Acute Upper Non-variceal and Lower Gastrointestinal Bleeding

Left inferior phrenic arterial malformation mimicking gastric varices: A case report and review of literature

BACKGROUND

Gastric submucosal arterial dilation resulting from splenic artery occlusion represents an exceedingly rare etiology of acute upper gastrointestinal bleeding (UGIB). Although endoscopy is a widely utilized diagnostic and therapeutic modality for gastrointestinal bleeding, it has limitations in detecting arterial abnormalities.

CASE SUMMARY

This report presents a rare case of massive UGIB in a 57-year-old male with a tortuous left inferior phrenic artery accompanied by splenic artery occlusion. “Gastric varices” was identified during the patient's endoscopy one year before hemorrhage. Despite initial hemostasis by endoscopic clipping, the patient experienced massive rebleeding after one month, requiring intervention with transcatheter arterial embolization (TAE) to achieve hemostasis.

CONCLUSION

This is the first case to report UGIB due to a tortuous left inferior phrenic artery. This case highlights the limitations of endoscopy in identifying arterial abnormalities and emphasizes the potential of TAE as a viable alternative for the management of arterial bleeding in the gastrointestinal tract.

Early prognosis prediction for non-variceal upper gastrointestinal bleeding in the intensive care unit: based on interpretable machine learning

INTRODUCTION

This study aims to construct a mortality prediction model for patients with non-variceal upper gastrointestinal bleeding (NVUGIB) in the intensive care unit (ICU), employing advanced machine learning algorithms. The goal is to identify high-risk populations early, contributing to a deeper understanding of patients with NVUGIB in the ICU.

METHODS

We extracted NVUGIB data from the Medical Information Mart for Intensive Care IV (MIMIC-IV, v.2.2) database spanning from 2008 to 2019. Feature selection was conducted through LASSO regression, followed by training models using 11 machine learning methods. The best model was chosen based on the area under the curve (AUC). Subsequently, Shapley additive explanations (SHAP) was employed to elucidate how each factor influenced the model. Finally, a case was randomly selected, and the model was utilized to predict its mortality, demonstrating the practical application of the developed model.

RESULTS

In total, 2716 patients with NVUGIB were deemed eligible for participation. Following selection, 30 out of a total of 64 clinical parameters collected on day 1 after ICU admission remained associated with prognosis and were utilized for developing machine learning models. Among the 11 constructed models, the Gradient Boosting Decision Tree (GBDT) model demonstrated the best performance, achieving an AUC of 0.853 and an accuracy of 0.839 in the validation cohort. Feature importance analysis highlighted that shock, Glasgow Coma Scale (GCS), renal disease, age, albumin, and alanine aminotransferase (ALP) were the top six features of the GBDT model with the most significant impact. Furthermore, SHAP force analysis illustrated how the constructed model visualized the individualized prediction of death.

CONCLUSIONS

Patient data from the MIMIC database were leveraged to develop a robust prognostic model for patients with NVUGIB in the ICU. The analysis using SHAP also assisted clinicians in gaining a deeper understanding of the disease.

Predictive utility of the Rockall scoring system in patients suffering from acute nonvariceal upper gastrointestinal hemorrhage

BACKGROUND

Acute non-variceal upper gastrointestinal bleeding (ANVUGIB) represents a significant clinical challenge due to its unpredictability and potentially severe outcomes. The Rockall risk score has emerged as a critical tool for prognostic assessment in patients with ANVUGIB, aiding in the prediction of rebleeding and mortality. However, its applicability and accuracy in the Chinese population remain understudied.

AIM

To assess the prognostic value of the Rockall risk score in a Chinese cohort of patients with ANVUGIB.

METHODS

A retrospective analysis of 168 ANVUGIB patients' medical records was conducted. The study employed statistical tests, including the t-test, χ 2 test, spearman correlation, and receiver operating characteristic (ROC) analysis, to assess the relationship between the Rockall score and clinical outcomes, specifically focusing on rebleeding events within 3 months post-assessment.

