Diagnostic Accuracy of Rapid Ultrasound in Shock (RUSH) Exam; A Systematic Review and Meta-analysis

Mojtaba Keikha, Mohammad Salehi-Marzijarani, Reihane Soldoozi Nejat, Hojat Sheikh Motahar Vahedi, Seyed Mohammad Mirrezaie, Mojtaba Keikha, Mohammad Salehi-Marzijarani, Reihane Soldoozi Nejat, Hojat Sheikh Motahar Vahedi, Seyed Mohammad Mirrezaie

Abstract

Objective: To perform a diagnostic accuracy of the rapid ultrasound in shock (RUSH) to diagnose the etiology of undifferentiated shock in patients presenting to the emergency department (ED).

Methods: We searched the Medline via PubMed, Scopus, and ISI Web of Knowledge till July 2017. Two independent reviewers screened studies for eligibility. Our study analysis is planned in accordance with the guidelines for meta-analysis of diagnostic studies. In the systematic search, of 397 references, 295 were excluded on the basis of the title and abstract. For the remaining 102 articles, the full text was retrieved and critically reviewed. After the selection process, five papers were included.

Results: The pooled estimate of all data showed that the RUSH protocol exhibited high sensitivity (0.87, 95% Confidence Interval (CI): 0.80-0.92, I2 = 46.7%) and specificity (0.98, 95% C. I.: 0.96-0.99, I2 = 30.8%). The AUC for SROC, a global measure of the RUSH protocol performance, was 0.98 ± 0.01, indicates the high accuracy of the test. Positive and negative likelihood ratios reported from the studies ranged from 9.83 to 51.32 and 0.04 to 0.33, respectively. The pooled estimate of all data showed that the RUSH protocol exhibited high positive likelihood ratio (19.19, 95% C. I.: 11.49-32.06, I2 = 14.1%) and low negative likelihood ratio (0.23, 95% C. I.: 0.15-0.34, I2 = 18.4%).

Conclusion: This meta-analysis suggests that RUSH protocol has generally good role to distinguish the states of shock in patients with undifferentiated shock referred to the emergency department.

Keywords: RUSH exam; Rapid ultrasound; Shock; Shock examination; Ultrasonography.

Figures

Fig.1
Fig.1
Literature search and flowchart for selection of primary study
Fig. 2
Fig. 2
Summary receiver operating characteristic (SROC) curves for accuracy of rapid ultrasound in shock
Fig. 3
Fig. 3
Deeks’ funnel plot for detecting publication bias

References

    1. Wacker DA, Winters ME. Shock. Emerg Med Clin North Am. 2014;32(4):747–58.
    1. Wongwaisayawan S, Suwannanon R, Prachanukool T, Sricharoen P, Saksobhavivat N, Kaewlai R. Trauma Ultrasound. Ultrasound Med Biol. 2015;41(10):2543–61.
    1. Volpicelli G, Lamorte A, Tullio M, Cardinale L, Giraudo M, Stefanone V, et al. Point-of-care multiorgan ultrasonography for the evaluation of undifferentiated hypotension in the emergency department. Intensive Care Med. 2013;39(7):1290–8.
    1. Gaieski DF, Mikkelsen M. UpToDate (Internet) 2017. Definition, classification, etiology, and pathophysiology of shock in adults. U: UpToDate. Parson PE ur., finlay G. ur. ; pp. 2–150.
    1. Peterson D, Arntfield RT. Critical care ultrasonography. Emerg Med Clin North Am. 2014;32(4):907–26.
    1. Deville WL, Buntinx F, Bouter LM, Montori VM, de Vet HC, van der Windt DA, et al. Conducting systematic reviews of diagnostic studies: didactic guidelines. BMC Med Res Methodol. 2002;2:9.
    1. Jones CM, Athanasiou T. Summary receiver operating characteristic curve analysis techniques in the evaluation of diagnostic tests. Ann Thorac Surg. 2005;79(1):16–20.
    1. Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539–58.
    1. Deeks JJ, Macaskill P, Irwig L. The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. J Clin Epidemiol. 2005;58(9):882–93.
    1. van Enst WA, Ochodo E, Scholten RJ, Hooft L, Leeflang MM. Investigation of publication bias in meta-analyses of diagnostic test accuracy: a meta-epidemiological study. BMC Med Res Methodol. 2014;14:70.
    1. Zamora J, Abraira V, Muriel A, Khan K, Coomarasamy A. Meta-DiSc: a software for meta-analysis of test accuracy data. BMC Med Res Methodol. 2006;6:31.
    1. Dwamena B. MIDAS: Stata module for meta-analytical integration of diagnostic test accuracy studies. Statistical Software Components; 2009.
    1. Jammal M, Milano P, Cardenas R, Mailhot T, Mandavia D, Perera P. The diagnosis of right heart thrombus by focused cardiac ultrasound in a critically ill patient in compensated shock. Crit Ultrasound J. 2015;7:6.
    1. Bagheri-Hariri S, Yekesadat M, Farahmand S, Arbab M, Sedaghat M, Shahlafar N, et al. The impact of using RUSH protocol for diagnosing the type of unknown shock in the emergency department. Emerg Radiol. 2015;22(5):517–20.

Source: PubMed

3
订阅