Psychosocial assessment in liver transplantation (LT): an analysis of short-term outcomes.

BACKGROUND: Our research showed that patients with alcohol-associated liver disease (ALD) had more severe liver disease than those without a diagnosis of ALD yet were less likely to be selected for transplant listing due to their increased psychosocial vulnerability. This study aims to answer whether this vulnerability translates to worse short-term outcomes after transplant listing. METHODS: A total of 187 patients were approved for liver transplant listing and are included in the present retrospective study. We collected dates of transplantation, retransplantation, death, and pathologic data for evidence of rejection, and reviewed alcohol biomarkers and documentation for evidence of alcohol use. RESULTS: The ALD cohort had higher Stanford Integrated Psychosocial Assessment for Transplant (SIPAT) scores (39.4 vs. 22.5, p <0.001) and Model for End-Stage Liver Disease (MELD)-Na scores (25.0 vs. 18.5, p <0.001) compared with the non-ALD cohort. Forty-nine (59.7%) subjects with ALD and 60 (57.1%, p =0.71) subjects without ALD subsequently received a liver transplant. Overall mortality was similar between the 2 groups (20.7% ALD vs. 21.0% non-ALD, p =0.97). Neither the SIPAT score (HR: 0.98, 95% CI: 0.96-1.00, p =0.11) nor MELD-Na score (HR 0.99, 95% CI 0.95-1.02, p =0.40) were associated with mortality. Patients with ALD were more likely to have alcohol biomarkers tested both before (84.1% vs. 24.8% non-ALD, p <0.001) and after liver transplantation (74.0% vs. 16.7% non-ALD, p <0.001). SIPAT score was associated with alcohol use after listing (OR: 1.03, 95% CI: 1.0-1.07, p =0.04), although a return to alcohol use was not associated with mortality (HR: 1.60, 95% CI: 0.63-4.10, p =0.33). CONCLUSION: Patients with ALD had higher psychosocial risk compared with patients without a diagnosis of ALD who were placed on the waitlist, but had similar short-term outcomes including mortality, transplantation, and rejection. Although a high SIPAT score was predictive of alcohol use, in the short-term, alcohol use after transplant listing was not associated with mortality.

Integrating a physical activity coaching intervention into diabetes care: a mixed-methods evaluation of a pilot pragmatic trial.

Physical activity (PA) counseling is under-utilized in primary care for patients with type 2 diabetes mellitus (T2D), despite improving important health outcomes, including physical function. We adapted evidence-based PA counseling programs to primary care patients, staff, and leader's needs, resulting in "Be ACTIVE" comprised of shared PA tracker data (FitBit©), six theory-informed PA coaching calls, and three in-person clinician visits. In a pilot randomized pragmatic trial, we evaluated the feasibility, acceptability, and effectiveness of Be ACTIVE. Sedentary patients with T2D were randomized to Be ACTIVE versus an enhanced control condition. Mixed methods assessments of feasibility and acceptability included costs. Objective pilot effectiveness outcomes included PA (primary outcome, accelerometer steps/week), the Short Physical Performance Battery (SPPB) physical function measure, and behavioral PA predictors. Fifty patients were randomized to Be ACTIVE or control condition. Acceptability was >90% for patients and clinic staff. Coaching and PA tracking costs of ~$90/patient met Medicare reimbursement criteria. Pre-post PA increased by ~11% (Be ACTIVE) and ~6% in controls (group difference: 1574 ± 4391 steps/week, p = .72). As compared to controls, Be ACTIVE participants significantly improved SPPB (0.9 ± 0.3 vs. -0.1 ± 0.3, p = .01, changes >0.5 points prevent falls clinically), and PA predictors of self-efficacy (p = .02) and social-environmental support (p < .01). In this pilot trial, Be ACTIVE was feasible and highly acceptable to stakeholders and yielded significant improvements in objective physical function consistent with lower fall risk, whereas PA changes were less than anticipated. Be ACTIVE may need additional adaptation or a longer duration to improve PA outcomes.

