Society: SSAT

Background: The majority of HCC patients within Milan criteria, compete with cirrhosis patients with high MELD for liver transplantation based on an exceptional score which is the calculated MELD at registration, 28 after six months of waiting, 31 after 1 year and thereafter capped at 34 after one and a half years. In competitive UNOS regions, HCC patients may have to wait for more than a year before they receive a transplant. This prolonged waiting can lead to progression of their cancer and/or cirrhosis and loss of candidature for transplantation while may have been acceptable resection candidates at the beginning of their waiting period. In such regions, survival may be better with hepatectomy as it obviates the waiting.

Aim: To compare the survival of HCC patients with single tumor and low Child’s class after liver transplantation or hepatectomy.

Material and Methods: We used the UNOS and NCDB databases to make the comparison. Between 2004 to 2013, 13, 519 patients with HCC were registered for liver transplantation in the US. Of them 5, 338 were of Child’s class A; sufficient tumor details were available for 2,726 cases allowing us to select cases with single tumor of up to 5 cm size and within Milan criteria were included in the study. The NCDB database does not record preoperative staging information. Therefore, we selected patients with single tumor of up to 5 cm in size at the time of diagnosis and without major vascular invasion at pathologic staging after partial hepatectomy. 2, 507 patients were included. We assumed that these patients were Child’s class A or early B as the NCDB does not record CPT score . AKaplan-Meier survival analysis was performed. We used intention to treat principles and included all patients registered for transplantation whether or not they were transplanted. Survival analysis was was initiated at the time of listing for transplant. Reasons for removal from waiting list were summarized.

Results: The mean age was 58.8 years (std. dev. 7.3) and 77% were male in the transplant (UNOS) arm. The mean age was 62.4 years (std. dev. 11) and 71.8% were male in the hepatectomy (NCDB) arm. Kaplan-Meier survival estimates show that for the first 700 days patients have similar chances of survival. However, as time goes by, patients in the UNOS group experience better survival rates. The Log-rank test for equality of survivor functions, suggests that UNOS patients have better survival rates compared with NCBD (Chi-sq(1) = 83.8, p < 0.001).

Conclusion: In cirrhotic patients with HCC, survival after partial hepatectomy was non-inferior to that after transplantation for the first two years for low Child’s class liver disease. Resection should be strongly considered in eligible patients and this strategy could improve organ allocation.

Introduction
Unplanned care (readmission and emergency room (ER) visits) is a Center for Medicare Services measure of quality of care. Patients who undergo major gastrointestinal (GI) surgery are at high risk for postoperative complications which lead to unplanned care. We implemented a pilot program of postoperative outpatient monitoring using an FDA-approved wearable biometric monitoring device (BMD) to identify patients who suffered setbacks to mitigate severity of significant complications and to facilitate intervention for minor setbacks so as to prevent unplanned care.

Methods
Adult patients who underwent high-risk GI operations from the colorectal and hepatopancreatobiliary services were prospectively enrolled in a quality improvement remote monitoring project from discharge until 30 days after surgery. The BMD relayed biometric data (temperature, heart rate, respiratory rate, and activity) to a cloud-based monitoring dashboard. Patients with abnormal data (alerts) were contacted and, if necessary, care was escalated to their clinical team. In-hospital death and a home-monitoring period of less than 7 days were exclusion criteria. The primary outcome was rate of avoidance of unplanned care. Secondary outcomes were 30-day ER visit rates, readmission rates, and their associated monitoring device-detection rate.

Results
A total of 129 patients were enrolled but 25 (19.4%) patients were excluded from analysis due to death (n=2) and monitoring <7 days (n=23). Of the 104 patients included in analysis, the average age was 60±13.4 year and 40 (38.5%) patients were female. We contacted 78 (75.0%) patients at least once in response to 192 alerts. In 17 (8.9%) of 192 cases, the setback was managed in the outpatient setting successfully avoiding unplanned care. In 145 (75.5%) cases, escalation was not required and in 37 (19.3%) cases, the patients could not be reached. There were a total of 22 ER visits by 18 (17.3%) patients. Nineteen patients (18.3%) had a total of 24 readmissions of which 5 (20.8%) were direct and not via the ER. BMD alerts resulted in 8 patient (7.7%) escalations that translated to ER visits and/or readmission. In 7 instances (6.7%) gaps in biometric data interfered with our ability to detect setbacks that resulted in unplanned care.

