Remimazolam for sedation in gastrointestinal endoscopy: A comprehensive review.

Worldwide, a majority of routine endoscopic procedures are performed under some form of sedation to maximize patient comfort. Propofol, benzodiazepines and opioids continue to be widely used. However, in recent years, Remimazolam is gaining immense popularity for procedural sedation in gastrointestinal (GI) endoscopy. It is an ultra-short-acting benzodiazepine sedative which was approved by the Food and Drug Administration in July 2020 for use in procedural sedation. Remimazolam has shown a favorable pharmacokinetic and pharmacodynamic profile in terms of its non-specific metabolism by tissue esterase, volume of distribution, total body clearance, and negligible drug-drug interactions. It also has satisfactory efficacy and has achieved high rates of successful sedation in GI endoscopy. Furthermore, studies have demonstrated that the efficacy of Remimazolam is non-inferior to Propofol, which is currently a gold standard for procedural sedation in most parts of the world. However, the use of Propofol is associated with hemodynamic instability and respiratory depression. In contrast, Remimazolam has lower incidence of these adverse effects intra-procedurally and hence, may provide a safer alternative to Propofol in procedural sedation. In this comprehensive narrative review, highlight the pharmacologic characteristics, efficacy, and safety of Remimazolam for procedural sedation. We also discuss the potential of Remimazolam as a suitable alternative and how it can shape the future of procedural sedation in gastroenterology.

Systematic review of machine learning models in predicting the risk of bleed/grade of esophageal varices in patients with liver cirrhosis: A comprehensive methodological analysis.

Esophageal varices (EV) in liver cirrhosis carry high mortality risks. Traditional endoscopy, which is costly and subjective, prompts a shift towards machine learning (ML). This review critically evaluates ML applications in predicting bleeding risks and grading EV in patients with liver cirrhosis. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we conducted a systematic review of studies using ML to predict the risk of variceal bleeding and/or grade EV in liver disease patients. Data extraction and bias assessment followed the CHARMS (CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modeling Studies) checklist and PROBAST (Prediction model Risk Of Bias Assessment Tool) tool, respectively. Due to the heterogeneity of the study, a meta-analysis was not feasible; instead, descriptive statistics summarized the findings. Twelve studies were included, highlighting the use of various ML models such as extreme gradient boosting, artificial neural networks, and convolutional neural networks. These studies demonstrated high predictive accuracy, with some models achieving area under the curve values above 99%. However, significant heterogeneity was noted in input variables, methodologies, and outcome measures. Moreover, a substantial portion of the studies exhibited unclear or high risk of bias, mainly due to insufficient participant numbers, unclear handling of missing data, and a lack of detailed reporting on endoscopic procedures. ML models show significant promise in predicting the risk of variceal bleeding and grading EV in patients with cirrhosis, potentially reducing the need for invasive procedures. Nonetheless, the current literature reveals considerable heterogeneity and methodological limitations, including high or unclear risks of bias. Future research should focus on larger, prospective trials and the standardization of ML assessment criteria to confirm these models' practical utility in clinical settings.

Beyond the Diagnosis: A Deep Dive Into the End Stage Liver Disease Experience From the Patient Perspective.

INTRODUCTION: End-stage liver disease (ESLD) presents a multifaceted challenge that encompasses not only physical but also emotional, psychological, and social dimensions. This study aims to explore the experiences of ESLD patients within the United States healthcare system. METHODS: Utilizing a convenience sampling methodology, 15 ESLD patients from a tertiary care hospital in the USA participated in semi-structured interviews between April 2023 and January 2024. Data analysis was conducted using MAXQDA 2023, employing a phenomenological approach to identify common themes. RESULTS: The study identified six primary themes: the significance of communication style in diagnosis delivery, the crucial role of family and social support, varied understanding and preferences for palliative care, diverse attitudes towards advanced care planning, preferences for coordinated healthcare experiences, and the emotional and psychological impact of ESLD. CONCLUSION: Our study underscores the complexity of ESLD patient care beyond medical treatment, highlighting the importance of clear communication, empathetic care, and the integration of family and palliative care services.

Basic Principles and Role of Endoscopic Ultrasound in Diagnosis and Differentiation of Pancreatic Cancer from Other Pancreatic Lesions: A Comprehensive Review of Endoscopic Ultrasound for Pancreatic Cancer.

