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Cost analysis of the very elderly admitted to intensive care units

Critical Care volume 21, Article number: 109 (2017) Cite this article

An Editorial to this article was published on 04 July 2017

Abstract

Background

Very elderly patients are often admitted to intensive care units (ICUs) despite poor outcomes and frequent preference to avoid unnecessary prolongation of life. We sought to determine the cost of ICU admission for the very elderly and the factors influencing this cost.

Methods

This prospective, observational cohort study included patients ≥80 years old admitted to 22 Canadian ICUs from 2009 to 2013. A subset of consenting individuals comprised a longitudinal cohort followed over 12 months. Costs were calculated from ICU length of stay and unit costs for ICU admission from a Canadian academic hospital. A generalized linear model was employed to identify cost-predictive variables.

Results

In total, 1671 patients were included; 610 were enrolled in the longitudinal cohort. The average age was 85 years; median ICU length of stay was 4 days. Mortality was 35% (585/1671) in hospital and 41% (253/610) at 12 months. The average cost of ICU admission per patient was $31,679 ± 65,867. Estimated ICU costs were $48,744 per survivor to discharge and $61,783 per survivor at 1 year. For both decedents and survivors, preference for comfort measures over life support was an independent predictor for lower cost (P < 0.01).

Conclusions

Considering the poor clinical outcomes, and that many ICU admissions may be undesired by very elderly patients, ICU costs in this population are substantial. Our finding that a preference for comfort care predicted a lower cost independent of mortality reinforces the importance of early goals of care discussions to avoid both undesired and potentially non-beneficial interventions, consequently reducing costs.

Trial registration

ClinicalTrials.gov, NCT01293708. Registered on 10 February 2011.

Background

Very elderly (aged 80 or older) patients are being admitted to intensive care units (ICUs) in increasing numbers [1,2,3]. More concerning is that these admissions may occur despite the preference of many elderly patients to avoid unnecessary prolongation of life by life-sustaining therapy [4,5,6]. In spite of this, more than 70% of seriously ill hospitalized elderly patients do not discuss these preferences with their healthcare providers [6], which may result in provision of life-sustaining therapy even when patients prefer care focused on improved comfort and quality of life [7,8,9,10].

In our prospective, observational cohort of very elderly patients admitted to ICUs in Canada, not only was hospital and 12-month mortality high [11], but surviving individuals had a low probability of returning to baseline physical function [12]. Other studies have corroborated the findings of poor short- and long-term outcomes in this patient population [13,14,15,16]. These observations raised important questions about the appropriateness of both admission to and long-term treatment in the ICU for this population.

There is presently unprecedented strain on the healthcare system in the face of the baby boomer effect and increases in life expectancy [17], and critical care remains amongst the most expensive of healthcare interventions, consuming approximately 1% of the GDP [18, 19]. These costs continue to rise, and are expected to increase further as the incidence of critical illness requiring ICU admission is projected to increase by 80% by 2026 [19, 20]. There are significant economic implications surrounding admission of very elderly patients to the ICU, as the costs of providing prolonged and potentially non-beneficial care in this population are likely considerable. While ICU costs in elderly patients have been reported in smaller retrospective and prospective cohorts, estimates have ranged widely depending on the type of cost presented and the method of cost estimation [21,22,23,24,25].

The primary objective of this study was to determine contemporary costs of care for very elderly patients admitted to ICUs using our large prospective Canadian cohort. In addition, we sought to determine potentially predictive patient and family factors influencing cost of care.

