Background & Aims Hepatocellular carcinoma (HCC) can develop in individuals without cirrhosis. We investigated risk factors for development of HCC in the absence of cirrhosis in a US population. Methods We identified a national cohort of 1500 patients with verified HCC during 2005–2010 in the US Veterans Administration (VA), and reviewed their full VA medical records for evidence of cirrhosis and risk factors for HCC. Patients without cirrhosis were assigned to categories of level 1 evidence for no cirrhosis (very high probability) or level 2 evidence for no cirrhosis (high probability), based on findings from histologic analyses, laboratory test results, markers of fibrosis from non-invasive tests, and imaging features. Results A total of 43 (2.9%) of the 1500 patients with HCC had level 1 evidence for no cirrhosis and 151 (10.1%) had level 2 evidence for no cirrhosis; the remaining 1203 patients (80.1%) had confirmed cirrhosis. Compared to patients with HCC in presence of cirrhosis, greater proportions of patients with HCC without evidence of cirrhosis had metabolic syndrome, non-alcoholic fatty liver disease (NAFLD), or no identifiable risk factors. Patients with HCC without evidence of cirrhosis were less likely to have abused alcohol or have HCV infection than patients with cirrhosis. Patients with HCC and NAFLD (unadjusted odds ratio, 5.4; 95% confidence interval, 3.4–8.5) or metabolic syndrome (unadjusted odds ratio, 5.0; 95% confidence interval, 3.1–7.8) had more than a 5-fold risk of having HCC in the absence of cirrhosis, compared to patients with HCV-related HCC. Conclusions Approximately 13% of patients with HCC in the VA system do not appear to have cirrhosis. NAFLD and metabolic syndrome are the main risk factors HCC in the absence of cirrhosis.

Background & Aims Non-alcoholic fatty liver disease (NAFLD) is a risk factor for hepatocellular carcinoma (HCC). However, no systemic studies from the United States have examined temporal trends, HCC surveillance practices, and outcomes of NAFLD-related HCC. Methods We identified a national cohort of 1500 patients who developed HCC from 2005 through 2010 from Veterans Administration (VA) hospitals. We reviewed patients’ full VA medical records; NAFLD was diagnosed based on histologic evidence for, or the presence of, metabolic syndrome in the absence of hepatitis C virus (HCV) infection, hepatitis B, or alcoholic liver disease. We compared annual prevalence values for the main risk factors (NAFLD, alcohol abuse, HCV), as well HCC surveillance and outcomes, among HCC patients. Results NAFLD was the underlying risk factor for HCC in 120 patients (8.0%); the annual proportion of NAFLD-related HCC remained relatively stable (7.5%–12.0%). In contrast, the proportion of HCC cases associated with HCV increased from 61.0% in 2005 (95% confidence interval, 53.1%–68.9%) to 74.9% in 2010 (95% confidence interval, 69.0%–80.7%). The proportion of HCC cases associated with only alcohol abuse decreased from 21.9% in 2005 to 15.7% in 2010, and the annual proportion of HCC cases associated with hepatitis B remained relatively stable (1.4%–3.5%). A significantly lower proportion of patients with NAFLD-related HCC had cirrhosis (58.3%) compared to patients with alcohol- or HCV-related HCC (72.4% and 85.6%, respectively; P<.05). A significantly higher percentage of patients with NAFLD-related HCC did not receive HCC surveillance in the 3 years before their HCC diagnosis, compared to patients with alcohol- or HCV-associated HCC. A lower proportion of patients with NAFLD-related HCC received HCC-specific treatment (61.5%) than of patients with HCV-related HCC (77.5%; P<.01). However, 1-year survival did not differ among patients with HCC related to different risk factors. Conclusions NAFLD is the third most common risk factor for HCC in the VA. The proportion of NAFLD-related HCC was relatively stable from 2005 through 2010. Although patients with NAFLD-related HCC receive less HCC surveillance and treatment, a similar proportion survive for 1 year, compared to patients with alcohol- or HCV-related HCC.

PURPOSE Venous thromboembolism (VTE), especially pulmonary embolism (PE) and lower extremity deep vein thrombosis (LE-DVT), is a serious and potentially preventable complication for patients with cancer undergoing systemic therapy. METHODS Using retrospective data from patients diagnosed with incident cancer from 2011-2020, we derived a parsimonious risk assessment model (RAM) using least absolute shrinkage and selection operator regression from the Harris Health System (HHS, n = 9,769) and externally validated it using the Veterans Affairs (VA) health care system (n = 79,517). Bootstrapped c statistics and calibration curves were used to assess external model discrimination and fit. Dichotomized risk strata using integer scores were created and compared against the Khorana score (KS). RESULTS Incident VTE and PE/LE-DVT at 6 months occurred in 590 (6.2%) and 437 (4.6%) patients in HHS and 4,027 (5.1%) and 3,331 (4.2%) patients in the VA health care system. Assessed at the time of systemic therapy initiation, the new RAM included components of the KS with the modified cancer subtype, cancer staging, systemic therapy class, history of VTE, history of paralysis/immobility, recent hospitalization, and Asian/Pacific Islander race. The c statistic was 0.71 in HHS and 0.68 in the VA health care system (compared with 0.65 and 0.60, respectively, for KS). Furthermore, the new RAM appropriately reclassified 28% of patients and increased the proportion of VTEs in the high-risk group from 37% to 68% in the validation data set. CONCLUSION The novel RAM stratified patients with cancer into a high-risk group with 8%-10% cumulative incidence of VTE and 7% PE/LE-DVT at 6 months ( v 3% and 2%, respectively, in the low-risk group). The model had improved performance over the original KS and doubled the number of VTE events in the high-risk stratum. We encourage additional external validation from prospective studies.

A pool of dynein anchored to the nuclear surface mediates many processes at G2/M, although its spatial and temporal regulation is poorly understood. Asunder, a critical regulator of dynein recruitment to the nuclear envelope, works in the nucleus as part of Integrator, an snRNA-processing complex, to mediate this event.

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Background: Unmet needs among hospitalized patients with HIV may prevent engagement in HIV care leading to worse clinical outcomes. Our aim was to examine the role of unmet subsistence needs (e.g. housing, transportation, food) and medical needs (e.g. mental health, substance abuse treatment) as barriers for retention in HIV care and viral load suppression. Methods: We utilized data from the Mentor Approach for Promoting Patients’ Self-Care intervention study, the enrolled hospitalized HIV-patients at a large publicly funded hospital between 2010 and 2013, who were out-of-care. We examined the effect of unmet needs on retention in HIV care (attended HIV appointments within 0–30 days and 30–180 days) and viral load suppression, six months after discharge. Results: 417 participants were enrolled, 78% reported having ≥1 unmet need at baseline, most commonly dental care (55%), financial (43%), or housing needs (34%). Participants with unmet needs at baseline, compared to those with no needs, were more likely to be African American, have an existing HIV diagnosis and insured. An unmet need for transportation was associated with lower odds of retention in care (OR: 0.5; 95% CI:0.34–0.94, p=0.03), even after adjusting for other factors. Compared to participants with no need, those who reported ≥3 unmet subsistence needs were less likely to demonstrate viral load improvement (OR: 0.51; 95% CI:0.28–0.92; p=0.03) and to be retained in care (OR: 0.52; 95% CI:0.28–0.95; p=0.03). Conclusion: Broader access to programs that can assist in meeting subsistence needs among hospitalized patients could have significant individual and public health benefits.

Few interventions have been shown to improve retention in HIV care. We recently completed a randomized, controlled trial of a peer mentoring intervention, which failed to increase retention in care or HIV suppression. We sought to gain insight into this negative result and elicit suggestions for future interventions. We conducted semi-structured one-on-one interviews with a sub-sample of participants and all available interventionists after completion of the primary study. Interviews were coded by two researchers and thematically analyzed. Participants in the intervention arm (N = 16) reported good rapport with and benefit from peer mentoring and found the mentors helpful in facilitating the transition from hospital to out-patient clinic. Control arm participants (N = 9) reported similar emotional and social support benefits from the health educators. In both arms, ongoing challenges including completing paperwork, securing transportation, and rescheduling missed appointments were cited, along with internalized stigma and lack of will to seek care, despite the mentors’ best efforts. Suggested improvements to the intervention included: more frequent contact with interventionists; additional support for mental health problems; and targeting overall health rather than a more selective focus on HIV. Mentors and health educators agreed with the participant-reported barriers and added that some participants were too sick to meaningfully participate in the intervention, while others appeared unwilling to engage with the interventionists in a meaningful way. Mentoring was highly acceptable and felt to be impactful, however it was not sufficient to overcome structural barriers or stigma and low motivation in some participants. The attention control intervention may have had an unintended positive impact. Future interventions should focus on broad aspects of health and well-being.