Assessment of algorithms for identifying patients with triple-class refractory multiple myeloma using real-world data.

Objective: Patients with triple-class refractory (TCR) multiple myeloma (MM) have limited treatment options and poor prognoses. This high unmet need has prompted the development of new therapies allowing for improved outcomes for these patients. Recently, new targeted therapies for the treatment of patients with relapsed or refractory MM have been approved based on single-arm clinical trial results. Real-world (RW) data enable a better understanding of the effectiveness of new therapies in clinical practice and provide external controls for single-arm studies. However, using RW data to identify patients with TCR MM is challenging and subject to limitations. Methods: In this retrospective cohort study of an analysis of the COTA electronic health record (EHR) database, we used four algorithms to define refractory status and created four groups of patients with TCR MM initiating post-TCR therapy. Each algorithm relied on slightly different criteria to identify TCR patients, but all were based on the International Myeloma Working Group (IMWG)-derived and/or healthcare provider (HCP)-reported progressions within the database. Results: A total of 3815 patients with newly diagnosed MM met the eligibility criteria for this study. The choice of the algorithm did not impact the characteristics of identified patients with TCR MM (Algorithm 1 [n = 404], Algorithm 2 [n = 123], Algorithm 3 [n = 404], and Algorithm 4 [n = 375]), including their demographic and disease characteristics, MM treatment history, or treatment patterns received after becoming TCR. However, identifying TCR MM using a combination of IMWG-derived and HCP-reported progressions allowed up to a 70% increase in the size of the identified group of patients compared with using only IMWG-derived progressions. Conclusion: In RW settings, progressions from both IMWG-derived data and physician reports may be used to identify patients with TCR MM.

Factors affecting nursing staff use of a communication tool to reduce potentially preventable acute care transfers in long-term care.

Although specialized communication tools can effectively reduce acute care transfers, few studies have assessed the factors that may influence the use of such tools by nursing staff at the individual level. We evaluated the associations between years of experience, tool-related training, nursing attitudes, and intensity of use of a communication tool developed to reduce transfers in a long-term care facility. We employed a mixed methods design using data from medical charts, electronic records, and semi-structured interviews. Experienced nurses used the tool significantly less than inexperienced nurses, and training had a significant positive impact on tool use. Nurses found the purpose of the tool to be confusing. No significant differences in attitude were observed based on years of experience or intensity of use. Project findings indicate that focused efforts to enrich training may increase intervention adherence. Experienced nurses in particular should be made aware of the benefits of utilizing communication tools.

Mortality risk of sotalol and amiodarone for post-CABG atrial fibrillation.

BACKGROUND: Sotalol and amiodarone are commonly prescribed antiarrhythmics for the treatment of post-operative atrial fibrillation (POAF). Though they are effective in maintaining sinus rhythm in this population, little is known about their association with mortality. OBJECTIVES: To examine the association between sotalol and amiodarone exposure and total mortality in individuals with new-onset POAF following CABG. METHODS: The computerised health databases of Quebec, Canada were used to identify all patients over 65 who had undergone CABG and were newly diagnosed with POAF (January 1993 to June 2003). A time-matched nested-case-control approach was used to compare current users of sotalol and amiodarone with those not exposed to either medication during the same period. Rate ratios of mortality were estimated using conditional logistic regression. RESULTS: 4770 eligible patients were identified (930 cases, 4648 matched controls). Sotalol users had fewer comorbidities and used fewer concomitant medications than amiodarone users at baseline. Current users of sotalol were at decreased risk of mortality compared to individuals not exposed to either study drug during the same period (RRadj. 0.56 (0.39, 0.80)) while current users of amiodarone were at increased risk of mortality (RRadj. 1.50 (1.15, 1.94)). However this association was not consistently observed across all sensitivity and subgroup analyses. CONCLUSIONS: Current use of sotalol was associated with a decreased risk of mortality. Current use of amiodarone was associated with an increased risk of mortality but not for all subgroups. Additional research is required to better understand the safety of sotalol and amiodarone in individuals with POAF.

The impact of antibiotics on growth in children in low and middle income countries: systematic review and meta-analysis of randomised controlled trials.

OBJECTIVES: To determine whether antibiotic treatment leads to improvements in growth in prepubertal children in low and middle income countries, to determine the magnitude of improvements in growth, and to identify moderators of this treatment effect. DESIGN: Systematic review and meta-analysis. DATA SOURCES: Medline, Embase, Scopus, the Cochrane central register of controlled trials, and Web of Science. STUDY SELECTION: Randomised controlled trials conducted in low or middle income countries in which an orally administered antibacterial agent was allocated by randomisation or minimisation and growth was measured as an outcome. Participants aged 1 month to 12 years were included. Control was placebo or non-antimicrobial intervention. RESULTS: Data were pooled from 10 randomised controlled trials representing 4316 children, across a variety of antibiotics, indications for treatment, treatment regimens, and countries. In random effects models, antibiotic use increased height by 0.04 cm/month (95% confidence interval 0.00 to 0.07) and weight by 23.8 g/month (95% confidence interval 4.3 to 43.3). After adjusting for age, effects on height were larger in younger populations and effects on weight were larger in African studies compared with other regions. CONCLUSION: Antibiotics have a growth promoting effect in prepubertal children in low and middle income countries. This effect was more pronounced for ponderal than for linear growth. The antibiotic growth promoting effect may be mediated by treatment of clinical or subclinical infections or possibly by modulation of the intestinal microbiota. Better definition of the mechanisms underlying this effect will be important to inform optimal and safe approaches to achieving healthy growth in vulnerable populations.