Benzodiazepines with different half-life and falling in a hospitalized population: The GIFA study. Gruppo Italiano di Farmacovigilanza nell'Anziano

A novel multistep approach to standardize the reported risk factors for in-hospital falls: a proof-of-concept study

Background

Uncertainty and inconsistency in terminology regarding the risk factors (RFs) for in-hospital falls are present in the literature.

Objective

(1) To perform a literature review to identify the fall RFs among hospitalized adults; (2) to link the found RFs to the corresponding categories of international health classifications to reduce the heterogeneity of their definitions; (3) to perform a meta-analysis on the risk categories to identify the significant RFs; (4) to refine the final list of significant categories to avoid redundancies.

Methods

Four databases were investigated. We included observational studies assessing patients who had experienced in-hospital falls. Two independent reviewers performed the inclusion and extrapolation process and evaluated the methodological quality of the included studies. RFs were grouped into categories according to three health classifications (ICF, ICD-10, and ATC). Meta-analyses were performed to obtain an overall pooled odds ratio for each RF. Finally, protective RFs or redundant RFs across different classifications were excluded.

Results

Thirty-six articles were included in the meta-analysis. One thousand one hundred and eleven RFs were identified; 616 were linked to ICF classification, 450 to ICD-10, and 260 to ATC. The meta-analyses and subsequent refinement of the categories yielded 53 significant RFs. Overall, the initial number of RFs was reduced by about 21 times.

Conclusion

We identified 53 significant RF categories for in-hospital falls. These results provide proof of concept of the feasibility and validity of the proposed methodology. The list of significant RFs can be used as a template to build more accurate measurement instruments to predict in-hospital falls.

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.

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.

Therapeutic dilemmas with benzodiazepines and Z-drugs: insomnia and anxiety disorders versus increased fall risk: a clinical review

PURPOSE

The aim of this clinical review was to summarise the existing knowledge on fall risk associated with benzodiazepines (BZDs) and Z-drugs in older people with focus on appropriate prescribing, including deprescribing.

METHODS

We conducted a literature search in June 2021 in PubMed and Embase with citation and reference checking. Personal reference libraries and international websites were also used. Keywords for the searches included "benzodiazepines", "Z-drugs", "falls", "deprescribing", "fall-risk-increasing-drugs", "inappropriate prescribing", "older people" and matching synonyms. We discuss use of BZDs and Z-drugs, potential fall-related adverse reactions, alternatives for and deprescribing of BZDs and Z-drugs in older persons.

RESULTS

BZDs and Z-drugs differ in fall-related adverse effect profile. They contribute to fall risk through orthostatic hypotension, dizziness and/or imbalance, sedation, muscular weakness, ataxia, etc. Fall incidents contribute significantly to mortality and morbidity. Therefore, there is a need for appropriate prescribing and use of BZDs and Z-drugs in older people. In practice, this means pertaining to a strict indication, strongly consider to non-pharmacological alternatives, limit use to the lowest dose and the shortest duration possible. Judicious deprescribing should be considered and encouraged as well. Practical resources, tools and algorithms are available to guide and assist clinicians in deprescribing BZDs and Z-drugs.

CONCLUSIONS

Prescribing BZDs and Z-drugs should be done in a well-considered way in fall-prone older people. A good overview and insight in the fall-related adverse effects of these drugs, as well as the availability of different strategies to increase the appropriate use, including deprescribing initiatives, can assist clinicians in clinical decision-making.

Identifying barriers and facilitators to deprescribing benzodiazepines and sedative hypnotics in the hospital setting using the Theoretical Domains Framework and the Capability, Opportunity, Motivation and Behaviour (COM-B) Model: a qualitative study

OBJECTIVES

Geriatric guidelines strongly recommend avoiding benzodiazepines and non-benzodiazepine sedative hypnotics in older adults. Hospitalisation may provide an important opportunity to begin the process of deprescribing these medications, particularly as new contraindications arise. We used implementation science models and qualitative interviews to describe barriers and facilitators to deprescribing benzodiazepines and non-benzodiazepine sedative hypnotics in the hospital and develop potential interventions to address identified barriers.

DESIGN

We used two implementation science models, the Capability, Opportunity and Behaviour Model (COM-B) and the Theoretical Domains Framework, to code interviews with hospital staff, and an implementation process, the Behaviour Change Wheel (BCW), to codevelop potential interventions with stakeholders from each clinician group.

SETTING

Interviews took place in a tertiary, 886-bed hospital located in Los Angeles, California.

PARTICIPANTS

Interview participants included physicians, pharmacists, pharmacist technicians, and nurses.

RESULTS

We interviewed 14 clinicians. We found barriers and facilitators across all COM-B model domains. Barriers included lack of knowledge about how to engage in complex conversations about deprescribing (capability), competing tasks in the inpatient setting (opportunity), high levels of resistance/anxiety among patients to deprescribe (motivation), concerns about lack of postdischarge follow-up (motivation). Facilitators included high levels of knowledge about the risks of these medications (capability), regular rounds and huddles to identify inappropriate medications (opportunity) and beliefs that patients may be more receptive to deprescribing if the medication is related to the reason for hospitalisation (motivation). Potential modes of delivery included a seminar aimed at addressing capability and motivation barriers in nurses, a pharmacist-led deprescribing initiative using risk stratification to identify and target patients at highest need for deprescribing, and the use of evidence-based deprescribing education materials provided to patients at discharge.

CONCLUSIONS

While we identified numerous barriers and facilitators to initiating deprescribing conversations in the hospital, nurse- and pharmacist-led interventions may be an appropriate opportunity to initiate deprescribing.

Effects of electroconvulsive therapy on the use of anxiolytics and sleep medications: a propensity score-matched analysis

AIM

We investigated the association of electroconvulsive therapy (ECT) with anxiolytic and sleep medication use in patients with major depressive disorder (MDD) and schizophrenia (SZ).

METHODS

This nationwide observational study analyzed data from 3483 MDD inpatients and 6663 SZ inpatients. Patients with MDD and SZ were classified into those who underwent ECT during hospitalization and those who did not. A propensity score-matching method was performed to adjust for preadmission characteristics and clinical information, which were expected bias between the two groups. Rates of anxiolytic and sleep medication use at discharge were compared in the matched sample.

RESULTS

500 MDD patients were assigned to both groups. In the matched MDD sample, the rate of anxiolytic and sleep medication use at discharge was significantly lower in the ECT group than in the non-ECT group (64.9% vs. 75.8%, P = 1.7 × 10^-4 ). In the ECT group, the rate of anxiolytic and sleep medication use at discharge was significantly lower than that prior to admission (64.9% vs. 73.2%, P = 1.2 × 10^-14 ). 390 SZ patients were allocated. In the matched SZ sample, the ECT group was not significantly different from the non-ECT group in the rate of anxiolytics and sleep medications use at discharge (61.3% vs. 68.2%, P = 4.3 × 10^-2 ). In the ECT group, the rate of anxiolytics and sleep medications use at discharge was significantly lower than that before admission (61.3% vs. 70.5%, P = 4.4 × 10^-4 ), although this was not the primary outcome.

CONCLUSION

Reduction of anxiolytic and sleep medication use may be considered positively when ECT is indicated for treatment of MDD.

