Grip strength and functional recovery after hip fracture: An observational study in elderly population

Muscle strength is a common issue in fragility syndrome and sarcopenia, both of them involved in the pathogenesis of falls and fractures. The objective is to study the relationship between hand grip strength and functional recovery after hip fracture surgery. This prospective observational study included patients aged 65. years and older who were admitted to hospital for hip fracture surgery during a 12 month period. Functional status (Barthel Index), mental status (Cruz Roja Index), hand grip strength, 25/OH-Vitamin D plasmatic levels were evaluated at admission. Follow-up was performed 3. months after discharge to assess functional status and survival. Correlations between hand grip strength and the rest of variables were evaluated. Univariate and multivariate analyses were further applied. Mean age of subjects was 85.1. ±. 0.63 years. Out of 127 subjects, 103 were women and 24 were men. Hand grip strength was obtained in 85 patients (76.5%) and, values were between 3.3 and 24.8. kg and 81 patients (95.2%) had values below cut-point of sarcopenia considering European Working Group of Sarcopenia criteria. Hand grip strength at admission shows significant association to Barthel index at three months and functional recovery. It is also associated with age (P <. 0.001) (r = 0.81), sex (P = 0.001), cognitive status by Cruz Roja Index (P <. 0.001) and functional status measured at admission by Barthel Index (P <. 0.01) (r = -0.22). Multivariate analysis confirmed that variables were independently associated to grip strength. Hand grip strength measured at admission in Orthogeriatric Unit after hip fracture is directly related to functional recovery in elderly patients.

Structural brain connectivity and cognitive ability differences: A multivariate distance matrix regression analysis

Neuroimaging research involves analyses of huge amounts of biological data that might or might not be related with cognition. This relationship is usually approached using univariate methods, and, therefore, correction methods are mandatory for reducing false positives. Nevertheless, the probability of false negatives is also increased. Multivariate frameworks have been proposed for helping to alleviate this balance. Here we apply multivariate distance matrix regression for the simultaneous analysis of biological and cognitive data, namely, structural connections among 82 brain regions and several latent factors estimating cognitive performance. We tested whether cognitive differences predict distances among individuals regarding their connectivity pattern. Beginning with 3,321 connections among regions, the 36 edges better predicted by the individuals' cognitive scores were selected. Cognitive scores were related to connectivity distances in both the full (3,321) and reduced (36) connectivity patterns. The selected edges connect regions distributed across the entire brain and the network defined by these edges supports high-order cognitive processes such as (a) (fluid) executive control, (b) (crystallized) recognition, learning, and language processing, and (c) visuospatial processing. This multivariate study suggests that one widespread, but limited number, of regions in the human brain, supports high-level cognitive ability differences. Hum Brain Mapp, 2016. © 2016 Wiley Periodicals, Inc.