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Summary Background Previous studies suggested increased mortality in patients with hepatorenal syndrome type 1 (HRS1) and advanced acute‐on‐chronic liver failure (ACLF). Aim To assess mortality and respiratory failure (RF) in patients with HRS1 and ACLF treated with terlipressin. Methods In the CONFIRM study, we randomised 299 patients with HRS1 2:1 to terlipressin or placebo, both with albumin. At enrolment, all patients were assessed for organ failure (OF) using a validated ACLF grading system. Post hoc analyses assessed the effects of terlipressin vs. placebo on the incidence of RF and 90‐day mortality. Results The incidence of RF with terlipressin ( n = 200) was 9.4% in patients with grades 1–2 ACLF, and 30% with grade 3 ACLF ( p = 0.0002); no such difference was observed in placebo‐treated patients ( n = 99) (6.2% grades 1–2 vs. 0% grade 3 ACLF, p > 0.05). RF incidence between terlipressin and placebo in patients with grade 3 ACLF was significant ( p = 0.01). Baseline predictors of RF with terlipressin were INR ( p = 0.011), mean arterial pressure ( p = 0.037), and SpO 2 ( p = 0.014). Prior albumin as a continuous variable was not a predictor of RF. 90‐day survival between terlipressin and placebo arms was similar for grades 1–2 ACLF (55.5% and 56.6%, respectively), but lower for grade 3 ACLF (27.55% vs. 50.0%) ( p = 0.122), mainly related to RF. Conclusion Terlipressin should be used with caution in patients with HRS1 and grade 3 ACLF. Patients with hypoxaemia are at increased risk of RF and mortality.

Abstract Background: Over 20 susceptibility single-nucleotide polymorphisms (SNP) have been identified for esophageal adenocarcinoma (EAC) and its precursor, Barrett esophagus (BE), explaining a small portion of heritability. Methods: Using genetic data from 4,323 BE and 4,116 EAC patients aggregated by international consortia including the Barrett's and Esophageal Adenocarcinoma Consortium (BEACON), we conducted a comprehensive transcriptome-wide association study (TWAS) for BE/EAC, leveraging Genotype Tissue Expression (GTEx) gene-expression data from six tissue types of plausible relevance to EAC etiology: mucosa and muscularis from the esophagus, gastroesophageal (GE) junction, stomach, whole blood, and visceral adipose. Two analytical approaches were taken: standard TWAS using the predicted gene expression from local expression quantitative trait loci (eQTL), and set-based SKAT association using selected eQTLs that predict the gene expression. Results: Although the standard approach did not identify significant signals, the eQTL set–based approach identified eight novel associations, three of which were validated in independent external data (eQTL SNP sets for EXOC3, ZNF641, and HSP90AA1). Conclusions: This study identified novel genetic susceptibility loci for EAC and BE using an eQTL set–based genetic association approach. Impact: This study expanded the pool of genetic susceptibility loci for EAC and BE, suggesting the potential of the eQTL set–based genetic association approach as an alternative method for TWAS analysis.

Objective: The aim of this study was to analyze outcomes of open lobectomy (OL), VATS, and robotic-assisted lobectomy (RL). Summary Background Data: Robotic-assisted lobectomy has seen increasing adoption for treatment of early-stage lung cancer. Comparative data regarding these approaches is largely from single-institution case series or administrative datasets. Methods: Retrospective data was collected from 21 institutions from 2013 to 2019. All consecutive cases performed for clinical stage IA-IIIA lung cancer were included. Neoadjuvant cases were excluded. Propensity-score matching (1:1) was based on age, sex, race, smoking-status, FEV1%, Zubrod score, American Society of Anesthesiologists score, tumor size, and clinical T and N stage. Results: A total of 2391 RL, 2174 VATS, and 1156 OL cases were included. After propensity-score matching there were 885 pairs of RL vs OL, 1,711 pairs of RL vs VATS, and 952 pairs of VATS vs OL. Operative time for RL was shorter than VATS (P < 0.0001) and OL (P = 0.0004). Compared to OL, RL and VATS had less overall postoperative complications, shorter hospital stay (LOS), and lower transfusion rates (all P<0.02). Compared to VATS, RL had lower conversion rate (P<0.0001), shorter hospital stay (P<0.0001) and a lower postoperative transfusion rate (P =0.01). RL and VATS cohorts had comparable postoperative complication rates. In-hospital mortality was comparable between all groups. Conclusions: RL and VATS approaches were associated with favorable perioperative outcomes compared to OL. Robotic-assisted lobectomy was also associated with a reduced length of stay and decreased conversion rate when compared to VATS.