We report results from a pragmatic and behavioral theory-based physical activity (PA) coaching program, termed "Be ACTIVE," for patients with type 2 diabetes that was designed to improve PA and function for patients and to be reimbursable and feasible for primary care teams. As compared to those who did not receive coaching, patients who received Be ACTIVE had physical function improvements that lowered their risk of falls. Be ACTIVE was delivered with fidelity and was highly acceptable to the key primary care stakeholders of patients, clinic staff coaches, and clinicians. Patients particularly liked the focus on setting goals to do enjoyable activities, the accountability of wearing a PA monitor, and the support of their coach. Clinical care professionals felt that their role of encouraging behavior change (coach) and safety monitoring (clinician) aligned well with their clinical expertise, and was professionally rewarding. Coaches felt the program helped them guide many patients to overcome preexisting negative perceptions of PA and develop intrinsic motivations to be active. The costs of clinic coach time and PA tracker rental needed to deliver the 12-week program could be reimbursed by the Medicare Chronic Disease Management programs, albeit with a patient co-payment required.

Psychosocial Assessment Rather Than Severity of Liver Failure Dominates Selection for Liver Transplantation in Patients With Alcohol-Related Liver Disease.

The Stanford Integrated Psychosocial Assessment for Transplant (SIPAT) is a validated interview tool to assess psychosocial well-being in candidates for solid organ transplants, with higher scores indicating greater vulnerability. We hypothesized that patients with alcohol-related liver disease (ALD) undergoing liver transplantation (LT) evaluation would have higher SIPAT scores than candidates with non-ALD, but that only patients with ALD who have low scores would be selected. We analyzed retrospectively consecutive adults undergoing LT evaluation from June 2018 to December 2019. Comparisons between patients with ALD and patients with non-ALD were made using the nonparametric Wilcoxon rank sum test plus a multivariate analysis to determine independent predictors for approval. In the study cohort of 358 patients, there were 199 (56%) patients with ALD with a mean age of 55 years, and 133 (67%) were men. There were 159 (44%) patients with non-ALD with a mean age of 57 years, and 95 (60%) were men. Mean Model for End-Stage Liver Disease-sodium scores were similar for selected versus not selected patients with ALD (25 versus 25.6) and selected versus not selected patients with non-ALD (18.3 versus 17.4), although the ALD group had substantially higher Model for End-Stage Liver Disease scores. Patients with ALD had higher mean SIPAT composite and individual domain scores compared with their non-ALD counterparts. SIPAT scores were not affected by age or sex. Proportionately more candidates with non-ALD were selected compared to candidates with ALD (68% versus 42%; P < 0.001; odds ratio for approval of non-ALD versus ALD, 2.9; 95% confidence interval, 1.8-4.7; P < 0.001). Composite SIPAT scores were lower in the selected versus nonselected in both ALD and non-ALD groups, although the SIPAT scores were significantly higher in selected patients with ALD (median, 39) than selected patients with non-ALD (median, 23; P = 0.001). Psychosocial assessment has a greater influence than acuity of liver failure on the selection of patients with ALD for LT listing, whereas psychosocial assessment has a minor influence on the selection of non-ALD candidates.

Assessing and Augmenting Predictive Models for Hospital Readmissions With Novel Variables in an Urban Safety-net Population.

BACKGROUND: The performance of existing predictive models of readmissions, such as the LACE, LACE+, and Epic models, is not established in urban safety-net populations. We assessed previously validated predictive models of readmission performance in a socially complex, urban safety-net population, and if augmentation with additional variables such as the Area Deprivation Index, mental health diagnoses, and housing access improves prediction. Through the addition of new variables, we introduce the LACE-social determinants of health (SDH) model. METHODS: This retrospective cohort study included adult admissions from July 1, 2016, to June 30, 2018, at a single urban safety-net health system, assessing the performance of the LACE, LACE+, and Epic models in predicting 30-day, unplanned rehospitalization. The LACE-SDH development is presented through logistic regression. Predictive model performance was compared using C-statistics. RESULTS: A total of 16,540 patients met the inclusion criteria. Within the validation cohort (n=8314), the Epic model performed the best (C-statistic=0.71, P<0.05), compared with LACE-SDH (0.67), LACE (0.65), and LACE+ (0.61). The variables most associated with readmissions were (odds ratio, 95% confidence interval) against medical advice discharge (3.19, 2.28-4.45), mental health diagnosis (2.06, 1.72-2.47), and health care utilization (1.94, 1.47-2.55). CONCLUSIONS: The Epic model performed the best in our sample but requires the use of the Epic Electronic Health Record. The LACE-SDH performed significantly better than the LACE and LACE+ models when applied to a safety-net population, demonstrating the importance of accounting for socioeconomic stressors, mental health, and health care utilization in assessing readmission risk in urban safety-net patients.

