CCL14 Predicts Oliguria and Dialysis Requirement in Patients with Moderate to Severe Acute Kidney Injury.

S. Demirjian, Lakhmir Chawla, Danielle L Davison, L. Forni, Michael Heung, Eric A. Hoste, J. Koyner, J. P. Kampf, Thomas Kwan, Paul Mcpherson, John A Kellum
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Abstract

INTRUDUCTION AKI is a frequent complication in critical illness and portends poor outcome. CCL14 has been validated to predict persistent severe AKI in critically ill patients. We examined the association of CCL14 with urine output within 48 hours. METHODS In pooled data from 2 studies of critically ill patients with KDIGO stage 2-3 AKI, CCL14 was measured by NEPHROCLEAR™CCL14 Test on the Astute 140® Meter, and divided to low, intermediate and high categories (1.3 and 13 ng/mL). Average hourly urine output over 48 hours, stage 3 AKI per urine output criterion on day 2, and composite of dialysis or death within 7 days were examined using multivariable mixed, and logistic regression models. RESULTS Of the 497 subjects with median age of 65 [56-74] years, 49% (242/497) were on diuretics. CCL14 concentration was low in 219 (44%), intermediate in 217 (44%), and high in 61 (12%) patients. In mixed regression analysis, urine output trajectory over time was different within each CCL14 risk category based on diuretic use due to significant three-way interaction (p < 0.001). In logistic regression analysis CCL14 risk category was independently associated with low urine output on day 2 (KDIGO stage 3) adjusted for diuretic use and baseline clinical variables and composite of dialysis or death within 7 days (adjusted for urine output within 48 hours of CCL14 measurement). CONCLUSIONS CCL14 measured in patients with moderate to severe AKI is associated with urine output trajectory within 48 hours, oliguria on day 2, and dialysis within 7 days.
CCL14可预测中度至重度急性肾损伤患者的少尿和透析需求。
诱导性急性肾功能衰竭是危重病人的常见并发症,预示着不良预后。CCL14 已被证实可预测危重病人的持续性严重 AKI。我们研究了 CCL14 与 48 小时内尿量的关系。方法在对 KDIGO 2-3 期 AKI 重症患者进行的两项研究的汇总数据中,通过 Astute 140® 仪器上的 NEPHROCLEAR™CCL14 测试测量了 CCL14,并将其分为低、中、高三个等级(1.3 和 13 纳克/毫升)。使用多变量混合模型和逻辑回归模型对 48 小时内平均每小时尿量、第 2 天按尿量标准计算的 3 期 AKI 以及 7 天内透析或死亡的复合情况进行了研究。结果 在中位年龄为 65 [56-74] 岁的 497 名受试者中,49%(242/497)的人服用了利尿剂。219名患者(44%)的CCL14浓度较低,217名患者(44%)的CCL14浓度处于中等水平,61名患者(12%)的CCL14浓度较高。在混合回归分析中,由于显著的三方交互作用(p < 0.001),基于利尿剂使用情况的每个 CCL14 风险类别的尿量随时间变化的轨迹都不同。在逻辑回归分析中,经利尿剂使用和基线临床变量调整后,CCL14 风险类别与第 2 天低尿量(KDIGO 3 期)以及 7 天内透析或死亡的复合情况(经 CCL14 测量后 48 小时内的尿量调整)独立相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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