Search PubMedSearch

PubMed · 42219082

A one‑year snapshot of pediatric regional anesthesia at a French Tertiary University Hospital.

Abstract

BACKGROUND: Regional anesthesia (RA) is a major component of multimodal perioperative analgesia in children. Despite proven benefits, pediatric RA practice shows marked inter-institutional and international variability, with global practice patterns remaining largely underreported. This study aimed to characterize current RA practices in a pediatric anesthesia department of a French tertiary university hospital. METHODS: This retrospective observational study of prospectively collected data over one year included all children aged 0-18 years receiving at least one RA procedure. The data analyzed comprised demographics, surgical characteristics, RA techniques, guidance methods, and pharmacologic agents. Each RA procedure was considered an independent event, and patients were stratified into five age groups. RESULTS: Over the study period, 907 patients (6.0 [1.0; 12.0] years) underwent 1073 RA procedures: 894 peripheral blocks (83%) and 179 neuraxial blocks (17%). Peripheral blocks predominated in children >6 months (90%), while 59% of neuraxial RA were in infants <6 months. RA was conducted under general anesthesia in 90% of cases; awake spinal anesthesia in small infants comprised most neuraxial procedures. Ultrasound guidance was used in 98% of peripheral blocks, and pre-puncture scanning preceded 22% of neuraxial procedures. Clonidine was used as an adjuvant in >60% of cases. CONCLUSIONS: This single-center cohort reports one year of pediatric RA practice, characterized by high RA implementation rates. While ultrasound guidance was standard for peripheral blocks, pre-puncture scanning remains infrequently used for neuraxial techniques, highlighting a potential margin for improvement based on current practice. Results highlight selective neuraxial strategies in vulnerable infants and routine adjuvant use to optimize postoperative analgesia. Findings confirm RA feasibility in daily pediatric anesthesia and support multicenter studies evaluating inter-institutional variability and outcomes impact.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Chrystelle Sola, Julien Pico, Kevin Chapron, Sarah Jouan, Pierre Bournonville, Loic Rougerie, Laurent Hertz, Christophe Dadure. 2026-06-01. A one&#x2011;year snapshot of pediatric regional anesthesia at a French Tertiary University Hospital.. https://doi.org/10.1016/j.accpm.2026.101868

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

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans