1.中山大学附属第三医院心血管内科,广东 广州 510635
2.中山大学附属第三医院风湿内科,广东 广州 510635
3.中山大学附属第三医院肾内科,广东 广州 510635
4.中山大学附属第三医院急诊内科,广东 广州 510635
汤磊乐,主治医师,博士生,研究方向:心肾综合征,E-mail:tleil@mail2.sysu.edu.cn
收稿:2021-11-04,
纸质出版:2022-03-20
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汤磊乐,郭兴华,李少敏等.高密度脂蛋白与 C反应蛋白比值对非透析慢性肾脏病进展的预测作用[J].中山大学学报(医学科学版),2022,43(02):305-315.
TANG Lei-le,GUO Xing-hua,LI Shao-min,et al.Predictive Effect of High Density Lipoprotein to C-reactive Protein Ratio on Progression of Chronic Kidney Disease in Non-Dialysis Patient[J].Journal of Sun Yat-sen University(Medical Sciences),2022,43(02):305-315.
汤磊乐,郭兴华,李少敏等.高密度脂蛋白与 C反应蛋白比值对非透析慢性肾脏病进展的预测作用[J].中山大学学报(医学科学版),2022,43(02):305-315. DOI: 10.13471/j.cnki.j.sun.yat-sen.univ(med.sci).2022.0217.
TANG Lei-le,GUO Xing-hua,LI Shao-min,et al.Predictive Effect of High Density Lipoprotein to C-reactive Protein Ratio on Progression of Chronic Kidney Disease in Non-Dialysis Patient[J].Journal of Sun Yat-sen University(Medical Sciences),2022,43(02):305-315. DOI: 10.13471/j.cnki.j.sun.yat-sen.univ(med.sci).2022.0217.
目的
2
探讨高密度脂蛋白(HDL)与C反应蛋白(CRP)比值(HDL/CRP)对非透析慢性肾脏病(CKD)患者肾功能恶化的预测作用。
方法
2
纳入2015年至2019年就诊于中山大学附属第三医院(天河院区、岭南院区),有至少2次随访数据的非透析慢性肾脏病患者。通过电子病案系统录入患者基线人口特点及生化检查结果。根据Ln(HDL/CRP) 四分位间距分组,正态分布连续性变量通过one-way ANOVA方差分析、非正态连续性变量通过Kruskal-Wallis秩和检验、分类变量通过卡方分析对患者人口数据、生化指标进行组间对比。并通过相关性分析、单因素和多因素线性回归分析、Cox生存分析,探讨HDL/CRP与基线eGFR、肾功能恶化事件的关系。
结果
2
共获得9 142名CKD患者资料,最终纳入439例患者。其中慢性肾小球肾炎患者100例(22.8%)、糖尿病肾病患者145例(33%)、高血压肾病患者40例(9.1%)、其他病因患者154例(35.1%)。根据Ln(HDL/CRP)四分位分组,Quartile 4组肾功能恶化发生率低于其他三组(11%
vs.
21.1%~21.8%),基线eGFR水平最高。从Quartile 1~4组,患者年龄和糖化血红蛋白水平逐渐降低、APOA1水平逐渐升高。慢性心力衰竭患病率、BMI、血红蛋白、白蛋白、TC、LDL、TG、APOB100水平四组间存在差异性。通过相关性分析发现 Ln(HDL/CRP)与基线eGFR正相关(
r
=0.162,
P
=0.001)。以肾功能恶化作为终点事件,通过多因素Cox回归分析,校正多种因素后,Ln(HDL/CRP)能进入最终方程[HR=0.79, 95%CI (0.69, 0.91)
, P
=0.001]。
结论
2
HDL/CRP能反应慢性肾脏病严重程度,对慢性肾脏病进展有预测作用。
Objective
2
To investigate the predictive effect of high density lipoprotein (HDL) to C-reactive protein (CRP) ratio (HDL/CRP) on the progression of chronic kidney disease (CKD) in non-dialysis patients.
