Physical activity assessment with wearable devices in rheumatic diseases: a systematic review and meta-analysis.

OBJECTIVES: In the management of rheumatic musculoskeletal disorders (RMDs), regular physical activity (PA) is an important recognized non-pharmacological intervention. This systematic review and meta-analysis aims to evaluate how the use of wearable devices (WDs) impacts physical activity in patients with noninflammatory and inflammatory rheumatic diseases. METHODS: A comprehensive search of articles was performed in PubMed, Embase, CINAHL and Scopus. A random-effect meta-analysis was carried out on the number of steps and moderate-vigorous physical activity (MVPA). Univariable meta-regression models were computed to assess the possibility that the study characteristics may act as modifiers on the final meta-analysis estimate. RESULTS: In the analysis, 51 articles were included, with a total of 7488 participants. Twenty-two studies considered MVPA outcome alone, 16 studies considered the number of steps alone, and 13 studies reported information on both outcomes. The recommended PA threshold was reached for MVPA (36.35, 95% CI 29.39, 43.31) but not for daily steps (-1092.60, -1640.42 to -544.77). Studies on patients with fibromyalgia report a higher number (6290, 5198.65-7381.62) of daily steps compared with other RMDs. Patients affected by chronic inflammatory arthropathies seemed to fare better in terms of daily steps than the other categories. Patients of younger age reported a higher overall level of PA than elderly individuals for both the number of steps and MVPA. CONCLUSION: Physical activity can be lower than the recommended threshold in patients with RMDs when objectively measured using WD. WDs could be a useful and affordable instrument for daily monitoring physical activity in RMDs and may support an increase in activity levels. PROSPERO TRIAL REGISTRATION: CRD42021227681, https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=227681.

Predicting Hemodynamic Failure Development in PICU Using Machine Learning Techniques.

The present work aims to identify the predictors of hemodynamic failure (HF) developed during pediatric intensive care unit (PICU) stay testing a set of machine learning techniques (MLTs), comparing their ability to predict the outcome of interest. The study involved patients admitted to PICUs between 2010 and 2020. Data were extracted from the Italian Network of Pediatric Intensive Care Units (TIPNet) registry. The algorithms considered were generalized linear model (GLM), recursive partition tree (RPART), random forest (RF), neural networks models, and extreme gradient boosting (XGB). Since the outcome is rare, upsampling and downsampling algorithms have been applied for imbalance control. For each approach, the main performance measures were reported. Among an overall sample of 29,494 subjects, only 399 developed HF during the PICU stay. The median age was about two years, and the male gender was the most prevalent. The XGB algorithm outperformed other MLTs in predicting HF development, with a median ROC measure of 0.780 (IQR 0.770-0.793). PIM 3, age, and base excess were found to be the strongest predictors of outcome. The present work provides insights for the prediction of HF development during PICU stay using machine-learning algorithms.

Preparation of intravenous chemotherapy bags: evaluation of a dose banding approach in an Italian oncology hospital.

Introduction: Dose banding is an original approach that manages intravenous (IV) chemotherapy preparation by generating on a weekly basis a series of bags containing scaled dosages of the active agent. These predetermined, fixed dosage bags are intended to replace the traditional bags prepared daily that contain fully individualized dosages. Methods: Three different scenarios were examined: (1) the current method of daily preparation of individualized bags at the hospital pharmacy; (2) the weekly preparation at the hospital pharmacy of non-individualized bags containing discrete, predefined doses covering an adequate range of doses (dose banding); (3) the use of commercial ready-to-use bags based on the same approach of dose banding. The objective of this study was to compare these three different approaches in terms of cost per patient. We considered five cancer drugs (gemcitabine, oxaliplatin, paclitaxel, trastuzumab and 5-fluorouracil) that were suitable for the dose ranging approach. Appropriate dose bands for these five agents were identified. Costs were estimated for each of the three approaches. Results: A total of 13,490 fully individualized bags were studied, which corresponded to the real bags prepared at our institution for these five agents in 2018. Dose banding was predicted to determine savings ranging from €10,998 (-0.84%) for trastuzumab to €169,429.60 (-8.39%) for paclitaxel. Conclusion: The introduction of dose banding can determine economic savings along with other advantages, such as improved work conditions, management reorganization and containment of waste. The pharmaceutical industry can hopefully support these experiences by producing ready-to-use bags in predetermined dosages.

Safety and Tolerability of Anti-Angiogenic Protein Kinase Inhibitors and Vascular-Disrupting Agents in Cancer: Focus on Gastrointestinal Malignancies.

Angiogenesis is an essential process for tumor growth and metastasis. Inhibition of angiogenesis as an anticancer strategy has shown significant results in a plethora of tumors. Anti-angiogenic agents are currently part of many standard-of-care options for several metastatic gastrointestinal cancers. Bevacizumab, aflibercept, ramucirumab, and regorafenib have significantly improved both progression-free and overall survival in different lines of treatment in metastatic colorectal cancer. Second-line ramucirumab and third-line apatinib are effective anti-angiogenic treatments for patients with metastatic gastric cancer. Unfortunately, the anti-angiogenic strategy has major practical limitations: resistance inevitably develops through redundancy of signaling pathways and selection for subclonal populations adapted for hypoxic conditions. Anti-angiogenic agents may be more effective in combination therapies, with not only cytotoxics but also other emerging compounds in the anti-angiogenic class or in the separate class of the so-called vascular-disrupting agents. This review aims to provide an overview of the approved and "under development" anti-angiogenic compounds as well as the vascular-disrupting agents in the treatment of gastrointestinal cancers, focusing on the actual body of knowledge available on therapy challenges, pharmacodynamic and pharmacokinetic mechanisms, safety profiles, promising predictive biomarkers, and future perspectives.