The Complex Relationship Between Pain, Mental Health, and Quality-of-Life in Patients With Cirrhosis Undergoing Liver Transplant Evaluation.

GOALS AND BACKGROUND: Patients with cirrhosis undergoing liver transplant evaluation have high rates of pain and mental health comorbidities; both may significantly impair health-related quality of life (HRQL). We investigated the association between pain, anxiety/depression, and HRQL in this population. STUDY: In 62 patients with cirrhosis undergoing liver transplant evaluation, we performed 4 validated assessments to characterize: pain (Brief Pain Inventory-Short Form, BPI-SF), anxiety (Generalized Anxiety Disorder-7), depression (Patient Health Questionnaire-8), and liver-specific HRQL (Chronic Liver Disease Questionnaire). The presence of pain was determined using the BPI-SF screening question. Linear regression was used to identify demographic or clinical factors predictive of pain severity (PS) and interference (PI) and to evaluate the association between pain, anxiety/depression, and HRQL. RESULTS: Seventy-one percent of patients reported pain, 26% had clinical depression, and 24% had moderate-severe anxiety. Neither liver disease severity, nor its complications were associated with pain (PS or PI), but anxiety and depression were predictors of pain on bivariate analysis. Only depression remained a significant predictor of PS (b=0.28, P<0.05) and PI (b=0.30, P<0.05) in multivariable models. HRQL was inversely associated with PS, PI, depression, and anxiety, but only anxiety (b=-0.14, P=0.003) remained associated with HRQL in the adjusted model. CONCLUSIONS: Pain is present in over 70% of patients with cirrhosis undergoing liver transplant evaluation. Anxiety and depression were highly correlated with pain and appeared to be key drivers in predicting poor HRQL. Evaluating and managing mental health comorbidities should be explored as a strategy to improve HRQL in patients with cirrhosis and pain.

The burden of significant pain in the cirrhosis population: Risk factors, analgesic use, and impact on health care utilization and clinical outcomes.

BACKGROUND: We aimed to characterize pain and analgesic use in a large contemporary cohort of patients with cirrhosis and to associate pain with unplanned health care utilization and clinical outcomes in this population. METHODS: We included all patients with cirrhosis seen in UCSF hepatology clinics from 2013 to 2020. Pain severity and location were determined using documented pain scores at the initial visit; "significant pain" was defined as moderate or severe using established cutoffs. Demographic, clinical, and medication data were abstracted from electronic medical records. Associations between significant pain and our primary outcome of 1-year unplanned health care utilization (ie, emergency department visit or hospitalization) and our secondary outcomes of mortality and liver transplantation were explored in multivariable models. RESULTS: Among 5333 patients with cirrhosis, 32% had a nonzero pain score at their initial visit and 25% had significant (ie moderate/severe) pain. Sixty percent of patients with significant pain used ≥1 analgesic; 34% used opioids. Patients with cirrhosis with significant pain had similar Model for End-Stage Liver Disease-Sodium scores (14 vs. 13), but higher rates of decompensation (65% vs. 55%). The most common pain location was the abdomen (44%). Patients with abdominal pain, compared to pain in other locations, were more likely to have decompensation (72% vs. 56%). Significant pain was independently associated with unplanned health care utilization (adjusted odds ratio: 1.3, 95% CI: 1.1-1.5) and mortality (adjusted hazard ratio: 1.4, 95% CI: 1.2-1.6). CONCLUSIONS: Pain among patients with cirrhosis is often not well-controlled despite analgesic use, and significant pain is associated with unplanned health care utilization and mortality in this population. Effectively identifying and treating pain are essential in reducing costs and improving quality of life and outcomes among patients with cirrhosis.

Bayesian Latent Class Analysis Tutorial.

This article is a how-to guide on Bayesian computation using Gibbs sampling, demonstrated in the context of Latent Class Analysis (LCA). It is written for students in quantitative psychology or related fields who have a working knowledge of Bayes Theorem and conditional probability and have experience in writing computer programs in the statistical language R . The overall goals are to provide an accessible and self-contained tutorial, along with a practical computation tool. We begin with how Bayesian computation is typically described in academic articles. Technical difficulties are addressed by a hypothetical, worked-out example. We show how Bayesian computation can be broken down into a series of simpler calculations, which can then be assembled together to complete a computationally more complex model. The details are described much more explicitly than what is typically available in elementary introductions to Bayesian modeling so that readers are not overwhelmed by the mathematics. Moreover, the provided computer program shows how Bayesian LCA can be implemented with relative ease. The computer program is then applied in a large, real-world data set and explained line-by-line. We outline the general steps in how to extend these considerations to other methodological applications. We conclude with suggestions for further readings.

Real-time sun protection decisions in first-degree relatives of melanoma patients.

