Exploring the Potential of Pretrained CNNs and Time-Frequency Methods for Accurate Epileptic EEG Classification: A Comparative Study.

Prompt diagnosis of epilepsy relies on accurate classification of automated electroencephalogram (EEG) signals. Several approaches have been developed to characterize epileptic EEG data; however, none of them have exploited time-frequency data to evaluate the effect of tweaking parameters in pretrained frameworks for EEG data classification. This study compares the performance of several pretrained convolutional neural networks (CNNs) namely, AlexNet, GoogLeNet, MobileNetV2, ResNet-18 and SqueezeNet for the localization of epilepsy EEG data using various time-frequency data representation algorithms. Continuous wavelet transform (CWT), empirical Fourier decomposition (EFD), empirical mode decomposition (EMD), empirical wavelet transform (EWT), and variational mode decomposition (VMD) were exploited for the acquisition of 2D scalograms from 1D data. The research evaluates the effect of multiple factors, including noisy versus denoised scalograms, different optimizers, learning rates, single versus dual channels, model size, and computational time consumption. The benchmark Bern Barcelona EEG dataset is used for testing purpose. Results obtained show that the combination of MobileNetV2, Continuous Wavelet Transform (CWT) and Adam optimizer at a learning rate of 10^-4, coupled with dual-data channels, provides the best performance metrics. Specifically, these parameters result in optimal sensitivity, specificity, f1-score, and classification accuracy, with respective values of 96.06%, 96.15%, 96.08%, and 96.10%. To further corroborate the efficacy of opted pretrained models on exploited Signal Decomposition (SD) algorithms, the classifiers are also being simulated on Temple University database at pinnacle modeling composition. A similar pattern in the outcome readily validate the findings of our study and robustness of deep learning models on epilepsy EEG scalograms.The conclusions drawn emphasize the potential of pretrained CNN-based models to create a robust, automated system for diagnosing epileptiform. Furthermore, the study offers insights into the effectiveness of varying time-frequency techniques and classifier parameters for classifying epileptic EEG data.

Potential role of Citrus bergamia flower essential oil against oral pathogens.

BACKGROUND: Oral bacterial infections are difficult to treat due to emergence of resistance against antibiotic therapy. Essential oils are considered emerging alternate therapy against bacterial infections and biofilms. We investigated Citrus bergemia flower essential oil against oral pathogens. METHODS: The essential oil was analsyed using Gas Chromatography(GC-MS), in silico investigations, antioxidant, antimicrobial, antibiofilm and antiquorum sensing assays. RESULTS: Gas Chromatography analysis confirmed presence of 17 compounds including 1,6-Octadien-3-ol,3,7-dimethyl, 48.17%), l-limonene (22.03%) and p-menth-1-ol, 8-ol (7.31%) as major components. In silico analysis showed compliance of all tested major components with Lipinski's rule, Bioavailability and antimicrobial activity using PASS (prediction of activity spectrum of substances). Molecular docking with transcriptional regulators 3QP5, 5OE3, 4B2O and 3Q3D revealed strong interaction of all tested compounds except 1,6-Octadien-3-ol,3,7-dimethyl. All tested compounds presented significant inhibition of DPPH (2,2-diphenyl-1-picrylhydrazyl) (IC50 0.65 mg/mL), H2O2 (hydrogen peroxide) (63.5%) and high FRAP (ferrous reducing antioxidant power) value (239.01 µg). In antimicrobial screening a significant activity (MIC 0.125 mg/mL) against Bacillus paramycoides and Bacillus chungangensis was observed. Likewise a strong antibiofilm (52.1 - 69.5%) and anti-QS (quorum sensing) (4-16 mm) activity was recorded in a dose dependent manner. CONCLUSION: It was therefore concluded that C. bergemia essential oil posess strong antioxidant, antimicrobial and antibiofilm activities against tested oral pathogens.

Efficacy and Safety of Thermal Ablation after Endoscopic Mucosal Resection: A Systematic Review and Network Meta-Analysis.

