Disentanglement of the acute kidney injury syndrome

被引:7
作者
Chawla, Lakhmir S. [1 ,2 ]
机构
[1] George Washington Univ, Med Ctr, Dept Anesthesiol & Crit Care Med, Washington, DC 20037 USA
[2] George Washington Univ, Med Ctr, Div Renal Dis & Hypertens, Dept Med, Washington, DC 20037 USA
关键词
acute kidney injury; classification; disentanglement; molecular diagnostics; urinary biomarkers; CRITICALLY-ILL PATIENTS; ACUTE-RENAL-FAILURE;
D O I
10.1097/MCC.0b013e328358e59c
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Purpose of review Acute kidney injury (AKI) is a clinical syndrome with many different causes. The Kidney Disease: Improving Global Outcomes consensus AKI definition has harmonized the study of AKI, yet effective clinical therapeutics are not available to treat most cases of AKI. In order to develop therapeutic interventions, an approach to AKI that subdivides the various causes of AKI into well codified subclasses of AKI may allow a process of 'disentanglement'. Recent findings Similar to the successful approach used in oncology, disentanglement refers to a process wherein various subtypes of a disease are inventoried (e.g., 10 subclasses of breast cancer). The various panels of sorted subtypes are then analyzed to determine whether there are similar pathophysiologic processes that are related to outcomes. Candidate therapeutics that mitigate these pathways are then tested in clinical trials in the corresponding subtypes to improve outcomes. Each successive step further clarifies which of the therapeutics is successful or not successful within each subclass of disease. Summary Disentangling the AKI syndrome requires an approach of rigorous taxonomy, molecular diagnostics, and intense collaboration. This approach may be applied to other complex and heterogeneous syndromes like sepsis and acute respiratory distress syndrome as well, but this article only outlines this approach to AKI.
引用
收藏
页码:579 / 584
页数:6
相关论文
共 11 条
[1]   The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups [J].
Curtis, Christina ;
Shah, Sohrab P. ;
Chin, Suet-Feung ;
Turashvili, Gulisa ;
Rueda, Oscar M. ;
Dunning, Mark J. ;
Speed, Doug ;
Lynch, Andy G. ;
Samarajiwa, Shamith ;
Yuan, Yinyin ;
Graef, Stefan ;
Ha, Gavin ;
Haffari, Gholamreza ;
Bashashati, Ali ;
Russell, Roslin ;
McKinney, Steven ;
Langerod, Anita ;
Green, Andrew ;
Provenzano, Elena ;
Wishart, Gordon ;
Pinder, Sarah ;
Watson, Peter ;
Markowetz, Florian ;
Murphy, Leigh ;
Ellis, Ian ;
Purushotham, Arnie ;
Borresen-Dale, Anne-Lise ;
Brenton, James D. ;
Tavare, Simon ;
Caldas, Carlos ;
Aparicio, Samuel .
NATURE, 2012, 486 (7403) :346-352
[2]   External Validation of Adjuvant! Online Breast Cancer Prognosis Tool. Prioritising Recommendations for Improvement [J].
Hajage, David ;
de Rycke, Yann ;
Bollet, Marc ;
Savignoni, Alexia ;
Caly, Martial ;
Pierga, Jean-Yves ;
Horlings, Hugo M. ;
Van de Vijver, Marc J. ;
Vincent-Salomon, Anne ;
Sigal-Zafrani, Brigitte ;
Senechal, Claire ;
Asselain, Bernard ;
Sastre, Xavier ;
Reyal, Fabien .
PLOS ONE, 2011, 6 (11)
[3]  
KDIGO, 2012, KDIGO CLIN PRACT GUI
[4]  
Lorenzen JM, 2012, CLIN J AM SOC NEPHRO
[5]   Circulating miR-210 Predicts Survival in Critically Ill Patients with Acute Kidney Injury [J].
Lorenzen, Johan M. ;
Kielstein, Jan T. ;
Hafer, Carsten ;
Gupta, Shashi K. ;
Kuempers, Philipp ;
Faulhaber-Walter, Robert ;
Haller, Hermann ;
Fliser, Danilo ;
Thum, Thomas .
CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2011, 6 (07) :1540-1546
[6]  
Maughan KL, 2010, AM FAM PHYSICIAN, V81, P1339
[7]   Nucleic acids within urinary exosomes/microvesicles are potential biomarkers for renal disease [J].
Miranda, Kevin C. ;
Bond, Daniel T. ;
McKee, Mary ;
Skog, Johan ;
Paunescu, Teodor G. ;
Da Silva, Nicolas ;
Brown, Dennis ;
Russo, Leileata M. .
KIDNEY INTERNATIONAL, 2010, 78 (02) :191-199
[8]   The Coalition Against Major Diseases: Developing Tools for an Integrated Drug Development Process for Alzheimer's and Parkinson's Diseases [J].
Romero, K. ;
de Mars, M. ;
Frank, D. ;
Anthony, M. ;
Neville, J. ;
Kirby, L. ;
Smith, K. ;
Woosley, R. L. .
CLINICAL PHARMACOLOGY & THERAPEUTICS, 2009, 86 (04) :365-367
[9]   Modern Classification of Acute Kidney Injury [J].
Srisawat, Nattachai ;
Hoste, Eric E. A. ;
Kellum, John A. .
BLOOD PURIFICATION, 2010, 29 (03) :300-307
[10]   A clinical score to predict acute renal failure after cardiac surgery [J].
Thakar, CV ;
Arrigain, S ;
Worley, S ;
Yared, JP ;
Paganini, EP .
JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2005, 16 (01) :162-168