Impact of technology-based devices on the first-attempt PIVC success
Abstract:
Introduction: Previous studies have compared various technology-based devices, such as ultrasonography (USG), near-infrared (NIR), and transilluminator (TI), with standard care (SC) to facilitate peripheral intravenous cannulation (PIVC) in pediatric patients. This study aims to investigate the efficacy of these interventions on the first-attempt success rate (FASR) of PIVC in pediatric patients with difficult intravenous access (DIVA) using network meta-analysis (NMA).
Methods: We conducted a comprehensive literature search in databases to identify randomized clinical trials comparing the effects of different devices on the FASR of PIVC from inception until August 2023. Pooled relative risks with 95% credible intervals were estimated using pairwise and network meta-analysis with random effects. To rank the efficacy of devices, we calculated the probabilities of the surface under the cumulative ranking curve (SUCRA).
Results: A total of 18 studies were included in the final analysis. The results of pairwise meta-analysis showed that the use of devices increased the FASR for PIVC by 13% (RR: 1.13, 95% CI: [0.98, 1.30]) compared to SC. The ranking of interventions based on efficacy from highest to lowest was as follows: USG (SUCRA: 1), NIR (SUCRA: 0.6), SC (SUCRA: 0.3), and TI (SUCRA: 0.1), with a very low confidence estimate.
Conclusion: Based on our findings, the prioritization of device usage to increase the FASR of PIVC in pediatric patients with DIVA is as follows: USG, NIR, SC, and TI, respectively. However, due to inconsistencies in the network, existence of an overall high risk of bias in the included studies, and very low confidence estimate, further clinical trials are required.
Reference:
Hosseini SJ, Firooz M, Yazdi K, Abdollahi M, Hosseini SR, Ramezani M. The efficacy of technology-based devices on the first-attempt success rate for difficult intravenous access in pediatrics: A systematic review and network meta-analysis. J Vasc Access. 2024 Jun 17:11297298241259843. doi: 10.1177/11297298241259843. Epub ahead of print. PMID: 38884338.