Quantitative Assessment of Baseline Serum HDL-C to Predict Gout Flares During Urate-Lowering Therapy Initiation: A Prospective Cohort Study

定量评估基线血清高密度脂蛋白胆固醇水平以预测降尿酸治疗初期痛风发作:一项前瞻性队列研究

阅读:1

Abstract

PURPOSE: Previous studies have linked high-density lipoprotein cholesterol (HDL-C) to gout, but little is known about the dose-effect relationship between serum HDL-C levels and gout flares. This study aimed to quantify the association between the two during urate-lowering therapy initiation and develop a regression equation to predict gout flares. PATIENTS AND METHODS: We conducted a prospective, observational, single-center cohort study of men with gout. Patients were identified and grouped according to the level of serum HDL-C (1.16 mmol/L) at baseline and followed-up every four weeks until 12 weeks. RESULTS: A total of 394 participants completed the study (203 in the low HDL-C group; 191 in the high HDL-C group). The proportion of participants with gout flares in the low HDL-C group was significantly higher than in the high HDL-C group after 12 weeks follow-up (52.2% versus 35.6%, P=0.001). Patients with lower serum HDL-C level had higher risk of gout flares analyzed by restricted cubic spline and when serum HDL-C level = 1.15mmol/L, flare(HR) = 1. When combined with well-known risk factors, serum HDL-C predicted gout flares with an area under curve (AUC) of 0.75 (95% CI=0.70-0.80). Based on the logistic regression coefficients, we derived the following regression equation: Logit (P)= -2.282+0.05× [disease duration]+1.015× [recurrent flares in the last year]+0.698× [palpable tophus]+0.345× [serum urate]-1.349×[serum HDL-C]. CONCLUSION: Patients with gout presented a negative linear relationship between serum HDL-C and gout flares. Together with common clinical indicators, the AUC for gout flare prediction increased to 0.75. For patients with gout, remaining serum HDL-C level above 1.15 mmol/L may reduce the risk of gout flares.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。