Global Epidemiology, Prevention, and Management of Hepatocellular Carcinoma.

The incidence rate of hepatocellular carcinoma (HCC) is rising. It is one of the most common cancers worldwide and accounts for substantial morbidity and mortality. Chronic hepatitis B virus (HBV) infection, chronic hepatitis C virus (HCV) infection, and nonalcoholic fatty liver disease (NAFLD) are the most important etiologies of HCC, and effective screening and management strategies are crucial to reduce the HCC risk. For HBV, which accounts for the majority of HCC cases, most infections were acquired via perinatal and early horizontal transmission. Universal vaccination of newborns has led to a decline in HCC incidence compared with the pre-vaccination era. Effective antiviral therapies with nucleos(t)ide analogues or pegylated interferon reduced the incidence of HCC. For HCV, the emergence of effective direct-acting antiviral (DAA) agents has substantially improved cure rates; therefore all patients with HCV should be considered for DAA treatment. The most important obstacle in eliminating HCV is access to therapy. For NAFLD, the global incidence is increasing rapidly, thus its impact on HCC incidence may be explosive. Progression to HCC in NAFLD happens particularly in those with nonalcoholic steatohepatitis (NASH) and exacerbated by metabolic syndrome, or PNPLA3 gene polymorphism. Lifestyle changes are imperative while drug therapy has yet to demonstrate substantive protective effects on HCC prevention. For management of HCC, early diagnosis via imaging surveillance among persons with HCC risk factors remains the most important strategy to identify early-stage disease appropriate for resection or transplantation.

Impact of non-cardiovascular disease burden on thirty-day hospital readmission in heart failure patients.

BACKGROUND: Little is known about the impact of non-cardiovascular disease (CVD) burden on 30- -day readmission in heart failure (HF) patients. The aim of the study was to assess the role of non-CVD burden on 30-day readmission in HF patients. \ METHODS: We analyzed the effect of non-CVD burden by frequency of ICD-9 code categories on readmis-sions of patients discharged with a primary diagnosis of HF. We first modeled the probability of readmis-sion within 30 days as a function of demographic and clinical covariates in a randomly selected training dataset of the total cohort. Variable selection was carried out using a bootstrap LASSO procedure with 1000 bootstrap samples, the final model was tested on a validation dataset. Adjusted odds ratios and confidence intervals were reported in the validation dataset. RESULTS: There were a total of 6228 HF hospitalizations, 1523 (24%) with readmission within 30 days of discharge. The strongest predictor for 30-day readmissions was any hospital admission in the prior year (p < 0.001). Cardiovascular risk factors did not enter the final model. However, digestive system diseases increased the risk for readmission by 17% for each diagnosis (p = 0.046), while respiratory diseases and genitourinary diseases showed a trend toward a higher risk of readmission (p = 0.07 and p = 0.09, respectively). Non-CVDs out-competed cardiovascular covariates previously reported to predict readmission. CONCLUSIONS: In patients with HF hospitalization, prior admissions predicted 30-day readmission. Diseases of the digestive system also increase 30-day readmission rates. Assessment of non-CVD burden in HF patients could serve as an important risk marker for 30-day readmissions.

In silico cardiac risk assessment in patients with long QT syndrome: type 1: clinical predictability of cardiac models.