Methods

Study design and population

As described in previous reports [11, 12], the data source for this study was a prospective cohort of patients 80 years of age or older admitted to 22 Canadian ICUs between September 2009 and January 2013. Briefly, all eligible patients whose hospital records were abstracted, based on research coordinator availability, were included in an unselected “hospital cohort”, which captured patient demographics and clinical outcomes for the index hospital admission. A subset of the hospital cohort from whom written informed consent was obtained (from patients and/or their primary caregivers) comprised a “longitudinal cohort” followed over 12 months, which described 12-month mortality and additional patient features, including family preferences for life-sustaining therapy. For this cohort, we excluded patients who remained in the ICU for less than 24 h, as well as non-residents of Canada and patients who did not have available family members or whose family members spoke neither English nor French. All those in the hospital cohort not fulfilling these exclusion criteria were approached for consent for the longitudinal study. Written informed consent was obtained from patients and/or their legal representatives before enrolment, and subsequently from competent, surviving patients for the follow-up assessment. Eligible family members (which included partners, significant others, and close friends) provided the most unpaid care to the patient, visited the patient at least once during ICU admission, and were at least 18 years of age. Local Research Ethics Board approval was obtained from all participating institutions.

Outcome measures and explanatory variables

The primary outcome measure of this study was the ICU cost, which was calculated by multiplying total ICU length of stay for each patient by an average daily ICU cost per patient in 2012/13, derived using the case-costing system within the Ottawa Hospital Data Warehouse. This case-costing system estimates total daily direct and indirect costs by taking the sum of costs of each functional centre, such as medications and laboratory tests, incurred by each patient for each ICU day. The system is based on a standardized costing methodology developed by the Ontario Case Costing Initiative according to the Canadian Institute for Health Information Management Information Systems guidelines [26]. The average daily ICU cost per patient was obtained by dividing total ICU costs incurred between April 2012 and March 2013 by the total number of ICU patient days during the same period.

To estimate adjusted hospital costs, we included the following variables in our regression analyses: age, sex, primary ICU admitting diagnosis, admission type (medical, surgical elective, surgical emergency), Charlson comorbidity index [27], Acute Physiology and Chronic Health Evaluation (APACHE) II score [28], and Sequential Organ Failure Assessment (SOFA) score at admission [29]. Additional variables studied for the longitudinal cohort included patient frailty (as per the Rockwood Clinical Frailty Score [30], where a score of >4/7 was considered frail), residence in a nursing home, family preference for life-sustaining therapy, and presence of an advance directive. As explained in greater detail in the initial report [11], for family preference for life-sustaining therapy, patients’ family members were asked to choose between life support, comfort measures without life support, and “I am unsure”. Only the presence of an advance directive was recorded; contents of these directives were not captured.

Statistical analyses

Cost of ICU was expressed as the mean (± standard deviation) of ICU admission per patient in Canadian Dollars. We estimated ICU cost per survivor to discharge and per survivor at 1 year from total ICU costs and mortality in the hospital and longitudinal cohorts, respectively. A generalized multivariable linear regression model using a log link function and gamma distribution was employed to predict ICU costs while controlling for other factors. This regression was performed separately for survivors and hospital decedents. Results were expressed as standardized (beta) coefficients with 95% confidence intervals (CIs). P values less than 0.05 were considered statistically significant. All analyses were performed using SAS (Version 9.3, Cary, NC, USA).

Results

Patient characteristics and clinical outcomes

Of 3064 patients aged 80 years or older admitted to ICUs who were screened for eligibility, 1671 had hospital records abstracted and were included in the hospital cohort; 610 of these consented to be enrolled in the longitudinal cohort. Table 1 summarizes the baseline characteristics and clinical outcomes of patients aged 80 years or older admitted to ICUs for both the hospital and longitudinal cohorts, as described in previous reports [11, 12]. In the hospital cohort, median ICU length of stay was 4 days and 585 patients (35%) died in hospital. In the longitudinal cohort, median ICU length of stay was 6 days, 158 patients (26%) died in hospital, and 253 (41%) were deceased within 12 months. With respect to family preferences for life-sustaining treatment, 310 (51%) preferred life support, 129 (21%) desired comfort care without life support, and 171 (28%) were unsure or had not specified their preference. Three-hundred (49%) patients had an advance directive.