(1) Background: Large colonic polyps during colonoscopy can be managed by Endoscopic mucosal resection (EMR). To decrease the polyp recurrence rate, thermal ablation methods like argon plasma coagulation (APC) and snare tip soft coagulation (STSC) have been introduced. We performed this network meta-analysis to assess the efficacy and safety of these modalities. (2) Methods: We performed a comprehensive literature review, through 5 January 2024, of databases including Embase, PubMed, SciELO, KCI, Cochrane Central, and Web of Science. Using a random effects model, we conducted a frequentist approach network meta-analysis. The risk ratio (RR) with 95% confidence interval (CI) was calculated. Safety and efficacy endpoints including rates of recurrence, bleeding, perforation, and post polypectomy syndrome were compared. (3) Results: Our search yielded a total of 13 studies with 2686 patients. Compared to placebo, both APC (RR: 0.33 CI: 0.20-0.54, p < 0.01) and STSC (RR: 0.27, CI: 0.21-0.34, p < 0.01) showed decreased recurrence rates. On ranking, STSC showed the lowest recurrence rate, followed by APC and placebo. Regarding individual adverse events, there was no statistically significant difference between either of the thermal ablation methods and placebo. (4) Conclusions: We demonstrated the efficacy and safety of thermal ablation after EMR for decreasing recurrence of adenoma.

Comparative Risks of Post-ERCP Adverse Events in Patients with Asymptomatic and Symptomatic Choledocholithiasis: A Systematic Review and Meta-Analysis.

BACKGROUND AND AIMS: Endoscopic retrograde cholangiopancreatography (ERCP) is the standard of care for the management of choledocholithiasis but carries risk of complications which may result in significant morbidity and mortality. While currently available guidelines endorse the use of ERCP for the management of symptomatic common bile duct stones, the need for ERCP in incidentally found asymptomatic choledocholithiasis is more controversial, and practice varies on a geographic and institutional level. This systematic review and meta-analysis is conducted to compare post-ERCP adverse events between asymptomatic and symptomatic choledocholithiasis patients. METHODS: We searched PubMed/Embase/Web of Science databases to include all studies comparing post-ERCP outcomes between asymptomatic and symptomatic choledocholithiasis patients. The primary outcome was post-ERCP pancreatitis (PEP), while secondary outcomes included post-ERCP cholangitis, bleeding, and perforation. We calculated pooled risk ratios (RR) and 95% confidence intervals (CIs) using the Mantel-Haenszel method within a random-effect model. RESULTS: Our analysis included six observational studies, totaling 2,178 choledocholithiasis patients (392 asymptomatic and 1786 symptomatic); 53% were female. Asymptomatic patients exhibited a higher risk of PEP compared with symptomatic patients (11.7% versus 4.8%; RR 2.59, 95% CI 1.56-4.31, p ≤ 0.001). No significant difference was observed in post-ERCP cholangitis, bleeding, or perforation rates between the two groups. CONCLUSIONS: Asymptomatic patients with choledocholithiasis appear to have a higher risk of PEP than symptomatic patients, while the risk of other post-ERCP adverse events is similar between the two groups. Interventional endoscopists should thoroughly discuss potential adverse events (particularly PEP) with asymptomatic patients before performing ERCP and utilize PEP-prevention measures more liberally in this subgroup of patients.

Cross-sectional study of influenza trends and costs in Malaysia between 2016 and 2018.

BACKGROUND AND OBJECTIVES: While influenza circulates year-round in Malaysia, research data on its incidence is scarce. Yet, this information is vital to the improvement of public health through evidence-based policies. In this cross-sectional study, we aimed to determine the trends and financial costs of influenza. METHODS: Data for the years 2016 through 2018 were gathered retrospectively from several sources. These were existing Ministry of Health (MOH) influenza sentinel sites data, two teaching hospitals, and two private medical institutions in the Klang Valley, Malaysia. Expert consensus determined the final estimates of burden for laboratory-confirmed influenza-like illness (ILI) and severe acute respiratory infection (SARI). Economic burden was estimated separately using secondary data supplemented by MOH casemix costing. RESULTS: Altogether, data for 11,652 cases of ILI and 5,764 cases of SARI were extracted. The influenza B subtype was found to be predominant in 2016, while influenza A was more prevalent in 2017 and 2018. The distribution timeline revealed that the highest frequency of cases occurred in March and April of all three years. The costs of influenza amounted to MYR 310.9 million over the full three-year period. CONCLUSIONS: The study provides valuable insights into the dynamic landscape of influenza in Malaysia. The findings reveal a consistent year-round presence of influenza with irregular seasonal peaks, including a notable influenza A epidemic in 2017 and consistent surges in influenza B incidence during March across three years. These findings underscore the significance of continuous monitoring influenza subtypes for informed healthcare strategies as well as advocate for the integration of influenza vaccination into Malaysia's national immunization program, enhancing overall pandemic preparedness.

Single Versus Second Observer vs Artificial Intelligence to Increase the ADENOMA Detection Rate of Colonoscopy-A Network Analysis.

BACKGROUND AND AIMS: Screening colonoscopy has significantly contributed to the reduction of the incidence of colorectal cancer (CRC) and its associated mortality, with adenoma detection rate (ADR) as the quality marker. To increase the ADR, various solutions have been proposed including the utilization of Artificial Intelligence (AI) and employing second observers during colonoscopies. In the interest of AI improving ADR independently, without a second observer, and the operational similarity between AI and second observer, this network meta-analysis aims at evaluating the effectiveness of AI, second observer, and a single observer in improving ADR. METHODS: We searched the Medline, Embase, Cochrane, Web of Science Core Collection, Korean Citation Index, SciELO, Global Index Medicus, and Cochrane. A direct head-to-head comparator analysis and network meta-analysis were performed using the random-effects model. The odds ratio (OR) was calculated with a 95% confidence interval (CI) and p-value < 0.05 was considered statistically significant. RESULTS: We analyzed 26 studies, involving 22,560 subjects. In the direct comparative analysis, AI demonstrated higher ADR (OR: 0.668, 95% CI 0.595-0.749, p < 0.001) than single observer. Dual observer demonstrated a higher ADR (OR: 0.771, 95% CI 0.688-0.865, p < 0.001) than single operator. In network meta-analysis, results were consistent on the network meta-analysis, maintaining consistency. No statistical difference was noted when comparing AI to second observer. (RR 1.1 (0.9-1.2, p = 0.3). Results were consistent when evaluating only RCTs. Net ranking provided higher score to AI followed by second observer followed by single observer. CONCLUSION: Artificial Intelligence and second-observer colonoscopy showed superior success in Adenoma Detection Rate when compared to single-observer colonoscopy. Although not statistically significant, net ranking model favors the superiority of AI to the second observer.

Structural, morphological, mechanical, and electronic properties of nickel substituted manganese oxide (NixMn1-xO, x= 0.0, 0.2, 0.4) for electronic applications.

The structural, morphological, mechanical, and electronic properties of nickel-substituted manganese oxide (NixMn1-xO, where x = 0.0, 0.2, and 0.4) were studied using experimental techniques. The compounds were synthesized using a hydrothermal method. The face-centered cubic structures of the examined compounds were confirmed by XRD. Scanning electron microscopy (SEM) images revealed that the particles were well-shaped, while elemental mapping with energy dispersive spectroscopy (EDS) confirmed that the examined compounds had the appropriate proportions of Ni, Mn, and O. The FT-IR spectroscopy results indicated the respective functional groups. Raman spectroscopy results disclosed the vibration modes of the respective materials. The Tauc plot reveals the semiconducting nature of the compounds. The UV-Vis bandgap study revealed the semiconductor natures of compounds. This demonstrates that these nanoparticles can be used in atom lasers, photovoltaics, and other electronic applications.

Gastrointestinal Bleeding in Patients With Acute Ischemic Stroke: A Literature Review.

Stroke is an infarction of the central nervous system (brain, spinal cord, or retina) that results from a disruption in cerebral blood flow either due to ischemia or hemorrhage. Complications of acute stroke are common and include pneumonia, urinary tract infection, myocardial infarction, deep vein thrombosis, and pulmonary embolism, among several others, all of which increase the risk of poor clinical outcomes. Gastrointestinal bleeding is a well-known complication that can occur during the acute phase of stroke. In this review, we have summarized the existing data regarding the incidence, pathophysiology, risk factors, morbidity, mortality, and management strategies for gastrointestinal bleeding in patients with acute ischemic stroke.