OBJECTIVES: The study was designed to assess the ability of computer-simulated electrocardiography parameters to predict clinical outcomes and to risk-stratify patients with long QT syndrome type 1 (LQT1). BACKGROUND: Although attempts have been made to correlate mutation-specific ion channel dysfunction with patient phenotype in long QT syndrome, these have been largely unsuccessful. Systems-level computational models can be used to predict consequences of complex changes in channel function to the overall heart rhythm. METHODS: A total of 633 LQT1-genotyped subjects with 34 mutations from multinational long QT syndrome registries were studied. Cellular electrophysiology function was determined for the mutations and introduced in a 1-dimensional transmural electrocardiography computer model. The mutation effect on transmural repolarization was determined for each mutation and related to the risk for cardiac events (syncope, aborted cardiac arrest, and sudden cardiac death) among patients. RESULTS: Multivariate analysis showed that mutation-specific transmural repolarization prolongation (TRP) was associated with an increased risk for cardiac events (35% per 10-ms increment [p < 0.0001]; ≥upper quartile hazard ratio: 2.80 [p < 0.0001]) and life-threatening events (aborted cardiac arrest/sudden cardiac death: 27% per 10-ms increment [p = 0.03]; ≥upper quartile hazard ratio: 2.24 [p = 0.002]) independently of patients' individual QT interval corrected for heart rate (QTc). Subgroup analysis showed that among patients with mild to moderate QTc duration (<500 ms), the risk associated with TRP was maintained (36% per 10 ms [p < 0.0001]), whereas the patient's individual QTc was not associated with a significant risk increase after adjustment for TRP. CONCLUSIONS: These findings suggest that simulated repolarization can be used to predict clinical outcomes and to improve risk stratification in patients with LQT1, with a more pronounced effect among patients with a lower-range QTc, in whom a patient's individual QTc may provide less incremental prognostic information.

Manic/hypomanic symptom burden and cardiovascular mortality in bipolar disorder.

OBJECTIVES: To compare the risk for cardiovascular mortality between bipolar I and bipolar II subtypes and determine correlates of cardiovascular mortality. Bipolar disorder conveys an increased risk of cardiovascular mortality. METHODS: Participants with major affective disorders were recruited for the National Institute of Mental Health Collaborative Depression Study and followed prospectively for up to 25 years. A total of 435 participants met the diagnostic criteria for bipolar I (n = 288) or bipolar II (n = 147) disorder based on Research Diagnostic Criteria at intake and measures of psychiatric symptoms during follow-up. Diagnostic subtypes were contrasted by cardiovascular mortality risk using Cox proportional hazards regression. Affective symptom burden (the proportion of time with clinically significant manic/hypomanic or depressive symptoms) and treatment exposure were additionally included in the models. RESULTS: Thirty-three participants died from cardiovascular causes. Participants with bipolar I disorder had more than double the cardiovascular mortality risk of those with bipolar II disorder, after controlling for age and gender (hazard ratio = 2.35, 95% Confidence Interval = 1.04-5.33; p = .04). The observed difference in cardiovascular mortality between these subtypes was at least partially confounded by the burden of clinically significant manic/hypomanic symptoms which predicted cardiovascular mortality independent of diagnosis, treatment exposure, age, gender, and cardiovascular risk factors at intake. Selective serotonin uptake inhibitors seemed protective although they were introduced late in follow-up. Depressive symptom burden was not related to cardiovascular mortality. CONCLUSIONS: Participants with bipolar I disorder may face a greater risk of cardiovascular mortality than those with bipolar II disorder. This difference in cardiovascular mortality risk may reflect manic/hypomanic symptom burden.

Functional variant in a bitter-taste receptor (hTAS2R16) influences risk of alcohol dependence.

A coding single-nucleotide polymorphism (cSNP), K172N, in hTAS2R16, a gene encoding a taste receptor for bitter beta -glucopyranosides, shows significant association with alcohol dependence (P = .00018). This gene is located on chromosome 7q in a region reported elsewhere to exhibit linkage with alcohol dependence. The SNP is located in the putative ligand-binding domain and is associated with an increased sensitivity to many bitter beta -glucopyranosides in the presence of the N172 allele. Individuals with the ancestral allele K172 are at increased risk of alcohol dependence, regardless of ethnicity. However, this risk allele is uncommon in European Americans (minor-allele frequency [MAF] 0.6%), whereas 45% of African Americans carry the allele (MAF 26%), which makes it a much more significant risk factor in the African American population.

Aggregated Markov Processes and Channel Gating Kinetics.

A finite state Markov process is aggregated into several groups. Rather than observing the underlying Markov process, one is only able to observe the aggregated process. What can be learned about the underlying process from the aggregated one? Such questions arise in the study of gating mechanisms in ion channels in muscle and nerve cell membranes. We discuss some recent results and their implications.