Purpose: The implementation of enhanced recovery after surgery programs (ERPs) has significantly improved outcomes within various surgical specialties. However, the suitability of ERPs in trauma surgery remains unclear. This study aimed to (1) design and implement an ERP for trauma laparotomy patients; (2) assess its safety, feasibility, and efficacy; and (3) compare the outcomes of the proposed ERP with conventional practices.

Methods: This case-matched study prospectively enrolled hemodynamically stable patients undergoing emergency laparotomy after penetrating trauma. Patients receiving the proposed ERP were compared to historical controls who had received conventional treatment from two to eight years prior to protocol implementation. Cases were matched for age, sex, injury mechanism, extra-abdominal injuries, and trauma scores. Assessment of intervention effects were modelled using regression analysis for outcome measures, including length of hospital stay (LOS), postoperative complications, and functional recovery parameters.

Results: Thirty-six consecutive patients were enrolled in the proposed ERP and matched to their 36 historical counterparts, totaling 72 participants. A statistically significant decrease in LOS, representing a 39% improvement in average LOS was observed. There was no difference in the incidence of postoperative complications. Opioid consumption was considerably lower in the ERP group (p < 0.010). Time to resumption of oral liquid and solid intake, as well as to the removal of nasogastric tubes, urinary catheters, and abdominal drains was significantly earlier among ERP patients (p < 0.001).

Conclusion: The implementation of a standardized ERP for the perioperative care of penetrating abdominal trauma patients yielded a significant reduction in LOS without increasing postoperative complications. These findings demonstrate that ERPs principles can be safely applied to selected trauma patients.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00068-024-02577-wDOI Listing

Publication Analysis

Top Keywords

proposed erp
12
enhanced recovery
8
emergency laparotomy
8
laparotomy penetrating
8
case-matched study
8
postoperative complications
8
trauma
5
erp
5
applying enhanced
4
recovery principles
4

Similar Publications

Enhancing the performance of SSVEP-based BCIs by combining task-related component analysis and deep neural network.

Sci Rep

January 2025

Department of Biomedical Engineering, School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China.

Steady-State Visually Evoked Potential (SSVEP) signals can be decoded by either a traditional machine learning algorithm or a deep learning network. Combining the two methods is expected to enhance the performance of an SSVEP-based brain-computer interface (BCI) by exploiting their advantages. However, an efficient strategy for integrating the two methods has not yet been established.

View Article and Find Full Text PDF

Measuring transient functional connectivity is an important challenge in electroencephalogram (EEG) research. Here, the rich potential for insightful, discriminative information of brain activity offered by high-temporal resolution is confounded by the inherent noise of the medium and the spurious nature of correlations computed over short temporal windows. We propose a methodology to overcome these problems called filter average short-term (FAST) functional connectivity.

View Article and Find Full Text PDF

A spatially constrained independent component analysis jointly informed by structural and functional network connectivity.

Netw Neurosci

December 2024

Tri-institute Translational Research in Neuroimaging and Data Science (TReNDS Center), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.

There are a growing number of neuroimaging studies motivating joint structural and functional brain connectivity. The brain connectivity of different modalities provides an insight into brain functional organization by leveraging complementary information, especially for brain disorders such as schizophrenia. In this paper, we propose a multimodal independent component analysis (ICA) model that utilizes information from both structural and functional brain connectivity guided by spatial maps to estimate intrinsic connectivity networks (ICNs).

View Article and Find Full Text PDF
Article Synopsis
  • The Phonological Mismatch Negativity (PMN) is a brain response indicating how the brain processes phonological (speech sound) information, particularly when there's a violation of expected phonemes.
  • In a study, participants listened to three-syllable words and three-note tunes, focusing either on the language or music, and were tested for their reactions when the first sounds mismatched what they expected.
  • Results showed the PMN only occurred with phoneme mismatches and not with musical mismatches, suggesting it might be specifically sensitive to language, but further investigation is needed to clarify its relationship with other brain responses like the N400.
View Article and Find Full Text PDF

Mental imagery is a crucial cognitive process, yet its underlying neural mechanisms remain less understood compared to perception. Furthermore, within the realm of mental imagery, the somatosensory domain is particularly underexplored compared to other sensory modalities. This study aims to investigate the influence of tactile imagery (TI) on cortical somatosensory processing.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!