AMPI-AB validity and reliability: a multidimensional tool in resource-limited primary care settings.

BACKGROUND: The early identification of individuals at high risk for adverse outcomes by a Comprehensive Geriatric Assessment (CGA) in resource-limited primary care settings enables tailored treatments, however, the evidence concerning its benefits are still controversial. The main objective of this study was to examine the validity and reliability of the "Multidimensional Assessment of Older People in Primary Care (AMPI-AB)", a CGA for primary care in resource-limited settings. METHODS: Longitudinal study, with median follow-up time of 16 months. Older adults from a public primary care unit in São Paulo, Brazil, were consecutively admitted. Reliability was tested in a sample from a public geriatric outpatient clinic. Participants were classified by the AMPI-AB score as requiring a low, intermediate or high complexity of care. The Physical Frailty Phenotype was used to explore the AMPI-AB's concurrent validity. Predictive validity was assessed with mortality, worsening of the functional status, hospitalizations, emergency room (ER) visits and falls. The area under the ROC curve and logistic regression were calculated for binary outcomes, and a Cox proportional hazards model was used for survival analysis. RESULTS: Older adults (n = 317) with a median age of 80 (74-86) years, 67% female, were consecutively admitted. At the follow-up, 7.1% of participants had died, and increased dependency on basic and instrumental activities of daily living was detected in 8.9 and 41.1% of the participants, respectively. The AMPI-AB score was accurate in detecting frailty (area under the ROC curve = 0.851), predicted mortality (HR = 1.25, 95%CI = 1.13-1.39) and increased dependency on basic (OR = 1.26, 95%CI = 1.10-1.46) and instrumental (OR = 1.22, 95%CI = 1.12-1.34) activities of daily living, hospitalizations (OR = 2.05, 95%CI = 1.04-1.26), ER visits (OR = 1.20, 95%CI = 1.10-1.31) and falls (OR = 1.10, 95%CI = 1.01-1.20), all models adjusted for sex and years of schooling. Reliability was tested in a sample of 52 older adults with a median age of 72 (85-64) years, 63.5% female. The AMPI-AB also had good interrater (ICC = 0.87, 95%CI = 0.78-0.92), test-retest (ICC = 0.86, 95%CI = 0.76-0.93) and proxy reliability (ICC = 0.84, 95%CI = 0.67-0.93). The Cronbach's alpha was 0.69, and the mean AMPI-AB administration time was 05:44 ± 02:42 min. CONCLUSION: The AMPI-AB is a valid and reliable tool for managing older adults in resource-limited primary care settings.

Persistent pain is a risk factor for frailty: a systematic review and meta-analysis from prospective longitudinal studies.

Background: pain is prevalent in frail older adults; however, the association of pain and frailty has not been evaluated yet by a systematic assessment of prospective longitudinal studies. Objective: we aimed to assess the association of persistent pain as a risk factor for frailty incidence, using data from longitudinal studies in a systematic review and meta-analysis. Methods: publications were identified using a systematic search on PubMed, Embase, Cochrane Library and clinicaltrials.gov databases from inception to October 2017. Since heterogeneity across studies was high, we used random-effects meta-analysis to calculate the pooled relative risk for the association between persistent pain and the incidence of frailty. We investigated sources of heterogeneity among studies using meta-regression and stratified analyses. Results: we included five prospective longitudinal studies with 13,120 participants (46% women, mean age from 59 to 85 years old). Participants with persistent pain at baseline had twice the risk of developing frailty during the follow-up (pooled RR = 2.22, 95% CI = 1.14-4.29). No variables were related to study heterogeneity in sensitivity analyses. Conclusion: persistent pain was a risk factor for the development of frailty in a meta-analysis of longitudinal studies. Better understanding of the association between pain and frailty with proper evaluation of potential confounders could allow the development of targeted interventions.