questionsmedicales.fr
Équipement et fournitures
Cathéters
Cathéters urinaires
Cathéters urinaires : Questions médicales fréquentes
Termes MeSH sélectionnés :
Single-Cell Gene Expression Analysis
Diagnostic
5
Obstruction urinaire
Échographie
Infection urinaire
Analyse d'urine
Rétention urinaire
Surveillance post-opératoire
Fonction vésicale
Tests urodynamiques
Cathéter à demeure
Rétention urinaire
Symptômes
5
Infection urinaire
Symptômes
Irritation urinaire
Brûlures
Obstruction du cathéter
Flux urinaire
Lésion vésicale
Sang dans les urines
Fuite urinaire
Site d'insertion
Prévention
5
Prévention des infections
Techniques aseptiques
Obstruction du cathéter
Drainage
Lésion vésicale
Surveillance
Soin du cathéter
Complications
Éducation des patients
Hygiène
Traitements
5
Infection urinaire
Antibiotiques
Obstruction du cathéter
Irrigation
Retrait du cathéter
Fonction vésicale
Irritation urinaire
Analgésiques
Complications
5
Infection liée au cathéter
Antibiotiques
Utilisation prolongée
Lésions tissulaires
Prévention des complications
Surveillance
Complication grave
Saignement
Facteurs de risque
5
Facteurs de risque
Diabète
Sexe
Infections urinaires
Médicaments
Immunosuppresseurs
Hygiène
Infections urinaires
Hospitalisation
Infections nosocomiales
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"name": "Quelles pratiques pour un bon soin du cathéter ?",
"position": 14,
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"text": "Antibiotiques appropriés et, si nécessaire, remplacement du cathéter."
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"position": 17,
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"text": "Nettoyage régulier du site d'insertion et surveillance des signes d'infection."
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"name": "Comment gérer une obstruction du cathéter ?",
"position": 18,
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"name": "Quand retirer un cathéter ?",
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"position": 23,
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"name": "Comment prévenir les complications liées au cathéter ?",
"position": 24,
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"name": "Quels signes d'une complication grave ?",
"position": 25,
"acceptedAnswer": {
"@type": "Answer",
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},
{
"@type": "Question",
"name": "Quels facteurs augmentent le risque d'infection ?",
"position": 26,
"acceptedAnswer": {
"@type": "Answer",
"text": "Âge avancé, diabète, et antécédents d'infections urinaires sont des facteurs de risque."
}
},
{
"@type": "Question",
"name": "Comment le sexe influence-t-il le risque d'infection ?",
"position": 27,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les femmes ont un risque plus élevé d'infections urinaires en raison de l'anatomie."
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},
{
"@type": "Question",
"name": "Quels médicaments augmentent le risque d'infection ?",
"position": 28,
"acceptedAnswer": {
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"text": "Les immunosuppresseurs et certains antibiotiques peuvent augmenter le risque."
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{
"@type": "Question",
"name": "Quel rôle joue l'hygiène dans le risque d'infection ?",
"position": 29,
"acceptedAnswer": {
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"text": "Une mauvaise hygiène peut augmenter le risque d'infections urinaires liées au cathéter."
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{
"@type": "Question",
"name": "Comment l'hospitalisation influence-t-elle le risque ?",
"position": 30,
"acceptedAnswer": {
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Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale
Validation scientifique effectuée le 10/05/2025
Contenu vérifié selon les dernières recommandations médicales
2 publications dans cette catégorie
Affiliations :
Division of General Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA; Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA; Division of General Pediatrics, Department of Pediatrics and Communicable Diseases, University of Michigan Medical School, Ann Arbor, MI, USA. Electronic address: meddings@med.umich.edu.
Publications dans "Cathéters urinaires" :
2 publications dans cette catégorie
Affiliations :
Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey Veterans Affairs Medical Center, 2450 Holcombe Boulevard, Suite 01Y, Houston, TX 77021, USA; Department of Medicine, Section of Health Services Research, Baylor College of Medicine, Houston, TX, USA.
Publications dans "Cathéters urinaires" :
2 publications dans cette catégorie
Affiliations :
Department of Cell Biology and Molecular Genetics, University of Maryland at College Park, College Park, MD 20742.
