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 *

141 related articles for article (PubMed ID: 38596065)

  • 1. Application of neutrophil-to-lymphocyte-to-monocyte ratio in predicting mortality risk in adult patients with septic shock: A retrospective cohort study conducted at a single center.
    Lin XM; Zhang LF; Wang YT; Huang T; Lin XF; Hong XY; Zheng HJ; Xie RC; Ma JF
    Heliyon; 2024 Apr; 10(7):e28809. PubMed ID: 38596065
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Combined prognostic value of serum lactic acid, procalcitonin and severity score for short-term prognosis of septic shock patients].
    Hao C; Hu Q; Zhu L; Xu H; Zhang Y
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2021 Mar; 33(3):281-285. PubMed ID: 33834968
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Study on the value of prothrombin time for predicting the severity and prognosis of septic patients].
    Bai H; Shen L; Jing L; Liu W; Sun Z; Tang N
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Jul; 34(7):682-688. PubMed ID: 36100403
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Lactic acid, lactate clearance and procalcitonin in assessing the severity and predicting prognosis in sepsis].
    Zhao M; Duan M
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2020 Apr; 32(4):449-453. PubMed ID: 32527351
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Dynamic changes of platelet count in first week and their predictive value for prognosis in septic shock patients].
    Gao Y; Mei Q; Pan A
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Oct; 34(10):1055-1059. PubMed ID: 36473563
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Construction and validation of a nomogram for predicting the prognosis of patients with septic shock in department of emergency medicine].
    Wang T; Li J; Hao D; Qi A
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Jun; 36(6):578-584. PubMed ID: 38991955
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Evaluation value of human antibacterial peptide LL-37 on the prognosis of elderly patients with sepsis].
    Guo W; Wang C; Huo F; Li H; Yan Y; Xu S; Xu H; Li Y; Zhang X; Bai J
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2018 Nov; 30(11):1011-1016. PubMed ID: 30541637
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A dynamic nomogram for predicting 28-day mortality in septic shock: a Chinese retrospective cohort study.
    Xu Z; Huang M
    PeerJ; 2024; 12():e16723. PubMed ID: 38282860
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [A model based on random forests in prediction of 28-day prognosis in patients with severe sepsis/septic shock].
    Wang Y; Chen S; Hu C; Chen C; Yan J; Cai G
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2017 Dec; 29(12):1071-1076. PubMed ID: 29216938
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Value of the combination of renal resistive index and central venous pressure to predict septic shock induced acute kidney injury].
    Fu Y; He C; Bai Y; Zhang N; Zhao H
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2020 Apr; 32(4):473-477. PubMed ID: 32527356
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Predictive value of glycemic variability within 6 hours on the short-term prognosis of patients with septic shock].
    Sun C; Zhong B; Shen H; Zhu J
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2021 Jan; 33(1):28-32. PubMed ID: 33565396
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Establishing a prognostic prediction model for patients with septic shock based on the completion time of fluid resuscitation and the negative fluid balance volumes].
    Qian J; Zhang J
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Mar; 36(3):244-248. PubMed ID: 38538351
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Influence of hypomagnesemia on the prognosis of severe septic patients].
    Tong F; Fang X; Zhu C; Pan A
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Jan; 34(1):23-27. PubMed ID: 35307056
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [A new score system for prediction of death in patients with severe trauma: the value of death warning score].
    Xueyuan L; Yu S; Min G; Ya X; He J; Miao C; Huaping L; Tao C
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2015 Nov; 27(11):890-4. PubMed ID: 27132455
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Predictive value of heparin-binding protein combined with sequential organ failure assessment score in patients with septic shock].
    Yang Y; Shao H; Shi Y; Dong X; Wang X; Qin B
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2019 Mar; 31(3):336-340. PubMed ID: 30914096
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [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]  

  • 17. [Evaluation of microcirculatory changes after bundle therapy and prognostic value by the ratio of transcutaneous oxygen pressure and transcutaneous carbon dioxide pressure in the treatment of septic shock].
    Zhang W; Shao J; Wu X; Yu J; Zheng R
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2019 Dec; 31(12):1521-1526. PubMed ID: 32029041
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Correlation between shock index and severity of septic shock and its prognostic value].
    Wu A; Wang J; Han F; Ni Y
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2018 Dec; 30(12):1141-1145. PubMed ID: 30592947
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Short-term survival survey and risk factors analysis of death in sepsis patients in intensive care unit].
    Yao H; Shao H; Liu J; Zhang J; Liu D; Liu D
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Oct; 35(10):1039-1044. PubMed ID: 37873707
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Construction of a predictive model for early acute kidney injury risk in intensive care unit septic shock patients based on machine learning].
    Zhang S; Tang S; Rong S; Zhu M; Liu J; Hu Q; Hao C
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Mar; 34(3):255-259. PubMed ID: 35574741
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.