Table 1 Baseline characteristics and clinical outcomes of study patients
Full size table

Cost of ICU admission

Table 2 illustrates separately the cost of ICU admission for survivors and decedents in both cohorts. The average costs of ICU admission per patient were $31,679 ± 65,867 and $36,158 ± 34,222 for the hospital and longitudinal cohorts, respectively. For the hospital cohort, the cost of ICU in survivors was $27,833 ± 46,359 while the cost in non-survivors was $38,820 ± 91,294.

Table 2 Cost of ICU admission for very elderly patients
Full size table

With respect to outcomes, the estimated total ICU cost was $48,744 per survivor to discharge (hospital cohort) and $61,783 per survivor at 1 year (longitudinal cohort) (Fig. 1). This estimation does not include costs of hospitalization following ICU discharge.

Fig. 1
figure 1

Intensive care unit (ICU) costs in very elderly patients with respect to mortality. Average cost of ICU admission per patient (hospital cohort) and calculated total ICU cost per survivor to discharge and at 1 year. The longitudinal cohort was a selected cohort of individuals from the hospital cohort followed over a 1-year period. Costs are presented in Canadian Dollars

Full size image

Predictive variables

Table 3 demonstrates the multivariate linear regression results for predictive variables for cost of ICU admission performed separately for survivors to discharge and decedents in hospital. For survivors and decedents, respectively, older age was associated with lower cost (coefficient = −0.139, 95% CI −0.021 to −0.007, P = 0.039; coefficient = −0.029, 95% CI −0.051 to −0.007, P = 0.008) and respiratory primary ICU diagnosis was associated with a greater cost (compared with cardiovascular diagnosis; coefficient = 0.461, 95% CI 0.294 to 0.627, P = 0.000; coefficient = 0.690, 95% CI 0.270 to 1.111, P = 0.001). Amongst patients who died in hospital, a greater baseline SOFA score, but not greater comorbidity index or APACHE II score, was associated with lower cost (coefficient = −0.084, 95% CI −0.114 to −0.053, P = 0.000). For survivors, increased comorbidity index was a predictor for lower cost (coefficient = −0.035, 95% CI −0.069 to −0.000, P = 0.048), and higher APACHE II score was a predictor for greater cost (coefficient = 0.031, 95% CI 0.023 to 0.039, P = 0.000); SOFA score was not significantly associated with the cost of ICU care in this group.

Table 3 Multivariate model for predictors of ICU cost in very elderly patients
Full size table

Compared with patients whose families preferred life support, those with a family member specifying a preference for comfort care without life support had a significantly lower ICU cost in both survivors and decedents (coefficient = −0.253, 95% CI −0.433 to −0.073, P = 0.006; coefficient = −0.402, 95% CI −0.650 to −0.155, P = 0.001, respectively). Neither clinical frailty nor the presence of an advance directive were significantly associated with the cost of ICU care. Although residence in a nursing home was associated with a lower cost of care amongst survivors (coefficient = −0.321, 95% CI −0.633 to −0.010, P = 0.043), it was not a significant cost predictor in those who died in hospital.

Discussion

In this multicentre cohort study, we demonstrated the significant cost of ICU admission in very elderly patients—approximately $32,000 per patient. Despite this cost, clinical outcomes were poor: 35% of patients died in hospital and 41% of those followed longitudinally were deceased at 1 year. This amounts to an ICU cost alone of nearly $49,000 per survivor to discharge for the unselected cohort, and $62,000 per survivor at 1 year amongst those in the longitudinal study. In addition, we demonstrated important patient and family factors that influence the cost of care; specifically, a preference for comfort measures over life support was an independent predictor for lower cost of care, and remained a predictor for both survivors and decedents.