Publications dans "Cathéters urinaires" :
2 publications dans cette catégorie
Affiliations :
Department of Cell Biology and Molecular Genetics, University of Maryland at College Park, College Park, MD 20742.
Publications dans "Cathéters urinaires" :
2 publications dans cette catégorie
Affiliations :
Department of Cell Biology and Molecular Genetics, University of Maryland at College Park, College Park, MD 20742.
Publications dans "Cathéters urinaires" :
2 publications dans cette catégorie
Affiliations :
Department of Internal Medicine, Division Infectious Diseases, Amsterdam Institute Infection and Immunity, Amsterdam, Netherlands.
Publications dans "Cathéters urinaires" :
2 publications dans cette catégorie
Affiliations :
Department of Biological Sciences, College of Science, University of Notre Dame, Notre Dame, United States.
Publications dans "Cathéters urinaires" :
2 publications dans cette catégorie
Affiliations :
Department of Biological Sciences, College of Science, University of Notre Dame, Notre Dame, United States.
Publications dans "Cathéters urinaires" :
2 publications dans cette catégorie
Affiliations :
Clinical Academic Facility, Faculty of Health Sciences, University of Southampton, Southampton, UK.
Publications dans "Cathéters urinaires" :
2 publications dans cette catégorie
Affiliations :
Research Student, De Montfort University, Leicester, and Nurse, University Hospitals of Leicester NHS Trust.
Publications dans "Cathéters urinaires" :
2 publications dans cette catégorie
Affiliations :
Professor of Nursing (Older People), School of Nursing and Midwifery, De Montfort University, Leicester.
Publications dans "Cathéters urinaires" :
2 publications dans cette catégorie
Affiliations :
Associate Professor, Mental Health Nursing, School of Nursing and Midwifery, De Montfort University, Leicester.
Publications dans "Cathéters urinaires" :
1 publication dans cette catégorie
Affiliations :
University of Florida, College of Medicine, Department of Surgery, Gainesville, FL.
Publications dans "Cathéters urinaires" :
1 publication dans cette catégorie
Affiliations :
UF Health Shands Hospital, Infection Prevention and Control, Gainesville, FL.
Publications dans "Cathéters urinaires" :
1 publication dans cette catégorie
Affiliations :
UF Health Shands Hospital, Infection Prevention and Control, Gainesville, FL; Florida State University, College of Medicine, Tallahassee, FL.
Publications dans "Cathéters urinaires" :
1 publication dans cette catégorie
Affiliations :
Service de médecine interne et de réadaptation, Beau-Séjour, Avenue de Beau-Séjour 26, 1206 Genève.
Publications dans "Cathéters urinaires" :
1 publication dans cette catégorie
Affiliations :
Service de médecine interne générale, Hôpitaux universitaires de Genève, 1211 Genève 14.
Publications dans "Cathéters urinaires" :
1 publication dans cette catégorie
Affiliations :
University of Maryland School of Medicine, Baltimore, MD.
Publications dans "Cathéters urinaires" :
1 publication dans cette catégorie
Affiliations :
University of California, San Francisco, CA.
Publications dans "Cathéters urinaires" :
1 publication dans cette catégorie
Affiliations :
Oregon Health and Sciences University, Portland, OR.
Publications dans "Cathéters urinaires" :
Single-cell (SC) gene expression analysis is crucial to dissect the complex cellular heterogeneity of solid tumors, which is one of the main obstacles for the development of effective cancer treatment...
scMuffin provides a series of functions to calculate qualitative and quantitative scores, such as: expression of marker sets for normal and tumor conditions, pathway activity, cell state trajectories,...
The analyses offered by scMuffin and the results achieved in the case study show that our tool helps addressing the main challenges in the bioinformatics analysis of SC expression data from solid tumo...
A common feature of single-cell RNA-seq (scRNA-seq) data is that the number of cells in a cell cluster may vary widely, ranging from a few dozen to several thousand. It is not clear whether scRNA-seq ...
We addressed this question by performing scRNA-seq and poly(A)-dependent bulk RNA-seq in comparable aliquots of human induced pluripotent stem cells-derived, purified vascular endothelial and smooth m...
