrence of fall injury, change/discontinuation of antidepressant, discontinued insurance coverage, or end of study. Propensity score inverse probability of treatment-weighted Cox proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals for each antidepressant comparison and fall injury. We identified 114,505 individuals (mean age 76.6 years, 68% female, 97% without prior fall). A higher risk of fall injury was associated with initiating bupropion (HR 1.20 to 1.61), duloxetine (HR 1.27 to 1.36), paroxetine (HR 1.14 to 1.22), and venlafaxine (HR 1.22 to 1.34) when compared to (es)citalopram or sertraline. New use of duloxetine, bupropion, paroxetine, and venlafaxine was associated with a higher risk of fall injury compared to (es)citalopram and sertraline.

High Prescribing and State-Level Variation in Z-Drug Use Among Medicare Patients.

Z-drugs are nonbenzodiazepine hypnotics used for sleep initiation and maintenance; these drugs increase the risk of fall-related injuries in older adults. The American Geriatrics Society's Beers criteria classifies Z-drugs as high-risk and strongly recommends avoiding prescribing Z-drugs to older adults due to adverse effects. The study objectives were to determine the prevalence of Z-drug prescribing among Medicare Part D patients and identify state or specialty-dependent prescribing differences. This study also aimed to determine prescribing patterns of Z-drugs to Medicare patients. Z-drug prescription data was extracted from the Centers for Medicare and Medicaid Services State Drug Utilization Data for 2018. For all 50 states, the number of prescriptions per 100 Medicare enrollees and days-supply per prescription was determined. The percentage of total prescriptions prescribed by each specialty and the average number of prescriptions per provider within each specialty was also determined. Zolpidem was the most prescribed Z-drug (95.0%). Prescriptions per 100 enrollees were significantly high in Utah (28.2) and Arkansas (26.7) and significantly low in Hawaii (9.3) relative to the national average (17.5). Family medicine (32.1%), internal medicine (31.4%), and psychiatry (11.7%) made up the largest percentages of total prescriptions. The number of prescriptions per provider was significantly high among psychiatrists. Contrary to the Beers criteria, Z-drugs are prescribed to older adults at high rates.

Characteristics and consequences of falls among people with multiple sclerosis who use wheelchairs or scooters: Differences between injurious and non-injurious falls.

Falls are common among people living with multiple sclerosis (MS) who use wheelchairs or scooters. Falls may lead to severe consequences including physical injuries. However, very little is known about the circumstances associated with injurious falls in this population. Therefore, we aimed to explore the differences in fall-related characteristics between injurious and non-injurious falls among people with MS who use wheelchairs or scooters. A convenience sample of 48 people with MS (age=62.0 [13.0] years, gender=81.3% female, primary mobility aid=power wheelchair) completed a fall-history survey that examined the characteristics and consequences of their most recent fall. Participants also completed standard questionnaires on quality of life, community participation, and fear of falling. Most falls (85.4%) reported by participants occurred inside the house. Twelve (25.0%) participants reported experiencing fall-related injuries such as bruises, cuts, muscle strains, and fractures. People who reported being injured after a fall had a higher proportion of falls that occurred during transfers compared to those who were not injured (n=10, 83.3% vs n=17, 47.2%). Most participants (45.8%) did not receive any information from healthcare professionals on how to manage their fall-risk after their fall experience. No differences between injurious and non-injurious fallers in quality of life, community participation, and fear of falling were observed. This cross-sectional investigation provides compelling evidence that people with MS who use wheelchairs or scooters are at high risk of fall-related injuries. The study findings underscore the importance of increasing health care providers' awareness about the frequency and consequences of falls. Further, it demonstrates the critical need for evidence-based interventions specifically designed to minimize fall-related injuries in this vulnerable population.

Interpretable Machine Learning for Fall Prediction Among Older Adults in China

Falls in older adults are potentially devastating while an accurate fall risk prediction model for community-dwelling older Chinese is still lacking. The objective of this study was to build prediction models for falls and fall-related injuries among community-dwelling older adults in China. This study used data (wave 2015 and 2018) on 5,818 participants from the China Health and Retirement Longitudinal Study (CHARLS). 107 input variables at the baseline level were regarded as candidate features. Five machine learning algorithms were used to build the 3-year fall and fall-related injury risk prediction models. SHapley Additive exPlanations (SHAP) was used for the prediction model explanation. Analyses were conducted in 2022. The Logistic regression (LR) model achieved the best performance among fall and fall-related injury prediction models with an area under the receiver operating characteristic curve (AUC-ROC) of 0.739 and 0.757, respectively. Experience of falling was the most important feature in both models. Other important features included basic activity of daily living (BADL), instrumental activity of daily living (IADL), depressivesymptoms, house tidiness, grip strength and sleep duration. The important features unique to the fall model were house temperature, sex and flush toilets, while lung function, smoking and Internet access were exclusively related to the fall-related injury model. This study suggests that the optimal models hold promise for screening out older adults at high risk for falls in facilitated targeted interventions. Fall prevention strategies should specifically focus on fall history, physical functions, psychological factors and home environment.

Development and validation of the fall-related injury risk in nursing homes (INJURE-NH) prediction tool.

Existing models to predict fall-related injuries (FRI) in nursing homes (NH) focus on hip fractures, yet hip fractures comprise less than half of all FRIs. We developed and validated a series of models to predict the absolute risk of FRIs in NH residents. Retrospective cohort study of long-stay US NH residents (≥100 days in the same facility) between January 1, 2016 and December 31, 2017 (n=733,427) using Medicare claims and Minimum Data Set v3.0 clinical assessments. Predictors of FRIs were selected through LASSO logistic regression in a 2/3 random derivation sample and tested in a 1/3 validation sample. Sub-distribution hazard ratios (HR) and 95% confidence intervals (95% CI) were estimated for 6-month and 2-year follow-up. Discrimination was evaluated via C-statistic, and calibration compared the predicted rate of FRI to the observed rate. To develop a parsimonious clinical tool, we calculated a score using the five strongest predictors in the Fine-Gray model. Model performance was repeated in the validation sample. Mean (Q1, Q3) age was 85.0 (77.5, 90.6) years and 69.6% were women. Within 2 years of follow-up, 43,976 (6.0%) residents experienced ≥1 FRI. Seventy predictors were included in the model. The discrimination of the 2-year prediction model was good (C-index=0.70), and the calibration was excellent. Calibration and discrimination of the 6-month model were similar (C-index=0.71). In the clinical tool to predict 2-year risk, the five characteristics included independence in activities of daily living (ADLs) (HR 2.27; 95% CI 2.14-2.41) and a history of non-hip fracture (HR 2.02; 95% CI 1.94-2.12). Performance results were similar in the validation sample. We developed and validated a series of risk prediction models that can identify NH residents at greatest risk for FRI. In NH, these models should help target preventive strategies.

Prevalence and related factors of possible sarcopenia among Thai community-dwelling older adults

Sarcopenia is a geriatric syndrome that increases the risk of fall-related injury. Low muscle strength with or without reduced physical performance is used to identify possible sarcopenia, or those at risk of sarcopenia. To date, there is limited evidence available regarding the situation of sarcopenia risk among Thai older adults. Our study evaluated the prevalence of possible sarcopenia and determined the related factors among Thai community-dwelling older adults. Information about socio-demography, chewing difficulty, and food consumption was collected by interview as well as anthropometric measurements. Possible sarcopenia was defined using the recommendation of the 2019 Asian Working Group for Sarcopenia (AWGS) consensus. Factors that were related to possible sarcopenia were examined using multiple logistic regression, presented as adjusted odds ratios (AOR) and their 95% confidence intervals (CI). Participants were randomly selected using multi-stage sampling from population registers provided by local village health staff in selected sub-districts of Khon Kaen province. Among 510 older adults, the mean age was 69.1 (SD = 6.7) years, 67.3% were women, and 29.2% of them had chewing difficulty. The overall prevalence of possible sarcopenia was 32.2%. Women with high waist circumference (WC) had a higher rate of possible sarcopenia than men (25.9% and 10.5%, respectively). Factors relating to possible sarcopenia were chewing difficulty (AOR = 2.10; 95% CI: 1.36-3.22; p-value = 0.001), low mid-upper arm circumference or MUAC (AOR = 6.51; 95% CI: 3.40-12.47; p-value &lt; 0.001), and normal waist circumference or WC (AOR = 2.14; 95% CI: 1.35-3.39; p-value = 0.001). Possible sarcopenia was prevalent among Thai community-dwelling older adults. Chewing difficulty, low MUAC, and normal WC were related to possible sarcopenia. Dietary and exercise modifications in this population are therefore a good target for lessening the occurrence of possible sarcopenia.

Medication Prescribed Within One Year Preceding Fall-Related Injuries in Ontario Older Adults.

