Drugs and falls in older people: a systematic review and meta-analysis: I. Psychotropic drugs

Predictive factors for postoperative delirium in thoracic surgery

OBJECTIVE

We examined cases in which delirium developed after thoracic surgery under general anesthesia at our hospital to determine the predictive factors for postoperative delirium, as well as the perioperative findings in cases showing postoperative delirium.

METHODS

This retrospective study included 1674 patients who underwent surgery under general anesthesia at our hospital between 2012 and 2022, A psychiatrist diagnosed postoperative delirium using the Confusion Assessment Method.

RESULTS

There were 99 (5.9%) patients with postoperative delirium in our study, including 85 (86%) men, of whom 31 (31%) had a history of cerebrovascular disease. The incidence of postoperative delirium in patients aged > 80 years was 20% (36/182). The postoperative delirium group showed significantly longer hospital stays and more frequent postoperative complications than the group without postoperative delirium. In univariate analysis, age ≥ 80 years, male sex, history of cerebrovascular disease, hypertension, history of atrial fibrillation, and history of smoking were identified as significant factors, while multivariate analysis identified age ≥ 80 years, male sex, history of cerebrovascular disease, hypertension, and history of smoking as significant factors (odds ratios = 5.15, 2.04, 3.10, 1.67, and 2.36, respectively). In the 169 cases with none of these five factors, the postoperative delirium risk was 0% (0/169).

CONCLUSIONS

In patients undergoing thoracic surgery, predictive factors for postoperative delirium include age ≥ 80 years, male sex, history of cerebrovascular disease, hypertension, and smoking history. The findings also indicate that patients with these risk factors may require psychiatric consultation before surgery.

Development and Delphi consensus validation of the Medication-Related Fall screening and scoring tool

BACKGROUND

Falls are a significant public health problem and constitute a major cause of injuries and mortality. Risk factors for falls are multifactorial and include medication use.

AIM

To develop and investigate the content validity of the Medication-Related fall (MRF) screening and scoring tool.

METHOD

The MRF tool was developed from clinical practice guidelines addressing medication-related problems, and additional medications identified by specialist pharmacists across a region of the United Kingdom (Northern Ireland). Medication classes were categorised according to their 'potential to cause falls' as: high-risk (three points), moderate-risk (two points) or low-risk (one point). The overall medication-related falls risk for the patient was determined by summing the scores for all medications. The MRF was validated using Delphi consensus methodology, whereby three iterative rounds of surveys were conducted using SurveyMonkey®. Twenty-two experts from 10 countries determined their agreement with the falls risk associated with each medication on a 5-point Likert scale. Only medications with at least 75% of respondents agreeing or strongly agreeing were retained in the next round.

RESULTS

Consensus was reached for 19 medications/medication classes to be included in the final version of the MRF tool; ten were classified as high-risk, eight as moderate-risk and one as low-risk.

CONCLUSION

The MRF tool is simple and has the potential to be integrated into medicines optimisation to reduce falls risk and negative fall-related outcomes. The score from the MRF tool can be used as a clinical parameter to assess the need for medication review and clinical interventions.

Development and internal validation of a dynamic fall risk prediction and monitoring tool in aged care using routinely collected electronic health data: a landmarking approach

OBJECTIVES

Falls pose a significant challenge in residential aged care facilities (RACFs). Existing falls prediction tools perform poorly and fail to capture evolving risk factors. We aimed to develop and internally validate dynamic fall risk prediction models and create point-based scoring systems for residents with and without dementia.

MATERIALS AND METHODS

A longitudinal cohort study using electronic data from 27 RACFs in Sydney, Australia. The study included 5492 permanent residents, with a 70%-30% split for training and validation. The outcome measure was the incidence of falls. We tracked residents for 60 months, using monthly landmarks with 1-month prediction windows. We employed landmarking dynamic prediction for model development, a time-dependent area under receiver operating characteristics curve (AUROCC) for model evaluations, and a regression coefficient approach to create point-based scoring systems.

RESULTS

The model identified 15 independent predictors of falls in dementia and 12 in nondementia cohorts. Falls history was the key predictor of subsequent falls in both dementia (HR 4.75, 95% CI, 4.45-5.06) and nondementia cohorts (HR 4.20, 95% CI, 3.87-4.57). The AUROCC across landmarks ranged from 0.67 to 0.87 for dementia and from 0.66 to 0.86 for nondementia cohorts but generally remained between 0.75 and 0.85 in both cohorts. The total point risk score ranged from -2 to 57 for dementia and 0 to 52 for nondementia cohorts.

DISCUSSION

Our novel risk prediction models and scoring systems provide timely person-centered information for continuous monitoring of fall risk in RACFs.

CONCLUSION

Embedding these tools within electronic health records could facilitate the implementation of targeted proactive interventions to prevent falls.

Polypharmacy and Associated Health Outcomes in the PARI-HD Study

Background

A growing body of evidence points to potential risks associated with polypharmacy (using ≥5 medications) in older adults, but most evidence is derived from studies where racial and ethnic minorities remain underrepresented among research participants.

Objective

Investigate the association between polypharmacy and cognitive function, subjective health state, frailty, and falls in Hispanic older adults.

Methods

Panama Aging Research Initiative-Health Disparities (PARI-HD) is a community-based cohort study of older adults free of dementia at baseline. Cognitive function was measured with a neuropsychological test battery. Frailty assessment was based on the Fried criteria. Subjective health state and falls were self-reported. Linear and multinomial logistic regression analyses were used to examine association.

Results

Baseline evaluations of 468 individuals with a mean age of 69.9 years (SD = 6.8) were included. The median number of medications was 2 (IQR: 1-4); the rate of polypharmacy was 19.7% (95% confidence interval [CI] = 16.1-23.3). Polypharmacy was inversely associated with self-rated overall health (b =-5.89, p < 0.01). Polypharmacy users had 2.3 times higher odds of reporting two or more falls in the previous 12 months (odds ratio [OR] = 2.31, 95% CI = 1.06-5.04). Polypharmacy was independently associated with Fried's criteria for pre-frailty (OR = 2.90, 95% CI = 1.36-5.96) and frailty (OR = 5.14, 95% CI = 1.83-14.42). Polypharmacy was not associated with cognitive impairment.

Conclusions

These findings illustrate the potential risks associated with polypharmacy among older adults in Panama and may inform interventions to improve health outcomes in this population.

A pilot study to identify pharmacogenomic and clinical risk factors associated with opioid related falls and adverse effects in older adults

Given the high prevalence of pain in older adults and current trends in opioid prescribing, inclusion of genetic information in risk prediction tools may improve opioid risk assessment. Our objectives were to (1) determine the feasibility of recruiting socioeconomically disadvantaged and racially diverse middle aged and older adult populations for a study seeking to identify risk factors for opioid-related falls and other serious adverse effects and (2) explore potential associations between the Risk Index for Overdose or Serious Opioid-induced Respiratory Depression (CIP-RIOSORD) risk class and other patient factors with falls and serious opioid adverse effects. This was an observational study of 44 participants discharged home from the emergency department with an opioid prescription for acute pain and followed for 30 days. We found pain interference may predict opioid-related falls or serious adverse effects within older, opioid-treated patients. If validated, pain interference may prove to be a beneficial marker for risk stratification of older adults initiated on opioids for acute pain.

Identification of the simultaneous use of multiple hypnotics as a risk factor for falls in hospitalized patients by a matched case-control study

AIM

The risk of falls owing to simultaneous use of multiple hypnotics has not been clarified. The aim of this study was to assess the association between the simultaneous use of 2 hypnotics and the occurrence of falls in hospitalized patients.

METHODS

A matched case-control study was conducted at Tokyo Medical University Hospital in Tokyo, Japan, utilizing data from medical records. Cases were 434 hospitalized patients who experienced falls during their hospital stay between January 2016 and December 2016, and controls were 434 hospitalized patients without falls, individually matched by age, sex, and clinical department. The outcome was the occurrence of an in-hospital fall. The associations between the use of 1 hypnotic and falls, and between the use of 2 hypnotics and falls were assessed by conditional logistic regression analyses. The main multivariable conditional logistic regression model was adjusted for potential risk factors, including the use of other classes of psychotropics (antipsychotics, antidepressants, and anxiolytics), in addition to patient characteristics.

RESULTS

The main multivariable conditional logistic regression analyses showed that the simultaneous use of 2 hypnotics (odds ratio [OR] = 2.986; 95% confidence interval [CI], 1.041-8.567), but not the use of a single hypnotic (OR = 1.252; 95% CI, 0.843-1.859), was significantly associated with an increased OR of falls.

CONCLUSION

The simultaneous use of 2 hypnotics is a risk factor for falls among hospitalized patients, whereas the use of a single hypnotic may not.

[Psychotropic drugs in the elderly]

The use of psychotropic drugs in the elderly is frequent, and can be problematic due to the risks associated with their inappropriate use and adverse effects. It is essential to adopt a cautious, individualized approach to prescribing psychotropic drugs, regularly assessing their efficacy and considering other non-drug approaches where possible. Collaboration between healthcare professionals and patients can contribute to more appropriate use of these drugs in the elderly.

