1.
Primary care interventions to address physical frailty among community-dwelling adults aged 60 years or older: A meta-analysis.
Macdonald, SH, Travers, J, Shé, ÉN, Bailey, J, Romero-Ortuno, R, Keyes, M, O'Shea, D, Cooney, MT
PloS one. 2020;(2):e0228821
Abstract
INTRODUCTION The best interventions to address frailty among older adults have not yet been fully defined, and the diversity of interventions and outcome measures makes this process challenging. Consequently, there is a lack of guidance for clinicians and researchers regarding which interventions are most likely to help older persons remain robust and independent. This paper uses meta-analysis to assess effectiveness of primary care interventions for physical frailty among community-dwelling adults aged 60+ and provides an up-to-date synthesis of literature in this area. METHODS PubMed, CINAHL, Cochrane Register of Controlled Trials, and PEDro databases were searched, and RCTs, controlled pilot studies, or trials with similar study designs addressing frailty in the primary care setting among persons aged 60+ were chosen. Study data was abstracted following PRISMA guidelines, then meta-analysis was performed using the random effects model. RESULTS 31 studies with a total of 4794 participants were analysed. Interventions using predominantly resistance-based exercise and nutrition supplementation seemed to improve frailty status versus control (RR = 0.62 (CI 0.48-0.79), I2 = 0%). Exercise plus nutrition education also reduced frailty (RR = 0.69 (CI 0.58-0.82), I2 = 0%). Exercise alone seemed effective in reducing frailty (RR = 0.63 (CI 0.47-0.84), I2 = 0%) and improving physical performance (RR = 0.43 (CI 0.18-0.67), I2 = 0%). Exercise alone also appeared superior to control in improving gait speed (SMD = 0.36 (CI 0.10-0.61, I2 = 74%), leg strength (SMD = 0.61 (CI 0.09-1.13), I2 = 87%), and grip strength (Mean Difference = 1.08 (CI 0.02-2.15), I2 = 71%) though a high degree of heterogeneity was observed. Comprehensive geriatric assessment (RR = 0.77 (CI 0.64-0.93), I2 = 0%) also seemed superior to control in reducing frailty. CONCLUSION Exercise alone or with nutrition supplementation or education, and comprehensive geriatric assessment, may reduce physical frailty. Individual-level factors and health systems resource availability will likely determine configuration of future interventions.
2.
Predicting dementia from primary care records: A systematic review and meta-analysis.
Ford, E, Greenslade, N, Paudyal, P, Bremner, S, Smith, HE, Banerjee, S, Sadhwani, S, Rooney, P, Oliver, S, Cassell, J
PloS one. 2018;(3):e0194735
Abstract
INTRODUCTION Possible dementia is usually identified in primary care by general practitioners (GPs) who refer to specialists for diagnosis. Only two-thirds of dementia cases are currently recorded in primary care, so increasing the proportion of cases diagnosed is a strategic priority for the UK and internationally. Variables in the primary care record may indicate risk of developing dementia, and could be combined in a predictive model to help find patients who are missing a diagnosis. We conducted a meta-analysis to identify clinical entities with potential for use in such a predictive model for dementia in primary care. METHODS AND FINDINGS We conducted a systematic search in PubMed, Web of Science and primary care database bibliographies. We included cohort or case-control studies which used routinely collected primary care data, to measure the association between any clinical entity and dementia. Meta-analyses were performed to pool odds ratios. A sensitivity analysis assessed the impact of non-independence of cases between studies. From a sift of 3836 papers, 20 studies, all European, were eligible for inclusion, comprising >1 million patients. 75 clinical entities were assessed as risk factors for all cause dementia, Alzheimer's (AD) and Vascular dementia (VaD). Data included were unexpectedly heterogeneous, and assumptions were made about definitions of clinical entities and timing as these were not all well described. Meta-analysis showed that neuropsychiatric symptoms including depression, anxiety, and seizures, cognitive symptoms, and history of stroke, were positively associated with dementia. Cardiovascular risk factors such as hypertension, heart disease, dyslipidaemia and diabetes were positively associated with VaD and negatively with AD. Sensitivity analyses showed similar results. CONCLUSIONS These findings are of potential value in guiding feature selection for a risk prediction tool for dementia in primary care. Limitations include findings being UK-focussed. Further predictive entities ascertainable from primary care data, such as changes in consulting patterns, were absent from the literature and should also be explored in future studies.