34 research outputs found
Allergic diseases in the elderly
Demographic distribution of the population is progressively changing with the proportion of elderly persons increasing in most societies. This entails that there is a need to evaluate the impact of common diseases, such as asthma and other allergic conditions, in this age segment. Frailty, comorbidities and polymedication are some of the factors that condition management in geriatric patients. The objective of this review is to highlight the characteristics of allergic diseases in older age groups, from the influence of immunosenescence, to particular clinical implications and management issues, such as drug interactions or age-related side effects
Endocrinologic, neurologic, and visual morbidity after treatment for craniopharyngioma
Craniopharyngiomas are locally aggressive tumors which typically are focused in the sellar and suprasellar region near a number of critical neural and vascular structures mediating endocrinologic, behavioral, and visual functions. The present study aims to summarize and compare the published literature regarding morbidity resulting from treatment of craniopharyngioma. We performed a comprehensive search of the published English language literature to identify studies publishing outcome data of patients undergoing surgery for craniopharyngioma. Comparisons of the rates of endocrine, vascular, neurological, and visual complications were performed using Pearson’s chi-squared test, and covariates of interest were fitted into a multivariate logistic regression model. In our data set, 540 patients underwent surgical resection of their tumor. 138 patients received biopsy alone followed by some form of radiotherapy. Mean overall follow-up for all patients in these studies was 54 ± 1.8 months. The overall rate of new endocrinopathy for all patients undergoing surgical resection of their mass was 37% (95% CI = 33–41). Patients receiving GTR had over 2.5 times the rate of developing at least one endocrinopathy compared to patients receiving STR alone or STR + XRT (52 vs. 19 vs. 20%, χ2P < 0.00001). On multivariate analysis, GTR conferred a significant increase in the risk of endocrinopathy compared to STR + XRT (OR = 3.45, 95% CI = 2.05–5.81, P < 0.00001), after controlling for study size and the presence of significant hypothalamic involvement. There was a statistical trend towards worse visual outcomes in patients receiving XRT after STR compared to GTR or STR alone (GTR = 3.5% vs. STR 2.1% vs. STR + XRT 6.4%, P = 0.11). Given the difficulty in obtaining class 1 data regarding the treatment of this tumor, this study can serve as an estimate of expected outcomes for these patients, and guide decision making until these data are available
Myocyte membrane and microdomain modifications in diabetes: determinants of ischemic tolerance and cardioprotection
Suitability of 3-point versus 7-point postprandial retinyl palmitate AUC in human bioavailability studies
An Experimental Investigation on the Ultimate Strength of Partially Infilled: Braced Steel Frames
Occurrence of Gnathostoma spinigerum in a leopard cat from Wayanad Wildlife Sanctuary, Kerala
Bayesian Networks for Understanding Human-Wildlife Conflict in Conservation
Human-wildlife conflict is a major threat to survival and viability of many native animal species worldwide. Successful management of this conflict requires evidence-based understanding of the complex system of factors that motivate and facilitate it. However, for many affected species, data on this sensitive subject are too sparse for many statistical techniques. This study considers two iconic wild cats under threat in diverse locations and employs a Bayesian Network approach to integrate expert-elicited information into a probabilistic model of the factors affecting human-wildlife conflict. The two species considered are cheetahs in Botswana and jaguars in the Peruvian Amazon. Results of the individual network models are presented and the relative importance of different conservation management strategies are presented and discussed. The study highlights the strengths of the Bayesian Network approach for quantitatively describing complex, data-poor real world systems.</p