Our reported cost of ICU admission in very elderly Canadians of $31,679 per patient is considerably higher than most studies reporting the cost of ICU care in similar populations [21,22,23,24,25]. Interpretation of cost differences between studies, however, remains inaccurate and may be misleading given the various types of costs reported and differences in methods of cost calculation. As a result, previous studies that calculated the cost of ICU admission in elderly and very elderly patients report a wide range of costs, from approximately $3300 to $28,100 USD per patient [21,22,23,24,25]. The daily ICU cost per patient in the present study, however, was similar compared with reported figures from cohorts that also included non-elderly adult patients [18, 25, 31]. For Canadian adults, a recent report estimated an average daily ICU cost of $3592 with an average length of stay in the ICU of 3 days [32]. Altogether, the similar daily cost but longer total length of stay in the ICU for the very elderly patients in our cohort compared to the general adult ICU population likely accounts for the notably higher overall cost of ICU admission [31, 32]. Although some studies suggest that very elderly patients admitted to ICU may incur fewer costs compared to their younger counterparts as a result of less aggressive care, our study did not directly compare costs to younger patient cohorts or study the costs associated with specific interventions [21, 22]. This trend towards fewer invasive interventions in very elderly patients, however, was not observed in our cohort, 85% of whom received at least one form of life-sustaining therapy and 72% of whom were mechanically ventilated [11], contrasting with the estimated rate of mechanical ventilation in the general adult ICU population in Canada of 33% [32]. This might, in fact, suggest that average daily ICU costs may underestimate costs for elderly patients and overestimate costs for younger adults.

The cost of ICU stay for the very elderly becomes more striking when contemplated in light of clinical outcomes observed in this population. Without even considering the costs of non-ICU hospitalization or readmission, long-term care, and outpatient care, the cost of ICU alone in our study was over $60,000 per survivor at 1 year. Though 1-year mortality was greater than 40% in our study, other investigators have reported that long-term mortality may be even higher in this group (55–90% at 3 years) [15, 16, 33]. Furthermore, we recently showed, in the same cohort as the present study, that at 1 year only 26% of patients had survived and recovered back to, or near, their baseline level of functioning [12]. As such, the ICU and non-ICU costs per functional survivor are likely substantially higher than the exclusive ICU costs we present. Potential explanations for the differences in mortality and length of stay between the hospital and longitudinal cohorts are discussed in greater detail in earlier reports [11, 12].

Even more important than the clinical outcomes were the apparent incongruences between patient/family wishes and the provision of life-sustaining treatment received, which many elderly patients would have preferred to avoid [4,5,6]. Nearly one quarter of patients or their caregivers in the present study had an expressed preference for comfort measures over life support, yet were admitted to ICU and received life-sustaining therapy. These observations should prompt healthcare providers to re-evaluate the benefit of ICU care for the very elderly, and suggest that patients’ preferences and goals of care are not addressed early enough to prevent unwanted healthcare interventions or ICU admissions.

Mechanical ventilation has been shown to increase ICU costs [31]. This may partially explain why respiratory diagnoses in our cohort were associated with the highest costs in our study. The observation that cardiovascular diagnoses were the least costly probably reflects the inclusion of post-operative cardiac and vascular surgery patients in this group—patients who may have more predictable ICU courses, preselected based on fitness for surgery. Perhaps not surprisingly, older age and greater SOFA scores in non-survivors were associated with a lower cost, likely because they were predictors of earlier mortality. In survivors to discharge, why older age was a predictor of lower cost and why we observed conflicting results with respect to comorbidity index and illness severity scores as cost-predictive factors remains unclear.

Interestingly, we found that patients whose family members had specified a preference for comfort care over life support had a significantly lower cost of ICU care, not only for those who died in hospital, but also for survivors to discharge. This finding suggests that, without adversely affecting clinical outcomes, an approach that focuses early on comfort measures instead of life support led to a reduction in cost. This is corroborated by our recent work which demonstrated that palliative care consultation reduced ICU length of stay [34].

The main limitations to our study surrounded the calculation of ICU cost. Our cost estimates were based on figures from a single academic institution, and therefore do not account for variability in costs between institutions and the known lower costs in the community ICU setting [32]. Additionally, costs were estimated by ICU dates of admission (length of stay), and therefore specific costs of care for each patient were not captured. These are known limitations to this validated method of cost calculation [35]. Finally, inpatient and outpatient costs of care following ICU discharge were not ascertained, and would be an important consideration as many of these patients have extended hospitalizations and a prolonged recovery period.