Association between psychotropics use and occurrence of falls in hospitalized patients: A matched case-control study

Aim

Understanding the appropriate prescription of psychotropics for hospitalized patients in terms of preventing falls is an important issue. The aim of this study was to assess the associations between the occurrence of falls and the use of various individual psychotropics in hospitalized patients.

Methods

A retrospective matched case-control study was conducted on adult patients admitted to every department of Tokyo Medical University Hospital, with the outcome being in-hospital falls. A total of 447 hospitalized patients who had had in-hospital falls at some point in their hospitalization between January 2016 and December 2016 were included as cases. A total of 447 hospitalized patients who did not have in-hospital falls, and were individually matched to the cases by sex, age, and clinical department, were included as controls. All data were extracted from electronic medical records. Conditional logistic regression analyses were conducted to assess the association between the exposure to 16 psychotropic medications and the occurrence of in-hospital falls. The multivariable logistic regression model adjusted sex, age, clinical department, body mass index, fall risk score on the fall risk assessment measure, and use of psychotropic medications.

Results

The multivariable conditional logistic regression model showed a significant association between the use of risperidone (odds ratio [OR] = 3.730; 95% confidence interval [CI] = 1.229-11.325) and flunitrazepam (OR = 4.120; 95% CI = 1.105-15.364) and an increased OR of falls among hospitalized patients.

Conclusion

The use of risperidone and flunitrazepam were identified as risk factors for falls among hospitalized patients.

Evaluation of the effectiveness of a joint general practitioner-pharmacist intervention on the implementation of benzodiazepine deprescribing in older adults (BESTOPH-MG trial): protocol for a cluster-randomized controlled trial

Background

Deprescribing benzodiazepines and related drugs (BZDR) is a challenge due to a lack of time on physicians' part, a lack of involvement of other health professionals, and the need for adapted tools. This study is based on primary care collaboration, by evaluating the effectiveness of a joint intervention between general practitioners and community pharmacists on the implementation of BZDR deprescribing in older adults.

Methods

This is a cluster randomized controlled trial in which each cluster will be formed by a physician-pharmacist pair. Within a cluster allocated to the intervention, the pharmacist will be trained in motivational interviewing (MI), and will offer the patient 3 interviews after inclusion by the physician. They will base their intervention on validated deprescribing guidelines. The pharmacist will receive methodological support during the first interviews. Interprofessional collaboration will be encouraged by writing reports for the physician after each interview. The following implementation outcomes will be evaluated: acceptability/adoption, appropriateness, cost, and fidelity. They will be measured by means of sociological interviews, observations, logbooks, and cost-utility analysis. Focus groups with physicians and pharmacists will be carried out to identify levers and barriers experienced in this collaboration. Observations will be conducted with pharmacists to assess their approach of the MIs. Effectiveness outcomes will be based on medication (discontinuation or reduction of BZDR) and clinical outcomes (such as quality of life, insomnia or anxiety), assessed by health insurance databases and validated questionnaires.

Discussion

This study will determine whether collaboration in primary care between physicians and pharmacists, as well as training and coaching of pharmacists in motivational interviewing, allows the implementation of BZDR deprescribing in the older adults.This study will provide an understanding of the processes used to implement deprescribing guidelines, and the contribution of collaborative practice in implementing BZDR discontinuation. The cluster methodology will allow to assess the experience of the relationship between the different primary care actors, and the related obstacles and levers.The results obtained will make it possible to produce guidelines on the involvement of community pharmacists in the management of substance abuse in older adults, or even to legislate new missions or care pathways.

Clinical trial registration

ClinicalTrials.gov, identifier, NCT05765656.

European position paper on polypharmacy and fall-risk-increasing drugs recommendations in the World Guidelines for Falls Prevention and Management: implications and implementation

Falls prevention and management in older adults is a critical global challenge. One of the key risk factors for falls is the use of certain medications. Therefore, to prevent medication-related falls, the following is recommended in the recent World Guidelines for Falls Prevention and Management: (1) assess for fall history and the risk of falls before prescribing potential fall-risk-increasing drugs (FRIDs), (2) use a validated, structured screening and assessment tool to identify FRIDs when performing a medication review, (3) include medication review and appropriate deprescribing of FRIDs as a part of the multifactorial falls prevention intervention, and (4) in long-term care residents, if multifactorial intervention cannot be conducted due to limited resources, the falls prevention strategy should still always include deprescribing of FRIDs.In the present statement paper, the working group on medication-related falls of the World Guidelines for Falls Prevention and Management, in collaboration with the European Geriatric Medicine Society (EuGMS) Task and Finish group on FRIDs, outlines its position on how to implement and execute these recommendations in clinical practice.Preferably, the medication review should be conducted as part of a comprehensive geriatric assessment to produce a personalized and patient-centered assessment. Furthermore, the major pitfall of the published intervention studies so far is the suboptimal implementation of medication review and deprescribing. For the future, it is important to focus on gaining which elements determine successful implementation and apply the concepts of implementation science to decrease the gap between research and practice.

Pharmacist comprehensive review of fall-risk-increasing drugs and polypharmacy in elderly Spanish community patients using RStudio®

Objective

The aim of this study is to identify and analyze adults aged ≥65 years living in the Canary Islands, Spain, who are prescribed medications that increase the risk of falls and are polymedicated. To do so we have made use of the electronic prescription and the RStudio®.

Method

For the detection of Fall-Risk-Increasing Drugs (FRIDs), outpatient electronic prescription dispensing data were used in two pharmacies. A total of 118,890 dispensations grouped into 15,601 treatment plans for 2,312 patients were analyzed. The FRIDs analyzed were antipsychotics (APSI), benzodiazepines (BZPN), antidepressants (DEPR), opioids (OPIO) and Z-hypnotics (ZHIP). For the development of the algorithms for the construction of tables and data screening, the statistical programming language RStudio® was used.

Results

Of the total number of patients and prescriptions analyzed, 46.6% were polymedicated and 44.3% had prescribed an FRID. 28.7% of the patients presented both factors, had a dispensation from an FRID and were polymedicated. Of the 14,278 dispensations with FRID, 49% had a benzodiazepine, 22.7% opioids, 18% antidepressants, 5.6% hypnotics, and finally 4.4% antipsychotics. At least 32% of the patients had been dispensed a benzodiazepine together with another FRID and 23% an opioid together with another FRID.

Conclusions

The method of analysis developed and applied in RStudio® allows to detect and determine in a simple and fast way polymedicated patients, as well as the number and therapeutic class of drugs in their treatment plan and identify prescriptions that can increase the risk of falls. Our results show a high number of prescriptions for benzodiazepines and opioids.

Attainment of NICE blood pressure targets among older people with newly diagnosed hypertension: nationwide linked electronic health records cohort study

BACKGROUND

it is not known if clinical practice reflects guideline recommendations for the management of hypertension in older people and whether guideline adherence varies according to overall health status.

AIMS

to describe the proportion of older people attaining National Institute for Health and Care Excellence (NICE) guideline blood pressure targets within 1 year of hypertension diagnosis and determine predictors of target attainment.

METHODS

a nationwide cohort study of Welsh primary care data from the Secure Anonymised Information Linkage databank including patients aged ≥65 years newly diagnosed with hypertension between 1st June 2011 and 1st June 2016. The primary outcome was attainment of NICE guideline blood pressure targets as measured by the latest blood pressure recording up to 1 year after diagnosis. Predictors of target attainment were investigated using logistic regression.

RESULTS

there were 26,392 patients (55% women, median age 71 [IQR 68-77] years) included, of which 13,939 (52.8%) attained a target blood pressure within a median follow-up of 9 months. Success in attaining target blood pressure was associated with a history of atrial fibrillation (OR 1.26, 95% CI 1.11, 1.43), heart failure (OR 1.25, 95% CI 1.06, 1.49) and myocardial infarction (OR 1.20, 95% CI 1.10, 1.32), all compared to no history of each, respectively. Care home residence, the severity of frailty, and increasing co-morbidity were not associated with target attainment following adjustment for confounder variables.

CONCLUSIONS

blood pressure remains insufficiently controlled 1 year after diagnosis in nearly half of older people with newly diagnosed hypertension, but target attainment appears unrelated to baseline frailty, multi-morbidity or care home residence.

Living Conditions and the Incidence and Risk of Falls in Community-Dwelling Older Adults: A Multifactorial Study

Old age represents a social group that is undergoing continuous expansion. The aging population will be prone to chronic diseases and falls, which is a marker of frailty and a public health problem. This study aims to examine the relationship between living conditions and the prevalence of the risk of falls in older adults within the community. As an observational cross-sectional study, intentional sampling was carried out on residents of the metropolitan area over 75 years of age. The socio-demographic data of the subjects and their history of falls were collected. Additionally, the subjects were evaluated on the risk of falling, basic activities of daily living, such as walking and balance, fragility, and their fear of falling. The statistical analyses used were based on the Shapiro-Wilk test for normality, statistics of central tendency with description, mean (M) and dispersion, standard deviation (SD), bivariate contingency tables for studying the relationships between the variables, and the analysis of Pearson's relational statistics (χ²). The comparisons of means were resolved by parametric or non-parametric routes. We obtained the following results: 1. The socio-demographic profile of our sample consisted of adults over 75 years of age, the majority of whom were overweight or obese women living in an urban area, specifically in an apartment, and receiving care; 2. Older people in the studied community had mild dependency and frailty, and were also at severe risk of falls; 3. The prevalence of falls was higher in women than in men in this study. Through these results, we confirmed the relationship between living conditions and the prevalence of risk of falls in older adults within the community.

