Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
LODS score for deceased ICU patients within 30 days is higher than survived ICU patients
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Mortality outcome |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Logistic Organ Dysfunction System Score | Other | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| LODS score discrimination ability | 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. | 30 days from admission |
| LODS score calibration | 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. | 30 days from admission |
| Correlation between LODS score variables with patient outcome | 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. | 30 days from admission |
| Measure | Description | Time Frame |
|---|---|---|
| Patient outcome | Patient outcome within 30 days of admission to intensive care unit (ICU): deceased or survived | 30 days from admission |
| LODS neurologic variable score: Glasgow Coma Scale (GCS) |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
intensive care unit patients medical records
Not provided
Not provided
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Rumah Sakit Cipto Mangunkusumo | Jakarta Pusat | DKI Jakarta | 10430 | Indonesia |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 25159474 | Background | 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. | |
| 24872651 | Background | 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. |
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D018805 | Sepsis |
| ID | Term |
|---|---|
| D007239 | Infections |
| D018746 | Systemic Inflammatory Response Syndrome |
| D007249 | Inflammation |
| D010335 | Pathologic Processes |
Not provided
Not provided
Not provided
Not provided
Not provided
|
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.
| Day 1 |
| LODS cardiovascular variable score: Heart rate (HR) and/or systolic blood pressure (SBP) | 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. | Day 1 |
| LODS renal variable score: serum urea nitrogen (BUN) and/or creatinine and/or urine output (UO) | 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. | Day 1 |
| LODS pulmonary variable score: Partial oxygen pressure (PaO2)/Fraction of inspired oxygen (FiO2) on Mechanical Ventilation (MV) or Continuous Positive Airway Pressure (CPAP) | 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. | Day 1 |
| LODS hematologic variable score: white blood cell (WBC) count and/or platelet count | 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 | Day 1 |
| LODS hepatic function variable score: Serum Bilirubin and/or Prothrombin time (PT) | 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. | Day 1 |
| Background | 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. |
| Background | Grenvik A, Ayres SM, Holbrook PR, Shoemaker WC, editors. Textbook of Critical Care. Subsequent edition. Philadelphia: W B Saunders Co; 2000. 2227 p |
| Background | Rao SM, Suhasini T. Organization of intensive care unit and predicting outcome of critical illness. Indian J Anaesth. 2003;47(5):328-37. |
| 8769590 | Background | 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. doi: 10.1001/jama.276.10.802. |
| 21923900 | Background | 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. |
| 22613443 | Background | 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. doi: 10.1177/147323001204000244. |
| Background | Saranya AVR S. Comparison of Different Scoring Systems Used in the Intensive Care Unit. Journal of Pulmonary & Respiratory Medicine. 2015;05(04). |
| 11497133 | Background | Timsit JF, Fosse JP, Troche 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. doi: 10.1007/s001340100961. |
| 12352033 | Background | Timsit JF, Fosse JP, Troche 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. doi: 10.1097/00003246-200209000-00009. |
| Background | Bouch DC, Thompson JP. Severity scoring systems in the critically ill. Contin Educ Anaesth Crit Care Pain. 2008;8:181-5. |
| 28176929 | Background | Dolejs J, Maresova 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. |
| 21184955 | Background | 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. |
| 28028673 | Background | 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. |
| 29293153 | Background | 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. |
| 29370259 | Background | 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. |
| 27904540 | Background | 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. |
| 27717425 | Background | 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. |
| 21716258 | Background | 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. |
| 24424722 | Background | 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. |
| 20156860 | Background | 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. |
| 4136544 | Background | Teasdale G, Jennett B. Assessment of coma and impaired consciousness. A practical scale. Lancet. 1974 Jul 13;2(7872):81-4. doi: 10.1016/s0140-6736(74)91639-0. No abstract available. |
| 20230998 | Background | 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. |
| 29719845 | Background | 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. |
| 26598376 | Background | 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. |
| 10692086 | Background | Reunanen A, Karjalainen J, Ristola P, Heliovaara M, Knekt P, Aromaa A. Heart rate and mortality. J Intern Med. 2000 Feb;247(2):231-9. doi: 10.1046/j.1365-2796.2000.00602.x. |
| 29359027 | Background | 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. |
| 23590048 | Background | 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. |
| 29304766 | Background | 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. |
| 29871897 | Background | 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. |
| 17481443 | Background | 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. doi: 10.1016/j.jacc.2007.01.076. Epub 2007 Apr 23. |
| 26864338 | Background | 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. No abstract available. |
| 26265696 | Background | 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. No abstract available. |
| 19143922 | Background | 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. |
| 24929766 | Background | 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. |
| 28681428 | Background | 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. |
| 24287146 | Background | 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. |
| 28314169 | Background | 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. |
| 28892712 | Background | 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. |
| 29275374 | Background | 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):e007507. doi: 10.1161/JAHA.117.007507. |
| 25928646 | Background | Esteve F, Lopez-Delgado JC, Javierre C, Skaltsa K, Carrio ML, Rodriguez-Castro D, Torrado H, Farrero E, Diaz-Prieto A, Ventura JL, Manez 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. |
| 25818272 | Background | Villar J, Blanco J, del Campo R, Andaluz-Ojeda D, Diaz-Dominguez FJ, Muriel A, Corcoles V, Suarez-Sipmann F, Tarancon C, Gonzalez-Higueras E, Lopez J, Blanch L, Perez-Mendez L, Fernandez RL, Kacmarek RM; Spanish Initiative for Epidemiology, Stratification & Therapies for ARDS (SIESTA) Network. Assessment of PaO(2)/FiO(2) 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. |
| 27074175 | Background | 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. |
| D013568 |
| Pathological Conditions, Signs and Symptoms |