Serious injuries secondary to falls are becoming more prevalent due to the worldwide ageing of societies. Several medication classes have been associated with falls and fall-related injuries. The purpose of this study was to describe medication classes and the number of medication classes prescribed to older adults prior to the fall-related injury. This population-based descriptive study used secondary administrative health-care data in Ontario, Canada for 2010-2014. Descriptive statistics were reported for Anatomic Therapeutic Chemical 4th level medication classes. Frequency of medications prescribed to older adults was calculated on different sex, age groups, types of medications, and injures. Over five years (2010-2014), 288,251 older adults (63.2% females) were admitted to an emergency department for a fall-related injury (40.0% fractures, 12.1% brain injury). In the year before the injury, 48.5% were prescribed statins, 27.2% antidepressants, 25.0% opioids, and 16.6% anxiolytics. Females were prescribed more diuretics, antidepressants, and anxiolytics than males; and people aged 85 years and older had a higher percentage of diuretics, antidepressants, and antipsychotics. There were 36.4% of older adults prescribed 5-9 different medication classes and 41.2% were prescribed 10 or more medication classes. Older adults experiencing fall-related injuries were prescribed more opioids, benzodiazepines, and antidepressants than previously reported for the general population of older adults in Ontario. Higher percentage of females and more 85+ older adults were prescribed with psychotropic drugs, and they were also found to be at higher risk of fall-related injuries. Further associations between medications and fall-related injuries need to be explored in well-defined cohort studies.

Prescription characteristics associated with fall-related injury risk among older adults prescribed benzodiazepines: a cohort study

BackgroundBenzodiazepines (BZD) are widely prescribed to older adults despite their association with increased fall injury. Our aim is to better characterize risk-elevating factors among those prescribed BZD.MethodsA retrospective cohort study using a 20% sample of Medicare beneficiaries with Part D prescription drug coverage. Patients with a BZD prescription (“index”) between 1 April 2016 and 31 December 2017 contributed to incident (n=379,273) and continuing (n=509,634) cohorts based on prescriptions during a 6-month pre-index baseline. Exposures were index BZD average daily dose and days prescribed; baseline BZD medication possession ratio (MPR) (for the continuing cohort); and co-prescribed central nervous system-active medications. Outcome was a treated fall-related injury within 30 days post-index BZD, examined using Cox proportional hazards adjusting for demographic and clinical covariates and the dose prescribed.ResultsAmong incident and continuing cohorts, 0.9% and 0.7% experienced fall injury within 30 days of index. In both cohorts, injury risk was elevated immediately post-index among those prescribed the lowest quantity: e.g., for <14-day fill (ref: 14-30 days) in the incident cohort, risk was 37% higher the 10 days post-fill (adjusted hazard ratio [HR] 1.37 [95% confidence interval [CI] 1.19-1.59]). Risk was elevated immediately post-index for continuing users with low baseline BZD exposure (e.g., for MPR <0.5 [ref: MPR 0.5-1], HR during days 1-10 was 1.23 [CI 1.08-1.39]). Concurrent antipsychotics and opioids were associated with elevated injury risk in both cohorts (e.g., incident HRs 1.21 [CI 1.03-1.40] and 1.22 [CI 1.07-1.40], respectively; continuing HRs 1.23 [1.10-1.37] and 1.21 [1.11-1.33]).ConclusionsLow baseline BZD exposure and a small index prescription were associated with higher fall injury risk immediately after a BZD fill. Concurrent exposure to antipsychotics and opioids were associated with elevated short-term risk for both incident and continuing cohorts.

Clinical Application of Saphenous Nerve Transfer for Sensory Reconstruction of the Sole After Sciatic Nerve Injury: A Case Series

Sole sensation is essential for standing and walking. Moreover, lack of protective sensation of sole increases the risk of fall-related injuries. In the light of recent developments in nerve transfer, reconstruction of sole sensation can be achieved even in sciatic nerve injuries. Few researchers have addressed the problem of lack of potential donor nerve in proximal sciatic nerve injuries. The saphenous nerve has sufficient sensory fibers and is anatomically feasible to be used as a donor nerve to reconstruct sensation. To outline a new approach to restore the sensation of the sole using terminal branches of the saphenous nerve. In an attempt to restore sole sensation, 4 patients underwent saphenous nerve transfer to medial plantar and calcaneal branches. Highet-Zachary system scoring was used to evaluate sensory recovery in target regions (heel, metatarsal heads, and big toe). Of the study population, heel sensation recovered up to S3 in 1 case, S2 in 2 cases, and S1 in 1 case. Partial recovery of the metatarsal heads and the big toe was achieved in 2 cases. The findings of this study indicate that the saphenous nerve is a suitable and available donor to restore sole sensation in sciatic or posterior tibial nerve injuries.

