Skip to main content

Factors influencing physical functional status in intensive care unit survivors two years after discharge



Studies suggest that in patients admitted to intensive care units (ICU), physical functional status (PFS) improves over time, but does not return to the same level as before ICU admission. The goal of this study was to assess physical functional status two years after discharge from an ICU and to determine factors influencing physical status in this population.


The study reviewed all patients admitted to two non-trauma ICUs during a one-year period and included patients with age ≥ 18 yrs, ICU stay ≥ 24 h, and who were alive 24 months after ICU discharge. To assess PFS, Karnofsky Performance Status Scale scores and Lawton-Instrumental Activities of Daily Living (IADL) scores at ICU admission (K-ICU and L-ICU) were compared to the scores at the end of 24 months (K-24mo and L-24mo). Data at 24 months were obtained through telephone interviews.


A total of 1,216 patients were eligible for the study. Twenty-four months after ICU discharge, 499 (41.6%) were alive, agreed to answer the interview, and had all hospital data available. PFS (K-ICU: 86.6 ± 13.8 vs. K-24mo: 77.1 ± 19.6, p < 0.001) and IADL (L-ICU: 27.0 ± 11.7 vs. L-24mo: 22.5 ± 11.5, p < 0.001) declined in patients with medical and unplanned surgical admissions. Most strikingly, the level of dependency increased in neurological patients (K-ICU: 86 ± 12 vs. K-24mo: 64 ± 21, relative risk [RR] 2.6, 95% CI, 1.8–3.6, p < 0.001) and trauma patients (K-ICU: 99 ± 2 vs. K-24mo: 83 ± 21, RR 2.7, 95% CI, 1.6–4.6, p < 0.001). The largest reduction in the ability to perform ADL occurred in neurological patients (L-ICU: 27 ± 7 vs. L-24mo: 15 ± 12, RR 3.3, 95% CI, 2.3–4.6 p < 0.001), trauma patients (L-ICU: 32 ± 0 vs. L-24mo: 25 ± 11, RR 2.8, 95% CI, 1.5–5.1, p < 0.001), patients aged ≥ 65 years (RR 1.4, 95% CI, 1.07–1.86, p = 0.01) and those who received mechanical ventilation for ≥ 8 days (RR 1.48, 95% CI, 1.02–2.15, p = 0.03).


Twenty-four months after ICU discharge, PFS was significantly poorer in patients with neurological injury, trauma, age ≥ 65 tears, and mechanical ventilation ≥ 8 days. Future studies should focus on the relationship between PFS and health-related quality of life in this population.

Peer Review reports


Intensive care unit (ICU) mortality has fallen dramatically since 1980, at a yearly rate of 2.0%. Such reduction can be attributed to changes in the delivery of critical care, including increased capacity, establishment of clinical networks and outreach services, implementation of ventilator care bundles [1], and enhancement of strategies to improve decision-making [24] and communication among staff, patients, and family members [3, 57].

Nevertheless, ICU survivors are more susceptible to chronic illness [3, 814] and increased long-term mortality [1012, 1519]. The cumulative 12-month mortality of ICU survivors has been reported to range between 35% and 43% [20]. Five-year survival following ICU discharge is also lower in these patients when compared to populations matched by age [10, 11, 19], pre-existing diseases [12], and sex [15, 21]; physical function and quality of life may also be compromised as a result of critical illness. Therefore, in addition to short-term outcomes such as hospital mortality, other aspects must be investigated when dealing with life after ICU discharge [22, 23].

The goal of this study was to assess physical functional status two years after discharge from an ICU and to determine factors influencing physical status in this population.



This is a prospective cross-sectional cohort study. The medical records of two no-trauma ICUs were reviewed in search of adult patients with an ICU stay ≥24 between December 1, 2005 and December 1, 2006. Twenty-four months after discharge, all survivors were contacted by phone. All living patients who agreed to participate were included in the study.

Study population

The study included patients from two ICUs: a 31-bed, closed ICU in a private hospital; and an 18-bed, open ICU in a university hospital. Patients with ICU stay < 24 hours were excluded. If the patient was readmitted to the ICU during the year in review, only data relating to the first admission were considered. The number of readmissions was measured only for sample characterization.

