Prediction of Short-Term Mortality With Renal Replacement Therapy in Patients With Cardiac Surgery-Associated Acute Kidney Injury

被引:8
|
作者
Han, Huiyong [1 ]
Wen, Ziang [1 ]
Wang, Jianbo [1 ]
Zhang, Peng [1 ]
Gong, Qian [1 ]
Ge, Shenglin [1 ]
Duan, Jingsi [1 ]
机构
[1] Anhui Med Univ, Dept Cardiovasc Surg, Affiliated Hosp 1, Hefei, Peoples R China
来源
关键词
cardiac surgery; critical care score; mortality prediction; acute kidney injury; renal replacement therapy; ACUTE PHYSIOLOGY; SCORING SYSTEMS; APACHE-III; FAILURE; DEFINITIONS; DYSFUNCTION; TRENDS; BYPASS;
D O I
10.3389/fcvm.2021.738947
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective: We aimed to: (1) explore the risk factors that affect the prognosis of cardiac surgery-associated acute kidney injury (CS-AKI) in patients undergoing renal replacement therapy (RRT) and (2) investigate the predictive value of the Acute Physiology and Chronic Health Evaluation (APACHE) III score, Sequential Organ Failure Assessment (SOFA) score, and Vasoactive-Inotropic Score (VIS) for mortality risk in patients undergoing RRT.Methods: Data from patients who underwent cardiac surgery from January 2015 through February 2021 were retrospectively reviewed to calculate the APACHE III score, SOFA score, and VIS on the first postoperative day and at the start of RRT. Various risk factors influencing the prognosis of the patients during treatment were evaluated; the area under the receiver operating characteristics curve (AUC(ROC)) was used to measure the predictive ability of the three scores. Independent risk factors influencing mortality were analyzed using multivariable binary logistic regression.Results: A total of 90 patients were included in the study, using 90-day survival as the end point. Of those patients, 36 patients survived, and 54 patients died; the mortality rate reached 60%. At the start of RRT, the AUC(ROC) of the APACHE III score was 0.866 (95% CI: 0.795-0.937), the VIS was 0.796 (95% CI: 0.700-0.892), and the SOFA score was 0.732 (95% CI: 0.623-0.842). The AUC(ROC)-value of the APACHE III score on the first postoperative day was 0.790 (95% CI: 0.694-0.885). After analyzing multiple factors, we obtained the final logistic regression model with five independent risk factors at the start of RRT: a high APACHE III score (OR: 1.228, 95% CI: 1.079-1.397), high VIS (OR: 1.147, 95% CI: 1.021-1.290), low mean arterial pressure (MAP) (OR: 1.170, 95% CI: 1.050-1.303), high lactate value (OR: 1.552, 95% CI: 1.032-2.333), and long time from AKI to initiation of RRT (OR: 1.014, 95% CI: 1.002-1.027).Conclusion: In this study, we showed that at the start of RRT, the APACHE III score and the VIS can accurately predict the risk of death in patients undergoing continuous RRT for CS-AKI. The APACHE III score on the first postoperative day allows early prediction of patient mortality risk. Predictors influencing patient mortality at the initiation of RRT were high APACHE III score, high VIS, low MAP, high lactate value, and long time from AKI to the start of RRT.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Hemodynamic Determinants of Cardiac Surgery-Associated Acute Kidney Injury
    Demirjian, Sevag
    Bakaeen, Faisal
    Tang, W. H. Wilson
    Donaldson, Chase
    Taliercio, Jon
    Huml, Anne
    Gadegbeku, Crystal A.
    Gillinov, A. Marc
    Insler, Steven
    CRITICAL CARE EXPLORATIONS, 2024, 6 (04) : E1063
  • [42] Plasma Metabolites-Based Prediction in Cardiac Surgery-Associated Acute Kidney Injury
    Cui, Hao
    Shu, Songren
    Li, Yuan
    Yan, Xin
    Chen, Xiao
    Chen, Zujun
    Hu, Yuxuan
    Chang, Yuan
    Hu, Zhenliang
    Wang, Xin
    Song, Jiangping
    JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2021, 10 (22):
  • [43] Cardiac surgery-Associated acute kidney injury - A narrative review
    Rasmussen, Sebastian Buhl
    Boyko, Yuliya
    Ranucci, Marco
    de Somer, Filip
    Ravn, Hanne Berg
    PERFUSION-UK, 2024, 39 (08): : 1516 - 1530
  • [44] Epidemiology and pathophysiology of cardiac surgery-associated acute kidney injury
    Fuhrman, Dana Y.
    Kellum, John A.
    CURRENT OPINION IN ANESTHESIOLOGY, 2017, 30 (01) : 60 - 65
  • [45] Improving Detection of Cardiac Surgery-Associated Acute Kidney Injury
    McCullough, Peter A.
    Mehta, Ankit
    Szerlip, Harold
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2014, 64 (25) : 2763 - 2764
  • [46] Mortality of patients with acute kidney injury requiring renal replacement therapy
    Czempik, Piotr
    Ciesla, Daniel
    Knapik, Piotr
    Krzych, Lukasz
    ADVANCES IN CLINICAL AND EXPERIMENTAL MEDICINE, 2018, 27 (03): : 327 - 333
  • [47] Cardiac surgery-associated acute kidney injury: risk factors analysis and comparison of prediction models
    Kristovic, Darko
    Horvatic, Ivica
    Husedzinovic, Ino
    Sutlic, Zeljko
    Rudez, Igor
    Baric, Davor
    Unic, Daniel
    Blazekovic, Robert
    Crnogorac, Matija
    INTERACTIVE CARDIOVASCULAR AND THORACIC SURGERY, 2015, 21 (03) : 366 - 373
  • [48] Impact of Early Renal Recovery on Survival After Cardiac Surgery-Associated Acute Kidney Injury
    Swaminathan, Madhav
    Hudson, Christopher C. C.
    Phillips-Bute, Barbara G.
    Patel, Uptal D.
    Mathew, Joseph P.
    Newman, Mark F.
    Milano, Carmelo A.
    Shaw, Andrew D.
    Stafford-Smith, Mark
    ANNALS OF THORACIC SURGERY, 2010, 89 (04): : 1098 - 1105
  • [49] Short-term prognosis and influencing factors of patients with acute kidney injury treated with prolonged intermittent renal replacement therapy
    Wei, Wenqian
    Rong, Shu
    Li, Xianchen
    Yang, Man
    Gu, Lijie
    Zhang, Zheng
    Chen, Lei
    Yuan, Weijie
    INTERNATIONAL JOURNAL OF CLINICAL PRACTICE, 2021, 75 (05)
  • [50] PREOPERATIVE AUTOMATED MACHINE LEARNING PREDICTION MODEL FOR CARDIAC SURGERY-ASSOCIATED ACUTE KIDNEY INJURY
    Thongprayoon, Charat
    Pattharanitima, Pattharawin
    Kattah, Andrea G.
    Mao, Michael A.
    Keddis, Mira T.
    Dillon, John J.
    Kaewput, Wisit
    Cheungpasitporn, Wisit
    AMERICAN JOURNAL OF KIDNEY DISEASES, 2022, 79 (04) : S69 - S69