李建民教授治疗慢性肾脏病合并高尿酸血症的临证经验
Chinese Journal of Integrated Traditional and Western Nephrology（2020）
Abstract
慢性肾脏病( chronic kidney disease,CKD)是指肾脏损伤(肾脏结构或功能异常)≥3个月,且这种损伤对健康有影响[1] .高尿酸血症( hyperuricemia,HUA)是嘌呤代谢异常所引起的一种代谢性疾病.在正常嘌呤饮食状态下,男性血尿酸水平>420 μmol/L,女性>357 μmol/L即可确诊[2] .尿酸主要通过肾脏排泄,肾脏疾病是HUA发生的重要病因,多种肾脏疾病常合并HUA,如糖尿病肾病、IgA肾病、膜性肾病.有关研究表明[3～5] ,血尿酸长期不达标使肾脏疾病发生发展的风险明显提高,因此HUA作为肾脏受损的标志之一,它既是新发CKD的独立危险因素,也是慢性肾衰竭发生的强有力的预测因素.并且CKD和HUA共同加剧了心血管疾病死亡风险的发生,故临床对CKD患者血尿酸水平的合理重视,对延缓CKD进入终末期和心血管死亡事件的发生起着关键作用.
More求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- 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
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined