A study on the trend of Modified Sequential Organ Failure Assessment ability changes to predict the sequel of patients in internal critical care units

authors:

avatar Abbasali Ebrahimian , avatar Hosein Ghasemian-Nik , avatar A. li Fakhr-Movahedi

Warning: No corresponding author defined!
Koomesh: Vol.20, issue 4; 800-807
published online: June 02, 2018
article type: issue_documents_importer
received: September 02, 2017
accepted: May 02, 2018

how to cite: Ebrahimian A, Ghasemian-Nik H, Fakhr-Movahedi A L. A study on the trend of Modified Sequential Organ Failure Assessment ability changes to predict the sequel of patients in internal critical care units. koomesh. 2018;20(4):e153029. 

Abstract

Introduction: In most of studies, Modified Sequential Organ Failure Assessment (MSOFA) was used in admission time of patients in intensive care units, while its changes in the value of the scores have been underestimated during the patients’ hospitalization. So, this study was purposed to detect the trend of mean changes and the ability of MSOFA to predict the sequel of patients in internal critical care units. Materials and Methods: In a prospective analytical descriptive study, 346 medical patients of intensive care units of Imam Reza hospital in Mashhad city (Iran) were monitored. Data collection tool was MSOFA check list. Information of each patient was collected and recorded for 12 days. Results: During 12 days of study, the progression of the mean scores of MSOFA was indicated an increasing and decreasing trend for patients who died and discharged respectively. Conspicoiusly, the trend of changes in area under the ROC curve also showed that modified SOFA had more ability in recognition of ill patients and detection of sequel of them in the days after the admission of patients in the intensive care units. Conclusion: Ability of MSOFA in detection of sequel of medical patients in intensive care units was increased with duration of hospitalization of them. Thus, it was suggested that the daily MSOFA scores were calculated and recorded in addition to other care and treatment measurements. Also, trend of MSOFA scores during hospitalization, especially scores of last days, can use as decision making index about deterioration of patients in intensive care units

References

  • 1.

    Capuzzo M, Moreno RP, Alvisi R. Admission and discharge of critically ill patients. Curr Opin Crit Care 2010; 16: 499-504.

  • 2.

    Abbasi M, Mohammadi N, Nikbakht Nasrabadi A, Sadeghi T. Experiences of living with coronary artery bypass graft: A qualitative study. Hayat 2014; 19: 38-47. (Persian).

  • 3.

    Wunsch H, Wagner J, Herlim M, Chong D, Kramer A, Halpern SD. ICU occupancy and mechanical ventilator use in the United States. Crit Care Med 2013; 41: 10.

  • 4.

    Halpern NA, Pastores SM. Critical care medicine beds, use, occupancy, and costs in the United States: a methodological review. Crit Care Med 2015; 43: 2452-2459.

  • 5.

    Ebrahimian A, Dehvan F. Evaluation of nurses job expectations in hospitals executing the efficiency improvement law in Semnan. Koomesh 2016; 17: 739-746. (Persian).

  • 6.

    Heidegger CP, Treggiari MM, Romand JA. A nationwide survey of intensive care unit discharge practices. Int Care Med 2005; 31: 1676-1682.

  • 7.

    Ebrahimian A, Masoumi G, Jamshidi-Orak R, Seyedin H. Development and psychometric evaluation of the pre-hospital medical emergencies early warning scale. Indian J Crit Care Med 2017; 21: 205-212.

  • 8.

    Ebrahimian AA, Shabanikiya HR, N K. The role of physiological scores for decision making in internal pre-hospital emergency situations. Healthmed 2012; 6: 3612-3615. (Persian).

  • 9.

    Rahimzadeh P, Taghipur Anvari Z, Hassani V. Estimation of mortality rate of patients in surgical intensive care unit of Hazrat-Rasul hospital. Hakim Res J 2008; 11: 22-28. (Persian).

  • 10.

    Asad Zandi M, Karati T, Tadrisi SD, Ebadi A. Estimation of the mortality rate using the APACHE II standard disease severity scoring system in intensive care unit patients. J Crit Care Nurs 2012; 4: 209-214.

  • 11.

    Abbasi M, Momenyan S, Eslamimoqadam F, Sarvi F, Khaki I. Validity and reliability of the macNew heart disease health-related quality of life questionnaire in patients with heart failure: the persian version. Int Cardiovasc Res J 2017; 11: 137-142.