Dietary interventions in cancer: a systematic review of all randomized controlled trials.

BACKGROUND: Prior systematic reviews addressing the impact of diet on cancer outcomes have focused on specific dietary interventions. In this systematic review, we assessed all RCTs investigating dietary interventions for cancer patients, examining the range of interventions, endpoints, patient populations, and results. METHODS: This systematic review identified all RCTs conducted prior to January 2023 testing dietary interventions in patients with cancer. Assessed outcomes included quality of life, functional outcomes, clinical cancer measurements (eg, progression-free survival, response rates), overall survival, and translational endpoints (eg, inflammatory markers). RESULTS: 252 RCTs were identified involving 31,067 patients. The median sample size was 71 (interquartile range 41 to 118), and 80 (32%) studies had a sample size greater than 100. Most trials (n = 184, 73%) were conducted in the adjuvant setting. Weight/body composition and translational endpoints were the most common primary endpoints (n = 64, 25%; n = 52, 21%, respectively). Direct cancer measurements and overall survival were a primary endpoint in 20 (8%) and seven (3%) studies respectively. Eight trials with a primary endpoint of cancer measurement (40%) met their endpoint. Large trials in colon (n = 1429), breast (n = 3088), and prostate cancer (n = 478) each showed no effect of dietary interventions on endpoints measuring cancer. CONCLUSION: Most RCTs of dietary interventions in cancer are small and measure non-clinical endpoints. Although only a small number of large RCTs have been conducted to date, these trials have not shown an improvement in cancer outcomes. Currently, there is limited evidence to support dietary interventions as a therapeutic tool in cancer care.

Artificial intelligence in gastrointestinal endoscopy: a comprehensive review.

Integrating artificial intelligence (AI) into gastrointestinal (GI) endoscopy heralds a significant leap forward in managing GI disorders. AI-enabled applications, such as computer-aided detection and computer-aided diagnosis, have significantly advanced GI endoscopy, improving early detection, diagnosis and personalized treatment planning. AI algorithms have shown promise in the analysis of endoscopic data, critical in conditions with traditionally low diagnostic sensitivity, such as indeterminate biliary strictures and pancreatic cancer. Convolutional neural networks can markedly improve the diagnostic process when integrated with cholangioscopy or endoscopic ultrasound, especially in the detection of malignant biliary strictures and cholangiocarcinoma. AI's capacity to analyze complex image data and offer real-time feedback can streamline endoscopic procedures, reduce the need for invasive biopsies, and decrease associated adverse events. However, the clinical implementation of AI faces challenges, including data quality issues and the risk of overfitting, underscoring the need for further research and validation. As the technology matures, AI is poised to become an indispensable tool in the gastroenterologist's arsenal, necessitating the integration of robust, validated AI applications into routine clinical practice. Despite remarkable advances, challenges such as operator-dependent accuracy and the need for intricate examinations persist. This review delves into the transformative role of AI in enhancing endoscopic diagnostic accuracy, particularly highlighting its utility in the early detection and personalized treatment of GI diseases.

Autoimmune Hepatitis: An Unusual Presentation.

Autoimmune hepatitis (AIH) is a chronic inflammatory liver disease that occurs in a bimodal age distribution in the second and fifth-sixth decade of life. The disease is more prevalent in females and presents with variable clinical manifestations ranging from being asymptomatic to acute liver failure. AIH is often overlooked and not worked up in elderly patients who present with liver failure. This can lead to increased morbidity and mortality in elderly patients. AIH should be considered as a differential diagnosis in patients who present with elevated transaminases regardless of age or gender as early recognition and treatment leads to improved outcomes. In this article, we present a unique case of AIH in a male patient in his eighth decade of life who presented with acute liver failure without any obvious cause and had no history of autoimmune diseases.

Effects of biodegradable- and non-biodegradable-rich waste separation on ash deposition behaviour during coal and refuse-derived fuel co-combustion.

