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There is limited knowledge of the scale and impact of multimorbidity for patients who have had an acute myocardial infarction (AMI). Therefore, this study aimed to determine the extent to which multimorbidity is associated with long-term survival following AMI. This national observational study included 693,388 patients (median age 70.7 years, 452,896 [65.5%] male) from the Myocardial Ischaemia National Audit Project (England and Wales) who were admitted with AMI between 1 January 2003 and 30 June 2013. There were 412,809 (59.5%) patients with multimorbidity at the time of admission with AMI, i.e., having at least 1 of the following long-term health conditions: diabetes, chronic obstructive pulmonary disease or asthma, heart failure, renal failure, cerebrovascular disease, peripheral vascular disease, or hypertension. Those with heart failure, renal failure, or cerebrovascular disease had the worst outcomes (39.5 [95% CI 39.0-40.0], 38.2 [27.7-26.8], and 26.6 [25.2-26.4] deaths per 100 person-years, respectively). Latent class analysis revealed 3 multimorbidity phenotype clusters: (1) a high multimorbidity class, with concomitant heart failure, peripheral vascular disease, and hypertension, (2) a medium multimorbidity class, with peripheral vascular disease and hypertension, and (3) a low multimorbidity class. Patients in class 1 were less likely to receive pharmacological therapies compared with class 2 and 3 patients (including aspirin, 83.8% versus 87.3% and 87.2%, respectively; β-blockers, 74.0% versus 80.9% and 81.4%; and statins, 80.6% versus 85.9% and 85.2%). Flexible parametric survival modelling indicated that patients in class 1 and class 2 had a 2.4-fold (95% CI 2.3-2.5) and 1.5-fold (95% CI 1.4-1.5) increased risk of death and a loss in life expectancy of 2.89 and 1.52 years, respectively, compared with those in class 3 over the 8.4-year follow-up period. The study was limited to all-cause mortality due to the lack of available cause-specific mortality data. However, we isolated the disease-specific association with mortality by providing the loss in life expectancy following AMI according to multimorbidity phenotype cluster compared with the general age-, sex-, and year-matched population. Multimorbidity among patients with AMI was common, and conferred an accumulative increased risk of death. Three multimorbidity phenotype clusters that were significantly associated with loss in life expectancy were identified and should be a concomitant treatment target to improve cardiovascular outcomes. ClinicalTrials.gov NCT03037255.

ObjectiveThe aim of the MEDication reminder APPs to improve medication adherence in Coronary Heart Disease Study was to evaluate the effectiveness and feasibility of using publicly available high-quality medication reminder applications (apps) to improve medication adherence compared with usual care in patients with coronary heart disease (CHD). An additional aim was to examine whether an app with additional features improved adherence further.MethodsPatients with CHD (n=163) were randomised to one of three groups: (1) usual care, (2) a basic app or (3) an advanced app with interactive/customisable features. The primary analysis compared usual care versus app use on the primary outcome of the 8-item Morisky Medication Adherence Scale (MMAS-8) at 3 months. Secondary outcomes included blood pressure and cholesterol levels.ResultsThe mean age was 57.9 years and 87.7% were male. At 3 months, patients using an app had higher adherence (mean MMAS-8 score 7.11) compared with the usual care group (mean MMAS-8 score 6.63) with a mean difference between groups of 0.47 (95% CI 0.12 to 0.82, p=0.008). There was no significant difference in patients using the basic app versus the advanced app (mean difference −0.16, 95% CI −0.56 to 0.24, p=0.428). There were no significant differences in secondary clinical outcome measures.ConclusionPatients with CHD who used medication reminder apps had better medication adherence compared with usual care, and using apps with additional features did not improve this outcome further. These data suggest medication apps are likely to help patients with chronic health conditions adhere to medicines, but further examination of whether such benefits are sustained is warranted.Clinical trial registration numberACTRN12616000661471; Results.

Background Medication review is important in an era, in which polypharmacy is increasing. To date, no agreed international definition of medication review exists. Objective The aim was to reach agreement on an internationally applicable definition of medication review. Setting An international group of experts in medication review. Methods A working group of the Pharmaceutical Care Network Europe (PCNE) was established to agree on a definition including a classification of medication review. First, a survey with the aim of systematically gathering viewpoints on a definition of medication review was conducted. Second, a workshop was held to achieve an agreement. Finally, during the General Assembly of PCNE, the definition was approved. To ensure a better understanding of the scope and the considerations behind the definition, a position paper was created. Main outcome measure An internationally agreed definition of medication review. Results 58 PCNE members from 20 different countries completed the online survey. Then, 22 participants from 11 different countries (not only PCNE members) elaborated the final definition during a workshop. The final PCNE version agreed was: “Medication review is a structured evaluation of a patient’s medicines with the aim of optimising medicines use and improving health outcomes. This entails detecting drug-related problems and recommending interventions”. Overall, the consensus process included 225 people from 35 countries and resulted also in a classification of medication review taking into account the type and source of available information. Conclusion Involvement of an international community from research and practice and the use of a systematic process led to an agreement on the term medication review and on a classification valid for all settings and professions.