OBJECTIVE: Melanoma is the most serious skin cancer, and consistent use of sun protection is recommended to reduce risk. Yet sun protection use is generally inconsistent. Understanding the decisional factors driving sun protection choices could aid in intervention development to promote sun protection maintenance. METHOD: In 59 first-degree relatives of melanoma patients, an interactive voice response system (IVRS) on participants' cell phones was used to assess twice daily (morning, afternoon) real-time sun protection usage (sunscreen, shade, hats, protective clothing) and decision factors (weather, type of activity, convenience, social support) over a 14-day summer interval where morning and afternoon outdoor exposures were anticipated. Generalized estimating equations and hierarchical linear models were used to examine the effect of demographics and decisional factors on sun protection choices over time. RESULTS: Sun protection use was inconsistent (e.g., 61% used sunscreen inconsistently). Most strategies were used independently, with the exception of moderate overlap of sunscreen and hat usage. Decision factors were highly relevant for sun protection. For instance, sunscreen use was related to the perception of having adequate time to apply it, whereas shade and hat usage were each related to convenience. Few findings emerged by gender, age, time of day, or year. Significant within-subject variation remained, however. CONCLUSIONS: The findings support continued examination of decision factors in understanding sun protection consistency in real time. Interventions where cues to action and environmental supports work together in varied settings can be developed to improve sun protection maintenance in populations at risk for this common disease. (PsycINFO Database Record

Perceived Family Functioning Predicts Baseline Psychosocial Characteristics in U.S. Participants of a Family Focused Grief Therapy Trial.

CONTEXT AND OBJECTIVES: Screening and baseline data on 170 American families (620 individuals), selected by screening from a palliative care population for inclusion in a randomized controlled trial of family-focused grief therapy, were examined to determine whether family dysfunction conferred higher levels of psychosocial morbidity. We hypothesized that greater family dysfunction would, indeed, be associated with poorer psychosocial outcomes among palliative care patients and their family members. METHODS: Screened families were classified according to their functioning on the Family Relationships Index (FRI) and consented families completed baseline assessments. Mixed-effects modeling with post hoc tests compared individuals' baseline psychosocial outcomes (psychological distress, social functioning, and family functioning on a different measure) according to the classification of their family on the FRI. Covariates were included in all models as appropriate. RESULTS: For those who completed baseline measures, 191 (30.0%) individuals were in low-communicating families, 313 (50.5%) in uninvolved families, and 116 (18.7%) in conflictual families. Family class was significantly associated (at ps ≤ 0.05) with increased psychological distress (Beck Depression Inventory and Brief Symptom Inventory) and poorer social adjustment (Social Adjustment Scale) for individual family members. The family assessment device supported the concurrent accuracy of the FRI. CONCLUSION: As predicted, significantly greater levels of individual psychosocial morbidity were present in American families whose functioning as a group was poorer. Support was generated for a clinical approach that screens families to identify those at high risk. Overall, these baseline data point to the importance of a family-centered model of care.

Randomized Controlled Trial of Family Therapy in Advanced Cancer Continued Into Bereavement.

PURPOSE: Systematic family-centered cancer care is needed. We conducted a randomized controlled trial of family therapy, delivered to families identified by screening to be at risk from dysfunctional relationships when one of their relatives has advanced cancer. PATIENTS AND METHODS: Eligible patients with advanced cancer and their family members screened above the cut-off on the Family Relationships Index. After screening 1,488 patients or relatives at Memorial Sloan Kettering Cancer Center or three related community hospice programs, 620 patients (42%) were recruited, which represented 170 families. Families were stratified by three levels of family dysfunction (low communicating, low involvement, and high conflict) and randomly assigned to one of three arms: standard care or 6 or 10 sessions of a manualized family intervention. Primary outcomes were the Complicated Grief Inventory-Abbreviated (CGI) and Beck Depression Inventory-II (BDI-II). Generalized estimating equations allowed for clustered data in an intention-to-treat analysis. RESULTS: On the CGI, a significant treatment effect (Wald χ(2) = 6.88; df = 2; P = .032) and treatment by family-type interaction was found (Wald χ(2) = 20.64; df = 4; P < .001), and better outcomes resulted from 10 sessions compared with standard care for low-communicating and high-conflict groups compared with low-involvement families. Low-communicating families improved by 6 months of bereavement. In the standard care arm, 15.5% of the bereaved developed a prolonged grief disorder at 13 months of bereavement compared with 3.3% of those who received 10 sessions of intervention (Wald χ(2) = 8.31; df = 2; P =.048). No significant treatment effects were found on the BDI-II. CONCLUSION: Family-focused therapy delivered to high-risk families during palliative care and continued into bereavement reduced the severity of complicated grief and the development of prolonged grief disorder.

