4006-776-356 出国就医服务电话

免费获得国外相关药品,最快 1 个工作日回馈药物信息

出境医 / 临床实验 / LODS Role in Predicting 30-day Mortality Outcome in ICU

LODS Role in Predicting 30-day Mortality Outcome in ICU

Study Description
Brief Summary:
LODS score for deceased ICU patients within 30 days is higher than survived ICU patients

Condition or disease Intervention/treatment
Mortality Other: Logistic Organ Dysfunction System Score

Study Design
Layout table for study information
Study Type : Observational
Actual Enrollment : 439 participants
Observational Model: Cohort
Time Perspective: Retrospective
Official Title: Logistic Organ Dysfunction System Role in Predicting 30-day Mortality Outcome in Intensive Care Unit of dr. Cipto Mangunkusumo General Hospital Patients
Actual Study Start Date : May 17, 2018
Actual Primary Completion Date : August 17, 2018
Actual Study Completion Date : November 23, 2018
Arms and Interventions
Group/Cohort Intervention/treatment
Mortality outcome Other: Logistic Organ Dysfunction System Score
Variables of logistic organ dysfunction system score, including: GCS; heart rate; systolic BP; blood urea; serum creatinine; urine output; leucocyte count; platelet count; PaO2/FiO2; serum bilirubin; prothrombin time.
Other Name: LODS

Outcome Measures
Primary Outcome Measures :
  1. LODS score discrimination ability [ Time Frame: 30 days from admission ]
    LODS score ability to discriminate patient outcomes based on variables of logistic organ dysfunction system scores: GCS; heart rate; systolic BP; blood urea; serum creatinine; urine output; leucocyte count; platelet count; PaO2/FiO2; serum bilirubin; prothrombin time.

  2. LODS score calibration [ Time Frame: 30 days from admission ]
    LODS score ability to predict patient outcomes based on variables of logistic organ dysfunction system scores: GCS; heart rate; systolic BP; blood urea; serum creatinine; urine output; leucocyte count; platelet count; PaO2/FiO2; serum bilirubin; prothrombin time.

  3. Correlation between LODS score variables with patient outcome [ Time Frame: 30 days from admission ]
    Correlation between patient outcomes with each LODS score variables: GCS; heart rate; systolic BP; blood urea; serum creatinine; urine output; leucocyte count; platelet count; PaO2/FiO2; serum bilirubin; prothrombin time.


Secondary Outcome Measures :
  1. Patient outcome [ Time Frame: 30 days from admission ]
    Patient outcome within 30 days of admission to intensive care unit (ICU): deceased or survived

  2. LODS neurologic variable score: Glasgow Coma Scale (GCS) [ Time Frame: Day 1 ]

    The score for GCS variable cutoff:

    0 point for 14-15;

    1 point for 9-13; 3 points for 6-8; 5 points for 3-5.


  3. LODS cardiovascular variable score: Heart rate (HR) and/or systolic blood pressure (SBP) [ Time Frame: Day 1 ]

    The score for HR (in bpm) and/or SBP (in mmHg) variable cutoff:

    0 point for HR 30-139 and SBP 90-239;

    1 point for SBP 70-89 or 240-269 or HR >=140; 3 points for SBP 40-69 or >=270; 5 points for HR <30 or SBP <40.


  4. LODS renal variable score: serum urea nitrogen (BUN) and/or creatinine and/or urine output (UO) [ Time Frame: Day 1 ]

    The score for BUN (in mg/dL) and/or creatinine (in mg/dL) and/or UO (in litres/day) variable cutoff:

    0 point for BUN <17 AND creatinine <1.20 AND UO 0.75-9.99;

    1 point for BUN 17-<28 OR creatinine 1.20-1.59; 3 points for BUN 28-<56 AND creatinine <1.60 AND UO 0.5-0.74 or >=10; 5 points for BUN >=56 OR UO 0.5.


  5. LODS pulmonary variable score: Partial oxygen pressure (PaO2)/Fraction of inspired oxygen (FiO2) on Mechanical Ventilation (MV) or Continuous Positive Airway Pressure (CPAP) [ Time Frame: Day 1 ]

    The score for PaO2/FiO2 (in mmHg/%) variable cutoff:

    0 point for no ventilation and no CPAP;

    1 point for >=150; 3 points for <150.


  6. LODS hematologic variable score: white blood cell (WBC) count and/or platelet count [ Time Frame: Day 1 ]

    The score for WBC (in x10^3/L) and/or platelet count in (x10^3/L) variable cutoff:

    0 point for WBC 2.5-49.9 and platelet >=50;

    1 point for WBC 1.0-2.4 or >=50.0 OR platelet <50; 3 points for WBC <1.0


  7. LODS hepatic function variable score: Serum Bilirubin and/or Prothrombin time (PT) [ Time Frame: Day 1 ]

    The score for serum bilirubin (in mg/dL) and/or PT (in % of standard) variable cutoff:

    0 point for bilirubin <2.0 and PT >=25;

    1 point for bilirubin >=2.0 OR PT<25% or >3.



Eligibility Criteria
Layout table for eligibility information
Ages Eligible for Study:   18 Years and older   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Non-Probability Sample
Study Population
intensive care unit patients medical records
Criteria

Inclusion Criteria:

  • adult patient (age 18 years and above) admitted to ICU

Exclusion Criteria:

  • patients admitted to ICU due to burn injury, coronary artery disease, post cardiac surgery
  • patients with incomplete required information for LODS score
  • patients deceased or discharged less than 24 hours of admission
Contacts and Locations

Locations
Layout table for location information
Indonesia
Rumah Sakit Cipto Mangunkusumo
Jakarta Pusat, DKI Jakarta, Indonesia, 10430
Sponsors and Collaborators
Indonesia University
Tracking Information
First Submitted Date April 24, 2019
First Posted Date April 29, 2019
Last Update Posted Date April 29, 2019
Actual Study Start Date May 17, 2018
Actual Primary Completion Date August 17, 2018   (Final data collection date for primary outcome measure)
Current Primary Outcome Measures
 (submitted: April 24, 2019)
  • LODS score discrimination ability [ Time Frame: 30 days from admission ]
    LODS score ability to discriminate patient outcomes based on variables of logistic organ dysfunction system scores: GCS; heart rate; systolic BP; blood urea; serum creatinine; urine output; leucocyte count; platelet count; PaO2/FiO2; serum bilirubin; prothrombin time.
  • LODS score calibration [ Time Frame: 30 days from admission ]
    LODS score ability to predict patient outcomes based on variables of logistic organ dysfunction system scores: GCS; heart rate; systolic BP; blood urea; serum creatinine; urine output; leucocyte count; platelet count; PaO2/FiO2; serum bilirubin; prothrombin time.
  • Correlation between LODS score variables with patient outcome [ Time Frame: 30 days from admission ]
    Correlation between patient outcomes with each LODS score variables: GCS; heart rate; systolic BP; blood urea; serum creatinine; urine output; leucocyte count; platelet count; PaO2/FiO2; serum bilirubin; prothrombin time.
Original Primary Outcome Measures Same as current
Change History No Changes Posted
Current Secondary Outcome Measures
 (submitted: April 24, 2019)
  • Patient outcome [ Time Frame: 30 days from admission ]
    Patient outcome within 30 days of admission to intensive care unit (ICU): deceased or survived
  • LODS neurologic variable score: Glasgow Coma Scale (GCS) [ Time Frame: Day 1 ]
    The score for GCS variable cutoff: 0 point for 14-15; 1 point for 9-13; 3 points for 6-8; 5 points for 3-5.
  • LODS cardiovascular variable score: Heart rate (HR) and/or systolic blood pressure (SBP) [ Time Frame: Day 1 ]
    The score for HR (in bpm) and/or SBP (in mmHg) variable cutoff: 0 point for HR 30-139 and SBP 90-239; 1 point for SBP 70-89 or 240-269 or HR >=140; 3 points for SBP 40-69 or >=270; 5 points for HR <30 or SBP <40.
  • LODS renal variable score: serum urea nitrogen (BUN) and/or creatinine and/or urine output (UO) [ Time Frame: Day 1 ]
    The score for BUN (in mg/dL) and/or creatinine (in mg/dL) and/or UO (in litres/day) variable cutoff: 0 point for BUN <17 AND creatinine <1.20 AND UO 0.75-9.99; 1 point for BUN 17-<28 OR creatinine 1.20-1.59; 3 points for BUN 28-<56 AND creatinine <1.60 AND UO 0.5-0.74 or >=10; 5 points for BUN >=56 OR UO 0.5.
  • LODS pulmonary variable score: Partial oxygen pressure (PaO2)/Fraction of inspired oxygen (FiO2) on Mechanical Ventilation (MV) or Continuous Positive Airway Pressure (CPAP) [ Time Frame: Day 1 ]
    The score for PaO2/FiO2 (in mmHg/%) variable cutoff: 0 point for no ventilation and no CPAP; 1 point for >=150; 3 points for <150.
  • LODS hematologic variable score: white blood cell (WBC) count and/or platelet count [ Time Frame: Day 1 ]
    The score for WBC (in x10^3/L) and/or platelet count in (x10^3/L) variable cutoff: 0 point for WBC 2.5-49.9 and platelet >=50; 1 point for WBC 1.0-2.4 or >=50.0 OR platelet <50; 3 points for WBC <1.0
  • LODS hepatic function variable score: Serum Bilirubin and/or Prothrombin time (PT) [ Time Frame: Day 1 ]
    The score for serum bilirubin (in mg/dL) and/or PT (in % of standard) variable cutoff: 0 point for bilirubin <2.0 and PT >=25; 1 point for bilirubin >=2.0 OR PT<25% or >3.
Original Secondary Outcome Measures Same as current
Current Other Pre-specified Outcome Measures Not Provided
Original Other Pre-specified Outcome Measures Not Provided
 
