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Annals of Intensive Care logoLink to Annals of Intensive Care
. 2016 Apr 14;6:31. doi: 10.1186/s13613-016-0133-9

Treatment intensity and outcome of nonagenarians selected for admission in ICUs: a multicenter study of the Outcomerea Research Group

Maité Garrouste-Orgeas 1,2,, Stéphane Ruckly 3, Charles Grégoire 1, Anne-Sylvie Dumesnil 4, Cécile Pommier 3, Samir Jamali 5, Dany Golgran-Toledano 6, Carole Schwebel 7, Christophe Clec’h 8, Lilia Soufir 1, Muriel Fartoukh 9, Guillaume Marcotte 10, Laurent Argaud 11, Bruno Verdière 12, Michael Darmon 13, Elie Azoulay 14, Jean-François Timsit 2,3,15
PMCID: PMC4830777  PMID: 27076186

Abstract

Background

Outcome of very elderly patients admitted in intensive care unit (ICU) was most often reported for octogenarians. ICU admission demands for nonagenarians are increasing. The primary objective was to compare outcome and intensity of treatment of octogenarians and nonagenarians.

Methods

We performed an observational study in 12 ICUs of the Outcomerea™ network which prospectively upload data into the Outcomerea™ database. Patients >90 years old (case patients) were matched with patients 80–90 years old (control patients). Matching criteria were severity of illness at admission, center, and year of admission.

Results

A total of 2419 patients aged 80 or older and admitted from September 1997 to September 2013 were included. Among them, 179 (7.9 %) were >90 years old. Matching was performed for 176 nonagenarian patients. Compared with control patients, case patients were more often hospitalized for unscheduled surgery [54 (30.7 %) vs. 42 (23.9 %), p < 0.01] and had less often arterial monitoring for blood pressure [37 (21 %) vs. 53 (30.1 %), p = 0.04] and renal replacement therapy [5 (2.8 %) vs. 14 (8 %), p = 0.05] than control patients. ICU [44 (25 %) vs. 36 (20.5 %), p = 0.28] or hospital mortality [70 (39.8 %) vs. 64 (36.4 %), p = 0.46] and limitation of life-sustaining therapies were not significantly different in case versus control patients, respectively. Only 16/176 (14 %) of case patients were transferred to a geriatric unit.

Conclusion

This multicenter study reported that nonagenarians represented a small fraction of ICU patients. When admitted, these highly selected patients received similar life-sustaining treatments, except RRT, than octogenarians. ICU and hospital mortality were similar between the two groups.

Electronic supplementary material

The online version of this article (doi:10.1186/s13613-016-0133-9) contains supplementary material, which is available to authorized users.

Keywords: Elderly, 80 and over, Intensive care unit, End of life, Triage

Background

With population aging and medical management progress, the demands for intensive care unit admission for very elderly patients are increasing throughout the world [1]. Against this challenge, the resources for intensive care are not adapted. The intensive care unit physician has to make the complex decision which is to admit elderly patients with benefit to admission [2]. This decision may vary broadly according to countries and to physicians characteristics [3]. This decision is even more difficult with very elderly for whom advance directives are often not available [3].

Outcome of very elderly patients was most often reported for octogenarians [4]. The mean age in studies was roughly 84 years old [58]. Outcome was very different for patients admitted after planned surgery and patients admitted for medical reasons or unscheduled surgery. After scheduled surgery, the ICU and hospital mortality rate were 12 and 25 %, respectively [9]. For the same endpoints, rates were 38 and 64 % for medical patients and 45 and 55 % for unscheduled surgery patients [5, 6]. This known high mortality rate for medical very elderly patients is probably responsible for the identification of age >85 years as an independent factor for ICU refusal for some physicians [10, 11]. Decision of ICU admission of very elderly patients should be a shared decision taking into account the point of view of the physician and the patients. Patients are less favorable than intensivist to ICU admission [11, 12].

There are no valuable reasons to limit ICU admission according to age. ICU admission requests for nonagenarians are increasing. However, only few studies evaluated their outcome. In a Brazilian study of nonagenarians admitted in a single center, the ICU and 6-month mortality for medical patients were 38 and 47 %, respectively. Of note, 25 % of patients were mechanically ventilated [13]. In a Greek single study, nonagenarians represented 1.1 % of the admitted population. Their ICU and hospital mortality were 20 and 40 %, respectively [14]. A case–control study from France reported no significant differences in outcome in patients aged 90 and more compared with younger after adjustment on severity of illness and support of life threatening therapies [15]. These scarce studies revealed that outcomes of nonagenarians were not worse than those of octogenarians. To precise outcome of the very elderly ICU population, we conducted an observational study on very elderly patients within the French multicenter Outcomerea database, in order to compare the outcome and intensity of treatment of youngest patients (80–89 years old) versus oldest (>90 years old).

