Citations

PURPOSEThere are numerous barriers to enrollment in oncology biomarker-driven studies.METHODSThe ELAINE 2 study (ClinicalTrials.gov identifier: NCT04432454 ) is an open-label phase 2 study of lasofoxifene combined with abemaciclib in patients with advanced or metastatic estrogen receptor–positive/human epidermal growth factor receptor 2–negative breast cancer with an ESR1 mutation. ELAINE 2 opened clinical sites by using a Traditional approach, which activated a site before patient identification, and the Tempus TIME Trial network, which opened a site only after identifying an eligible patient. This manuscript presents the operational metrics comparing the Traditional and TIME Trial site data.RESULTSThe study enrolled patients over 34 weeks and 16 sites (six Traditional and 10 TIME Trial) participated. Duration for full clinical trial agreement execution for Traditional sites and TIME Trial sites averaged 200.5 (range, 142-257) and 7.6 days (range, 2-14), respectively. Institutional review board approval time for Traditional sites and TIME Trial sites was 27.5 (range, 12-71) and 3.0 days (range, 1-12), respectively. Duration from study activation to first consent was 33.3 (range, 18-58) and 8.8 days (range, 1-35) for Traditional and TIME Trial sites, respectively. The first patient on study was at a TIME Trial site 115 days before a Traditional site and the first seven patients enrolled were at TIME Trial sites. Traditional sites consented 23 and enrolled 16 patients, while TIME Trial sites consented 16 and enrolled 13. The trial enrolled 29 patients in 8.5 months with the anticipated enrollment duration being 12-18 months.CONCLUSIONThe TIME Trial network opened earlier and enrolled the first study patients. These results demonstrate that the Just-in-TIME model, along with a Traditional model, can improve enrollment in biomarker-driven studies.

Importance Patient withdrawal of consent from a cancer clinical trial is defined as a patient’s volitional cessation of participation in all matters related to a trial. It can undermine the trial’s purpose, make the original sample size and power calculations irrelevant, introduce bias between trial arms, and prolong the time to trial completion. Objective To report rates of and baseline factors associated with withdrawal of consent among patients in cancer clinical trials. Design, Setting, and Participants This multisite observational cohort study was conducted through the Alliance for Clinical Trials in Oncology. Patient withdrawal was defined as a patient’s voluntary termination of consent to participate anytime during trial conduct. Baseline patient- and trial-based factors were investigated for their associations with patient withdrawal within the first 2 years using logistic regression models. All patients who participated in cancer therapeutic clinical trials conducted within the Alliance for Clinical Trials in Oncology from 2013 through 2019 were included. The data lock date was January 23, 2022. Main Outcomes and Measures The percentage of patients who withdrew consent in 2 years and factors associated with withdrawal of consent. Results A total of 11 993 patients (median age, 62 years; 67% female) from 58 trials were included. Within 2 years, 1060 patients (9%) withdrew from their respective trials. Two-year rates of withdrawal were 5.7%, 7.6%, 8.5%, 7.8%, 8.4%, 9.5%, and 9.8% for each of the respective years from 2013 through 2019. In multivariable analyses, Hispanic ethnicity (odds ratio [OR], 1.67; 95% CI, 1.30-2.15; P < .001), randomized design with placebo (OR, 1.64; 95% CI, 1.38-1.94; P < .001), and patient age 75 years and older (OR, 1.39; 95% CI, 1.12-1.72; P = .003) were associated with higher likelihood of withdrawal by 2 years. Use of radiation was associated with patient retention (OR, 0.68; 95% CI, 0.54-0.86; P = .001). Conclusions and Relevance In this cohort study, rates of withdrawal of consent were less than 10% and appeared consistent over time. Factors that are associated with withdrawal of consent should be considered when designing trials and should be further studied to learn how they can be favorably modified.

BACKGROUND: The rate of stroke in patients with heart failure (HF) and preserved ejection fraction but without atrial fibrillation (AF), is uncertain as is whether it is possible to reliably predict the risk of stroke in these patients. METHODS: We validated a previously developed simple risk model for stroke among patients enrolled in the I-Preserve trial (Irbesartan in Heart Failure With Preserved Systolic Function) and PARAGON-HF trial (Efficacy and Safety of LCZ696 Compared to Valsartan, on Morbidity and Mortality in Heart Failure Patients With Preserved Ejection Fraction). The risk model consisted of 3 variables: history of previous stroke, insulin-treated diabetes, and plasma N-terminal pro-B-type natriuretic peptide level. RESULTS: Of the 8924 patients included in the pooled trial dataset, 5126 patients did not have AF at baseline. Among patients without AF, 190 (3.7%) experienced a stroke over a median follow-up of 3.6 years (rate 10.5 per 1000 patient-years). The risk for stroke increased with increasing risk score: second tertile hazard ratio, 1.78 (95% CI, 1.17–2.71); third tertile hazard ratio, 3.03 (95% CI, 2.06–4.47), with the first tertile as reference. For patients in the third tertile, the occurrence rate of stroke was 17.7 per 1000 patient-years, similar to that in patients with AF not receiving anticoagulation (20.7 per 1000 patient-years), and those with AF who were receiving anticoagulation (14.5 per 1000 patient-years). Model discrimination was good with a C index of 0.81 (0.68–0.91) and a simple score could be created from the model. CONCLUSIONS: A simple risk model can detect a subset of HF and preserved ejection fraction patients without AF who have a higher risk for stroke. The balance of risk-to-benefit in these individuals may justify the use of prophylactic anticoagulation, but this hypothesis needs to be prospectively evaluated. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifiers: NCT00095238 and NCT01920711.