Monoamine oxidase inhibitors (MAOIs) were among the first licensed pharmacological treatments for patients with depression but over time have fallen out of mainstream clinical use. This has led to a loss of clinician training opportunities and reduced availability of MAOIs for prescribing. This article provides a concise and practical overview of how to use MAOIs safely and effectively in psychiatric practice. We consider the history of MAOIs, why they are not used more frequently, their mechanisms of action, availability, indications and efficacy, general tolerability, withdrawal symptoms, and safety considerations (including hypertensive reactions and serotonin syndrome). Practical advice is given in terms of dietary restrictions, interactions with other medications (both prescribed and non-prescribed), and how prescribers can stop and switch MAOIs, both within the drug class and outside of it. We also provide advice on choice of MAOI and treatment sequencing. Lastly, we consider emerging directions and potential additional indications.

Juvenile idiopathic arthritis (JIA) is the most common paediatric rheumatological disorder and is classified by subtype according to International League of Associations for Rheumatology criteria. Depending on the number of joints affected, presence of extra-articular manifestations, systemic symptoms, serology and genetic factors, JIA is divided into oligoarticular, polyarticular, systemic, psoriatic, enthesitis-related and undifferentiated arthritis. This review provides an overview of advances in understanding of JIA pathogenesis focusing on aetiology, histopathology, immunological changes associated with disease activity, and best treatment options. Greater understanding of JIA as a collective of complex inflammatory diseases is discussed within the context of therapeutic interventions, including traditional non-biologic and up-to-date biologic disease-modifying anti-rheumatic drugs. Whilst the advent of advanced therapeutics has improved clinical outcomes, a considerable number of patients remain unresponsive to treatment, emphasising the need for further understanding of disease progression and remission to support stratification of patients to treatment pathways.

Autoimmune pancreatitis (AIP) is a form of chronic pancreatitis characterised clinically by frequent presentation with obstructive jaundice, histologically by a lymphoplasmacytic infiltrate with fibrosis, and therapeutically by a dramatic response to steroids. When so defined, AIP can be sub-classified into two subtypes, 1 and 2. Recent international consensus diagnostic criteria for AIP have been developed for diagnosis of both forms of AIP. Type 1 AIP is the pancreatic manifestation of a multiorgan disease, recently named IgG4-related disease. Little is known about the pathogenesis of either form of AIP. Despite frequent association of type 1 AIP with elevated serum IgG4 levels and infiltration with IgG4-positive plasma cells, it is unlikely that IgG4 plays a pathogenic role in AIP. Type 1 AIP responds to steroids, but there needs to be consensus on treatment regimens for induction and therapeutic end points. Relapses are common, but can be reduced by long-term use of low-dose steroids. Recent reports suggest that immunomodulators (azathioprine, 6-mercaptopurine and mycophenolate mofetil), as well biological agents (the antibody to CD20, rituximab) may have a role in maintaining remission in relapsing type 1 AIP. Future studies should clarify the best management options for treatment of relapses and maintenance of remission. Type 2 AIP is a pancreas-specific disorder not associated with IgG4. It presents in younger individuals equally with obstructive jaundice and pancreatitis. The inflammatory process responds to steroid therapy; relapses are uncommon. The clinical spectrum and long-term outcomes of medically treated type 2 AIP are still being evaluated.

