胸痹心痛方配合耳穴压豆治疗气滞血瘀型稳定型心绞痛的临床疗效研究

反射疗法与康复医学（2021）

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Abstract

目的观察胸痹心痛方配合耳穴压豆治疗气滞血瘀型稳定型心绞痛的临床疗效.方法选取2018年1—12月荣成市中医院收治的72例气滞血瘀型稳定型心绞痛患者,随机分为对照组和观察组,各36例.对照组接受西医常规治疗,观察组在对照组基础上采用胸痹心痛方配合耳穴压豆治疗.比较两组治疗前后的各项临床指标.结果治疗后,观察组心绞痛积分、中医证候总积分、心绞痛与心电图治疗总有效率、硝酸甘油停减率、血脂水平以及血浆同型半胱氨酸水平均优于对照组,组间差异有统计学意义(P<0.05).结论针对气滞血瘀型稳定型心绞痛患者,在西药治疗基础上采用胸痹心痛方配合耳穴压豆治疗的临床效果显著,在降低患者血脂水平等方面具有很好的疗效.

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Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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