Citations

AbstractAlthough pain reduction is commonly the primary outcome in chronic pain clinical trials, physical functioning is also important. A challenge in designing chronic pain trials to determine efficacy and effectiveness of therapies is obtaining appropriate information about the impact of an intervention on physical function. The Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) and Outcome Measures in Rheumatology (OMERACT) convened a meeting to consider assessment of physical functioning and participation in research on chronic pain. The primary purpose of this article is to synthesize evidence on the scope of physical functioning to inform work on refining physical function outcome measurement. We address issues in assessing this broad construct and provide examples of frequently used measures of relevant concepts. Investigators can assess physical functioning using patient-reported outcome (PRO), performance-based, and objective measures of activity. This article aims to provide support for the use of these measures, covering broad aspects of functioning, including work participation, social participation, and caregiver burden, which researchers should consider when designing chronic pain clinical trials. Investigators should consider the inclusion of both PROs and performance-based measures as they provide different but also important complementary information. The development and use of reliable and valid PROs and performance-based measures of physical functioning may expedite development of treatments, and standardization of these measures has the potential to facilitate comparison across studies. We provide recommendations regarding important domains to stimulate research to develop tools that are more robust, address consistency and standardization, and engage patients early in tool development.

c‐Myc induction drives cholestatic liver injury and cholangiocarcinoma (CCA) in mice, and induction of Maf proteins (MafG and c‐Maf) contributes to cholestatic liver injury, whereas S‐adenosylmethionine (SAMe) administration is protective. Here, we determined whether there is interplay between c‐Myc, Maf proteins, and methionine adenosyltransferase α1 (MATα1), which is responsible for SAMe biosynthesis in the liver. We used bile duct ligation (BDL) and lithocholic acid (LCA) treatment in mice as chronic cholestasis models, a murine CCA model, human CCA cell lines KMCH and Huh‐28, human liver cancer HepG2, and human CCA specimens to study gene and protein expression, protein‐protein interactions, molecular mechanisms, and functional outcomes. We found that c‐Myc, MATα1 (encoded by MAT1A), MafG, and c‐Maf interact with one another directly. MAT1A expression fell in hepatocytes and bile duct epithelial cells during chronic cholestasis and in murine and human CCA. The opposite occurred with c‐Myc, MafG, and c‐Maf expression. MATα1 interacts mainly with Mnt in normal liver, but this switches to c‐Maf, MafG, and c‐Myc in cholestatic livers and CCA. Promoter regions of these genes have E‐boxes that are bound by MATα1 and Mnt in normal liver and benign bile duct epithelial cells that switched to c‐Myc, c‐Maf, and MafG in cholestasis and CCA cells. E‐box positively regulates c‐Myc, MafG, and c‐Maf, but it negatively regulates MAT1A. MATα1 represses, whereas c‐Myc, MafG, and c‐Maf enhance, E‐box‐driven promoter activity. Knocking down MAT1A or overexpressing MafG or c‐Maf enhanced CCA growth and invasion in vivo. Conclusion: There is a novel interplay between MATα1, c‐Myc, and Maf proteins, and their deregulation during chronic cholestasis may facilitate CCA oncogenesis. (Hepatology 2016;64:439‐455)

Complementary and alternative medicine (CAM) has gained acceptance throughout the industrialized world. The present study was performed to provide information about the use of CAM at Mayo Clinic, an academic medical center in Northern Midwest of the US. We retrospectively reviewed the electronic medical records of 2680 patients visiting the CAM program at Mayo Clinic, Rochester, between 1 July 2006 and 31 March 2011. Services provided included acupuncture, massage, integrative medical consultations and executive stress management training. Data including age, gender, race, diagnosis and the number of treatment/consultation sessions were collected to describe the use of CAM in our institute over the last several years. It was found that the mean (standard deviation) age of patient was 52.6 (15.5) years. Of those, 73.1% were female and 26.9% were male. Most patients were white. The number of patients referred to CAM increased significantly from 2007 to 2010. The three most common diagnostic categories were back pain (12.9%), psychological disorders (11.8%), and joint pain (9.6%). Back pain was the most common diagnosis for patients receiving acupuncture, and fibromyalgia was the most common for patients receiving massage therapy. Psychological disorders (i.e., stress) were the major diagnosis referred to both integrative medical consults and executive stress management training. These results suggest that the diseases related to pain and psychological disorders are the main fields of CAM use. It also shows the increasing trend of the use of CAM at an academic medical center in the US.

Background Despite the significant decline in smoking rates in the USA over the last 50 years, 42 million Americans continue to smoke. Although the combination of behavioural counselling with FDA-approved medications offers the best evidence-based treatment approach, 12-month relapse rates remain at >60%. Both healthcare providers and patients are searching for alternative treatment options. Most acupuncture trials have yielded poor results for smoking cessation; however, most trials have not used an intense treatment protocol and maintained treatment for at least 12 weeks. Methods We designed a pilot study to address these methodological problems. Twenty-eight smokers were recruited to attend two 1 h acupuncture sessions weekly for 12 weeks. Primary endpoints included completion rate, acceptability of the protocol and side effects. Secondary endpoints included carbon monoxide (CO)-confirmed, 7-day point prevalence quit rates at 12 weeks and 26 weeks. Results Sixteen of the 28 patients enrolled (57%) completed 12 weeks of treatment. Of the 17 patients who completed the end-of-study questionnaire, 94% (16/17) rated the programme as helpful, and 82% noted they would recommend it to friends for smoking cessation. Three of the 28 who initially enrolled in the study were confirmed abstinent at 12 weeks (10.7%); one of the 28 (3.6%) was abstinent at 26 weeks. Conclusions A larger study with a slightly less rigorous and more acceptable treatment protocol is feasible and should be considered.

Objective Hepatocellular carcinoma (HCC) is an infrequent yet critical event in primary biliary cirrhosis (PBC); however, predictive tools remain ill-defined. Our objective was to identify candidate risk factors for HCC development in patients with PBC. Design Risk factor analysis was performed in over 15 centres from North America and Europe spanning >40 years observation period using Cox proportional hazards assumptions, logistic regression, and Kaplan-Meier estimates. Results Of 4565 patients with PBC 123 developed HCC, yielding an incidence rate (IR) of 3.4 cases/1000 patient-years. HCC was significantly more common in men (p<0.0001), and on univariate analysis factors at PBC diagnosis associated with future HCC development were male sex (unadjusted HR 2.91, p<0.0001), elevated serum aspartate transaminase (HR 1.24, p<0.0001), advanced disease (HR 2.72, p=0.022), thrombocytopenia (HR 1.65, p<0.0001), and hepatic decompensation (HR 9.89, p<0.0001). As such, non-treatment with ursodeoxycholic acid itself was not associated with cancer development; however, 12-month stratification by biochemical non-response (Paris-I criteria) associated significantly with future risk of HCC (HR 4.52, p<0.0001; IR 6.6 vs 1.4, p<0.0001). Non-response predicted future risk in patients with early stage disease (IR 4.7 vs 1.2, p=0.005), advanced disease (HR 2.79, p=0.02; IR 11.2 vs 4.4, p=0.033), and when restricting the analysis to only male patients (HR 4.44, p<0.001; IR 18.2 vs 5.4, p<0.001). On multivariable analysis biochemical non-response remained the most significant factor predictive of future HCC risk (adjusted HR 3.44, p<0.0001). Conclusions This uniquely powered, internationally representative cohort robustly demonstrates that 12-month biochemical non-response is associated with increased future risk of developing HCC in PBC. Such risk stratification is relevant to patient care and development of new therapies.