Factors associated with use of falls risk-increasing drugs among patients of a geriatric oncology outpatient clinic in Australia: a cross-sectional study.

Older people with cancer are at increased risk of falling. Falls risk-increasing drugs (FRIDs), comprising psychotropics and medications that cause orthostatic hypotension, are a potentially modifiable risk factor for falls. The objective of this study was to determine the prevalence and factors associated with use of FRIDs in older people with cancer. Patients aged ≥70 years who presented to a hospital outpatient clinic between January 2009 and July 2010 were included in the study. Information on current medication use, falls in previous 6 months, and frailty criteria was collected. Multinomial logistic regression was used to compute odds ratios (OR) and 95% confidence intervals (CIs) for factors associated with levels of FRID use. Overall, 76.1% (n = 293) of 383 patients used FRIDs. This comprised psychotropics (31.2%, n = 120) and medications causing orthostatic hypotension (69.9%, n = 269). In total, 24.0% (n = 92) patients reported falling in the previous 6 months. Risk factors for falling were associated with use of psychotropics but not orthostatic hypotension drugs. Patients with a history of falls had increased odds of using psychotropics (≥3 psychotropics; OR 13.50; 95%CI, 2.64-68.94). Likewise, frail patients had increased odds of using psychotropics (≥3 psychotropics; OR 27.78; 95%CI, 6.06-127.42). Risk factors for falling were associated with the use of psychotropics. This suggests that clinicians either do not recognize or underestimate the contribution of medications to falls in this high-risk patient group. Further efforts are needed to rationalize medication regimens at the time of patients' first presentation to outpatient oncology services.

Polypharmacy cut-points in older people with cancer: how many medications are too many?

PURPOSE: Polypharmacy is often defined as use of 'five-or-more-medications'. However, the optimal polypharmacy cut-point for predicting clinically important adverse events in older people with cancer is unclear. The aim was to determine the sensitivities and specificities of a range of polypharmacy cut-points in relation to a variety of adverse events in older people with cancer. METHODS: Data on medication use, falls and frailty criteria were collected from 385 patients aged ≥70 years presenting to a medical oncology outpatient clinic. Receiver operating characteristic (ROC) curves were produced to examine sensitivities and specificities for varying definitions of polypharmacy in relation to exhaustion, falls, physical function, Karnofsky Performance Scale (KPS) and frailty. Sub-analyses were performed when stratifying by age, sex, comorbidity status and analgesic use. RESULTS: Patients had a mean age of 76.7 years. Using Youden's index, the optimal polypharmacy cut-point was 6.5 medications for predicting frailty (specificity 67.0 %, sensitivity 70.0 %), physical function (80.2 %, 49.3 %) and KPS (69.8 %, 52.1 %), 5.5 for falls (59.2 %, 73.0 %) and 3.5 for exhaustion (43.4 %, 74.5 %). For polypharmacy defined as five-or-more-medications, the specificities and sensitivities were frailty (44.9 %, 77.5 %), physical function (58.0 %, 69.7 %), KPS (47.7 %, 69.4 %), falls (44.5 %, 75.7 %) and exhaustion (52.6 %, 64.1 %). The optimal polypharmacy cut-points were similar when the sample was stratified by age, sex, comorbidity status and analgesic use. CONCLUSIONS: Our results suggest that no single polypharmacy cut-point is optimal for predicting multiple adverse events in older people with cancer. In this population, the common definition of five-or-more-medications is reasonable for identifying 'at-risk' patients for medication review.

Analgesic Use and Pain in Robust, Pre-Frail and Frail Older Outpatients with Cancer.