Methods
2
Non-dialysis chronic kidney disease patients with at least two sets of follow-up data from the Third Affiliated Hospital of Sun Yat-sen University (Tian-he and Ling-nan districts)from 2015 to 2019 were enrolled. The baseline demographic characteristics and biochemical examination results were collected from the electronic medical record system. The patients were grouped according to the quantile of Ln(HDL/CRP). The demographic and biochemical data were compared among groups by one-way ANOVA for normal distribution continuous variables, Kruskal-Wallis rank-sum test for non-normal distribution continuous variables, and Chi-square analysis for categorical variables. The relationship between HDL/CRP and baseline eGFR was investigated by correlation analysis, univariate and multivariate linear regression analysis. The Cox
survival analysis were used to investigate the predictive effect of Ln(HDL/CRP) on renal deterioration events.
Results
2
Totally 9 142 patients with CKD were enrolled, and 439 patients were included in the end. There were 100 patients (22.8%) with chronic glomerulonephritis, 145 patients (33%) with diabetic nephropathy, 40 patients (9.1%) with hypertensive nephropathy, and 154 patients (35.1%) with other causes. According to Ln(HDL/CRP) quartile, group Quartile4 had a lower incidence of renal deterioration than the other three groups (11%
vs
. 21.1% to 21.8%) and had the highest baseline eGFR level. From Quartile1 to quartile 4 groups, age, Hba1c and APOA1 levels decreased gradually. The prevalence of chronic heart failure, BMI, hemoglobin, albumin, TC, LDL, TG, APOB100 levels were different among groups. Through correlation analysis, Ln (HDL/CRP) were positively correlated with baseline eGFR(
r
=0.162,
P
=0.001). After adjusting for a variety of factors by Cox regression analysis, Ln (HDL/CRP) could be included in the final equation when defined deterioration of renal function as end point [HR=0.79, 95%CI (0.69, 0.91)
, P
=0.001].
Conclusion
2
HDL/CRP can reflect the severity of chronic kidney disease, and the ratio of HDL and CRP can predict the progression of chronic kidney disease in non-dialysis patient.
Zhang L , Wang F , Wang L , et al . Prevalence of chronic kidney disease in China: a cross-sectional survey [J]. Lancet , 2012 , 379 ( 9818 ): 815 - 822 .
Yeh HC , Lo YC , Ting IW , et al . 24-hour serum creatinine variation associates with short- and long-term all-cause mortality: a real-world insight into early detection of acute kidney injury [J]. Sci Rep , 2020 , 10 ( 1 ): 6552 .
Xs G , Sq C , Cy D , et al . Association of post-procedural early (within 24h) increases in serum creatinine with all-cause mortality after coronary angiography [J]. Clin Chim Acta , 2017 , 474 : 96 - 101 .
Losito A , Nunzi E , Pittavini L , et al . Cardiovascular morbidity and long term mortality associated with in hospital small increases of serum creatinine [J]. J Nephrol , 2018 , 31 ( 1 ): 71 - 77 .
Bernardi MH , Ristl R , Neugebauer T , et al . Very early changes in serum creatinine are associated with 30-day mortality after cardiac surgery: a cohort study [J]. Eur J Anaesthesiol , 2020 , 37 ( 10 ): 898 - 907 .
Stuveling EM , Hillege HL , Bakker SJ , et al . C-reactive protein is associated with renal function abnormalities in a non-diabetic population [J]. Kidney Int , 2003 , 63 ( 2 ): 654 - 661 .
Chen S , Liu H , Liu X , et al . Central obesity, C-reactive protein and chronic kidney disease: a community-based cross-sectional study in southern China [J]. Kidney Blood Press Res , 2013 , 37 ( 4-5 ): 392 - 401 .
Sesso HD , Wang L , Buring JE , et al . Comparison of interleukin-6 and C-reactive protein for the risk of developing hypertension in women [J]. Hypertension , 2007 , 49 ( 2 ): 304 - 310 .
Savoia C , Schiffrin EL . Inflammation in hypertension [J]. Curr Opin Nephrol Hypertens , 2006 , 15 ( 2 ): 152 - 158 .
