Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0037315 (sleep apnea)
 8,000 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Donor-conceived neonates have poorer birth outcomes, including low birth weight and preterm delivery that are associated with poorer long-term health in adulthood through the developmental origins of health and disease (DOHaD) theory. The aim of this study was to conduct the first investigation of the adult health outcomes of donor-conceived people. An online health survey was completed by 272 donor sperm-conceived adults and 877 spontaneously conceived adults from around the world. Donor and spontaneously conceived groups were matched for age, sex, height, smoking, alcohol consumption, exercise, own fertility and maternal smoking. Donor sperm-conceived adults had significantly higher reports of being diagnosed with type 1 diabetes (P = 0.031), thyroid disease (P = 0.031), acute bronchitis (P = 0.008), environmental allergies (P = 0.046), sleep apnoea (P = 0.037) and having ear tubes/grommets surgically implanted (P = 0.046). This is the first study to investigate the health outcomes of adult donor sperm-conceived people. Donor sperm-conceived adults self-reported elevated frequencies of various health conditions. The outcomes are consistent with birth defect data from donor sperm treatment and are consistent with the DOHaD linking perturbed early growth and chronic disease in adulthood.
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PMID:Self-reported physical health status of donor sperm-conceived adults. 3287 Jan 40

This paper provides a comprehensive review of available technologies for measurements of vital physiology related parameters that cause sleep disordered breathing (SDB). SDB is a chronic disease that may lead to several health problems and increase the risk of high blood pressure and even heart attack. Therefore, the diagnosis of SDB at an early stage is very important. The essential primary step before diagnosis is measurement. Vital health parameters related to SBD might be measured through invasive or non-invasive methods. Nowadays, with respect to increase in aging population, improvement in home health management systems is needed more than even a decade ago. Moreover, traditional health parameter measurement techniques such as polysomnography are not comfortable and introduce additional costs to the consumers. Therefore, in modern advanced self-health management devices, electronics and communication science are combined to provide appliances that can be used for SDB diagnosis, by monitoring a patient's physiological parameters with more comfort and accuracy. Additionally, development in machine learning algorithms provides accurate methods of analysing measured signals. This paper provides a comprehensive review of measurement approaches, data transmission, and communication networks, alongside machine learning algorithms for sleep stage classification, to diagnose SDB.
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PMID:Review on Biomedical Sensors, Technologies and Algorithms for Diagnosis of Sleep Disordered Breathing: Comprehensive Survey. 3310 14


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