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 *

180 related articles for article (PubMed ID: 32383124)

  • 1. External validation of a prognostic model for intensive care unit mortality: a retrospective study using the Ontario Critical Care Information System.
    Priestap F; Kao R; Martin CM
    Can J Anaesth; 2020 Aug; 67(8):981-991. PubMed ID: 32383124
    [TBL] [Abstract][Full Text] [Related]  

  • 2. To develop a regional ICU mortality prediction model during the first 24 h of ICU admission utilizing MODS and NEMS with six other independent variables from the Critical Care Information System (CCIS) Ontario, Canada.
    Kao R; Priestap F; Donner A
    J Intensive Care; 2016; 4():16. PubMed ID: 26933498
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Simplified Mortality Score for the Intensive Care Unit (SMS-ICU): protocol for the development and validation of a bedside clinical prediction rule.
    Granholm A; Perner A; Krag M; Hjortrup PB; Haase N; Holst LB; Marker S; Collet MO; Jensen AK; Møller MH
    BMJ Open; 2017 Mar; 7(3):e015339. PubMed ID: 28279999
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Community-wide assessment of intensive care outcomes using a physiologically based prognostic measure: implications for critical care delivery from Cleveland Health Quality Choice.
    Sirio CA; Shepardson LB; Rotondi AJ; Cooper GS; Angus DC; Harper DL; Rosenthal GE
    Chest; 1999 Mar; 115(3):793-801. PubMed ID: 10084494
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prognostic models for identifying risk of poor outcome in people with acute ankle sprains: the SPRAINED development and external validation study.
    Keene DJ; Schlüssel MM; Thompson J; Hagan DA; Williams MA; Byrne C; Goodacre S; Cooke M; Gwilym S; Hormbrey P; Bostock J; Haywood K; Wilson D; Collins GS; Lamb SE
    Health Technol Assess; 2018 Nov; 22(64):1-112. PubMed ID: 30474592
    [TBL] [Abstract][Full Text] [Related]  

  • 6. External validation of the Simplified Mortality Score for the Intensive Care Unit (SMS-ICU).
    Granholm A; Perner A; Krag M; Marker S; Hjortrup PB; Haase N; Holst LB; Collet MO; Jensen AKG; Møller MH
    Acta Anaesthesiol Scand; 2019 Oct; 63(9):1216-1224. PubMed ID: 31273763
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting COVID-19 prognosis in the ICU remained challenging: external validation in a multinational regional cohort.
    Meijs DAM; van Kuijk SMJ; Wynants L; Stessel B; Mehagnoul-Schipper J; Hana A; Scheeren CIE; Bergmans DCJJ; Bickenbach J; Vander Laenen M; Smits LJM; van der Horst ICC; Marx G; Mesotten D; van Bussel BCT;
    J Clin Epidemiol; 2022 Dec; 152():257-268. PubMed ID: 36309146
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The acute physiology and chronic health evaluation III outcome prediction in patients admitted to the intensive care unit after pneumonectomy.
    Keegan MT; Harrison BA; Brown DR; Whalen FX; Cassivi SD; Afessa B
    J Cardiothorac Vasc Anesth; 2007 Dec; 21(6):832-7. PubMed ID: 18068061
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of outcome in intensive care unit trauma patients: a multicenter study of Acute Physiology and Chronic Health Evaluation (APACHE), Trauma and Injury Severity Score (TRISS), and a 24-hour intensive care unit (ICU) point system.
    Vassar MJ; Lewis FR; Chambers JA; Mullins RJ; O'Brien PE; Weigelt JA; Hoang MT; Holcroft JW
    J Trauma; 1999 Aug; 47(2):324-9. PubMed ID: 10452468
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Early Prediction of Intensive Care Unit-Acquired Weakness: A Multicenter External Validation Study.
    Witteveen E; Wieske L; Sommers J; Spijkstra JJ; de Waard MC; Endeman H; Rijkenberg S; de Ruijter W; Sleeswijk M; Verhamme C; Schultz MJ; van Schaik IN; Horn J
    J Intensive Care Med; 2020 Jun; 35(6):595-605. PubMed ID: 29716425
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of outcome from intensive care: a prospective cohort study comparing Acute Physiology and Chronic Health Evaluation II and III prognostic systems in a United Kingdom intensive care unit.
    Beck DH; Taylor BL; Millar B; Smith GB
    Crit Care Med; 1997 Jan; 25(1):9-15. PubMed ID: 8989170
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and validation of the critical care outcome prediction equation, version 4.
    Duke GJ; Barker A; Rasekaba T; Hutchinson A; Santamaria JD
    Crit Care Resusc; 2013 Sep; 15(3):191-7. PubMed ID: 23944205
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Simplified prognostic model for critically ill patients in resource limited settings in South Asia.
    Haniffa R; Mukaka M; Munasinghe SB; De Silva AP; Jayasinghe KSA; Beane A; de Keizer N; Dondorp AM
    Crit Care; 2017 Oct; 21(1):250. PubMed ID: 29041985
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Veterans Affairs intensive care unit risk adjustment model: validation, updating, recalibration.
    Render ML; Deddens J; Freyberg R; Almenoff P; Connors AF; Wagner D; Hofer TP
    Crit Care Med; 2008 Apr; 36(4):1031-42. PubMed ID: 18379226
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of In-hospital Mortality Among Intensive Care Unit Patients Using Modified Daily Laboratory-based Acute Physiology Score, Version 2.
    Kohn R; Weissman GE; Wang W; Ingraham NE; Scott S; Bayes B; Anesi GL; Halpern SD; Kipnis P; Liu VX; Dudley RA; Kerlin MP
    Med Care; 2023 Aug; 61(8):562-569. PubMed ID: 37308947
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records.
    Thorsen-Meyer HC; Nielsen AB; Nielsen AP; Kaas-Hansen BS; Toft P; Schierbeck J; Strøm T; Chmura PJ; Heimann M; Dybdahl L; Spangsege L; Hulsen P; Belling K; Brunak S; Perner A
    Lancet Digit Health; 2020 Apr; 2(4):e179-e191. PubMed ID: 33328078
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Customization and external validation of the Simplified Mortality Score for the Intensive Care Unit (SMS-ICU) in Brazilian critically ill patients.
    Zampieri FG; Granholm A; Møller MH; Scotti AV; Alves A; Cabral MM; Sousa MF; Balieiro HM; Hortala CC; Filho EMR; Perecmanis E; de Magalhães Menezes MA; Moreira CEN; Moralez GM; Bafi AT; de Carvalho CB; Salluh JIF; Bozza FA; Perner A; Soares M
    J Crit Care; 2020 Oct; 59():94-100. PubMed ID: 32585439
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting Mortality in Low-Income Country ICUs: The Rwanda Mortality Probability Model (R-MPM).
    Riviello ED; Kiviri W; Fowler RA; Mueller A; Novack V; Banner-Goodspeed VM; Weinkauf JL; Talmor DS; Twagirumugabe T
    PLoS One; 2016; 11(5):e0155858. PubMed ID: 27196252
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Sex-and age-based differences in the delivery and outcomes of critical care.
    Fowler RA; Sabur N; Li P; Juurlink DN; Pinto R; Hladunewich MA; Adhikari NK; Sibbald WJ; Martin CM
    CMAJ; 2007 Dec; 177(12):1513-9. PubMed ID: 18003954
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Performance of SAPS II according to ICU length of stay: A Danish nationwide cohort study.
    Granholm A; Christiansen CF; Christensen S; Perner A; Møller MH
    Acta Anaesthesiol Scand; 2019 Oct; 63(9):1200-1209. PubMed ID: 31197823
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.