Prognostic Implications of a Cumulative Renal Score Based on Both Serum Creatinine and Urine Output Criteria for Staging of Acute Kidney Injury: A Cohort Study

被引:0
|
作者
Ji, Yun [1 ]
Li, Libin [1 ]
机构
[1] Zhejiang Univ, Affiliated Hosp 2, Sch Med, Dept Surg Intens Care Unit, Hangzhou 310009, Zhejiang, Peoples R China
关键词
acute kidney injury; critical care; critically ill patients; Kidney Disease; Improving Global Outcomes; mortality; EPIDEMIOLOGY; AKI;
D O I
10.2147/IJGM.S330002
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Purpose: Traditionally, the Kidney Disease: Improving Global Outcomes (KDIGO) stages acute kidney injury (AKI) into three stages based on the highest severity of increase in serum creatinine (SC) or urine output (UO) criteria. Clinically, however, the two criteria do not provide equivalent information. Thus, we aimed to develop a cumulative renal score (the sum of the highest KDIGO SC and UO severity stages) for staging of AKI, expanding the original three KDIGO stages to six stages. We hypothesized that the cumulative renal score would more accurately describe AKI severity and outcomes. Patients and Methods: Critically ill adult patients were identified from the Multi-parameter Intelligent Monitoring in Intensive Care III Database. The primary outcome was hospital mortality. Logistic regression was used to explore the association between cumulative renal score and hospital mortality. Results: A total of 17,404 critically ill adult patients were enrolled. Patients with higher cumulative renal scores had greater hospital mortality than patients with lower cumulative renal scores (score 0, 7.6%; score 1, 9.3%; score 2, 12.5%; score 3, 18.9%; score 4, 27.1%; score 5, 34.7%; score 6, 46.8%, p < 0.001). After adjustment for significant covariates, relative to cumulative renal score 0, cumulative renal scores 2-6 were associated with increased hospital mortality. Within the traditional KDIGO stage 2 AKI, when compared with cumulative renal score 2, cumulative renal score 4 had increased hospital mortality. Within the traditional KDIGO stage 3 AKI, when compared with cumulative renal score 3, cumulative renal score 6 had increased hospital mortality. Conclusion: Our study demonstrates that the KDIGO SC and UO criteria have a cumulative effect on AKI severity staging. The cumulative renal score improves the traditional KDIGO AKI staging by applying the two sets of criteria sequentially and provides more insight into the relationship between AKI and outcomes.
引用
收藏
页码:7833 / 7841
页数:9
相关论文
共 50 条
  • [41] Impact of Cumulative Fluid Balance During Continuous Renal Replacement Therapy on Mortality in Patients With Septic Acute Kidney Injury: A Retrospective Cohort Study
    Lin, Jin
    Zhuang, Hai Zhou
    Zhi, De Yuan
    Qi, Zhili
    Bai, Jing
    Dong, Lei
    Liu, Shuai
    Duan, Meili
    FRONTIERS IN MEDICINE, 2021, 8
  • [42] Algorithm-based detection of acute kidney injury according to full KDIGO criteria including urine output following cardiac surgery: a descriptive analysis
    Schmid, Nico
    Ghinescu, Mihnea
    Schanz, Moritz
    Christ, Micha
    Schricker, Severin
    Ketteler, Markus
    Alscher, Mark Dominik
    Franke, Ulrich
    Goebel, Nora
    BIODATA MINING, 2023, 16 (01)
  • [43] Algorithm-based detection of acute kidney injury according to full KDIGO criteria including urine output following cardiac surgery: a descriptive analysis
    Nico Schmid
    Mihnea Ghinescu
    Moritz Schanz
    Micha Christ
    Severin Schricker
    Markus Ketteler
    Mark Dominik Alscher
    Ulrich Franke
    Nora Goebel
