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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

299 related articles for article (PubMed ID: 39238403)

  • 1. [Construction and validation of a risk nomogram for sepsis-associated acute kidney injury in intensive care unit].
    Zhang J; Qi M; Ma L; Zhang K; Liu D; Liu D
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Aug; 36(8):801-807. PubMed ID: 39238403
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Analysis of 28 day-mortality risk factors in sepsis patients and construction and validation of predictive model].
    Shao H; Wang Y; Zhang H; Zhou Y; Zhang J; Yao H; Liu D; Liu D
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 May; 36(5):478-484. PubMed ID: 38845493
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Construction of a predictive model of death for sepsis-associated acute kidney injury].
    Li X; Zhu C; Lan C; Liu Q
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Apr; 36(4):381-386. PubMed ID: 38813632
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Construction of anomogram for predicting the prognosis of patients with sepsis-associated acute kidney injury].
    Zhao L; Liu Y; Chen M; Chen L; Zhou S; Bai X; Zhang J
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Dec; 35(12):1255-1261. PubMed ID: 38149386
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Construction and validation of a predictive model for early occurrence of lower extremity deep venous thrombosis in ICU patients with sepsis].
    Qi Z; Ding D; Wu C; Han X; Li Z; Zhang Y; Hu Q; Hao C; Yang F
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 May; 36(5):471-477. PubMed ID: 38845492
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Development and validation of a nomogram for predicting 3-month mortality risk in patients with sepsis-associated acute kidney injury].
    Yue X; Li Z; Wang L; Huang L; Zhao Z; Wang P; Wang S; Gong X; Zhang S; Wang Z
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 May; 36(5):465-470. PubMed ID: 38845491
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Development and validation of a prognostic model for patients with sepsis in intensive care unit].
    Jiang Z; Wang H; Wang S; Guan C; Qu Y
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Aug; 35(8):800-806. PubMed ID: 37593856
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Construction of a risk predictive model of acute kidney injury based on urinary tissue inhibitor of metalloproteinase 2 and insulin-like growth factor-binding protein 7 and its early predictive value in critically ill patients].
    Wang H; Mou H; Xu X; Zheng R
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Apr; 36(4):387-391. PubMed ID: 38813633
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Construction and validation of an early warning model for predicting the acute kidney injury in elderly patients with sepsis.
    Xin Q; Xie T; Chen R; Wang H; Zhang X; Wang S; Liu C; Zhang J
    Aging Clin Exp Res; 2022 Dec; 34(12):2993-3004. PubMed ID: 36053443
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A nomogram incorporating functional and tubular damage biomarkers to predict the risk of acute kidney injury for septic patients.
    Ma J; Deng Y; Lao H; Ouyang X; Liang S; Wang Y; Yao F; Deng Y; Chen C
    BMC Nephrol; 2021 May; 22(1):176. PubMed ID: 33985459
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Construction and evaluation of a mortality prediction model for patients with acute kidney injury undergoing continuous renal replacement therapy based on machine learning algorithms.
    Wang Y; Sun X; Lu J; Zhong L; Yang Z
    Ann Med; 2024 Dec; 56(1):2388709. PubMed ID: 39155811
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Construction and validation of a risk assessment model for acute kidney injury in patients with acute pancreatitis in the intensive care unit.
    Jiang Z; An X; Li Y; Xu C; Meng H; Qu Y
    BMC Nephrol; 2023 Oct; 24(1):315. PubMed ID: 37884898
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Construction and verification of a nomogram of factors influencing the risk of death in patient with sepsis-associated thrombocytopenia].
    Gu C; Wang H; Li Y; Cao Q; Zuo X
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Feb; 36(2):131-136. PubMed ID: 38442926
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and Validation of a Predictive Model for Acute Kidney Injury in Sepsis Patients Based on Recursive Partition Analysis.
    Lai K; Lin G; Chen C; Xu Y
    J Intensive Care Med; 2024 May; 39(5):465-476. PubMed ID: 37964547
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Elevated serum lactic acid level is an independent risk factor for the incidence and mortality of sepsis-associated acute kidney injury].
    Gong C; Jiang Y; Tang Y; Liu F; Shi Y; Zhou H; Xie K
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Jul; 34(7):714-720. PubMed ID: 36100409
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A novel risk-predicted nomogram for sepsis associated-acute kidney injury among critically ill patients.
    Yang S; Su T; Huang L; Feng LH; Liao T
    BMC Nephrol; 2021 May; 22(1):173. PubMed ID: 33971853
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Nomogram to predict the risk of acute kidney injury in patients with diabetic ketoacidosis: an analysis of the MIMIC-III database.
    Fan T; Wang H; Wang J; Wang W; Guan H; Zhang C
    BMC Endocr Disord; 2021 Mar; 21(1):37. PubMed ID: 33663489
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Predictive value of pulse infusion index in the short-term prognosis of patients with sepsis-induced acute kidney injury].
    Zhang J; Wang S; Chen N; Jin J; Li Y
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Nov; 35(11):1195-1199. PubMed ID: 37987131
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Construction and Validation of a Risk Prediction Model for Acute Kidney Injury in Patients Suffering from Septic Shock.
    Yue S; Li S; Huang X; Liu J; Hou X; Wang Y; Wu J
    Dis Markers; 2022; 2022():9367873. PubMed ID: 35035614
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Establishment and evaluation of a nomogram model for predicting the risk of sepsis in diabetic foot patients].
    Lin L; Wang J; Wan Y; Gao Y
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Jul; 36(7):693-698. PubMed ID: 39223882
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.