Step On It! Workplace Cardiovascular Risk Assessment of New York City Yellow Taxi Drivers.

Multiple factors associated with taxi driving can increase the risk of cardiovascular disease (CVD) in taxi drivers. This paper describes the results of Step On It!, which assessed CVD risk factors among New York City taxi drivers at John F. Kennedy International Airport. Drivers completed an intake questionnaire and free screenings for blood pressure, glucose and body mass index (BMI). 466 drivers participated. 9 % had random plasma glucose values >200 mg/dl. 77 % had elevated BMIs. Immigrants who lived in the US for >10 years had 2.5 times the odds (CI 1.1-5.9) of having high blood pressure compared to newer immigrants. Abnormalities documented in this study were significant, especially for immigrants with greater duration of residence in the US, and underscore the potential for elevated CVD risk in this vulnerable population, and the need to address this risk through frameworks that utilize multiple levels of intervention.

Use of Hospital-Based Food Pantries Among Low-Income Urban Cancer Patients.

To examine uptake of a novel emergency food system at five cancer clinics in New York City, hospital-based food pantries, and predictors of use, among low-income urban cancer patients. This is a nested cohort study of 351 patients who first visited the food pantries between October 3, 2011 and January 1, 2013. The main outcome was continued uptake of this food pantry intervention. Generalized estimating equation (GEE) statistical analysis was conducted to model predictors of pantry visit frequency. The median number of return visits in the 4 month period after a patient's initial visit was 2 and the mean was 3.25 (SD 3.07). The GEE model showed that younger patients used the pantry less, immigrant patients used the pantry more (than US-born), and prostate cancer and Stage IV cancer patients used the pantry more. Future long-term larger scale studies are needed to further assess the utilization, as well as the impact of food assistance programs such as the this one, on nutritional outcomes, cancer outcomes, comorbidities, and quality of life. Cancer patients most at risk should be taken into particular consideration.

Step on it! Impact of a workplace New York City taxi driver health intervention to increase necessary health care access.

OBJECTIVES: We describe the impact of the Step On It! intervention to link taxi drivers, particularly South Asians, to health insurance enrollment and navigate them into care when necessary. METHODS: Step On It! was a worksite initiative held for 5 consecutive days from September 28 to October 2, 2011, at John F. Kennedy International Airport in New York City. Data collected included sociodemographics, employment, health care access and use, height, weight, blood pressure, and random plasma glucose. Participants were given their results, counseled by a medical professional, and invited to participate in free workshops provided by partner organizations. RESULTS: Of the 466 drivers participated, 52% were uninsured, and 49% did not have a primary care provider. Of 384 drivers who had blood pressure, glucose, or both measured, 242 (63%) required urgent or regular follow-up. Of the 77 (32%) requiring urgent follow-up, 50 (65%) sought medical care at least once, of whom 13 (26%) received a new diagnosis. Of the 165 (68%) requiring regular follow-up, 68 (41%) sought medical care at least once, of whom 5 (7%) received a new diagnosis. CONCLUSIONS: This study provides encouraging results about the potential impact of an easy-to-deliver, easily scalable workplace intervention with a large, vulnerable population.

Seizure frequency and patient-centered outcome assessment in epilepsy.

OBJECTIVE: Seizure frequency represents a commonly assessed epilepsy status, but in the context of the growing trend toward patient-centered care, we examined the adequacy of seizure frequency as a measure of epilepsy status as perceived by the patient. METHODS: Between 2006 and 2008, we assessed seizure frequency, mood, and preference-based health-related quality of life (HRQOL) measured with the visual analog scale metric in 182 adult patients sampled consecutively. Using nonparametric tests and Monte Carlo computer simulations, we analyzed the relationship between preference-based HRQOL and seizure frequency, and using regression analyses, we tested for significant predictors of preference-based HRQOL. RESULTS: Only patients who had been seizure-free for >1 year had significantly higher preference-based HRQOL (p < 0.0001) than those who experienced any recurrent seizure, regardless of their seizure frequency. Among patients with recurrent seizures, preference-based HRQOL and seizure frequency were not monotonically, linearly related. For patients with similar seizure frequency, preference-based HRQOL varied substantially with large overlaps in preference-based HRQOL across different seizure frequency categories. The Monte Carlo simulation found that seizure frequency was a poor predictor of preference-based HRQOL about one third of the time. The presence of depressive symptoms was an independent predictor of preference-based HRQOL measure, accounting for 33.5% of the variation in scores between patients. SIGNIFICANCE: Our findings highlight the importance of attaining complete seizure freedom and the substantial variation in preference-based HRQOL among patients with similar seizure frequencies. To improve assessment of patient-centered outcomes in epilepsy, we encourage adding direct measurement of preference-based HRQOL into clinical care.