Benzodiazepines: Uses, Dangers, and Clinical Considerations

Benzodiazepines (BZDs) are among one of the most widely prescribed drug classes in the United States. BZDs are a class of psychoactive drugs known for their depressant effect on the central nervous system (CNS). They quickly diffuse through the blood-brain barrier to affect the inhibitory neurotransmitter GABA and exert sedative effects. Related to their rapid onset and immediate symptom relief, BZDs are used for those struggling with sleep, anxiety, spasticity due to CNS pathology, muscle relaxation, and epilepsy. One of the debilitating side effects of BZDs is their addictive potential. The dependence on BZDs generally leads to withdrawal symptoms, requiring careful tapering of the medication when prescribed. Regular use of BZDs has been shown to cause severe, harmful psychological and physical dependence, leading to withdrawal symptoms similar to that of alcohol withdrawal. Some of these withdrawal symptoms can be life threatening. The current treatment for withdrawal is through tapering with clonazepam. Many drugs have been tested as a treatment for withdrawal, with few proving efficacious in randomized control trials. Future research is warranted for further exploration into alternative methods of treating BZD withdrawal. This call to action proves especially relevant, as those seeking treatment for BZD dependence and withdrawal are on the rise in the United States.

Risk of In-Hospital Falls among Medications Commonly Used for Insomnia in Hospitalized Patients

STUDY OBJECTIVES

To investigate the risk of in-hospital falls among patients receiving medications commonly used for insomnia in the hospital setting.

METHODS

Retrospective cohort study of all adult hospitalizations to a large academic medical center from 1/2007 to 7/2013. We excluded patients admitted for a primary psychiatric disorder. Medication exposures of interest, defined by pharmacy charges, included benzodiazepines, non-benzodiazepine benzodiazepine receptor agonists (BZRAs), trazodone, atypical antipsychotics, and diphenhydramine. In-hospital falls were ascertained from an online patient safety reporting system.

RESULTS

Among the 225,498 hospitalizations (median age = 57 years; 57.9% female) in our cohort, 84,911 (37.7%) had exposure to at least one of the five medication classes of interest; benzodiazepines were the most commonly used (23.5%), followed by diphenydramine (8.3%), trazodone (6.6%), BZRAs (6.4%), and atypical antipsychotics (6.3%). A fall occurred in 2,427 hospitalizations (1.1%). The rate of falls per 1,000 hospital days was greater among hospitalizations with exposure to each of the medications of interest, compared to unexposed: 3.6 versus 1.7 for benzodiazepines (adjusted hazard ratio [aHR] 1.8, 95%CI 1.6-1.9); 5.4 versus 1.8 for atypical antipsychotics (aHR 1.6, 95%CI 1.4-1.8); 3.0 versus 2.0 for BZRAs (aHR 1.5, 95%CI 1.3-1.8); 3.3 versus 2.0 for trazodone (aHR 1.2, 95%CI 1.1-1.5); and 2.5 versus 2.0 for diphenhydramine (aHR 1.2, 95%CI 1.03-1.5).

CONCLUSIONS

In this large cohort of hospitalizations at an academic medical center, we found an association between each of the sedating medications examined and in-hospital falls. Benzodiazepines, BZRAs, and atypical antipsychotics had the strongest associations.

Impact of changes in controlled drugs legislation on benzodiazepine receptor agonist prescribing in Ireland: a repeated cross-sectional study

Purpose

To examine the impact of new controlled drugs legislation introduced in May 2017 on benzodiazepine receptor agonist (BZRA) prescribing in Ireland.

Methods

A repeated cross-sectional analysis was conducted using publically available monthly pharmacy claims data from the General Medical Services (GMS) database. The study population comprised all GMS-eligible individuals aged ≥ 16 years from January 2016 to September 2019. Monthly prevalence rates of individuals receiving BZRA prescriptions per 10,000 eligible population were calculated and trends examined over time. Segmented linear regression of prevalence rates was used to examine changes before and after introduction of the legislation stratified by gender and age groups. Regression coefficients (β) and 95% confidence intervals (CIs) for monthly change were calculated.

Results

Pre-legislation (January 2016 to April 2017), there was a significant monthly decline in benzodiazepine prevalence rate (β = − 1.18; 95% CI − 1.84, − 0.51; p < 0.001) but no significant change in Z-drug prescribing. Post-legislation (May 2017 to September 2019), increases in prevalence rates were observed for benzodiazepines (β = 1.04; 95% CI 0.17, 1.92; p = 0.021) and Z-drugs (β = 1.04; 95% CI 0.26, 1.83; p = 0.010). Post-legislation trends showed increases in BZRA prevalence rates among the youngest subgroup (16–44 years), with variable changes in the middle-aged subgroup (45–64 years) and no changes in the oldest subgroup (≥ 65 years).

Conclusions

This study indicates that introduction of new legislation had limited impact on BZRA prescribing on the main public health scheme in Ireland. Interventions targeting specific population subgroups may be required to achieve sustained reductions in prescribing.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00228-020-03063-z.

Risk of hospitalisation associated with benzodiazepines and z-drugs in Italy: a nationwide multicentre study in emergency departments

Benzodiazepines (BZD) and z-drugs (ZD) are a widely prescribed group of medicines. They are often used inappropriately, and this is associated with adverse events (AEs), which may cause emergency department (ED) visits. The present study aimed to describe the characteristics of BZD and ZD related AEs leading to emergency department (ED) visit and hospitalisation in Italy, considering their plasma half-life. Ninety-two Italian EDs were monitored between 2007 and 2018. Rates of ED visit and hospitalisation were calculated. Multivariate logistic regression was used to estimate the reporting odds ratios (RORs) of hospitalisation. Univariate linear regression was performed to evaluate the ROR of hospitalisation according the plasma half-life of the suspected agents. A total of 3203 AE reports were collected. Overall, multivariate logistic regression showed that the risk of hospitalisation was higher for prazepam (3.26 [1.31-8.11]), flurazepam (1.62 [1.15-2.27]), and lorazepam (1.36 [1.15-1.61]). In the elderly, this risk was higher for prazepam (3.98 [1.03-15.3]), and lorazepam (1.58 [1.19-2.11]). Parenteral and rectal formulations were associated with a lower risk of hospitalisation compared to oral formulations. Our findings underlined the dangers in the use of BZD and ZD in Italy, particularly in women and older adults. ED clinicians must always take into account that the higher risk in terms of hospitalisation related to the use of BZD and ZD can be observed in patients treated with oral formulations, in those exposed to more than one sedative-hypnotics, and in patients exposed to compounds with intermediate or long plasma half-life.

Predicting Inpatient Falls Using Natural Language Processing of Nursing Records Obtained From Japanese Electronic Medical Records: Case-Control Study

BACKGROUND

Falls in hospitals are the most common risk factor that affects the safety of inpatients and can result in severe harm. Therefore, preventing falls is one of the most important areas of risk management for health care organizations. However, existing methods for predicting falls are laborious and costly.

OBJECTIVE

The objective of this study is to verify whether hospital inpatient falls can be predicted through the analysis of a single input-unstructured nursing records obtained from Japanese electronic medical records (EMRs)-using a natural language processing (NLP) algorithm and machine learning.

METHODS

The nursing records of 335 fallers and 408 nonfallers for a 12-month period were extracted from the EMRs of an acute care hospital and randomly divided into a learning data set and test data set. The former data set was subjected to NLP and machine learning to extract morphemes that contributed to separating fallers from nonfallers to construct a model for predicting falls. Then, the latter data set was used to determine the predictive value of the model using receiver operating characteristic (ROC) analysis.