Risk factors predictive of adverse drug events and drug-related falls in aged care residents: secondary analysis from the ReMInDAR trial

BACKGROUND

Residents of aged-care facilities have high rates of adverse drug events. This study aimed to identify risk factors for adverse drug events in aged-care residents.

METHOD

This was a secondary study using data from a multicentre randomised controlled trial. Data from 224 residents for whom there was 6 months of baseline information were analysed. We assessed the risk of adverse drug events and falls (post hoc) in the subsequent 6 months. Adverse events were identified via a key word search of the resident care record and adjudicated by a multidisciplinary panel using a modified version of the Naranjo criteria. Covariates identified through univariable logistic regression, including age, sex, medicines, physical activity, cognition (Montreal Cognitive Assessment), previous adverse events and health service use were included in multivariable models.

RESULTS

Overall, 224 residents were included, with a mean age of 86 years; 70% were female. 107 (48%) residents had an adverse drug event during the 6-month follow-up. Falls and bleeding were experienced by 73 (33%) and 28 (13%) residents, respectively. Age (odds ratio [OR] 1.05, 95% confidence interval [CI] 1.01-1.10), weight (OR 1.02, 95% CI 1.002-1.04), previous fall (OR 2.58, 95% CI 1.34-4.98) and sedative or hypnotic medicine use (OR 1.98, 95% CI 1.52-2.60) were associated with increased risk of adverse drug events. Increased cognition (OR 0.89, 95% CI 0.83-0.95) was protective. Risk factors for falls were previous fall (OR 3.27, 95% CI 1.68-6.35) and sedative or hypnotic medicines (OR 3.05, 95% CI 1.14-8.16). Increased cognition (OR 0.88, 95% CI 0.83-0.95) was protective.

CONCLUSION

Our results suggest residents with a previous fall, reduced cognition, and prescription of sedative or hypnotic medicines were at higher risk of adverse drug events and should be considered for proactive prevention.

Potentially inappropriate medication including drug-drug interaction and the risk of frequent falling, hospital admission, and death in older adults - results of a large cohort study (getABI)

Introduction: With growing age, multiple chronic diseases may result in polypharmacy. Drugs that should be avoided in older adults are called potentially inappropriate medications (PIM). Beyond PIM, drug-drug interactions (DDI) are known to be related to adverse drug events. This analysis examines the risk of frequent falling, hospital admission, and death in older adults associated with PIM and/or DDI (PIM/DDI) prescription. Materials and methods: This post hoc analysis used data of a subgroup of the getABI study participants, a large cohort of community-dwelling older adults. The subgroup comprised 2120 participants who provided a detailed medication report by telephone interview at the 5-year getABI follow-up. The risks of frequent falling, hospital admission, and death in the course of the following 2 years were analysed by logistic regression in uni- and multivariable models with adjustment for established risk factors. Results: Data of all 2,120 participants was available for the analysis of the endpoint death, of 1,799 participants for hospital admission, and of 1,349 participants for frequent falling. The multivariable models showed an association of PIM/DDI prescription with frequent falling (odds ratio (OR) 1.66, 95% confidence interval (CI) 1.06-2.60, p = 0.027) as well as with hospital admission (OR 1.29, 95% CI 1.04-1.58, p = 0.018), but not with death (OR 1.00, 95% CI 0.58-1.72, p = 0.999). Conclusion: PIM/DDI prescription was associated with the risk of hospital admission and frequent falling. No association was found with death by 2 years. This result should alert physicians to provide a closer look at PIM/DDI prescriptions.

Development and Pilot Testing of a Booklet Concerning Medications That Can Increase the Risk of Falls in Older People

Background: A common contributory factor to falls is the use of medicines, especially those commonly known as “fall-risk increasing drugs” (FRIDs). The use of FRIDs is common among older people (OP). However, OP and their family caregivers (FCGs) are largely unaware of FRIDs and their risks in increasing the risk of falls (ROF). Methods: A booklet which aims to provide information on topics related to FRIDs was developed. The booklet was reviewed by a panel of 14 reviewers, and the content validity index (CVI) for each subsection of the booklet was computed. Pilot testing of the booklet utilized a pre-post intervention study design and included 50 OP and 50 FCGs as study participants. Perceived knowledge of the participants was assessed prior to and after completing the booklet. Participants’ opinions on the usefulness and usability of the booklet were also obtained. Results: The booklet contained eight sections and each subsection of the booklet had a CVI ranging from 0.93 to 1.00. Completing the booklet resulted in improved perceived knowledge scores for each perceived knowledge item among both the OP and FCG groups (all items: p-value < 0.001). The participants perceived the booklet as useful and usable, as evidenced by almost all the perceived usefulness and usability items having a score of over 4.0. Conclusions: The FRIDs booklet developed in this study had good content validity and was widely accepted by the OP and FCGs. The positive effect on the participants’ knowledge of topics related to FRIDs means that the booklet could be useful as a patient education tool to enhance FRIDs knowledge and awareness among OP and FCGs.

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

Background

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.

Methods

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 4^th level medication classes. Frequency of medications prescribed to older adults was calculated on different sex, age groups, types of medications, and injures.

Results

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.

Discussion

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.

Severe low back or lower limb pain is associated with recurrent falls amongst older Australians

Background

Few studies have explored the impact of low back or lower limb pain severity on recurrent (≥2) falls in older adults.

Objectives

Investigate the association between the severity of low back or lower limb pain, and ≥2 falls or falls‐related injuries.

Methods

Community‐dwelling Australian males and females in the ASPREE Longitudinal Study of Older Persons (ALSOP), aged ≥70 years. Self‐reported, cross‐sectional questionnaire data regarding number of falls and falls‐related injuries in the last 12 months; and sites and severity of pain experienced on most days. Adjusted relative risks (RR) were estimated from multivariable Poisson regression models, for males and females separately.

Results

Of 14,892 ALSOP participants, 13% (n = 1983) reported ≥2 falls (‘recurrent fallers’) in the last 12 months. Males and females who reported severe low back, or severe lower limb pain on most days were more likely to report ≥2 falls in the last 12 months compared to those with mild pain (lower back: males RR = 1.70 and females RR = 1.5, p = 0.001; lower limb: males RR = 2.0, p < 0.001 and females RR = 1.4, p = 0.003). Female recurrent fallers who reported severe low back (RR = 1.3, p = 0.029) or lower limb (RR = 1.2, p = 0.024) pain on most days were more likely to report a falls‐related injury in the last 12 months compared to females with mild pain.

Conclusion

Severe low back or lower limb pain was associated with an increased likelihood of recurrent falls (males/females) or falls‐related injuries (females only). Assessment of severe low back and lower limb pain should be considered as a priority when undertaking falls‐risk evaluation.

Significance

Severe low back pain, or severe lower limb pain is associated with an increased likelihood of recurrent falls in older males and females, and an increased likelihood of falls‐related injuries in older female recurrent fallers. Assessment and management of severe low back and lower limb pain should be prioritized when undertaking falls‐risk assessment. Future longitudinal research is required to further interrogate this relationship and its underlying mechanisms.

Falls prediction using the nursing home minimum dataset

OBJECTIVE

The purpose of the study was to develop and validate a model to predict the risk of experiencing a fall for nursing home residents utilizing data that are electronically available at the more than 15 000 facilities in the United States.

MATERIALS AND METHODS

The fall prediction model was built and tested using 2 extracts of data (2011 through 2013 and 2016 through 2018) from the Long-term Care Minimum Dataset (MDS) combined with drug data from 5 skilled nursing facilities. The model was created using a hybrid Classification and Regression Tree (CART)-logistic approach.

RESULTS

The combined dataset consisted of 3985 residents with mean age of 77 years and 64% female. The model's area under the ROC curve was 0.668 (95% confidence interval: 0.643-0.693) on the validation subsample of the merged data.

DISCUSSION

Inspection of the model showed that antidepressant medications have a significant protective association where the resident has a fall history prior to admission, requires assistance to balance while walking, and some functional range of motion impairment in the lower body; even if the patient exhibits behavioral issues, unstable behaviors, and/or are exposed to multiple psychotropic drugs.

CONCLUSION

The novel hybrid CART-logit algorithm is an advance over the 22 fall risk assessment tools previously evaluated in the nursing home setting because it has a better performance characteristic for the fall prediction window of ≤90 days and it is the only model designed to use features that are easily obtainable at nearly every facility in the United States.

Spatio-Temporal Gait Parameters in Association with Medications and Risk of Falls in the Elderly

Purpose

The aim of this study was to analyze factors affecting spatio-temporal gait parameters in elderly people of both genders and different ages with different risks of fall, fall history, and medications.