The potential impact of ash deposition during the combustion of separated biodegradable- and non-biodegradable-rich waste of refuse-derived fuel (RDF) was evaluated in this study. Theoretical prediction, drop tube furnace experimental combustion, and ash observation were performed to comprehensively investigate their ash deposit behaviour. The results show that high CaO and Cl in RDFs result in severe sintering and rust in the metal surface. The high ash deposit weight and aggregated sticky particles are observed during single-firing RDFs. Furthermore, adding 5 wt% of biodegradable-rich RDF or mixed RDF to coal has a less significant effect on ash deposition. However, several aggregate particles and metal degradation are observed during the combustion of mixed coal with the addition of 5 wt% non-biodegradable-rich RDF. The high Cl in non-biodegradable-rich RDF affects the ash deposition behaviour significantly. This research provides valuable insights into optimising coal-RDF co-combustion, especially with separating biodegradable- and non-biodegradable-rich RDFs.

Efficacy and safety of vibrating capsule in treatment of chronic idiopathic constipation: a systematic review and meta-analysis of randomized controlled trials.

Background: Multiple pharmacological interventions and modalities are available for managing chronic idiopathic constipation (CIC), with variable efficacy. Vibrating capsule (VC) is a device that has shown variable results in alleviating constipation by tactile stimulation of the colonic wall and inducing peristalsis. This meta-analysis is to investigate the efficacy and safety of this modality. Methods: Comprehensive literature search was performed through June 14th, 2023, on databases including Embase, PubMed/MEDLINE, Cochrane Central, Web of Science, Global Index Medicus, and Google Scholar. Core concepts of VC, constipation, and bowel movement were searched. The DerSimonian-Laird method and random effects model were utilized. We calculated odds ratio (OR) and mean difference (MD) for proportional and continuous variables, respectively, with 95% confidence interval (CI) and a P value of <0.05 considered statistically significant. Results: The search strategy yielded 117 articles. Four studies with 705 total patients were finalized comparing VC to placebo/sham treatment. The pooled complete spontaneous bowel movement (CSBM), defined as bowel movement without use of laxatives within the last 48 hours with sense of complete evacuation did not achieve statistical improvement with VC (MD =0.153; 95% CI: -0.218 to 0.523; P=0.422). However, spontaneous bowel movement (SBM), defined as bowel movement without use of laxatives within the last 48 hours, showed statistical improvement with VC (MD =0.159; 95% CI: 0.095 to 0.223; P<0.001). VC didn't show an increase in pooled adverse events (OR =1.431; 95% CI: 0.702 to 2.916; P=0.324). Conclusions: The systematic review and meta-analysis suggest that VC is safe and efficacious in some outcomes, however, larger randomized controlled trials (RCTs) and real-world data are needed to establish this.

Exploring HCl-HCl interactions: QZVPP calculations, improved Lennard-Jones potential, and second virial coefficient analysis for thermodynamics and industrial applications.

In this paper, we present a comprehensive analysis of HCl-HCl interactions, including QZVPP calculations, energy fitting, conformation validation, and the determination of the second virial coefficient B using improved Lennard-Jones (ILJ) potential parameters. To acquire accurate interaction energies, initial QZVPP calculations are performed on approximately 1851 randomly generated HCl-HCl conformations. Then, these energies are used to fit an improved Lennard-Jones potential energy surface, allowing for a robust description of HCl-HCl interactions. The ILJ potential parameters are then used to validate particular HCl dimer conformations, ensuring their stability and consistency with experimental observations. The correlation between calculated and experimental conformations strengthens the validity of the ILJ potential parameters. In addition, the second viral coefficient B is calculated at various temperatures using the ILJ potential. The obtained B values are compared to experimental data, demonstrating close agreement, and validating the ILJ potential's ability to accurately capture the intermolecular interactions and gas-phase behavior of the HCl-HCl system. The results of this study demonstrate the effective implementation of QZVPP calculations, energy fitting, and ILJ potential parameters in validating HCl-HCl conformations and accurately determining the second virial coefficient B. The high degree of concordance between calculated B values and experimental data demonstrates the validity of the ILJ potential and its suitability for modeling HCl-HCl interactions. This research contributes to a greater comprehension of HCl-HCl interactions and their implications for numerous chemical and atmospheric processes. The validated conformations, energy fitting method, and calculated second virial coefficients provide valuable instruments for future research and pave the way for more accurate modeling and simulations of HCl-HCl systems.