Assessment of PFS

PFS was assessed by the Karnofsky Performance Status Scale, which emphasizes physical performance and dependency. As a means to monitor the results obtained with the Karnosfky scale (since it is expected that poor physical status will entail decreased ability to perform ADLs), the Lawton-Instrumental Activities of Daily Living (IADL) Scale [2326] was also applied. Karnofsky and Lawton scores were determined during ICU admission (K-ICU and L-ICU) and after 24 months (K-24mo and L-24mo).

Data collection

Daily records made by ICU physicians and fellows during the admission were reviewed. The following data were collected: baseline characteristics, age, gender, body mass index (BMI), pre-existing diseases, type of admission (medical, planned surgery or unplanned surgery), acute physiologic and chronic health evaluation (APACHE II) score at 1st ICU-day, and diagnosis on ICU admission. K-ICU score, L-ICU score, data on respiratory, cardiovascular, and dialysis treatments, diagnosis of sepsis, days on mechanical ventilation (MV), ICU-length of stay (LOS), sequential organ failure assessment (SOFA), and therapeutic intervention score (TISS) were also retrieved from the medical charts.

Two years after ICU discharge, patients were contacted via telephone. If the patient was unable to answer the telephone interview, the questions were answered by a proxy, if possible the same person providing information during the ICU admission. Proxies were defined as people with daily contact with the patient since before admission to the ICU.

The interviews were performed by one physician and six nurses. They were trained to use the study instruments and participated in a pilot study with 100 patients [6]. Periodic evaluations were performed to determine inter-rater reliability and to make sure that the quality of interviews remained similar/high among data collectors.

In addition to the Karnosfky and Lawton-IADL scales, the telephone interview focused on the patient’s self-perception about their quality of life (a subjective question to test the reliability of the scales used).

Data classification

Changes in physical performance (K-ICU vs. K-24mo) and ability to perform daily activities (L-ICU vs. L-24mo) were categorized as: (a) functional improvement – increase in at least one of the scores over 24 months; (b) preserved functional status – no change in scores; (c) moderate functional impairment – reduction of up to 29 points in K-24mo vs. K-ICU and reduction of up to 11 points in L-24mo vs. L-ICU; and (d) major functional impairment – reduction ≥ 30 points in K-24mo vs. K-ICU, and ≥ 12 points in L-24mo vs. L-ICU.

As a final question, patients were asked to rate their PFS at 24 months as compared to PFS during ICU-stay (worse, equal, or better).


The study was approved by the ethics committees at Hospital Moinhos de Vento and Complexo Hospitalar da Santa Casa de Porto Alegre. Oral consent was provided at the start of the telephone interview.

Statistical analysis

Categorical variables were reported as percentages, and between-group comparisons were made by chi-square test. Continuous variables were reported as means ± SD when variables were normally distributed or as medians and interquartile [P25-P75] range when variables were not normally distributed. Differences between group means were compared by Student t test for normally distributed variables. Chi-square tests or Fisher exact test were used to compare group medians for non-normally distributed variables.

A Kaplan-Meier curve was built to show patient survival. Adjusted residuals were used to evaluate associations between categorical variables and outcome. A paired Student t test for quantitative variables was used to evaluate pre and post ICU scores. ANOVA followed by the Tukey test evaluated the association of APACHE II with four categories of the Karnofsky and Lawton-ADL indices. To examine the association of the SOFA score with the scale categories, the Kruskal-Wallis test was used, followed by the Tukey test. The analysis was adjusted for BMI, days on MV, type of ICU admission, age, pre-existing diseases, Glasgow coma score, and SOFA. In multivariate analyses, the predictors of functional status decline were expressed as relative risk (RR).

The analyses were performed with SPSS 16.0 software (SPSS Inc., Chicago, IL, USA), and level of significance was set at p <0.05.


Study population

We identified 1,216 patients with ICU stay ≥ 48 hours. Of these, 288 (23.7%) died in the ICU. Phone calls were made to 928 ICU survivors. Thirty-five out of 1,216 patients (2.9%) were not located (lost to follow-up), 34 (2.8%) refused to participate, and 353 had died at the time the call was made: 733 (60.3%) were alive after 6 months, 670 (55.1%) after 12 months, and 601 (49.4%) were alive after 18 months of admission. Five hundred and six patients (41.6%) entered the study (Figure 1 and Figure 2). Hospital data were missing in 7 patients and therefore the results refer to 499 patients with complete hospital records who agreed to participate.

Figure 1
figure 1

Enrolment scheme.