Patients and Methods

A total of 210 community-dwelling older adults (156 females, 54 males; mean age 72.84±6.26 years) participated in this study. To assess the risk of falls, the Downton Fall Risk Index was used. An additional question about medication intake (all prescribed drugs) was asked. To assess the spatio-temporal gait parameters, the Zebris FDM platform was used. Gait parameters and Downton Fall Risk Index, stratified by participants’ history of falls, multiple medication use (0/1/2+), gender, age, and medication categories, were statistically analyzed using the Mann–Whitney U-test and Kruskal–Wallis test.

Results

When comparing different medication categories, a Downton Fall Risk Index score indicating a high risk of falls was observed in the psychotropic medication category (3.56±1.67). A gait velocity suggesting a higher risk of falls (≤3.60 km/h) was observed in the psychotropic (2.85±1.09 km/h) and diabetes (2.80±0.81 km/h) medication categories, in the age groups 70–79 years (3.30±0.89 km/h) and 80+ years (2.67±0.88 km/h), and in participants using two or more medications (3.04±0.93 km/h).

Conclusion

The results of this study confirm previous observations and show that higher age and multiple medication negatively affect the gait, and that the higher risk of falls is associated with psychotropic and diabetes medication use. These results provide important information for future fall preventive programs for the elderly that would be especially beneficial for elderly people taking psychotropic and diabetes medication.

Development of the ADFICE_IT models for predicting falls and recurrent falls in community-dwelling older adults: pooled analyses of European cohorts with special attention to medication

Background

Use of fall prevention strategies requires detection of high-risk patients. Our goal was to develop prediction models for falls and recurrent falls in community-dwelling older adults and to improve upon previous models by using a large, pooled sample and by considering a wide range of candidate predictors, including medications.

Methods

Harmonized data from 2 Dutch (LASA, B-PROOF) and 1 German cohort (ActiFE Ulm) of adults aged ≥65 years were used to fit 2 logistic regression models: one for predicting any fall and another for predicting recurrent falls over 1 year. Model generalizability was assessed using internal–external cross-validation.

Results

Data of 5 722 participants were included in the analyses, of whom 1 868 (34.7%) endured at least 1 fall and 702 (13.8%) endured a recurrent fall. Positive predictors for any fall were: educational status, depression, verbal fluency, functional limitations, falls history, and use of antiepileptics and drugs for urinary frequency and incontinence; negative predictors were: body mass index (BMI), grip strength, systolic blood pressure, and smoking. Positive predictors for recurrent falls were: educational status, visual impairment, functional limitations, urinary incontinence, falls history, and use of anti-Parkinson drugs, antihistamines, and drugs for urinary frequency and incontinence; BMI was a negative predictor. The average C-statistic value was 0.65 for the model for any fall and 0.70 for the model for recurrent falls.

Conclusion

Compared with previous models, the model for recurrent falls performed favorably while the model for any fall performed similarly. Validation and optimization of the models in other populations are warranted.

Potentially Harmful Medication Dispenses After a Fall or Hip Fracture: A Mixed Methods Study of a Commonly Used Quality Measure

BACKGROUND

High-risk medication dispenses to patients with a prior fall or hip fracture represent a potentially dangerous disease-drug interaction among older adults. The research team quantified the prevalence, identified risk factors, and generated patient and provider insights into high-risk medication dispenses in a large, community-based integrated health system using a commonly used quality measure.

METHODS

This was a mixed methods study with a convergent design combining a retrospective cohort study using electronic health record (EHR) data, individual interviews of primary care physicians, and a focus group of patient advisors.

RESULTS

Of 113,809 patients ≥ 65 years with a fall/fracture in 2009-2015, 35.4% had a potentially harmful medication dispensed after their fall/fracture. Most medications were prescribed by primary care providers. Older age, male gender, and race/ethnicity other than non-Hispanic White were associated with a reduced risk of high-risk medication dispenses. Patients with a pre-fall/fracture medication dispense were substantially more likely to have a post-fall/fracture medication dispense (hazard ratio [HR] = 13.26, 95% confidence interval [CI] = 12.91-13.61). Both patients and providers noted that providers may be unaware of patient falls due to inconsistent assessments and patient reluctance to disclose falls. Providers also noted the lack of a standard location to document falls and limited decision support alerts within the EHR.

CONCLUSION

High-risk medication dispenses are common among older patients with a history of falls/fractures. Future interventions should explore improved assessment and documentation of falls, decision support, clinician training strategies, patient educational resources, building trusting patient-clinician relationships to facilitate long-term medication discontinuation among persistent medication users, and a focus on fall prevention.

The use and predictive performance of the Peninsula Health Falls Risk Assessment Tool (PH-FRAT) in 25 residential aged care facilities: a retrospective cohort study using routinely collected data

BACKGROUND

The Peninsula Health Falls Risk Assessment Tool (PH-FRAT) is a validated and widely applied tool in residential aged care facilities (RACFs) in Australia. However, research regarding its use and predictive performance is limited. This study aimed to determine the use and performance of PH-FRAT in predicting falls in RACF residents.

METHODS

A retrospective cohort study using routinely-collected data from 25 RACFs in metropolitan Sydney, Australia from Jul 2014-Dec 2019. A total of 5888 residents aged ≥65 years who were assessed at least once using the PH-FRAT were included in the study. The PH-FRAT risk score ranges from 5 to 20 with a score > 14 indicating fallers and ≤ 14 non-fallers. The predictive performance of PH-FRAT was determined using metrics including area under receiver operating characteristics curve (AUROC), sensitivity, specificity, sensitivity_{Event Rate(ER)} and specificity_ER.

RESULTS

A total of 27,696 falls were reported over 3,689,561 resident days (a crude incident rate of 7.5 falls /1000 resident days). A total of 38,931 PH-FRAT assessments were conducted with a median of 4 assessments per resident, a median of 43.8 days between assessments, and an overall median fall risk score of 14. Residents with multiple assessments had increased risk scores over time. The baseline PH-FRAT demonstrated a low AUROC of 0.57, sensitivity of 26.0% (sensitivity_ER 33.6%) and specificity of 88.8% (specificity_ER 82.0%). The follow-up PH-FRAT assessments increased sensitivity_ER values although the specificity_ER decreased. The performance of PH-FRAT improved using a lower risk score cut-off of 10 with AUROC of 0.61, sensitivity of 67.5% (sensitivity_ER 74.4%) and specificity of 55.2% (specificity_ER 45.6%).

CONCLUSIONS

Although PH-FRAT is frequently used in RACFs, it demonstrated poor predictive performance raising concerns about its value. Introducing a lower PH-FRAT cut-off score of 10 marginally enhanced its predictive performance. Future research should focus on understanding the feasibility and accuracy of dynamic fall risk predictive tools, which may serve to better identify residents at risk of falls.

Comparative safety of chronic versus intermittent benzodiazepine prescribing in older adults: A population-based cohort study

BACKGROUND

Benzodiazepine treatment recommendations for older adults differ markedly between guidelines, especially their advice on the acceptability of long-term use.

AIMS

Using population-based data we compared risks associated with chronic versus intermittent benzodiazepine usage in older adults. The primary outcome was falls resulting in hospital/emergency department visits.

METHODS

We undertook a retrospective population-based cohort study using linked healthcare databases in adults aged ⩾ 66 years in Ontario, Canada, with a first prescription for benzodiazepines. Chronic and intermittent benzodiazepine users, based on the 180 days from index prescription, were matched (1:2 ratio) by sex, age and propensity score, then followed for up to 360 days. Hazard ratios (HRs) for outcomes were calculated from Cox regression models.

RESULTS

A total of 57,041 chronic and 113,839 matched intermittent users were included. Hospitalization/emergency department visits for falls occurred during follow up in 4.6% chronic versus 3.2% intermittent users (HR = 1.13, 95% confidence interval (CI): 1.08 to 1.19; p < 0.0001). There were significant excess risks in chronic users for most secondary outcomes: hip fractures, hospitalizations/emergency department visits, long-term care admission and death, but not wrist fractures. Adjustment for benzodiazepine dosage had minimal impact on HRs.

CONCLUSION

Our study demonstrates evidence of significant excess risks associated with chronic benzodiazepine use compared to intermittent use. The excess risks may inform decision-making by older adults and clinicians about whether short- or long-term benzodiazepine use is a reasonable option for symptom management.

Patient-Level Fall Risk Prediction Using the Observational Medical Outcomes Partnership's Common Data Model: Pilot Feasibility Study

BACKGROUND

Falls in acute care settings threaten patients' safety. Researchers have been developing fall risk prediction models and exploring risk factors to provide evidence-based fall prevention practices; however, such efforts are hindered by insufficient samples, limited covariates, and a lack of standardized methodologies that aid study replication.

OBJECTIVE

The objectives of this study were to (1) convert fall-related electronic health record data into the standardized Observational Medical Outcome Partnership's (OMOP) common data model format and (2) develop models that predict fall risk during 2 time periods.

