Method for predicting improvement of DBS postoperative exercise symptoms of Parkinson's disease

A Parkinson's disease and symptom technology, applied in the field of Parkinson's intelligent diagnosis, can solve problems such as controversial prediction value

Pending Publication Date: 2021-07-30
GYENNO TECH
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Problems solved by technology

However, the response to levodopa is not always consistent with the effect of DBS, and the predictive value of the levodopa test remains controversial

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  • Method for predicting improvement of DBS postoperative exercise symptoms of Parkinson's disease
  • Method for predicting improvement of DBS postoperative exercise symptoms of Parkinson's disease
  • Method for predicting improvement of DBS postoperative exercise symptoms of Parkinson's disease

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Embodiment Construction

[0031] In order to express the present invention more clearly, the present invention will be further described below in conjunction with the accompanying drawings.

[0032] According to the Core Assessment Protocol for Surgical Interventional Therapy in Parkinson's Disease (CAPSIT-PD protocol), levodopa-induced reduction in motor symptoms reaching 30% of the MDS-UPDRS III (Unified Parkinson's Disease Rating Scale III) is considered the most definitive. Criteria for good surgical candidates. However, the response to levodopa is not always consistent with the effect of DBS, and the predictive value of the levodopa test remains controversial. Therefore, it is critical to develop new predictive models to reliably predict postoperative motor responses and assess whether DBS is appropriate for individual patients.

[0033] In order to solve the defects and deficiencies in the prior art, the present invention specifically provides a method for predicting the improvement of motor sym...

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Abstract

The invention relates to the field of intelligent diagnosis of Parkinson's disease, and concretely relates to a method for predicting improvement of DBS postoperative exercise symptoms of Parkinson's disease. The method comprises the following steps: collecting diagnosis data of a patient, scores of subitems and total items of MDS-UPDRS III of the patient before an operation and a total score sample of MDS-UPDRS III of a DBS machine switch under the condition of a drug switch period after the operation of the patient; calculating score change values of the MDS-UPDRS III of the patient after the operation under the state that the DBS machine is turned on and turned off; establishing a stepwise regression prediction model based on the acquired diagnostic data, the score of the subitems and the total item of the MDS-UPDRS III and the score change value of the MDS-UPDRS III; outputting a prediction formula for predicting the operation effect of the patient; calculating and predicting the post-operation MDS-UPDRS III score of the patient before the operation by using a prediction formula; and integrating the MDS-UPDRS III change value and the preoperative MDS-UPDRS III score to obtain the predicted post-operative MDS-UPDRS III total score, and predicating that whether the patient is suitable for the operation or not before the operation. The method has important significance on Parkinson's disease treatment.

Description

technical field [0001] The invention relates to the field of intelligent diagnosis of Parkinson's disease, in particular to a method for predicting the improvement of motor symptoms after DBS operation of Parkinson's disease. Background technique [0002] Parkinson's disease (PD) is the second most common neurodegenerative disease. It is more common in the elderly, with an average age of onset of about 60 years old, and young Parkinson's disease with onset under the age of 40 is rare. The prevalence of PD among people over 65 years old in my country is about 1.7%, while the world average is 1%. Most Parkinson's disease patients are sporadic cases, and less than 10% of patients have family history. The main pathological change of Parkinson's disease is the degeneration and death of dopamine (DA) neurons in the substantia nigra of the midbrain, which leads to a significant decrease in the content of DA in the striatum and causes the disease. The exact cause of this pathologic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00G16H50/70
CPCA61B5/4082A61B5/4848A61B5/7275G16H50/70
Inventor 凌云刘军施伟坤周海燕陈仲略任康
Owner GYENNO TECH
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