Descriptive Information
Brief Title LODS Role in Predicting 30-day Mortality Outcome in ICU
Official Title Logistic Organ Dysfunction System Role in Predicting 30-day Mortality Outcome in Intensive Care Unit of dr. Cipto Mangunkusumo General Hospital Patients
Brief Summary LODS score for deceased ICU patients within 30 days is higher than survived ICU patients
Detailed Description Not Provided
Study Type Observational
Study Design Observational Model: Cohort
Time Perspective: Retrospective
Target Follow-Up Duration Not Provided
Biospecimen Not Provided
Sampling Method Non-Probability Sample
Study Population intensive care unit patients medical records
Condition Mortality
Intervention Other: Logistic Organ Dysfunction System Score
Variables of logistic organ dysfunction system score, including: GCS; heart rate; systolic BP; blood urea; serum creatinine; urine output; leucocyte count; platelet count; PaO2/FiO2; serum bilirubin; prothrombin time.
Other Name: LODS
Study Groups/Cohorts Mortality outcome
Intervention: Other: Logistic Organ Dysfunction System Score
Publications *
  • Power GS, Harrison DA. Why try to predict ICU outcomes? Curr Opin Crit Care. 2014 Oct;20(5):544-9. doi: 10.1097/MCC.0000000000000136. Review.
  • Rapsang AG, Shyam DC. Scoring systems in the intensive care unit: A compendium. Indian J Crit Care Med. 2014 Apr;18(4):220-8. doi: 10.4103/0972-5229.130573. Review.
  • Purnama Dewi O, Nurfitri E. Pediatric logistic organ dysfunction score as a predictive tool of dengue shock syndrome outcomes. Paediatrica Indonesiana. 2012;52(2):72-77.
  • Grenvik A, Ayres SM, Holbrook PR, Shoemaker WC, editors. Textbook of Critical Care. Subsequent edition. Philadelphia: W B Saunders Co; 2000. 2227 p
  • Rao SM, Suhasini T. Organization of intensive care unit and predicting outcome of critical illness. Indian J Anaesth. 2003;47(5):328-37.
  • Le Gall JR, Klar J, Lemeshow S, Saulnier F, Alberti C, Artigas A, Teres D. The Logistic Organ Dysfunction system. A new way to assess organ dysfunction in the intensive care unit. ICU Scoring Group. JAMA. 1996 Sep 11;276(10):802-10.
  • Heldwein MB, Badreldin AM, Doerr F, Lehmann T, Bayer O, Doenst T, Hekmat K. Logistic Organ Dysfunction Score (LODS): a reliable postoperative risk management score also in cardiac surgical patients? J Cardiothorac Surg. 2011 Sep 16;6:110. doi: 10.1186/1749-8090-6-110.
  • Kim TK, Yoon JR. Comparison of the predictive power of the LODS and APACHE II scoring systems in a neurological intensive care unit. J Int Med Res. 2012;40(2):777-86.
  • Saranya AVR S. Comparison of Different Scoring Systems Used in the Intensive Care Unit. Journal of Pulmonary & Respiratory Medicine. 2015;05(04).
  • Timsit JF, Fosse JP, Troché G, De Lassence A, Alberti C, Garrouste-Orgeas M, Azoulay E, Chevret S, Moine P, Cohen Y. Accuracy of a composite score using daily SAPS II and LOD scores for predicting hospital mortality in ICU patients hospitalized for more than 72 h. Intensive Care Med. 2001 Jun;27(6):1012-21.
  • Timsit JF, Fosse JP, Troché G, De Lassence A, Alberti C, Garrouste-Orgeas M, Bornstain C, Adrie C, Cheval C, Chevret S; OUTCOMEREA Study Group, France. Calibration and discrimination by daily Logistic Organ Dysfunction scoring comparatively with daily Sequential Organ Failure Assessment scoring for predicting hospital mortality in critically ill patients. Crit Care Med. 2002 Sep;30(9):2003-13.
  • Bouch DC, Thompson JP. Severity scoring systems in the critically ill. Contin Educ Anaesth Crit Care Pain. 2008;8:181-5.
  • Dolejs J, Marešová P. Onset of mortality increase with age and age trajectories of mortality from all diseases in the four Nordic countries. Clin Interv Aging. 2017 Jan 21;12:161-173. doi: 10.2147/CIA.S119327. eCollection 2017.
  • Ingraham AM, Cohen ME, Raval MV, Ko CY, Nathens AB. Comparison of hospital performance in emergency versus elective general surgery operations at 198 hospitals. J Am Coll Surg. 2011 Jan;212(1):20-28.e1. doi: 10.1016/j.jamcollsurg.2010.09.026. Erratum in: J Am Coll Surg. 2011 Jun;212(6):1100-1.
