Publications by authors named "T Chivato"
Efficacious, effective and efficient communication between healthcare professionals (HCP) and patients is essential to achieve a successful therapeutic alliance. Telemedicine (TM) has been used for decades but during the COVID-19 pandemic its use has become widespread. This position paper aims to describe the terminology and most important forms of TM among HCP and patients and review the existing studies on the uses of TM for asthma and allergy.
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- The rapid advancement of precision diagnostic tools and omic technologies has led to the identification of new disease endotypes for allergic conditions, improving our understanding of diseases beyond just symptoms.
- This shift has prompted a reevaluation of current disease classifications, ultimately leading to the development of a modern nomenclature for allergic diseases that acknowledges historical classifications.
- The paper details a comprehensive framework for hypersensitivity reactions, categorizing them into nine types based on mechanisms and responses, with plans for a follow-up article addressing the practical implications in allergy treatment and management.
Article Synopsis
- Scientists are trying to understand why some people with severe allergies have ongoing inflammation in their bodies, but it’s still a mystery.
- They studied T cells (a type of immune cell) from allergic asthma patients and found that those with severe allergies showed different behaviors and changes in their genes compared to mild patients and healthy people.
- The severe allergic patients had fewer working genes related to energy production, but more genes that cause inflammation, suggesting their immune system isn't regulating itself properly.
Biomarkers for the diagnosis, treatment and follow-up of patients with rhinitis and/or asthma are urgently needed. Although some biologic biomarkers exist in specialist care for asthma, they cannot be largely used in primary care. There are no validated biomarkers in rhinitis or allergen immunotherapy (AIT) that can be used in clinical practice.
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