RESULTS

The prediction of falls using the test data set showed high accuracy, with an area under the ROC curve, sensitivity, specificity, and odds ratio of mean 0.834 (SD 0.005), mean 0.769 (SD 0.013), mean 0.785 (SD 0.020), and mean 12.27 (SD 1.11) for five independent experiments, respectively. The morphemes incorporated into the final model included many words closely related to known risk factors for falls, such as the use of psychotropic drugs, state of consciousness, and mobility, thereby demonstrating that an NLP algorithm combined with machine learning can effectively extract risk factors for falls from nursing records.

CONCLUSIONS

We successfully established that falls among hospital inpatients can be predicted by analyzing nursing records using an NLP algorithm and machine learning. Therefore, it may be possible to develop a fall risk monitoring system that analyzes nursing records daily and alerts health care professionals when the fall risk of an inpatient is increased.

Effects of benzodiazepines on orthostatic blood pressure in older people

BACKGROUND

Older people taking benzodiazepines (BDZs) have higher risk of falling, which is mainly attributed to cognitive and psychomotor effects. BDZs may also have hypotensive effects. We investigated the association between BDZs and orthostatic blood pressure behaviour in older people.

METHODS

We retrospectively analysed data from an outpatient clinic where people aged 60 or older underwent a geriatric assessment. Non-invasive beat-to-beat orthostatic systolic blood pressure (SBP) was assessed at regular time intervals before and after an active stand test. We compared clinical characteristics between BDZs users and non-users and also investigated if BDZs use was an independent predictor of baseline SBP. Factors associated with SBP change were investigated using a repeated measures general linear model.

RESULTS

Of 538 participants (67.7% female, mean age 72.7), 33 (6.1%) reported regular BDZs use. BDZ users had lower baseline SBP (149 versus 161 mmHg, P < 0.05). Multiple linear regression confirmed BDZs use as independent predictor of baseline SBP in N = =538. At 10 s post-stand, the SBP difference between BDZs use groups became maximum (21 mmHg); at this point, SBP still seemed to be decreasing in BDZ-users, whereas in controls it seemed to be recovering. After adjustment (age, sex, hypertension, frailty, comorbidity, antihypertensives), BDZs were associated with greater SBP reduction between baseline and 10 s post-stand (P < 0.05).

CONCLUSION

Older people taking BDZs may have a higher risk of orthostatic hypotension, perhaps due to an exaggerated immediate BP drop. This adds to other BDZ-related falls risks. BDZs should be avoided in older people at risk of falling.

Medications and Patient Characteristics Associated With Falling in the Hospital

OBJECTIVES

The aim of this study was to evaluate specific medications and patient characteristics as risk factors of falling in the hospital.

METHODS

This is a case-control study comparing demographic, health, mobility, and medication data for 228 patients who fell between June 29, 2007, and November 14, 2007, at a large tertiary care hospital and 690 randomly selected control patients. Logistic regression was used to identify fall risk factors.

RESULTS

Independent risk factors of falling included history of falls (odds ratio [OR], 2.7; 95% confidence interval [CI], 1.8-4.2); needing an assistive device (OR, 3.2; 95% CI, 1.5-6.8) or person assistance (OR, 2.1; 95% CI, 1.3-3.3) to ambulate; being underweight (OR, 2.4; 95% CI, 1.2-4.7) or obese (OR, 1.6; 95% CI, 1.0-2.5); confusion (OR, 2.4; 95% CI, 1.5-4.0); dizziness (OR, 2.1; 95% CI, 1.1-4.3); incontinence (OR, 1.5; 95% CI, 1.0-2.3); and an order for a hydantoin (OR, 3.3; 95% CI, 1.3-8.0) or benzodiazepine anticonvulsant (OR, 2.2; 95% CI, 1.5-3.3), haloperidol (OR, 2.8; 95% CI, 1.2-6.8), tricyclic antidepressant (OR, 2.4; 95% CI, 1.2-4.9), or insulin (OR, 1.5; 95% CI, 1.0-2.1). Female sex (OR, 0.8; 95% CI, 0.6-1.0), proton pump inhibitors (OR, 0.6; 95% CI, 0.4-0.9), and muscle relaxants (OR, 0.4; 95% CI, 0.3-0.7) were associated with lower risk for falling.

CONCLUSIONS

This study identified medications and patient characteristics associated with increased risk for falling in the hospital. High-risk medications identified in this study may serve as targets for medication review or adjustment, which have been recommended as a component of multifaceted fall prevention programs.

The prevalence of benzodiazepines utilization and its association with falls among Saudi older adults; results from the Saudi national survey for elderly Health (SNSEH)

PURPOSE

First, to determine benzodiazepines prevalence (BDZs) among Saudi older adults (SOA); Second, to quantify the association between BDZs use and falls among SOA. Third, to determine falls effect on all-cause mortality among SOA.

METHODS

This is a cross-sectional study that used the Saudi National Survey for Elderly Health; a nationally-representative, population-based survey. Participants were asked about BDZs use and falls history during the 12 months prior to the interview. Demographics, medications, comorbidities and housing conditions were used as covariates. Multiple imputation was used to impute missing data. Modified poisson multivariable regression was used to study the association between BDZs and falls. Cox- proportional hazard regression was used to determine falls effect on mortality over nine years period.

RESULTS

Among 2946 SOA, BDZs prevalence was 4%. Around 13% reported falls. In the multivariable regression, relative risk (RR) of falls was 2 comparing BDZs users to non-users (95CI%: 1.02-3.99). Antidepressants (RR = 1.72; 95%CI: 1.10-2.74), laxatives (RR = 1.38; 95%CI: 1.11-1.7), low body mass index (RR = 1.94; 95%CI: 1.33-2.84), mild cognitive impairment (RR = 1.56; 95%CI: 1.21-2.03), high door steps (RR = 1.54; 95%CI: 1.23-1.93) and insufficient illumination (RR = 1.38; 95%CI: 1.11-1.71) increased falls risk. Lastly, the hazard ratio of falls on death was 1.48 (95%CI: 1.17, 1.89) over nine years.

CONCLUSION

Despite the recommendation against BDZs use among older adults, still there were subjects who were prescribed these drugs. falls are common among SOA. Preventive strategies such medication therapy management, nutrition improvement, elderly-friendly housing structures can reduce the prevalence of falls and consequent increase in mortality among SOA.

Effects of chronic marijuana use on driving performance

OBJECTIVES

The effects of marijuana on driving pose a significant public health concern. More studies on chronic marijuana use in driving are needed. The study objectives were to (1) assess differences in the Standardized Field Sobriety Test (SFST) and driving performance outcomes between chronic medical marijuana users and nonusers and (2) identify a cutoff tetrahydrocannabinol (THC) concentration above which chronic medical marijuana users demonstrate driving impairment.

METHODS

This prospective cross-sectional study assessed 31 chronic marijuana users and 41 nonusers. Rapid Detect Saliva Drug Screen 10-panel was administered to all participants. Participants were given a simple visual reaction time test (SVRT) and SFST consisting of the horizontal gaze nystagmus (HGN), the one leg stand (OLS), and the walk and turn (WAT) tests. The STISIM Drive M100 driving simulator assessed driving performance. Driving parameters included standard deviation of speed (SDS), deviation of mean lane position, off-road accidents, collisions, pedestrians hit, and car-following modulus, delay, and coherence. Cannabinoid blood plasma was obtained from marijuana users.