Figure 2
figure 2

Kaplan-Meier survival curves.

One hundred and eighty-five interviews were answered by the patients themselves, and 314 interviews were answered by proxies (179 [57%] were sons and daughters, 88 [28%] were spouses, and 47 [15%] were caregivers). The ICU and 24-month interviews were answered by the same person in 318 (63%) cases. Therefore, in 181 admissions, the person providing information in the ICU was not the same as the person providing information at 24 months.

The clinical characteristics of the population interviewed 24 months after ICU discharge were as follows: mean APACHE II score of 12.5 ± 7.4, planned surgery (39.9%) as the most frequent type of ICU admission, and predominance of males (51.2%). Differences between patients with planned surgical ICU admission vs. medical plus unplanned surgical ICU admission are shown in Table 1.

Table 1 Characteristics of ICU survivors two years after discharge

Determinants of physical functional status 24 months after ICU discharge2

Both Karnofsky and Lawton scores declined in medical and unplanned surgical patients admitted to the ICU 24 months after discharge (Figure 3B).

Figure 3
figure 3

Karnofsky and Lawton scores. A) Comparison between mean K scores (K-ICU vs. K-24mo) and B) mean L scores (L-ICU vs. L-24mo) in medical and unplanned surgical patients and in planned surgical patients admitted to the ICU.

The greatest increase in the level of dependency was observed in neurological patients (K-ICU: 86 ± 12 vs. K-24mo: 64 ± 21, RR 2.6, 95% CI, 1.8–3.6, p < 0.001) and trauma patients (K-ICU: 99 ± 2 vs. K-24mo: 83 ± 21, RR 2.7, 95% CI, 1.6–4.6, p < 0.001) (Table 2 and Table 3). The largest reduction in the ability to perform ADL occurred in neurological patients (L-ICU: 27 ± 7 vs. L-24mo: 15 ± 12, RR 3.3, 95% CI, 2.3–4.6 p < 0.001), trauma patients (L-ICU: 32 ± 0 vs. L-24mo: 25 ± 11, RR 2.8, 95% CI, 1.5–5.1, p < 0.001), age ≥ 65 years (RR 1.4, 95% CI, 1.07–1.86, p = 0.01) and patients receiving MV for more than eight days (RR 1.48, 95% CI, 1.02–2.15, p = 0.03) (Table 2 and Table 3).

Table 2 Percentage of medical and unplanned surgical patients who had their ability to perform activities of daily life affected after ICU admission according to the Karnofsky and Lawton-instrumental activities of daily living scales
Table 3 Probability of decrease in physical functional score 24 months after ICU discharge

Self-perception of physical functional status

The decline in PFS subjectively perceived by patients was in agreement with the reduction in PFS indices measured. One hundred and fifty-six patients or proxies perceived functional status as worse than during the ICU admission. Of the patients who reported feeling worse, 83% (p < 0.001) had moderate to severe functional impairment by Karnofsky index, and 76% (p < 0.001) by Lawton-IADL index (Table 2).


In the present study with ICU survivors interviewed 24 months after discharge, we observed a decline in physical functional status as measured by the Karnofsky and Lawton-IADL scales, especially in patients with neurological diagnoses or trauma, age ≥ 65 years or 8 days or more on mechanical ventilation.

Nearly all patients with chronic critical illness leave the hospital with profound impairment of physical function, cognitive status, or both, requiring institutional care [27, 28]. A systematic review of the literature showed that functional impairment is closely associated with age and disease severity [29]. After ICU discharge, elderly patients have been observed to require more assistance than younger counterparts to perform tasks such as using public transportation, shopping, and doing the laundry [3, 30]. Our study confirmed this loss of ability to perform independently in patients aged ≥ 65 years.

Conversely, whereas elderly patients often had good PFS or perceived their PSF as better than before critical illness, trauma patients, who were usually healthy and young before ICU admission [23], may experience a substantial decline in PFS after the trauma, both in physical and psychosocial dimensions [31]. Delusional memories, depression [32], and the inability to return to work negatively [33] influenced their perceived quality of life. Our study confirmed that trauma decreases the ability to perform activities independently by 2.8 times, and increases the level of dependency by 2.7 times.

The need for prolonged intensive care may also affect prognosis in terms of the ability to perform ADL [34]; previous articles [35, 36] have reported that the inability to independently perform activities of daily living is a major factor affecting health-related quality of life (HRQoL) in ICU survivors. In that sense, prolonged MV appears to reduce life quality and expectancy in the long term [34, 37, 38]. Our study demonstrated that the use of MV for 8 or more days reduced the ability to perform ADL by 1.48 times. According to some authors, 5% to 20% of ICU patients receive MV, and 25% require MV for more than seven days [39]. In our study, 29.5% required MV and 21.8% of these received ventilatory support for more than eight days.

In our paper, patients with medical and unplanned surgical admissions had decreased PFS; however, this finding did not necessarily imply a reduction in the patients’ actual ability to perform ADLs. Orwelius et al. [40, 41] suggested that pre-existing disease is the most important factor for long-term HRQoL after critical illness, and not the factors related to ICU-stay. This was not true for our patients, in whom the presence of pre-existing disease had less impact on PFS than prolonged MV and type of ICU admission (neurological and trauma patients).

Many studies refer to quality of life instead of functional status. HRQoL is a broad concept, which encompasses the ability to perform ADL [24]. In this study, two scales were used in the assessment of PFS, so as to increase the reliability of our results. The Karnofsky index (emphasizing the physical performance and dependency) was chosen because it covers more general aspects of the ability to perform ADL and because it is easy to interpret. Functional impairment has a direct impact on HRQoL because it limits autonomy and physical and mental abilities [13]. Future studies should also address other issues in relation to PFS, such as cognitive impairment, sleep disturbances, post-traumatic stress disorder, the rehabilitation process, employment status, and cultural and payment differences, can influence quality of life in a less tangible way than, for example, physical impairments after major trauma.

Studies assessing HRQoL after ICU suggest that ICU patients do not return to the same level of health that they had before they fell ill [23, 29], and that their HRQoL is lower than that of the general population, at least in the early years [3, 9, 13, 15, 17, 18, 20]. According to Oeyen et al. [23], a follow-up of 12 or 24 months is probably the best to capture changes that have a negative impact quality of life after intensive care.

The strengths of present study include a large sample (n = 499), the fact that possible seasonal variations were accounted for (all admissions in one-year), and a long follow-up period (two-years), in addition to the combined use of two scales to increase the reliability of results and a low rate of individuals lost to follow-up (2.9%). However, some limitations must also be addressed: (a) the interviews were conducted by phone and not face-to-face with the patients. However, 26 of the 53 authors cited by Oeyen et al. [23] also conducted telephone interviews; (b) only physical functional status, and not HRQoL, was measured; (c) the fact that some interviews were answered by proxies. However, the literature varies concerning the effect of using proxies. Some authors suggest that proxies (next-of-kin) may underestimate quality of life in their relatives [18, 23]; (d) finally, the present population included many patients with cardiovascular problems and elective surgery, that is, a group of not very sick patients that may not reflect the usual critical care group of patients. Therefore, the present results may not allow generalization.


Twenty-four months after ICU discharge, PFS was significantly poorer in patients with neurological injury, trauma, age ≥ 65 tears, and mechanical ventilation > 8 days. Future studies should also focus on the relationship between PFS and HRQoL in this population.



Activity daily living


Acute physiological and chronic health evaluation


Acute respiratory distress syndrome


American thoracic society


Body mass index


Chronic obstructive pulmonary disease


Karnofsky index


Glasgow outcome score


Heath-related quality of life


Intensive care medicine


Lawton index


Length of stay


Mechanical ventilation


New York Heart Association


Physical functional status


Relative risk


Sequential organ failure assessment


Therapeutic intervention scoring system.


  1. Hutchings A, Durand MA, Grieve R, Harrison D, Rowan K, Green J, Cairns J, Black N: Evaluation of modernisation of adult critical care services in England: time series and cost effectiveness analysis. BMJ. 2009, 339: b4353-10.1136/bmj.b4353.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Cook D, Rocker G, Marshall J, Griffith L, McDonald E, Guyatt G: Levels of care in the intensive care unit: a research program. Am J Crit Care. 2006, 15: 269-279.

    PubMed  Google Scholar 

  3. Azoulay E, Pochard F, Kentish-Barnes N, Chevret S, Aboab J, Adrie C, Annane D, Bleichner G, Bollaert PE, Darmon M, et al: Risk of post-traumatic stress symptoms in family members of intensive care unit patients. Am J Respir Crit Care Med. 2005, 171: 987-994. 10.1164/rccm.200409-1295OC.

