BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

3361 related articles for article (PubMed ID: 29961290)

  • 1. [Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].
    Tang CQ; Li JQ; Xu DY; Liu XB; Hou WJ; Lyu KY; Xiao SC; Xia ZF
    Zhonghua Shao Shang Za Zhi; 2018 Jun; 34(6):343-348. PubMed ID: 29961290
    [No Abstract]   [Full Text] [Related]  

  • 2. [The features and treatment of Xixia "May 17th" explosion accident].
    Wang S; Yang B; Li X; Sun Y; Cao S; Zhu T; Xu M; Li X; Li T; Zhao J
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2018 Dec; 30(12):1196-1199. PubMed ID: 30592957
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Retrospective study on the myocardial damage of 252 patients with severe burn].
    Zhang C; Zhang J; Zhang D; Xie W; Jiang Z; Lin G; Niu X; Huang Y
    Zhonghua Shao Shang Za Zhi; 2016 May; 32(5):260-5. PubMed ID: 27188483
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Value of renal injury marker protein in early diagnosis of acute kidney injury in burn patients with delayed resuscitation].
    Li XL; Ye XY; Li YG; Xiao HT; Zhao XK; Zhang J; Feng K; Tian SM; Lou JH; Xia CD
    Zhonghua Shao Shang Za Zhi; 2021 Feb; 37(2):143-149. PubMed ID: 33550768
    [No Abstract]   [Full Text] [Related]  

  • 5. [Early predictive value of high density lipoprotein cholesterol for secondary acute kidney injury in sepsis patients].
    Li JY; Yao YM; Tian Y
    Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi; 2022 Feb; 38(2):130-136. PubMed ID: 35220701
    [No Abstract]   [Full Text] [Related]  

  • 6. [Establishment of nomogram predicting model for the death risk of extremely severe burn patients and the predictive value].
    Zeng QL; Wang QM; Tao LJ; Hao F; Luo QZ
    Zhonghua Shao Shang Za Zhi; 2020 Sep; 36(9):845-852. PubMed ID: 32972070
    [No Abstract]   [Full Text] [Related]  

  • 7. [Analysis on clinical characteristics of 13 extremely severe burn patients complicated with severe inhalation injury in August 2nd Kunshan factory aluminum dust explosion accident].
    Liu SL; Sun X; Xu H; Zhao DG; Yang XJ; Jin J; Wang J; Fu JH; Guo GH; Guo Q
    Zhonghua Shao Shang Za Zhi; 2018 Jul; 34(7):450-454. PubMed ID: 30060346
    [No Abstract]   [Full Text] [Related]  

  • 8. [Retrospective cohort study on the correlation between high value of lactic acid and risk of death in 127 patients with extensive burn during shock stage].
    Ding XB; Chen J; Yang YT; Peng X; Yan H; Peng YZ
    Zhonghua Shao Shang Za Zhi; 2019 May; 35(5):326-332. PubMed ID: 31154729
    [No Abstract]   [Full Text] [Related]  

  • 9. [Value of joint prediction model based on the modified systemic inflammatory response syndrome score for predicting mortality risk of patients with large area burns at early stage after admission].
    Fan JH; Sun YF; Wu GS; Wang KA; Wei J; Sun Y
    Zhonghua Shao Shang Za Zhi; 2020 Jan; 36(1):42-47. PubMed ID: 32023717
    [No Abstract]   [Full Text] [Related]  

  • 10. [Establishment and validation of a risk prediction model for disseminated intravascular coagulation patients with electrical burns].
    Li Q; Ba T; Cao SJ; Chen Q; Zhou B; Yan ZQ; Hou ZH; Wang LF
    Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi; 2023 Aug; 39(8):738-745. PubMed ID: 37805784
    [No Abstract]   [Full Text] [Related]  

  • 11. Clinical characteristics and risk factors for severe burns complicated by early acute kidney injury.
    Chen B; Zhao J; Zhang Z; Li G; Jiang H; Huang Y; Li X
    Burns; 2020 Aug; 46(5):1100-1106. PubMed ID: 31839503
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Analysis on treatment of eight extremely severe burn patients in August 2nd Kunshan factory aluminum dust explosion accident].
    Chai JK; Zheng QY; Li LG; Ye SJ; Wen ZG; Li JJ; Wang SJ; Li DJ; Xie WZ; Wang JL; Hai HL; Chen RJ; Shao JC; Wang H; Li Q; Xu ZM; Xu LP; Xiao HJ; Zhou LM; Feng R
    Zhonghua Shao Shang Za Zhi; 2018 Jun; 34(6):332-338. PubMed ID: 29961288
    [No Abstract]   [Full Text] [Related]  

  • 13. [Renal echography and cystatin C for prediction of acute kidney injury: very different in patients with cardiac failure or sepsis].
    Zhi H; Zhang M; Cui X; Li Y
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2019 Oct; 31(10):1258-1263. PubMed ID: 31771725
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Establishment of an early risk prediction model for bloodstream infection and analysis of its predictive value in patients with extremely severe burns].
    Zhang Y; Ma ZZ; Wu BW; Dou Y; Zhang Q; Yang LY; Chen EZ
    Zhonghua Shao Shang Za Zhi; 2021 Jun; 37(6):530-537. PubMed ID: 34139830
    [No Abstract]   [Full Text] [Related]  

  • 15. [Clinical significance of continuous thrombocytopenia in predicting sepsis after severe burn].
    Guo F; Liang X; Huan J
    Zhonghua Shao Shang Za Zhi; 2014 Aug; 30(4):295-8. PubMed ID: 25429806
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [A new warning scoring system establishment for prediction of sepsis in patients with trauma in intensive care unit].
    Huang Q; Sun Y; Luo L; Meng S; Chen T; Ai S; Jiang D; Liang H
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2019 Apr; 31(4):422-427. PubMed ID: 31109414
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Effects of airway management team in the treatment of severely mass burn patients combined with inhalation injury].
    Sun D; Zhao P; Ni JY; Sun JJ; Ren YW; Wang F; Zhu LH
    Zhonghua Shao Shang Za Zhi; 2018 Jun; 34(6):354-359. PubMed ID: 29961292
    [No Abstract]   [Full Text] [Related]  

  • 18. [Combined predictive value of the risk factors influencing the short-term prognosis of sepsis].
    Chen R; Zhou X; Rui Q; Wang X
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2020 Mar; 32(3):307-312. PubMed ID: 32385994
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Comparison of machine learning and Logistic regression model in predicting acute kidney injury after cardiac surgery: data analysis based on MIMIC-III database].
    Xiong W; Zhang L; She K; Xu G; Bai S; Liu X
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Nov; 34(11):1188-1193. PubMed ID: 36567564
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Prognostic significance of plasma gelsolin in severe burn patients with sepsis].
    Huang L; Yao Y; Dong N; He L; Zhang Q; Yu Y; Sheng Z
    Zhonghua Shao Shang Za Zhi; 2016 Feb; 32(2):77-81. PubMed ID: 26902273
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 169.