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Maryam Aghighi Laura Pisani Ashok J. Theruvath Anne M. Muehe Jessica Donig Ramsha Khan Samantha J. Holdsworth Neeraja Kambham Waldo Concepcion Paul C. Grimm Heike E. Daldrup-Link 《Molecular imaging and biology》2018,20(1):139-149
Purpose
To evaluate whether ultrasmall superparamagnetic iron oxide nanoparticle (USPIO)-enhanced magnetic resonance imaging (MRI) can detect allograft rejection in pediatric kidney transplant patients.Procedures
The USPIO ferumoxytol has a long blood half-life and is phagocytosed by macrophages. In an IRB-approved single-center prospective clinical trial, 26 pediatric patients and adolescents (age 10–26 years) with acute allograft rejection (n = 5), non-rejecting allografts (n = 13), and normal native kidneys (n = 8) underwent multi-echo T2* fast spoiled gradient-echo (FSPGR) MRI after intravenous injection (p.i.) of 5 mg Fe/kg ferumoxytol. T2* relaxation times at 4 h p.i. (perfusion phase) and more than 20 h p.i. (macrophage phase) were compared with biopsy results. The presence of rejection was assessed using the Banff criteria, and the prevalence of macrophages on CD163 immunostains was determined based on a semi-quantitative scoring system. MRI and histology data were compared among patient groups using t tests, analysis of variance, and regression analyses with a significance threshold of p < 0.05.Results
At 4 h p.i., mean T2* values were 6.6 ± 1.5 ms for native kidneys and 3.9 ms for one allograft undergoing acute immune rejection. Surprisingly, at 20–24 h p.i., one rejecting allograft showed significantly prolonged T2* relaxation times (37.0 ms) compared to native kidneys (6.3 ± 1.7 ms) and non-rejecting allografts (7.6 ± 0.1 ms). Likewise, three additional rejecting allografts showed significantly prolonged T2* relaxation times compared to non-rejecting allografts at later post-contrast time points, 25–97 h p.i. (p = 0.008). Histological analysis revealed edema and compressed microvessels in biopsies of rejecting allografts. Allografts with and without rejection showed insignificant differences in macrophage content on histopathology (p = 0.44).Conclusion
After ferumoxytol administration, renal allografts undergoing acute rejection show prolonged T2* values compared to non-rejecting allografts. Since histology revealed no significant differences in macrophage content, the increasing T2* value is likely due to the combined effect of reduced perfusion and increased edema in rejecting allografts.994.
Are there common familial influences for major depressive disorder and an overeating–binge eating dimension in both European American and African American Female twins? 下载免费PDF全文
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A Register‐Based Study of Diseases With an Autosomal Recessive Origin in Small Children in Denmark According to Maternal Country of Origin 下载免费PDF全文
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Jeph Herrin Ph.D. Justin St. Andre M.A. Kevin Kenward Ph.D. Maulik S. Joshi Dr.P.H. Anne‐Marie J. Audet M.D. M.Sc. Stephen C. Hines Ph.D. 《Health services research》2015,50(1):20-39
Objective
To examine the relationship between community factors and hospital readmission rates.Data Sources/Study Setting
We examined all hospitals with publicly reported 30-day readmission rates for patients discharged during July 1, 2007, to June 30, 2010, with acute myocardial infarction (AMI), heart failure (HF), or pneumonia (PN). We linked these to publicly available county data from the Area Resource File, the Census, Nursing Home Compare, and the Neilsen PopFacts datasets.Study Design
We used hierarchical linear models to assess the effect of county demographic, access to care, and nursing home quality characteristics on the pooled 30-day risk-standardized readmission rate.Data Collection/Extraction Methods
Not applicable.Principal Findings
The study sample included 4,073 hospitals. Fifty-eight percent of national variation in hospital readmission rates was explained by the county in which the hospital was located. In multivariable analysis, a number of county characteristics were found to be independently associated with higher readmission rates, the strongest associations being for measures of access to care. These county characteristics explained almost half of the total variation across counties.Conclusions
Community factors, as measured by county characteristics, explain a substantial amount of variation in hospital readmission rates. 相似文献998.
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Vanessa Pirani Gaioso Antonia Maria Villarruel Lynda Anne Wilson Andres Azuero Gwendolyn Denice Childs Susan Lane Davies 《Revista latino-americana de enfermagem》2015,23(3):500-511