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基于疾病-证候结合的脑卒中后抑郁中医证候量化诊断模型研究

Study on quantitative diagnosis model of TCM syndromes of post-stroke depression based on combination of disease and syndrome.

机构信息

First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion.

Nankai University Affiliated Hospital, Tianjin.

出版信息

Medicine (Baltimore). 2021 Mar 26;100(12):e25041. doi: 10.1097/MD.0000000000025041.

DOI:10.1097/MD.0000000000025041
PMID:33761663
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9281908/
Abstract

BACKGROUND

Post-stroke depression (PSD) is one of the most common stroke complications with high morbidity. Researchers have done much clinical research on Traditional Chinese Medicine (TCM) treatment, but very little research on diagnosis. Based on the thought of combination of disease and syndrome, this study will establish a unified and objective quantitative diagnosis model of TCM syndromes of PSD, so as to improve the clinical diagnosis and treatment of PSD.

OBJECTIVE

First: To establish a unified and objective quantitative diagnosis model of TCM syndromes in PSD under different disease courses, and identify the corresponding main, secondary, and concurrent symptoms, which are based on the weighting factor of each TCM symptom. Second: To find out the relationship between different stages of PSD and TCM syndromes. Clarify the main syndrome types of PSD under different stages of disease. Reveal the evolution and progression mechanism of TCM syndromes of PSD.

METHODS AND ANALYSIS

This is a retrospective study of PSD TCM diagnosis. Three hundred patients who were hospitalized in the First Teaching Hospital of Tianjin University of TCM with complete cases from January 2014 to January 2019 are planned to be recruited. The study will mainly collect the diagnostic information from the cases, find the related indicators of TCM and Western medicine in PSD, and clarify the relationship between different disease stages and TCM syndromes. Finally, the PSD TCM syndrome quantitative diagnosis model will be established based on the operation principle of Back Propagation (BP) artificial neural network.

CONCLUSION

To collect sufficient medical records and establish models to speed up the process of TCM diagnosis.

摘要

背景

脑卒中后抑郁(PSD)是最常见的脑卒中并发症之一,发病率较高。研究人员对中医药治疗 PSD 进行了大量的临床研究,但对诊断的研究却很少。本研究基于疾病与证候相结合的思想,建立 PSD 中医证候的统一、客观的定量诊断模型,提高 PSD 的临床诊断和治疗水平。

目的

一、建立不同病程 PSD 的中医证候统一、客观的定量诊断模型,确定各中医证候的权重因子及相应的主症、次症、兼症,二、找出 PSD 不同阶段与中医证候的关系,明确 PSD 不同阶段的主要证候类型,揭示 PSD 中医证候的演变和进展机制。

方法与分析

本研究是一项 PSD 中医诊断的回顾性研究,计划纳入 2014 年 1 月至 2019 年 1 月在天津中医药大学第一附属医院住院的、资料完整的 300 例 PSD 患者。研究将主要收集病例的诊断信息,找出 PSD 中医、西医相关指标,明确不同疾病阶段与中医证候的关系,最后基于反向传播(BP)人工神经网络的运算原理,建立 PSD 中医证候定量诊断模型。

结论

收集足够的病历并建立模型,以加快中医诊断的进程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88f0/9281908/6c7a6612fce2/medi-100-e25041-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88f0/9281908/6c7a6612fce2/medi-100-e25041-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88f0/9281908/6c7a6612fce2/medi-100-e25041-g001.jpg

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