Conclusion
Patients who undergo major gastrointestinal operations can be safely monitored remotely. The technological and logistic complexity of monitoring outpatients are significant and require further optimization. Biometric findings that merit clinical alerts in the postoperative setting require refinement. However, this pilot data suggests remote monitoring has the potential to both reduce unplanned care and assist in detection of clinical deterioration.

Introduction. Chronic inflammation leads to liver fibrosis and, potentially, cirrhosis. Hepatic stellate cell (HSC) activation represents the initial step of liver fibrogenesis since the HSC is the major producer of extracellular matrix (ECM). Understanding the mechanism of inflammation and fibrogenesis is critically important to developing treatments for liver fibrosis. NF-ΚB is a key inflammatory signaling pathway, and the survival of activated HSC was found to be NF-KB dependent. Using a fragment-based drug design approach, our team previously designed and synthesized a group of small molecule compounds for cancer therapy. After screening these molecules in cancer cells and activated HSC In vivo and In vitro, HJC0416 was identified to be a novel, orally bioavailable molecules with potent anti-cancer, anti-inflammatory and anti-fibrotic effects. For example, HJC0416 induced activated HSC cell cycle arrest and apoptosis, inhibited endogenous and TGFβ-stimulated ECM expression. However, the molecular mechanisms of HJC0416’s anti-fibrogenetic effects in HSC remain largely unknown. In this study, we examined the effects of HJC0416 on NF-KB and its associate factor HSP90 in HSC in vitro.
Methods. Activated human HSC line LX-2 was treated with either JHC0416 or 17-AAG, then exposed to TNFα or TGFβ as indicated. Nuclear and cytosolic proteins were isolated for Western blots or immunofluorescence assay.
Results. HJC0416 treatment significantly attenuated TNFα–induced IκBα phosphorylation, NF-KBp65 nuclear translocation and DNA binding activity. Endogenous and TNFα–induced p65 phosphorylation of Ser536 was suppressed by HJC0416. Notably, HJC0416 treatment dose-dependently down-regulated the expression of IKKβ, RIP1 and AKT, FAK, CDK9, all of which are HSP90 interacting proteins, suggesting that HSP90 may be involved in HJC0416 regulated-NF-KB signaling and fibrogenesis in HSC. Our results confirmed that HSP90 specific inhibitor 17-AAG prevented TNFα-induced IκBα phosphorylation and degradation, p65 nuclear translocation and DNA binding. Similar with previous HJC0416 data, 17-AAG inhibited endogenous and TGFβ-stimulated fibrosis markers collagen type I and fibronectin. Conclusion. The anti-fibrogenetic effect of orally bioavailable compound HJC0416 is through the HSP90/NF-KB pathway. HJC0416 may be a promising drug candidate for liver fibrosis treatment.