METHODS

As a pilot feasibility test, we converted fall-related electronic health record data (nursing notes, fall risk assessment sheet, patient acuity assessment sheet, and clinical observation sheet) into standardized OMOP common data model format using an extraction, transformation, and load process. We developed fall risk prediction models for 2 time periods (within 7 days of admission and during the entire hospital stay) using 2 algorithms (least absolute shrinkage and selection operator logistic regression and random forest).

RESULTS

In total, 6277 nursing statements, 747,049,486 clinical observation sheet records, 1,554,775 fall risk scores, and 5,685,011 patient acuity scores were converted into OMOP common data model format. All our models (area under the receiver operating characteristic curve 0.692-0.726) performed better than the Hendrich II Fall Risk Model. Patient acuity score, fall history, age ≥60 years, movement disorder, and central nervous system agents were the most important predictors in the logistic regression models.

CONCLUSIONS

To enhance model performance further, we are currently converting all nursing records into the OMOP common data model data format, which will then be included in the models. Thus, in the near future, the performance of fall risk prediction models could be improved through the application of abundant nursing records and external validation.

Psychotropics use and occurrence of falls in hospitalized patients: A matched case-control study

AIM

Several studies have suggested the use of psychotropics as a possible risk factor for falling. However, there were several limitations to these previous studies, such as the use of data obtained from administrative databases and the lack of information about the time interval between psychotropics use and falling. Therefore, in this study, we aimed to assess the association between psychotropics use and falling in hospitalized patients, using reliable data collected from medical records.

METHODS

A matched (age, sex, and inpatient department) case-control study of patients hospitalized at Tokyo Medical University Hospital was performed using the new-user design, based on data extracted from medical records. The outcome was the occurrence of falls. The use of four classes of psychotropics (antipsychotics, antidepressants, anxiolytics, and hypnotics) was compared between 254 cases (patients who experienced falls) and 254 controls (patients without falls). Multivariable logistic regression analysis was performed to clarify the associations between falling and the use of these psychotropics.

RESULTS

Univariable analyses demonstrated that the use of every class of psychotropic was statistically significantly associated with falling. Moreover, the association of the use of hypnotics with falls remained significant in the multivariable logistic regression model built including potential confounding factors, such as age, sex, inpatient department, body mass index, fall risk score measured by a fall risk assessment sheet completed on hospital admission, and the use of other classes of psychotropics.

CONCLUSIONS

Our findings suggest that the use of hypnotics may be a risk factor for falling in hospitalized patients.

The association of polypharmacy with functional decline in elderly patients undergoing cardiac surgery

AIM

Identifying preoperative risk factors in older patients becomes more important to reduce adverse functional outcome. This study investigated the association between preoperative medication use and functional decline in elderly cardiac surgery patients and compared polypharmacy as a preoperative screening tool to a clinical frailty assessment.

METHODS

This sub-study of the Anaesthesia Geriatric Evaluation study included 518 patients ≥ 70 years undergoing elective cardiac surgery. The primary outcome was functional decline, defined as a worse health related quality of life or disability one year after surgery. The association between polypharmacy (i.e. ≥5 prescriptions and <10 prescriptions) or excessive polypharmacy (i.e. ≥10 prescriptions) and functional decline was investigated using multivariable Poisson regression. Discrimination, calibration and reclassification indices were used to compare preoperative screening tools for patient selection.

RESULTS

Functional decline was reported in 284 patients (55%) and preoperative polypharmacy and excessive polypharmacy showed higher risks (aRRs 1.57, 95% CI 1.23 - 1.98 and 1.93, 95% CI 1.48 - 2.50, respectively). Besides cardiovascular medication, proton pomp inhibitors and central nervous system medication were significantly associated with functional decline. Discrimination between models with polypharmacy or frailty was similar (AUC 0.67, 95% CI 0.61 - 0.72). The net reclassification index improved when including polypharmacy to the basic model (17%, 95% CI 0.06 - 0.27).

CONCLUSIONS

Polypharmacy is associated with functional decline in elderly cardiac surgery patients. A preoperative medication review is easily performed and could be used as screening tool to identify patients at risk for adverse outcome after cardiac surgery.

Prevalence and Factors Associated With Polypharmacy Use Among Adult Patients in Saudi Arabia

BACKGROUND

Polypharmacy is very common in clinical practice, especially among adult patients. The use of multiple medications may increase the risk of adverse drug events, medication cost, and medication errors. In addition, polypharmacy exacerbates treatment complexity, which consequently leads to poor patients' adherence to their medications. Despite being a well-recognized problem, few studies have investigated the prevalence and predictors of polypharmacy in Saudi Arabia.

OBJECTIVES

The aims of the study were to investigate the prevalence of polypharmacy among adult patients in a tertiary teaching hospital and to determine patients' characteristics that are associated with polypharmacy.

METHODS

This was a retrospective cross-sectional study using data extracted from the electronic health records database for a period of 6 months between January and June 2016 in outpatient setting. Descriptive statistics were used to analyze the study sample. A multivariate logistic regression model was used to examine the association between different variables and polypharmacy. Statistical analysis software (SAS 9.2) was used to analyze the study data.

RESULTS

A total of 17,237 observations (67.2% females) were included in the final analysis. Of these, nearly 54% (n = 9222) of reported observations were found using up to four prescription drugs and the other 46% (n = 8015) were using five or more prescription drugs. Interestingly, the prevalence of polypharmacy use was doubled among adults with hypertension as compared with those without hypertension (odds ratio [OR] = 2.68, 95% confidence interval [CI] = 2.51-2.87). In addition, polypharmacy use was two times more prevalent among adults with diabetes as compared with those without diabetes (OR = 2.31, 95% CI = 1.99-2.28) and five times more prevalent in patient with dementia (OR = 5.57, 95% CI = 1.26-24.7). Moreover, polypharmacy in adult patients was significantly influenced by sex (OR = 1.69, 95% CI = 1.59-1.80) and nationality (OR = 2.15, 95% CI = 2.00-2.31).

CONCLUSIONS

Polypharmacy is common among adult patients especially those who are older than 60 years. Polypharmacy may affect the overall process of drug therapy. It can be a risk factor to develop undesirable adverse drug events, especially in those with chronic health conditions. A special care should be taken to manage polypharmacy among adults in Saudi Arabia.

Change in Medication-Associated Fall Risk Among Older Adults After Admission for Fall-Related Trauma

BACKGROUND

As the population ages, it is predicted that approximately 40% of all patients who experience fall-related trauma will be 65 years of age and older. Most injuries in older adults are caused by falls that are the result of multiple contributing factors including home hazards, comorbidities, frailty, and medications. A variety of medications have been associated with falls, specifically those with sedating and anticholinergic effects. The drug burden index can be used to quantify sedating and anticholinergic drug burden, with higher scores being associated with reduced psychomotor function.

OBJECTIVE

Assess the medication-associated fall risk on admission and discharge for older patients admitted to a trauma nurse practitioner service.

METHODS

Retrospective, observational study of patients managed by trauma nurse practitioners at a Level 1 trauma center between January 1, 2018, and December 31, 2019. Patients were included if they were at least 65 years of age, the primary diagnosis for the admission was fall-related trauma, and length of stay was at least 7 days.

RESULTS

A total of 172 patients were included in the study. The drug burden index was significantly higher at discharge than admission (M = 1.4, SD = 0.9 vs. M = 1.9, SD = 0.9) as was the total number of medications (M = 11.0, SD = 5.2 vs. M = 15.1, SD = 5.8).

CONCLUSIONS

Medication-related fall risk was increased during admission due to fall-related trauma. Patients were discharged with a higher sedating and anticholinergic burden than on admission, which increases risk for future falls.

The Effects of Osteoporotic and Non-osteoporotic Medications on Fracture Risk and Bone Mineral Density

Osteoporosis is a highly prevalent bone disease affecting more than 37.5 million individuals in the European Union (EU) and the  United States of America (USA). It is characterized by low bone mineral density (BMD), impaired bone quality, and loss of structural and biomechanical properties, resulting in reduced bone strength. An increase in morbidity and mortality is seen in patients with osteoporosis, caused by the approximately 3.5 million new osteoporotic fractures occurring every year in the EU. Currently, different medications are available for the treatment of osteoporosis, including anti-resorptive and osteoanabolic medications. Bisphosphonates, which belong to the anti-resorptive medications, are the standard treatment for osteoporosis based on their positive effects on bone, long-term experience, and low costs. However, not only medications used for the treatment of osteoporosis can affect bone: several other medications are suggested to have an effect on bone as well, especially on fracture risk and BMD. Knowledge about the positive and negative effects of different medications on both fracture risk and BMD is important, as it can contribute to an improvement in osteoporosis prevention and treatment in general, and, even more importantly, to the individual's health. In this review, we therefore discuss the effects of both osteoporotic and non-osteoporotic medications on fracture risk and BMD. In addition, we discuss the underlying mechanisms of action.