RESULTS

Significant associations were found between the Rockall score and various clinical outcomes. High Rockall scores were significantly associated with rebleeding events (r = 0.735, R 2 = 0.541, P < 0.001) and strongly positively correlated with adverse outcomes. Low hemoglobin levels (t = 2.843, P = 0.005), high international normalized ratio (t = 3.710, P < 0.001), active bleeding during endoscopy (χ 2 = 7.950, P = 0.005), large ulcer size (t = 6.348, P < 0.001), and requiring blood transfusion (χ 2 = 6.381, P = 0.012) were all significantly associated with rebleeding events. Furthermore, differences in treatment and management strategies were identified between patients with and without rebleeding events. ROC analysis indicated the excellent discriminative power (sensitivity: 0.914; specificity: 0.816; area under the curve: 0.933; Youden index: 0.730) of the Rockall score in predicting rebleeding events within 3 months.

CONCLUSION

This study provides valuable insights into the prognostic value of the Rockall risk score for ANVUGIB in the Chinese population. The results underscore the potential of the Rockall score as an effective tool for risk stratification and prognostication, with implications for guiding risk-appropriate management strategies and optimizing care for patients with ANVUGIB.

Artificial Intelligence for Identification of Images with Active Bleeding in Mesenteric and Celiac Arteries Angiography

PURPOSE

The purpose of this study is to evaluate the efficacy of an artificial intelligence (AI) model designed to identify active bleeding in digital subtraction angiography images for upper gastrointestinal bleeding.

METHODS

Angiographic images were retrospectively collected from mesenteric and celiac artery embolization procedures performed between 2018 and 2022. This dataset included images showing both active bleeding and non-bleeding phases from the same patients. The images were labeled as normal versus images that contain active bleeding. A convolutional neural network was trained and validated to automatically classify the images. Algorithm performance was tested in terms of area under the curve, accuracy, sensitivity, specificity, F1 score, positive and negative predictive value.

RESULTS

The dataset included 587 pre-labeled images from 142 patients. Of these, 302 were labeled as normal angiogram and 285 as containing active bleeding. The model's performance on the validation cohort was area under the curve 85.0 ± 10.9% (standard deviation) and average classification accuracy 77.43 ± 4.9%. For Youden's index cutoff, sensitivity and specificity were 85.4 ± 9.4% and 81.2 ± 8.6%, respectively.

CONCLUSION

In this study, we explored the application of AI in mesenteric and celiac artery angiography for detecting active bleeding. The results of this study show the potential of an AI-based algorithm to accurately classify images with active bleeding. Further studies using a larger dataset are needed to improve accuracy and allow segmentation of the bleeding.

Artificial intelligence-assisted system for the assessment of Forrest classification of peptic ulcer bleeding: a multicenter diagnostic study

BACKGROUND

Inaccurate Forrest classification may significantly affect clinical outcomes, especially in high risk patients. Therefore, this study aimed to develop a real-time deep convolutional neural network (DCNN) system to assess the Forrest classification of peptic ulcer bleeding (PUB).

METHODS

A training dataset (3868 endoscopic images) and an internal validation dataset (834 images) were retrospectively collected from the 900th Hospital, Fuzhou, China. In addition, 521 images collected from four other hospitals were used for external validation. Finally, 46 endoscopic videos were prospectively collected to assess the real-time diagnostic performance of the DCNN system, whose diagnostic performance was also prospectively compared with that of three senior and three junior endoscopists.

RESULTS

The DCNN system had a satisfactory diagnostic performance in the assessment of Forrest classification, with an accuracy of 91.2% (95%CI 89.5%-92.6%) and a macro-average area under the receiver operating characteristic curve of 0.80 in the validation dataset. Moreover, the DCNN system could judge suspicious regions automatically using Forrest classification in real-time videos, with an accuracy of 92.0% (95%CI 80.8%-97.8%). The DCNN system showed more accurate and stable diagnostic performance than endoscopists in the prospective clinical comparison test. This system helped to slightly improve the diagnostic performance of senior endoscopists and considerably enhance that of junior endoscopists.

CONCLUSION

The DCNN system for the assessment of the Forrest classification of PUB showed satisfactory diagnostic performance, which was slightly superior to that of senior endoscopists. It could therefore effectively assist junior endoscopists in making such diagnoses during gastroscopy.

Occult Gastrointestinal Hemorrhage From a Meckel's Adenocarcinoma: A Diagnostic Dilemma

Gastrointestinal bleeding from Meckel's diverticulum can be challenging to diagnose. We present a case of a 78-year-old man with painless hematochezia. Despite undergoing standard investigations, the source of bleeding remained elusive until arteriography localized bleeding from Meckel's diverticulum. Prompt management involved embolization followed by laparoscopic resection. This case underscores the need to consider Meckel's diverticulum as a source of obscure gastrointestinal bleeding even in the elderly, as well as the need to use non-conventional diagnostic approaches when standard methods fail. The successful management of the case through embolization and laparoscopic resection highlights the crucial role interventional radiologists and surgeons play in the management of Meckel's diverticulum-related complications.