RESULTS

Marijuana users and nonusers did not differ in age (40.06 ± 13.92 vs. 41.53 ± 15.49, P = .6782). Marijuana users were more likely to fail the SFST (P = .005) and the WAT (P = .012) and HGN (P = .001) components. Marijuana users had slower SVRT (P = .031), less SDS (P = .039), and lower modulus (P = .003). Participants with THC >2 ng/mL (P = .017) and TCH >5 ng/mL (P = .008) had lower SDS. Participants with THC >2 ng/mL (P = .021) and THC >5 ng/mL (P = .044) had decreased modulus.

CONCLUSION

Chronic marijuana users had slower reaction times, deviated less in speed, and had difficulty matching a lead vehicle's speed compared to nonusers. The effects on SDS and modulus were present at cutoffs of 2 and 5 ng/mL.

Objective sleep alterations and long-term use of short or intermediate half-life benzodiazepine receptor agonists are risk factors for high blood pressure in individuals with insomnia: a study in 1272 individuals referred for sleep examinations

INTRODUCTION

Given conflicting data in the literature, the aim of this study was to examine the risk of high blood pressure (HBP) associated with sleep alterations, measured during polysomnography, and long-term use of benzodiazepine receptor agonists in a large sample of individuals with insomnia.

METHODS

Demographic and polysomnographic data from 1272 individuals with insomnia recruited from the research database of the sleep laboratory of Erasme Hospital were analyzed. HBP status was defined by the presence of one of the following: self-report at interview of either a physician's diagnosis or taking antihypertensive medication; or an average systolic blood pressure ≥140 mm Hg or an average diastolic blood pressure ≥90 mm Hg at the medical examination. Logistic regression analyses were conducted to examine the risk of HBP associated with objective sleep alterations and long-term use of benzodiazepine receptor agonists in individuals with insomnia.

RESULTS

The prevalence of HBP in individuals with insomnia is 30.03%. After adjustment for major confounding factors associated with HBP, multivariate logistic regression analysis revealed that short sleep duration (<5 h), severely reduced sleep efficiency (<65%), high sleep fragmentation (sleep fragmentation index ≥18/h), and long-term use of short or intermediate half-life benzodiazepine receptor agonists were significant risk factors for HBP in individuals with insomnia.

CONCLUSION

In individuals with insomnia, objective sleep alterations and long-term use of short or intermediate half-life benzodiazepine receptor agonists are associated with higher risk of HBP. Therefore, better management of these reversible risk factors is required to avoid the negative consequences of the co-occurrence of insomnia and HBP.

Association between the use of benzodiazepines and opioids with the risk of falls and hip fractures in older adults

ABSTRACTBackground:To determine the association between the use of opioids and benzodiazepines and the risk of falls with hip fracture in populations older than 65 years in Colombia.

METHODS

A case-control study with patients older than 65 years with diagnosis of hip fracture. Two controls were obtained per case. The drugs dispensed in the previous 30 days were identified. Sociodemographic, diagnostic, pharmacological (opioids and benzodiazepines), and polypharmacy variables were analyzed. A logistic regression model was used to analyze the risk of fall with hip fracture while using these drugs.

RESULTS

We included 287 patients with hip fractures and 574 controls. There was a female predominance (72.1%) and a mean age of 82.4 ± 8.0 years. Of the patients, 12.7% had been prescribed with opioids and 4.2% with benzodiazepines in the previous month. The adjusted multivariate analysis found that using opioids (OR:4.49; 95%CI:2.72-7.42) and benzodiazepines (OR:3.73; 95%CI:1.60-8.70) in the month prior to the event was significantly associated with a greater probability of suffering a fall with hip fracture.

CONCLUSIONS

People who are taking opioids and benzodiazepines have increased risk for hip fracture in Colombia. Strategies to educate physicians regarding the pharmacology of older adults should be strengthened.

Benzodiazepines and Z-Drugs: An Updated Review of Major Adverse Outcomes Reported on in Epidemiologic Research

Various adverse events resulting from, or associated with, benzodiazepine and/or Z-drug use have been extensively reported on and discussed in great detail within the biomedical literature. It is widely accepted that motor vehicle accidents and falls leading to fractures in older adults are major adverse events that have been shown to occur more frequently in users of sedative-hypnotic medication, especially of the benzodiazepine and related Z-drug variety. However, the last few years have seen increasing reports in the literature raising the issue of benzodiazepine and Z-drug exposure in the development of other serious medical issues including dementia, infections, respiratory disease exacerbation, pancreatitis, and cancer. This article provides an overview and interpretation on the current state of evidence regarding each of these associations and proposes what gaps in the evidence for drug-exposure–harm associations need to be addressed in the future for the purpose of evaluating causality of harm as it relates to these drugs.

Benzodiazepine and Z-drug prescribing in Ireland: analysis of national prescribing trends from 2005 to 2015

AIMS

The aim of this study was to examine prescribing trends for benzodiazepines and Z-drugs to General Medical Services (GMS) patients in Ireland.

METHODS

A repeated cross-sectional analysis of the national pharmacy claims database was conducted for GMS patients aged ≥16 years from 2005 to 2015. Prescribing rates per 1000 eligible GMS population were calculated with 95% confidence intervals (CIs). Negative binomial regression was used to determine longitudinal trends and compare prescribing rates across years, gender and age groups. Duration of supply and rates of concomitant benzodiazepine and Z-drug prescribing were determined. Age (16-44, 45-64, ≥65 years) and gender trends were investigated.

RESULTS

Benzodiazepine prescribing rates decreased significantly from 225.92/1000 population (95% CI 224.94-226.89) in 2005 to 166.07/1000 population (95% CI 165.38-166.75) in 2015 (P < 0.0001). Z-drug prescribing rates increased significantly from 95.36/1000 population (95% CI 94.73-96.00) in 2005 to 109.11/1000 population (95% CI 108.56-109.67) in 2015 (P = 0.048). Approximately one-third of individuals dispensed either benzodiazepines or Z-drugs were receiving long-term prescriptions (>90 days). The proportion of those receiving >1 benzodiazepine and/or Z-drug concomitantly increased from 11.9% in 2005 to 15.3% in 2015. Benzodiazepine and Z-drug prescribing rates were highest for older women (≥65 years) throughout the study period.

CONCLUSIONS

Benzodiazepine prescribing to the GMS population in Ireland decreased significantly from 2005 to 2015, and was coupled with significant increases in Z-drug prescribing. The study shows that benzodiazepine and Z-drug prescribing is common in this population, with high proportions of individuals receiving long-term prescriptions. Targeted interventions are needed to reduce potentially inappropriate long-term prescribing and use of these medications in Ireland.

What can predict and prevent the long-term use of benzodiazepines?