  • 12.

    Schusterschitz N, Joannidis M. Predictive capacity of severity scoring systems in the ICU. Acute Kidney Injury: Karger Publishers; 2007; p: 92-101.

  • 13.

    Ebrahimian A, Fakhr-Movahedi A, Ghasemian-Nik H. Evaluation the mean alteration trends and validation of nine equivalents of nursing manpower use score in medical patients of intensive care units. Koomesh 2017; 19: 458-465. (Persian).

  • 14.

    Asgari M, Salmani M. Intensive Nursing Care in ICU, CCU, and Dialysis Wards. 32 ed. Tehran: Boshra; 2017. (Persian).

  • 15.

    Abbasi M, Negarandeh R, Norouzadeh R, Shojae Mogadam A. The challenges of living with an implantable cardioverter defibrillator: a qualitative study. Iran Red Crescent Med J 2016; 18: 25158. (Persian).

  • 16.

    Vincent JL, Angus DC, Artigas A, Kalil A, Basson BR, Jamal HH, Johnson G, Bernard GR. Effects of drotrecogin alfa (activated) on organ dysfunction in the PROWESS trial. Crit Care Med 2003; 31: 834-840.

  • 17.

    Rapsang AG, Shyam DC. Scoring systems in the intensive care unit: A compendium. Indian J Crit Care Med 2014; 18: 220.

  • 18.

    Grissom CK, Brown SM, Kuttler KG, Boltax JP, Jones J, Jephson AR, et al. A modified sequential organ failure assessment score for critical care triage. Disaster Med Public Health Prep 2010; 4: 277-284.

  • 19.

    Marino PL. The ICU Book. tehran: Nashresalem; 2007; p: 551-554.

  • 20.

    Vincent JL, Moreno R. Clinical review: scoring systems in the critically ill. Crit Care 2010; 14: 1.

  • 21.

    Christian MD, Hawryluck L, Wax RS, Cook T, Lazar NM, Herridge MS, et al. Development of a triage protocol for critical care during an influenza pandemic. CMAJ 2006; 175: 1377-1381.

  • 22.

    Moreno R, Miranda D, Matos R, Fevereiro T. Mortality after discharge from intensive care: the impact of organ system failure and nursing workload use at discharge. Int Care Med 2001; 27: 999-1004.

  • 23.

    Mahjoubipour H, Mohammdi M, Salmani F, Saneei F. Survey of SOFA scoring system on predicting mortality rate and length stay in intensive care unit for patients of Al-Zahra hospital of Isfahan. Med Surg Nurs J 2012; 1: 6-10.

  • 24.

    Babamohamadi H, Ebrahimian A, Paknazar F, Torkamandi H. Clinical effectiveness of modified sequential organ failure assessment scoring system for predicting ICU indexing scores. Tehran Univ Med J 2016; 74: 509-516. (Persian).

  • 25.

    Sendagire C, Lipnick MS, Kizito S, Kruisselbrink R, Obua D, Ejoku J, et al. Feasibility of the modified sequential organ function assessment score in a resource-constrained setting: a prospective observational study. BMC Anesthesiol 2017; 17: 12.

  • 26.

    Sendagire C, Lipnick MS, Kizito S, Kruisselbrink R, Obua D, Ejoku J, et al. Feasibility of the modified sequential organ function assessment score in a resource-constrained setting: a prospective observational study. BMC Anesthesiol 2017; 17: 1-8.

  • 27.

    Halim DA, Murni TW, Redjeki IS. Comparison of Apache II, SOFA, and modified SOFA scores in predicting mortality of surgical patients in intensive care unit at Dr. Hasan Sadikin General Hospital. Crit Care Shock 2009; 12: 157-169.

  • 28.

    Gholipour Baradari A, Sharifi H, Firouzian A, Daneshiyan M, Aarabi M, Talebiyan Kiakolaye Y, et al. Comparison of proposed modified and original sequential organ failure assessment scores in predicting ICU mortality: a prospective, observational, follow-Up study. Scientifica 2016; 2016: 7379325.

  • 29.

    Sendagire C, Lipnick M, Obua D, Nakibuuka J, Ejoku J. Intensive care unit mortality in sub-Saharan Africa: The modified sequential organ function assessment score. J Crit Care 2015; 30: 835.