• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

超重与肾移植中每年肾小球滤过率的更快下降有关。

Being Overweight Is Related to Faster Decline in Annual Glomerular Filtration Rate in Kidney Transplant.

作者信息

Seija M, Nin M, Santiago J, Apaza L, Castaño A, Poggi L, Urioste I, Chiossoni A, Fernandez A, Navarrine N, Garau M, Astesiano R, Ferrari M S, Noboa O

机构信息

Centro de Nefrología, Hospital de Clínicas, Facultad de Medicina, UdeLaR, Montevideo, Uruguay; Departamento de Fisiopatología, Hospital de Clínicas, Facultad de Medicina, UdeLaR, Montevideo, Uruguay.

Centro de Nefrología, Hospital de Clínicas, Facultad de Medicina, UdeLaR, Montevideo, Uruguay.

出版信息

Transplant Proc. 2018 Dec;50(10):3392-3396. doi: 10.1016/j.transproceed.2018.04.040. Epub 2018 Apr 18.

DOI:10.1016/j.transproceed.2018.04.040
PMID:30577211
Abstract

UNLABELLED

Few studies have examined the relationship between non-immunological factors and glomerular filtration rate (GFR) decline in kidney transplant. Correcting these factors in native kidneys slows the progression of chronic kidney disease. The aim of this study was to analyze the association between the control of non-immunological factors and the annual decline of GFR.

METHODS

A single-center, retrospective study was performed. We included 128 patients who received kidney transplants between 2000 and 2015, with at least 1-year post-transplant follow-up. Clinical records were reviewed. GFR was estimated by CKD-EPI. Three groups were defined according to the annual change in eGFR (ΔGFR 2016-1015): non-progressors (> -1 mL/min/1.73 m), slow progressors (> -1 and < -5 mL/min/1.73 m), and fast progressors (< -5 mL/min/1.73 m). Percentage of achievement of KDIGO target was also analyzed.

RESULTS

The mean GFR was 62.5 mL/min/1.73 m. Glomerulonephritis was the most common cause of kidney failure (36%). When the fast progressor group was compared with the non-progressor group, they differed significantly in age-patients were younger (40 ± 12.3 vs 45 ± 13.1 years)-post-transplant body mass index (27.4 ± 5.6 vs 25.2 x ± 5.9 kg/m), and serum uric acid, which was significantly higher (6.4 ± 1.7 vs 5.5 ± 1.58 mg/dL). There were no differences between the groups with regard to blood pressure, dyslipidemia, proteinuria, or venous bicarbonate. Target systolic blood pressure was achieved by 45% of patients. Biopsy-proven acute rejection was higher in the fast progression group, although this was not statistically significant (13 [24.5%] vs 8 [13.1%]).

CONCLUSIONS

High body mass index was associated with a faster decline in glomerular filtration rate in this study. Target blood pressure <140/90 mm Hg was achieved in less than 50% of cases.

摘要

未标注

很少有研究探讨肾移植中非免疫因素与肾小球滤过率(GFR)下降之间的关系。纠正天然肾脏中的这些因素可减缓慢性肾脏病的进展。本研究的目的是分析非免疫因素的控制与GFR年度下降之间的关联。

方法

进行了一项单中心回顾性研究。我们纳入了2000年至2015年间接受肾移植且移植后至少随访1年的128例患者。对临床记录进行了回顾。GFR通过CKD-EPI估算。根据估算的肾小球滤过率(eGFR)的年度变化(ΔGFR 2016 - 2015)定义了三组:非进展者(> -1 mL/min/1.73 m²)、缓慢进展者(> -1且< -5 mL/min/1.73 m²)和快速进展者(< -5 mL/min/1.73 m²)。还分析了达到KDIGO目标的百分比。

