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本文引用的文献

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Rate of kidney function decline associates with mortality.肾功能下降的速度与死亡率相关。
J Am Soc Nephrol. 2010 Nov;21(11):1961-9. doi: 10.1681/ASN.2009121210. Epub 2010 Oct 14.
2
Rate of kidney function decline associates with increased risk of death.肾功能下降速度与死亡风险增加相关。
J Am Soc Nephrol. 2010 Nov;21(11):1814-6. doi: 10.1681/ASN.2010090954. Epub 2010 Oct 14.
3
Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis.估算肾小球滤过率和白蛋白尿与普通人群全因和心血管死亡率的关系:荟萃分析协作研究。
Lancet. 2010 Jun 12;375(9731):2073-81. doi: 10.1016/S0140-6736(10)60674-5. Epub 2010 May 17.
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Prediction modeling using EHR data: challenges, strategies, and a comparison of machine learning approaches.使用电子健康记录数据进行预测建模:挑战、策略和机器学习方法比较。
Med Care. 2010 Jun;48(6 Suppl):S106-13. doi: 10.1097/MLR.0b013e3181de9e17.
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Acute kidney injury associates with increased long-term mortality.急性肾损伤与长期死亡率升高相关。
J Am Soc Nephrol. 2010 Feb;21(2):345-52. doi: 10.1681/ASN.2009060636. Epub 2009 Dec 17.
6
Rapid decline of kidney function increases cardiovascular risk in the elderly.肾功能快速衰退会增加老年人的心血管疾病风险。
J Am Soc Nephrol. 2009 Dec;20(12):2625-30. doi: 10.1681/ASN.2009050546. Epub 2009 Nov 5.
7
Change in estimated GFR associates with coronary heart disease and mortality.估算的肾小球滤过率变化与冠心病及死亡率相关。
J Am Soc Nephrol. 2009 Dec;20(12):2617-24. doi: 10.1681/ASN.2009010025. Epub 2009 Nov 5.
8
Outcome predictability of biomarkers of protein-energy wasting and inflammation in moderate and advanced chronic kidney disease.中晚期慢性肾脏病患者蛋白质能量消耗和炎症生物标志物的预后可预测性
Am J Clin Nutr. 2009 Aug;90(2):407-14. doi: 10.3945/ajcn.2008.27390. Epub 2009 Jun 17.
9
A new equation to estimate glomerular filtration rate.一种估算肾小球滤过率的新公式。
Ann Intern Med. 2009 May 5;150(9):604-12. doi: 10.7326/0003-4819-150-9-200905050-00006.
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Rapid kidney function decline and mortality risk in older adults.老年人肾功能快速衰退与死亡风险
Arch Intern Med. 2008 Nov 10;168(20):2212-8. doi: 10.1001/archinte.168.20.2212.

慢性肾脏病患者的肾小球滤过率下降与死亡风险。

GFR decline and mortality risk among patients with chronic kidney disease.

机构信息

Henry Hood Center for Health Research, MC-44-00, 100 North Academy Avenue, Danville, PA 17822, USA.

出版信息

Clin J Am Soc Nephrol. 2011 Aug;6(8):1879-86. doi: 10.2215/CJN.00470111. Epub 2011 Jun 16.

DOI:10.2215/CJN.00470111
PMID:21685022
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3359538/
Abstract

BACKGROUND AND OBJECTIVES

Estimates of the effect of estimated GFR (eGFR) decline on mortality have focused on populations with normal kidney function, or have included limited information on factors previously shown to influence the risk of death among patients with CKD.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We retrospectively assessed the effect of rate of eGFR decline on survival of patients with CKD receiving primary care through a large integrated health care system in central Pennsylvania between January 1, 2004, and December 31, 2009.

RESULTS

A total of 15,465 patients were followed for a median of 3.4 years. Median rates of eGFR change by those in the lower, middle, and upper tertiles of eGFR slope were -4.8, -0.6, and 3.5 ml/min per 1.73 m(2)/yr, respectively. In Cox proportional hazard modeling for time to death, adjusted for baseline proteinuria, changes in nutritional parameters, and episodes of acute kidney injury during follow-up (among other covariates), the hazard ratio for those in the lower (declining) and upper (increasing) eGFR tertiles (relative to the middle, or stable, tertile) was 1.84 and 1.42, respectively. Longitudinal changes in nutritional status as well as episodes of acute kidney injury attenuated the risk only modestly. These findings were consistent across subgroups.

CONCLUSIONS

eGFR change over time adds prognostic information to traditional mortality risk predictors among patients with CKD. The utility of incorporating eGFR trends into patient-risk assessment should be further investigated.

摘要

背景和目的

估计肾小球滤过率(eGFR)下降对死亡率的影响,主要集中在肾功能正常的人群,或仅包括先前已显示会影响 CKD 患者死亡风险的有限信息。

设计、设置、参与者和测量:我们通过宾夕法尼亚州中部的一个大型综合医疗保健系统,对 2004 年 1 月 1 日至 2009 年 12 月 31 日期间接受初级保健的 CKD 患者的 eGFR 下降速度对生存率的影响进行了回顾性评估。

结果

共 15465 例患者接受了中位数为 3.4 年的随访。eGFR 斜率较低、中、高三分位组的 eGFR 变化中位数分别为-4.8、-0.6 和 3.5 ml/min/1.73m(2)/yr。在 Cox 比例风险模型中,对死亡时间进行了调整,以适应基线蛋白尿、营养参数变化和随访期间急性肾损伤发作(除其他协变量外),eGFR 较低(下降)和较高(升高)三分位组的危险比(相对于中间或稳定三分位组)分别为 1.84 和 1.42。营养状况的纵向变化和急性肾损伤发作仅适度减弱了风险。这些发现在各亚组中均一致。

结论

随着时间的推移,eGFR 的变化为 CKD 患者的传统死亡率风险预测指标增加了预后信息。将 eGFR 趋势纳入患者风险评估中的效用应进一步研究。