Boos CJ , Lip GY . Is hypertension an inflammatory process? [J]. Curr Pharm Des , 2006 , 12 ( 13 ): 1623 - 1635 .
Di Napoli M , Papa F . Systemic inflammation, blood pressure, and stroke outcome [J]. J Clin Hypertens (Greenwich) , 2006 , 8 ( 3 ): 187 - 194 .
Trachtman H , Futterweit S , Arzberger C , et al . Nitric oxide and superoxide in rat mesangial cells: modulation by C-reactive protein [J]. Pediatr Nephrol , 2006 , 21 ( 5 ): 619 - 626 .
Black S , Kushner I , Samols D . C-reactive protein [J]. J Biol Chem , 2004 , 279 ( 47 ): 48487 - 48490 .
Keane WF , Kasiske BL , O'Donnell MP . Lipids and progressive glomerulosclerosis. a model analogous to atherosclerosis [J]. Am J Nephrol , 1988 , 8 ( 4 ): 261 - 271 .
Abrass CK . Cellular lipid metabolism and the role of lipids in progressive renal disease [J]. Am J Nephrol , 2004 , 24 ( 1 ): 46 - 53 .
Rader DJ . Molecular regulation of HDL metabolism and function: implications for novel therapies [J]. J Clin Invest , 2006 , 116 ( 12 ): 3090 - 3100 .
Ganjali S , Gotto AJ , Ruscica M , et al . Monocyte-to-HDL-cholesterol ratio as a prognostic marker in cardiovascular diseases [J]. J Cell Physiol , 2018 , 233 ( 12 ): 9237 - 9246 .
Usta A , Avci E , Bulbul CB , et al . The monocyte counts to HDL cholesterol ratio in obese and lean patients with polycystic ovary syndrome [J]. Reprod Biol Endocrinol , 2018 , 16 ( 1 ): 34 .
Yano M , Nishino M , Ukita K , et al . High density lipoprotein cholesterol / C reactive protein ratio in heart failure with preserved ejection fraction [J]. ESC Heart Fail , 2021 , 8 ( 4 ): 2791 - 2801 .
Kontush A . HDL-mediated mechanisms of protection in cardiovascular disease [J]. Cardiovasc Res , 2014 , 103 ( 3 ): 341 - 349 .
Fox CS , Larson MG , Leip EP , et al . Predictors of new-onset kidney disease in a community-based population [J]. JAMA , 2004 , 291 ( 7 ): 844 - 850 .
Klein R , Klein BE , Moss SE , et al . The 10-year incidence of renal insufficiency in people with type 1 diabetes [J]. Diabetes Care , 1999 , 22 ( 5 ): 743 - 751 .
Nam KH , Chang TI , Joo YS , et al . Association between serum high-density lipoprotein cholesterol levels and progression of chronic kidney disease: results from the KNOW-CKD [J]. J Am Heart Assoc , 2019 , 8 ( 6 ): e11162 .
Kanda E , Ai M , Okazaki M , et al . Association of high-density lipoprotein subclasses with chronic kidney disease progression, atherosclerosis, and klotho [J]. PLoS One , 2016 , 11 ( 11 ): e166459 .
Raupachova J , Kopecky C , Cohen G . High-density lipoprotein from chronic kidney disease patients modulates polymorphonuclear leukocytes [J]. Toxins (Basel) , 2019 , 11 ( 2 ): 73 .
Vaziri ND , Navab M , Fogelman AM . HDL metabolism and activity in chronic kidney disease [J]. Nat Rev Nephrol , 2010 , 6 ( 5 ): 287 - 296 .
KDIGO 2021 Clinical Practice Guideline for the Management of Blood Pressure in Chronic Kidney Disease [J]. Kidney Int , 2021, 99 ( 3S ): S1 - S87 .
中国高血压防治指南(2018年修订版) [J]. 中国心血管杂志 , 2019 , 24 ( 1 ): 24 - 56 .