Gastrointestinal bleeding in children: diagnostic approach

Different conditions may underlie gastrointestinal bleeding (GIB) in children. The estimated prevalence of GIB in children is 6.4%, with spontaneous resolution in approximately 80% of cases. Nonetheless, the initial approach plays a pivotal role in determining the prognosis. The priority is the stabilization of hemodynamic status, followed by a systematic diagnostic approach. GIB can originate from either upper or lower gastrointestinal tract, leading to a broad differential diagnosis in infants and children. This includes benign and self-limiting disorders, alongside serious conditions necessitating immediate treatment. We performed a nonsystematic review of the literature, in order to describe the variety of conditions responsible for GIB in pediatric patients and to outline diagnostic pathways according to patients' age, suspected site of bleeding and type of bleeding which can help pediatricians in clinical practice. Diagnostic modalities may include esophagogastroduodenoscopy and colonoscopy, abdominal ultrasonography or computed tomography and, when necessary, magnetic resonance imaging. In this review, we critically assess these procedures, emphasizing their respective advantages and limitations concerning specific clinical scenarios.

Diagnosis and management of acute lower gastrointestinal bleeding

PURPOSE OF REVIEW

We review and summarize the most recent literature, including evidence-based guidelines, on the evaluation and management of acute lower gastrointestinal bleeding (LGIB).

RECENT FINDINGS

LGIB primarily presents in the elderly, often on the background of comorbidities, and constitutes a significant healthcare and economic burden worldwide. Therefore, acute LGIB requires rapid evaluation, informed decision-making, and evidence-based management decisions. LGIB management involves withholding and possibly reversing precipitating medications and concurrently addressing risk factors, with definitive diagnosis and therapy for the source of bleeding usually performed by endoscopic or radiological means. Recent advancements in LGIB diagnosis and management, including risk stratification tools and novel endoscopic therapeutic techniques have improved LGIB management and patient outcomes. In recent years, the various society guidelines on acute lower gastrointestinal bleeding have been revised and updated accordingly.

SUMMARY

By integrating the most recently published high-quality clinical studies and society guidelines, we provide clinicians with an up-to-date and comprehensive overview on acute LGIB diagnosis and management.

Development of a model for predicting acute cerebral infarction induced by non-variceal upper gastrointestinal bleeding

OBJECTIVE

To evaluate the risk factors for acute cerebral infarction(ACI) in patients with non-variceal upper gastrointestinal bleeding(NVUGIB), and construct a model for predicting ACI in NVUGIB patients.

METHODS

A model for predicting ACI induced by NVUGIB was established on the basis of a retrospective study that involved 1282 patients who were diagnosed with NVUGIB in the emergency department and Gastroenterology Department of Nanchang University Affiliated Ganzhou Hospital from January 2019 to December 2021. Receiver operating characteristic (ROC) curves were drawn to evaluate the sensitivity and specificity of the model and CHA2DS2-VASc score to predict ACI. Delong's test was used to compare AUCs of the present score and the CHA2DS2-VASc score.

RESULTS

There were 1282 patients enrolled in the study, including 69 in the ACI group and 1213 in the non-ACI group. Multivariate analysis revealed that hypertension, diabetes, red blood cell (RBC) transfusion, mechanical ventilation, D-dimer, rate pressure product (RPP), somatostatin and mean platelet volume (MPV) were factors associated with ACI induced by NVUGIB. A model based on the eight factors was established, Logit(P)= 0.265 + 1.382 × 1 + 1.120 × 2 + 1.769 × 3 + 0.839 × 4-1.549 × 5-0.361 × 6 + 0.045 × 7 + 1.158 × 8(or 1.069 ×9) (X1, hypertension=1; X2, diabetes=1; X3, RBC transfusion=1; X4, mechanical ventilation=1; X5, somatostatin=1; X6, MPV(fL); X7, D-dimer(ng/l); X8, low RPP= 1; X9, high RPP = 2). The area under ROC curve of the model was 0.873, the sensitivity and specificity were 0.768 and 0.887, respectively. The area under ROC curve of CHA2DS2-VASc score was 0.792, the sensitivity and specificity were 0.728 and 0.716, respectively. Delong's test showed the area under ROC curve of the present study was significantly larger than that of CHA2DS2-VASc score.

