BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

402 related articles for article (PubMed ID: 35850582)

  • 1. The relationship between hematocrit and serum albumin levels difference and mortality in elderly sepsis patients in intensive care units-a retrospective study based on two large database.
    Wang Z; Zhang L; Li S; Xu F; Han D; Wang H; Huang T; Yin H; Lyu J
    BMC Infect Dis; 2022 Jul; 22(1):629. PubMed ID: 35850582
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A nomogram for predicting hospital mortality of critical ill patients with sepsis and cancer: a retrospective cohort study based on MIMIC-IV and eICU-CRD.
    Yuan ZN; Xue YJ; Wang HJ; Qu SN; Huang CL; Wang H; Zhang H; Xing XZ
    BMJ Open; 2023 Sep; 13(9):e072112. PubMed ID: 37696627
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Retrospective analysis of serum C-reactive protein/albumin ratio for the prognosis of the adult patients with sepsis].
    Sun R; Sun X; Yang H; Liu Q
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2016 May; 28(5):413-7. PubMed ID: 29920034
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Association between hematocrit and the 30-day mortality of patients with sepsis: A retrospective analysis based on the large-scale clinical database MIMIC-IV.
    Luo M; Chen Y; Cheng Y; Li N; Qing H
    PLoS One; 2022; 17(3):e0265758. PubMed ID: 35324947
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The correlation study between blood urea nitrogen to serum albumin ratio and prognosis of patients with sepsis during hospitalization.
    Min J; Lu J; Zhong L; Yuan M; Xu Y
    BMC Anesthesiol; 2022 Dec; 22(1):404. PubMed ID: 36577937
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mortality prediction for patients with acute respiratory distress syndrome based on machine learning: a population-based study.
    Huang B; Liang D; Zou R; Yu X; Dan G; Huang H; Liu H; Liu Y
    Ann Transl Med; 2021 May; 9(9):794. PubMed ID: 34268407
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Aspirin Therapy and 28-Day Mortality in ICU Patients: A Retrospective Observational Study From Two Large Databases.
    Wang L; Li B; Zuo L; Pei F; Nie Y; Liu Y; Liu Z; Wu J; Guan X
    Clin Ther; 2023 Apr; 45(4):316-332. PubMed ID: 36973090
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Association between Lactate Dehydrogenase to Albumin Ratio and 28-Day Mortality in Patients with Sepsis: a Retrospective Cohort Study.
    Liu Z; Liu F; Jie Y; Chen X
    Clin Lab; 2024 Jan; 70(1):. PubMed ID: 38213221
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Feasibility study of the difference between hematocrit and albumin for identifying hemorrhagic shock and septic shock].
    Dai D; Hu R; Xu W; Su Y; Li M; Duan H; Wang Y
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2018 Dec; 30(12):1137-1140. PubMed ID: 30592946
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation.
    Zhou S; Lu Z; Liu Y; Wang M; Zhou W; Cui X; Zhang J; Xiao W; Hua T; Zhu H; Yang M
    Eur J Med Res; 2024 Jan; 29(1):14. PubMed ID: 38172962
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Interpretable machine learning for 28-day all-cause in-hospital mortality prediction in critically ill patients with heart failure combined with hypertension: A retrospective cohort study based on medical information mart for intensive care database-IV and eICU databases.
    Peng S; Huang J; Liu X; Deng J; Sun C; Tang J; Chen H; Cao W; Wang W; Duan X; Luo X; Peng S
    Front Cardiovasc Med; 2022; 9():994359. PubMed ID: 36312291
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis.
    Zeng Z; Yao S; Zheng J; Gong X
    BioData Min; 2021 Aug; 14(1):40. PubMed ID: 34399809
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Analysis of clinical features and risk factors for mortality in patients with culture-negative sepsis: a single-center retrospective cohort study based on MIMIC-IV].
    Ou Q; Cai G; Zhou Y; Wen M
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2021 Oct; 33(10):1181-1186. PubMed ID: 34955125
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Early Lactate/Albumin and Procalcitonin/Albumin Ratios as Predictors of 28-Day Mortality in ICU-Admitted Sepsis Patients: A Retrospective Cohort Study.
    Li F; Ye Z; Zhu J; Gu S; Peng S; Fang Y; Hu L; Xiong J
    Med Sci Monit; 2023 Jul; 29():e940654. PubMed ID: 37518978
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [A nonlinear relationship between the hemoglobin level and prognosis of elderly patients with sepsis: an analysis based on MIMIC-IV].
    Yang P; Yuan J; Chen Q; Yu J; Zheng R; Yu L; Yuan Z; Zhang Y; Zhong W; Ma T; Ding X
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Jun; 35(6):573-577. PubMed ID: 37366121
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Clinical Value of the Lactate/Albumin Ratio and Lactate/Albumin Ratio × Age Score in the Assessment of Prognosis in Patients With Sepsis.
    Chen X; Zhou X; Zhao H; Wang Y; Pan H; Ma K; Xia Z
    Front Med (Lausanne); 2021; 8():732410. PubMed ID: 34722573
    [No Abstract]   [Full Text] [Related]  

  • 17. Value of early critical care transthoracic echocardiography for patients undergoing mechanical ventilation: a retrospective study.
    Jiang H; Xu W; Chen W; Pan L; Yu X; Ye Y; Fang Z; Zhang X; Chen Z; Shu J; Pan J
    BMJ Open; 2021 Oct; 11(10):e048646. PubMed ID: 34675012
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Clinical value of nutritional risk scores in patients with sepsis associated acute renal injury].
    Wang N; Qin Z; Liu H; Shang N; Wang Y; Xi X
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Mar; 34(3):245-249. PubMed ID: 35574739
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Feasibility of difference between hematocrit and albumin for identifying severity of scrub typhus disease].
    Xu W; Hu R; Wang Y; Li M; Qian R; Zhao W; Wang Y; Xiaoli L; Dai D
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2019 Dec; 31(12):1527-1530. PubMed ID: 32029042
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Simple Weaning Model Based on Interpretable Machine Learning Algorithm for Patients With Sepsis: A Research of MIMIC-IV and eICU Databases.
    Liu W; Tao G; Zhang Y; Xiao W; Zhang J; Liu Y; Lu Z; Hua T; Yang M
    Front Med (Lausanne); 2021; 8():814566. PubMed ID: 35118099
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.