Guidelines for the diagnosis and treatment of chronic lymphocytic leukemia and small lymphocytic lymphoma from Chronic Lymphocytic Leukemia Spanish Group (GELLC).

Introduction: Chronic lymphocytic leukemia (CLL) is the most common form of leukemia in adults in Western countries, with a median age at diagnosis of 72 years. This guide, developed by the Spanish Group for Chronic Lymphocytic Leukemia (GELLC), addresses the most relevant aspects of CLL, with the objectives of facilitating and aiding the diagnostic process, establishing therapeutic recommendations for choosing the best treatment for each type of patient, as well as standardizing the management of CLL and ensuring equity across different hospitals in terms of the use of the various available treatment regimens.

Methodology: The references obtained were classified according to the level of evidence and following the criteria established by the Agency for Health Research and Quality, and the recommendations were classified according to the criteria of the National Comprehensive Cancer Network (NCCN).

Safety, Efficacy and Pharmacokinetics of daily optimised doses of Rifampicin for the Treatment of Tuberculosis: A Systematic Review and Bayesian Network Meta-Analysis.

Background: Higher than standard doses of rifampicin could improve the treatment outcome of drug-susceptible tuberculosis without compromising the safety of patients.

Methods: We performed a systematic review of prospective clinical studies including adults with pulmonary and extrapulmonary TB receiving rifampicin doses above 10mg/kg/day. We extracted the data on overall adverse events (AE), hepatic AE, sputum culture conversion (SCC) at week 8, recurrence, mortality, and pharmacokinetics.

Elastic static power, its correlation with acute respiratory distress syndrome severity: A Bayesian post-hoc analysis of the Mechanical Power Day cross-sectional trial.

Objective: The relationship between different power equations and the severity of acute respiratory distress syndrome (ARDS) remains unclear. This study aimed to evaluate various power equations: total mechanical power, total elastic power (comprising elastic static and elastic dynamic power), and resistive power, in a cohort of mechanically ventilated patients with and without ARDS. Bayesian analysis was employed to refine estimates and quantify uncertainty by incorporating a priori distributions.

An agent based simulation of COVID-19 history in Catalonia using extensive real datasets.

During the COVID-19 pandemic, effective public policy interventions have been crucial in combating virus transmission, sparking extensive debate on crisis management strategies and emphasizing the necessity for reliable models to inform governmental decisions, particularly at the local level. Leveraging disaggregated socio-demographic microdata, including social determinants, age-specific strata, and mobility patterns, we design a comprehensive network model of Catalonia's population and, through numerical simulation, assess its response to the outbreak of COVID-19 over the two-year period 2020-21. Our findings underscore the critical importance of timely implementation of broad non-pharmaceutical measures and effective vaccination campaigns in curbing virus spread; in addition, the identification of high-risk groups and their corresponding maps of connections within the network paves the way for tailored and more impactful interventions.

Leptospirosis outbreak in Ecuador in 2023: A pilot study for surveillance from a One Health perspective.

Leptospirosis is a neglected zoonotic disease that is endemic in tropical regions, including Ecuador. It is caused by spirochetes of the genus , which can infect humans through animal reservoirs such as rats and dogs, or through contact with contaminated water or soil. In March 2023, public health authorities declared a concerning outbreak of leptospirosis in Durán Cantón, located in the Coastal region of Ecuador.