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美国帕金森病死亡率的趋势与差异及机器学习预测

Trends and Disparities in Parkinson's Disease Mortality in the United States with Predictions Using Machine Learning.

作者信息

Weresh Henry, Hermann Kallin, Al-Salahat Ali, Noor Amna, Billion Taylor, Chen Yu-Ting, Tauseef Abubakar, Abdul Jabbar Ali Bin

机构信息

School of Medicine, Creighton University, Omaha, NE 68178, USA.

Neurology Department, Creighton University, Omaha, NE 68178, USA.

出版信息

NeuroSci. 2025 Jan 15;6(1):6. doi: 10.3390/neurosci6010006.

DOI:10.3390/neurosci6010006
PMID:39846565
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11755521/
Abstract

BACKGROUND

Parkinson's disease (PD) is a progressive neurodegenerative condition characterized by the degradation of dopaminergic pathways in the brain. As the population in the United States continues to age, it is essential to understand the trends in mortality related to PD. This analysis of PD's mortality characterizes temporal shifts, examines demographic and regional differences, and provides machine-learning predictions.

METHODS

PD-related deaths in the United States were gathered from CDC WONDER. Age-adjusted mortality rates (AAMR) were collected, and trends were analyzed based on gender, race, region, age, and place of death. Annual percent change and average annual percent change were calculated using Joinpoint Regression program. Forecasts were obtained using the optimal Autoregressive Integrated Moving Average (ARIMA) model.

RESULTS

Overall mortality rate due to Parkinson's increased from 1999 to 2022. Male gender, White race, Southern region, and older ages were associated with higher mortality compared to other groups. Deaths at home decreased and hospice deaths increased during the study period.

CONCLUSIONS

This study highlights the increasing rate of PD AAMR and how it may become even more prevalent with time, emphasizing the value of increasing knowledge surrounding the disease and its trends to better prepare health systems and individual families for the burden of PD.

摘要

背景

帕金森病(PD)是一种进行性神经退行性疾病,其特征是大脑中多巴胺能通路的退化。随着美国人口持续老龄化,了解与PD相关的死亡率趋势至关重要。这项对PD死亡率的分析描述了时间变化,研究了人口统计学和地区差异,并提供了机器学习预测。

方法

从美国疾病控制与预防中心(CDC)的WONDER数据库收集美国与PD相关的死亡数据。收集年龄调整死亡率(AAMR),并根据性别、种族、地区、年龄和死亡地点分析趋势。使用Joinpoint回归程序计算年度百分比变化和平均年度百分比变化。使用最优自回归积分移动平均(ARIMA)模型进行预测。

结果

从1999年到2022年,帕金森病导致的总体死亡率有所上升。与其他群体相比,男性、白人、南部地区和老年人的死亡率更高。在研究期间,在家中死亡的人数减少,临终关怀死亡的人数增加。

结论

本研究强调了PD的AAMR上升速度以及随着时间推移其可能变得更加普遍的情况,强调了增加对该疾病及其趋势的了解对于让卫生系统和个体家庭更好地应对PD负担的价值。

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