Pancreatic cancer is one of the leading causes of cancer-related deaths worldwide. Pancreatic lesions consist of both neoplastic and non-neoplastic lesions and often pose a diagnostic and therapeutic challenge due to similar clinical and radiological features. In recent years, pancreatic lesions have been discovered more frequently as incidental findings due to the increased utilization and widespread availability of abdominal cross-sectional imaging. Therefore, it becomes imperative to establish an early and appropriate diagnosis with meticulous differentiation in an attempt to balance unnecessary treatment of benign pancreatic lesions and missing the opportunity for early intervention in malignant lesions. Endoscopic ultrasound (EUS) has become an important diagnostic modality for the identification and risk stratification of pancreatic lesions due to its ability to provide detailed imaging and acquisition of tissue samples for analysis with the help of fine-needle aspiration/biopsy. The recent development of EUS-based technology, including contrast-enhanced endoscopic ultrasound, real-time elastography-endoscopic ultrasound, miniature probe ultrasound, confocal laser endomicroscopy, and the application of artificial intelligence has significantly augmented the diagnostic accuracy of EUS as it enables better evaluation of the number, location, dimension, wall thickness, and contents of these lesions. This article provides a comprehensive overview of the role of the different types of EUS available for the diagnosis and differentiation of pancreatic cancer from other pancreatic lesions while discussing their key strengths and important limitations.

Machine Learning-Based Prediction Models for Clostridioides difficile Infection: A Systematic Review.

INTRODUCTION: Despite research efforts, predicting Clostridioides difficile incidence and its outcomes remains challenging. The aim of this systematic review was to evaluate the performance of machine learning (ML) models in predicting C. difficile infection (CDI) incidence and complications using clinical data from electronic health records. METHODS: We conducted a comprehensive search of databases (OVID, Embase, MEDLINE ALL, Web of Science, and Scopus) from inception up to September 2023. Studies employing ML techniques for predicting CDI or its complications were included. The primary outcome was the type and performance of ML models assessed using the area under the receiver operating characteristic curve. RESULTS: Twelve retrospective studies that evaluated CDI incidence and/or outcomes were included. The most commonly used ML models were random forest and gradient boosting. The area under the receiver operating characteristic curve ranged from 0.60 to 0.81 for predicting CDI incidence, 0.59 to 0.80 for recurrence, and 0.64 to 0.88 for predicting complications. Advanced ML models demonstrated similar performance to traditional logistic regression. However, there was notable heterogeneity in defining CDI and the different outcomes, including incidence, recurrence, and complications, and a lack of external validation in most studies. DISCUSSION: ML models show promise in predicting CDI incidence and outcomes. However, the observed heterogeneity in CDI definitions and the lack of real-world validation highlight challenges in clinical implementation. Future research should focus on external validation and the use of standardized definitions across studies.

Efficacy of Endoscopic Therapy in Symptomatic Pancreatic Divisum: A Systematic Review and Meta-analysis.

BACKGROUND AND AIMS: Pancreas divisum (PD) is a congenital malformation of the pancreas and is implicated as a cause of pancreatitis. The role of endotherapy has been variable in symptomatic PD indicated by recurrent acute pancreatitis (RAP), chronic pancreatitis (CP), or chronic pancreatic-type abdominal pain (PP). The aim of this study was to analyze the pooled data to determine the success of endoscopic intervention for pancreas divisum. METHODS: We conducted a comprehensive search of several databases (inception to July 2023) to identify studies reporting on the use of endoscopic therapy in symptomatic pancreatic divisum. The random-effects model was used to calculate the pooled rates and I2% values were used to assess the heterogeneity. RESULTS: A total of 27 studies were retrieved that reported endoscopic intervention in pancreatic divisum. The calculated pooled rate of technical success was 92% (95% CI: 87-95; I2=63%). The calculated pooled rate of clinical success was 65% (95% CI: 60-70; I2=60%). The rate of clinical success by PD subtypes was highest in RAP at 71% (95% CI: 65-76; I2=24%). Available studies had significant heterogeneity in defining clinical success. The rate of adverse events was 71% (95% CI: 65-76; I2=24%). CONCLUSIONS: The role of endoscopic therapy in pancreatic divisum is variable with the highest success rate in recurrent acute pancreatitis. Endoscopic intervention is associated with a higher-than-usual rate of adverse events, including post-ERCP pancreatitis.

Incidence, implications and predictors of abdominal compartment syndrome in acute pancreatitis: A nationwide analysis.