    BioData Mining, 16
  • [44] Diagnostic performance of plasma and urine neutrophil gelatinase-associated lipocalin, cystatin C, and creatinine for acute kidney injury in burn patients: A prospective cohort study
    Kim, Youngmin
    Cho, Yong Suk
    Kym, Dohern
    Yoon, Jaechul
    Yim, Haejun
    Hur, Jun
    Chun, Wook
    PLOS ONE, 2018, 13 (06):
  • [45] Use of Both Serum Cystatin C and Creatinine as Diagnostic Criteria for Cardiac Surgery-Associated Acute Kidney Injury and Its Correlation with Long-Term Major Adverse Events
    Che, Miaolin
    Wang, Xudong
    Xie, Bo
    Huang, Ritai
    Liu, Shang
    Yan, Yucheng
    Zhu, Mingli
    Lu, Renhua
    Qian, Jiaqi
    Zhang, Weiming
    Gu, Leyi
    Mou, Shan
    Ni, Zhaohui
    Xue, Song
    KIDNEY & BLOOD PRESSURE RESEARCH, 2019, 44 (03): : 415 - 425
  • [46] Cumulative fluid balance and mortality in elderly patients with acute kidney injury requiring continuous renal-replacement therapy: a multicenter prospective cohort study
    Jhee, Jong Hyun
    Park, Jae Yoon
    An, Jung Nam
    Kim, Dong Ki
    Joo, Kwon Wook
    Oh, Yun Kyu
    Lim, Chun Soo
    Kim, Yon Su
    Han, Seung Hyeok
    Yoo, Tae-Hyun
    Kang, Shin-Wook
    Lee, Jung Pyo
    Park, Jung Tak
    KIDNEY RESEARCH AND CLINICAL PRACTICE, 2020, 39 (04) : 414 - 425
  • [47] The discrepancy between serum creatinine and cystatin C can predict renal function after treatment for postrenal acute kidney injury: multicenter study and pooled data analysis
    Matsuki, Masahiro
    Tanaka, Toshiaki
    Maehana, Takeshi
    Kyoda, Yuki
    Ichihara, Koji
    Hashimoto, Kohei
    Yanase, Masahiro
    Matsukawa, Masanori
    Adachi, Hideki
    Takahashi, Satoshi
    Masumori, Naoya
    CLINICAL AND EXPERIMENTAL NEPHROLOGY, 2017, 21 (05) : 852 - 857
  • [48] The discrepancy between serum creatinine and cystatin C can predict renal function after treatment for postrenal acute kidney injury: multicenter study and pooled data analysis
    Masahiro Matsuki
    Toshiaki Tanaka
    Takeshi Maehana
    Yuki Kyoda
    Koji Ichihara
    Kohei Hashimoto
    Masahiro Yanase
    Masanori Matsukawa
    Hideki Adachi
    Satoshi Takahashi
    Naoya Masumori
    Clinical and Experimental Nephrology, 2017, 21 : 852 - 857
  • [49] Subcutaneous adipose tissue is associated with acute kidney injury after abdominal trauma based on the generalized propensity score approach: A retrospective cohort study
    Xi, Fengchan
    Li, Jiang
    He, Yuanchen
    Sun, Chuanrui
    Wang, Xiling
    Yu, Wenkui
    OBESITY FACTS, 2023, 16 (03) : 255 - 263
  • [50] Prognostic model to predict postoperative acute kidney injury in patients undergoing major gastrointestinal surgery based on a national prospective observational cohort study
    Nepogodiev, D.
    Walker, K.
    Glasbey, J. C.
    Drake, T. M.
    Borakati, A.
    Kamarajah, S.
    McLean, K.
    Khatri, C.
    Arulkumaran, N.
    Harrison, E. M.
    Fitzgerald, J. E.
    Cromwell, D.
    Prowle, J.
    Bhangu, A.
    Bath, M. F.
    Claireaux, H. A.
    Gundogan, B.
    Mohan, M.
    Deekonda, P.
    Kong, C.
    Joyce, H.
    Mcnamee, L.
    Woin, E.
    Burke, J.
    Bell, S.
    Duthie, F.
    Hughes, J.
    Pinkney, T. D.
    Richards, T.
    Thomas, M.
    Dynes, K.
    Patel, P.
    Wigley, C.
    Suresh, R.
    Shaw, A.
    Klimach, S.
    Jull, P.
    Evans, D.
    Preece, R.
    Ibrahim, I.
    Manikavasagar, V
    Brown, F. S.
    Teo, R.
    Sim, D. P. Y.
    Logan, A. E.
    Barai, I
    Amin, H.
    Suresh, S.
    Sethi, R.
    Bolton, W.
    BJS OPEN, 2018, 2 (06): : 400 - 410