Concurrent use of prescription gabapentinoids with opioids and risk for fall-related injury among older US Medicare beneficiaries with chronic noncancer pain: A population-based cohort study

BackgroundGabapentinoids are increasingly prescribed to manage chronic noncancer pain (CNCP) in older adults. When used concurrently with opioids, gabapentinoids may potentiate central nervous system (CNS) depression and increase the risks for fall. We aimed to investigate whether concurrent use of gabapentinoids with opioids compared with use of opioids alone is associated with an increased risk of fall-related injury among older adults with CNCP.Methods and findingsWe conducted a population-based cohort study using a 5% national sample of Medicare beneficiaries in the United States between 2011 and 2018. Study sample consisted of fee-for-service (FFS) beneficiaries aged ≥65 years with CNCP diagnosis who initiated opioids. We identified concurrent users with gabapentinoids and opioids days’ supply overlapping for ≥1 day and designated first day of concurrency as the index date. We created 2 cohorts based on whether concurrent users initiated gabapentinoids on the day of opioid initiation (Cohort 1) or after opioid initiation (Cohort 2). Each concurrent user was matched to up to 4 opioid-only users on opioid initiation date and index date using risk set sampling. We followed patients from index date to first fall-related injury event ascertained using a validated claims-based algorithm, treatment discontinuation or switching, death, Medicare disenrollment, hospitalization or nursing home admission, or end of study, whichever occurred first. In each cohort, we used propensity score (PS) weighted Cox models to estimate the adjusted hazard ratios (aHRs) with 95% confidence intervals (CIs) of fall-related injury, adjusting for year of the index date, sociodemographics, types of chronic pain, comorbidities, frailty, polypharmacy, healthcare utilization, use of nonopioid medications, and opioid use on and before the index date. We identified 6,733 concurrent users and 27,092 matched opioid-only users in Cohort 1 and 5,709 concurrent users and 22,388 matched opioid-only users in Cohort 2. The incidence rate of fall-related injury was 24.5 per 100 person-years during follow-up (median, 9 days; interquartile range [IQR], 5 to 18 days) in Cohort 1 and was 18.0 per 100 person-years during follow-up (median, 9 days; IQR, 4 to 22 days) in Cohort 2. Concurrent users had similar risk of fall-related injury as opioid-only users in Cohort 1(aHR = 0.97, 95% CI 0.71 to 1.34, p = 0.874), but had higher risk for fall-related injury than opioid-only users in Cohort 2 (aHR = 1.69, 95% CI 1.17 to 2.44, p = 0.005). Limitations of this study included confounding due to unmeasured factors, unavailable information on gabapentinoids’ indication, potential misclassification, and limited generalizability beyond older adults insured by Medicare FFS program.ConclusionsIn this sample of older Medicare beneficiaries with CNCP, initiating gabapentinoids and opioids simultaneously compared with initiating opioids only was not significantly associated with risk for fall-related injury. However, addition of gabapentinoids to an existing opioid regimen was associated with increased risks for fall. Mechanisms for the observed excess risk, whether pharmacological or because of channeling of combination therapy to high-risk patients, require further investigation. Clinicians should consider the risk–benefit of combination therapy when prescribing gabapentinoids concurrently with opioids.

Risk of Fall-Related Injuries Associated with Antidepressant Use in Elderly Patients: A Nationwide Matched Cohort Study.

Previous studies have reported a higher risk of falls among tricyclic antidepressant (TCA) users compared to selective serotonin reuptake inhibitor (SSRI) users, yet SSRIs are known as a safer antidepressant class for use in older adults. This study examined the effects of antidepressant use on the risk of fall-related injuries after classifying antidepressant drugs, polypharmacy, and central nervous system (CNS) drugs by therapeutic classes and identifying factors influencing risk of fall-related injuries. A retrospective matched cohort study based on propensity scores was conducted among older adults, aged 70–89 years, who initiated antidepressant use between 1 January 2012 and 31 December 2014 using the national health insurance system senior cohort in Korea. The proportional hazard Cox regression model was used to examine the association between fall-related injuries and antidepressants. The subgroup analyses were performed to assess the risk of fall-related injuries by the number of concurrently administered medications, therapeutic classes of antidepressants, and CNS class medications. This study found that duloxetine, escitalopram, paroxetine, amitriptyline, imipramine, and trazodone significantly increased the risk of fall-related injuries in older adults. When antidepressants were prescribed to older adults, prescribers carefully considered factors including the dose, number of concurrently administered medications, and therapeutic classes of CNS.