BACKGROUND: Pain management can be challenging in frail older people with cancer due to drug-drug interactions and heightened susceptibility to adverse drug events. OBJECTIVE: To investigate the relationship between analgesic use and pain by frailty status in older outpatients with cancer. METHODS: A total of 385 consecutive patients aged 70 years and over who presented to an outpatient oncology clinic between January 2009 and July 2010 completed structured assessments of analgesic use (opioids, paracetamol or non-steroidal anti-inflammatory drugs), pain (10-point visual analogue scale) and clinical factors. Frailty was derived using modified Fried's frailty phenotype. Logistic regression was used to compute adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) for the relationship between analgesic use and pain for each frailty group (robust, pre-frail or frail). RESULTS: For robust outpatients (n = 101), there was weak evidence for a 30 % relative increase in the adjusted odds of analgesic use between outpatients who differed by one unit of pain score (95 % CI 0.995-1.71, p = 0.0532). For pre-frail outpatients (n = 190), there was evidence for a negative quadratic relationship (adjusted OR for the quadratic coefficient: 0.952, 95 % CI 0.910-0.993, p = 0.0244). For frail outpatients (n = 94), there was an 8 % relative increase in the adjusted odds of analgesic use between outpatients who differed by one unit of pain score, but no statistical evidence for association (95 % CI 0.934-1.26; p = 0.298). CONCLUSIONS: These findings can be considered for the ongoing development of safe, effective strategies for analgesic use in older outpatients with cancer.

Statin use and pain in older people with cancer: a cross-sectional study.

OBJECTIVES: To investigate statin use and pain in people with cancer aged 70 to 79 and 80 and older. DESIGN: Cross-sectional. SETTING: Medical oncology outpatient clinic at the Royal Adelaide Hospital. PARTICIPANTS: Individuals aged 70 and older who presented consecutively between January 2009 and June 2010 (n = 385), of whom 106 were aged 80 and older. MEASUREMENTS: Participants completed a structured data collection instrument, documenting medication use, comorbidities and a general pain assessment (10-point visual analogue scale (VAS)). Unadjusted and adjusted logistic regression was used to compute odds ratios (ORs) and 95% confidence intervals (CIs) for factors associated with statin use. RESULTS: The prevalence of statin use was 35% (n = 97) in people aged 70 to 79 and 39% (n = 41) in those aged 80 and older. After adjusting for age, sex, Charlson Comorbidity Index, and analgesic use, statin use was associated with self-reported pain (VAS ≥ 5) (OR = 4.09, 95% CI = 1.32-12.68) in people aged 80 and older but not in those aged 70 to 79. Half of participants using statins (51% n = 70) had a palliative treatment approach. Of the 41 statin users aged 80 and older, 20 (49%) were using statins for primary prevention. CONCLUSION: The prevalence of statin use was similar in people aged 70 to 79 years and those aged 80 and older, with statin use associated with self-reported pain in people aged 80 and older. This highlights a potential benefit of "deprescribing" statins in older people with cancer, especially those aged 80 and older.

Potentially inappropriate medication use in older people with cancer: prevalence and correlates.

OBJECTIVES: Potentially inappropriate medication (PIM) use has been associated with an increase in adverse drug events, hospitalization and mortality. This study investigated the prevalence and factors associated with PIM use in patients presenting to a medical oncology outpatient clinic. MATERIALS AND METHODS: Consecutive patients (n=385) aged ≥ 70 years referred to a medical oncology outpatient clinic between January 2009 and July 2010 completed a structured data collection instrument. The instrument assessed medication use, diagnoses, self-reported falls in the previous six months, pain (10-point visual analog scale [VAS]) and distress (10-point VAS). Frailty was defined using exhaustion, weight loss, Karnofsky Performance Scale, instrumental activities of daily living and physical function. PIM use was defined by the Beers Criteria. Logistic regression was used to compute odds ratios (ORs) and 95% confidence intervals (CIs) for factors associated with PIM use. RESULTS: In total, 26.5% (n=102) of the sample used ≥1 PIM. The five most prevalent classes of PIMs were benzodiazepines (n=34, 8.8%), tricyclic antidepressants (n=16, 4.2%), alpha-adrenoreceptor antagonists (prazosin) (n=15, 3.9%), propulsives (metoclopramide) (n=15, 3.9%) and non-steroidal anti-inflammatory drugs (n=14, 3.6%). In multivariate analyses, PIM use was associated with age 75-79 years (OR 1.83; 95%CI 1.02-3.26) compared to age 70-74 years, using ≥ 5 medications (OR 4.10; 95%CI 2.26-7.44) compared to <5 medications and being frail (OR 3.05; 95%CI 1.18-7.87) compared to being robust. CONCLUSION: More than one quarter of older people with cancer used one or more PIMs, and this was associated with being frail compared to being robust.

