Introduction: the inflammatory response caused by sepsis leads to metabolic changes, which may result in significant lean mass loss in septic patient. Because of this, when digestive tract is functional, nutritional therapy (NT) must be initiated within 48 hours of intensive treatment to reduce protein loss.
Objective: to evaluate enteral nutritional therapy (ENT) in adult septic patients with exclusive ENT for ≥ 72 hours and length of stay ≥7 days in Intensive Care Unit and its relationship with clinical prognosis.
Methods: we prospectively analyzed the adequacy of enteral nutrition administered, factors associated with non-conformity, gastrointestinal tolerance and outcome. Statistical tests of chi-square and Student's t as well as Mann-Whitney and Spearman and Pearson correlations (p < 0.05) were used. A multiple logistic regression model has been done by using the stepwise method to evaluate the association between predictors of clinical outcome.
Results: 53 patients, 67.9% male and 52.8% elderly were enrolled in this study. The average time for starting ENT was 30 (23.5) hours, and 88.7% of patients achieved nutritional goal in 48 hours. The mean volume delivered in relation to prescribed was 78.9%. When the sample was stratified according to administered/ prescribed calories, patients who received < 80% had a higher mortality rate (p = 0.001) and the caloric intake ≥ 80% was the determining factor in patients' clinical prognosis (p = 0.021).
Conclusion: septic patients received early enteral nutrition. The nutritional goal and the mean volume delivered in relation to the prescribed volume meet the intensive care guidelines. The nutritional support was associated with clinical outcome, and caloric intake ≥ 80% determining the clinical prognosis. The pauses caused by reflux were significant in the group of patients who died and it may be related to disease severity.
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http://dx.doi.org/10.3305/nh.2015.32.3.9266 | DOI Listing |
Curr Pharm Biotechnol
January 2025
Department of Intensive Care Unit, Affiliated Hospital of Guangdong Medical University, 524000 Zhanjiang, China.
Objectives: This study aimed to comprehensively investigate the molecular landscape of gastric cancer (GC) by integrating various bioinformatics tools and experimental validations.
Methodology: GSE79973 dataset, limma package, STRING, UALCAN, GEPIA, OncoDB, cBioPortal, DAVID, TISIDB, Gene Set Cancer Analysis (GSCA), tissue samples, RT-qPCR, and cell proliferation assay were employed in this study.
Results: Analysis of the GSE79973 dataset identified 300 differentially expressed genes (DEGs), from which COL1A1, COL1A2, CHN1, and FN1 emerged as pivotal hub genes using protein-protein interaction network analysis.
Comb Chem High Throughput Screen
January 2025
Thoracic and Abdominal Radiotherapy Department I, Meizhou People's Hospital, Meizhou 514031, Guangdong, China.
Background: TSPOAP1 antisense RNA 1 (TSPOAP1-AS1) is a long non-coding RNA (lncRNA) that has received widespread attention in oncology research in recent years. Its role and mechanism in some cancers have gradually been revealed. However, it is not clear what role TSPOAP1-AS1 plays in cervical cancer (CESC).
View Article and Find Full Text PDFEndocr Metab Immune Disord Drug Targets
January 2025
Department of Laboratory Medicine, Taizhou First People's Hospital, Huangyan Hospital of Wenzhou Medical University, Taizhou, Zhejiang, China.
Aim: The aim of this study is to examine the role of the microrchidia (MORC) family, a group of chromatin remodeling proteins, as the therapeutic and prognostic markers for colorectal cancer (CRC).
Background: MORC protein family genes are a highly conserved nucleoprotein superfamily whose members share a common domain but have distinct biological functions. Previous studies have analyzed the roles of MORCs as epigenetic regulators and chromatin remodulators; however, the involvement of MORCs in the development and pathogenesis of CRC was less examined.
Curr Med Imaging
January 2025
Department of Radiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Objective: The aim of this study was to develop and validate predictive models for perineural invasion (PNI) in gastric cancer (GC) using clinical factors and radiomics features derived from contrast-enhanced computed tomography (CE-CT) scans and to compare the performance of these models.
Methods: This study included 205 GC patients, who were randomly divided into a training set (n=143) and a validation set (n=62) in a 7:3 ratio. Optimal radiomics features were selected using the least absolute shrinkage and selection operator (LASSO) algorithm.
Cancer Med
January 2025
Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, China.
Background: Distinctive heterogeneity characterizes diffuse large B-cell lymphoma (DLBCL), one of the most frequent types of non-Hodgkin's lymphoma. Mitochondria have been demonstrated to be closely involved in tumorigenesis and progression, particularly in DLBCL.
Objective: The purposes of this study were to identify the prognostic mitochondria-related genes (MRGs) in DLBCL, and to develop a risk model based on MRGs and machine learning algorithms.
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