Open Access

Clinical characteristics and outcome of very elderly patients ≥90 years in intensive care: a retrospective observational study

  • Sophie Becker1,
  • Jakob Müller1, 2,
  • Geraldine de Heer1,
  • Stephan Braune1,
  • Valentin Fuhrmann1 and
  • Stefan Kluge1Email author
Contributed equally
Annals of Intensive Care20155:53

DOI: 10.1186/s13613-015-0097-1

Received: 5 July 2015

Accepted: 7 December 2015

Published: 21 December 2015

Abstract

Background

Since the overall prognosis of very elderly patients is generally limited, admissions to intensive care in these patients are often restricted. Therefore, only very few information is available on the prognosis of nonagenarians after intensive care treatment. The aim of this study was to analyze the clinical characteristics and outcomes of very elderly patients (≥90 years) admitted to an intensive care unit (ICU).

Methods

Monocentric, retrospective observational study of all patients aged ≥90 years admitted to the Department of Intensive Care Medicine with a total capacity of 132 ICU beds at the University Medical Center Hamburg in Germany between January 2008 and June 2013. A multivariate Cox regression analysis was used to identify risk factors for 28-day outcome.

Results

A total of 372 patients ≥90 years of age were admitted to one of the departments ICUs. The majority of patients (66.7 %) were admitted as an emergency admission, of which half underwent unscheduled surgery. 39.8 % of patients required support by mechanical ventilation and vasoactive drugs, and 1.9 % of patients received renal replacement. ICU and hospital mortality rates were 18.3 and 30.9 %, respectively. Overall survival at 1 year after hospital discharge was 34.9 %. Multivariate Cox regression analysis revealed creatinine, bilirubin, age, and necessity of catecholamines as independent risk factors and scheduled surgery as protective factor for 28-day outcome.

Conclusion

Nearly 70 % of patients aged ≥90 years were discharged alive from hospital following treatment at the ICU, and more than half of them were still alive 1 year after their discharge. The results suggest that 1-year survival prognosis of very old ICU patients is not as poor as often perceived and that age per se should not be an exclusion criterion for ICU admission.

Trial registration: WF-0561/13

Keywords

Intensive care Prognosis Long- term outcome Over 90 years old

Background

As a result of demographic transition, the proportion of elderly and very elderly patients is increasing in industrial countries. Especially the percentage of the oldest patients (>80 years) is growing among the elderly population [1]. In 2030, the worldwide number of nonagenarians (≥90 years) is expected to reach 30 million [2].

Medical progress increasingly allows elderly patients to undergo procedures and operations that only a few decades ago were not feasible because of age [3, 4]. As a result, more very elderly patients are admitted to intensive care units (ICU). However, there is evidence that older patients have a poorer prognosis than younger patients [57]. Since the overall prognosis of very elderly patients is generally limited, ICU admissions in these patients are often restricted. Among intensivists and in the literature, the discussion about the appropriateness of ICU admissions of elderly patients is controversial [710], due to costs, limited resources, and questionable outcome.

Although international publications indicate that people 80 years of age and older already represent 15 % of all ICU patients [5, 11], there is still a lack of information on prognosis and outcome, especially the older the patient is. Only few studies on elderly patients in intensive care have included nonagenarians, who if included, only accounted for a small proportion of the study population. Especially long-term outcomes have not been studied.

This study investigated, to the best of our knowledge, the largest cohort of nonagenarians treated in the ICU and aims to analyze a large cohort of ≥90-year-old patients and their outcomes and risk factors influencing outcome.

Methods

Setting

The University Medical Center Hamburg-Eppendorf is a tertiary-level medical center with 1460 hospital beds and a volume of more than 80,000 in-patients per year. The Department of Intensive Care Medicine includes 11 ICUs with a total capacity of 132 ICU beds. Approximately, 8000 patients are admitted to the department per year, with an average length of stay in the ICU of 4.5 days. The Department of Intensive Care Medicine serves all adult critically ill patients of the university hospital and offers the maximum level of treatment to medical and surgical ICU patients.

Study design

All patients ≥90 years admitted to our department between 1 January 2008 and 30 June 2013 were eligible for study inclusion. If a patient was admitted to the ICU several times, this was considered as one case, and admission data only for the first ICU admission were analyzed. The following data were extracted from the electronic patient data management system [Intregrated Care Manager© (ICM), Dräger Medical, Lübeck, Germany]: Age, gender, place of residence, the presence of an advance directive, main reason of admission, comorbidities, length of ICU and hospital stay, treatment modalities and organ support (mechanical ventilation, use of catecholamines, renal replacement therapy, blood transfusions, antibiotics), discharge information, ICU- and hospital mortality as well as the occurrence of withholding life support.

Severity of illness was assessed using the Simplified Acute Physiology Score II (SAPS II). ICU and hospital mortality were analyzed, and the main outcome variable was 28-day mortality. ICU mortality rates were compared to those of all patients between 80 and 89 years admitted to the ICU during the study period.

