1.The Effects of Active Warming on Pain, Temperature, and Thermal Discomfort in Postoperative Patients after General Anesthesia for Abdominal Surgery
Journal of Korean Critical Care Nursing 2017;10(3):53-64
PURPOSE: This study investigated the effects of active warming using a Warm Touch warming system or a cotton blanket in postoperative patients after general anesthesia for abdominal surgery.METHODS: This quasi-experimental study utilized two experimental groups and one control group: a cotton-blanket group (n = 25) were warmed with a cotton blanket and a sheet; a forced-air warming group (n = 24) were warmed with a Warm Touch warming system, a cotton blanket, and a sheet; and a control group (n = 25) were warmed with a sheet. Measurement variables were postoperative pain, body temperature, and thermal discomfort. Data were analyzed using a one-way ANOVA, χ2-tests, Fisher's exact test, and a repeated measures ANOVA.RESULTS: The effects of active warming using a Warm Touch warming system and a cotton blanket on postoperative patients was significant in reducing pain (F = 13.91, p < .001) and increasing body temperature (F = 12.49, p < .001).CONCLUSION: Active warming made a significant difference in pain and body temperature changes. Active warming methods may help patients' postoperative recovery and prevent complications. Further research is needed to explore the effects and side effects of active warming on recovering normothermia.
Anesthesia, General
;
Body Temperature
;
Body Temperature Changes
;
Humans
;
Non-Randomized Controlled Trials as Topic
;
Pain, Postoperative
;
Postanesthesia Nursing
2.Pathway Analysis of Metabolic Syndrome Using a Genome-Wide Association Study of Korea Associated Resource (KARE) Cohorts.
Unjin SHIM ; Han Na KIM ; Yeon Ah SUNG ; Hyung Lae KIM
Genomics & Informatics 2014;12(4):195-202
Metabolic syndrome (MetS) is a complex disorder related to insulin resistance, obesity, and inflammation. Genetic and environmental factors also contribute to the development of MetS, and through genome-wide association studies (GWASs), important susceptibility loci have been identified. However, GWASs focus more on individual single-nucleotide polymorphisms (SNPs), explaining only a small portion of genetic heritability. To overcome this limitation, pathway analyses are being applied to GWAS datasets. The aim of this study is to elucidate the biological pathways involved in the pathogenesis of MetS through pathway analysis. Cohort data from the Korea Associated Resource (KARE) was used for analysis, which include 8,842 individuals (age, 52.2 +/- 8.9 years; body mass index, 24.6 +/- 3.2 kg/m2). A total of 312,121 autosomal SNPs were obtained after quality control. Pathway analysis was conducted using Meta-analysis Gene-Set Enrichment of Variant Associations (MAGENTA) to discover the biological pathways associated with MetS. In the discovery phase, SNPs from chromosome 12, including rs11066280, rs2074356, and rs12229654, were associated with MetS (p < 5 x 10(-6)), and rs11066280 satisfied the Bonferroni-corrected cutoff (unadjusted p < 1.38 x 10(-7), Bonferroni-adjusted p < 0.05). Through pathway analysis, biological pathways, including electron carrier activity, signaling by platelet-derived growth factor (PDGF), the mitogen-activated protein kinase kinase kinase cascade, PDGF binding, peroxisome proliferator-activated receptor (PPAR) signaling, and DNA repair, were associated with MetS. Through pathway analysis of MetS, pathways related with PDGF, mitogen-activated protein kinase, and PPAR signaling, as well as nucleic acid binding, protein secretion, and DNA repair, were identified. Further studies will be needed to clarify the genetic pathogenesis leading to MetS.
Body Mass Index
;
Chromosomes, Human, Pair 12
;
Cohort Studies*
;
Dataset
;
DNA Repair
;
Genome-Wide Association Study*
;
Inflammation
;
Insulin Resistance
;
Korea
;
Metabolic Syndrome X
;
Obesity
;
Peroxisome Proliferator-Activated Receptors
;
Peroxisomes
;
Phosphotransferases
;
Platelet-Derived Growth Factor
;
Polymorphism, Single Nucleotide
;
Protein Binding
;
Protein Kinases
;
Quality Control