Liver transplantation and hepatocellular carcinoma 2023: a narrative review of management and outcomes.

BACKGROUND AND OBJECTIVE: Hepatocellular carcinoma (HCC) is a leading cause of morbidity and mortality in the United States. For certain patients, liver transplantation (LT) may be curative. The determination of which patients would benefit most from transplant and have the lowest risk of post-transplant recurrence has evolved as technology and treatments have expanded. We aim to review epidemiological changes in the HCC landscape, selection criteria for transplant, organ allocation, bridge therapies and post-transplant recurrence, and identify points for palliative care involvement. METHODS: Literature review was performed using PubMed MeSH searches in addition to reference list review. Additional information was retrieved from government regulatory and procurement organizations. KEY CONTENT AND FINDINGS: Metabolic and alcohol-associated liver diseases have surpassed hepatitis C as the leading causes of LT over the last decade, and have also risen as the underlying conditions seen in patients with HCC requiring LT. The United Network for Organ Sharing (UNOS) coordinates organ allocation, which includes disease severity, waitlist time, blood type, and distance from donor hospital. It has progressed to incorporate treatment response and alpha-fetoprotein into its listing criteria for patients with HCC, in addition to the well-established Milan Criteria (MC, one tumor <5 cm, ≤3 tumors ≤3 cm). Therapies to bridge patients until LT include locoregional therapies as well as immunotherapy. Dropout on the waitlist is seen up to 20% either due to decompensation or progression of disease. Recurrence of HCC post-transplant remains challenging. Given this, current guidelines recommend early palliative care involvement regardless of transplant listing status for both symptom management and advance care planning. CONCLUSIONS: For patients with HCC with favorable tumor biology, LT can be curative. However, given the symptom burden while awaiting LT and the notable number of patients who are unable to receive a transplant, early palliative care is critical in appropriate management of HCC.

Hepatitis Delta: Current Knowledge and Future Directions.

Hepatitis delta virus (HDV) infection is caused by a unique circular RNA virus that relies on both the hepatitis B virus (HBV) antigen and human host polymerases for its transmission and replication. HDV infection can be acquired simultaneously with HBV as a coinfection or as a superinfection in patients already chronically infected with HBV. Chronic HDV is the most severe and progressive form of viral hepatitis-induced liver disease, accounting for significant morbidity and mortality worldwide. Despite the severity of disease and poor clinical outcomes, there are few therapeutic options for the treatment of HDV infection. This article discusses the epidemiology of HDV globally and in the United States, the diagnosis and clinical course of HDV infection, and the current and future therapeutic options for the management of HDV infection.

External validation of the COVID-19 4C mortality score in an urban United States cohort.

BACKGROUND: Identifying patients at risk for mortality from COVID-19 is crucial to triage, clinical decision-making, and the allocation of scarce hospital resources. The 4C Mortality Score effectively predicts COVID-19 mortality, but it has not been validated in a United States (U.S.) population. The purpose of this study is to determine whether the 4C Mortality Score accurately predicts COVID-19 mortality in an urban U.S. adult inpatient population. METHODS: This retrospective cohort study included adult patients admitted to a single-center, tertiary care hospital (Philadelphia, PA) with a positive SARS-CoV-2 PCR from 3/01/2020 to 6/06/2020. Variables were extracted through a combination of automated export and manual chart review. The outcome of interest was mortality during hospital admission or within 30 days of discharge. RESULTS: This study included 426 patients; mean age was 64.4 years, 43.4% were female, and 54.5% self-identified as Black or African American. All-cause mortality was observed in 71 patients (16.7%). The area under the receiver operator characteristic curve of the 4C Mortality Score was 0.85 (95% confidence interval, 0.79-0.89). CONCLUSIONS: Clinicians may use the 4C Mortality Score in an urban, majority Black, U.S. inpatient population. The derivation and validation cohorts were treated in the pre-vaccine era so the 4C Score may over-predict mortality in current patient populations. With stubbornly high inpatient mortality rates, however, the 4C Score remains one of the best tools available to date to inform thoughtful triage and treatment allocation.

Comparing reliability of ICD-10-based COVID-19 comorbidity data to manual chart review, a retrospective cross-sectional study.

International Statistical Classification of Disease and Related Health Problems, 10th Revision codes (ICD-10) are used to characterize cohort comorbidities. Recent literature does not demonstrate standardized extraction methods. OBJECTIVE: Compare COVID-19 cohort manual-chart-review and ICD-10-based comorbidity data; characterize the accuracy of different methods of extracting ICD-10-code-based comorbidity, including the temporal accuracy with respect to critical time points such as day of admission. DESIGN: Retrospective cross-sectional study. MEASUREMENTS: ICD-10-based-data performance characteristics relative to manual-chart-review. RESULTS: Discharge billing diagnoses had a sensitivity of 0.82 (95% confidence interval [CI]: 0.79-0.85; comorbidity range: 0.35-0.96). The past medical history table had a sensitivity of 0.72 (95% CI: 0.69-0.76; range: 0.44-0.87). The active problem list had a sensitivity of 0.67 (95% CI: 0.63-0.71; range: 0.47-0.71). On day of admission, the active problem list had a sensitivity of 0.58 (95% CI: 0.54-0.63; range: 0.30-0.68)and past medical history table had a sensitivity of 0.48 (95% CI: 0.43-0.53; range: 0.30-0.56). CONCLUSIONS AND RELEVANCE: ICD-10-based comorbidity data performance varies depending on comorbidity, data source, and time of retrieval; there are notable opportunities for improvement. Future researchers should clearly outline comorbidity data source and validate against manual-chart-review.

Association of race/ethnicity and socioeconomic status with COVID-19 30-day mortality at a Philadelphia medical center using a retrospective cohort study.

COVID-19 has disproportionately affected low-income communities and people of color. Previous studies demonstrated that race/ethnicity and socioeconomic status (SES) are not independently correlated with COVID-19 mortality. The purpose of our study is to determine the effect of race/ethnicity and SES on COVID-19 30-day mortality in a diverse, Philadelphian population. This is a retrospective cohort study in a single-center tertiary care hospital in Philadelphia, PA. The study includes adult patients hospitalized with polymerase-chain-reaction-confirmed COVID-19 between March 1, 2020 and June 6, 2020. The primary outcome was a composite of COVID-19 death or hospice discharge within 30 days of discharge. The secondary outcome was intensive care unit (ICU) admission. The study included 426 patients: 16.7% died, 3.3% were discharged to hospice, and 20.0% were admitted to the ICU. Using multivariable analysis, race/ethnicity was not associated with the primary nor secondary outcome. In Model 4, age greater than 75 (odds ratio [OR]: 11.01; 95% confidence interval [CI]: 1.96-61.97) and renal disease (OR: 2.78; 95% CI: 1.31-5.90) were associated with higher odds of the composite primary outcome. Living in a "very-low-income area" (OR: 0.29; 95% CI: 0.12-0.71) and body mass index (BMI) 30-35 (OR: 0.24; 95% CI: 0.08-0.69) were associated with lower odds of the primary outcome. When controlling for demographics, SES, and comorbidities, race/ethnicity was not independently associated with the composite primary outcome. Very-low SES, as extrapolated from census-tract-level income data, was associated with lower odds of the composite primary outcome.