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

摘要： 帕金森病（Parkinson's disease，PD）是一种常见的年龄相关性神经退行性疾病。男性为~2倍 与女性相比更容易患PD。PD是男性和女性之间的明显不同;从年龄的 发病、症状和严重程度。虽然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引起的激素和免疫变化），这些 在预测模型和治疗计划中经常忽略这些因素。研究报告称， 延迟或不正确的PD诊断率较高，不太可能接受治疗或看到 一旦被专科医生诊断，与健康有关的生活质量低于男性。尽管斯塔克 男性和女性之间PD的风险和严重程度存在差异，没有普遍接受的 背后的原因，让妇女，特别是拉丁美洲人，在PD中知之甚少。为了对抗这个巨大的俯瞰 对于拉丁美洲人和妇女的健康，我们将向1,208名被招募的拉丁美洲人部署我们的妇女问卷， 通过LARGE-PD、PD GENERation和克利夫兰诊所在美洲和加勒比地区开展。我们 将使用新的机器学习方法来生成首个PD严重程度的预测模型 （由PD临床评分和症状特征确定），包括女性特有的健康因素 还有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， 特别是对妇女，更重要的是，拉丁美洲人，改变范式，强调性别，文化， 和种族问题此外，该项目将影响PD研究纳入性别特异性经验 基因和其他因素。通过确定女性特有的健康因素之间的新关联， 遗传学和PD严重程度，这项研究有可能减少拉丁美洲人在医疗保健方面的不公平-不仅仅是 帕金森病也可能是其他神经系统疾病

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.