Background: Persons living with dementia (PLWD) in adult day centers (ADCs) represent a complex and vulnerable population whose well-being is at risk based on numerous factors. Greater knowledge of the interaction between dementia, chronic conditions, and social determinants of health would enable ADCs to identify and target the use of their resources to better support clients in need of in-depth intervention. The purpose of this paper is to (a) classify PLWD in ADCs according to their level of medical complexity and (b) identify the demographic, functional, and clinical characteristics of those with the highest degree of medical complexity.
Methods: This was a secondary data analysis of 3052 clients with a dementia diagnosis from 53 ADCs across the state of California between 2012 and 2019. The most common diagnosis codes were organized into 28 disease categories to enable a latent class analysis (LCA). Chi-square test, analysis of variance (ANOVA), and Kruskal-Wallis tests were conducted to examine differences among latent classes with respect to clinical and functional characteristics.
Results: An optimal 4-class solution was chosen to reflect chronic conditions among PLWD: high medical complexity, moderate medical complexity, low medical complexity, and no medical complexity. Those in the high medical complexity were taking an average of 12.72 (+/- 6.52) medications and attending the ADC an average of 3.98 days (+/- 1.31) per week-values that exceeded any other class. They also experienced hospitalizations more than any other group (19.0%) and met requirements for the nursing facility level of care (77.4%). In addition, the group experienced the greatest frequency of bladder (57.5%) and bowel (15.7%) incontinence.
Conclusions: Our results illustrate a high degree of medical complexity among PLWD in ADCs. A majority of PLWD not only have multimorbidity but are socially disadvantaged. Our results demonstrate that a comprehensive multidisciplinary approach that involves community partners such as ADCs is critically needed that addresses functional decline, loneliness, social isolation, and multimorbidity which can negatively impact PLWD.
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http://dx.doi.org/10.1186/s12877-022-03206-0 | DOI Listing |
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Division of Cardiology, Department of Medicine; Hackensack University Medical Center; Hackensack, New Jersey.
JAMA Surg
January 2025
Department of Surgery, University of Michigan, Ann Arbor.
Importance: Growing trends in private equity acquisition of acute care hospitals in the US have motivated investigations into quality of care delivered at these health centers. While some studies have explored comparative outcomes for high-acuity medical conditions, care trends and outcomes of complex surgical procedures, such as esophagectomy, at private equity-acquired hospitals is unknown.
Objective: To compare structural characteristics and postoperative outcomes following esophagectomy between private equity-acquired and nonacquired health centers.
Methods Mol Biol
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Life Science Institute, University of Michigan, Ann Arbor, MI, USA.
Cell lineage analysis is primarily undertaken to understand cell fate specification and diversification along a cell lineage tree. Built with dual repressible markers, twin-spot mosaic analysis with repressible cell markers (MARCM) labels the two daughter cells made by a common precursor in distinct colors. The power of twin-spot MARCM to systematically subdivide complex lineages is exemplified in studies of Drosophila neural stem-cell lineages.
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Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.
During development, cells undergo a sequence of specification events to form functional tissues and organs. To investigate complex tissue development, it is crucial to visualize how cell lineages emerge and to be able to manipulate regulatory factors with temporal control. We recently developed TEMPO (Temporal Encoding and Manipulation in a Predefined Order), a genetic tool to label with different colors and genetically manipulate consecutive cell generations in vertebrates.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK.
The HOX and PBX genes encode transcription factors that have key roles in development and cancer, both independently and as a heterodimer within a complex of proteins that recognizes specific sequences in DNA and can both activate and repress transcription of target genes. Due to functional redundancy amongst HOX proteins, knock down or knock out studies of individual genes often do not result in an altered phenotype. An alternative approach is to target the interaction between HOX and PBX proteins, which is dependent on a conserved hexapeptide region within HOX.
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