首页|Sichuan University Reports Findings in Chronic Disease (Potential lethality of o rganochlorine pesticides: Inducing fatality through inflammatory responses in th e organism)
Sichuan University Reports Findings in Chronic Disease (Potential lethality of o rganochlorine pesticides: Inducing fatality through inflammatory responses in th e organism)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Disease Attributes - C hronic Disease is the subject of a report. According to news originating from Si chuan, People's Republic of China, by NewsRx correspondents, research stated, "O rganochlorine pesticides, with their environmental persistence and bioaccumulati on potential, have gained significant attention. This study explores the impact of organochlorine pesticides on mortality and chronic diseases, investigates the ir link to inflammatory states, and examines the role of anti-inflammatory diets in mitigating adverse reactions to these pesticides." Our news journalists obtained a quote from the research from Sichuan University, "This study, with 2,847 participants, used gas chromatography and mass spectrom etry to measure organochlorine pesticide exposure in NHANES data. Conventional s tatistical methodologies, encompassing survival curves, Cox proportional hazards regression, regression analysis, and restricted quadratic spline analysis, were employed to investigate the association between pesticides and mortality, chron ic ailments, and inflammation. Furthermore, machine learning techniques, compris ing RF, AdaBoost, Extra-Trees, LightGBM, and BPNN, were leveraged to evaluate th e impact of pesticides on chronic disease and mortality prognostication. Organoc hlorine pesticides were significantly and positively correlated with increased m ortality (p <0.05). Additionally, these pollutants were lin ked to the incidence of chronic diseases such as chronic kidney disease, diabete s, and hypertension (p <0.05). Our study, utilizing variou s machine learning models, also showed a notable increase in the Area Under the Curve when incorporating organochlorine pesticide indicators into the model as o pposed to excluding them. Furthermore, strong correlations were observed between serum c-reactive protein (CRP) and CRP to serum albumin ratio (CAR) concentrati ons with these substances, demonstrating their pro-inflammatory effects at speci fic concentrations. Interestingly, cutting down on dietary inflammation through changes in diet effectively reduced the risk of death at high organochlorine pes ticide exposure levels, but the effect was less noticeable at low to moderate ex posure levels. Exposure to organochlorine pesticides was linked to a higher risk of mortality, likely due to an increased prevalence of chronic diseases."
SichuanPeople's Republic of ChinaAsiaAgrochemicalsChronic DiseaseCyborgsDisease AttributesEmerging Technol ogiesHealth and MedicineInflammationMachine LearningPesticidesRisk and Prevention
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