Evaluating Sex Differences in the Characteristics and Outcomes of Lupus Nephritis: A Systematic Review and Meta-Analysis.

Introduction: More frequent and severe lupus nephritis (LN) has been reported in men compared to women, but data are limited and inconsistent. We conducted a meta-analysis of the literature to compare the histopathologic findings and outcomes between men and women with biopsy-proven LN. Methods: A systematic search of MEDLINE, Embase, Cochrane, and Web of Science databases was conducted through February 2021. Clinical information was extracted and synthesized from 25 studies that met inclusion criteria (1,210 men and 6,635 women). Pooled odds ratios (OR) with corresponding 95% confidence intervals (CIs) were generated via meta-analysis, and meta-regression was performed to assess the impact of several covariates, both using random-effects models. Results: Twenty studies reported kidney histopathology, eleven reported kidney outcomes, and eight reported mortality rates. Men had greater odds of class IV ± V LN (OR 1.26, 95% CI: 1.01-1.56), and the composite of end-stage kidney disease, persistent eGFR <15 mL/min or doubling of serum creatinine (OR 2.20, 95% CI: 1.59-3.06), and lower odds of complete remission (OR 0.52, 95% CI: 0.39-0.68). Mortality was not statistically significantly different between sexes (OR 1.50, 95% CI: 0.92-2.46). Meta-regression did not reveal statistically significant study-level relationships between sex differences in any of the covariates that could account for the greater odds of worse kidney outcome in males. Conclusion: Our analysis confirms the association between male sex and increased severity of LN as well as worse kidney outcomes. Larger prospective studies are needed to validate this association and inform treatment strategies adapted to this population.

Can my surgeon scope? Trends in endoscopy training volume and experience among general surgery residents in the United States: a nationwide analysis.

INTRODUCTION: Endoscopy is a major part of surgical training. Accreditation Council for Graduate Medical Education (ACGME) has set standards regarding the minimum volume of endoscopy cases required for graduation. However, there is paucity of high-quality data on the number of cases that most surgical graduates perform. METHODS: We conducted a retrospective analysis of operative case logs of all general surgery residents graduating from ACGME-accredited programs from 2010 to 2023. Data on mean number of endoscopy cases, including mean in each subcategory, were retrieved. Mann-Kendall trend test was used to investigate trends in endoscopy experience. RESULTS: Between 2010 and 2023, the mean overall endoscopy procedures per resident remained stable, with 129.5 in 2010 and 132.1 in 2023 (t = 0.429; p-value = 0.037). The majority of these cases were performed as surgeon junior (76.6% in 2010; 80.9% in 2023), while the remaining cases were logged as surgeon chief. The most substantial contribution to the overall volume was from flexible colonoscopy (mean: 64.1 in 2010 and 67.2 in 2023). The volume for colonoscopy remained fairly stable (t = 0.429; p-value = 0.036). This was followed by esophagogastroduodenoscopy (mean: 35.3 in 2010 and 35.5 in 2023), which saw a significant increase in volume (t = 0.890; p-value ≤ 0.001). There was a significant increase in the number of overall upper endoscopic procedures (t = 0.791; p-value ≤ 0.001), while lower endoscopic procedures did not change significantly (t = 0.319; p-value = 0.125). The procedural volume for endoscopic retrograde cholangiography, sigmoidoscopy, cystoscopy/ureteroscopy, laryngoscopy, and bronchoscopy decreased significantly (p-value < 0.05 for all). CONCLUSION: The overall endoscopy volume for general surgery residents has largely remained stable, with a minor increase in esophagogastroduodenoscopy and no change in colonoscopy. Future research should investigate whether simulation-based exercises can bridge the gap between procedural volume and learning curve requirements for endoscopy.

The impact of COVID-19 on hospitalizations that underwent endoscopic retrograde cholangiopancreatography in the United States.