To obtain survival data at 1 year after hospital discharge, we contacted survivors or their relatives by phone. If the patient or the next of kin could not be contacted, information was obtained from the patients’ general practitioner, their nursing homes, or the registration office.

The study was approved by the institutional review board (ethics committee of the Hamburg Chamber of Physicians, WF-0561/13). Due to the retrospective character of the study, patient’s consent was not necessary according to local requirements.

Statistics

Data are presented either as median and interquartile ranges (IQR) or as absolute numbers with percentages. Binary variables were compared with Chi Square-Analysis or Fisher’s exact, as appropriate. Metric variables were compared with the Mann–Whitney-U-Test. 28-day survival was assessed using the Kaplan–Meier method and Cox proportional hazard regression model. The Kaplan–Meier method was used to estimate survival curves, and log-rank test was used to test for differences between survival curves. The results of the Cox proportional hazard regression analysis are expressed with hazard ratios (HR). We included following parameters in the analysis: sex, scheduled surgery, unscheduled surgery, medical admission, mechanical ventilation, catecholamine therapy, renal replacement therapy, age, pH, leukocytes, creatinine, bilirubin, and hemoglobin. Parameters that were significant in prediction for 28-day mortality in the univariate analysis (p < 0.05) were included in the multivariate analysis. A two-sided p value of <0.05 was considered statistically significant. Statistical analysis was conducted using IBM SPSS Statistics Version 20.0.

Results

A total of 34,392 patients were treated in the Department of Intensive Care Medicine during the study period. A total of 372 (1.1 %) patients were ≥90 years old. The median age was 92.2 years (IQR 91.0–94.2), and the proportion of female patients was 66.7 %. Before ICU admission, 230 patients (61.8 %) lived at home, 128 (34.4 %) in nursing homes, and 14 (3.7 %) at assisted living facilities.

248 patients (66.7 %) were admitted to the ICU as an emergency admission, of which 50 % underwent unscheduled surgery. 33.3 % of patients (n = 124) were admitted following elective surgery. Trauma (28.8 %), cardiac diseases (21.5 %), and gastrointestinal diseases (10.5 %) were the most frequent causes of ICU admission. A detailed list of all patients’ characteristics is shown in Table 1. The average SAPS II score within 24 h of ICU admission was 36 (IQR 29–48). 90.9 % of patients were anemic (Hb < 13 g/dl for men, <12 g/dl for woman), 51.5 % of patients presented with leucocytosis (>11.5 Mrd/l), and 46.7 and 22.9 % showed elevated levels of serum-creatinine and -bilirubin (>1.1 mg/dl), respectively. Acidosis occurred in 53.2 % of cases within 24 h after ICU admission.
Table 1

Patient characteristics

Characteristics

All patients

ICU survivors

ICU-non-survivors

p value

Number

372

304

68

 

Age (years), MD (IQR)

92.2 (91–94.3)

92.2 (90.9–94.4)

92.3 (91–93.3)

0.858

Female, n (%)

248 (66.7)

211 (69.4)

37 (54.4)

0.018

Unplanned surgery, n (%)

121 (32.5)

101 (33.2)

20 (29.4)

0.544

Planned surgery, n (%)

124 (33.3)

117 (38.5)

7 (10.3)

<0.001

Medical, n (%)

127 (34.1)

86 (28.3)

41 (60.3)

<0.001

SAPS II, MD (IQR)

36 (29–48)

34 (28–43)

55 (44.8–65.8)

<0.001

Admission source, n (%)

 Normal ward

227 (61.0)

195 (64.1)

32 (47.1)

0.009

 Emergency room

127 (34.1)

97 (31.9)

30 (44.1)

0.055

 Other hospital

18 (4.8)

12 (3.9)

6 (8.8)

0.09

Admission diagnosis, n (%)

 Trauma

107 (28.8)

100 (32.9)

7 (10.3)

<0.001

 Cardiac surgery

43 (11.6)

39 (12.8)

4 (5.9)

0.105

 Abdominal surgery

39 (10.5)

31 (10.2)

8 (11.8)

0.703

 CPR

26 (7.0)

13 (4.3)

13 (19.1)

<0.001

 Sepsis

30 (8.1)

19 (6.3)

11 (16.2)

0.007

 Pneumonia

11 (3.0)

7 (2.3)

4 (5.9)

0.115

 Myocardial infarction

18 (4.8)

13 (4.3)

5 (7.4)

0.285

 Arrhythmia and heart failure

19 (5.1)

15 (4.9)

4 (5.9)

0.748

 Neurologic

22 (5.9)

15 (4.9)

7 (10.3)

0.09

 Cerebral hemorrhage

6 (1.6)

2 (0.7)

4 (5.9)

0.012

 Pulmonary embolism

5 (1.3)

5 (1.6)

0

0.589

 Surgical, miscellaneousa

41 (11.0)

38 (12.5)

3 (4.4)

0.054

 Others (medical)b

21 (5.6)

16 (5.3)

5 (7.4)

0.582

Comorbidity, n (%)