    Article  PubMed  Google Scholar 

  4. Tian J, Kaufman DA, Zarich S, Chan PS, Ong P, Amoateng-Adjepong Y, Manthous CA: Outcomes of critically ill patients who received cardiopulmonary resuscitation. Am J Respir Crit Care Med. 2010, 182: 501-506. 10.1164/rccm.200910-1639OC.

    Article  PubMed  Google Scholar 

  5. Reader TW, Flin R, Mearns K, Cuthbertson BH: Interdisciplinary communication in the intensive care unit. Br J Anaesth. 2007, 98: 347-352. 10.1093/bja/ael372.

    Article  CAS  PubMed  Google Scholar 

  6. Cabral CR, Teixeira C, De Oliveira RP, Hass JS, Azzolin KO: Mortality assessment and quality of life two years after discharge from the ICU: preliminary data from a prospective cohort. Rev Bras Ter Intensiva. 2009, 21: 18-24.

    Article  Google Scholar 

  7. Teixeira C, Teixeira TML, Brodt SFM, Oliveira RP, Dexheimer Neto FL, Roehrig C, Oliveira ES: Appropriate medical professionals communication reduces intensive care unit mortality. Rev Bras Ter Intensiva. 2010, 22: 112-117. 10.1590/S0103-507X2010000200003.

    Article  PubMed  Google Scholar 

  8. Hennessy D, Juzwishin K, Yergens D, Noseworthy T, Doig C: Outcomes of elderly survivors of intensive care: a review of the literature. Chest. 2005, 1764: 1774-

    Google Scholar 

  9. Orme J, Romney JS, Hopkins RO, Pope D, Chan KJ, Thomsen G, Crapo RO, Weaver LK: Pulmonary function and health-related quality of life in survivors of acute respiratory distress syndrome. Am J Respir Crit Care Med. 2003, 167: 690-694. 10.1164/rccm.200206-542OC.

    Article  PubMed  Google Scholar 

  10. De Rooij SE, Abu-Hanna A, Levi M, De Jonge E: Factors that predict outcome of intensive care treatment in very elderly patients: a review. Crit Care. 2005, 9: R307-R314. 10.1186/cc3536.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Kaarlola A, Tallgren M, Pettila V: Long-term survival, quality of life, and quality-adjusted life-years among critically ill elderly patients. Crit Care Med. 2006, 34: 2120-2126. 10.1097/01.CCM.0000227656.31911.2E.

    Article  PubMed  Google Scholar 

  12. Rivera-Fernandez R, Navarrete-Navarro P, Fernandez-Mondejar E, Rodriguez-Elvira M, Guerrero-Lopez F, Vazquez-Mata G: Six-year mortality and quality of life in critically ill patients with chronic obstructive pulmonary disease. Crit Care Med. 2006, 34: 2317-2324. 10.1097/01.CCM.0000233859.01815.38.

    Article  PubMed  Google Scholar 

  13. Desai SV, Law TJ, Needham DM: Long-term complications of critical care. Crit Care Med. 2011, 39: 371-379. 10.1097/CCM.0b013e3181fd66e5.

    Article  PubMed  Google Scholar 

  14. Flaatten H: Mental and physical disorders after ICU discharge. Curr Opin Crit Care. 2010, 16: 510-515. 10.1097/MCC.0b013e32833cc90b.

    Article  PubMed  Google Scholar 

  15. Fildissis G, Zidianakis V, Tsigou E, Koulenti D, Katostaras T, Economou A, Baltopoulos G: Quality of life outcome of critical care survivors eighteen months after discharge from intensive care. Croat Med J. 2007, 48: 814-821. 10.3325/cmj.2007.6.814.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Bagshaw SM, Mortis G, Doig CJ, Godinez-Luna T, Fick GH, Laupland KB: One-year mortality in critically ill patients by severity of kidney dysfunction: a population-based assessment. Am J Kidney Dis. 2006, 48: 402-409. 10.1053/j.ajkd.2006.06.002.

    Article  PubMed  Google Scholar 

  17. Cuthbertson BH, Hull A, Strachan M, Scott J: Post-traumatic stress disorder after critical illness requiring general intensive care. Intensive Care Med. 2004, 30: 450-455. 10.1007/s00134-003-2004-8.

