Department of Internal Medicine II University Hospital Giessen and Marburg, Justus-Liebig-University Giessen Giessen Germany.
Division of Nephrology University of Virginia School of Medicine Charlottesville VA.
J Am Heart Assoc. 2023 Aug 15;12(16):e030145. doi: 10.1161/JAHA.123.030145. Epub 2023 Aug 14.
Background The impact of changes in Doppler-derived kidney venous flow in heart failure (HF) is not well studied. We aimed to investigate the association of Doppler-derived kidney venous stasis index (KVSI) and intrakidney venous-flow (IKVF) patterns with adverse cardiorenal outcomes in patients with HF. Methods and Results In this observational cohort study, consecutive inpatients with HF referred to a nephrologist because of a history of diuretic resistance and abnormal kidney function (n=216) underwent spectral kidney assessments after admission (Doppler 1) and 25 to 35 days later (Doppler 2) to identify IKVF patterns (continuous/pulsatile/biphasic/monophasic) and KVSI levels. Cox proportional hazard regression models were used to evaluate the associations between KVSI/IKVF patterns at Doppler 1 as well as changes from Doppler 1 to Doppler 2 and risk of cardiorenal events up to 18 months after admission. Worsening HF or death occurred in 126 patients. Both baseline KVSI (hazard ratio [HR], 1.49 [95% CI, 1.37-1.61] per 0.1-unit increase) and baseline IKVF pattern (HR, 2.47 [95% CI, 2.01-3.04] per 1 pattern severity increase) were significantly associated with worsening HF/death. Increases in both KVSI and IKVF pattern severity from Doppler 1 to 2 were also associated with an increased risk of worsening HF/death (HR, 3.00 [95% CI, 2.08-4.32] per 0.1-unit increase change; and HR, 6.73 [95% CI, 3.27-13.86] per 1 pattern increase in severity change, respectively). Similar results were observed for kidney outcomes. Conclusions Baseline kidney venous flow predicted adverse cardiorenal events, and inclusion of serial kidney venous flow in cardiorenal risk stratification could facilitate clinical decision-making for patients with HF. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT03039959.
多普勒衍生的肾静脉血流变化对心力衰竭(HF)的影响尚未得到充分研究。我们旨在研究多普勒衍生的肾静脉淤滞指数(KVSI)和肾内静脉血流(IKVF)模式与 HF 患者不良心肾结局的相关性。
在这项观察性队列研究中,连续因利尿剂抵抗和肾功能异常而转至肾病医生处的 HF 住院患者(n=216)在入院后(多普勒 1)和 25 至 35 天后(多普勒 2)进行了肾脏频谱评估,以确定 IKVF 模式(连续/脉冲/双相/单相)和 KVSI 水平。Cox 比例风险回归模型用于评估多普勒 1 时的 KVSI/IKVF 模式以及从多普勒 1 到多普勒 2 的变化与入院后 18 个月内心肾事件风险之间的关系。126 例患者发生恶化的 HF 或死亡。基线 KVSI(危险比[HR],每增加 0.1 单位增加 1.49[95%置信区间,1.37-1.61])和基线 IKVF 模式(HR,每增加 1 种模式严重程度增加 2.47[95%置信区间,2.01-3.04])均与恶化的 HF/死亡显著相关。从多普勒 1 到 2 的 KVSI 和 IKVF 模式严重程度的增加也与恶化的 HF/死亡风险增加相关(HR,每增加 0.1 单位变化 3.00[95%置信区间,2.08-4.32];和 HR,每增加 1 个模式严重程度变化 6.73[95%置信区间,3.27-13.86])。肾脏结局也观察到类似的结果。
基线肾静脉血流预测不良心肾事件,将连续肾静脉血流纳入心肾风险分层可有助于 HF 患者的临床决策。