Hepatic Injury in Patients With COVID-19.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has infected over 2 million people worldwide over the course of just several months. Various studies have highlighted that patients infected with COVID-19 may develop various degrees of liver injury. Here, we discuss the impact of underlying liver disease and manifestations of hepatic injury with COVID-19. We also review mechanisms of hepatic injury. METHODS: We searched the database PubMed for all studies focused on hepatic injury in COVID-19. RESULTS: We identified 13 studies that assessed the impact of underlying liver disease in patients infected with COVID-19 (N=3046). Underlying liver disease was one of the most common known comorbid categories in patients infected with COVID-19. Overall, 25% of the patients identified from the 13 studies had hepatic injury. Twenty-one percent and 24% had elevated alanine transaminase and aspartate transaminase values, respectively. Nine percent of the patients had elevated total bilirubin values. Ten of the 13 studies assessed COVID-19 acuity with severity of hepatic injury. In 9 of the 10 studies, clinical outcomes were worse with hepatic injury. CONCLUSIONS: Liver injury is highly prevalent in patients that present with COVID-19. Since the liver is one of the most affected organs outside of the respiratory system in COVID-19, more intensive surveillance is warranted for severe cases, particularly among those with pre-existing advanced liver disease.

Expanding endoscopic boundaries: Endoscopic resection of large appendiceal orifice polyps with endoscopic mucosal resection and endoscopic submucosal dissection.

BACKGROUND: Large appendiceal orifice polyps are traditionally treated surgically. Recently, endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD) have been utilized as alternative resection techniques. AIM: To evaluate the efficacy and safety of endoscopic resection techniques for the management of large appendiceal orifice polyps. METHODS: This was a retrospective observational study conducted to assess the feasibility and safety of EMR and ESD for large appendiceal orifice polyps. This project was approved by the Baylor College of Medicine Institutional Review Board. Patients who underwent endoscopic resection of appendiceal orifice polyps ≥ 1 cm from 2015 to 2022 at a tertiary referral endoscopy center in the United States were enrolled. The main outcomes of this study included en bloc resection, R0 resection, post resection adverse events, and polyp recurrence. RESULTS: A total of 19 patients were identified. Most patients were female (53%) and Caucasian (95%). The mean age was 63.3 ± 10.8 years, and the average body mass index was 28.8 ± 6.4. The mean polyp size was 25.5 ± 14.2 mm. 74% of polyps were localized to the appendix (at or inside the appendiceal orifice) and the remaining extended into the cecum. 68% of polyps occupied ≥ 50% of the appendiceal orifice circumference. The mean procedure duration was 61.6 ± 37.9 minutes. Polyps were resected via endoscopic mucosal resection, endoscopic submucosal dissection, and hybrid procedures in 5, 6, and 8 patients, respectively. Final pathology was remarkable for tubular adenoma (n = 10) [one with high grade dysplasia], sessile serrated adenoma (n = 7), and tubulovillous adenoma (n = 2) [two with high grade dysplasia]. En bloc resection was achieved in 84% with an 88% R0 resection rate. Despite the large polyp sizes and challenging procedures, 89% (n = 17) of patients were discharged on the same day as their procedure. Two patients were admitted for post-procedure observation for conservative pain management. Eight patients underwent repeat colonoscopy without evidence of residual or recurrent adenomatous polyps. CONCLUSION: Our study highlights how endoscopic mucosal resection, endoscopic submucosal dissection, and hybrid procedures are all appropriate techniques with minimal adverse effects, further validating the utility of endoscopic procedures in the management of large appendiceal polyps.

Barriers for Liver Transplant in Patients with Alcohol-Related Hepatitis.

BACKGROUND: Liver transplantation (LT) for alcohol-related liver disease has historically been reserved for patients who have been six months abstinent. Given the increasing incidence of alcohol-related hepatitis (AH) and dismal survival in patients who fail medical therapy, transplant centers are extending their acceptance criteria for patients with less than 6 months of sobriety. We sought to determine the barriers for listing. METHODS: We conducted a retrospective chart review of all inpatient LT referrals for a diagnosis of AH between September 2019 and December 2020. LT evaluations were performed by a multidisciplinary team. Descriptive statistics were reported using mean and standard deviation (SD) or percentage where appropriate. RESULTS: During our study period, 82 patients were evaluated for LT. Of these 82 patients, 62 were declined for liver transplantation. The mean (SD) age of the 62-patient cohort was 44 years (10.7), and most patients were men. The mean (SD) number of reasons for denial was 2 (0.97). Four patients had medical contraindications for transplant. Twenty-seven (44%) and 35 (56%) patients lacked insight and were at risk of alcohol relapse, respectively. Forty-three (69%) and fourteen (22.5%) patients had insufficient social support and an inability to maintain a therapeutic relationship with the transplant team, respectively. CONCLUSION: Patients are more likely denied for psychosocial factors than medical comorbidities. The majority were due to lack of insight, insufficient social support, and inability to maintain a therapeutic relationship with the transplant team. Resources should be allocated to address these issues.