Prevalence and factors associated with polypharmacy in older people with cancer.

PURPOSE: Polypharmacy has been associated with drug-drug interactions, adverse drug events, hospitalisation and increased mortality. The purpose of this study was to investigate the prevalence and factors associated with polypharmacy in older people with cancer. PATIENTS AND METHODS: Patients aged≥70 years (n=385) presenting to the medical oncology outpatient clinic at Royal Adelaide Hospital between January 2009 and July 2010 completed a structured data collection instrument. The instrument included domains related to medications, diagnoses, instrumental activities of daily living (IADLs), Karnofsky Performance Scale (KPS), physical function (SF-36), pain (ten-point visual analogue scale, VAS), weight loss (patient self-reported over previous 6 months), exhaustion (CES-D) and distress (ten-point VAS). Frailty was computed using Fried's frailty phenotype. Logistic regression was used to compute unadjusted and adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for the association between polypharmacy (defined as five or more self-reported daily medications) and clinical parameters. RESULTS: Polypharmacy was present in 57% (n=221) of patients. When adjusting for age, gender and Charlson Comorbidity Index (CCI), polypharmacy was associated with being pre-frail (OR=2.35, 95%CI=1.43-3.86) and frail (OR=4.48, 95%CI=1.90-10.54) compared to being robust. When adjusting for age, gender, exhaustion, KPS, IADLs, pain and distress, polypharmacy was associated with higher CCI scores (OR=1.58, 95%CI=1.29-1.94) and poorer physical function (OR=1.13, 95%CI=1.06-1.20). CONCLUSIONS: Polypharmacy is highly prevalent in older people with cancer and associated with impaired physical function and being pre-frail and frail compared to being robust. Research is needed to identify strategies to minimize patients' medication regimens.

The validity of the Rowland Universal Dementia Assessment Scale (RUDAS) in a multicultural cohort of community-dwelling older persons with early dementia.

The 6-item Rowland Universal Dementia Assessment Scale (RUDAS) is a simple, portable multicultural scale for detecting dementia. Items address executive function, praxis, gnosis, recent memory, and category fluency. It can be directly translated to other languages, without the need to change the structure or the format of any item. The RUDAS was administered to 151 consecutive, consenting, culturally diverse community-dwelling subjects of mean age 77 years, 72% of whom had an informant. Subjects were recruited from various clinics and healthcare programs. All were evaluated for cognitive impairment in a blinded manner by experienced clinicians in geriatric medicine. According to Diagnostic and Statistical Manual of Mental Disorder-IV criteria, 40% of the subjects were normal, 22% had cognitive impairment (not otherwise specified), and 38% had dementia; 84% of whom had questionable or mild dementia. In the primary analysis (normal subjects vs. those with definite dementia), the RUDAS accurately identified dementia, with an area under the receiver operating characteristic curve of 0.94 (95% confidence interval, 0.88-0.97); at the published cut point of less than 23/30, the positive likelihood ratio (LR) for dementia diagnosis was 8.77, and the negative likelihood ratio was 0.14. Additional analyses showed that the RUDAS performed less well when subjects with cognitive impairment (not dementia) were included. In all logistic regression models, the RUDAS was an independent predictor of dementia (odds ratio 0.64, 95% confidence interval, 0.52-0.79, primary analysis model), after adjusting for age, sex, years of education, and cultural diversity, none of which were independent predictors. Further studies are needed across the full spectrum of early dementia syndromes, and in additional ethnic minority groups.