Drug cessation in complex older adults: time for action.

BACKGROUND: general opinion is growing that drug cessation in complex older patients is warranted in certain situations. From a clinical viewpoint, drug cessation seems most warranted in four situations, i.e., falls, delirium, cognitive impairment and end-of-life situations. To date, little information about the effects of drug cessation in these four situations is available. OBJECTIVES: to identify the effects and effectiveness of drug cessation on falls, delirium and cognitive impairment. For end-of-life situations, we reviewed cessation of inappropriate drug use. METHODS: electronic databases were searched using MeSH terms and relevant keywords. Studies published in English were included if they evaluated the effects of drug cessation in older persons, aged ≥65 years, with falls, delirium or cognitive impairment; or cessation of inappropriate drug use in end-of-life situations. RESULTS: we selected seven articles for falls, none for delirium, two for cognition and two for end-of-life situations. Withdrawal of psychotropics reduced fall rate; a prescribing modification programme for primary care physicians reduced fall risk. Withdrawal of psychotropics and a systematic reduction of polypharmacy resulted in an improvement of cognition. Very little rigorous research has been conducted on reducing inappropriate medications in patients approaching end of life. CONCLUSION: little research has focussed on drug cessation. Available studies showed a beneficial impact of cessation of psychotropic drugs on falls and cognitive status. More research in this field is needed. The issue of systematic drug withdrawal in end-of-life cases is controversial, but is increasingly relevant in the face of rising numbers of older people of this clinical status.

Dose-response relationship between selective serotonin re-uptake inhibitors and injurious falls: a study in nursing home residents with dementia.

AIM: The contribution of selective serotonin re-uptake inhibitors (SSRIs) to injurious fall risk in patients with dementia has not been quantified precisely until now. Our objective was to determine whether a dose-response relationship exists for the use of SSRIs and injurious falls in a population of nursing home residents with dementia. METHODS: Daily drug use and daily falls were recorded in 248 nursing home residents with dementia from 1 January 2006 until 1 January 2008. For each resident and for each day of the study period, data on drug use were abstracted from the prescription database, and information on falls and subsequent injuries was retrieved from a standardized incident report system, resulting in a dataset of 85,074 person-days. RESULTS: We found a significant dose-response relationship between injurious falls and the use of SSRIs. The risk of an injurious fall increased significantly with 31% at 0.25 of the Defined Daily Dose (DDD) of a SSRI, 73% at 0.50 DDD, and 198% at 1.00 DDD (Hazard ratio = 2.98; 95% confidence interval 1.94, 4.57). The risk increased further in combination with a hypnotic or sedative. CONCLUSIONS: Even at low doses, SSRIs are associated with increased risk of an injurious fall in nursing home residents with dementia. Higher doses increase the risk further with a three-fold risk at 1.00 DDD. New treatment protocols might be needed that take into account the dose-response relationship between SSRIs and injurious falls.

Is the Tinetti Performance Oriented Mobility Assessment (POMA) a feasible and valid predictor of short-term fall risk in nursing home residents with dementia?

BACKGROUND: The feasibility and predictive validity of balance and gait measures in more severe stages of dementia have been understudied. We evaluated the clinimetric properties of the Tinetti Performance Oriented Mobility Assessment (POMA) in nursing home residents with dementia with a specific objective of predicting falls in the short term. METHODS: Seventy-five ambulatory nursing home residents with dementia, mean age 81 +/- 8 years, participated in a prospective cohort study. All participants underwent the full POMA-test. Fall statistics were retrieved from incident reports during a three-months follow-up period. The predictive validity was expressed in terms of sensitivity and specificity. Loglinear regression analysis was used to examine the relationship between POMA scores and the occurrence of a fall. RESULTS: The POMA showed several feasibility problems, with 41% of patients having problems in understanding one or more instructions. The inter-rater reliability of the instrument was good. The predictive validity was acceptable, with a sensitivity of 70-85% and a specificity of 51-61% for the POMA and its subtests, and an area under the curve (AUC) of 0.70 for POMA-Total (95% CI: 0.53-0.81), 0.67 for POMA-Balance (95% CI: 0.52-0.81), and 0.67 for POMA-Gait (95% CI: 0.53-0.81). After loglinear regression analysis, only POMA-T was significant in predicting a fall (adjusted HR = 1.08 per point lower; 95% CI 1.00-1.17). CONCLUSIONS: Application of the POMA in populations with moderate to severe dementia is hampered by feasibility problems. Its implementation in clinical practice cannot therefore be recommended, despite an acceptable predictive validity. To refine our findings, large prospective studies on the predictive validity of the POMA in populations with mild, moderate and severe dementia are needed. In addition, the performance of mobility assessment methods that are less dependent on cognition should be evaluated.

