These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

866 related items for PubMed ID: 32660294

  • 1. SOFA score is superior to APACHE-II score in predicting the prognosis of critically ill patients with acute kidney injury undergoing continuous renal replacement therapy.
    Wang H, Kang X, Shi Y, Bai ZH, Lv JH, Sun JL, Pei HH.
    Ren Fail; 2020 Nov; 42(1):638-645. PubMed ID: 32660294
    [Abstract] [Full Text] [Related]

  • 2. Development of a new mortality scoring system for acute kidney injury with continuous renal replacement therapy.
    Kim Y, Park N, Kim J, Kim DK, Chin HJ, Na KY, Joo KW, Kim YS, Kim S, Han SS.
    Nephrology (Carlton); 2019 Dec; 24(12):1233-1240. PubMed ID: 31487094
    [Abstract] [Full Text] [Related]

  • 3. [Effect of early initiation of continuous renal replacement therapy based on the KDIGO classification on the prognosis of critically ill patients with acute kidney injury].
    Chen M, Hu B, Li Q, Liu J.
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2016 Mar; 28(3):246-51. PubMed ID: 29917340
    [Abstract] [Full Text] [Related]

  • 4. Assessment of severity scoring systems for predicting mortality in critically ill patients receiving continuous renal replacement therapy.
    Park H, Yang J, Chun BC.
    PLoS One; 2023 Mar; 18(5):e0286246. PubMed ID: 37228073
    [Abstract] [Full Text] [Related]

  • 5. [Risk factors for mortality in intensive care unit patients with sepsis combined with acute kidney injury after continuous renal replacement therapy: secondary analysis of the data from a multicenter observational study].
    Zhang Q, Fei Y, Jiang L.
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2019 Feb; 31(2):155-159. PubMed ID: 30827301
    [Abstract] [Full Text] [Related]

  • 6. Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy.
    Kang MW, Kim J, Kim DK, Oh KH, Joo KW, Kim YS, Han SS.
    Crit Care; 2020 Feb 06; 24(1):42. PubMed ID: 32028984
    [Abstract] [Full Text] [Related]

  • 7. Severe acute kidney injury following cardiac surgery: short-term outcomes in patients undergoing continuous renal replacement therapy (CRRT).
    Pistolesi V, Di Napoli A, Fiaccadori E, Zeppilli L, Polistena F, Sacco MI, Regolisti G, Tritapepe L, Pierucci A, Morabito S.
    J Nephrol; 2016 Apr 06; 29(2):229-239. PubMed ID: 26022723
    [Abstract] [Full Text] [Related]

  • 8. [A multicenter clinical study of critically ill patients with sepsis complicated with acute kidney injury in Beijing: incidence, clinical characteristics and outcomes].
    Gao N, Wang M, Jiang L, Zhu B, Xi X.
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Jun 06; 36(6):567-573. PubMed ID: 38991953
    [Abstract] [Full Text] [Related]

  • 9. Acute kidney injury enhances outcome prediction ability of sequential organ failure assessment score in critically ill patients.
    Chang CH, Fan PC, Chang MY, Tian YC, Hung CC, Fang JT, Yang CW, Chen YC.
    PLoS One; 2014 Jun 06; 9(10):e109649. PubMed ID: 25279844
    [Abstract] [Full Text] [Related]

  • 10. Continuous renal replacement therapy with the addition of CytoSorb cartridge in critically ill patients with COVID-19 plus acute kidney injury: A case-series.
    Alharthy A, Faqihi F, Memish ZA, Balhamar A, Nasim N, Shahzad A, Tamim H, Alqahtani SA, Brindley PG, Karakitsos D.
    Artif Organs; 2021 May 06; 45(5):E101-E112. PubMed ID: 33190288
    [Abstract] [Full Text] [Related]

  • 11. Combination of Mean Platelet Volume/Platelet Count Ratio and the APACHE II Score Better Predicts the Short-Term Outcome in Patients with Acute Kidney Injury Receiving Continuous Renal Replacement Therapy.
    Li J, Li Y, Sheng X, Wang F, Cheng D, Jian G, Li Y, Feng L, Wang N.
    Kidney Blood Press Res; 2018 May 06; 43(2):479-489. PubMed ID: 29627837
    [Abstract] [Full Text] [Related]

  • 12. Investigate predictive capacity of in-hospital mortality of four severity score systems on critically ill patients with acute kidney injury.
    Gong Y, Ding F, Zhang F, Gu Y.
    J Investig Med; 2019 Dec 06; 67(8):1103-1109. PubMed ID: 31575668
    [Abstract] [Full Text] [Related]

  • 13. Continuous renal replacement therapy in critically ill patients with acute on chronic liver failure and acute kidney injury: A retrospective cohort study
.
    Saraiva IE, Ortiz-Soriano VM, Mei X, Gianella FG, Woc WS, Zamudio R, Kelly A, Gupta M, Grigorian AY, Neyra JA.
    Clin Nephrol; 2020 Apr 06; 93(4):187-194. PubMed ID: 32101519
    [Abstract] [Full Text] [Related]

  • 14. Timing for initiation of continuous renal replacement therapy in patients with septic shock and acute kidney injury.
    Shum HP, Chan KC, Kwan MC, Yeung AW, Cheung EW, Yan WW.
    Ther Apher Dial; 2013 Jun 06; 17(3):305-10. PubMed ID: 23735146
    [Abstract] [Full Text] [Related]

  • 15. Prognostic Impact of Early Versus Late Initiation of Renal Replacement Therapy Based on Early Warning Algorithm in Critical Care Patients With Acute Kidney Injury.
    Tekdöş Şeker Y, Çukurova Z, Özel Bilgi D, Hergünsel O.
    Ther Apher Dial; 2020 Aug 06; 24(4):445-452. PubMed ID: 31661596
    [Abstract] [Full Text] [Related]

  • 16. The predictive value of the Oxford Acute Severity of Illness Score for clinical outcomes in patients with acute kidney injury.
    Wang N, Wang M, Jiang L, Du B, Zhu B, Xi X.
    Ren Fail; 2022 Dec 06; 44(1):320-328. PubMed ID: 35168501
    [Abstract] [Full Text] [Related]

  • 17. Higher body mass index is not a protective risk factor for 28-days mortality in critically ill patients with acute kidney injury undergoing continuous renal replacement therapy.
    Wang H, Shi Y, Bai ZH, Lv JH, Sun JL, Pei HH, Zhang ZL.
    Ren Fail; 2019 Nov 06; 41(1):726-732. PubMed ID: 31424314
    [Abstract] [Full Text] [Related]

  • 18. Mortality prediction in patients with acute kidney injury requiring renal replacement therapy after cardiac surgery.
    Skarupskienė I, Adukauskienė D, Kuzminskienė J, Rimkutė L, Balčiuvienė V, Žiginskienė E, Kuzminskis V, Adukauskaitė A, Pentiokinienė D, Bumblytė IA.
    Medicina (Kaunas); 2017 Nov 06; 53(4):217-223. PubMed ID: 28743566
    [Abstract] [Full Text] [Related]

  • 19. The Comparison of scoring systems: SOFA, APACHE-II, LODS, MODS, and SAPS-II in critically ill elderly sepsis patients.
    Tekin B, Kiliç J, Taşkin G, Solmaz İ, Tezel O, Başgöz BB.
    J Infect Dev Ctries; 2024 Jan 31; 18(1):122-130. PubMed ID: 38377099
    [Abstract] [Full Text] [Related]

  • 20. [Comparison of four early warning scores in predicting the prognosis of critically ill patients in secondary hospitals].
    Su X, Zhang H, Yuan W, Yi M, Fu C, Jiang J, Gao H.
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Oct 31; 35(10):1093-1098. PubMed ID: 37873716
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 44.