CONCLUSIONS

Hypertension, diabetes, RBC transfusion, mechanical ventilation, D-dimer, RPP, somatostatin and MPV were factors associated with ACI induced by NVUGIB. A model constructed based on these factors showed excellent prediction of ACI, and was superior to CHA2DS2-VASc score. However, this needs to be further validated by multi-center study with a larger sample size.

A nomogram to predict in-hospital mortality of gastrointestinal bleeding patients in the intensive care unit

Background

Gastrointestinal bleeding (GIB) is a common condition in clinical practice, and predictive models for patients with GIB have been developed. However, assessments of in-hospital mortality due to GIB in the intensive care unit (ICU), especially in critically ill patients, are still lacking. This study was designed to screen out independent predictive factors affecting in-hospital mortality and thus establish a predictive model for clinical use.

Methods

This retrospective study included 1,442 patients with GIB who had been admitted to the ICU. They were selected from the Medical Information Mart for Intensive Care IV (MIMIC-IV) 1.0 database and divided into a training group and a validation group in a ratio of 7:3. The main outcome measure was in-hospital mortality. Least absolute shrinkage and section operator (LASSO) regression was used to screen out independent predictors and create a nomogram.

Results

LASSO regression picked out nine independent predictors: heart rate (HR), activated partial thromboplastin time (aPTT), acute physiology score III (APSIII), sequential organ failure assessment (SOFA), cerebrovascular disease, acute kidney injury (AKI), norepinephrine, vasopressin, and dopamine. Our model proved to have excellent predictive value with regard to in-hospital mortality (the area under the receiver operating characteristic curve was 0.906 and 0.881 in the training and validation groups, respectively), as well as a good outcome on a decision curve analysis to assess net benefit.

Conclusion

Our model effectively predicts in-hospital mortality in patients with GIB, indicating that it may prove to be a valuable tool in future clinical practice.

Endoscopic Image 2 Hours after PuraStat® Application: A Case of Achieving Hemostasis Using PuraStat® for Postgastric Lesion Biopsy Bleeding after Hemostatic Clips Failed

PuraStat® (3D Matrix, Tokyo, Japan) is a novel, self-assembling peptide hemostatic hydrogel that can be used endoscopically. Hemostasis can be physically obtained by covering bleeding points; however, there are no reports of how long PuraStat remains in the upper gastrointestinal tract. Herein, we report a case wherein esophagogastroduodenoscopy (EGD) was performed 2 hours after PuraStat application. A 73-year-old man underwent EGD for evaluation of lesions in the posterior wall of the stomach. A biopsy was then performed on the gastric lesions; however, massive bleeding occurred. A hemostatic clip was used to stop bleeding but failed; primary hemostasis was obtained by applying PuraStat. EGD performed 2 hours later to determine whether the patient could be discharged revealed that the white-turning PuraStat gel remained firmly in the applied area, confirming complete hemostasis. PuraStat is a hemostatic agent capable of physical hemostasis that reliably remains in the stomach even after a few hours of use and, thus, may replace some conventional hemostasis methods.

Position statement from the Indian Society of Gastroenterology, Cardiological Society of India, Indian Academy of Neurology and Vascular Society of India on gastrointestinal bleeding and endoscopic procedures in patients on antiplatelet and/or anticoagulant therapy

Antiplatelet and/or anticoagulant agents (collectively known as antithrombotic agents) are used to reduce the risk of thromboembolic events in patients with conditions such as atrial fibrillation, acute coronary syndrome, recurrent stroke prevention, deep vein thrombosis, hypercoagulable states and endoprostheses. Antithrombotic-associated gastrointestinal (GI) bleeding is an increasing burden due to the growing population of advanced age with multiple comorbidities and the expanding indications for the use of antiplatelet agents and anticoagulants. GI bleeding in antithrombotic users is associated with an increase in short-term and long-term mortality. In addition, in recent decades, there has been an exponential increase in the use of diagnostic and therapeutic GI endoscopic procedures. Since endoscopic procedures hold an inherent risk of bleeding that depends on the type of endoscopy and patients' comorbidities, in patients already on antithrombotic therapies, the risk of procedure-related bleeding is further increased. Interrupting or modifying doses of these agents prior to any invasive procedures put these patients at increased risk of thromboembolic events. Although many international GI societies have published guidelines for the management of antithrombotic agents during an event of GI bleeding and during urgent and elective endoscopic procedures, no Indian guidelines exist that cater to Indian gastroenterologists and their patients. In this regard, the Indian Society of Gastroenterology (ISG), in association with the Cardiological Society of India (CSI), Indian Academy of Neurology (IAN) and Vascular Society of India (VSI), have developed a "Guidance Document" for the management of antithrombotic agents during an event of GI bleeding and during urgent and elective endoscopic procedures.

