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      Intervention Effect of Evidence-Based Nursing on Postoperative Recovery of Vacuum Sealing Drainage in Patients with High Perianal Abscess with Magnetic Resonance Imaging Sequence Images

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      Author(s): , , ,
      Publication date (Electronic):
      Journal: Computational Intelligence and Neuroscience
      Publisher: Hindawi

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          Abstract

          The purpose of this study was to evaluate the intervention effect of evidence-based nursing (EBN) on vacuum sealing drainage (VSD) recovery of patients with high perianal abscess after vacuum sealing drainage based on magnetic resonance imaging (MRI) sequence images. 60 patients with high perianal abscess were selected, and 30 patients before VSD were selected as the control group. Routine nursing was implemented in the control group, 30 patients after VSD were observed, and EBN was implemented in the observation group. The detection rates of various types of perianal abscess with different sequence combinations were studied, and the effects of EBN on pain and anal function scores of perianal abscess patients were analyzed. Anal function and defecation were assessed, and postoperative complications were calculated. Different combinations of MRI sequences can reach higher detection rates of intersphincter abscess and ischial anal abscess. The observation group had better pain relief and anal function recovery. The complication rate of the observation group was 16.67%, which was significantly lower than that of the control group ( P < 0.05). It was confirmed that different MRI sequence combinations had higher detection rates for intersphincter abscess and ischial fossa abscess. EBN can promote the recovery of anal function and reduce complications in patients with perianal abscess.

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          The Role of Blood Biomarkers for Magnetic Resonance Imaging Diagnosis of Traumatic Brain Injury

          John Yue, Pavan S Upadhyayula, Lauro Avalos … (2020)
          Background and Objectives: The annual global incidence of traumatic brain injury (TBI) is over 10 million. An estimated 29% of TBI patients with negative computed tomography (CT−) have positive magnetic resonance imaging (MRI+) findings. Judicious use of serum biomarkers with MRI may aid in diagnosis of CT-occult TBI. The current manuscript aimed to evaluate the diagnostic, therapeutic and risk-stratification utility of known biomarkers and intracranial MRI pathology. Materials and Methods: The PubMed database was queried with keywords (plasma OR serum) AND (biomarker OR marker OR protein) AND (brain injury/trauma OR head injury/trauma OR concussion) AND (magnetic resonance imaging/MRI) (title/abstract) in English. Seventeen articles on TBI biomarkers and MRI were included: S100 calcium-binding protein B (S100B; N = 6), glial fibrillary acidic protein (GFAP; N = 3), GFAP/ubiquitin carboxyl-terminal hydrolase-L1 (UCH-L1; N = 2), Tau (N = 2), neurofilament-light (NF-L; N = 2), alpha-synuclein (N = 1), and alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor peptide (AMPAR; N = 1). Results: Acute GFAP distinguished CT−/MRI+ from CT−/MRI− (AUC = 0.777, 0.852 at 9–16 h). GFAP discriminated CT−/diffuse axonal injury (DAI+) from controls (AUC = 0.903). Tau correlated directly with number of head strikes and inversely with white matter fractional anisotropy (FA), and a cutoff > 1.5 pg/mL discriminated between DAI+ and DAI− (sensitivity = 74%/specificity = 69%). NF-L had 100% discrimination of DAI in severe TBI and correlated with FA. Low alpha-synuclein was associated with poorer functional connectivity. AMPAR cutoff > 0.4 ng/mL had a sensitivity of 91% and a specificity of 92% for concussion and was associated with minor MRI findings. Low/undetectable S100B had a high negative predictive value for CT/MRI pathology. UCH-L1 showed no notable correlations with MRI. Conclusions: An acute circulating biomarker capable of discriminating intracranial MRI abnormalities is critical to establishing diagnosis for CT-occult TBI and can triage patients who may benefit from outpatient MRI, surveillance and/or follow up with TBI specialists. GFAP has shown diagnostic potential for MRI findings such as DAI and awaits further validation. Tau shows promise in detecting DAI and disrupted functional connectivity. Candidate biomarkers should be evaluated within the context of analytical performance of the assays used, as well as the post-injury timeframe for blood collection relative to MRI abnormalities.
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            Effects of an evidence-based nursing intervention on neurological function and serum inflammatory cytokines in patients with acute cerebral infarction: A randomized controlled trial.

            Yaping Liu, Mingwei Qu, Nan Wang … (2021)
            Acute cerebral infarction is a clinically common and critical disease which seriously endangers the life and safety of elderly patients. Evidence-based nursing is an effective way of nursing and has great significance in improving the neurological function and quality of life of patients. In China, evidence-based nursing has been highlighted and highly developed in recent decades.
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              Vacuum sealing drainage with instillation in the treatment of necrotising soft-tissue infection: a retrospective analysis.

              Hongjie Duan, Yanqi He, Hengbo Zhang … (2020)
              Necrotising soft-tissue infection is a rare but life-threatening infectious disease with high morbidity and mortality. It is typically caused by toxin-producing bacteria and characterised clinically by a very rapid progression of the disease with significant local tissue destruction. In this study, we intend to explore effective wound management to control the invasive infection and to decrease the high mortality.
              Article 0 comments Cited 10 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Xianghong Zhong:
                ORCID: https://orcid.org/0000-0003-4661-5134
                Journal
                Journal ID (nlm-ta): Comput Intell Neurosci
                Journal ID (iso-abbrev): Comput Intell Neurosci
                Journal ID (publisher-id): cin
                Title: Computational Intelligence and Neuroscience
                Publisher: Hindawi
                ISSN (Print): 1687-5265
                ISSN (Electronic): 1687-5273
                Publication date Collection: 2022
                Publication date (Electronic): 24 June 2022
                Volume: 2022
                Electronic Location Identifier: 1405134
                Affiliations
                Department of Anorectal surgery, Chenzhou First People's Hospital, Chenzhou 423000, Hunan, China
                Author notes

                Academic Editor: Arpit Bhardwaj

                Author information
                https://orcid.org/0000-0001-6905-2077
                https://orcid.org/0000-0002-1739-2886
                https://orcid.org/0000-0002-8612-5853
                https://orcid.org/0000-0003-4661-5134
                Article
                DOI: 10.1155/2022/1405134
                PMC ID: 9249463
                PubMed ID: 35785101
                SO-VID: a1cf5a6a-604d-419f-bc60-db3c4720d3c6
                Copyright © Copyright © 2022 Xiaoxia Chen et al.
                License:

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Date received : 23 March 2022
                Date revision received : 6 May 2022
                Date accepted : 31 May 2022
                Funding
                Funded by: Chenzhou Municipal Science and Technology Bureau
                Award ID: lcyl2021062
                Categories
                Subject: Research Article

                ScienceOpen disciplines: Neurosciences
                Data availability:
                ScienceOpen disciplines: Neurosciences

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