Although benzodiazepines (BZDs) are commonly prescribed for insomnia or anxiety, long-term use of BZDs causes serious adverse effects such as daytime drowsiness and cognitive decline. In the current study, we evaluated the predictors and preventers of long-term usage of BZDs from a retrospective survey by utilizing the 12-year prescription record of a university hospital. From the prescription data of 92,005 people, users of BZDs (n = 3,470, male = 39.2%, mean age = 60 ± 17.5) were analyzed. During this period, both the number of prescriptions (2722 in 2004 to 1019 in 2016) and the number of BZDs (1.73 in 2004 to 1.36 in 2016) gradually decreased, although more than half of the patients continued to take BZDs for over three years. High risk factors for long-term use of BZDs include elderly patients (>65 years old), high dosage (>5 mg diazepam per day), psychiatrist-prescribers, and users with polytherapy. Discontinuation is significantly found in users of hypnotic BZDs and alternative psychotropic medical drugs (including antipsychotics, serotonergic drugs, or newer types of sleep medicine). Future studies should focus on elucidating interventions that are more effective against long-term usage of BZDs.

[Elderly hospitalised people and walking capacities]

Falls in the elderly are frequent. A study carried out over 6 months in a university hospital's acute geriatric unit highlighted the real walking capacities of hospitalised elderly people. It also changed the perception of caregivers, doctors and nurses with regard to the real physical aptitudes of these patients enabling the risk of falls to be reduced in preparation for their return home or to a residential care home.

Falls: the adverse drug reaction of the elderly and the impact of pharmacogenetics

Falls is a frequent type of adverse drug reactions causing significant morbidity and mortality in the elderly. We reviewed, with which drugs the risk of falls is relevant and might depend on genomic variation. Pharmacogenetic variability may contribute to drug-induced falls for instance mediated by impaired drug elimination due to inherited deficiency in enzymes like CYP2C9, CYP2C19 and CYP2D6. The relative role of specific genes and polymorphisms in old age may differ from younger people. Biomarkers for frailty, but also genomic biomarkers might help identifying patients at high risk for drug-induced falls. Many other factors including disease and drug-drug interactions also contribute to risk of falls. Further studies analyzing the impact of genomic variation on the medication-related fall risk in the older adult are urgently needed.

Association between use of short-acting benzodiazepines and migraine occurrence: a nationwide population-based case-control study

AIM

To evaluate the association between using benzodiazepines (BZDs) with short- or long-acting durations and migraine occurrence.

METHODS

The migraine group comprised 9616 subjects older than 20 years and newly diagnosed with migraine between 2005 and 2011, and the comparison group comprised 38,464 subjects without migraine. The BZDs used in the subjects were dichotomously defined as short-acting (half-life ≤24 h) and long-acting substances. A logistic regression model was used to calculate the odds ratio (OR) of migraine associated with BZD exposure and other diseases.

RESULTS

The adjusted OR of migraine associated with BZD exposure was 1.73 (95% confidence interval [CI] = 1.63-1.84). Either exposure to a short-acting BZD alone or using it combining with a long-acting BZD had significant higher risks of migraine (adjusted OR = 1.69, 95% CI = 1.59-1.80; adjusted OR = 2.06, 95% CI = 1.91-2.24, respectively), whereas only long-acting BZD use was not associated with an increase of migraine. Meanwhile, sleep disorders, anxiety, and stroke were strongly associated with migraine (adjusted OR = 2.00, 1.91, and 1.57, respectively).

CONCLUSIONS

We observed a significant increase of migraine occurrence in subjects using short-acting BZDs, either alone or in combination with long-acting ones.

Optimization of Clonazepam Therapy Adjusted to Patient's CYP3A Status and NAT2 Genotype

BACKGROUND

The shortcomings of clonazepam therapy include tolerance, withdrawal symptoms, and adverse effects such as drowsiness, dizziness, and confusion leading to increased risk of falls. Inter-individual variability in the incidence of adverse events in patients partly originates from the differences in clonazepam metabolism due to genetic and nongenetic factors.

METHODS

Since the prominent role in clonazepam nitro-reduction and acetylation of 7-amino-clonazepam is assigned to CYP3A and N-acetyl transferase 2 enzymes, respectively, the association between the patients' CYP3A status (CYP3A5 genotype, CYP3A4 expression) or N-acetyl transferase 2 acetylator phenotype and clonazepam metabolism (plasma concentrations of clonazepam and 7-amino-clonazepam) was evaluated in 98 psychiatric patients suffering from schizophrenia or bipolar disorders.

RESULTS

The patients' CYP3A4 expression was found to be the major determinant of clonazepam plasma concentrations normalized by the dose and bodyweight (1263.5±482.9 and 558.5±202.4ng/mL per mg/kg bodyweight in low and normal expressers, respectively, P<.0001). Consequently, the dose requirement for the therapeutic concentration of clonazepam was substantially lower in low-CYP3A4 expresser patients than in normal expressers (0.029±0.011 vs 0.058±0.024mg/kg bodyweight, P<.0001). Furthermore, significantly higher (about 2-fold) plasma concentration ratio of 7-amino-clonazepam and clonazepam was observed in the patients displaying normal CYP3A4 expression and slower N-acetylation than all the others.

CONCLUSION

Prospective assaying of CYP3A4 expression and N-acetyl transferase 2 acetylator phenotype can better identify the patients with higher risk of adverse reactions and can facilitate the improvement of personalized clonazepam therapy and withdrawal regimen.

Continuation and discontinuation of benzodiazepine prescriptions: A cohort study based on a large claims database in Japan

Although benzodiazepines (BZDs) are often prescribed to treat a wide range of psychiatric and neurological conditions, they are also associated with various harms and risks including dependence. However the frequency of its continued use in the real world has not been well studied, especially at longer follow-ups. The aim of this study was to clarify the frequency of long-term BZD use among new BZD users over longer follow-ups and to identify its predictors. We conducted a cohort study to examine how frequently new BZD users became chronic users, based on a large claims database in Japan from January 2005 to June 2014. We used Cox proportional hazards models to identify potential predictors. A total 84,412 patients with new BZD prescriptions were included in our cohort. Among them, 35.8% continued to use BZD for three months, 15.2% for one year and 4.9% for eight years without ever attaining three months of no BZD prescription. The confirmed predictors for long-term BZD use were older age, psychiatrist-prescriber, regular use, high dose of BZD, and concomitant prescription of psychotropic drugs. When we consider BZD use, we have to keep in mind these figures and avoid these predictors as much as possible.

Use of benzodiazepines and association with falls in older people admitted to hospital: a prospective cohort study

BACKGROUND

Hypnosedatives are commonly prescribed for anxiety and sleep problems. Changes in pharmacokinetics and pharmacodynamics of benzodiazepines (BZDs) during ageing may increase their potential to cause adverse outcomes.

OBJECTIVE

This study aimed to investigate the use of BZDs in acute care settings and explore their association with falls.

METHODS

A prospective cohort study was undertaken of patients aged over 70 years consecutively admitted to 11 acute care hospitals in Australia. Data were collected using the interRAI Acute Care assessment tool. Falls were recorded prospectively (in hospital) and retrospectively (in the 90 days prior to admission).

RESULTS

Of 1,412 patients, 146 (10.3 %) were taking BZDs at admission and 155 (11.3 %) at discharge. Incidence rates of in-hospital fallers for users and non-users of BZDs were not statistically different [incidence rate ratio 1.03, 95 % confidence interval (CI) 0.58-1.82]. There was also no significant association between benzodiazepine use at admission and history of falls in the previous 90 days compared with non-users. However, patients on diazepam were significantly more likely to have a history of falls than all other benzodiazepine users (70.8 vs. 36.1 %; p = 0.002), particularly when compared with oxazepam users (70.8 vs. 25.0 %; p < 0.001). Adjusting for confounders, use of diazepam at admission was positively associated with a history of falls compared with all other benzodiazepine users (odds ratio 3.0; 95 % CI 1.1-8.5; p = 0.036).