An electronic walkway can predict short-term fall risk in nursing home residents with dementia.

OBJECTIVES: To evaluate the feasibility and validity of gait parameters measured with an electronic walkway system in predicting short-term fall risk in nursing home residents with dementia. METHODS: 57 ambulatory nursing home residents with moderate to severe dementia participated in this prospective cohort study. We used the GAITRite(®) 732 walkway system to assess gait parameters. Measurements were collected every 3 months over a 15 month period, with each measurement being a baseline for the subsequent measurement. Falls were retrieved from incident reports. The predictive validity of the GAITRite(®) parameters was expressed in terms of sensitivity and specificity. Logistic regression analysis was conducted to examine the association between these parameters and falls occurrence within three months. RESULTS: Reduced velocity (OR=1.22; 95% CI 1.04-1.43) and reduced mean stride length (OR=1.19; 95% CI 1.03-1.40) were the best significant gait predictors of a fall within three months, with a sensitivity of 82% for velocity and 86% for mean stride length, and a specificity of 52% for velocity and for mean stride length. The test procedure took an average of 5 min per participant. Some verbal persuasion or physical cueing was necessary in 142 measurements (80.7%). CONCLUSION: Gait parameters as measured with an electronic walkway system can be used for the prediction of short-term fall risk in nursing home residents with moderate to severe dementia. However some form of persuasion might be needed to perform the task. To refine our findings, large prospective studies on the predictive validity of gait parameters in this type of population are needed.

New insights: dose-response relationship between psychotropic drugs and falls: a study in nursing home residents with dementia.

The contribution of specific psychotropic drugs to fall risk in patients with dementia has not been quantified precisely until now. The authors evaluated the dose-response relationship between psychotropic drugs and falls in nursing home residents with dementia. Daily drug use and daily falls were recorded in 248 nursing home residents with dementia from January 1, 2006, to January 1, 2008. For each day of the study period, data on drug use were abstracted from the prescription database, and falls were retrieved from a standardized incident report system, resulting in a data set of 85 074 person-days. The authors found significant dose-response relationships for the use of antipsychotics (hazard ratio [HR], 2.78; 95% confidence interval [CI], 1.49-5.17), anxiolytics (1.60; 1.20-2.14), hypnotics and sedatives (2.58; 1.42-4.68), and antidepressants (2.84; 1.93-4.16). Fall risk increased significantly with 28% at 0.25 of the defined daily dose (DDD) of an antipsychotic or antidepressant, with 8% at 0.2 of the DDD of an anxiolytic, and with 56% at 0.5 of the DDD of a hypnotic or sedative; it increased further with dose increments and with combinations of psychotropics. Even at low dosages, psychotropic drugs are associated with increased fall risk in nursing home residents with dementia.

The influence of drug use on fall incidents among nursing home residents: a systematic review.

BACKGROUND: Falls are a major health problem among the elderly, particularly in nursing homes. Abnormalities of balance and gait, psychoactive drug use, and dementia have been shown to contribute to fall risk. METHODS: We conducted a systematic review of the literature to investigate which psychoactive drugs increase fall risk and what is known about the influence of these drugs on gait in nursing home residents with dementia. We included studies with a prospective cohort design on psychoactive drug use in nursing homes with dementia residents and with falls as an outcome measure. RESULTS: Seventeen studies were included in the review. Pooled risk estimates were not calculated because there was no homogeneity across studies. We assessed the strength of evidence for psychoactive drugs as a prognostic factor for falls by defining four levels of evidence: strong, moderate, limited or inconclusive. Strong evidence was defined as consistent findings (> or =80%) in at least two high quality cohorts. We found strong evidence that the use of multiple drugs (3/3 cohorts, effect sizes 1.30-1 xs 0.30), antidepressants (10/12 cohorts, effect sizes 1.10-7.60), and anti-anxiety drugs (2/2 cohorts, effect sizes 1.22-1.32) is associated with increased fall risk. The evidence for the association of other psychoactive drug classes with fall risk was limited or inconclusive. CONCLUSIONS: Research on the contribution of psychoactive drugs to fall risk in nursing home residents with dementia is limited. The scarce evidence shows, however, that multiple drugs, antidepressants and anti-anxiety drugs increase fall risk in nursing home populations with residents with dementia.