Conclusions

Our large multicentre cohort provides a unique and representative population to define the cost of critical care for the very elderly, which is higher than in the general adult ICU population despite more than double the ICU mortality rate [32]. Considering that very elderly patients frequently express a desire for a good quality of life over life-sustaining therapy, our finding that a family preference for comfort care was a predictor for lower ICU cost provides further impetus for early goals of care discussion and the development of tools for recognition of patients with probable poor outcomes [36]. Our reported cost figures will be important to inform future clinical, policymaking, and funding decisions aiming to reduce financial strain on our medical system and ensure appropriate allocation of healthcare resources. Ultimately, this will require systemic changes in end-of-life care, specifically surrounding the decisions to continue life-sustaining therapy for an elderly patient with multiple comorbidities in the ICU.

Abbreviations

APACHE II:

Acute Physiology and Chronic Health Evaluation II

CI:

Confidence interval

ICU:

Intensive care unit

SOFA:

Sequential Organ Failure Assessment

References

  1. Wunsch H, Linde-Zwirble WT, Harrison DA, Barnato AE, Rowan KM, Angus DC. Use of intensive care services during terminal hospitalizations in England and the United States. Am J Respir Crit Care Med. 2009;180(9):875–80.

    Article  PubMed  Google Scholar 

  2. Bagshaw SM, Webb SA, Delaney A, George C, Pilcher D, Hart GK, et al. Very old patients admitted to intensive care in Australia and New Zealand: a multi-centre cohort analysis. Crit Care. 2009;13(2):R45.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Ball IM, Bagshaw SM, Burns KE, Cook DJ, Day AG, Dodek PM, et al. Outcomes of elderly critically ill medical and surgical patients: a multicentre cohort study. Can J Anaesth. 2017;64(3):260–69.

  4. Heyland DK, Dodek P, Rocker G, Groll D, Gafni A, Pichora D, et al. What matters most in end-of-life care: perceptions of seriously ill patients and their family members. CMAJ. 2006;174(5):627–33.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Philippart F, Vesin A, Bruel C, Kpodji A, Durand-Gasselin B, Garcon P, et al. The ETHICA study (part I): elderly’s thoughts about intensive care unit admission for life-sustaining treatments. Intensive Care Med. 2013;39(9):1565–73.

    Article  CAS  PubMed  Google Scholar 

  6. Heyland DK, Barwich D, Pichora D, Dodek P, Lamontagne F, You JJ, et al. Failure to engage hospitalized elderly patients and their families in advance care planning. JAMA Intern Med. 2013;173(9):778–87.

    Article  PubMed  Google Scholar 

  7. Hofmann JC, Wenger NS, Davis RB, Teno J, Connors Jr AF, Desbiens N, et al. Patient preferences for communication with physicians about end-of-life decisions. SUPPORT Investigators. Study to Understand Prognoses and Preference for Outcomes and Risks of Treatment. Ann Intern Med. 1997;127(1):1–12.

    Article  CAS  PubMed  Google Scholar 

  8. Giannini A, Pessina A, Tacchi EM. End-of-life decisions in intensive care units: attitudes of physicians in an Italian urban setting. Intensive Care Med. 2003;29(11):1902–10.

    Article  PubMed  Google Scholar 

  9. The SUPPORT Principal Investigators. A controlled trial to improve care for seriously ill hospitalized patients. The study to understand prognoses and preferences for outcomes and risks of treatments (SUPPORT). JAMA. 1995;274(20):1591–8.

    Article  Google Scholar 

  10. Covinsky KE, Fuller JD, Yaffe K, Johnston CB, Hamel MB, Lynn J, et al. Communication and decision-making in seriously ill patients: findings of the SUPPORT project. The Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments. J Am Geriatr Soc. 2000;48(5 Suppl):S187–93.