BACKGROUND: Acute pancreatitis (AP) often presents with varying severity, with a small fraction evolving into severe AP, and is associated with high mortality. Complications such as intra-abdominal hypertension (IAH) and abdominal compartment syndrome (ACS) are intricately associated with AP. OBJECTIVE: To assess the clinical implications and predictors of ACS in AP patients. METHODS: We conducted a retrospective study using the National Inpatient Sample (NIS) database on adult AP patients, further stratified by the presence of concurrent ACS. The data extraction included demographics, underlying comorbidities, and clinical outcomes. Multivariate linear and logistic regression analyses were performed using STATA (v.14.2). RESULTS: Of the 1,099,175 adult AP patients, only 1,090 (0.001%) exhibited ACS. AP patients with ACS had elevated inpatient mortality and all major complications, including septic shock, acute respiratory distress syndrome (ARDS), requirement for total parenteral nutrition (TPN), and intensive care unit (ICU) admission (P < 0.01). These patients also exhibited increased odds of requiring pancreatic drainage and necrosectomy (P < 0.01). Predictor analysis identified blood transfusion, obesity (BMI ≥30), and admission to large teaching hospitals as factors associated with the development of ACS in AP patients. Conversely, age, female gender, biliary etiology of AP, and smoking were found less frequently in patients with ACS. CONCLUSION: Our study highlights the significant morbidity, mortality, and healthcare resource utilization associated with the concurrence of ACS in AP patients. We identified potential factors associated with ACS in AP patients. Significantly worse outcomes in ACS necessitate the need for early diagnosis, meticulous monitoring, and targeted therapeutic interventions for AP patients at risk of developing ACS.

Diagnostic accuracy of bowel ultrasonography in patients with inflammatory bowel disease: a systematic review and meta-analysis.

Background: Bowel ultrasonography (BUS) is emerging as a promising noninvasive tool for assessing disease activity in inflammatory bowel disease (IBD) patients. We evaluated the diagnostic accuracy of BUS in IBD patients against the gold standard diagnostic method, standard colonoscopy. Methods: Major databases were searched from inception to May 2023 for studies on BUS diagnostic accuracy in IBD. Outcomes of interest were pooled sensitivity, specificity, positive (PPV), and negative (NPV) predictive values. Endoscopic confirmation served as ground truth. Standard meta-analysis methods with a random-effects model and I2 statistics were applied. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Results: Twenty studies (1094 patients) were included in the final analysis. The majority (75%) of studies considered bowel wall thickness >3 mm as abnormal. Endoscopic evaluation was performed between days 3 and 180. The pooled diagnostic accuracy of BUS in IBD was 66% (95% confidence interval [CI] 58-72%; I2=78%), sensitivity was 88.6% (95%CI 85-91%; I2=77%), and specificity 86% (95%CI 81-90%; I2=95%). PPV and NPV were 94% (95%CI 93-96%; I2=25%) and 74% (95%CI 66-80%; I2=95%), respectively. On subgroup analysis, small-intestine contrast-enhanced ultrasonography (SICUS) demonstrated high sensitivity (97%, 95%CI 91-99%; I2=83%), whereas BUS exhibited high specificity (94%, 95%CI 92-96%; I2=0%) and NPV (76%, 95%CI 68-83%; I2=80.9%). Meta-regression revealed a significant relation between side-to-side anastomosis and BUS specificity (P=0.02) and NPV (P=0.004). Conclusion: The high diagnostic accuracy of BUS in detecting bowel wall inflammation suggests utilizing regular BUS as the primary modality, with subsequent consideration of SICUS if clinically warranted.

Unveiling the Hazards: A Case Report on Kayexalate-induced Colonic Necrosis.

Sodium polystyrene sulphonate (SPS), employed in the management of severe hyperkalemia, is typically combined with sodium sorbitol to avert potential intestinal obstruction. Nonetheless, the administration of Kayexalate, even in the presence of minimal sorbitol, can lead to the grave complication of colonic necrosis. We present a case of Kayexalate-mediated colonic necrosis, highlighting the vital necessity of acknowledging the inherent risks associated with its usage in spite of its efficacy in potassium reduction. In light of these potential risks, it is incumbent upon physicians to exercise caution, and contemplate the use of alternative pharmacological agents that effectively eliminate excess potassium, whilst minimizing associated adverse effects.