Abstract Genome-wide association studies (GWAS) of esophageal adenocarcinoma (EAC) and its precursor, Barrett’s esophagus (BE), have uncovered significant genetic components of risk, but most heritability remains unexplained. Targeted assessment of genetic variation in biologically relevant pathways using novel analytical approaches may identify missed susceptibility signals. Central obesity, a key BE/EAC risk factor, is linked to systemic inflammation, altered hormonal signaling and insulin-like growth factor (IGF) axis dysfunction. Here, we assessed IGF-related genetic variation and risk of BE and EAC. Principal component analysis was employed to evaluate pathway-level and gene-level associations with BE/EAC, using genotypes for 270 single-nucleotide polymorphisms (SNPs) in or near 12 IGF-related genes, ascertained from 3295 BE cases, 2515 EAC cases and 3207 controls in the Barrett’s and Esophageal Adenocarcinoma Consortium (BEACON) GWAS. Gene-level signals were assessed using Multi-marker Analysis of GenoMic Annotation (MAGMA) and SNP summary statistics from BEACON and an expanded GWAS meta-analysis (6167 BE cases, 4112 EAC cases, 17 159 controls). Global variation in the IGF pathway was associated with risk of BE (P = 0.0015). Gene-level associations with BE were observed for GHR (growth hormone receptor; P = 0.00046, false discovery rate q = 0.0056) and IGF1R (IGF1 receptor; P = 0.0090, q = 0.0542). These gene-level signals remained significant at q &lt; 0.1 when assessed using data from the largest available BE/EAC GWAS meta-analysis. No significant associations were observed for EAC. This study represents the most comprehensive evaluation to date of inherited genetic variation in the IGF pathway and BE/EAC risk, providing novel evidence that variation in two genes encoding cell-surface receptors, GHR and IGF1R, may influence risk of BE.

7524 Background: A multicenter study (Z4032) compared sublobar resection (SR) to sublobar resection with brachytherapy (SRB) for stage I NSCLC. Local recurrence (LR) and overall survival (OS) rates at 3-years (3-yr) were similar between arms (see abstract 113613). This analysis combines arms, and evaluates the effect of factors previously reported to impact oncological outcomes after SR. Methods: 213 patients (pts) were evaluable for analysis. LR was defined as recurrence at the staple line (local progression), same lobe away from the staple line, or within hilar nodes. Factors assessed for impact on 3-yr outcomes were: resection type (wedge/segmentectomy), margin size (<1cm /≥1cm), margin:tumor ratio (<1/ ≥1), tumor size (≤2cm/>2cm) and staple line cytology (+/-). Results: LR occurred in 27/213 (12.6%) pts and included local progression in 12/213 (5.6%). OS rate at 3-yr was 152/213 (71.4%). Trends favored the use of segmentectomy, margin:tumor ratio≥1, tumor size ≤2cm and negative staple line cytology; no factor reached statistical significance at 3-yr. The only factor significantly (p=0.02) associated with decreased 3-yr LR was margin size ≥1cm (8.3%) compared to margin<1cm (19.3%). Conclusions: SR is a good option for high-risk pts with NSCLC. The 3-yr OS rate of 71.4% and local progression rate of 5.6% are useful benchmarks to compare to other therapies. A resection margin of at least 1 cm is desirable. Clinical trial information: NCT00107172. [Table: see text]

INTRODUCTION: Volumetric laser endomicroscopy (VLE) is a high-resolution imaging modality used in Barrett’s esophagus (BE) surveillance. Established VLE scoring systems use a combination of features to guide BE dysplasia diagnosis but it remains unclear whether these features are sufficient to reach optimal VLE diagnostic performance. This study explores an exhaustive list of VLE features using one-to-one imaging to pathology correlation to develop optimal VLE diagnostic models for BE dysplasia. METHODS: In this prospective, multi-center (5 sites) study, patients with dysplastic BE underwent VLE with laser targeted regions of interest (ROIs), followed by standard surveillance endoscopy and biopsy directed to laser-marked sites. Histology was reviewed by two GI pathologists (MV, RO) who achieved a consensus diagnosis (gold-standard). ROIs were dysplastic if low-grade dysplasia (LGD), high-grade dysplasia (HGD) or intramucosal adenocarcinoma (IMC) was present. Two VLE experts (CLL, GJT) reviewed ROIs and corresponding endoscopic images to identify and define a set of VLE features associated with BE dysplasia. A multi-variable logistic regression model based on least absolute shrinkage and selection operator (LASSO) method was developed to determine the optimal diagnostic performance of these features. A decision tree model with high clinical usability also was developed to evaluate VLE diagnostic performance for real-time image interpretation. RESULTS: A total of 461 VLE ROIs with matching histology were obtained from 150 patients (Table 1). A final dataset of 55 neoplastic (LGD, 12; HGD, 24; IMC, 19) and 56 randomly selected non-dysplastic ROIs were reviewed. Twenty-eight VLE features were identified describing layering, signal intensity, surface topography, and glandular characteristics. LASSO logistic regression modeling identified 5 VLE features which when utilized optimized diagnostic performance with an area under the curve (AUC) for BE dysplasia of 0.95 (Figure 1). To improve clinical usability, a decision tree model was optimized to three levels with an AUC of 0.90 (Figure 2). CONCLUSION: This study represents the most comprehensive review of VLE features associated with BE dysplasia to date. The proposed high-performing diagnostic models suggest that VLE can be used efficiently and effectively to enhance BE surveillance by identifying ROIs for targeted biopsy. Further validation of the proposed VLE models will determine their clinical utility.