Background: Infections by multidrug-resistant (MDR) microorganisms are associated with increased morbidity and mortality in burn patients. This study aimed to analyze the evolution of MDR bacteria over a five-year period at Coimbra Burns Unit (CBU) in Portugal, seeking to assess the possible associations of specific bacteria with presumed risk factors. Methods: The data obtained consisted of identified bacteria...
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Chronic obstructive pulmonary disease (COPD) is a common disease that accounts for a significant individualand societal burden. Pulmonary rehabilitation (PR) is a key management strategy but it is highly inaccessible, makingprioritisation highly needed. This study aimed to determine and optimize predictive models of PR outcomes and builda tool to help healthcare professionals in their clinical decision-making a...
Background and objective: Profiles of people with chronic obstructive pulmonary disease (COPD) often do not describe treatable traits, lack validation and/or their stability over time is unknown. We aimed to identify COPD profiles and their treatable traits based on simple and meaningful measures; to develop and validate a decision tree and to explore profile stability over time. Methods: An observational, pros...
Background and objective: Profiles of people with chronic obstructive pulmonary disease (COPD) often do not describe treatable traits, lack validation and/or their stability over time is unknown. We aimed to identify COPD profiles and their treatable traits based on simple and meaningful measures; to develop and validate a decision tree and to explore profile stability over time. Methods: An observational, pros...
No abstract available.
In this work, we introduce the concept of atypical group of observations and propose a procedure for its identification. By atypical group, we mean a cluster of observations whose ‘mean’ pattern stands out from the majority of the ‘mean’ patterns of the remaining clusters. Challenges that arise in atypical group detection are firstly to identify a meaningful segmentation of the data, and secondly to flag the at...