  • Ball IM, Bagshaw SM, Burns KE, Cook DJ, Day AG, Dodek PM, Kutsogiannis DJ, Mehta S, Muscedere JG, Turgeon AF, Stelfox HT, Wells GA, Stiell IG. Outcomes of elderly critically ill medical and surgical patients: a multicentre cohort study. Can J Anaesth. 2017 Mar;64(3):260-269. doi: 10.1007/s12630-016-0798-4. Epub 2016 Dec 27.
  • De Jong A, Verzilli D, Sebbane M, Monnin M, Belafia F, Cisse M, Conseil M, Carr J, Jung B, Chanques G, Molinari N, Jaber S. Medical Versus Surgical ICU Obese Patient Outcome: A Propensity-Matched Analysis to Resolve Clinical Trial Controversies. Crit Care Med. 2018 Apr;46(4):e294-e301. doi: 10.1097/CCM.0000000000002954.
  • Arihan O, Wernly B, Lichtenauer M, Franz M, Kabisch B, Muessig J, Masyuk M, Lauten A, Schulze PC, Hoppe UC, Kelm M, Jung C. Blood Urea Nitrogen (BUN) is independently associated with mortality in critically ill patients admitted to ICU. PLoS One. 2018 Jan 25;13(1):e0191697. doi: 10.1371/journal.pone.0191697. eCollection 2018.
  • Hashemian SM, Jamaati H, Farzanegan Bidgoli B, Farrokhi FR, Malekmohammad M, Roozdar S, Mohajerani SA, Bagheri A, Radmnand G, Hatami B, Chitsazan M. Outcome of Acute Kidney Injury in Critical Care Unit, Based on AKI Network. Tanaffos. 2016;15(2):89-95.
  • Engoren M, Maile MD, Heung M, Jewell ES, Vahabzadeh C, Haft JW, Kheterpal S. The Association Between Urine Output, Creatinine Elevation, and Death. Ann Thorac Surg. 2017 Apr;103(4):1229-1237. doi: 10.1016/j.athoracsur.2016.07.036. Epub 2016 Oct 4.
  • Macedo E, Malhotra R, Bouchard J, Wynn SK, Mehta RL. Oliguria is an early predictor of higher mortality in critically ill patients. Kidney Int. 2011 Oct;80(7):760-7. doi: 10.1038/ki.2011.150. Epub 2011 Jun 29.
  • Zhang Z, Xu X, Ni H, Deng H. Urine output on ICU entry is associated with hospital mortality in unselected critically ill patients. J Nephrol. 2014 Feb;27(1):65-71. doi: 10.1007/s40620-013-0024-1. Epub 2014 Jan 15.
  • Saygitov RT, Glezer MG, Semakina SV. Blood urea nitrogen and creatinine levels at admission for mortality risk assessment in patients with acute coronary syndromes. Emerg Med J. 2010 Feb;27(2):105-9. doi: 10.1136/emj.2008.068155.
  • Teasdale G, Jennett B. Assessment of coma and impaired consciousness. A practical scale. Lancet. 1974 Jul 13;2(7872):81-4.
  • Ting HW, Chen MS, Hsieh YC, Chan CL. Good mortality prediction by Glasgow Coma Scale for neurosurgical patients. J Chin Med Assoc. 2010 Mar;73(3):139-43. doi: 10.1016/S1726-4901(10)70028-9.
  • Nik A, Sheikh Andalibi MS, Ehsaei MR, Zarifian A, Ghayoor Karimiani E, Bahadoorkhan G. The Efficacy of Glasgow Coma Scale (GCS) Score and Acute Physiology and Chronic Health Evaluation (APACHE) II for Predicting Hospital Mortality of ICU Patients with Acute Traumatic Brain Injury. Bull Emerg Trauma. 2018 Apr;6(2):141-145. doi: 10.29252/beat-060208.
  • Zhang D, Shen X, Qi X. Resting heart rate and all-cause and cardiovascular mortality in the general population: a meta-analysis. CMAJ. 2016 Feb 16;188(3):E53-E63. doi: 10.1503/cmaj.150535. Epub 2015 Nov 23.
  • Reunanen A, Karjalainen J, Ristola P, Heliövaara M, Knekt P, Aromaa A. Heart rate and mortality. J Intern Med. 2000 Feb;247(2):231-9.
  • Prasada S, Oswalt C, Yeboah P, Saylor G, Bowden D, Yeboah J. Heart rate is an independent predictor of all-cause mortality in individuals with type 2 diabetes: The diabetes heart study. World J Diabetes. 2018 Jan 15;9(1):33-39. doi: 10.4239/wjd.v9.i1.33.
  • Tongyoo S, Permpikul C, Haemin R, Epichath N. Predicting factors, incidence and prognosis of cardiac arrhythmia in medical, non-acute coronary syndrome, critically ill patients. J Med Assoc Thai. 2013 Feb;96 Suppl 2:S238-45.
  • Li C, Chen Y, Zheng Q, Wu W, Chen Z, Song L, An S, Li Z, Chen S, Wu SL. Relationship between systolic blood pressure and all-cause mortality: a prospective study in a cohort of Chinese adults. BMC Public Health. 2018 Jan 5;18(1):107. doi: 10.1186/s12889-017-4965-5.