Methods

Study design and data collection

Data of a convenience sample of patients more than 80 years old were obtained from September 1997 to September 2013 in 12 ICUs on the multicenter database Outcomerea™.

Briefly, every year, each participating ICU enters prospective data on daily disease severity and intensity of care for at least 50 consecutive patients admitted over a 1-month period or admitted to a predefined number of beds throughout the year, as described elsewhere [16]. None of the 12 ICUs had written guidelines for ICU admission. ICU admission was guided by both intensivist’s evaluations of the appropriateness of ICU admission, patients’ preferences if available, and the availability of beds [3].

The following information was collected for each patient: age, sex, body mass index, admission category (medical, scheduled surgery, or unscheduled surgery), pre-defined admission diagnosis (multiorgan failure and shock, acute renal failure, acute respiratory failure, chronic obstructive pulmonary disease, monitoring, trauma), invasive procedures (arterial and/or venous central lines, endotracheal and noninvasive ventilation, tracheotomy, and dialysis), and treatment of organ failures [inotropic support, mechanical and noninvasive ventilation, and renal replacement therapy (RRT)]. Severity of chronic illness was measured with the Knaus classification [17]. Severity of illness was measured daily using the Simplified Acute Physiology Score II [18] and SOFA score [19, 20]. We recorded treatment limitations at ICU admission in three categories: withdrawing (decision to stop life-sustaining intervention), withholding (decision not to start or increase life-sustaining intervention when there is a need), or advance withholding (no escalation of treatment before this need arises) [21]. Vital status at ICU and hospital discharge was recorded. Transfer of the nonagenarians to an acute geriatric unit was collected after ICU discharge.

Quality of the database

For most of the study variables, the data-capture software immediately ran an automatic check for internal consistency, generating queries that were sent to the ICUs for resolution before incorporation of the new data into the database. In each participating ICU, data quality was checked by having a senior physician from another participating ICU review a 2 % random sample of the study data every other year. A 1-day data-capture training course held once a year was open to all Outcomerea™ investigators and study monitors.

Ethics committee approval and informed consent

According to French law on non-interventional studies, the study was approved by the Clermont-Ferrand Hospital institutional review board (CECIC, IRB #5891, ref #2007-16) and by the Pitié-Salpêtrière Hospital Ethics Committee, which waived the need for informed consent for patients included in the database. The database was disclosed to the French Data Protection Authority (CNIL 1675804 v 0).

Statistical analysis

Data are expressed as median [interquartile range] for continuous variables and number (%) for categorical variables. Matching criteria were severity of illness, center, and year. Severity of illness was rated using corrected SAPS II age. Comparisons of matched pairs were made using McNemar’s paired test, Friedman’s test, and Wilcoxon’s paired test, as appropriate. Comparisons between 80–90 and >90 years old on patients who died in the ICU were made using Chi-square test for categorical variables and Mann–Whitney for continuous variables. All statistical analyses were carried out with SAS version 9.4 (SAS Institute Inc., Cary, NC, USA). p values <0.05 were considered significant.

Results

From September 1997 to September 2013, 2,419 patients aged 80 years and over and hospitalized in 12 ICUs were included in the database. Among them, 179 (7.9 %) were >90 years old and represented the case patients. No significant increase in the number of nonagenarians ICU admissions was reported in our database during the study period (Additional file 1: Figure S1). We matched 176 case patients with 176 control patients aged between 80 and 90. Table 1 reports the demographics and clinical characteristics of the case and controls patients. Compared with control patients, with the same severity of illness at ICU admission, case patients were more often admitted for unscheduled surgery, had similar intensity of treatment (invasive and noninvasive ventilation, and use of vasopressive therapy), but had a lower use of arterial catheter monitoring (37/176, 21 % vs. 53/176, 30 %, p = 0.04) or RRT (5/176, 2.8 % vs. 14/176, 8 %, p = 0.05). Overuse of urinary catheter was seen in case patients (Table 2). The percentage of life-sustaining therapies within 48 h of ICU admission was similar in both groups. ICU and hospital length of stay were significantly shorter in case patients, while no differences in ICU or hospital mortality were reported (Table 2). Beside age, the non-survivors of both groups were not significantly different, except that case patients had shorter pre-admission length of stay and lower use of central venous and arterial catheters (Table 3).