Team approach to polypharmacy evaluation and reduction: study protocol for a randomized controlled trial

BACKGROUND

Polypharmacy in older adults can be associated with negative outcomes including falls, impaired cognition, reduced quality of life, and general and functional decline. It is not clear to what extent these are reversible if the number of medications is reduced. Primary care does not have a systematic approach for reducing inappropriate polypharmacy, and there are few, if any, approaches that account for the patient's priorities and preferences. The primary objective of this study is to test the effect of TAPER (Team Approach to Polypharmacy Evaluation and Reduction), a structured operationalized clinical pathway focused on reducing inappropriate polypharmacy. TAPER integrates evidence tools for identifying potentially inappropriate medications, tapering, and monitoring guidance and explicit elicitation of patient priorities and preferences. We aim to determine the effect of TAPER on the number of medications (primary outcome) and health-related outcomes associated with polypharmacy in older adults.

METHODS

We designed a multi-center randomized controlled trial, with the lead implementation site in Hamilton, Ontario. Older adults aged 70 years or older who are on five or more medications will be eligible to participate. A total of 360 participants will be recruited. Participants will be assigned to either the control or intervention arm. The intervention involves a comprehensive multidisciplinary medication review by pharmacists and physicians in partnership with patients. This review will be focused on reducing medication burden, with the assumption that this will reduce the risks and harms of polypharmacy. The control group is a wait list, and control patients will be given appointments for the TAPER intervention at a date after the final outcome assessment. All patients will be followed up and outcomes measured in both groups at baseline and 6 months.

DISCUSSION

Our trial is unique in its design in that it aims to introduce an operationalized structured clinical pathway aimed to reduce polypharmacy in a primary care setting while at the same time recording patient's goals and priorities for treatment.

TRIAL REGISTRATION

Clinical Trials.gov NCT02942927. First registered on October 24, 2016.

Use of antipsychotic drugs and cholinesterase inhibitors and risk of falls and fractures: self-controlled case series

OBJECTIVE

To evaluate the association between the use of antipsychotic drugs and cholinesterase inhibitors and the risk of falls and fractures in elderly patients with major neurocognitive disorders.

DESIGN

Self-controlled case series.

SETTING

Taiwan's National Health Insurance Database.

PARTICIPANTS

15 278 adults, aged ≥65, with newly prescribed antipsychotic drugs and cholinesterase inhibitors, who had an incident fall or fracture between 2006 and 2017. Prescription records of cholinesterase inhibitors confirmed the diagnosis of major neurocognitive disorders; all use of cholinesterase inhibitors was reviewed by experts.

MAIN OUTCOME MEASURES

Conditional Poisson regression was used to derive incidence rate ratios and 95% confidence intervals for evaluating the risk of falls and fractures for different treatment periods: use of cholinesterase inhibitors alone, antipsychotic drugs alone, and a combination of cholinesterase inhibitors and antipsychotic drugs, compared with the non-treatment period in the same individual. A 14 day pretreatment period was defined before starting the study drugs because of concerns about confounding by indication.

RESULTS

The incidence of falls and fractures per 100 person years was 8.30 (95% confidence interval 8.14 to 8.46) for the non-treatment period, 52.35 (48.46 to 56.47) for the pretreatment period, and 10.55 (9.98 to 11.14), 10.34 (9.80 to 10.89), and 9.41 (8.98 to 9.86) for use of a combination of cholinesterase inhibitors and antipsychotic drugs, antipsychotic drugs alone, and cholinesterase inhibitors alone, respectively. Compared with the non-treatment period, the highest risk of falls and fractures was during the pretreatment period (adjusted incidence rate ratio 6.17, 95% confidence interval 5.69 to 6.69), followed by treatment with the combination of cholinesterase inhibitors and antipsychotic drugs (1.35, 1.26 to 1.45), antipsychotic drugs alone (1.33, 1.24 to 1.43), and cholinesterase inhibitors alone (1.17, 1.10 to 1.24).

CONCLUSIONS

The incidence of falls and fractures was high in the pretreatment period, suggesting that factors other than the study drugs, such as underlying diseases, should be taken into consideration when evaluating the association between the risk of falls and fractures and use of cholinesterase inhibitors and antipsychotic drugs. The treatment periods were also associated with a higher risk of falls and fractures compared with the non-treatment period, although the magnitude was much lower than during the pretreatment period. Strategies for prevention and close monitoring of the risk of falls are still necessary until patients regain a more stable physical and mental state.

Problematic Opioid Use Among Older Adults: Epidemiology, Adverse Outcomes and Treatment Considerations

With the aging population, an increasing number of older adults (> 65 years) will be affected by problematic opioid use and opioid use disorder (OUD), with both illicit and prescription opioids. Problematic opioid use is defined as the use of opioids resulting in social, medical or psychological consequences, whereas OUD is a form of problematic use that meets diagnostic criteria as defined by the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition. Problematic use of opioids by older adults is associated with a number of pertinent adverse effects, including sedation, cognitive impairment, falls, fractures and constipation. Risk factors for problematic opioid use in this population include pain, comorbid medical illnesses, concurrent alcohol use disorder and depression. Treatment of OUD consists of acute detoxification and maintenance therapy. At this time, there have been no randomized controlled trials examining the effectiveness of pharmacological interventions for OUD in this population, with recommendations based on data from younger adults. Despite this, opioid agonist therapy (OAT) is recommended for both stages of treatment in older adults with OUD. Buprenorphine is recommended as a first line agent over methadone in the older adult population, due to a more favourable safety profile and relative accessibility. Use of methadone in this population is complicated by risk of QT interval prolongation and respiratory depression. Available observational data suggests that older adults respond well to OAT and age should not be a barrier to treatment. Further research is required to inform treatment decisions in this population.

Associations Between Polypharmacy and Gait Speed According to Cognitive Impairment Status: Cross-Sectional Study in a Japanese Memory Clinic

BACKGROUND

Polypharmacy, usually defined as the use of 5 or more drugs, is associated with reduced quality of life, adverse events, and frailty. Slow gait speed is a component of physical frailty, and some studies have suggested an association between polypharmacy and slow gait speed.

OBJECTIVE

We aimed to determine the effects of polypharmacy on the gait difference according to stages of cognitive decline in a cross-sectional study of memory clinic patients.

METHODS

Participants were 431 outpatients aged 65 year or older who were cognitively normal (CN) or had mild cognitive impairment (MCI) or dementia due to Alzheimer's disease. Participants were divided into a polypharmacy group and a non-polypharmacy group in each group. Multiple regression analysis and logistic analysis were used for data analysis.

RESULTS

There were 182 patients in the polypharmacy group and 249 patients in the non-polypharmacy group. Multiple regression analysis revealed that gait speed had significant negative associations with number of medications and polypharmacy status in the CN group (β: -0.026 [-0.041 to -0.0018] and -0.128 [-0.022 to -0.0033], respectively) and MCI group (-0.018 [-0.028 to -0.0009] and -0.100 [-0.166 to -0.0034]). Logistic regression analysis also showed that number of medications was associated with slow gait status (< 1 m/s) in the CN group (OR: 1.336 [1.115 to 1.601]) and MCI group (1.128 [1.022 to 1.244]).

CONCLUSION

CN and MCI patients with polypharmacy have slower gait speed. Attention should be paid to decreased gait speed in older adults with polypharmacy even when their cognitive function is relatively preserved.

Effect of medication on risk of traumatic brain injury in patients with bipolar disorder: A nationwide population-based cohort study

BACKGROUND

Increased traumatic brain injury (TBI) risk was found in patients with bipolar disorder (BPD). Whether the medications for BPD and dosage moderate the risk of TBI is not clear.

AIM

This study aimed to determine whether an association exists between BPD and TBI and whether the prescription of psychotropics moderates TBI risk.

METHODS

A total of 5606 individuals who had received diagnoses of BPD between January 1, 1997 and December 31, 2013 and 56,060 matched controls without BPD were identified from Taiwan's National Health Insurance Research Database. Cases and controls were followed until the date of TBI diagnosis.

RESULTS

BPD was associated with a high risk of TBI (adjusted hazard ratio (aHR): 1.85; 95% CI: 1.62-2.11). Patients with BPD, with or without a history of psychiatric hospitalization, had increased risks of TBI (aHR: 1.94, 95% CI: 1.57-2.4 and aHR: 1.82, 95% CI: 1.55-2.1, respectively). The prescription of typical antipsychotics (0 < defined daily dose (DDD) < 28: hazard ratio (HR) = 1.52, 95% CI: 1.19-1.94; ⩾28 DDD: HR = 1.54, 95% CI: 1.15-2.06) and tricyclic antidepressants (TCAs) (0 < DDD < 28: HR = 1.73, 95% CI: 1.26-2.39; ⩾28 DDD: HR = 1.52, 95% CI: 1.02-2.25) was associated with higher TBI risk. Patients receiving higher doses of benzodiazepines (BZDs) (cumulative dose ⩾28 DDD) had a higher TBI risk (HR = 1.53, 95% CI: 1.13-2.06).

CONCLUSION

Patients with BPD have a higher risk of TBI. The use of typical antipsychotics, TCAs, or high-dose BZDs increases the risk of TBI in BPD.

Association between psychotropic drug use and handgrip strength in older hospitalized patients

PURPOSE

Handgrip strength is an indicator of frailty and longevity in older adults. The association between psychotropic drug use and handgrip strength in older hospitalized patients was investigated in this study.

