ABCB1 genotypes and haplotypes in patients with dementia and age-matched non-demented control patients

Amyloid β is an in vitro substrate for P-glycoprotein (P-gp), an efflux pump at the blood brain barrier (BBB). The Multi Drug Resistance (ABCB1) gene, encoding for P-gp, is highly polymorphic and this may result in a changed function of P-gp and may possibly interfere with the pathogenesis of Alzheimer's disease. This study investigates to what extent ABCB1 Single Nucleotide Polymorphisms (SNPs; C1236T in exon 12, G2677T/A in exon 21 and C3435T in exon 26) and inferred haplotypes exist in an elderly population and if these SNPs and haplotypes differ between patients with dementia and age-matched non-demented control patients. ABCB1 genotype, allele and haplotype frequencies were neither significantly different between patients with dementia and age-matched controls, nor between subgroups of different types of dementia nor age-matched controls. This study shows ABCB1 genotype frequencies to be comparable with described younger populations. To our knowledge this is the first study on ABCB1 genotypes in dementia. ABCB1 genotypes are presently not useful as a biomarker for dementia, as they were not significantly different between demented patients and age-matched control subjects

The Effects of Fall-Risk-Increasing Drugs on Postural Control:A Literature Review

<p>Meta-analyses showed that psychotropic drugs (antidepressants, neuroleptics, benzodiazepines, antiepileptic drugs) and some cardiac drugs (digoxin, type IA anti-arrhythmics, diuretics) are associated with increased fall risk. Because balance and gait disorders are the most consistent predictors of future falls, falls due to use of these so-called fall-risk-increasing drugs (FRIDs) might be partly caused by impairments of postural control that these drugs can induce. Therefore, the effects of FRIDs on postural control were examined by reviewing literature. Electronic databases and reference lists of identified papers were searched until June 2013. Only controlled research papers examining the effects of FRIDs on postural control were included. FRIDs were defined according to meta-analyses as antidepressants, neuroleptics, benzodiazepines, antiepileptic drugs, digoxin, type IA anti-arrhythmics, and diuretics. Ninety-four papers were included, of which study methods for quantifying postural control, and the effects of FRIDs on postural control were abstracted. Postural control was assessed with a variety of instruments, mainly evaluating aspects of body sway during quiet standing. In general, postural control was impaired, indicated by an increase in parameters quantifying body sway, when using psychotropic FRIDs. The effects were more pronounced when people were of a higher age, used psychotropics at higher daily doses, with longer half-lives, and administered for a longer period. From the present literature review, it can be concluded that psychotropic drugs cause impairments in postural control, which is probably one of the mediating factors for the increased fall risk these FRIDs are associated with. The sedative effects of these drugs on postural control are reversible, as was proven in intervention studies where FRIDs were withdrawn. The findings of the present literature review highlight the importance of using psychotropic drugs in the older population only at the lowest effective dose and for a limited period of time.</p>

Effects of a shared decision making intervention for older adults with multiple chronic conditions: the DICO study

Background: To evaluate the effects of a shared decision making (SDM) intervention for older adults with multiple chronic conditions (MCCs). Methods: A pragmatic trial evaluated the effects of the SDMMCC intervention, existing of SDM training for nine geriatricians in two hospitals and a preparatory tool for patients. A prospective pre-intervention post-intervention multi-center clinical study was conducted in which an usual care group of older patients with MCC and their informal caregivers was included before the implementation of the intervention and a new cohort of patients and informal caregivers after the implementation of the intervention. SDM was observed using the OPTIONMCC during video-recorded consultations. Patient- and caregivers reported outcomes regarding their role in SDM, involvement, perceived SDM and decisional conflict were measured. The differences between groups regarding the level of observed SDM (OPTIONMCC) were analyzed with a mixed model analysis. Dichotomous patient-reported outcomes were analyzed with a logistic mixed model. Results: From two outpatient geriatric clinics 216 patients with MCCs participated. The mean age was 77.3 years, and 56.3% of patients were female. No significant difference was found in the overall level of SDM as measured with the OPTIONMCC or in patient-reported outcomes. However, at item level the items discussing ‘goals’, ‘options’, and ‘decision making’ significantly improved after the intervention. The items discussing ‘partnership’ and ‘evaluating the decision-making process’ showed a significant decrease. Fifty-two percent of the patients completed the preparatory tool, but the results were only discussed in 12% of the consultations. Conclusion: This study provides scope for improvement of SDM in geriatrics. Engaging older adults with MCCs and informal caregivers in the decision making process should be an essential part of SDM training for geriatricians, beyond the SDM steps of explaining options, benefits and harms. More attention should be paid to the integration of preparatory work in the consultation

Measuring triadic decision making in older patients with multiple chronic conditions: Observer OPTIONMCC

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Measuring triadic decision making in older patients with multiple chronic conditions: Observer OPTIONMCC

OBJECTIVE: To develop a valid and reliable tool to measure triadic decision making between older adults with multiple chronic conditions (MCC), their informal caregivers and geriatricians. METHODS: Video observational study with cross-sectional assessment of interaction during medical consultations between geriatricians (n = 10), patients (n = 108) and informal caregivers (68) by three calibrated raters at the geriatric outpatient department of two Dutch hospitals. The Observer OPTIONMCC instrument was developed, based on the 'Dynamic model of SDM in frail older patients' and the 'Observing Patient Involvement in Decision Making - 5 item scale' (Observer OPTION-5). RESULTS: Factor analysis confirms that it is acceptable to regard the new scale as a single construct. The 7-item single factor solution explained 62.76% of the variability for geriatricians, 61.60% of the variability for patients and 54.32% of the variability for informal caregivers. The inter-rater ICC for the total Observer OPTIONMCC score was .96, .96, and .95 (resp. geriatricians, patients, informal caregivers), with values ranging from .60 to .95 for individual items, showing good levels of agreement. CONCLUSION AND PRACTICE IMPLICATIONS: We conclude that Observer OPTIONMCC is sufficiently valid and reliable to be used for the assessment of triadic SDM in populations of older patients with MCC

Measuring triadic decision making in older patients with multiple chronic conditions: Observer OPTIONMCC

Objective: To develop a valid and reliable tool to measure triadic decision making between older adults with multiple chronic conditions (MCC), their informal caregivers and geriatricians. Methods: Video observational study with cross-sectional assessment of interaction during medical consultations between geriatricians (n = 10), patients (n = 108) and informal caregivers (68) by three calibrated raters at the geriatric outpatient department of two Dutch hospitals. The Observer OPTIONMCC instrument was developed, based on the 'Dynamic model of SDM in frail older patients' and the 'Observing Patient Involvement in Decision Making - 5 item scale' (Observer OPTION-5). Results: Factor analysis confirms that it is acceptable to regard the new scale as a single construct. The 7-item single factor solution explained 62.76% of the variability for geriatricians, 61.60% of the variability for patients and 54.32% of the variability for informal caregivers. The inter-rater ICC for the total Observer OPTIONMCC score was .96, .96, and .95 (resp. geriatricians, patients, informal caregivers), with values ranging from .60 to .95 for individual items, showing good levels of agreement. Conclusion and Practice Implications: We conclude that Observer OPTIONMCC is sufficiently valid and reliable to be used for the assessment of triadic SDM in populations of older patients with MCC