Background: Lower gastrointestinal (LGI) bleeding is a common medical problem associated with significant morbidity and mortality. Although most patients stop bleeding spontaneously without intervention and most do not re-bleed, a small number have massive haemorrhage that requires intervention to prevent shock and coagulopathy. Many choices are available in managing such patients. The clinician faces decisions regarding the timing and nature of investigations and treatment options. The aim of this study is to analyse the impact of a protocol to improve clinical practice in this area.
Methods: The protocol was based on a review of investigative patterns, and transfusion at the outset of the project. Length of stay, number of inpatient and outpatient colonoscopies, radiolabelled red blood cell (RBC) scans, blood transfusions, re-admissions, operations and deaths were compared for patients admitted prior to and following implementation of the protocol.
Results: The number of transfusions and RBC scans both significantly lessened after implementation of the protocol. There were no demonstrable adverse outcomes by way of mortality, length of stay and number of patients requiring operation, colonoscopies and re-admissions.
Conclusions: The implementation of a protocol to manage patients with LGI bleeding is matched by a significant reduction in use of hospital resources for these patients over the same time frame. Low morbidity and mortality outcome was maintained following introduction of the protocol.
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http://dx.doi.org/10.1111/j.1445-2197.2010.05603.x | DOI Listing |
J Clin Gastroenterol
February 2025
Swedish Medical Center, Seattle, WA.
Machine learning and its specialized forms, such as Artificial Neural Networks and Convolutional Neural Networks, are increasingly being used for detecting and managing gastrointestinal conditions. Recent advancements involve using Artificial Neural Network models to enhance predictive accuracy for severe lower gastrointestinal (LGI) bleeding outcomes, including the need for surgery. To this end, artificial intelligence (AI)-guided predictive models have shown promise in improving management outcomes.
View Article and Find Full Text PDFThromb Res
November 2024
Department of Cardiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 1608582, Japan. Electronic address:
Neurol Clin Pract
June 2024
Department of Neurology (XL, PG, KMS, MR, AZ, EPF, A. McKeon, SJP, JWB, DD); Department of Radiology (A. Madhavan); and Department of Pathology and Laboratory Medicine (AZ, EPF, A. McKeon, SJP, DD), Mayo Clinic, Rochester, MN.
Objectives: To study the frequency, causes, and consequences of seizure-related falls and near falls in LGI1-IgG autoimmune encephalitis.
Methods: We retrospectively reviewed 136 patients seen at Mayo Clinic with (1) LGI1-IgG seropositivity, (2) clinical phenotypes compatible with LGI1-IgG autoimmune encephalitis, and (3) falls or near falls related to seizures. The clinical documentation, MRI, and EEG data were collected and reviewed.
BMC Neurol
December 2023
Department of Neurology, Huai' an 82 hospital, Huaian, Jiangsu, China.
Background And Purpose: Multiple inflammatory biomarkers have been shown to predict symptomatic cerebral vasospasm (SCVS) and poor functional outcome in patients with aneurysmal subarachnoid hemorrhage. However, the impact of the low-grade inflammation (LGI) score, which can reflect the synergistic effects of five individual inflammatory biomarkers on SCVS and poor functional outcome on aneurysmal subarachnoid hemorrhage (aSAH), has not yet been well established. The aim of this study was to evaluate the impact of the LGI score on SCVS and poor functional outcome in aSAH patients.
View Article and Find Full Text PDFUnited European Gastroenterol J
November 2023
Department of Internal Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea.
Background: Several studies have suggested that the mucosal protective effects of proton pump inhibitors (PPIs) do not extend beyond the duodenum; however, PPIs may cause lower gastrointestinal (LGI) injury, although these relationships have not yet been fully elucidated.
Methods: We searched all the relevant studies published until September 2022 that examined the risk of PPIs for LGI bleeding. We performed a meta-analysis of the risk of LGI bleeding (small bowel (SB) or colorectal bleeding) between PPI users and non-users.
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