Background
Intra-abdominal infections have a high morbidity and mortality rate and require early diagnosis and management. The COVID-19 pandemic makes care disruptions and delayed presentation an important concern. Little is known about the disparity in excess mortality and racial/ethnic disparities in intra-abdominal infections-related mortality before and during the pandemic through September 2022.
Methods
Death records among Americans aged ≥25 years were obtained from the National Vital Statistics System (NVSS), which reports over 99% of deaths in the United States. Using ICD-10 codes, intra-abdominal infections were defined as acute cholecystitis, acute appendicitis, C. difficile colitis, diverticulitis, and pyelonephritis. We calculated age-standardized mortality rates (ASMR) (per 100,000 population) and years of potential life lost (YPLL) from 1999 to 2021. Predicted ASMRs and YPLLs during the pandemic based on the observed trend from 1999 to 2019 were estimated. Excess death was defined as the percentage difference between the observed and the predicted values. Joinpoint analysis was used to calculate annual percentage change (APC). Monthly ASMR was updated through September 2022.
Results
From 1999 to 2021, there were 469,655 intra-abdominal infections-related deaths. Of these, 82.4% were Whites, followed by Blacks (8.6%), Hispanics (6.32%), Asians/Pacific Islanders (2.06%), and American Indians/Alaska Natives (0.59%). The overall intra-abdominal infections-related ASMR increased from 2001 to 2006 (APC 6.9, P<0.001), followed by a decreasing trend from 2006 to 2015 (APC -0.8, P<0.05), and sharply decreased to 8.38 in 2019 (APC -5.3, P<0.01). During the pandemic, ASMR rose to 8.64 in 2020 and 9.23 in 2021, leading to excess mortality of 10.6% in 2020 and 29.4% in 2021. (Table 1) Excess mortality was observed across all racial/ethnic groups in 2020, with Hispanics having the highest excess mortality rates, followed by Whites, while Blacks had the lowest. Focusing on deaths below the age of 65, significant racial/ethnic disparities in excess YPLLs, with Hispanics showing the greatest excess YPLL and Whites experiencing the lowest. Furthermore, the monthly trend of ASMR updated through 9/2022 showed persistent excess death, with peaked ASMR occurring in 1/2022 and no significant difference in the decreasing trends between 1-9/2021 and 1-9/2022. Notably, the gaps between predicted and observed ASMR in both Blacks and Whites widened in 2022 when compared to 2021.
Conclusions
We observed a large increase in intra-abdominal infections-related death during the pandemic in the U.S. Both ASMR and YPLL increased across all racial/ethnic groups but also widened existing disparities during the COVID-19 pandemic. Hispanics with intra-abdominal infections experienced a disproportionate excess death compared to Whites and Blacks.

Table 1. All-cause age-standardized mortality rate (ASMR) in adults (≥25 years) and years of potential life lost (YPLL) from premature deaths (<65 years) attributable to Intra-abdominal infections per 100,000 persons in the United States overall and by race/ethnicity, 1999-2021

Table 1. All-cause age-standardized mortality rate (ASMR) in adults (≥25 years) and years of potential life lost (YPLL) from premature deaths (<65 years) attributable to Intra-abdominal infections per 100,000 persons in the United States overall and by race/ethnicity, 1999-2021

Figure 1. All-cause age-standardized mortality rate (ASMR) in adults (≥25 years) and years of potential life lost (YPLL) from premature deaths (<65 years) attributable to Intra-abdominal infections per 100,000 persons in the United States overall between 1/2018 and 9/2022 by monthly

Figure 1. All-cause age-standardized mortality rate (ASMR) in adults (≥25 years) and years of potential life lost (YPLL) from premature deaths (<65 years) attributable to Intra-abdominal infections per 100,000 persons in the United States overall between 1/2018 and 9/2022 by monthly

Background: Postoperative complications are associated with mortality in geriatric patients following major abdominal operations. Predicting which geriatric patients are at the highest risk for mortality after a complication may aid in preventing deaths. Failure to rescue (FTR) is a publicly reported metric of quality and is broadly defined as mortality after a potentially preventable complication following surgery. Typically, a 30-day follow-up period is used for reporting FTR, but there is concern that this inadequately captures postoperative deaths; instead, a 90-day follow-up period has been advocated. Our objective was to examine the association of a validated frailty metric, the Risk Analysis Index (RAI-A), with 90-day FTR (FTR-90).

Methods: Patients 65 years or older who underwent a major abdominal operation between 2014-2020 at a quaternary care center were abstracted. Institutional data, the ACS NSQIP Procedure Targeted Participant Use Data, and Geriatric Surgery Research File were merged and 90-day clinical outcomes were collected. Univariable analysis compared baseline characteristics. Multivariable logistic regression was used to evaluate the association between RAI-A and FTR-90.

