STANDARD EQUATIONS THAT ESTIMATE GFR DO NOT ACCURATELY PREDICT CREATININE CLEARANCE IN CRITICALLY ILL PATIENTS WITH ACUTE KIDNEY INJURY

被引：0
|
作者：
Kirwan, C. J. [1 ]
MacPhee, I. A. [1 ]
Philips, B. J. [1 ]
机构：
[1] St Georges Univ London, London, England
来源：
INTENSIVE CARE MEDICINE | 2010年 / 36卷
关键词：
D O I：
暂无
中图分类号：
R4 [临床医学];
学科分类号：
1002 ; 100602 ;
摘要：
1256
引用
收藏
页码：S401 / S401
页数：1
相关论文
共 50 条
  • [31] Serum lactate level accurately predicts mortality in critically ill patients with cirrhosis with acute kidney injury
    Sun, Dan-Qin
    Zheng, Chen-Fei
    Lu, Feng-Bin
    Van Poucke, Sven
    Chen, Xiao-Ming
    Chen, Yong-Ping
    Zhang, Lai
    Zheng, Ming-Hua
    EUROPEAN JOURNAL OF GASTROENTEROLOGY & HEPATOLOGY, 2018, 30 (11) : 1361 - 1367
  • [32] Model to Predict Mortality in Critically Ill Adults with Acute Kidney Injury
    Demirjian, Sevag
    Chertow, Glenn M.
    Zhang, Jane Hongyuan
    O'Connor, Theresa Z.
    Vitale, Joseph
    Paganini, Emil P.
    Palevsky, Paul M.
    CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2011, 6 (09): : 2114 - 2120
  • [33] THE RIFLE CLASSIFICATION FOR ACUTE KIDNEY INJURY: USING CALCULATED BASAL VALUE OF CREATININE OVERESTIMATES THE INCIDENCE OF ACUTE KIDNEY INJURY IN CRITICALLY ILL PATIENTS
    Sigurdsson, G. H.
    Vesteinsdottir, I. O.
    Indridason, O. S.
    Sigvaldason, K.
    INTENSIVE CARE MEDICINE, 2010, 36 : S404 - S404
  • [34] Machine learning derived serum creatinine trajectories in acute kidney injury in critically ill patients with sepsis
    Takkavatakarn, Kullaya
    Oh, Wonsuk
    Chan, Lili
    Hofer, Ira
    Shawwa, Khaled
    Kraft, Monica
    Shah, Neomi
    Kohli-Seth, Roopa
    Nadkarni, Girish N.
    Sakhuja, Ankit
    CRITICAL CARE, 2024, 28 (01)
  • [35] Kidney injury molecule-1/creatinine as a urinary biomarker of acute kidney injury in critically ill neonates
    ElSadek, Akram E.
    Gafar, Elham Abd El
    Behiry, Eman G.
    Nazem, Siham A.
    Haie, Omima M. Abdel
    JOURNAL OF PEDIATRIC UROLOGY, 2020, 16 (05) : 688.e1 - 688.e9
  • [36] Hsp72 Is a Novel Biomarker to Predict Acute Kidney Injury in Critically Ill Patients
    Morales-Buenrostro, Luis E.
    Salas-Nolasco, Omar I.
    Barrera-Chimal, Jonatan
    Casas-Aparicio, Gustavo
    Irizar-Santana, Sergio
    Perez-Villalva, Rosalba
    Bobadilla, Norma A.
    PLOS ONE, 2014, 9 (10):
  • [37] Biomarkers to Predict Multiorgan Distress Syndrome and Acute Kidney Injury in Critically Ill Surgical Patients
    Shin, In Sik
    Kim, Da Kyung
    An, Sanghyun
    Gong, Sung Chan
    Kim, Moo Hyun
    Rahman, Md Habibur
    Kim, Cheol-Su
    Sohn, Joon Hyeong
    Kim, Kwangmin
    Ryu, Hoon
    MEDICINA-LITHUANIA, 2023, 59 (12):
  • [38] Derivation and validation of a risk score to predict acute kidney injury in critically ill cirrhotic patients
    Zheng, Luyan
    Lin, Yushi
    Fang, Kailu
    Wu, Jie
    Zheng, Min
    HEPATOLOGY RESEARCH, 2023, 53 (08) : 701 - 712
  • [39] Fluid balance-adjusted creatinine in diagnosing acute kidney injury in the critically ill
    Tornblom, Sanna
    Wiersema, Renske
    Prowle, John R.
    Haapio, Mikko
    Pettila, Ville
    Vaara, Suvi T.
    ACTA ANAESTHESIOLOGICA SCANDINAVICA, 2021, 65 (08) : 1079 - 1086
  • [40] A FEASIBLE FORMULA TO ESTIMATE GLOMERULAR FILTRATION RATE DURING ACUTE KIDNEY INJURY IN CRITICALLY ILL PATIENTS
    Soto, Karina
    Fidalgo, Pedro
    Papoila, Ana Luisa
    NEPHROLOGY DIALYSIS TRANSPLANTATION, 2013, 28 : 333 - 333
12345