Fine-needle aspiration (FNA) cytology has an established role in the investigation of lymphadenopathy in HIV-infected patients. However, changes in the spectrum of disease have been observed since the introduction of highly active antiretroviral therapy (HAART). The aim of the study was to establish whether FNA cytology remains a useful investigative tool in the post-HAART era and to determine whether the cytology results reflect the changing patterns of disease. Retrospective search of the cytopathology database at University College London Hospitals identified 73 FNA cytology procedures performed in 62 patients between January 1998 and December 2006. FNA cytology showed significant disease in 90% of adequate samples. The most common diagnoses were persistent generalized lymphadenopathy (PGL, 50%), infection (22%) and malignancy (18%). Diagnoses could not be made in 31% of patients because of inadequate sampling. An open lymph node biopsy was subsequently performed in 27% of patients. FNA cytology remains an important initial investigation in the post-HAART era, particularly in the diagnosis of PGL, infection and malignancy. Difficulties in diagnosis of Castleman disease and Hodgkin's lymphoma by FNA cytology are recognized.
The use of algorithms for safe patient handling in the acute care setting has been established and integrated into the standards of practice. This is not the case in the home care setting where the patient and caregivers are at risk for injury during patient transfers. Many factors need to be assessed before recommending a mechanical lift for home use. Some of the factors include the patient's weight-bearing status, cognitive level, and upper extremity strength, and the caregiver's ability to lift more than 35 pounds. All of these factors have been included in the clinical decision-making algorithm described in this article. Two case scenarios are presented to assist the reader with the analysis and application of the algorithm.
Partnered research may help bridge the gap between research and practice. Community-based participatory research (CBPR) supports collaboration between scientific researchers and community members that is designed to improve capacity, enhance trust, and address health disparities. Systems science aims to understand the complex ways human-ecological coupled systems interact and apply knowledge to management practices. Although CBPR and systems science display complementary principles, only a few articles describe synergies between these 2 approaches. In this article, we explore opportunities to utilize concepts from systems science to understand the development, evolution, and sustainability of 1 CBPR partnership: The Community Health Advocacy and Research Alliance (CHARA). Systems science tools may help CHARA and other CBPR partnerships sustain their core identities while co-evolving in conjunction with individual members, community priorities, and a changing healthcare landscape. Our goal is to highlight CHARA as a case for applying the complementary approaches of CBPR and systems science to (1) improve academic/community partnership functioning and sustainability, (2) ensure that research addresses the priorities and needs of end users, and (3) support more timely application of scientific discoveries into routine practice.
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