1. Variation in Outcomes Associated With Blunt Splenic Injury Management.
- Author
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Bagdonas R, Caronia C, West MW, Rothburd L, Makehei S, Bagdonas B, Bubaris D, Fitzgerald K, Qandeel F, Drucker T, Reens H, Eckardt S, and Eckardt PA
- Abstract
Introduction The management of blunt splenic injury has evolved to include splenic artery embolization in addition to non-surgical management, and splenic surgery. Though research has been conducted examining outcomes between management approaches, the inferential findings are often limited by single-site study designs and small sample sizes. However, results from large-scale prior studies can inform inference if a non-frequentist (Bayesian) framework is used. Therefore, the purpose of this study was to examine mortality and length of stay associated with blunt splenic injury management using both frequentist and Bayesian methods. Methods A total of 56 patients presenting with blunt splenic injury were included in this retrospective, single-center, quantitative study from January 1, 2021 to December 31, 2022 to inform both methodological approaches. Findings from a national retrospective sample of 117,743 patients presenting with blunt splenic injury between 2007 and 2015 were included in the prior distribution for the Bayesian estimates to provide sufficient statistical power and improve internal validity and generalizability of findings. Results Mortality rates and hospital mean length of stay were not significantly different between blunt splenic injury management approaches of non-operative management (n=43), surgery (n=7), and splenic artery embolization (n=6) using a frequentist approach (9.3%, 0%, and 0%, P=.52; and 10.8 (15.8), 10.8 (4.7), and 4.6 (1.8), P=.86, respectively). Bayesian 95% highest density interval (HDI) estimates of the likelihood of mortality ([0.02; 0.18], [-6.4
e-23 ; 0.3], and [-2.2e-22 ; 0.3]) and hospital mean length of stay ([7.7; 8.3], [11.0; 12.3], and [8.7; 10.2]) provided reduced uncertainty in point and dispersion estimates. Conclusions The inclusion of findings from large high-quality studies provides increased certainty in estimates from smaller studies. Posterior estimates can inform predictive models for testing in future studies., Competing Interests: Human subjects: Consent for treatment and open access publication was obtained or waived by all participants in this study. Good Samaritan University Hospital Institutional Review Board issued approval IRB # 2023.06.06.06.07. Consent was obtained or waived by all participants in this study. Good Samaritan University Hospital Office of the IRB issued approval IRB#: 2023.06.06.06.07. As this research included experimentation on human subjects' data, this study was approved by our institution’s ethics committee, the Good Samaritan University Hospital Institutional Review Board (IRB # 2023.06.06.06.07), receiving an exempt category designation 45 CFR 46.104 Category 4(iii) (2018 Requirements) prior to conducting the research. This research was conducted according to established ethical guidelines, and informed consent was obtained from the participants according to the federal requirements described in 45 CFR 46.104. This research study complies with all regulations and informed consent was obtained as required by 45 CFR 46.104. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2025, Bagdonas et al.)- Published
- 2025
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