CONCLUSIONS

Different BZDs may vary in their propensity to predispose to falls, with diazepam having the strongest association. The selection of particular BZDs for older patients should be carefully evaluated.

Did the new French pay-for-performance system modify benzodiazepine prescribing practices?

Background

French general practitioners (GPs) were enrolled in a new payment system in January 2012. As part of a national agreement with the French National Ministry of Health, GPs were asked to decrease the proportion of patients who continued their benzodiazepine treatment 12 weeks after its initiation and to decrease the proportion of patients older than 65 who were prescribed long half-life benzodiazepines. In return, GPs could expect an extra payment of up to 490 euros per year. This study reports the evolution of the corresponding prescribing practices of French GPs during that period regarding patients who were prescribed a benzodiazepine for the first time.

Methods

The national healthcare system's administrative database was used to report the longitudinal follow-up of two historical cohorts of French patients from the Pays de la Loire area.

Study patients: The “2011” and “2012” cohorts included all patients who initiated benzodiazepine regimens from April 1 to June 30 in 2011 and 2012, respectively.

The primary outcomes were the proportion of those study patients who continued benzodiazepine treatment after 12 weeks and the proportion of study patients >65 years who were prescribed long half-life benzodiazepines.

Analyses were performed using a multi-level regression.

Results

In total, 41,436 and 42,042 patients initiated benzodiazepine treatment in 2011 and 2012, respectively. A total of 18.97% of patients continued treatment for more than 12 weeks in 2012, compared with 18.18% in 2011. In all, 27.43% and 28.06% of patients >65 years continued treatment beyond 12 weeks in 2011 and 2012, respectively. The proportion of patients >65 years who were prescribed long half-life benzodiazepines decreased from 53.5% to 48.8% (p < 0.005) due to an increase in short half-life benzodiazepine prescriptions. Patients >65 years who were prescribed short half-life benzodiazepines were more likely to continue treatment after 12 weeks (p < 0.005).

Conclusions

Despite the pay-for-performance strategy, the number of short half-life benzodiazepine prescriptions increased between 2011 and 2012, and the number of long half-life benzodiazepine initiations remained unchanged. Reducing the proportion of long half-life benzodiazepine prescriptions might be counterproductive because prescribing short half-life benzodiazepines was associated with higher rates of continuation beyond the recommended duration.

Effects of drug pharmacokinetic/pharmacodynamic properties, characteristics of medication use, and relevant pharmacological interventions on fall risk in elderly patients

BACKGROUND

Falls among the elderly are an issue internationally and a public health problem that brings substantial economic and quality-of-life burdens to individuals and society. Falls prevention is an important measure of nursing quality and patient safety. Numerous studies have evaluated the association of medication use with fall risk in elderly patients. However, an up-to-date review has not been available to summarize the multifaceted pharmaceutical concerns in the prevention of medication-related falls.

MATERIALS AND METHODS

Relevant literature was identified by performing searches in PubMed, Web of Science, and the Cochrane Library, covering the period until February 2014. We included studies that described an association between medications and falls, and effects of drug pharmacokinetic/pharmacodynamic properties, characteristics of medication use, and pharmacological interventions on fall risk in elderly patients. The full text of each included article was critically reviewed, and data interpretation was performed.

RESULTS

Fall-risk-increasing drugs (FRIDs) include central nervous system-acting agents, cough preparations, nonsteroidal anti-inflammatory drugs, anti-Alzheimer's agents, antiplatelet agents, calcium antagonists, diuretics, α-blockers, digoxin, hypoglycemic drugs, neurotoxic chemotherapeutic agents, nasal preparations, and antiglaucoma ophthalmic preparations. The degree of medication-related fall risk was dependent on one or some of the following factors: drug pharmacokinetic/pharmacodynamic properties (eg, elimination half-life, metabolic pathway, genetic polymorphism, risk rating of medications despite belonging to the same therapeutic class) and/or characteristics of medication use (eg, number of medications and drug-drug interactions, dose strength, duration of medication use and time since stopping, medication change, prescribing appropriateness, and medication adherence). Pharmacological interventions, including withdrawal of FRIDs, pharmacist-conducted clinical medication review, and computerized drug alerts, were effective in reducing fall risk.

CONCLUSION

Based on the literature review, clear practical recommendations for clinicians to prevent falls in the elderly included making a list of FRIDs, establishing a computerized alert system for when to e-prescribe FRIDs, seeking an alternative drug with lower fall risk, withdrawing FRIDs if clinically indicated, taking pertinent cautions when the use of FRIDs cannot be avoidable, paying attention to prescribing appropriateness, simplifying the medication regimen, strengthening pharmacist-conducted clinical medication review, ensuring the label of each FRID dispensed contains a corresponding warning sign, being careful when medication change occurs, enhancing medication adherence, and mandating for periodic reassessment of potential risk associated with the patient's medication regimen. Further studies should be conducted in this area, such as investigating whether medication reconciliation and improving medication adherence could decrease the rate of falls.

Evaluation of trazodone and quetiapine for insomnia: an observational study in psychiatric inpatients

BACKGROUND

Insomnia is symptomatic of most psychiatric disorders. Non-habit-forming agents such as trazodone and quetiapine are commonly used off-label to treat patients with insomnia. The safety and efficacy of trazodone and quetiapine as medications for treatment of insomnia have never been directly contrasted. The objective of this study was to compare the effectiveness of trazodone to quetiapine among inpatient psychiatric patients by measuring the traditional sleep parameters of total sleep time, number of nighttime awakenings, sleep efficiency, sleep latency, length of hospitalization, and patient-reported side effects.

METHOD

Participants were recruited from St Helena Hospital Center for Behavioral Health, Vallejo, California. Patient inclusion criteria were age 18 to 65 years, admitted between September 2011 and February 2012, and a physician order for trazodone or quetiapine for insomnia. Exclusion criteria included primary insomnia, pregnancy, concomitant order of trazodone and quetiapine, receiving trazodone or quetiapine up to 2 weeks prior to the study, and inability to coherently communicate. Subjective patient interviews and objective nursing sleep log reviews composed the data set.

RESULTS

On average, mean total sleep time hours were longer among patients receiving trazodone versus those receiving quetiapine according to patients' subjective reports (7.80 vs 6.75, respectively, P < .01) and the nursing sleep logs (9.13 vs 8.68, respectively, P = .04). Patients receiving trazodone experienced fewer mean nighttime awakenings versus those receiving quetiapine (0.52 vs 0.75, respectively, P = .04) according to the nursing sleep log report. Patients receiving trazodone reported more side effects of constipation, nausea, and diarrhea than patients receiving quetiapine.

CONCLUSIONS

With respect to total sleep time and nighttime awakenings, trazodone was a more effective alternative than quetiapine. However, patients receiving trazodone experienced more gastrointestinal patient-reported side effects.

