Modeling the impact of Women's Specific Health Factors in PD outcomes in Latinas

摘要： 帕金森病(Parkinson‘s Disease，PD)是世界范围内流行的一种与年龄相关的神经退行性疾病。男人是~2倍 与女性相比，患帕金森病的可能性更大。帕金森病在男性和女性之间有明显的不同；从 发病、症状和严重程度。虽然已经有一些研究确定了女性特有的健康因素 (由于月经、怀孕和更年期等经历而引起的激素和免疫学变化)，这些 在预测模型和治疗计划中，因素往往被忽略。研究报告称，女性 帕金森病诊断延迟或误诊率较高，接受治疗或看医生的可能性较小 专科医生一旦确诊，与健康相关的生活质量比男性低。尽管严酷 在帕金森病的风险和严重程度上男性和女性之间的差异，没有普遍接受的 背后的原因(S)，留下女性，特别是拉丁裔，在PD鲜为人知。与这一伟大的忽视作斗争 关于拉丁裔和妇女健康，我们将向所有被招募的1208名拉丁裔发放我们的妇女问卷 通过大型PD、PD世代和克利夫兰诊所横跨美洲和加勒比海。我们 将使用新的机器学习方法来生成首个PD严重程度预测模型 (由帕金森病临床评分和症状特征决定)，包括女性特有的健康因素 以及临床、人口统计学和遗传因素。我们的目标是创建PD预测模型 特别是女性，而且是拉丁裔，改变了范式，强调了性、文化、 以及警局的种族问题。此外，该项目将影响帕金森病的研究，以纳入特定性别的经验 加上遗传和其他因素。通过确定女性特有的健康因素之间的新关联， 遗传学和PD严重性，这项研究有可能减少拉丁裔在医疗保健方面的不平等--不仅仅是 对帕金森病，但也可能对其他神经疾病。

Abstract: Parkinson’s disease (PD) is a prevalent age-related neurodegenerative disorder worldwide. Men are ~2 times more likely to develop PD compared to women. PD is starkly different between men and women; from age of onset, symptoms, and severity. While there have been some studies identifying women-specific health factors (hormonal and immunological changes due to experiences like menses, pregnancies, and menopause), these factors are often ignored in predictive models and treatment plans. Studies have reported that women experience higher rates of delayed or incorrect PD diagnosis, are less likely to receive therapy or see a specialist once diagnosed, and have a lower health-related quality of life than men. Despite the stark differences seen in the risk and severity of PD between men and women, there is no universally accepted reason(s) behind it, leaving women, especially Latinas, poorly understood in PD. To combat this great overlook for Latinas and women’s health, we will deploy our women’s questionnaire to 1,208 Latinas being recruited all across the Americas and the Caribbean through LARGE-PD, PD GENEration, and The Cleveland Clinic. We will use novel machine learning approaches to generate a first-of-its-kind predictive model for PD severity (determined by the PD clinical score and symptoms profile) that includes the women-specific health factors alongside clinical, demographic, and genetic factors. Our goal is to create PD predictive models that are specific to women and moreover, Latinas, shifting the paradigm to emphasize the importance of sex, culture, and ethnicity in PD. In addition, this project will influence PD research to incorporate sex-specific experiences alongside genetics and other factors. By identifying novel associations between women-specific health factors, genetics, and PD severity, this study has the potential to reduce inequities in healthcare for Latinas – not just for PD but also perhaps for other neurological conditions.