The Journal of ExtraCorporeal Technology No 57-1 | Page 23

K . Gore et al .: J Extra Corpor Technol 2025 , 57 , 14 – 17 17
Bobby D . Nossaman , MD : Research design , Statistics , Data harvest , Editorial review of the manuscript .
Ethics approval IRB approval 2023.201-MCS .
References
1 . Jung C , Bruno RR , Jumean M , et al . Management of cardiogenic shock : state-of-the-art . Intensive Care Med . 2024 ; 50:1814 – 1829 . https :// doi . org / 10.1007 / s00134-024-07618-x .
2 . Barssoum K , Patel HP , Abdelmaseih R , et al . Characteristics and outcomes of early vs late initiation of mechanical circulatory support in non-acute myocardial infarction related cardiogenic shock : an analysis of the national inpatient sample database . Curr Probl Cardiol . 2023 ; 48 ( 5 ): 101584 . https :// doi . org / 10.1016 / j . cpcardiol . 2023.101584 .
3 . Versteilen AM , Di Maggio F , Leemreis JR , Groeneveld AB , Musters RJ , Sipkema P . Molecular mechanisms of acute renal failure following ischemia / reperfusion . Int J Artif Organs . 2004 ; 27 ( 12 ): 1019 – 1029 . https :// doi . org / 10.1177 / 03913988040 2701203 .
4 . Abadeer AI , Kurlansky P , Chiuzan C , et al . Importance of stratifying acute kidney injury in cardiogenic shock resuscitated with mechanical circulatory support therapy . J Thorac Cardiovasc Surg . 2017 ; 154 ( 3 ): 856 – 864 . e4 . https :// doi . org / 10.1016 / j . jtcvs . 2017.04.042 .
5 . Tam CW , Shen L , Zeidman AD , Srivastava A , Ivascu NS . Mechanical circulatory support : primer for consultant specialists . Clin J Am Soc Nephrol . 2022 ; 17 ( 6 ): 890 – 901 . https :// doi . org / 10.2215 / CJN . 13341021 .
6 . Kilburn DJ , Shekar K , Fraser JF . The complex relationship of extracorporeal membrane oxygenation and acute kidney injury : causation or association ? Biomed Res Int . 2016 ; 2016:1094296 . https :// doi . org / 10.1155 / 2016 / 1094296 .
7 . Austin D , McCanny P , Aneman A . Post-operative renal failure management in mechanical circulatory support patients . Ann Transl Med . 2020 ; 8 ( 13 ): 833 . https :// doi . org / 10.21037 / atm-20- 1172 .
8 . SAS . Predictive and specialized modeling . In : JMP Ò 17 Documentation Library . Cary , NC : JMP Statistical Discovery LLC ; 2023 ; 3551 – 4150 .
9 . Yin EB . Anticoagulation management in temporary mechanical circulatory support devices . Tex Heart Inst J . 2023 ; 50 ( 4 ): e231835 . https :// doi . org / 10.14503 / THIJ-23-8135 .
10 . Hirsh J , O ’ Donnell M , Eikelboom JW . Beyond unfractionated heparin and warfarin : current and future advances . Circulation . 2007 ; 116 ( 5 ): 552 – 560 . https :// doi . org / 10.1161 / CIRCULATIONAHA . 106 . 685974 .
11 . Kaur J , Arsene C , Yadav SK , et al . Risk factors in hospitalized patients for heparin-induced thrombocytopenia by real world database : a new role for primary hypercoagulable states . J Hematol . 2021 ; 10 ( 4 ): 171 – 177 . https :// doi . org / 10.14740 / jh876 .
12 . Casans-Tormo I , Alcala-Lopez JE , Espinet-Coll C , Pubul- Nunez V , Martinez-Rodriguez I . ( 18 ) F-FDG PET / CT in cardiovascular infection and inflammation . Rev Esp Med Nucl Imagen Mol ( Engl Ed ). 2021 ; 40 ( 6 ): 397 – 408 . https :// doi . org / 10.1016 / j . remnie . 2021.09.008 .
13 . Kanji R , Vandenbriele C , Arachchillage DRJ , Price S , Gorog DA . Optimal tests to minimise bleeding and ischaemic complications in patients on extracorporeal membrane oxygenation . Thromb Haemost . 2022 ; 122 ( 4 ): 480 – 491 . https :// doi . org / 10.1055 / a-1508-8230 .
14 . Beam AL , Kohane IS . Big data and machine learning in health care . JAMA . 2018 ; 319 ( 13 ): 1317 – 1318 . https :// doi . org / 10.1001 / jama . 2017.18391 .
Cite this article as : Gore K , Linder D , Duque JJM , Wang J , Wester B , Otero T , Yockelson S , Ruiz A & Nossaman BD . Limiting the gamble : Risk and predictability for renal replacement therapy in patients receiving mechanical circulatory support . J Extra Corpor Technol 2025 , 57 , 14 – 17 https :// doi . org / 10.1051 / ject / 2024041 .