帕金森病相关运动障碍人群糖尿病合并症的回顾性分析

F. Zarola
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工作背景和目的:当时的一些研究表明,糖尿病在帕金森病和相关疾病中的合并症很高。在我们的临床经验中也发现了这种印象。因此,决定利用在临床实践中收集的原始数据,对受影响人群的糖尿病发病率进行研究。分析的目的是确定糖尿病作为锥体外系疾病的危险因素的可能作用。方法:研究帕金森病(PD)组88例,其中糖尿病患者18例(20.45%,约1 / 4);特发性震颤(ET)组68例,其中糖尿病患者17例(25%);血管性帕金森病(VP)组21例,其中糖尿病患者5例(23.8%)。结果:该比率在给定糖尿病疾病的三个亚群中显示相对均匀的分布。结果表明,各组间比较无统计学意义。同样,检查病理(PD, VP和ET)的个体组与招募的对照组之间的比较在糖尿病共病发生率方面没有显着性。结论:糖尿病患者和非糖尿病患者之间的差异缺乏相关性,但这并不排除代谢异常对锥体外系疾病的可能影响,因为有必要考虑临床研究难以测量的生化因素。
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Retrospective Analysis of Diabetes Comorbidity in Populations with Movement Disorders Related to Parkinson's Disease
Background and aim of the work: Some studies during the time have shown a high comorbidity of diabetes in parkinson's disease and related disorders. This imprerssion was also detected in our clinical experience. Therefore it was decided to carry out a study about the incidence of diabetes in affected populations using the raw data collected in clinical practice. The purpose of the analysis was to establish a possible action of diabetes as a risk factor for extrapyramidal diseases. Methods: We studied a group of 88 subjects with Parkinson’s Disease (PD) of which 18 with diabetes (20.45%, about 1 in 4), a group with Essential Tremor (ET) consisting of 68 subjects of which 17 affected by diabetes (25%) and a group with Vascular Parkinsonism (VP) consisting of 21 subjects of which 5 with diabetes (23.8%). Results: The ratios showed a relatively homogeneous distribution in the three sub-populations of the given diabetic disease. The results indicated that the statistic comparison between the various groups examined did not give any statistical significance. Similarly, the comparison between the individual groups with the pathologies examined (PD, VP and ET) and the recruited control population was not significant as regards the incidence of diabetes as comorbidity. Conclusion: The scarce relevance in the differences between patients with diabetes and without does not exclude tout court a possible influence of the dysmetabolic disorder on extrapyramidal diseases as it is necessary to take into account biochemical factors that are difficult to measure with clinical studies.
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