PURPOSE: To evaluate the feasibility and outcomes of a tailored, goal-directed, and exercise-based physical therapy program for patients with metastatic breast cancer (MBC).METHODS: This was an observational, uncontrolled feasibility study. The physical therapy intervention was highly tailored to the individual patient's goals, abilities, and preferences and could include functional, strength, aerobic, and relaxation exercises. Feasibility outcomes were participation rate (expected: 25%), safety, and adherence (percentage of attended sessions relative to scheduled sessions). Additional outcomes were goal attainment, self-reported physical functioning, fatigue, health-related quality of life, and patient and physical therapist satisfaction with the program.RESULTS: Fifty-five patients (estimated participation rate: 34%) were enrolled. Three patients did not start the intervention due to early disease progression. An additional 22 patients discontinued the program prematurely, mainly due to disease progression. Median intervention adherence was 90% and no major intervention-related adverse events occurred. A goal attainment score was available for 42 patients (of whom 29 had completed the program and 13 had prematurely dropped out). Twenty-two (52%) of these patients achieved their main goal fully or largely and an additional 15 patients (36%) partially. Eighty-five percent would "definitely recommend" the program to other patients with MBC. We observed a modest improvement in patient satisfaction with physical activities (Cohen's dz 0.33).CONCLUSION: The tailored intervention program was feasible in terms of uptake, safety, and outcomes and was highly valued by patients and physical therapists. However, disease progression interfered with the program, leading to substantial dropout.TRIAL REGISTRATION: NTR register: NTR6475.
Background: Adverse outcome pathway (AOP) networks are versatile tools in toxicology and risk assessment that capture and visualize mechanisms driving toxicity originating from various data sources. They share a common structure consisting of a set of molecular initiating events and key events, connected by key event relationships, leading to the actual adverse outcome. AOP networks are to be considered living documents that should be frequently updated by feeding in new data. Such iterative optimization exercises are typically done manually, which not only is a time-consuming effort, but also bears the risk of overlooking critical data. The present study introduces a novel approach for AOP network optimization of a previously published AOP network on chemical-induced cholestasis using artificial intelligence to facilitate automated data collection followed by subsequent quantitative confidence assessment of molecular initiating events, key events, and key event relationships. Methods: Artificial intelligence-assisted data collection was performed by means of the free web platform Sysrev. Confidence levels of the tailored Bradford-Hill criteria were quantified for the purpose of weight-of-evidence assessment of the optimized AOP network. Scores were calculated for biological plausibility, empirical evidence, and essentiality, and were integrated into a total key event relationship confidence value. The optimized AOP network was visualized using Cytoscape with the node size representing the incidence of the key event and the edge size indicating the total confidence in the key event relationship. Results: This resulted in the identification of 38 and 135 unique key events and key event relationships, respectively. Transporter changes was the key event with the highest incidence, and formed the most confident key event relationship with the adverse outcome, cholestasis. Other important key events present in the AOP network include: nuclear receptor changes, intracellular bile acid accumulation, bile acid synthesis changes, oxidative stress, inflammation and apoptosis. Conclusions: This process led to the creation of an extensively informative AOP network focused on chemical-induced cholestasis. This optimized AOP network may serve as a mechanistic compass for the development of a battery of in vitro assays to reliably predict chemical-induced cholestatic injury.
Background: A new selective preventive spinal immobilization (PSI) protocol was introduced in the Netherlands. This may have led to an increase in non-immobilized spinal fractures (NISFs) and consequently adverse patient outcomes. Aim: A pilot study was conducted to describe the adverse patient outcomes in NISF of the PSI protocol change and assess the feasibility of a larger effect study. Methods: Retrospective comparative cohort pilot study including records of trauma patients with a presumed spinal injury who were presented at the emergency department of a level 2 trauma center by the emergency medical service (EMS). The pre-period 2013-2014 (strict PSI protocol), was compared to the post-period 2017-2018 (selective PSI protocol). Primary outcomes were the percentage of records with a NISF who had an adverse patient outcome such as neurological injuries and mortality before and after the protocol change. Secondary outcomes were the sample size calculation for a larger study and the feasibility of data collection. Results: 1,147 records were included; 442 pre-period, and 705 post-period. The NISF-prevalence was 10% (95% CI 7-16, n = 19) and 8% (95% CI 6-11, n = 33), respectively. In both periods, no neurological injuries or mortality due to NISF were found, by which calculating a sample size is impossible. Data collection showed to be feasible. Conclusions: No neurological injuries or mortality due to NISF were found in a strict and a selective PSI protocol. Therefore, a larger study is discouraged. Future studies should focus on which patients really profit from PSI and which patients do not.