Chinese guidelines for the management of hypertension(2018 edition) [J]. Chin J Cardiovasc Med , 2019 , 24 ( 1 ): 24 - 56
中华医学会糖尿病学分会 . 中国2型糖尿病防治指南(2020年版) [J]. 国际内分泌代谢杂志 , 2021 , 41 ( 5 ): 482 - 548 .
CDS . Guideline for the prevention and treatment of type 2 diabetes mellitus in China(2020 edition) [J]. Int J Diabetes Mellitus , 2021 , 41 ( 5 ): 482 - 548 .
Provenzano M , Rotundo S , Chiodini P , et al . Contribution of predictive and prognostic biomarkers to clinical research on chronic kidney disease [J]. Int J Mol Sci , 2020 , 21 ( 16 ): 73 .
Park J , Kim HJ , Kim J , et al . Predictive value of serum albumin-to-globulin ratio for incident chronic kidney disease: a 12-year community-based prospective study [J]. PLoS One , 2020 , 15 ( 9 ): e238421 .
Abdel RA , Shin TY , Chang KD , et al . Yonsei nomogram: A predictive model of new-onset chronic kidney disease after on-clamp partial nephrectomy in patients with T1 renal tumors [J]. Int J Urol , 2018 , 25 ( 7 ): 690 - 697 .
Herget-Rosenthal S , Dehnen D , Kribben A , et al . Progressive chronic kidney disease in primary care: modifiable risk factors and predictive model [J]. Prev Med , 2013 , 57 ( 4 ): 357 - 362 .
Emoto T , Sawada T , Morimoto N , et al . The apolipoprotein B/A1 ratio is associated with reactive oxygen metabolites and endothelial dysfunction in statin-treated patients with coronary artery disease [J]. J Atheroscler Thromb , 2013 , 20 ( 7 ): 623 - 629 .
Bellomo G , Venanzi S , Verdura C , et al . Association of uric acid with change in kidney function in healthy normotensive individuals [J]. Am J Kidney Dis , 2010 , 56 ( 2 ): 264 - 272 .
Orth SR . Effects of smoking on systemic and intrarenal hemodynamics: influence on renal function [J]. J Am Soc Nephrol , 2004 , 15 Suppl 1 : S58 - S63 .
Oram JF , Lawn RM . ABCA1. The gatekeeper for eliminating excess tissue cholesterol [J]. J Lipid Res , 2001 , 42 ( 8 ): 1173 - 1179 .
Walldius G , Jungner I , Holme I , et al . High apolipoprotein B, low apolipoprotein A-I, and improvement in the prediction of fatal myocardial infarction (AMORIS study): a prospective study [J]. Lancet , 2001 , 358 ( 9298 ): 2026 - 2033 .
Oram JF , Lawn RM , Garvin MR , et al . ABCA1 is the cAMP-inducible apolipoprotein receptor that mediates cholesterol secretion from macrophages [J]. J Biol Chem , 2000 , 275 ( 44 ): 34508 - 34511 .
Wang N , Silver DL , Costet P , et al . Specific binding of ApoA-I, enhanced cholesterol efflux, and altered plasma membrane morphology in cells expressing ABC1 [J]. J Biol Chem , 2000 , 275 ( 42 ): 33053 - 33058 .
Pirillo A , Catapano AL , Norata GD . Biological consequences of dysfunctional HDL [J]. Curr Med Chem , 2019 , 26 ( 9 ): 1644 - 1664 .
胡文涛 , 李少敏 , 刘佩佳 , 等 . 血脂水平在不同CKD分期患者中与心血管事件和全因死亡预后关系研究 [J]. 新医学 , 2020 , 51 ( 6 ): 439 - 444 .
Hu WT , Li SM , Liu PJ , et al . Correlation between blood lipid levels and prognosis of cardiovascular events and all-cause death in patients with different stages of chronic kidney diseases [J]. J New Med , 2020 , 51 ( 6 ): 439 - 444 .
Dini FL , Demmer RT , Simioniuc A , et al . Right ventricular dysfunction is associated with chronic kidney disease and predicts survival in patients with chronic systolic heart failure [J]. Eur J Heart Fail , 2012 , 14 ( 3 ): 287 - 294 .
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