Abstract Pulmonary embolization in donor lungs is a common finding and found in up to 38% of cases. To expand the pool of organs, transplant centers now utilize lungs, from increased risk donors, that may have pulmonary embolic disease. Modalities of clearing pulmonary artery embolisms are critical to reduce the prevalence of primary graft dysfunction post transplantation. There have been anecdotal cases of pulmonary embolectomy pre and post organ procurement or in vivo and ex vivo thrombolytic therapy performed in donors with massive pulmonary emboli. We report for the first time therapeutic ex vivo thrombolysis on the back table without Ex Vivo Lung Perfusion (EVLP), followed by successful transplantation.

Macrolides are a mainstay of therapy for infections due to nontuberculous mycobacteria (NTM). Among rapidly growing mycobacteria (RGM), inducible macrolide resistance is associated with four chromosomal 23S rRNA methylase ( erm ) genes.

Introduction Decision aids (DAs) are helpful instruments used to support shared decision making (SDM). Patients with atrial fibrillation (AF) face complex decisions regarding stroke prevention strategies. While a few DAs have been made for AF stroke prevention, an encounter DA (EDA) and patient DA (PDA) have not been created to be used in conjunction with each other before. Design Using iterative user-centered design, we developed 2 DAs for anticoagulation choice and stroke prevention in AF. Prototypes were created, and we elicited feedback from patients and experts via observations of encounters, usability testing, and semistructured interviews. Results User testing was done with 33 experts (in AF and SDM) and 51 patients from 6 institutions. The EDA and PDA underwent 1 and 4 major iterations, respectively. Major differences between the DAs included AF pathophysiology and a preparation to meet with the clinician in the PDA as well as different language throughout. Content areas included personalized stroke risk, differences between anticoagulants, and risks of bleeding. Based on user feedback, developers 1) addressed feelings of isolation with AF, 2) improved navigation options, 3) modified content and flow for users new to AF and those experienced with AF, 4) updated stroke risk pictographs, and 5) added structure to the preparation for decision making in the PDA. Limitations These DAs focus only on anticoagulation for stroke prevention and are online, which may limit participation for those less comfortable with technology. Conclusions Designing complementary DAs for use in tandem or separately is a new method to support SDM between patients and clinicians. Extensive user testing is essential to creating high-quality tools that best meet the needs of those using them. Highlights First-time complementary encounter and patient decision aids have been designed to work together or separately. User feedback led to greater structure and different experiences for patients naïve or experienced with anticoagulants in patient decision aids. Online tools allow for easier dissemination, use in telehealth visits, and updating as new evidence comes out.

The principal limitations of the terms NAFLD and NASH are the reliance on exclusionary confounder terms and the use of potentially stigmatising language. This study set out to determine if content experts and patient advocates were in favor of a change in nomenclature and/or definition. A modified Delphi process was led by three large pan-national liver associations. The consensus was defined a priori as a supermajority (67%) vote. An independent committee of experts external to the nomenclature process made the final recommendation on the acronym and its diagnostic criteria. A total of 236 panelists from 56 countries participated in 4 online surveys and 2 hybrid meetings. Response rates across the 4 survey rounds were 87%, 83%, 83%, and 78%, respectively. Seventy-four percent of respondents felt that the current nomenclature was sufficiently flawed to consider a name change. The terms “nonalcoholic” and “fatty” were felt to be stigmatising by 61% and 66% of respondents, respectively. Steatotic liver disease was chosen as an overarching term to encompass the various aetiologies of steatosis. The term steatohepatitis was felt to be an important pathophysiological concept that should be retained. The name chosen to replace NAFLD was metabolic dysfunction–associated steatotic liver disease. There was consensus to change the definition to include the presence of at least 1 of 5 cardiometabolic risk factors. Those with no metabolic parameters and no known cause were deemed to have cryptogenic steatotic liver disease. A new category, outside pure metabolic dysfunction–associated steatotic liver disease, termed metabolic and alcohol related/associated liver disease (MetALD), was selected to describe those with metabolic dysfunction–associated steatotic liver disease, who consume greater amounts of alcohol per week (140–350 g/wk and 210–420 g/wk for females and males, respectively). The new nomenclature and diagnostic criteria are widely supported and nonstigmatising, and can improve awareness and patient identification.

Abstract Background and Aims Colchicine is an anti-inflammatory drug that may prevent post-operative atrial fibrillation (POAF). The effect of this drug has been inconsistently shown in previous clinical trials. We aimed to compare the efficacy and safety of colchicine vs. placebo to prevent POAF in patients undergoing cardiac surgery. Methods and results A systematic search of EMBASE, MEDLINE, SCOPUS, ClinicalTrials.gov, and the Cochrane Library for randomized controlled trials (RCTs) was conducted from inception till April 2023. The primary outcome was the incidence of POAF after any cardiac surgery. The secondary outcome was the rate of drug discontinuation due to adverse events and adverse gastrointestinal events. Risk ratios (RR) were reported using the Mantel Haenszel method. A total of eight RCTs comprising 1885 patients were included. There was a statistically significant lower risk of developing POAF with colchicine vs. placebo (RR: 0.70; 95% CI: 0.59–0.82; P < 0.01, I2 = 0%), and this effect persisted across different subgroups. There was a significantly higher risk of adverse gastrointestinal events (RR: 2.20; 95% CI: 1.38–3.51; P < 0.01, I2 = 55%) with no difference in the risk of drug discontinuation in patients receiving colchicine vs. placebo (RR: 1.33; 95% CI: 0.93–1.89; P = 0.11, I2 = 0%). Conclusion This meta-analysis of eight RCTs shows that colchicine is effective at preventing POAF, with a significantly higher risk of adverse gastrointestinal events but no difference in the rate of drug discontinuation. Future studies are required to define the optimal duration and dose of colchicine for the prevention of POAF.