Results: Of the 1565 patients included in the institutional data abstraction, 398 patients had a postoperative complication and were included. Fifty-two (13.0%) of the patients with a postoperative complication died during 90-day follow-up. Of the 398 patients, 178 (44.7%) underwent colorectal surgery, 135 (33.9%) underwent hepatopancreatobiliary surgery, and 85 (21.4%) underwent other types of major abdominal operations. Patients who experienced FTR-90 were older (median age 76 vs 73, p = 0.002), had a greater preoperative ASA classification (p < 0.001), and had a higher NSQIP estimated risk of morbidity (0.33% vs 0.20%, p < 0.001) and mortality (0.067% vs 0.012%, p < 0.001). The FTR-90 group had a greater median RAI-A score (23 vs 19, p = 0.002). A greater proportion of patients with FTR-90 experienced a major complication after surgery (pneumonia, re-intubation, prolonged ventilation, myocardial infarction, cardiac arrest, pulmonary embolism, renal failure, sepsis, septic shock, deep wound or organ space infection, and stroke) (86.5% vs 47.7%, p < 0.0001). The RAI-A score was independently associated with FTR-90 (OR 1.04, 95% CI 1.0042 – 1.077, p = 0.028), but was not independently associated with FTR-30 (p = 0.13).

Conclusion: Pre-operative frailty, as defined by RAI-A, is independently associated with failure to rescue at 90 days, but not 30 days, after major abdominal surgery. The use of a 90-day failure to rescue definition captured nearly 57% more deaths compared to 30-day failure to rescue. Frailty has major implications beyond the typical 30-day follow-up period and a longer follow-up period must be considered in this patient population.

OBJECTIVES: Neoadjuvant therapy (NT) is increasingly used for many localized gastrointestinal (GI) cancers. However, there is a paucity of data assessing patient experience during NT and its impact on health-related quality of life (HRQOL). Given the limitations of traditional surveys administered at regularly scheduled physician appointments, we customized a smartphone app for prospective real-time assessment of patient experience during NT.

METHODS: Patients with locally GI cancers receiving NT were prospectively enrolled if age>18, English-speaking, owned a smartphone, and were treatment naive. A customized version of the SeamlessMD mobile application was developed with engagement from patient and physician stakeholders. HRQOL, measured using the Functional Assessment of Cancer Therapy-General (FACT-G) questionnaire, was pushed directly through the smartphone app at baseline, every 30 days, and at completion of NT. Participants were also encouraged to use the mood tracker, symptom tracker, and free-text journaling as often as desired during NT. Mean total overall and sub-section HRQOL scores were calculated at each time point during NT and differences assessed using one way repeated measured ANOVA. Statistical significance was achieved if p<0.05.

RESULTS: Among 104 enrolled patients, mean age was 60.4±11.5 years and 55.2% were male. The most common cancer diagnoses were rectal (38.5%), pancreatic (37.5%), and esophageal (15.4%). After a mean 3.0 months of NT, 71 patients (68.3%) underwent surgical resection whereas 10 (9.6%) had a complete clinical response resulting in active surveillance, and 25 (24.0%) were unable to have surgery because of disease progression, unresectable disease, or poor performance status. Main side effects of NT were nausea, neutropenia, and fatigue (11.5%, 9.6%, 6.7%, respectively). Mean overall FACT-G scores did not significantly change during NT (Figure 1, p=0.73). Functional wellbeing (FWB) scores were consistently the lowest (mean score 15.0) whereas social wellbeing (SWB) scores were the highest (mean score 21.5) at all time points. FACT subscores did not change significantly during NT. The most common symptoms reported during NT were fatigue, trouble sleeping, and anxiety (39.3%, 34.5%, and 28.3% of patient entries, respectively). Qualitative analysis of free-text journaling entries identified anxiety, fear, and frustration as the most common themes, but also the importance of social support systems and confidence in their health care providers.

CONCLUSIONS: While patient symptom burden remains high, results of this prospective cohort study suggest HRQOL is maintained during NT for localized GI cancers. Future research will evaluate whether patient-reported measures are associated with outcomes of NT and/or surgical resection.

HRQOL: Health-Related Quality of Life, NT: Neoadjuvant Therapy, GI: Gastrointestinal, FACT-G: Functional Assessment of Cancer Therapy-General, PWB: Physical Well Being, SWB: Social Well Being, EWB: Emotional Well Being, FWB: Functional Well Being

HRQOL: Health-Related Quality of Life, NT: Neoadjuvant Therapy, GI: Gastrointestinal, FACT-G: Functional Assessment of Cancer Therapy-General, PWB: Physical Well Being, SWB: Social Well Being, EWB: Emotional Well Being, FWB: Functional Well Being

Emily Huang

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