METHODS

A total of 488 patients were included in this retrospective cross-sectional study, 333 women and 155 men, from two different cohorts of older (mean age 84 years) hospitalized in-patients. We used multiple linear regression models to explore the association between psychotropic drug use and handgrip strength. We adjusted for factors known to affect handgrip strength: Age, gender, body mass index (BMI) and comorbidity (Charlson comorbidity index).

RESULTS

Both unadjusted and adjusted analyses showed that psychotropic drug use was associated with handgrip strength (β = - 0.183, p < 0.0001). The relationship was of a linear character, with no clear threshold value, but with the greatest reduction in handgrip strength between zero and two psychotropic drugs.

CONCLUSION

An increasing number of psychotropic drugs were significantly associated with reduced handgrip strength in a linearly pattern. Hence, it is timely to question the guided threshold value of avoidance of three or more psychotropic drugs in older people. Psychotropic drug use should be kept as low as possible in treatment of older patients.

Fall incidents in nursing home residents: development of a predictive clinical rule (FINDER)

OBJECTIVES

To develop (part I) and validate (part II) an electronic fall risk clinical rule (CR) to identify nursing home residents (NH-residents) at risk for a fall incident.

DESIGN

Observational, retrospective case-control study.

SETTING

Nursing homes.

PARTICIPANTS

A total of 1668 (824 in part I, 844 in part II) NH-residents from the Netherlands were included. Data of participants from part I were excluded in part II.

PRIMARY AND SECONDARY OUTCOME MEASURES

Development and validation of a fall risk CR in NH-residents. Logistic regression analysis was conducted to identify the fall risk-variables in part I. With these, three CRs were developed (ie, at the day of the fall incident and 3 days and 5 days prior to the fall incident). The overall prediction quality of the CRs were assessed using the area under the receiver operating characteristics (AUROC), and a cut-off value was determined for the predicted risk ensuring a sensitivity ≥0.85. Finally, one CR was chosen and validated in part II using a new retrospective data set.

RESULTS

Eleven fall risk-variables were identified in part I. The AUROCs of the three CRs form part I were similar: the AUROC for models I, II and III were 0.714 (95% CI: 0.679 to 0.748), 0.715 (95% CI: 0.680 to 0.750) and 0.709 (95% CI: 0.674 to 0.744), respectively. Model III (ie, 5 days prior to the fall incident) was chosen for validation in part II. The validated AUROC of the CR, obtained in part II, was 0.603 (95% CI: 0.565 to 0.641) with a sensitivity of 83.41% (95% CI: 79.44% to 86.76%) and a specificity of 27.25% (95% CI 23.11% to 31.81%).

CONCLUSION

Medication data and resident characteristics alone are not sufficient enough to develop a successful CR with a high sensitivity and specificity to predict fall risk in NH-residents.

TRIAL REGISTRATION NUMBER

Not available.

Impact of a Pharmacy-Led Fall Prevention Program for Institutionalized Older People

OBJECTIVE

To evaluate the impact of pharmacy interventions on recurrence of falls in older people.

DESIGN

Prospective case-crossover study.

SETTING

LECOM Health Nursing and Rehabilitation (LNR) and Senior Living Center (SLC) and Millcreek Community Hospital older adult behavioral health and inpatient rehabilitation units (IRU).

PARTICIPANTS

Twenty and 15 residents of the SLC and LNR, respectively, and 5 and 2 patients of the older adult behavioral health unit and IRU, respectively, experienced a fall during the 8-week study period.

INTERVENTIONS

Medication reviews were conducted by a pharmacist assessing for fall risk-increasing drugs (FRIDs). Adverse effects, drug interactions, and nonpharmacologic causes were evaluated, and recommendations were made to reduce future fall risk.

MAIN OUTCOME MEASURES

Recommendation acceptance rate, FRID use, and incidence of recurrent falls.

RESULTS

Eighty percent of fall risk-reduction recommendations were accepted and implemented by the medical team. The mean number of potential FRIDs prescribed per participant was reduced from 3.71 to 3.38. There was a 12.4% reduction in recurrent falls after pharmacy intervention (P = 0.0336; odds ratio [95% confidence interval] = 1.783 [1.045-3.112]).

CONCLUSION

Pharmacist interventions for older people who experience a fall were associated with a high acceptance rate by health care providers, a reduction in FRID use, and decreased rate of recurrent falls.

Clonazepam tops the list of potentially inappropriate psychotropic (PIP) medications in older adults with psychiatric illness: A cross-sectional study based on Beers criteria 2019 vs STOPP criteria 2015

BACKGROUND

In older adults, polypharmacy and potentially inappropriate psychotropic (PIP) medication use are prominent prescription challenges. However, there is limited information available on the use of PIP medication in older adults having psychiatry illness.

OBJECTIVE

To find out the most commonly prescribed PIP in tertiary care hospitals of developing countries with respect to Beers criteria 2019 and Screening Tool of Older Persons' Potentially Inappropriate Prescriptions (STOPP) and predictors of PIP.

METHODS

A cross-sectional analysis of 456 patients of either sex with a median age of 65 years visiting the outpatient department of psychiatry was performed at the tertiary care hospital of North India with respect to Beers criteria 2019 and STOPP criteria 2015. Bivariate logistic regression was used to figure out the predictors of PIP medication.

RESULTS

Results of the study reflects a staggering number of older adults, (more than 91 % and 73 %) out of total 456 patients were prescribed with at least one PIP medication as per Beers criteria and STOPP criteria, respectively. Long-acting benzodiazepine like clonazepam, chlordiazepoxide were identified as one of the most commonly prescribed PIP medications with respect to the both set of criteria. Further analysis revealed that polypharmacy (≥5 medications with odds Ratio (OR) 17.33, 95% Confidence Interval (CI) 1.42-210.66, P-0.025) as the sole important predictor for PIP medication.

CONCLUSION

According to the Beers criterion and the STOPP criteria, the use of PIP medicine is very prevalent among older adults with psychiatric illness. The Beers criteria dramatically diagnose more PIP medication than STOPP criteria.

Injury Related to Fall and Its Predictors among Medically Diagnosed Adults with Visual Impairment in Ethiopia: An Observational Cross-Sectional Study

Background

Fall-related injury is the common cause of unintentional injury and premature death among people with visual impairment. So far, the knowledge about fall-related injuries among medically diagnosed visual impairment people living in low- and middle-income countries is scarce. Hence, this study is a preliminary attempt to assess the fall-related injury and its determinants among adult people with medically diagnosed visual impairment individuals.

Methods

An institutional-based cross-sectional study was conducted from March to July 2018 with a total sample size of 337 study participants. The study participants were recruited by using a systematic random sampling method. Univariable and multivariable binary logistic regression model analysis was used to identify predictors of fall-related injuries with IBM Statistical Package for Social Sciences version 23.

Results

A total of 320 adults with visual impairments participants have participated in this study. The finding of this study was reported as follows: 24.7% of (95% CI: 20.0–29.4%) adults with visual impairments experienced one or more fall-related injuries. The main predictors of fall-related injuries identified by multivariate analysis were severity of visual impairment: moderate (AOR, 2.91; 95% CI: 1.23 – 6.87), severe (AOR, 3.58; 95% CI: 1.26–10.17), cause of visual impairment: cataract (AOR, 10.63; 95% CI: 2.49 – 45.26), diabetic retinopathy (AOR, 15.35; 95% CI: 2.51–93.96), taking medication (AOR, 6.35; 95% CI: 2.93–13.75), having family support (AOR, 2.13; 95% CI: 1.08 – 4.19), and depression (AOR 3.82, 95% CI: 1.27–11.45).

Conclusion

Soft tissue injuries were the most common fall-related injuries reported by the study participants. The severity of visual impairment, the cause of visual impairment, taking one or more medication, having family support, and having depression were significant predictors of fall-related injuries.

CYP2D6-inhibiting drugs and risk of fall injuries after newly initiated antidepressant and antipsychotic therapy in a Swedish, register-based case-crossover study

Drug-drug interactions have been shown to affect the risk of fall injuries when opioids are used concomitantly with drugs inhibiting the cytochrome P450 2D6 (CYP2D6) enzyme in a previous pharmacoepidemiological study. The aim of this study was to determine whether CYP2D6-inhibiting drugs reinforce the risk of fall injuries when used concomitantly with antidepressants or antipsychotics. We identified all 252,704 adults with a first fall injury leading to hospitalisation from the National Patient Register in Sweden 2006–2013. Data on dispensed drugs was linked from the Swedish Prescribed Drug Register. We applied a case-crossover design to analyse newly dispensed (28 days preceding the fall injury, preceded by a 12-week washout period) antidepressants and antipsychotics, respectively, in relation to risk of a fall injury and according to concomitant use of CYP2D6-inhibiting drugs. Newly dispensed drugs were assessed correspondingly in a control period of equal length, 28 days prior to the 12-week washout period. Overall, the risk of fall injury was increased after newly initiated antidepressant and antipsychotic treatment. For antidepressants, concomitant CYP2D6 inhibitor use further elevated the risk estimates compared to non-use, most pronounced for the groups selective serotonin reuptake inhibitors (sertraline excluded) [OR = 1.47 (95% CI 1.19–1.80) vs. OR = 1.19 (95% CI 1.13–1.26)], and tricyclic antidepressants [OR = 1.71 (95% CI 1.17–2.51) vs. 1.27 (95% CI 1.11–1.47)] as well as for sertraline [OR = 1.61 (95% CI 1.05–2.38) vs. 1.12 (95% CI 1.00–1.26)]. For antipsychotics, the risk of fall injury was not altered by concomitant use of CYP2D6-inhibiting drugs. In conclusion, concomitant use of CYP2D6 inhibiting drugs tends to further increase the risk of fall injury in newly initiated antidepressant treatment, but not in antipsychotic treatment.

