摘要
一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-疾病属性的新研究-慢性疾病是一篇报道的主题。根据《中华人民共和国四川消息》，NewsRx记者报道，“有机氯农药因其在环境中的持久性和潜在的生物累积性而引起了人们的极大关注。本研究探讨了有机氯农药对死亡率和慢性病的影响，调查了与炎症状态的IR联系，并考察了抗炎饮食在减轻这些农药不良反应中的作用。”本文采自四川大学的一篇研究报告:“本研究共2847人,使用气相色谱和质谱技术测定了NHANES数据中有机氯农药的暴露量,并采用生存曲线、Cox比例风险回归、回归分析和限制性二次样条分析等传统统计方法研究了农药与死亡率、慢性疾病和炎症的关系。”利用RF、AdaBoost、ExtraTrees、LightGBM和BPNN等指标评价农药对慢性疾病和死亡率预测的影响,发现有机氯农药与死亡率的增加呈显著正相关(P<0.05),并与慢性肾脏病、糖尿病、高血压等慢性疾病的发病率呈显著正相关(P<0.05)。此外，血清C反应蛋白(CRP)和C反应蛋白/血清白蛋白比值(CAR)与这些物质浓度之间存在很强的相关性，表明它们在特定浓度下具有促炎作用。通过改变饮食减少饮食炎症，有效地降低了有机氯农药高暴露水平下的死亡风险，但在低至中等暴露水平下，这种影响就不那么明显了。有机氯农药暴露与更高的死亡风险有关，可能是由于慢性病的发病率增加。
Abstract
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."
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