  • Lv YB, Gao X, Yin ZX, Chen HS, Luo JS, Brasher MS, Kraus VB, Li TT, Zeng Y, Shi XM. Revisiting the association of blood pressure with mortality in oldest old people in China: community based, longitudinal prospective study. BMJ. 2018 Jun 5;361:k2158. doi: 10.1136/bmj.k2158.
  • Ruggiero C, Metter EJ, Cherubini A, Maggio M, Sen R, Najjar SS, Windham GB, Ble A, Senin U, Ferrucci L. White blood cell count and mortality in the Baltimore Longitudinal Study of Aging. J Am Coll Cardiol. 2007 May 8;49(18):1841-50. Epub 2007 Apr 23.
  • Bonaccio M, Di Castelnuovo A, Costanzo S, De Curtis A, Donati MB, Cerletti C, de Gaetano G, Iacoviello L; MOLI-SANI Investigators. Age-sex-specific ranges of platelet count and all-cause mortality: prospective findings from the MOLI-SANI study. Blood. 2016 Mar 24;127(12):1614-6. doi: 10.1182/blood-2016-01-692814. Epub 2016 Feb 10.
  • Tsai MT, Chen YT, Lin CH, Huang TP, Tarng DC; Taiwan Geriatric Kidney Disease Research Group. U-shaped mortality curve associated with platelet count among older people: a community-based cohort study. Blood. 2015 Sep 24;126(13):1633-5. doi: 10.1182/blood-2015-06-654764. Epub 2015 Aug 11.
  • van der Bom JG, Heckbert SR, Lumley T, Holmes CE, Cushman M, Folsom AR, Rosendaal FR, Psaty BM. Platelet count and the risk for thrombosis and death in the elderly. J Thromb Haemost. 2009 Mar;7(3):399-405. doi: 10.1111/j.1538-7836.2008.03267.x. Epub 2008 Dec 20.
  • Ishizuka M, Tago K, Kubota K. Impact of prothrombin time-International Normalized Ratio on outcome of patients with septic shock receiving polymyxin B cartridge hemoperfusion. Surgery. 2014 Jul;156(1):168-75. doi: 10.1016/j.surg.2014.03.009. Epub 2014 Mar 15.
  • Benediktsson S, Frigyesi A, Kander T. Routine coagulation tests on ICU admission are associated with mortality in sepsis: an observational study. Acta Anaesthesiol Scand. 2017 Aug;61(7):790-796. doi: 10.1111/aas.12918.
  • Yokoyama Y, Ebata T, Igami T, Sugawara G, Ando M, Nagino M. Predictive power of prothrombin time and serum total bilirubin for postoperative mortality after major hepatectomy with extrahepatic bile duct resection. Surgery. 2014 Mar;155(3):504-11. doi: 10.1016/j.surg.2013.08.022. Epub 2013 Nov 25.
  • Pierrakos C, Velissaris D, Felleiter P, Antonelli M, Vanhems P, Sakr Y, Vincent JL; EPIC II investigators. Increased mortality in critically ill patients with mild or moderate hyperbilirubinemia. J Crit Care. 2017 Aug;40:31-35. doi: 10.1016/j.jcrc.2017.01.017. Epub 2017 Feb 13.
  • Su HH, Kao CM, Lin YC, Lin YC, Kao CC, Chen HH, Hsu CC, Chen KC, Peng CC, Wu MS. Relationship between serum total bilirubin levels and mortality in uremia patients undergoing long-term hemodialysis: A nationwide cohort study. Atherosclerosis. 2017 Oct;265:155-161. doi: 10.1016/j.atherosclerosis.2017.09.001. Epub 2017 Sep 4.
  • Yang TL, Lin YC, Lin YC, Huang CY, Chen HH, Wu MS. Total Bilirubin in Prognosis for Mortality in End-Stage Renal Disease Patients on Peritoneal Dialysis Therapy. J Am Heart Assoc. 2017 Dec 23;6(12). pii: e007507. doi: 10.1161/JAHA.117.007507.
  • Esteve F, Lopez-Delgado JC, Javierre C, Skaltsa K, Carrio ML, Rodríguez-Castro D, Torrado H, Farrero E, Diaz-Prieto A, Ventura JL, Mañez R. Evaluation of the PaO2/FiO2 ratio after cardiac surgery as a predictor of outcome during hospital stay. BMC Anesthesiol. 2014 Sep 26;14:83. doi: 10.1186/1471-2253-14-83.
  • Villar J, Blanco J, del Campo R, Andaluz-Ojeda D, Díaz-Domínguez FJ, Muriel A, Córcoles V, Suárez-Sipmann F, Tarancón C, González-Higueras E, López J, Blanch L, Pérez-Méndez L, Fernández RL, Kacmarek RM; Spanish Initiative for Epidemiology, Stratification & Therapies for ARDS (SIESTA) Network. Assessment of PaO₂/FiO₂ for stratification of patients with moderate and severe acute respiratory distress syndrome. BMJ Open. 2015 Mar 27;5(3):e006812. doi: 10.1136/bmjopen-2014-006812.
  • Fialkow L, Farenzena M, Wawrzeniak IC, Brauner JS, Vieira SR, Vigo A, Bozzetti MC. Mechanical ventilation in patients in the intensive care unit of a general university hospital in southern Brazil: an epidemiological study. Clinics (Sao Paulo). 2016 Mar;71(3):144-51. doi: 10.6061/clinics/2016(03)05.