结果

平均GFR为62.5 mL/min/1.73 m²。肾小球肾炎是肾衰竭最常见的原因(36%)。将快速进展组与非进展组进行比较时,他们在年龄(患者更年轻,40 ± 12.3岁对45 ± 13.1岁)、移植后体重指数(27.4 ± 5.6对25.2 ± 5.9 kg/m²)和血清尿酸方面存在显著差异,血清尿酸显著更高(6.4 ± 1.7对5.5 ± 1.58 mg/dL)。各组在血压、血脂异常、蛋白尿或静脉血碳酸氢盐方面无差异。45%的患者达到了目标收缩压。快速进展组活检证实的急性排斥反应更高,尽管这无统计学意义(13例[24.5%]对8例[13.1%])。

结论

在本研究中,高体重指数与肾小球滤过率更快下降相关。不到50%的病例达到了目标血压<140/90 mmHg。

相似文献

1
Being Overweight Is Related to Faster Decline in Annual Glomerular Filtration Rate in Kidney Transplant.超重与肾移植中每年肾小球滤过率的更快下降有关。
Transplant Proc. 2018 Dec;50(10):3392-3396. doi: 10.1016/j.transproceed.2018.04.040. Epub 2018 Apr 18.
2
Slow progression of chronic kidney disease and what it is associated with.慢性肾脏病的缓慢进展及其相关因素。
Prilozi. 2008 Jul;29(1):153-65.
3
Influence of obesity on progression of non-diabetic chronic kidney disease: a retrospective cohort study.肥胖对非糖尿病慢性肾脏病进展的影响:一项回顾性队列研究。
Nephron Clin Pract. 2009;113(1):c16-23. doi: 10.1159/000228071. Epub 2009 Jul 10.
4
Contemporary rates and predictors of fast progression of chronic kidney disease in adults with and without diabetes mellitus.成年人糖尿病与非糖尿病患者慢性肾脏病快速进展的现代比率和预测因素。
BMC Nephrol. 2018 Jun 22;19(1):146. doi: 10.1186/s12882-018-0942-1.
5
Survival and Functional Stability in Chronic Kidney Disease Due to Surgical Removal of Nephrons: Importance of the New Baseline Glomerular Filtration Rate.由于肾单位切除导致的慢性肾脏病的生存和功能稳定性:新的肾小球滤过率基线的重要性。
Eur Urol. 2015 Dec;68(6):996-1003. doi: 10.1016/j.eururo.2015.04.043. Epub 2015 May 23.
6
The Chronic Kidney Disease Epidemiology Collaboration equation outperforms the Modification of Diet in Renal Disease equation for estimating glomerular filtration rate in chronic systolic heart failure.慢性肾脏病流行病学协作组方程在估算慢性收缩性心力衰竭患者肾小球滤过率方面优于肾脏病膳食改良公式。
Eur J Heart Fail. 2014 Jan;16(1):86-94. doi: 10.1093/eurjhf/hft128. Epub 2013 Dec 3.
7
High Ambulatory Arterial Stiffness Index Is an Independent Risk Factor for Rapid Age-Related Glomerular Filtration Rate Decline in the General Middle-Aged Population.高动态动脉僵硬度指数是一般中年人群中与年龄相关的肾小球滤过率快速下降的独立危险因素。
Hypertension. 2017 Apr;69(4):651-659. doi: 10.1161/HYPERTENSIONAHA.117.09020. Epub 2017 Feb 21.
8
Comparison Between CKD-EPI Creatinine and MDRD Equations to Estimate Glomerular Filtration Rate in Kidney Transplant Patients.比较CKD-EPI肌酐方程与MDRD方程在估算肾移植患者肾小球滤过率中的应用
Transplant Proc. 2016 Mar;48(2):625-30. doi: 10.1016/j.transproceed.2016.02.023.
9
Minimal Improvement in Glomerular Filtration Rate in the First Year After Liver Transplantation.肝移植后第一年肾小球滤过率改善甚微。
Transplantation. 2015 Sep;99(9):1855-61. doi: 10.1097/TP.0000000000000668.
10
Single-Center Long-Term Follow-Up of Kidney Donors in Argentina (Hospital Italiano de Buenos Aires).阿根廷(布宜诺斯艾利斯意大利医院)肾脏捐献者的单中心长期随访
Transplant Proc. 2018 Mar;50(2):418-422. doi: 10.1016/j.transproceed.2017.12.046.