Publications

Background Adverse drug events are considered determinants of patient safety and quality of care. Objective To assess the characteristics of adverse drug events in patients admitted to an intensive care unit and determine the impact of severity of illness and nursing workload on the prevalence of the events. Methods A cross-sectional survey based on retrospective analysis of a high-quality patient data management system for a university-based ...

Objective: Adverse drug events (ADEs) are a worldwide concern, particularly when leading to a higher level of care. This study defines a higher level of care as an unplanned (re)admission to an intensive care unit or an intervention by a Medical Emergency Team. The objectives are to describe the incidence and preventability of ADEs leading to a higher level of care, to assess the types of drug involved, and to identify the risk factors. Methods: ...

The efficacy and safety of a drug is dose or exposure related, and both are used to assess the benefit-risk balance of a given drug and ultimately to decide on the specific drug license, including its dose and indication(s). Unfortunately, both efficacy and safety are much more difficult to establish in neonates, resulting in very few drugs licensed for use in this vulnerable population. This review will focus on dose-related adverse events in ...

Adverse drug events are a leading cause of danger and cost in health care. We could reduce both the danger and the cost if we had accurate models to predict, at prescription time for each drug, which patients are most at risk for known adverse reactions to that drug, such as myocardial infarction (MI, or “heart attack”) if given a Cox2 inhibitor, angioedema if given an ACE inhibitor, or bleeding if given an anticoagulant such asWarfarin. We ...

Background: Recognizing a change in serum creatinine concentrations is useful to detect a renal adverse drug reaction signal. Assessing and characterizing the nephrotoxic side-effects of drugs in extremely low birth weight (ELBW, ≤1000 g) neonates remain challenging due to the high variability in creatinine in this population. This study aims to investigate and quantify the impact of ibuprofen treatment on kidney function, reflected by serum ...

Learning from electronic medical records (EMR) is challenging due to their relational nature and the uncertain dependence between a patient's past and future health status. Statistical relational learning is a natural fit for analyzing EMRs but is less adept at handling their inherent latent structure, such as connections between related medications or diseases. One way to capture the latent structure is via a relational clustering of objects. ...

Learning from electronic medical records (EMR) is challenging due to their relational nature and the uncertain dependence between a patient's past and future health status. Statistical relational learning is a natural fit for analyzing EMRs but is less adept at handling their inherent latent structure, such as connections between related medications or diseases. One way to capture the latent structure is via a relational clustering of objects. ...

Learning from electronic medical records (EMR) poses many challenges from a knowledge representation point of view. This chapter focuses on how to cope with two specific challenges: the relational nature of EMRs and the uncertain dependence between a patient's past and future health status. We discuss three different approaches for allowing standard propositional learners to incorporate relational information. We evaluate these approaches ...

OBJECTIVES: Antipsychotic drug side effects are common and can cause stigmatisation, decreased quality of life, poor adherence, and secondary morbidity and mortality. Systematic assessment of anticipated side effects is recommended as part of good clinical care, but is uncommon in practice and patients may not spontaneously report side effects. We aimed to develop a simple patient-completed checklist to screen systematically for potential ...