    Article  PubMed  Google Scholar 

  18. Cuthbertson BH, Roughton S, Jenkinson D, Maclennan G, Vale L: Quality of life in the five years after intensive care: a cohort study. Crit Care. 2010, 14: R6-10.1186/cc8848.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Hamel MB, Davis RB, Teno JM, Knaus WA, Lynn J, Harrell F, Galanos AN, Wu AW, Phillips RS: Older age, aggressiveness of care, and survival for seriously ill, hospitalized adults. SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments. Ann Intern Med. 1999, 131: 721-728.

    Article  CAS  PubMed  Google Scholar 

  20. Eddleston JM, White P, Guthrie E: Survival, morbidity, and quality of life after discharge from intensive care. Crit Care Med. 2000, 28: 2293-2299.

    Article  CAS  PubMed  Google Scholar 

  21. Wright JC, Plenderleith L, Ridley SA: Long-term survival following intensive care: subgroup analysis and comparison with the general population. Anaesthesia. 2003, 58: 637-642. 10.1046/j.1365-2044.2003.03205.x.

    Article  CAS  PubMed  Google Scholar 

  22. Angus DC, Carlet J: Surviving intensive care: a report from the 2002 Brussels Roundtable. Intensive Care Med. 2003, 29: 368-377.

    Article  PubMed  Google Scholar 

  23. Oeyen SG, Vandijck DM, Benoit DD, Annemans L, Decruyenaere JM: Quality of life after intensive care: a systematic review of the literature. Crit Care Med. 2010, 38: 2386-2400. 10.1097/CCM.0b013e3181f3dec5.

    Article  PubMed  Google Scholar 

  24. Hayes JA, Black NA, Jenkinson C, Young JD, Rowan KM, Daly K, Ridley S: Outcome measures for adult critical care: a systematic review. Health Technol Assess. 2000, 4: 1-111.

    CAS  PubMed  Google Scholar 

  25. Karnofsky DA, Abelmann WH, Craver LF, Burchenal JH: The use of nitrogen mustards in the palliative treatment of carcinoma. Cancer. 1948, 1: 634-656. 10.1002/1097-0142(194811)1:4<634::AID-CNCR2820010410>3.0.CO;2-L.

    Article  Google Scholar 

  26. Lawton M, Brody E: Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist. 1969, 9: 179-186. 10.1093/geront/9.3_Part_1.179.

    Article  CAS  PubMed  Google Scholar 

  27. Carson SS, Bach PB, Brzozowski L, Leff A: Outcomes after long-term acute care. An analysis of 133 mechanically ventilated patients. Am J Respir Crit Care Med. 1999, 159: 1568-1573. 10.1164/ajrccm.159.5.9809002.

    Article  CAS  PubMed  Google Scholar 

  28. Rimachi R, Vincent JL, Brimioulle S: Survival and quality of life after prolonged intensive care unit stay. Anaesth Intensive Care. 2007, 35: 62-67.

    CAS  PubMed  Google Scholar 

  29. Dowdy DW, Eid MP, Sedrakyan A, Mendez-Tellez PA, Pronovost PJ, Herridge MS, Needham DM: Quality of life in adult survivors of critical illness: a systematic review of the literature. Intensive Care Med. 2005, 31: 611-620. 10.1007/s00134-005-2592-6.

    Article  PubMed  Google Scholar 

  30. Vest MT, Murphy TE, Araujo KL, Pisani MA: Disability in activities of daily living, depression, and quality of life among older medical ICU survivors: a prospective cohort study. Health Qual Life Outcomes. 2011, 9: 9-10.1186/1477-7525-9-9.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Vles WJ, Steyerberg EW, Essink-Bot ML, Van Beeck EF, Meeuwis JD, Leenen LP: Prevalence and determinants of disabilities and return to work after major trauma. J Trauma. 2005, 58: 126-135. 10.1097/01.TA.0000112342.40296.1F.

    Article  PubMed  Google Scholar 

  32. Bombardier CH, Fann JR, Temkin NR, Esselman PC, Barber J, Dikmen SS: Rates of major depressive disorder and clinical outcomes following traumatic brain injury. JAMA. 2010, 303: 1938-1945. 10.1001/jama.2010.599.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Ulvik A, Kvale R, Wentzel-Larsen T, Flaatten H: Quality of life 2–7 years after major trauma. Acta Anaesthesiol Scand. 2008, 52: 195-201. 10.1111/j.1399-6576.2007.01533.x.

