Zhong Linda, Tian Liang, Ng Chester Yan Jie, Leung Choryin, Yang Xian, Liong Ching, Chen Haiyong, Wong Rowena, Ng Bacon Fl, Lin Z X, Feng Y B, Bian Z X
School of Chinese Medicine, Hong Kong Baptist University, Hong Kong.
School of Biological Sciences, Nanyang Technological University, Singapore.
Heliyon. 2023 Aug 25;9(9):e19410. doi: 10.1016/j.heliyon.2023.e19410. eCollection 2023 Sep.
Heterogeneous clinical conditions were observed in individuals who had recovered from COVID-19 and some symptoms were found to persist for an extended period post-COVID. Given the non-specific nature of the symptoms, Chinese medicine (CM) is advantageous in providing holistic medical assessment for individuals experiencing persisting problems. Chinese medicine is a type of treatment that involves prescribing regimens based on CM Syndromes diagnosed by CM practitioners. However, inadequate research on CM elements behind the practice has faced scrutiny.
This study analysed 1058 CM medical records from 150 post-COVID-19 individuals via a semi-text-mining approach. A logistic model with MCMCglmm was then utilised to analyse the associations between the indicated factors and identified conditions. Calculations were performed using R Studio and related libraries.
With the semi-text-mining approach, three common CM Syndromes (Qi and Yin Deficiency, Lung and Spleen Deficiency, Qi Deficiency of both Spleen and Lung) and nine clinical conditions (fatigue, poor sleep, dry mouth, shortness of breath, cough, headache, tiredness, sweating, coughing phlegm) were identified in the CM clinical records. Analysis via MCMCglmm revealed that the occurrence of persisting clinical conditions was significantly associated with female gender, existing chronic conditions (hypertension, high cholesterol, and diabetes mellitus), and the three persisting CM Syndromes. The current study triangulated the findings from our previous observational study, further showing that patients with certain post-COVID CM Syndromes had significantly increased log-odds of having persisting clinical conditions. Furthermore, this study elucidated that the presence of chronic conditions in the patients would also significantly increase the log-odds of having persistent post-COVID clinical conditions.
This study provided insights on mining text-based CM clinical records to identify persistent post-COVID clinical conditions and the factors associated with their occurrence. Future studies could examine the integration of integrating exercise modules, such as health qigong Liuzijue, into multidisciplinary rehabilitation programmes.
在新冠病毒病(COVID-19)康复者中观察到临床状况存在异质性,且发现一些症状在感染COVID后会持续很长时间。鉴于这些症状的非特异性,中医在为有持续问题的个体提供整体医学评估方面具有优势。中医是一种基于中医师诊断的中医证候来开处方的治疗方法。然而,对这种疗法背后的中医要素研究不足,受到了审视。
本研究通过半文本挖掘方法分析了150名COVID-19康复者的1058份中医病历。然后利用带有MCMCglmm的逻辑模型分析所指出的因素与所确定状况之间的关联。使用R Studio和相关库进行计算。
通过半文本挖掘方法,在中医临床记录中确定了三种常见的中医证候(气阴两虚、肺脾气虚、肺脾两虚)和九种临床状况(疲劳、睡眠不佳、口干、气短、咳嗽、头痛、疲倦、出汗、咳痰)。通过MCMCglmm分析发现,持续临床状况的发生与女性性别、现有慢性病(高血压、高胆固醇和糖尿病)以及三种持续的中医证候显著相关。本研究对我们之前的观察性研究结果进行了三角验证,进一步表明患有某些COVID后中医证候的患者出现持续临床状况的对数优势显著增加。此外,本研究阐明患者中存在慢性病也会显著增加COVID后持续临床状况的对数优势。
本研究为挖掘基于文本的中医临床记录以识别COVID后持续临床状况及其发生相关因素提供了见解。未来的研究可以考察将诸如健身气功六字诀等运动模块纳入多学科康复计划的情况。