Gastrointestinal Manifestations of Coronavirus Disease 2019 Across the United States: A Multicenter Cohort Study.

Background and Aims: Gastrointestinal (GI) symptoms occur among patients diagnosed with coronavirus disease 2019 (COVID-19), and there is clear evidence that SARS-CoV-2, the causative pathogen, infects the GI tract. In this large, multicenter cohort study, we evaluated variations in gastrointestinal and hepatic manifestations of COVID-19 throughout the United States (US). Methods: Patients hospitalized with a positive COVID-19 test prior to October 2020 were identified at 7 US academic centers. Demographics, presenting symptoms, laboratory data, and hospitalization outcomes were abstracted. Descriptive and regression analyses were used to evaluate GI manifestations and their potential predictors. Results: Among 2031 hospitalized patients with COVID-19, GI symptoms were present in 18.9%; diarrhea was the most common (15.2%), followed by nausea and/or vomiting (12.6%) and abdominal pain (6.0%). GI symptoms were less common in the Western cohort (16.0%) than the Northeastern (25.6%) and Midwestern (26.7%) cohorts. Compared to nonintensive care unit (ICU) patients, ICU patients had a higher prevalence of abnormal aspartate aminotransferase (58.1% vs 37.3%; P < .01), alanine aminotransferase (37.5% vs 29.3%; P = .01), and total bilirubin (12.7% vs 9.0%; P < .01). ICU patients also had a higher mortality rate (22.7% vs 4.7%; P < .01). Chronic liver disease was associated with the development of GI symptoms. Abnormal aspartate aminotransferase or alanine aminotransferase was associated with an increased risk of ICU admission. Conclusion: We present the largest multicenter cohort of patients with COVID-19 across the United States. GI manifestations were common among patients hospitalized with COVID-19, although there was significant variability in prevalence and predictors across the United States.

Development and Validation of a Comprehensive Multivariate Dosimetric Model for Predicting Late Genitourinary Toxicity Following Prostate Cancer Stereotactic Body Radiotherapy.

Purpose: Dosimetric predictors of toxicity after Stereotactic Body Radiation Therapy (SBRT) are not well-established. We sought to develop a multivariate model that predicts Common Terminology Criteria for Adverse Events (CTCAE) late grade 2 or greater genitourinary (GU) toxicity by interrogating the entire dose-volume histogram (DVH) from a large cohort of prostate cancer patients treated with SBRT on prospective trials. Methods: Three hundred and thirty-nine patients with late CTCAE toxicity data treated with prostate SBRT were identified and analyzed. All patients received 40 Gy in five fractions, every other day, using volumetric modulated arc therapy. For each patient, we examined 910 candidate dosimetric features including maximum dose, volumes of each organ [CTV, organs at risk (OARs)], V100%, and other granular volumetric/dosimetric indices at varying volumetric/dosimetric values from the entire DVH as well as ADT use to model and predict toxicity from SBRT. Training and validation subsets were generated with 90 and 10% of the patients in our cohort, respectively. Predictive accuracy was assessed by calculating the area under the receiver operating curve (AROC). Univariate analysis with student t-test was first performed on each candidate DVH feature. We subsequently performed advanced machine-learning multivariate analyses including classification and regression tree (CART), random forest, boosted tree, and multilayer neural network. Results: Median follow-up time was 32.3 months (range 3-98.9 months). Late grade ≥2 GU toxicity occurred in 20.1% of patients in our series. No single dosimetric parameter had an AROC for predicting late grade ≥2 GU toxicity on univariate analysis that exceeded 0.599. Optimized CART modestly improved prediction accuracy, with an AROC of 0.601, whereas other machine learning approaches did not improve upon univariate analyses. Conclusions: CART-based machine learning multivariate analyses drawing from 910 dosimetric features and ADT use modestly improves upon clinical prediction of late GU toxicity alone, yielding an AROC of 0.601. Biologic predictors may enhance predictive models for identifying patients at risk for late toxicity after SBRT.