Endoscopic cyanoacrylate injection therapy for refractory high-risk peptic ulcer bleeding by conventional endoscopic therapy

OBJECTIVE

To evaluate the efficacy and safety of endoscopic cyanoacrylate injection therapy for refractory high-risk peptic ulcer bleeding by conventional endoscopic therapy.

METHODS

154 patients with refractory high-risk peptic ulcer bleeding by conventional endoscopic therapy at the Affiliated Hospital of Zunyi Medical Univesity and the People's Hospital of Liupanshui City from January 2018 to December 2021were enrolled in this study. Endoscopic intracellular cyanoacrylate injection was first carried out. When failure, perintravascullar injection was carried out. The data were retrospectively collected.

RESULTS

Among the 154 patients, 102 patients (66.23%) obtained successful intravascular injection and perivascular injection was performed in 52 patients (33.77%). Immediate hemostatic rate for active bleeding achieved 93.18%. Overall rebleeding rate within 30 days was 12.99% and successful hemostasis rate achieved 87.01%. Immediate hemostatic rate and successful hemostasis rate in intravascular injection patients were markedly superior over perivascular injection. Rebleeding rate in intravascular injection patients was markedly lower than that in perivascular injection patients. 14 patients complicated abdominal pain and no other complication occurred.

CONCLUSION

Endoscopic cyanoacrylate injection therapy, especial intravascular injection, was effective and safe, with high successful hemostasis rate for refractory high-risk peptic ulcer bleeding by conventional endoscopic therapy.

Predicting mortality in patients with nonvariceal upper gastrointestinal bleeding using machine-learning

Background

Non-endoscopic risk scores, Glasgow Blatchford (GBS) and admission Rockall (Rock), are limited by poor specificity. The aim of this study was to develop an Artificial Neural Network (ANN) for the non-endoscopic triage of nonvariceal upper gastrointestinal bleeding (NVUGIB), with mortality as a primary outcome.

Methods

Four machine learning algorithms, namely, Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), logistic regression (LR), K-Nearest Neighbor (K-NN), were performed with GBS, Rock, Beylor Bleeding score (BBS), AIM65, and T-score.

Results

A total of 1,096 NVUGIB hospitalized in the Gastroenterology Department of the County Clinical Emergency Hospital of Craiova, Romania, randomly divided into training and testing groups, were included retrospectively in our study. The machine learning models were more accurate at identifying patients who met the endpoint of mortality than any of the existing risk scores. AIM65 was the most important score in the detection of whether a NVUGIB would die or not, whereas BBS had no influence on this. Also, the greater AIM65 and GBS, and the lower Rock and T-score, the higher mortality will be.

Conclusion

The best accuracy was obtained by the hyperparameter-tuned K-NN classifier (98%), giving the highest precision and recall on the training and testing datasets among all developed models, showing that machine learning can accurately predict mortality in patients with NVUGIB.

Manifestations of the gastrointestinal tract in systemic rheumatic diseases: A narrative review

Gastrointestinal disorders are important place among the visceral manifestations of systemic autoimmune and immunoinflammatory rheumatic diseases (RD). Pathology of the esophagus, stomach, small and large intestine can vary from moderate functional disorders to the development of severe chronic inflammation with metaplasia and dysplasia of the mucous membrane, the formation of multiple erosions, hemorrhages and deep ulcers. Complications of gastrointestinal pathology in RD, such as bleeding, perforations and strictures, can cause death. This review examines the main clinical manifestations, possibilities of diagnosis and treatment of gastrointestinal lesions in systemic scleroderma, idiopathic inflammatory myopathies, systemic vasculitis, Sjogren’s syndrome and disease, as well as systemic lupus erythematosus.