Preexisting dementia is associated with higher mortality rate in patients with femoral neck fracture

OBJECTIVE

This study aimed to assess the mortality and the influence of age, Abbreviated Mental Test (AMT) scores, and American Society of Anesthesiologists (ASA) grades on patients with dementia and femoral neck fracture (FNF) at 30 days, 4 months, 1 year, and 2 years after undergoing surgery.

METHODS

Of 1296 patients admitted with FNF, 180 had had prefracture dementia. A retrospective study of these 180 patients was carried out. The patient demographics, including age, sex, presence of diabetes mellitus (DM), lipid profile, AMT score, preoperative comorbidities, ASA grade, and incidence of postoperative delirium, were documented.

RESULTS

A total of 113 patients (62.8%) died postoperatively. The mortality rate was 17.7% (20 patients) at 30 days, 54.9% (62 patients) at 4 months, 77.9% (88 patients) at 1 year, and 87.6% (99 patients) at 2 years. The mortally rate in dementia with FNF was three times higher than that in FNF without dementia and was independent of age, ASA grades, DM, lipid profile, AMT scores, and development of postoperative delirium.

CONCLUSIONS

Dementia should be a principal predictive factor in mortality of FNF and should be a key determinant in all frailty scores.

A cross-sectional study of psychotropic drug use in the elderly: Consuming patterns, risk factors and potentially inappropriate use

OBJECTIVES

The aims of the present study were: (1) to describe psychotropic drug consumption patterns in an outpatient population aged 65 years and older; (2) to determine the impact of a number of demographic and clinical factors on psychotropic consumption; and (3) to determine the ratio of potentially inappropriate psychotropic agents prescribed to the above population.

METHODS

Cross-sectional, observational study of outpatients aged 65 years and older. Data on sociodemographic and clinical variables were collected. Psychotropic drugs were classified into three categories: anxiolytics-hypnotics, antidepressants, and antipsychotics. To determine the risk factors for psychotropic drug use among these patients, a multivariate logistic regression model was developed and subsequently validated using bootstrap resampling techniques. To identify the psychotropic drugs to be avoided, a review of treatments received by the patients was performed based on the 2015 version of the Beers criteria.

RESULTS

The study included 225 outpatients of whom 30.7% were on psychotropic drugs for chronic treatment. The highest likelihood of psychotropic utilisation corresponded to the following profile: female, living in a nursing home, having two or more prescribing physicians, and having received six or more different diagnoses. According to Beers criteria, 51 patients (22.7% of the sample and 73.9% of patients on psychotropic drugs) had been prescribed at least one potentially inappropriate psychotropic drug.

CONCLUSION

Elderly patients commonly use psychotropic medications and are the most vulnerable to the adverse effects of these drugs. It is necessary to re-evaluate the pertinence and accuracy of these medical prescriptions.

Deprescribing fall-risk increasing drugs (FRIDs) for the prevention of falls and fall-related complications: a systematic review and meta-analysis

OBJECTIVES

Prevention of falls and fall-related injuries is a priority due to the substantial health and financial burden of falls on patients and healthcare systems. Deprescribing medications known as 'fall-risk increasing drugs' (FRIDs) is a common strategy to prevent falls. We conducted a systematic review to determine its efficacy for the prevention of falls and fall-related complications.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, CINAHL and grey literature from inception to 1 August 2020.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Randomised controlled trials of FRID withdrawal compared with usual care evaluating the rate of falls, incidence of falls, fall-related injuries, fall-related fractures, fall-related hospitalisations or adverse effects related to the intervention in adults aged ≥65 years.

DATA EXTRACTION AND SYNTHESIS

Two reviewers independently performed citation screening, data abstraction, risk of bias assessment and certainty of evidence grading. Random-effects models were used for meta-analyses.

RESULTS

Five trials involving 1305 participants met eligibility criteria. Deprescribing FRIDs did not change the rate of falls (rate ratio (RaR) 0.98, 95% CI 0.63 to 1.51), the incidence of falls (risk difference 0.01, 95% CI -0.06 to 0.09; relative risk 1.04, 95% CI 0.86 to 1.26) or rate of fall-related injuries (RaR 0.89, 95% CI 0.57 to 1.39) over a follow-up period of 6-12 months. No trials evaluated the impact of deprescribing FRIDs on fall-related fractures or hospitalisations.

CONCLUSION

There is a paucity of robust high-quality evidence to support or refute that a FRID deprescribing strategy alone is effective at preventing falls or fall-related injury in older adults. Although there may be other reasons to deprescribe FRIDs, our systematic review found that it may result in little to no difference in the rate or risk of falls as a sole falls reduction strategy.

PROSPERO REGISTRATION NUMBER

CRD42016040203.

The Prevalence and Characteristics of Psychotropic-Related Hospitalizations in Older People: A Systematic Review and Meta-Analysis

OBJECTIVES

To assess the prevalence and characteristics of psychotropic medication-related hospitalizations in older people.

DESIGN

Systematic review with meta-analysis.

SETTING AND PARTICIPANTS

Older adults (≥65 years of age) with psychotropic-related hospitalizations.

METHODS

A search of published literature was performed in Medline, Embase, CINAHL, and Scopus from 2010 to March 2020. Three authors independently screened titles, abstracts, and full texts of relevant studies for relevance. Two authors independently extracted full text data, including characteristics, measures of causality, prevalence data, and performed quality assessment. A meta-analysis was conducted to estimate pooled prevalence and 95% confidence intervals (CIs) of psychotropic-related hospitalizations using random effects models. Heterogeneity was explored using subgroup analyses.

RESULTS

Of 815 potentially relevant studies, 11 were included in the final analysis. Five studies were cross-sectional studies, 5 were cohort studies, and 1 was a case control study. The majority of studies were rated as good quality. Psychotropic medications contributed to 2.1% (95% CI 1.2%-3.3%) of total hospitalizations and 11.3% (95% CI 8.2%-14.8%) of adverse drug event-related hospitalizations. The main psychotropic medications attributable to hospitalizations were antidepressants, hypnotics, sedatives, and antipsychotics.

CONCLUSIONS AND IMPLICATIONS

Psychotropic medications are a significant contributor to hospitalizations in older adults. The risk of hospitalization was greatest for those taking antidepressants, antipsychotics, hypnotics, and sedatives. Future studies should aim to address specific medication subgroups and implement uniform adverse drug event-related classification systems to improve comparability across studies.

Special Report from the CDC Antidepressant subclass use and fall risk in community-dwelling older Americans

INTRODUCTION

Falls among older adults are a significant health concern affecting more than a quarter of older adults (age 65+). Certain fall risk factors, such as medication use, increase fall risk among older adults (age 65+).

AIM

The aim of this study is to examine the association between antidepressant-medication subclass use and self-reported falls in community-dwelling older adults.

METHODS

This analysis used the 2009-2013 Medicare Current Beneficiary Survey, a nationally representative panel survey. A total of 8,742 community-dwelling older adults, representing 40,639,884 older Medicare beneficiaries, were included. We compared self-reported falls and psychoactive medication use, including antidepressant subclasses. These data are controlled for demographic, functional, and health characteristics associated with increased fall risk. Descriptive analyses and multivariate logistic regression analyses were conducted using SAS 9.4 and Stata 15 software.

RESULTS

The most commonly used antidepressant subclass were selective serotonin reuptake inhibitors (SSRI) antidepressants (13.1%). After controlling for characteristics associated with increased fall risk (including depression and concurrent psychoactive medication use), the risk of falling among older adults increased by approximately 30% among those who used a SSRI or a serotonin-norepinephrine reuptake inhibitors (SNRI) compared to non-users. The adjusted risk ratio (aRR) for SSRI was 1.29 (95% CI = 1.13, 1.47) and for SNRI was 1.32 (95% CI = 1.07, 1.62).

CONCLUSION

SSRI and SNRI are associated with increased risk of falling after adjusting for important confounders. Medication use is a modifiable fall risk factor in older adults and can be targeted to reduce risk of falls. Practical Applications: Use of selective serotonin reuptake inhibitors and serotonin-norepinephrine reuptake inhibitors increased the risk of falling in older adults by approximately 30%, even after controlling for demographic, functional, and health characteristics, including depression. Health care providers can work towards reducing fall risk among their older patients by minimizing the use of certain medications when potential risks outweigh the benefits.