Using the EuroQol-5D to measure changes in quality of life 12 months after discharge from an intensive care unit

Badia, X.; Diaz-Prieto, A.; Gorriz, M.; Herdman, M.; Torrado, H.; Farrero, E.; Cavanilles, J.
December 2001
Intensive Care Medicine;Dec2001, Vol. 27 Issue 12, p1901
Academic Journal
Objective: To compare changes in the health-related quality of life (HRQOL) of critical care patients by diagnostic category. Design: Prospective, cohort study. HRQOL assessed 3 months before admission and 1 year after discharge from the intensive care unit (ICU). Patients were classified as: trauma injury (TI), scheduled surgery (SS), unscheduled surgery (US), and other medical conditions (MC). Setting: Department of Intensive Medicine, University Hospital of Bellvitge, Barcelona, Spain. Patients: Three hundred and thirty-four patients admitted to ICU from October 1994 to June 1995 (62 TI patients, 181 SS patients, 19 US patients, and 72 MC patients). Interventions: Surgical and medical procedures. Measurements and results: Changes in HRQOL varied considerably between diagnostic categories, with TI patients having significantly worse HRQOL one year after discharge from the ICU compared to 3 months prior to admission [change in median EQ Visual Analogue Scale (EQ-VAS) score from 100 to 65, P<0.001], and SS patients reporting improved HRQOL (change in median EQ-VAS scores from 60 to 75, P<0.001). Slight deterioration was observed in the other two diagnostic categories. Twelve months after discharge, the EQ dimension in which the largest proportion of patients in all groups reported problems was usual activities (47% of SS and US patients; 69% of TI patients). Using proxy scores at baseline or follow-up had little effect on results. Conclusions: The degree and direction of change in ICU patients' HRQOL 1 year after discharge depends considerably on diagnostic category. Proxy responses can be reliably used with the EQ-5D when measuring change in HRQOL.


Related Articles

  • Quality of life before intensive care admission: agreement between patient and relative assessment. Capuzzo, M.; Grasselli, C.; Carrer, S.; Gritti, G.; Alvisi, R. // Intensive Care Medicine;Sep2000, Vol. 26 Issue 9, p1288 

    Objective: To assess the agreement between patients and relatives concerning the formers' quality of life (QOL) before intensive care unit (ICU) admission.Design: Prospective study involving direct interviews of patients and relatives during ICU stay.Setting:...

  • Dynamic Changes in Amino Acid Concentration Profiles in Patients with Sepsis. Su, Longxiang; Li, Hua; Xie, Aimei; Liu, Dan; Rao, Weiqiao; Lan, Liping; Li, Xuan; Li, Fang; Xiao, Kun; Wang, Huijuan; Yan, Peng; Li, Xin; Xie, Lixin // PLoS ONE;Apr2015, Vol. 10 Issue 4, p1 

    Objectives: The goal of this work was to explore the dynamic concentration profiles of 42 amino acids and the significance of these profiles in relation to sepsis, with the aim of providing guidance for clinical therapies. Methods: Thirty-five critically ill patients with sepsis were included....

  • SAPS 3—From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission. Moreno, Rui; Metnitz, Philipp; Almeida, Eduardo; Jordan, Barbara; Bauer, Peter; Campos, Ricardo; Iapichino, Gaetano; Edbrooke, David; Capuzzo, Maurizia; Le Gall, Jean-Roger // Intensive Care Medicine;Oct2005, Vol. 31 Issue 10, p1345 

    Objective: To develop a model to assess severity of illness and predict vital status at hospital discharge based on ICU admission data. Design: Prospective multicentre, multinational cohort study. Patients and setting: A total of 16,784 patients consecutively admitted to 303 intensive care units...

  • Deciding intensive care unit-admission for critically ill cancer patients. Thiery, Guillaume; Darmon, Michael; Azoulay, Elie // Indian Journal of Critical Care Medicine;Jan-Mar2007, Vol. 11 Issue 1, p12 

    Over the last 15 years, the management of critically ill cancer patients requiring intensive care unit admission has substantially changed. High mortality rates (75–85%) were reported 10–20 years ago in cancer patients requiring life sustaining treatments. Because of these high...

  • Prognostic factors in cancer patients in the intensive care unit. Soares, Márcio; Salluh, Jorge I. F. // Indian Journal of Critical Care Medicine;Jan-Mar2007, Vol. 11 Issue 1, p19 

    Intensive care has become important for the treatment of patients with cancer. However, the prognosis of these patients is considered poor a priori and decisions to admit a patient with cancer to the intensive care unit (ICU) are still source of controversy between oncologists and intensivists....

  • The Multiple Organ Dysfunction Score (MODS) versus the Sequential Organ Failure Assessment (SOFA) score in outcome prediction. Peres Bota, Daliana; Melot, Christian; Lopes Ferreira, Flavio; Nguyen Ba, Vinh; Vincent, Jean-Louis // Intensive Care Medicine;Nov2002, Vol. 28 Issue 11, p1619 

    Objective. To compare outcome prediction using the Multiple Organ Dysfunction Score (MODS) and the Sequential Organ Failure Assessment (SOFA), two of the systems most commonly used to evaluate organ dysfunction in the intensive care unit (ICU). Design. Prospective, observational study. Setting....

  • Health-related quality of life as a prognostic factor of survival in critically ill patients. Iribarren-Diarasarri, Sebastián; Aizpuru-Barandiaran, Felipe; Muñoz-Martínez, Tomás; Loma-Osorio, Ángel; Hernández-López, Marianela; Ruiz-Zorrilla, José; Castillo-Arenal, Carlos; Dudagoitia-Otaolea, Juan; Martínez-Alutiz, Sergio; Vinuesa-Lozano, Cristina // Intensive Care Medicine;May2009, Vol. 35 Issue 5, p833 

    To evaluate whether health-related quality of life prior to admission into an intensive care unit (ICU) is a prognostic factor of hospital and 1 year mortality. Prospective cohort study. Fourteen-bed medical–surgical ICU. A total of 377 patients admitted to the ICU for more than 24 h with...

  • Changes in the profile of paediatric intensive care associated with centralisation. Pearson, G.; Barry, P.; Timmins, C.; Stickley, J.; Hocking, M. // Intensive Care Medicine;Oct2001, Vol. 27 Issue 10, p1670 

    Objectives: To compare intensive care admissions from a defined population of children in 1991 and 1999, during a period of organisational change and centralisation of paediatric intensive care. Design: Two 12-month population-based audits were compared. Data were collected from hospitals in...

  • The ETHICA study (part I): elderly's thoughts about intensive care unit admission for life-sustaining treatments. Philippart, F.; Vesin, A.; Bruel, C.; Kpodji, A.; Durand-Gasselin, B.; Garçon, P.; Levy-Soussan, M.; Jagot, J.; Calvo-Verjat, N.; Timsit, J.; Misset, B.; Garrouste-Orgeas, M. // Intensive Care Medicine;Sep2013, Vol. 39 Issue 9, p1565 

    Purpose: To assess preferences among individuals aged ≥80 years for a future hypothetical critical illness requiring life-sustaining treatments. Methods: Observational cohort study of consecutive community-dwelling elderly individuals previously hospitalised in medical or surgical wards...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics