We want to underline that, besides maintaining residual renal function, strict blood pressure control, particularly diastolic blood pressure, and avoiding hypervolemia and abdominal obesity should be main clinical goals in follow-up of PD patients in order to prevent LVH progression.
YKL-40 has been introduced as a marker of inflammation in different clinical situations. The association between YKL-40 and inflammation in chronic renal failure patients has not been researched currently. The objectives of this study were to establish serum YKL-40 concentrations in dialysis patients with chronic renal failure compared to healthy subjects and to explore its relationships with a proinflammatory cytokine, interleukine-6 (IL-6) and an acute phase mediator, high sensitivity C-reactive protein (hs-CRP). The study population included hemodialysis patients (N = 43; mean age of 40.9 ± 14.5), peritoneal dialysis patients (N = 38; mean age of 45.8 ± 13.7) and healthy subjects (N = 37; mean age of 45.5 ± 10.6). Serum concentrations of YKL-40, IL-6, hs-CRP and routine laboratory measures were evaluated. Compared to the healthy subjects, hemodialysis and peritoneal dialysis patients had higher concentrations of YKL-40, IL-6, hs-CRP, as well as lower concentrations of hemoglobin, serum albumin and high density lipoprotein-cholesterol (P < 0.001). YKL-40 concentrations were positively correlated with serum creatinine (P < 0.001, r = 0.495), IL-6 (P < 0.001, r = 0.306), hs-CRP (P = 0.001, r = 0.306) levels and inversely correlated with hemoglobin (P = 0.002, r = -0.285), serum albumin (P < 0.001, r = -0.355) and high density lipoprotein-cholesterol (P = 0.001, r = -0.306). In multivariate regression analysis YKL-40 was associated with creatinine, serum albumin and hs-CRP concentrations after adjustments with covariates. Dialysis patients with chronic renal failure have elevated serum YKL-40 concentrations. Associations with standard inflammatory parameters suggest that YKL-40 might be a novel inflammatory marker in this population.
Background: Human milk is the optimal food for newborns. Choices to feed preterm infants in neonatal intensive care units are mother’s milk, donor milk, or formula. Preterm infants have better tolerance for human milk, but the lower caloric density of donor milk might not meet preterm infant growth needs. Preterm infants have higher protein and energy requirements with a limited stomach capacity. Therefore, there is a need for human milk with increased nutrient density. Research Aim: To concentrate donor milk to have a higher caloric and protein density while avoiding side effects of high osmolality by precipitating lactose at low temperatures. Methods: We investigated the results of volume reduction and lactose removal processes on the lactose, protein, osmolality, and viscosity of human milk. Donor milk was obtained from WakeMed Mothers’ Milk Bank. Homogenization and evaporative condensation were applied to samples ( N = 36) before they were stored frozen overnight, followed by refrigerated centrifugation for lactose removal at 0 °C. Supernatants were separated and compared to the composition of controls. Results: A significant reduction of lactose ( SW = -262, p < .0001) and osmolality ( SW = -211.5 p < .01) was achieved in the concentrated milk without a significant protein loss from centrifugation ( SW = -44.5, p = .49). A 30%–40% volume reduction is within the American Academy of Pediatrics recommended osmolality for infant feeding. Conclusion: Concentrating human milk in a milk bank setting for feeding preterm infants might be a simple and low-cost process to achieve a product with higher nutrient density and no non-human components.
Urbanization has brought about more impenetrable surfaces, and this causes most regions’ stormwater systems to be not ready to manage flooding occasions related to increased stormwater overflow. To deal with stormwater management concerns, a growing number of states and regions have been implementing green infrastructure. In addition, municipalities must develop green infrastructure on publicly owned land and urge people to install green infrastructure on their private property to meet stormwater management goals. The factors that influence people’s willingness to implement their green infrastructure have been studied in the past. However, very few studies have comprehensively researched the barriers to adoption, and social barriers, for the most part, have been ignored. This research aims to understand better the factors that influence citizens’ desire to install green infrastructure by investigating socio-cognitive factors and other influencing factors. An online questionnaire was established for this purpose. Statistical analyses were conducted using hierarchical logistic regression models built for each form of green infrastructure in the study. Self-efficacy, subjective norm, visual appearance, maintenance time, and general knowledge were all found to be significant determinants of a resident’s willingness to install green infrastructure. In the current study, however, attitudes and cost identified as significant barriers in the literature were not found significant to predict willingness to implement green infrastructure. Moreover, these findings suggest that municipalities may successfully promote green infrastructure adoption on private land by training and sponsoring exemplary projects in residential districts.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.