    Article  CAS  PubMed  Google Scholar 

  11. Heyland D, Cook D, Bagshaw SM, Garland A, Stelfox HT, Mehta S, et al. The very elderly admitted to ICU: a quality finish? Crit Care Med. 2015;43(7):1352–60.

    Article  PubMed  Google Scholar 

  12. Heyland DK, Garland A, Bagshaw SM, Cook D, Rockwood K, Stelfox HT, et al. Recovery after critical illness in patients aged 80 years or older: a multi-center prospective observational cohort study. Intensive Care Med. 2015;41(11):1911–20.

    Article  PubMed  Google Scholar 

  13. Garrouste-Orgeas M, Timsit JF, Montuclard L, Colvez A, Gattolliat O, Philippart F, et al. Decision-making process, outcome, and 1-year quality of life of octogenarians referred for intensive care unit admission. Intensive Care Med. 2006;32(7):1045–51.

    Article  PubMed  Google Scholar 

  14. Boumendil A, Latouche A, Guidet B, Group I-CS. On the benefit of intensive care for very old patients. Arch Intern Med. 2011;171(12):1116–7.

    Article  PubMed  Google Scholar 

  15. Boumendil A, Maury E, Reinhard I, Luquel L, Offenstadt G, Guidet B. Prognosis of patients aged 80 years and over admitted in medical intensive care unit. Intensive Care Med. 2004;30(4):647–54.

    Article  PubMed  Google Scholar 

  16. 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(8):2120–6.

    Article  PubMed  Google Scholar 

  17. Oeppen J, Vaupel JW. Demography. Broken limits to life expectancy. Science. 2002;296(5570):1029–31.

    Article  CAS  PubMed  Google Scholar 

  18. Halpern NA, Pastores SM. Critical care medicine in the United States 2000–2005: an analysis of bed numbers, occupancy rates, payer mix, and costs. Crit Care Med. 2010;38(1):65–71.

    Article  PubMed  Google Scholar 

  19. Halpern NA, Goldman DA, Tan KS, Pastores SM. Trends in critical care beds and use among population groups and medicare and medicaid beneficiaries in the United States: 2000–2010. Crit Care Med. 2016;44(8):1490–9.

    Article  PubMed  Google Scholar 

  20. Needham DM, Bronskill SE, Calinawan JR, Sibbald WJ, Pronovost PJ, Laupacis A. Projected incidence of mechanical ventilation in Ontario to 2026: preparing for the aging baby boomers. Crit Care Med. 2005;33(3):574–9.

    Article  PubMed  Google Scholar 

  21. Boumendil A, Aegerter P, Guidet B, Network CU-R. Treatment intensity and outcome of patients aged 80 and older in intensive care units: a multicenter matched-cohort study. J Am Geriatr Soc. 2005;53(1):88–93.

    Article  PubMed  Google Scholar 

  22. Chelluri L, Mendelsohn AB, Belle SH, Rotondi AJ, Angus DC, Donahoe MP, et al. Hospital costs in patients receiving prolonged mechanical ventilation: does age have an impact? Crit Care Med. 2003;31(6):1746–51.

    Article  PubMed  Google Scholar 

  23. Chelluri L, Pinsky MR, Donahoe MP, Grenvik A. Long-term outcome of critically ill elderly patients requiring intensive care. JAMA. 1993;269(24):3119–23.

    Article  CAS  PubMed  Google Scholar 

  24. Chelluri L, Pinsky MR, Grenvik AN. Outcome of intensive care of the “oldest-old” critically ill patients. Crit Care Med. 1992;20(6):757–61.

    Article  CAS  PubMed  Google Scholar 

  25. Montuclard L, Garrouste-Orgeas M, Timsit JF, Misset B, De Jonghe B, Carlet J. Outcome, functional autonomy, and quality of life of elderly patients with a long-term intensive care unit stay. Crit Care Med. 2000;28(10):3389–95.

    Article  CAS  PubMed  Google Scholar 

  26. Wodchis WP, Bushmeneva K, Nikitovic M, McKillop I. Guidelines on person-level costing using administrative databases in Ontario. Toronto: Health System Performance Research Network; 2012

  27. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83.

    Article  CAS  PubMed  Google Scholar 

  28. Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med. 1985;13(10):818–29.

    Article  CAS  PubMed  Google Scholar 

  29. Moreno R, Vincent JL, Matos R, Mendonca A, Cantraine F, Thijs L, et al. The use of maximum SOFA score to quantify organ dysfunction/failure in intensive care. Results of a prospective, multicentre study. Working Group on Sepsis related Problems of the ESICM. Intensive Care Med. 1999;25(7):686–96.

    Article  CAS  PubMed  Google Scholar 

  30. Rockwood K, Song X, MacKnight C, Bergman H, Hogan DB, McDowell I, et al. A global clinical measure of fitness and frailty in elderly people. CMAJ. 2005;173(5):489–95.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Dasta JF, McLaughlin TP, Mody SH, Piech CT. Daily cost of an intensive care unit day: the contribution of mechanical ventilation. Crit Care Med. 2005;33(6):1266–71.

    Article  PubMed  Google Scholar 

  32. Canadian Institute for Health Information. Care in Canadian ICUs. Ottawa: CIHI; 2016.

    Google Scholar 

  33. Broslawski GE, Elkins M, Algus M. Functional abilities of elderly survivors of intensive care. J Am Osteopath Assoc. 1995;95(12):712–7.

    CAS  PubMed  Google Scholar 

  34. Kyeremanteng K, Gagnon LP, Thavorn K, Heyland D, D’Egidio G. The impact of palliative care consultation in the ICU on length of stay: a systematic review and cost evaluation. J Intensive Care Med. 2016. PMID 27582396.

  35. Kahn JM, Rubenfeld GD, Rohrbach J, Fuchs BD. Cost savings attributable to reductions in intensive care unit length of stay for mechanically ventilated patients. Med Care. 2008;46(12):1226–33.

    Article  PubMed  Google Scholar 

  36. Heyland DK, Stelfox HT, Garland A, Cook D, Dodek P, Kutsogiannis J, et al. Predicting performance status 1 year after critical illness in patients 80 years or older: development of a multivariable clinical prediction model. Crit Care Med. 2016;44(9):1718–26.

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors would like to thank Sasha van Katwyk for his assistance with statistical analysis.

Funding

This study was funded by the Canadian Institutes of Health Research.

Availability of data and materials

Not applicable.

Authors’ contributions

NCY contributed to study design, analysis and interpretation of data, and drafting of the manuscript. GD participated in study design and revised the manuscript. KT supervised the data analysis and revised the manuscript. DH participated in study design, interpretation of data, and revision of the manuscript. KK contributed to study design, analysis and interpretation of data, and revision of the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

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Not applicable.

Ethics approval and consent to participate

Local Research Ethics Board approval was obtained from all participating institutions (see Additional file 1). Written informed consent was obtained from patients and/or their legal representatives before enrolment.

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Authors and Affiliations

  1. Department of Medicine, University of Ottawa/The Ottawa Hospital, 501 Smyth Rd., Ottawa, Ontario, K1H 8L6, Canada

    Nicolas Chin-Yee, Gianni D’Egidio & Kwadwo Kyeremanteng

  2. Ottawa Hospital Research Institute, The Ottawa Hospital, Ottawa, Ontario, Canada

    Kednapa Thavorn

  3. Clinical Evaluation Research Unit, Kingston General Hospital, Kingston, Ontario, Canada

    Daren Heyland

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Additional files

Additional file 1:

List of participating centres. (DOCX 37 kb)

Additional file 2: Table S1.

Multivariate model of ICU cost in very elderly patients: longitudinal cohort (n = 610). (DOCX 13 kb)

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Chin-Yee, N., D’Egidio, G., Thavorn, K. et al. Cost analysis of the very elderly admitted to intensive care units. Crit Care 21, 109 (2017). https://0-doi-org.brum.beds.ac.uk/10.1186/s13054-017-1689-y

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Keywords

Critical Care

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