Heart failure (HF) is a chronic condition affecting nearly 5.7 million Americans and is a leading cause of morbidity and mortality. With an aging population, the cost associated with managing HF is expected to more than double from US $31 billion in 2012 to US $70 billion by 2030. Readmission rates for HF patients are high-25% are readmitted at 30 days and nearly 50% at 6 months. Low medication adherence contributes to poor HF management and higher readmission rates. Remote telehealth monitoring programs aimed at improved medication management and adherence may improve HF management and reduce readmissions. The primary goal of this randomized controlled pilot study is to compare the MedSentry remote medication monitoring system versus usual care in older HF adult patients who recently completed a HF telemonitoring program. We hypothesized that remote medication monitoring would be associated with fewer unplanned hospitalizations and emergency department (ED) visits, increased medication adherence, and improved health-related quality of life (HRQoL) compared to usual care. Participants were randomized to usual care or use of the remote medication monitoring system for 90 days. Twenty-nine participants were enrolled and the final analytic sample consisted of 25 participants. Participants completed questionnaires at enrollment and closeout to gather data on medication adherence, health status, and HRQoL. Electronic medical records were reviewed for data on baseline classification of heart function and the number of unplanned hospitalizations and ED visits during the study period. Use of the medication monitoring system was associated with an 80% reduction in the risk of all-cause hospitalization and a significant decrease in the number of all-cause hospitalization length of stay in the intervention arm compared to usual care. Objective device data indicated high adherence rates (95%-99%) among intervention group participants despite finding no significant difference in self-reported adherence between study arms. The intervention group had poorer heart function and HRQoL at baseline, and HRQoL declined significantly in the intervention group compared to controls. The MedSentry medication monitoring system is a promising technology that merits continued development and evaluation. The MedSentry medication monitoring system may be useful both as a standalone system for patients with complex medication regimens or used to complement existing HF telemonitoring interventions. We found significant reductions in risk of all-cause hospitalization and the number of all-cause length of stay in the intervention group compared to controls. Although HRQoL deteriorated significantly in the intervention group, this may have been due to the poorer HF-functioning at baseline in the intervention group compared to controls. Telehealth medication adherence technologies, such as the MedSentry medication monitoring system, are a promising method to improve patient self-management,the quality of patient care, and reduce health care utilization and expenditure for patients with HF and other chronic diseases that require complex medication regimens. ClinicalTrials.gov NCT01814696; https://clinicaltrials.gov/ct2/show/study/NCT01814696 (Archived by WebCite® at http://www.webcitation.org/6giqAVhno).

Seizures in the context of brain tumors are a relatively common symptom, with higher occurrence rates observed in glioneuronal tumors and gliomas. It is a serious burden that can have a significant impact on the quality of life (QoL) of patients and influence the disease's prognosis. Brain tumor-related epilepsy (BTRE) is a challenging entity because the pathophysiological mechanisms are not fully understood yet. Nonetheless, neuroinflammation is considered to play a pivotal role. Next to neuroinflammation, findings on the pathogenesis of BTRE have established that certain genetic mutations are involved, of which the most known would be IDH mutations in gliomas. Others discussed more thoroughly in the present review include genes such as PTEN, TP53, IGSF3, and these findings all provide fresh and fascinating insights into the pathogenesis of BTRE. Treatment for BTRE presents unique challenges, mainly related to burdens of polytherapy, debated necessity of anti-epileptic prophylaxis, and overall impact on the QoL. In fact, there are no established anti-seizure medications (ASMs) of choice for BTRE, nor is there any protocol to guide the use of these medications at every step of disease progression. Treatment strategies aimed at the tumor, that is surgical procedures, radio- and chemotherapy appear to influence seizure control. Conversely, some ASMs have also shown antitumor properties. The present review summarizes and retrospectively analyzes the literature on the pathogenesis and management of BTRE to provide an updated comprehensive understanding. Furthermore, the challenges and opportunities for developing future therapies aimed at BTRE are discussed.

Background For over 20 years, researchers wanting to record, discuss and compare drug-related problems (DRPs) have had the task of choosing between a multiplicity of classification systems offering a variable number of categories identified as causes of DRPs and DRPs. Objective To characterise studies which have reported DRPs through the use of a DRP classification system to determine types of classification systems chosen, factors influencing their choice, and methodological issues that may have affected their application. Method A systematic search of MEDLINE, CINAHL, International Pharmaceutical Abstracts (Ovid), EMBASE and PubMed was performed. All English language studies reporting DRPs through the use of a classification system published between January 2000 and July 2013 were reviewed, with no limitation on the type of study. Results Of 2,774 articles screened, 268 met our inclusion criteria. We identified the use of 20 different types of DRP classification systems. Three quarters of studies modified an existing classification system or developed their own. Few studies stated reasons for choice of system. We identified issues such as variability in skills of data collectors, selective choice of patients and missing data, affecting application of classification systems and limiting quality, analysis and comparison of studies. Conclusion There appeared to be no consensus on preference or structure of classification systems. Future studies should consider addressing or acknowledging the methodological issues identified. Through identification and discussion of these problems, recommendations for future studies and for practice have been made.