    Article  CAS  PubMed  Google Scholar 

  34. Combes A, Costa MA, Trouillet JL, Baudot J, Mokhtari M, Gibert C, Chastre J: Morbidity, mortality, and quality-of-life outcomes of patients requiring > or = 14 days of mechanical ventilation. Crit Care Med. 2003, 31: 1373-1381. 10.1097/01.CCM.0000065188.87029.C3.

    Article  PubMed  Google Scholar 

  35. Andersen CK, Wittrup-Jensen KU, Lolk A, Andersen K, Kragh-Sorensen P: Ability to perform activities of daily living is the main factor affecting quality of life in patients with dementia. Health Qual Life Outcomes. 2004, 2: 52-10.1186/1477-7525-2-52.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Herridge MS, Tansey CM, Matte A, Tomlinson G, Diaz-Granados N, Cooper A, Guest CB, Mazer CD, Mehta S, Stewart TE, et al: Functional disability 5 years after acute respiratory distress syndrome. N Engl J Med. 2011, 364: 1293-1304. 10.1056/NEJMoa1011802.

    Article  CAS  PubMed  Google Scholar 

  37. Lipsett PA, Swoboda SM, Dickerson J, Ylitalo M, Gordon T, Breslow M, Campbell K, Dorman T, Pronovost P, Rosenfeld B: Survival and functional outcome after prolonged intensive care unit stay. Ann Surg. 2000, 231: 262-268. 10.1097/00000658-200002000-00016.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Tonnelier A, Tonnelier JM, Nowak E, Gut-Gobert C, Prat G, Renault A, Boles JM, L’Her E: Clinical relevance of classification according to weaning difficulty. Respir Care. 2011, 56: 583-590. 10.4187/respcare.00842.

    Article  PubMed  Google Scholar 

  39. Esteban A, Anzueto A, Frutos F, Alia I, Brochard L, Stewart TE, Benito S, Epstein SK, Apezteguia C, Nightingale P, et al: Characteristics and outcomes in adult patients receiving mechanical ventilation: a 28-day international study. JAMA. 2002, 287: 345-355. 10.1001/jama.287.3.345.

    Article  PubMed  Google Scholar 

  40. Orwelius L, Nordlund A, Nordlund P, Edell-Gustafsson U, Sjoberg F: Prevalence of sleep disturbances and long-term reduced health-related quality of life after critical care: a prospective multicenter cohort study. Crit Care. 2008, 12: R97-10.1186/cc6973.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Orwelius L, Nordlund A, Nordlund P, Simonsson E, Backman C, Samuelsson A, Sjoberg F: Pre-existing disease: the most important factor for health related quality of life long-term after critical illness: a prospective, longitudinal, multicentre trial. Crit Care. 2010, 14: R67-10.1186/cc8967.

    Article  PubMed  PubMed Central  Google Scholar 

Pre-publication history

Download references


The authors would like to thank the Universidade Federal do Rio Grande do Sul (UFRGS), Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Hospital Moinhos de Vento (HMV), and Complexo Hospitalar da Santa Casa (ISCMPA), all in Porto Alegre, Brazil.

A special thanks to Dr. Nilton Brandão da Silva (HMV), and Jorge Amilton Hoher (ISCMPA), who allowed and encouraged this study.

The study was carried at the Hospital Moinhos de Vento and at the Complexo Hospitalar da Santa Casa, Porto Alegre, Brazil.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Jaqueline S Haas.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

JS Haas and C Teixeira reviewed the literature and wrote the manuscript. JS Haas, C Teixeira, CR Cabral, AHD Fleig, APR Freitas, EC Treptow, and MIB Rizzotto conducted the telephone interview. AS Machado, MP Hetzel, DM Dallegrave, PC Balzano, and RP Oliveira collected the data base of ICU. A Savi and SRR Vieira significantly contributed for the manuscript. JS Haas performed the statistical analysis. JS Haas and C Teixeira assure the accuracy of the presented data. All authors have read and approved the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Authors’ original file for figure 2

Authors’ original file for figure 3

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Haas, J.S., Teixeira, C., Cabral, C.R. et al. Factors influencing physical functional status in intensive care unit survivors two years after discharge. BMC Anesthesiol 13, 11 (2013).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: