European journal of pain : EJP
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Pain is underdiagnosed and undertreated in patients with Alzheimer's disease (AD). Pain management is of major importance in this population to limit behavioural and functional consequences. Our study aimed to assess the capacity of AD patients to represent pain using a questionnaire exploring daily painful situations and to determine the most appropriate pain scale assessment. ⋯ The present research is significant because it examines how patients with Alzheimer's disease understand and assess painful situations. Cognitive impairments can modify this ability. Pain is a sensory and subjective experience and to define its feeling can help us in our clinical practice.
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Diagnostic uncertainty is the subjective perception of an inability to provide an accurate explanation of the patient's health problem or that a label is missing or incorrect. While recently explored in youth with chronic pain and families, this is the first study to investigate diagnostic uncertainty from the perspectives of physicians. ⋯ How physicians manage diagnostic uncertainty must be understood, as it is likely to critically impact how a diagnosis of chronic pain is communicated, the diagnostic investigations undertaken, the wait time to receiving a diagnosis, and ultimately youths' pain experiences.
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Individuals vary in their temperature and pungency preferences; whereas some individuals prefer to bath in, or consume food and beverages at very high temperatures, others prefer lukewarm temperatures. Similarly, pungent food may be preferred by some, but not by others. The aim was to investigate, for the first time whether temperature and pungency preferences are associated with variations in thermal sensitivity or ethnic origin related to pungency consumption. ⋯ People vary with regard to their temperature and spiciness preferences for reasons yet unknown. The study revealed that these preferences correlate with one another and were associated with the sensitivity to noxious heat but not with age, gender and cultural background, which suggests that they may be innate.
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In pain research and clinics, it is common practice to subgroup subjects according to shared pain characteristics. This is often achieved by computer-aided clustering. In response to a recent EU recommendation that computer-aided decision making should be transparent, we propose an approach that uses machine learning to provide (1) an understandable interpretation of a cluster structure to (2) enable a transparent decision process about why a person concerned is placed in a particular cluster. ⋯ Assessing the variables importance in clustering is important for understanding any cluster structure. XAI models are able to provide a human-understandable interpretation of the cluster structure. Model selection must be adapted individually to the clustering problem. The advantage of comprehensibility comes at an expense of accuracy.
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Metabolomics deals with the identification and quantification of small molecules (metabolites) in biological samples. As metabolite levels can reflect normal or altered metabolic pathways, their measurement provides information to improve the understanding, diagnosis and management of diseases. Despite its immense potential, metabolomics applications to pain research have been sparse. This paper describes current metabolomics techniques, reviews published human metabolomics pain research and compares successful metabolomics research in other areas of medicine with the goal of highlighting opportunities offered by metabolomics to advance pain medicine. ⋯ Metabolomics research in chronic pain is in its infancy. Most studies are at the pilot stage. Metabolomics research has been successful in other areas of medicine. These achievements should motivate investigators to expand metabolomics research to improve the understanding of the basic mechanisms of human pain, as well as provide tools to diagnose, predict and monitor chronic pain conditions. Metabolomics research can lead to the identification of biomarkers to support the development and testing of treatments, thereby facilitating personalized pain medicine.