Table 1.

Comparison between characteristics of octogenarian patients (80–90) and matched nonagenarian patients (>90)

Variables 80–90 years old
N = 176
>90 years old
N = 176
p valuea
Age in years, median (IQR) 83.8 (81.4–85.7) 92 (90.8–93.7) <0.01
Males, n (%) 84 (47.7) 66 (37.5) 0.05
Body mass index, kg/m2, median (IQR)b 25 (22.6–28.9) 23.1 (20.4–26.1) <0.01
Transfer from ward, n (%) 103 (58.5) 86 (48.9) 0.07
At least one underlying diseasec, n (%) 74 (42.0) 76 (43.2) 0.83
 Hepatic 3 (1.7) 3 (1.7) 1.00
 Cardiovascular 43 (24.4) 55 (31.3) 0.15
 Pulmonary 30 (17) 19 (10.8) 0.09
 Renal 8 (4.5) 6 (3.4) 0.59
 Immunosuppression 5 (2.8) 8 (4.5) 0.40
Admission category, n (%) 0.35
 Medicine 122 (69.3) 112 (63.6)
 Unscheduled surgery 42 (23.9) 54 (30.7)
 Scheduled surgery 12 (6.8) 10 (5.7)
Main symptom at admission, n (%)
 Shock and multiorgan failure 52 (29.5) 51 (29) 0.91
 Acute respiratory failure 63 (35.8) 54 (30.7) 0.31
 Acute renal failure 8 (4.5) 7 (4) 0.79
 Coma 14 (8) 10 (5.7) 0.40
 Monitoring 24 (13.6) 37 (21) 0.07
 Trauma 2 (1.1) 2 (1.1) 1.00
Severity of illness at admission, median (IQR)
 SAPS II at admission 45 (37–57) 46 (37–59) 0.77
 SAPS II leaving out age points 27 (19–39) 28 (19–41) 0.77
 SOFA within 48 h of admission 5 (3–8) 5 (3–8) 0.96

IQR inter quartile range, SAPS II Simplified Acute Physiologic Score II, SOFA Sepsis Organ Failure Assessment, ICU intensive care unit

aChi-square or Mann–Whitney test as appropriate

b109 missing values

cDefined by Knaus definition [17]

Table 2.

Intensity of care and outcome of octogenarian patients (80–90) and matched nonagenarian patients (>90)

Variables 80–90 years old
N = 176
>90 years old
N = 176
p value
Intensity of care within 48 h of admission, n (%)
 Endotracheal mechanical ventilation 87 (49.4) 76 (43.2) 0.18
 Noninvasive mechanical ventilation 37 (21) 24 (13.6) 0.07
 Epinephrine/norepinephrine 56 (31.8) 49 (27.8) 0.41
 Dobutamine 33(18.8) 33 (18.8) 1.00
 Central venous catheter 80 (45.5) 64 (36.4) 0.09
 Arterial catheter 53 (30.1) 37 (21) 0.04
 Renal replacement therapy 14 (8) 5 (2.8) 0.05
 Urinary catheter 137 (77.8) 151 (85.8) 0.05
Pre-ICU hospital stay, days, median (IQR) 1 (0–6) 0 (0–3) 0.02
Length of ICU stay, days, median (IQR) 6 (3–12) 4 (2–7.5) <0.01
Length of hospital stay, days, median (IQR)a 21 (13–37.5) 16 (8–26) <0.01
Decision to forgo life-sustaining treatments within 48 h of admission, n (%)
 Advance withholdingb 18 (10.2) 16 (9.1) 0.86
 Withholding 3 (1.7) 6 (3.4) 0.51
 Withdrawing 4 (2.3) 3 (1.7) 1.00
ICU mortality, n (%) 36 (20.5) 44 (25) 0.34
Hospital mortality, n (%) 64 (36.4) 70 (39.8) 0.54

IQR inter quartile range

a21 missing values

bAnticipated decision of no escalation of life-sustaining intervention before this need arises

Table 3.

Comparison of characteristics of non-survivors between octogenarians (80–90) and nonagenarians (>90)

Variables 80–90 years old N = 36 >90 years old N = 44 p value
Age in years, median (IQR) 82.9 (81.1–85.2) 92 (91–93.5) <0.01
Males, n (%) 18 (50) 18 (40.9) 0.42
Body mass index, kg/m2, median (IQR)a 24.2 (22.2–26) 22 (20–27.3) 0.24
Transfer from ward, n (%) 21 (58.3) 17 (38.6) 0.08
At least one underlying diseaseb, n (%) 12 (33.3) 20 (45.5) 0.27
 Hepatic 0 1 (2.3) 0.36
 Cardiovascular 7 (19.4) 15 (34.1) 0.14
 Pulmonary 4 (11.1) 7 (15.9) 0.54
 Renal 2 (5.6) 2 (4.5) 0.84
 Immunosuppression 1 (2.8) 2 (4.5) 0.68
Admission category, n (%) 1.00
 Medicine 27 (75) 33 (75)
 Unscheduled surgery 9 (25) 11 (25)
 Scheduled surgery 0 0
Main symptom at admission, n (%)
 Shock and multiorgan failure 16 (44.4) 16 (36.4) 0.46
  Acute respiratory failure 13 (36.1) 16 (36.4) 0.98
  Acute renal failure 0 1 (2.3) 0.36
  Coma 4 (11.1) 3 (6.8) 0.50
  Monitoring 3 (8.3) 2 (4.5) 0.68
  Trauma 0 1 (2.3) 0.36
Severity of illness at admission, median (IQR)
 SAPS II at admission 55.5 (45.5–76) 62 (49.5–81.5) 0.20
 SAPS II leaving out age points 37.5 (27.5–58) 44 (31.5–63.5) 0.20
 SOFA within 48 h of admission 7 (5–10.5) 8 (6–10) 0.41
Intensity of care within 48 h of admission, n (%)
 Endotracheal mechanical ventilation 27 (75) 29 (65.9) 0.38
 Noninvasive mechanical ventilation 9 (25) 6 (13.6) 0.20
 Epinephrine/norepinephrine 23 (63.9) 23 (52.3) 0.30
 Dobutamine 11 (30.6) 14 (31.8) 0.90
 Central venous catheter 23 (63.9) 18 (40.9) 0.04
 Arterial catheter 18 (50) 12 (27.3) 0.04
 Renal replacement therapy 1 (2.8) 2 (4.5) 0.68
 Urinary catheter 30 (83.3) 36 (81.8) 0.86
Pre-ICU hospital stay, days, median (IQR) 1.5 (0–6.5) 0 (0–1) 0.03
Length of ICU stay, days, median (IQR) 8.5 (2.5–19.5) 6 (2–16) 0.17
Length of hospital stay, median (IQR) 13 (5–24) 8 (3–18.5) 0.09
Decision to forgo life-sustaining treatments within 48 h of admission, n (%)
 Advance withholdingc 11 (30.6) 8 (18.2) 0.20
 Withholding 2 (5.6) 5 (11.4) 0.36
 Withdrawing 2 (5.6) 2 (4.5) 0.84

IQR inter quartile range, SAPS II Simplified Acute Physiologic Score II, SOFA Sepsis Organ Failure Assessment, ICU intensive care unit

a31 missing values

bDefined by Knaus definition [17]

cAnticipated decision of no escalation of life-sustaining intervention before this need arises

Overall, 10/12 (83 %) of the centers had an acute geriatric unit with fixed beds, and 16/176 (14 %) patients >90 years old were transferred in these units after ICU discharge.

Discussion

In a selected population of very elderly patients, this French multicenter study showed that intensity and monitoring of treatment were quite similar between octogenarian (80–90 years) and nonagenarian patients (>90 years), except for lower use of invasive arterial monitoring and of RRT and overuse of urinary catheter. ICU and hospital mortality were not significantly different.

Very elderly patient population will greatly increase in the future, and one of the tough challenges of intensivists will be to adapt resources to benefit of care [1]. While the rate of very elderly patients admissions clearly increased among hospital admissions [1], overall ICU admissions rate of patients aged 80 and over remained stable, around 15 % in Europe: France 18 % [7], Netherlands 13.8 % [22], and Italy 19.2 % [23] as worldwide: Australia and New Zeeland 13 % [9]. This stable rate was probably explained by a stringent triage [24, 25]. Two studies, each comparing practices to 10 years apart, reported similarly that age >85 remained an independent factor hampering ICU admission [10, 11].

Few studies reported the percentage of nonagenarians in ICU admissions. In our study, nonagenarians represented around 8 % of ICU admissions, higher than the rates observed in a Brazilian [13], Norway [26], or French study [6] 3, 2.5, or 1 %, respectively. The percentage of patients aged 85 years and over represented only 3.4 % in the Eldicus study [25]. As shown in a previous study [27], our study showed that, after having submitted nonagenarian’s patients to a stringent selection process, ICU physicians provided similar treatment as to octogenarian patients, namely ventilation procedures, and vasoactive drugs administration, except for the use of RRT for nonagenarians. Interestingly, this was in agreement with very elderly’s wishes [12]. Intensity of treatment provided to the very elderly has changed overtime. In the last decade, age could be an obstacle for delivering treatment for acute coronary disease [28, 29] or ICU treatment [15]. In a more recent period, Lerolle et al. [5], in a single-center study over a decade, showed that selecting good candidates (mean age: 83 years) with benefit of ICU treatment was associated with improvement of mortality rates, even if they were severely ill at ICU admission, thus requesting greater intensity of treatment (vasoactive drugs and RRT). In a subgroup analysis by 5-year age groups, Andersen et al. [26] reported significant lower time on and use of mechanical ventilator support among the 738 patients of the nonagenarian subgroup compared with other age groups. Improving the process selection is difficult [10, 3033]; recently, evaluation of frailty [34] was added to the making decision process [35, 36]. Selecting better candidates for ICU admission will be an ongoing process: Will a 90-year-old person in 2030 be as frail and thus have the same risk of ICU admission as in 2015? The global progress in medicine will lead to admit more healthy very elderly in ICU, and the results of ICU treatment of very elderly will probably improve. Of note, scarce studies of trauma centenarians are available [37].

Transferring a patient to a geriatric unit for a geriatric assessment after ICU discharge did not improve hospital mortality. A geriatric assessment is “a combination of a multidimensional interdisciplinary approach and diagnostic process focused on determining in a frail old person, medical, psychological and functional capacity in order to develop a coordinated plan for treatment and recovery” [38]. The benefit of geriatric assessment seems to be more in the post-hospital period. A review of 22 randomized trials having included 10,315 patients showed that geriatric assessment was more often associated with being alive in their own home 1 year after hospital discharge [39]. Our study reported that only 14 % of patients were transferred to a geriatric unit. Due to the retrospective analysis of the study and the long period of inclusion, we were not able to report whether these patients have benefit of a geriatric assessment. Further studies involving more patients and using a randomized process at ICU discharge are needed to explore this point.

One of our study strengths was to include a control group of youngest patients, i.e., octogenarians, to analyze comparatively the intensity of treatment and outcome.

This study has also several limitations. First, our study described practices in France and may not be extrapolated in other countries. Second, the main limitation of the study was the lack of follow-up regarding the outcome of the post-intensive care syndrome [40], namely physical, cognitive, or mental sequelae which funded the benefit of ICU admission. These outcomes were not in our database, and their specific research was difficult due to the high number of female, registered under different names (maiden name or married name) in the hospital register and in the appropriate register death office. Third, our database did not contain measurement of frailty index, which is now used to better describe ICU and hospital outcome [4]. Fifth by fourth, the study was on a 15-year period with possible changes in selection and care of elderly people. Sixth by fifth, age being a continuous variable, using it to compare groups for outcome may appear artificial.

In conclusion, this multicenter study reported that nonagenarians represented a small part of ICU patients. When admitted to ICU, these highly selected patients received similar life-sustaining treatments as octogenarians, except RRT and invasive monitoring for blood pressure. Hospital mortality was not influenced by post-ICU care. Further research is needed to elucidate recovery in this nonagenarian population.

Authors’ contributions

JFT, EA, and SR designed the study; JFT, CP, and SR did the statistical analysis; MGO interpreted the data and wrote the manuscript; and CG, ASD, SJ, DGT, CS, CC, LS, MF, GM, LA, BV, and MD contributed to interpret the data. All authors read and approved the final manuscript.

Acknowledgements

We thank Celine Feger, MD (EMIBiotech), for their assistance in preparing the manuscript.

Competing interests

The authors declare that they have no competing interests.

Additional file

13613_2016_133_MOESM1_ESM.doc (44.5KB, doc)

10.1186/s13613-016-0133-9 Evolution of nonagenarians admissions during the study period.

Contributor Information

Maité Garrouste-Orgeas, Phone: +33 144 123 415, Email: mgarrouste@hpsj.fr.

Stéphane Ruckly, Email: stephane.ruckly@gmail.com.

Charles Grégoire, Email: charles.gregoire@gmail.com.

Anne-Sylvie Dumesnil, Email: anne-sylvie.dumesnil@abc.aphp.fr.

Cécile Pommier, Email: pommier.cecile@hotmail.fr.

Samir Jamali, Email: sjamali@ch-dourdan.fr.

Dany Golgran-Toledano, Email: dany.toledano@ch-gonesse.fr.

Carole Schwebel, Email: cschwebel@chu-grenoble.fr.

Christophe Clec’h, Email: christophe.clech@avc.ap-hop-paris.fr.

Lilia Soufir, Email: lsoufir@hpsj.fr.

Muriel Fartoukh, Email: muriel.fartoukh@aphp.fr.

Guillaume Marcotte, Email: guillaume.marcotte@chu-lyon.fr.

Laurent Argaud, Email: laurent.argaud@chu-lyon.fr.

Bruno Verdière, Email: bruno.verdiere@ch-stdenis.fr.

Michael Darmon, Email: michael.darmon@chu-st-etienne.fr.

Elie Azoulay, Email: elie.azoulay@sls.aphp.fr.

Jean-François Timsit, Email: jean-francois.timsit@bch.aphp.fr.

References

  • 1.Nielsson MS, Christiansen CF, Johansen MB, Rasmussen BS, Tonnesen E, Norgaard M. Mortality in elderly ICU patients: a cohort study. Acta Anaesthesiol Scand. 2014;58:19–26. doi: 10.1111/aas.12211. [DOI] [PubMed] [Google Scholar]
  • 2.Levin PD, Sprung CL. Intensive care triage—the hardest rationing decision of them all. Crit Care Med. 2006;34:1250–1251. doi: 10.1097/01.CCM.0000208355.77757.9C. [DOI] [PubMed] [Google Scholar]
  • 3.Garrouste-Orgeas M, Ben-Rehouma M, Darmon M, Ruckly S, Clec’h C, Adrie C, et al. ICU physician-based determinants of life-sustaining therapy during nights and weekends: French multicenter study from the Outcomerea Research Group. Crit Care Med. 2014;42:2393–2400. doi: 10.1097/CCM.0000000000000523. [DOI] [PubMed] [Google Scholar]
  • 4.Heyland D, Garland A, Bagshaw SM, Cook D, Rockwood K, Stelfox HT, et al. Recovery after critical illness patients aged 80 years or older: a multi-centre prospective observational cohort study. Intensive Care Med. 2015;41:1911–1920. doi: 10.1007/s00134-015-4028-2. [DOI] [PubMed] [Google Scholar]
  • 5.Lerolle N, Trinquart L, Bornstain C, Tadie JM, Imbert A, Diehl JL, et al. Increased intensity of treatment and decreased mortality in elderly patients in an intensive care unit over a decade. Crit Care Med. 2010;38:59–64. doi: 10.1097/CCM.0b013e3181b088ec. [DOI] [PubMed] [Google Scholar]
  • 6.Roch A, Wiramus S, Pauly V, Forel JM, Guervilly C, Gainnier M, et al. Long-term outcome in medical patients aged 80 or over following admission to an intensive care unit. Crit Care. 2011;15:R36. doi: 10.1186/cc9984. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Tabah A, Philippart F, Timsit JF, Willems V, Francais A, Leplege A, et al. Quality of life in patients aged 80 or over after ICU discharge. Crit Care. 2010;14:R2. doi: 10.1186/cc8231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Andersen FH, Flaatten H, Klepstad P, Romild U, Kvale R. Long-term survival and quality of life after intensive care for patients 80 years of age or older. Ann Intensive Care. 2015;5:53. doi: 10.1186/s13613-015-0053-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.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:R45. doi: 10.1186/cc7768. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Garrouste-Orgeas M, Montuclard L, Timsit JF, Misset B, Christias M, Carlet J. Triaging patients to the ICU: a pilot study of factors influencing admission decisions and patient outcomes. Intensive Care Med. 2003;29:774–781. doi: 10.1007/s00134-003-1709-z. [DOI] [PubMed] [Google Scholar]
  • 11.Garrouste-Orgeas M, Tabah A, Vesin A, Philippart F, Kpodji A, Bruel C, et al. The ETHICA study (part II): simulation study of determinants and variability of ICU physician decisions in patients aged 80 or over. Intensive Care Med. 2013;39:1574–1583. doi: 10.1007/s00134-013-2977-x. [DOI] [PubMed] [Google Scholar]
  • 12.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;39:1565–1573. doi: 10.1007/s00134-013-2976-y. [DOI] [PubMed] [Google Scholar]
  • 13.Japiassu AM, Oliveira BA, Gondim CR, Kurtz P, Almeida GF, Pinto M, et al. Effect of type of admission on short- and long-term outcome of nonagenarians admitted to an intensive care unit. J Am Geriatr Soc. 2009;57:1128–1130. doi: 10.1111/j.1532-5415.2009.02297.x. [DOI] [PubMed] [Google Scholar]
  • 14.Rellos K, Falagas ME, Vardakas KZ, Sermaides G, Michalopoulos A. Outcome of critically ill oldest-old patients (aged 90 and older) admitted to the intensive care unit. J Am Geriatr Soc. 2006;54:110–114. doi: 10.1111/j.1532-5415.2005.00544.x. [DOI] [PubMed] [Google Scholar]
  • 15.Demoule A, Cracco C, Lefort Y, Ray P, Derenne JP, Similowski T. Patients aged 90 years or older in the intensive care unit. J Gerontol A Biol Sci Med Sci. 2005;60:129–132. doi: 10.1093/gerona/60.1.129. [DOI] [PubMed] [Google Scholar]
  • 16.Zahar JR, Schwebel C, Adrie C, Garrouste-Orgeas M, Francais A, Vesin A, et al. Outcome of ICU patients with Clostridium difficile infection. Crit Care. 2012;16(6):R215. doi: 10.1186/cc11852. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Knaus WA, Zimmerman JE, Wagner DP, Draper EA, Lawrence DE. APACHE-acute physiology and chronic health evaluation: a physiologically based classification system. Crit Care Med. 1981;9:591–597. doi: 10.1097/00003246-198108000-00008. [DOI] [PubMed] [Google Scholar]
  • 18.Le Gall JR, Lemeshow S, Saulnier F. A new simplified acute physiology score (SAPS II) based on a European/North American multicenter study. JAMA. 1993;270:2957–2963. doi: 10.1001/jama.1993.03510240069035. [DOI] [PubMed] [Google Scholar]
  • 19.Vincent JL, Moreno R, Takala J, Willatts S, De Mendonca A, Bruining H, et al. The SOFA (sepsis-related organ failure assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Med. 1996;22:707–710. doi: 10.1007/BF01709751. [DOI] [PubMed] [Google Scholar]
  • 20.Timsit JF, Fosse JP, Troche G, De Lassence A, Alberti C, Garrouste-Orgeas M, et al. 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;30:2003–2013. doi: 10.1097/00003246-200209000-00009. [DOI] [PubMed] [Google Scholar]
  • 21.Lautrette A, Garrouste-Orgeas M, Bertrand PM, Goldgran-Toledano D, Jamali S, Laurent V, et al. Respective impact of no escalation of treatment, withholding and withdrawal of life-sustaining treatment on ICU patients’ prognosis: a multicenter study of the Outcomerea Research Group. Intensive Care Med. 2015;41:1763–1772. doi: 10.1007/s00134-015-3944-5. [DOI] [PubMed] [Google Scholar]
  • 22.Haas LE, Karakus A, Holman R, Cihangir S, Reidinga AC, De Keizer NF. Trends in hospital and intensive care admissions in the Netherlands attributable to the very elderly in an ageing population. Crit Care. 2015;19:353. doi: 10.1186/s13054-015-1061-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Pavoni V, Gianesello L, Paparella L, Buoninsegni LT, Mori E, Gori G. Outcome and quality of life of elderly critically ill patients: an Italian prospective observational study. Arch Gerontol Geriatr. 2015;54:e193–e198. doi: 10.1016/j.archger.2011.11.013. [DOI] [PubMed] [Google Scholar]
  • 24.Boumendil A, Aegerter P, Guidet B. Treatment intensity and outcome of patients aged 80 and older in intensive care units: a multicenter matched-cohort study. J Am Geriatr Soc. 2005;53:88–93. doi: 10.1111/j.1532-5415.2005.53016.x. [DOI] [PubMed] [Google Scholar]
  • 25.Sprung CL, Artigas A, Kesecioglu J, Pezzi A, Wiis J, Pirracchio R, et al. The Eldicus prospective, observational study of triage decision making in European intensive care units. Part II: intensive care benefit for the elderly. Crit Care Med. 2012;40:132–138. doi: 10.1097/CCM.0b013e318232d6b0. [DOI] [PubMed] [Google Scholar]
  • 26.Andersen FH, Kvale R. Do elderly intensive care unit patients receive less intensive care treatment and have higher mortality? Acta Anaesthesiol Scand. 2012;56:1298–1305. doi: 10.1111/j.1399-6576.2012.02782.x. [DOI] [PubMed] [Google Scholar]
  • 27.Becker S, Muller J, de Heer G, Braune S, Fuhrmann V, Kluge S. Clinical characteristics and outcome of very elderly patients ≥90 years in intensive care: a retrospective observational study. Ann Intensive Care. 2015;5:53. doi: 10.1186/s13613-015-0097-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Nguyen HL, Gore JM, Saczynski JS, Yarzebski J, Reed G, Spencer FA, et al. Age and sex differences and 20-year trends (1986–2005) in prehospital delay in patients hospitalized with acute myocardial infarction. Circ Cardiovasc Qual Outcomes. 2010;3:590–598. doi: 10.1161/CIRCOUTCOMES.110.957878. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Nguyen HL, Saczynski JS, Gore JM, Goldberg RJ. Age and sex differences in duration of prehospital delay in patients with acute myocardial infarction: a systematic review. Circ Cardiovasc Qual Outcomes. 2010;3:82–92. doi: 10.1161/CIRCOUTCOMES.109.884361. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Azoulay E, Pochard F, Chevret S, Vinsonneau C, Garrouste M, Cohen Y, et al. Compliance with triage to intensive care recommendations. Crit Care Med. 2001;29:2132–2136. doi: 10.1097/00003246-200111000-00014. [DOI] [PubMed] [Google Scholar]
  • 31.Sprung CL, Geber D, Eidelman LA, Baras M, Pizov R, Nimrod A, et al. Evaluation of triage decisions for intensive care admission. Crit Care Med. 1999;27:1073–1079. doi: 10.1097/00003246-199906000-00021. [DOI] [PubMed] [Google Scholar]
  • 32.Joynt GM, Gomersall CD, Tan P, Lee A, Cheng CA, Wong EL. Prospective evaluation of patients refused admission to an intensive care unit: triage, futility and outcome. Intensive Care Med. 2001;27:1459–1465. doi: 10.1007/s001340101041. [DOI] [PubMed] [Google Scholar]
  • 33.Garrouste-Orgeas M, Montuclard L, Timsit JF, Reignier J, Desmettre T, Karoubi P, et al. Predictors of intensive care unit refusal in French intensive care units: a multiple-center study. Crit Care Med. 2005;33:750–755. doi: 10.1097/01.CCM.0000157752.26180.F1. [DOI] [PubMed] [Google Scholar]
  • 34.Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K. Frailty in elderly people. Lancet. 2013;381:752–762. doi: 10.1016/S0140-6736(12)62167-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Bagshaw SM, McDermid RC. The role of frailty in outcomes from critical illness. Curr Opin Crit Care. 2013;19:496–503. doi: 10.1097/MCC.0b013e328364d570. [DOI] [PubMed] [Google Scholar]
  • 36.Bagshaw SM, Stelfox HT, Johnson JA, McDermid RC, Rolfson DB, Tsuyuki RT, et al. Long-term association between frailty and health-related quality of life among survivors of critical illness: a prospective multicenter cohort study. Crit Care Med. 2015;43:973–982. doi: 10.1097/CCM.0000000000000860. [DOI] [PubMed] [Google Scholar]
  • 37.Hwabejire JO, Kaafarani HM, Lee J, Yeh DD, Fagenholz P, King DR, et al. Patterns of injury, outcomes, and predictors of in-hospital and 1-year mortality in nonagenarian and centenarian trauma patients. JAMA Surg. 2014;149:1054–1059. doi: 10.1001/jamasurg.2014.473. [DOI] [PubMed] [Google Scholar]
  • 38.Wieland D, Hirth V. Comprehensive geriatric assessment. Cancer Control. 2003;10:454–462. doi: 10.1177/107327480301000603. [DOI] [PubMed] [Google Scholar]
  • 39.Ellis G, Whitehead MA, Robinson D, O’Neill D, Langhorne P. Comprehensive geriatric assessment for older adults admitted to hospital: meta-analysis of randomised controlled trials. BMJ. 2011;343:d6553. doi: 10.1136/bmj.d6553. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Needham DM, Davidson J, Cohen H, Hopkins RO, Weinert C, Wunsch H, et al. Improving long-term outcomes after discharge from intensive care unit: report from a stakeholders’ conference. Crit Care Med. 2012;40:502–509. doi: 10.1097/CCM.0b013e318232da75. [DOI] [PubMed] [Google Scholar]

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