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Recruitment Information
Recruitment Status Completed
Actual Enrollment
 (submitted: April 24, 2019)
439
Original Actual Enrollment Same as current
Actual Study Completion Date November 23, 2018
Actual Primary Completion Date August 17, 2018   (Final data collection date for primary outcome measure)
Eligibility Criteria

Inclusion Criteria:

  • adult patient (age 18 years and above) admitted to ICU

Exclusion Criteria:

  • patients admitted to ICU due to burn injury, coronary artery disease, post cardiac surgery
  • patients with incomplete required information for LODS score
  • patients deceased or discharged less than 24 hours of admission
Sex/Gender
Sexes Eligible for Study: All
Ages 18 Years and older   (Adult, Older Adult)
Accepts Healthy Volunteers No
Contacts Contact information is only displayed when the study is recruiting subjects
Listed Location Countries Indonesia
Removed Location Countries  
 
Administrative Information
NCT Number NCT03930160
Other Study ID Numbers IndonesiaUAnes035
Has Data Monitoring Committee No
U.S. FDA-regulated Product
Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No
IPD Sharing Statement Not Provided
Responsible Party Dita Aditianingsih, Indonesia University
Study Sponsor Indonesia University
Collaborators Not Provided
Investigators Not Provided
PRS Account Indonesia University
Verification Date April 2019