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接受RAS抑制剂治疗的非透析依赖性慢性肾脏病患者出院后新诊断高钾血症的发生率及危险因素

Incidence of and risk factors for newly diagnosed hyperkalemia after hospital discharge in non-dialysis-dependent CKD patients treated with RAS inhibitors.

作者信息

Saito Yuki, Yamamoto Hiroyuki, Nakajima Hideki, Takahashi Osamu, Komatsu Yasuhiro

机构信息

Division of Nephrology, Department of Internal Medicine, St Luke's International Hospital, Tokyo, Japan.

Division of Internal Medicine, Keio University Hospital, Tokyo, Japan.

出版信息

PLoS One. 2017 Sep 6;12(9):e0184402. doi: 10.1371/journal.pone.0184402. eCollection 2017.

Abstract

INTRODUCTION

Renin-angiotensin system (RAS) inhibitors have been increasingly prescribed due to their beneficial effects on end-organ protection. Iatrogenic hyperkalemia is a well-known life-threatening complication of RAS inhibitor use in chronic kidney disease (CKD) patients. We hypothesized that CKD patients treated with RAS inhibitors frequently develop hyperkalemia after hospital discharge even if they were normokalemic during their hospitalization because their lifestyles change substantially after discharge. The present study aimed to examine the incidence of newly diagnosed hyperkalemia, the timing of hyperkalemia, and its risk factors in CKD patients treated with RAS inhibitors at the time of hospital discharge.

METHODS

We retrospectively enrolled patients aged 20 years or older with CKD G3-5 (estimated glomerular filtration rate < 60 mL/min/1.73 m2) and who were treated with RAS inhibitors and discharged from St. Luke's International Hospital between July 2011 and December 2015. Patients who were under maintenance dialysis or had hyperkalemic events before discharge were excluded. Data regarding the patients' age, sex, CKD stage, diabetes mellitus status, malignancy status, combined use of RAS inhibitors, concurrent medication, and hyperkalemic events after discharge were extracted from the hospital database. Our primary outcome was hyperkalemia, defined as serum potassium ≥ 5.5 mEq/L. Multiple logistic regression and Kaplan-Meier analyses were performed to identify the risk factors for and the timing of hyperkalemia, respectively.

RESULTS

Among the 986 patients, 121 (12.3%) developed hyperkalemia after discharge. In the regression analysis, relative to CKD G3a, G3b [odds ratio (OR): 1.88, 95% confidence interval 1.20-2.97] and G4-5 (OR: 3.40, 1.99-5.81) were significantly associated with hyperkalemia. The use of RAS inhibitor combinations (OR: 1.92, 1.19-3.10), malignancy status (OR: 2.10, 1.14-3.86), and baseline serum potassium (OR: 1.91, 1.23-2.97) were also significantly associated with hyperkalemia. The Kaplan-Meier analysis showed that hyperkalemia was most frequent during the early period after discharge, particularly within one month.

CONCLUSION

Hyperkalemia was frequent during the early period after discharge among previously normokalemic CKD patients who were treated with RAS inhibitors. Appropriate follow-up after discharge should be required for these patients, particularly those with advanced CKD or malignancy status, such as hematological malignancy or late-stage malignancy, and those who are treated with multiple RAS inhibitors.

摘要

引言

肾素 - 血管紧张素系统(RAS)抑制剂因其对靶器官保护的有益作用而被越来越多地使用。医源性高钾血症是慢性肾脏病(CKD)患者使用RAS抑制剂时一种众所周知的危及生命的并发症。我们推测,即使在住院期间血钾正常,接受RAS抑制剂治疗的CKD患者出院后也经常会发生高钾血症,因为他们出院后的生活方式发生了很大变化。本研究旨在探讨出院时接受RAS抑制剂治疗的CKD患者中新诊断高钾血症的发生率、高钾血症发生的时间及其危险因素。

方法

我们回顾性纳入了2011年7月至2015年12月期间在圣路加国际医院接受RAS抑制剂治疗并出院的年龄≥20岁的CKD G3 - 5期(估计肾小球滤过率<60 mL/min/1.73 m²)患者。排除正在接受维持性透析或出院前有高钾血症事件的患者。从医院数据库中提取患者的年龄、性别、CKD分期、糖尿病状态、恶性肿瘤状态、RAS抑制剂的联合使用情况、同时使用的药物以及出院后的高钾血症事件等数据。我们的主要结局是高钾血症,定义为血清钾≥5.5 mEq/L。分别进行多因素逻辑回归和Kaplan - Meier分析以确定高钾血症的危险因素和发生时间。

结果

在986例患者中,121例(12.3%)出院后发生高钾血症。在回归分析中,相对于CKD G3a期,G3b期[比值比(OR):1.88,95%置信区间1.20 - 2.97]和G4 - 5期(OR:3.40,1.99 - 5.81)与高钾血症显著相关。联合使用RAS抑制剂(OR:1.92,1.19 - 3.10)、恶性肿瘤状态(OR:2.10,1.14 - 3.86)和基线血清钾(OR:1.91,1.23 - 2.97)也与高钾血症显著相关。Kaplan - Meier分析显示,高钾血症在出院后的早期最为常见,尤其是在一个月内。

结论

在出院后的早期,先前血钾正常的接受RAS抑制剂治疗的CKD患者中高钾血症很常见。这些患者出院后应进行适当的随访,特别是那些患有晚期CKD或恶性肿瘤状态(如血液系统恶性肿瘤或晚期恶性肿瘤)以及接受多种RAS抑制剂治疗的患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9337/5587314/9a756bdc57d8/pone.0184402.g001.jpg

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