Findings of the current study provide a quantitative reference for designing studies that aim for identifying DEGs for specific cell clusters using scRNA-seq data and for interpreting results of such ...
There is a wealth of software that utilizes single-cell RNA-seq (scRNA-seq) data to deconvolve spatial transcriptomic spots, which currently are not yet at single-cell resolution. Here we provide prot...
Normalization is a crucial step in the analysis of single-cell RNA-sequencing (scRNA-seq) counts data. Its principal objectives are reduction of systematic biases primarily introduced through technica...
The widely adopted bulk RNA-seq measures the gene expression average of cells, masking cell type heterogeneity, which confounds downstream analyses. Therefore, identifying the cellular composition and...
We propose a new deconvolution algorithm, DSSC, which infers cell type-specific gene expression and cell type proportions of heterogeneous samples simultaneously by leveraging gene-gene and sample-sam...
DSSC provides a practical and promising alternative to the experimental techniques to characterize cellular composition and heterogeneity in the gene expression of heterogeneous samples....
Cell clustering is a prerequisite for identifying differentially expressed genes (DEGs) in single-cell RNA sequencing (scRNA-seq) data. Obtaining a perfect clustering result is of central importance f...
Here, we propose single-cell minimum enclosing ball (scMEB), a novel and fast method for detecting single-cell DEGs without prior cell clustering results. The proposed method utilizes a small part of ...
We compared scMEB to two different approaches that could be used to identify DEGs without cell clustering. The investigation of 11 real datasets revealed that scMEB outperformed rival methods in terms...
The aim of this study was to reveal the key genes associated with macrophage polarization in liver cancer....
Data were downloaded from the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas databases (TCGA). R package Seurat 4.0 was used to preprocess the downloaded single-cell sequencing data, princi...
Two thousand highly variable genes were obtained after the normalization of single-cell profiles. In all, 16 principal components and 15 cell clusters were obtained. Monocytes and macrophages were the...
The key genes associated with macrophage polarization, namely CD53, TGFBI, S100A4, pyruvate kinase M, LSP1, and SPP1, may be potential therapeutic targets for liver cancer....
As an essential regulator of type I interferon (IFN) response, TMEM173 participates in immune regulation and cell death induction. In recent studies, activation of TMEM173 has been regarded as a promi...
Quantitative real-time PCR (qRT-PCR) and western blotting (WB) were applied to determine the mRNA and protein levels of TMEM173 in peripheral blood mononuclear cells (PBMCs). TMEM173 mutation status w...
The mRNA and protein levels of TMEM173 were increased in PBMCs from B-ALL patients. Besides, frameshift mutation was presented in TMEM173 sequences of 2 B-ALL patients. ScRNA-seq analysis identified t...
Our findings provide insights into the transcriptomic features of TMEM173 in the BM of high-risk B-ALL patients. Targeted activation of TMEM173 in specific cells might provide new therapeutic strategi...
The poor prognosis of sepsis warrants the investigation of biomarkers for predicting the outcome. Several studies have indicated that PANoptosis exerts a critical role in tumor initiation and developm...
We obtained Sepsis samples and scRNA-seq data from the GEO database. PANoptosis-related genes were subjected to consensus clustering and functional enrichment analysis, followed by identification of d...
Unsupervised clustering analysis using 16 PANoptosis-related genes identified three subtypes of sepsis. Kaplan-Meier analysis showed significant differences in patient survival among the subtypes, wit...
We developed a machine learning based Boruta algorithm for profiling PANoptosis related subgroups with in predicting survival and clinical features in the sepsis....
Macrophages play an important role in the occurrence and development of atherosclerosis. However, few existing studies have deliberately analyzed the changes in characteristic genes in the process of ...
Carotid atherosclerotic plaque single-cell RNA (scRNA) sequencing data were analyzed to define the cells involved and determine their transcriptomic characteristics. KEGG enrichment analysis, CIBERSOR...
Nine cell clusters were identified. M1 macrophages, M2 macrophages, and M2/M1 macrophages were identified as three clusters within the macrophages. According to pseudotime analysis, M2/M1 macrophages ...
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