PubMed HealthSearch

PubMed · 42304663

The analgesic efficacy of intrathecal morphine compared to peripheral regional analgesia in total hip arthroplasty: A systematic review and meta-analysis.

Abstract

BACKGROUND: Following elective total hip arthroplasty, pain continues to be a significant problem. Intrathecal morphine or peripheral regional analgesia, that is local infiltration analgesia or peripheral nerve block, are common analgesic modalities, but it is still not known which is superior. DESIGN: Systematic review and meta-analysis of randomised controlled trials. DATA SOURCES: The following electronic databases were searched from inception to 24 March 2026: CENTRAL; Ovid Embase; Ovid MEDLINE; Scopus; and Web of Science. ELIGIBILITY CRITERIA: Randomised controlled trials that compared intrathecal morphine to peripheral regional analgesia in patients scheduled for elective total hip arthroplasty under general or spinal anaesthesia. RESULTS: Eight trials and 471 patients were included. The peripheral regional analgesia was peripheral nerve block in six trials and local infiltration analgesia in two trials. No difference was demonstrated between intrathecal morphine and peripheral regional analgesia in regard to the first coprimary outcome, the pain score at rest at 24 h. The quality of evidence was moderate. Intrathecal morphine was found to be superior to peripheral regional analgesia with respect to the second coprimary outcome, the cumulative intravenous morphine equivalent consumption at 24 h. Mean difference (95% CI) was 11.38 mg (4.31-18.45; P  = 0.002, I2  = 81%). The quality of evidence was low. Intrathecal morphine was revealed to be superior to peripheral regional analgesia at 8-12 h for the pain score at rest, 1.24 (0.60-1.88); P  = 0.0001, I2  = 68%; pain score on movement, 1.15 (0.12-2.17), P  = 0.03, I2  = 65%; but the rate of in hospital pruritus was reduced with peripheral regional analgesia, 0.31 (0.17-0.58), P  = 0.0002, I2  = 0%. No differences in functional status were shown. CONCLUSIONS: We found no difference between intrathecal morphine and peripheral regional analgesia in regard to pain score at rest at 24 h. Intrathecal morphine may lead to a favourable effect on some but not all analgesic indices compared to peripheral regional analgesia in elective total hip arthroplasty. The quality of evidence for these positive effects was low. Intrathecal morphine reduced the systemic opioid consumption, but is not in itself an opioid free strategy. This notion is supported by the increased incidence of in hospital pruritus with intrathecal morphine. The quality of evidence for this was high. In view of the quality of evidence, high quality randomised controlled trials are required to substantiate these results.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Neel Desai, Eric Albrecht, Sina Grape. 2026-06-17. The analgesic efficacy of intrathecal morphine compared to peripheral regional analgesia in total hip arthroplasty: A systematic review and meta-analysis.. https://doi.org/10.1097/eja.0000000000002436

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