Risk factors for falling in psychiatric inpatients: a prospective, matched case-control study

Falling is one the most common types of inpatient adverse events. Most fall-related research was conducted retrospectively and focused on elderly population in general hospital settings. This study aimed to timely identify all potential risk factors associated with falls and fall-related injury in a psychiatric inpatient setting. We recruited 145 fall events and 145 sex- and room-matched psychiatric control inpatients without fall in a 1002-bed psychiatric teaching hospital in northern Taiwan. In addition to medical records, the study variables included patient characteristics, circumstances and medications, which were collected from the patients and/or their families within 24 h of receiving reports right after obtaining written informed consent. A psychiatrist and three head nurses conducted a comprehensive assessment of risk factors immediately after falls occurred. A conditional logistic regression model revealed four variables significantly associated with an increased risk of falling: the clinical global impression-severity (adjusted odds ratio (aOR) = 2.19; 95% confidence interval, CI = 1.13-4.24), the parkinsonism scores of the extrapyramidal syndrome rating scale (aOR = 1.14; 95% CI = 1.08-1.21), equivalent dosage of benzodiazepines use (aOR = 1.15; 95% CI = 1.03-1.30), and medication changes within 24 h (aOR = 10.3; 95% CI = 1.37-76.8). Acute settings (aORs = 2.06, 95% CI = 1.01-4.18), a fall history in the past six months and a lack of history of medical problems (aORs = 3.04; 95% CI = 1.46-6.33) were associated with fall-related injury (aOR = 2.70; 95% CI = 1.29-5.69). Our study identified the severity of psychotic symptoms, extrapyramidal symptoms, medications usage and other several specific measures for prevention of falls in psychiatric inpatient settings.

Potentially inappropriate prescribing of benzodiazepines for older adults and risk of falls during a hospital stay: a descriptive study

BACKGROUND

Falls have been identified as a potential adverse event associated with the administration of psychotropic medications to older patients.

OBJECTIVE

The objective of this exploratory study was to examine the association between potentially inappropriate prescribing of benzodiazepines, as defined by the Beers criteria, by older adults (at least 65 years of age) and the risk of having a fall during acute inpatient care.

METHODS

This 1-year retrospective cross-sectional study of discharges from a tertiary care hospital in Halifax, Nova Scotia, used pharmacy data to identify the prescription of benzodiazepines listed in the updated Beers criteria as being associated with an increased risk of falls. These data were linked with information on in-hospital falls from occurrence report forms.

RESULTS

For 5831 (58.1%) of the 10 044 discharges, the patient had received a prescription for at least one benzodiazepine during the hospital stay. A total of 574 falls were reported (for 374 patients), and 226 (39.4%) of the falls resulted in an injury. According to the Beers criteria, for 936 (9.3%) of the discharges, the patient had received a prescription for at least one potentially inappropriate benzodiazepine. However, there was no statistically significant difference between patients with a prescription for a potentially inappropriate benzodiazepine and those receiving an appropriate or no benzodiazepine in terms of occurrence of falls (4.5% versus 3.8%, p = 0.30) or fall-related injuries (2.6% versus 1.8%, p = 0.08). The median length of stay was about 3 days longer for the former group (9 versus 6 days, p < 0.001).

CONCLUSIONS

The findings from the current study do not support use of the Beers criteria related to benzodiazepines alone for identifying patients at risk of falls or injuries.

Polypharmacy and the role of physical medicine and rehabilitation

Polypharmacy and inappropriate prescribing practices lead to higher rates of mortality and morbidity, particularly in vulnerable populations, such as the elderly and those with complex medical conditions. Physical medicine and physiatrists face particular challenges given the array of symptoms treated across a spectrum of conditions. This clinical review focuses on polypharmacy and the associated issue of potentially inappropriate prescribing. The article begins with a review of polypharmacy along with relevant aspects of pharmacokinetics and pharmacodynamics in the elderly. The adverse effects and potential hazards of selected medications commonly initiated and managed by rehabilitation specialists are then discussed with specific attention to pain medications, neurostimulants, antipsychotics, antidepressants, antispasmodics, sleep medications, and antiepileptics. Of particular concern is the notion that an adverse effect of one medication can mimic an indication for another and lead to a prescribing cascade and further adverse medication events. Appropriate prescribing practices mandate an accurate, current medication list, yet errors and inaccuracies often plague such lists. The evidence to support explicit (medications to avoid) and implicit (how to evaluate) criteria is presented along with the role of physicians and patients in prescribing medications. A brief discussion of "medication debridement" or de-prescribing strategies follows. In the last section, we draw on the essence of physiatry as a team-based endeavor to discuss the potential benefits of collaboration. In working to optimize medication prescribing, efforts should be made to collaborate not only with pharmacists and other medical specialties but with members of inpatient rehabilitation teams as well.

Psychotropic drug-induced falls in older people: a review of interventions aimed at reducing the problem

Falls are a common health problem for older people, and psychotropic medications have been identified as an important independent fall risk factor. The objective of this paper was to review the literature relating to the effect of psychotropic medications on falls in older people, with a particular focus on evidence supporting minimization of their use to reduce risk of falls. A literature search identified 18 randomized trials meeting the inclusion criteria for the review of effectiveness of psychotropic medication withdrawal studies, including four with falls outcomes. One of these, which targeted reduced psychotropic medication use in the community, reported a 66% reduction in falls, while the other studies demonstrated some success in reducing psychotropic medication use but with mixed effects on falls. Other randomized trials evaluated various approaches to reducing psychotropic medications generally or specific classes of psychotropic medications (e.g. benzodiazepines), but did not report fall-related outcomes. Overall, these studies reported moderate success in reducing psychotropic medication use, and a number reported no or limited worsening of key outcomes such as sleep quality or behavioural difficulties associated with withdrawal of psychotropic medication use. Reduced prescription of psychotropic medications (e.g. seeking non-pharmacological alternatives to their use in place of prescription in the first place or, for those patients for whom these medications are deemed necessary, regular monitoring and efforts to cease use or wean off use over time) needs to be a strong focus in clinical practice for three reasons. Firstly, psychotropic medications are commonly prescribed for older people, both in the community and especially in the residential care setting, and their effectiveness in a number of clinical groups has been questioned. Secondly, there is strong evidence of an association between substantially increased risk of falls and use of a number of psychotropic medications, including benzodiazepines (particularly, the long-acting agents), antidepressants and antipsychotic drugs. Finally, the largest effect of any randomized trial of falls prevention to date was achieved with a single intervention consisting of weaning psychotropic drug users off their medications.

Assessing the cumulative effects of exposure to selected benzodiazepines on the risk of fall-related injuries in the elderly

BACKGROUND

The use of benzodiazepines is associated with increased risk of fall-related injuries in the elderly. However, it is unclear if the risks vary across the products and how they depend on the pattern of use and dosage. Specifically, the possibility of cumulative effects of past benzodiazepine use has not been thoroughly investigated.

METHODS

We used the administrative database for a cohort of 23,765 new users of benzodiazepines, aged 65 years and older, in Quebec, Canada, between 1990 and 1994. The associations between the use of seven benzodiazepines and the risk of fall-related injuries were assessed using several statistical models, including a novel weighted cumulative exposure model. That model assigns to each dose taken in the past a weight that represents the importance of that dose in explaining the current risk of fall.

RESULTS

For flurazepam, the best-fitting model indicated a cumulative effect of doses taken in the last two weeks. Uninterrupted use of flurazepam in the past months was associated with a highly significant increase in the risk of fall-related injuries (HR = 2.83, 95% CI: 1.45-4.34). The cumulative effect of a 30-day exposure to alprazolam was 1.27 (1.13-1.42). For temazepam, the results suggested a potential withdrawal effect.

CONCLUSIONS

Mechanisms affecting the risk of falls differ across benzodiazepines, and may include cumulative effects of use in the previous few weeks. Thus, benzodiazepine-specific analyses that account for individual patterns of use should be preferred over simpler analyses that group different benzodiazepines together and limit exposure to current use or current dose.

[What is the real incidence of falls in hospitals?]

AIMS

To determine the incidence of falls at acute hospital level and to compare this incidence with that found in the observational study with the notified falls.

METHOD

We used a prospective observational study to register patient falls, with daily follow-up in the medical-surgical hospital units, and reviewed the notification of falls records. The patient monitoring was conducted between December 2008 and March 2009 at Fuenlabrada University Hospital. The accumulated incidence of falls was calculated, the association between qualitative variables, and the validity of the notification of falls record with regards to the reference pattern, the observational study.

RESULTS

A follow-up has been completed 1,001 patients, finding an accumulated incidence of 1.6% of the followed-up patients, compared to a notified incidence of 0.9%. No statistically significant differences were found (P=.167. The notification of falls record had a Kappa index of 0.24, with a sensitivity of 18.75% and a specificity of 99.39%, compared to the reference, the observational study.

CONCLUSION

The incidence of falls practically doubles when using data from observational studies as opposed to those from notification systems.

Fatores associados ao uso de benzodiazepínicos no serviço municipal de saúde da cidade de Coronel Fabriciano, Minas Gerais, Brasil

O uso inadequado de benzodiazepínicos é observado em diversos países. Este estudo transversal avaliou os fatores associados à prescrição de benzodiazepínicos para os usuários do Serviço Municipal de Saúde de Coronel Fabriciano, Minas Gerais, Brasil. A coleta de dados foi feita a partir da notificação das receitas (n = 1.866), entre setembro e outubro de 2006. Análises bivariada e multivariada, utilizando regressão de Poisson, foram executadas. O uso prolongado de benzodiazepínicos foi associado independentemente com o tipo de benzodiazepínico prescrito e cadastro em programas de saúde. O uso concomitante de outros psicofármacos foi associado independentemente com a idade e cadastro nos programas de saúde. O tipo de benzodiazepínico utilizado (Diazepam ou Clonazepam) esteve independentemente associado com a idade e sexo dos pacientes, bem como, com a participação em programas de saúde. Os fatores associados à prescrição de benzodiazepínicos evidenciam a amplitude do problema e devem ser considerados no planejamento de intervenções para a racionalização da utilização desses medicamentos no município, particularmente na organização dos programas de saúde.

Medication use as a risk factor for inpatient falls in an acute care hospital: a case-crossover study

AIMS

The present study aimed to evaluate the associations between medication use and falls and to identify high risk medications that acted as a trigger for the onset of falls in an acute care hospital setting.

METHODS

We applied a case-crossover design wherein cases served as their own controls and comparisons were made within each participant. The 3-day period (days 0 to -2) and the 3-day periods (days -6 to -8, days -9 to -11 and days -12 to -14) before the fall event were defined as the case period and the control periods, respectively. Exposures to medications were compared between the case and control periods. Odds ratios (OR) and 95% confidence intervals (CI) for the onset of falls with respect to medication use were computed using conditional logistic regression analyses.

RESULTS

A total of 349 inpatients who fell during their hospitalization were recorded on incident report forms between March 2003 and August 2005. The initial use of antihypertensive, antiparkinsonian, anti-anxiety and hypnotic agents as medication classes was significantly associated with an increased risk of falls, and these ORs (95% CI) were 8.42 (3.12, 22.72), 4.18 (1.75, 10.02), 3.25 (1.62, 6.50) and 2.44 (1.32, 4.51), respectively. The initial use of candesartan, etizolam, biperiden and zopiclone was also identified as a potential risk factor for falls.

CONCLUSIONS

Medical professionals should be aware of the possibility that starting a new medication such as an antihypertensive agent, including candesartan, and antiparkinsonian, anti-anxiety and hypnotic agents, may act as a trigger for the onset of a fall.

Psychotropic Drugs and Falls in the Elderly People: Updated Literature Review and Meta-Analysis

Objective: To carry out meta-analyses on psychotropic drugs and to provide an update of the risk of falling in the elderly people related to psychotropic drugs. Design: Meta-analyses of studies on psychotropic drugs. Results: 177 studies are included, of which 71 have data on risk factors associated with psychotropic drugs. The odds ratio and 95% Cl for associations between use of psychotropic drugs and fall are 1.78 and 1.57-2.01, respectively. This result is statistically heterogeneous. This heterogeneity disappears in the group of very old participants for each class. Conclusion: Our study confirms the association between falls in the elderly people and psychotropic drugs. These results are similar to those of former meta-analyses but with different methods. It shows that these meta-analyses on psychotropic drugs have a small impact on prescribing habits. They only give evidence to support the association between psychotropic drugs and falls even if there is no proven link.

Impact of drug interactions, dosage, and duration of therapy on the risk of hip fracture associated with benzodiazepine use in older adults

PURPOSE

To determine how concomitant use of potentially interacting drugs, drug dosage, and duration of therapy modify the risk of hip fracture associated with use of benzodiazepines and benzodiazepine-related drugs (BDZ) in older adults.

METHODS

A nested case-control study was conducted in Medicare patients 65 years or older, enrolled in the Pennsylvania drug assistance program (PACE) between 1994 and 2005. We included 17,198 patients with a hip fracture leading to hospitalization and 85,990 controls matched on hospitalization (index date). BDZ and interacting drug use within 2 weeks preceding the index date was determined using information on date of drug dispensing, days supplied, quantity dispensed, and strength. Date of the first BDZ prescription within the year preceding the index date was used as surrogate for duration of therapy.

RESULTS

While the adjusted relative risk (RR) for overall BDZ use and hip fracture was 1.2 (95% confidence interval 1.1, 1.2), the RRs for concomitant use of alprazolam, lorazepam, and zolpidem and their interacting drugs were 1.5 (1.3, 1.7), 1.9 (1.7, 2.2), and 1.7 (1.4, 2.0), and 2.1 (1.5, 2.8) for BDZ use initiated within 14 days preceding the index date. RR increased with increasing BDZ dose and was highest for defined daily BDZ doses >1 [RR: 1.3 (1.2, 1.5)].

CONCLUSIONS

BDZ associated hip fracture risk increases with concomitant use of interacting drugs, higher doses, and is highest at initiation. Clinicians should avoid concomitant use of BDZ and interacting drugs, because their impact on hip fracture risk is at least additive.

Medication and falls: risk and optimization

The association between drugs and falls has been widely studied in the past 3 decades, with increasingly robust evidence of a causal link. Both specific classes of drugs and the total number of drugs taken are associated with falls. This review examines some of the reasons why older people are at greater risk of drug-related adverse events such as falls. We discuss the role of drugs in general and polypharmacy (the concurrent use of multiple drugs) on the risk of falling, with a focus on community-dwelling older people. We critically appraise the evidence that specific classes of drugs, such as benzodiazepines and antidepressants, increase the risk of falling and that falls can be prevented through interventions that target medications.