PubMed HealthSearch

PubMed · 3129436

Computer-drafted pressure support gloves.

Abstract

Using computer-drafted pressure support gloves during a six-month period, we greatly increased our accuracy of fit. Only eight alterations were required out of 214 gloves manufactured, and none of the alterations was due to computer error. Our time to calculate and lay out patterns decreased by a 4:1 ratio, thus reducing a two-hour time period to one-half hour per glove. The cost of hardware and software was offset by reduced labor costs over a period of approximately eight months. Use of the computer was cost effective, produced error-free patterns, and allowed better control of pattern consistency.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

L M Apfel, D Dennis, T L Wachtel, M Dennis, H A Frank. Computer-drafted pressure support gloves.. https://doi.org/10.1097/00004630-198803000-00008

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Comprehensive Analysis of Differentially Expressed Genes and Immune Infiltration in Burn Injury: Key Biomarkers and Pathways.

BACKGROUND: Burn injuries trigger complex immune responses and gene expression changes, impacting wound healing and systemic inflammation. Understanding these changes is crucial for identifying biomarkers and therapeutic targets. METHODS: We analyzed two gene expression omnibus datasets (wound tissue [GSE8056] and blood [GSE37069]) to identify differentially expressed genes (DEGs) in burn injury samples versus controls. Immune cell proportions were assessed using CIBERSORT. Functional enrichment analyses (Gene Ontology and Kyoto Encyclopedia of Genes and Genomes) and protein-protein interaction networks were constructed to identify key genes and pathways. RESULTS: We identified 1170 upregulated and 1227 downregulated DEGs. Gene Ontology analysis revealed enrichment in neutrophil activation, inflammatory response, and extracellular matrix organization. Kyoto Encyclopedia of Genes and Genomes analysis highlighted cytokine-cytokine receptor interaction, TNF, and IL-17 signaling pathways. Immune infiltration analysis showed significant changes in neutrophils, macrophages (M1/M2), and T-cell subsets. Protein-protein interaction network analysis identified five hub genes: JUN, STAT1, Bcl2, MMP9, and TLR2. CONCLUSIONS: This study provides a comprehensive bioinformatic analysis of gene expression and immune responses in burn injuries. The identified DEGs, hub genes, and pathways offer insights into the immune response mechanisms and suggest potential targets for diagnostic and therapeutic interventions in burn injury management.

Burns

[Epidemiological studies on scalded children admitted to the burns unit at the Hvidovre hospital during 1981-1990].

During the ten year period 1981 to 1990, a total of 436 children aged 0-5 years were admitted for scalds at the Burns Unit of Hvidovre Hospital. We did not find any reduction in the number of admissions during this period nor was any change in the patterns of scalds found. Water, tea and coffee were the main causal agents of scalds and the dominant group of scalded children was between the ages one to two years. In 37% of cases, the scalds required grafting and the average stay in hospital was 16 days. The background for this unchanged pattern could be that the prophylactive campaigns have been insufficient.

Burns