BACKGROUND/OBJECTIVES: COVID-19 impacts technical success of endoscopic retrograde cholangiopancreatography (ERCP). In this study, we aimed to assess the influence of COVID-19 on hospitalizations that underwent ERCP. METHODS: We identified all adult COVID-19 and non-COVID-19 hospitalizations that underwent ERCP in the United States using the National Inpatient Sample for 2020. Hospitalization characteristics, clinical outcomes, and complications were compared between the two groups. RESULTS: In 2020, 2015 COVID-19 and 203,094 non-COVID-19 hospitalizations underwent ERCP. The COVID-19 cohort had a higher mean age (60.3 vs 55.6 years, p < 0.001) and a higher proportion of Blacks and Hispanics compared to the non-COVID-19 cohort. After adjusting for confounders, the COVID-19 cohort had higher all-cause inpatient mortality (4.77 vs 1.45%, aOR 4.09, 95% CI 2.50-6.69, p < 0.001), mean length of stay (LOS) [10.19 vs 5.94 days, mean difference: 3.88, 95% CI 2.68-5.07, p < 0.001] and mean total hospital charges (THC) [$152,933 vs $96,398, mean difference: 46,367, 95% CI 21,776-70,957, p < 0.001] compared to the non-COVID-19 cohort. Increasing age, higher Charlson Comorbidity Index, and post-ERCP pancreatitis were identified to be independent predictors of inpatient mortality for COVID-19 hospitalizations that underwent ERCP. Furthermore, the COVID-19 cohort had higher odds of developing post-ERCP pancreatitis (PEP) (11.55 vs 7.05%, aOR 1.64, 95% CI 1.19-2.25, p = 0.002) compared to the non-COVID-19 cohort, after adjusting for confounders. However, there was no statistical difference in the rates of bowel perforations and post-ERCP hemorrhage between the two groups. CONCLUSION: COVID-19 hospitalizations that underwent ERCP had higher inpatient mortality, mean LOS, mean THC, and odds of developing PEP compared to the non-COVID-19 cohort. CLINICAL TRIAL REGISTRATION: This study is not a part of a clinical trial.

Comparing EUS-directed Transgastric ERCP (EDGE) Versus Laparoscopic-Assisted ERCP Versus Enteroscopic ERCP: A Network Meta-analysis.

BACKGROUND: Management of choledocholithiasis in patients with Roux-en-Y gastric bypass surgery is challenging. This study aims to compare technical success rates, adverse events, and procedural time between 3 current approaches: endoscopic ultrasound-directed transgastric Endoscopic retrograde cholangiopancreatography (ERCP) (EDGE), enteroscopy-assisted ERCP (E-ERCP), and laparoscopic-assisted ERCP (LA-ERCP). METHODS: A systematic search of 5 databases was conducted. Direct and network meta-analyses were performed to compare interventions using the random effects model. A significance threshold of P < 0.05 was applied. RESULTS: Sixteen studies were included. On direct meta-analysis, technical success rates were comparable between EDGE and LA-ERCP (odds ratio: 0.768, CI: 0.196-3.006, P = 0.704, I2 = 14.13%). However, EDGE and LA-ERCP showed significantly higher success rates than E-ERCP. No significant differences in adverse events were found between EDGE versus LA-ERCP, EDGE versus E-ERCP, and LA-ERCP versus E-ERCP on direct meta-analysis. In terms of procedural time, EDGE was significantly shorter than E-ERCP [mean difference (MD): -31 minutes, 95% CI: -40.748 to -21.217, P < 0.001, I2 = 19.89%), and E-ERCP was shorter than LA-ERCP (MD: -44.567 minutes, 95% CI: -76.018 to -13.116, P = 0.005, I2 = 0%). EDGE also demonstrated a significant time advantage over LA-ERCP (MD: -78.145 minutes, 95% CI: -104.882 to -51.407, P < 0.001, I2 = 0%). All findings were consistent with network meta-analysis on random effects model. The heterogeneity of the model was low. CONCLUSIONS: EDGE and LA-ERCP showed superior technical success rates compared with E-ERCP. Adverse events did not significantly differ among the three approaches. Furthermore, EDGE demonstrated the shortest procedural duration. We recommend considering EDGE as a first-choice procedure.