 Arterial hypertension

246 (66.1)

204 (67.1)

42 (61.8)

0.4

 Cardiac diseasesc

185 (49.7)

150 (49.3)

35 (51.5)

0.751

 Chronic heart failure

82 (22.0)

65 (21.4)

17 (25.0)

0.515

 Cardiac arrhythmia

116 (31.2)

95 (31.3)

21 (30.9)

0.953

 Valvular heart diseases

38 (10.2)

31 (10.2)

7 (10.3)

0.981

 Coronary heart disease

95 (25.5)

75 (24.7)

20 (29.4)

0.418

 Chronic renal insufficiency

83 (22.3)

64 (21.1)

19 (27.9)

0.217

 Neurodegenerative disease

79 (21.2)

68 (22.4)

11 (16.2)

0.259

 Diabetes

47 (12.6)

40 (13.2)

7 (10.3)

0.521

 Respiratory diseases

45 (12.1)

32 (10.5)

13 (19.1)

0.079

 Cancer

28 (7.5)

23 (7.6)

5 (7.4)

0.952

 Skeletal system disorders

39 (10.5)

31 (10.2)

8 (11.8)

0.703

 Thyroid disorders

39 (10.5)

35 (11.5)

4 (5.9)

0.171

 Mental disorders

18 (4.8)

15 (4.9)

3 (4.4)

0.856

ICU intensive care unit, MD median, IQR interquartile range, CPR Cardiopulmonary resuscitation

asurgical interventions on the spine, blood vessels, skin, and the head and neck region

bRenal failure, side-effects of medication, electrolyte imbalance, vascular diseases and diseases of the head and neck region, conservatively treated gastrointestinal bleeding

cCases of >1 heart diseases were regarded as n = 1

Clinical course

The median length of stay in the ICU and in the hospital was 1.4 days (IQR 0.8–2.7) and 11 days (IQR 7–17), respectively. A total of 148 patients (39.8 %) were mechanically ventilated, of these 34 (9.1 %) were on non-invasive ventilation. Catecholamine support was applied in 148 patients (39.8 %). 25 patients (6.7 %) developed acute renal failure and of these 7 patients (1.9 %) received renal replacement therapy during their ICU stay (Table 2). Five of these patients had been on intermittent hemodialysis for end-stage renal disease already prior to hospital admission. 114 patients (30.6 %) required antibiotic therapy.
Table 2

procedures on ICU

Procedure, n (%)

All patients

length (h) MD (IQR)

ICU survivors

ICU-non-survivors

p value

Mechanical ventilation

148 (39.8)

12.5 (4.5–34)

91 (29.9)

57 (83.8)

<0.001

Catecholamines

148 (39.8)

20 (7–43.75)

96 (31.6)

52 (76.5)

<0.001

Blood transfusion

76 (20.4)

 

57 (18.8)

19 (27.9)

0.089

Renal replacement

7 (1.9)

 

3 (1)

4 (5.9)

0.007

Total

213 (57.3)

 

150 (49.3)

63 (92.6)

<0.001

ICU intensive care unit, MD median, IQR interquartile range

Short-term outcomes

ICU and hospital mortality were 18.3 and 30.9 %, respectively.

Non-survivors had higher severity of disease as illustrated by SAPS II (55.8 vs. 36.1), were more likely to be male (25 vs. 14.9 %), and had more frequent unscheduled surgery or medical reasons for ICU admission (Table 1). Annual mortality rates are presented in Fig. 1.
Fig. 1

Trends in admission and mortality. Absolute number, mortality, and proportion of nonagenarians in intensive care over time

In-patients who were admitted twice (n = 28), hospital mortality was 45.5 %. Five patients (1.3 %) were admitted three times and had a mortality rate of 80 %. 65 patients (17.5 %) had an advance directive. The decision to withhold or withdraw therapy was made in 92 patients (24.7 %). The main area of withholding therapy was pre-existing or subsequently made “Do Not Resuscitate” (73.8 %) and “Do Not Intubate” (47.8 %) orders.

In a Cox regression proportional hazard analysis in regard to 28-day survival creatinine, bilirubin, age, and necessity of catecholamine therapy were independent risk factors for worse 28-day outcome; scheduled surgery was a protective factor. Details are illustrated in Table 3a and 3b.
Table 3

Cox regression proportional hazard analysis for factors influencing 28-day survival

Variables

Hazard-ratio (95 % CI)

p value

Univariate analysis for 28-day outcome

 Planned surgery

0.242 (0.143–0.409)

<0.001

 Medical admission

2.156 (1.515–3.068)

<0.001

 Unplanned surgery

1.357 (0.945–1.948)

0.098

 Mechanical ventilation

3.186 (2.216–4.58)

<0.001

 Catecholamines

2.602 (1.819–3.722)

<0.001

 Renal replacement

1.379 (0.438–4.335)

0.583

 Age

1.085 (1.022–1.151)

0.008

 Sex (female)

0.753 (0.524–1.081)

0.124

 pH

0.829 (0.626–1.097)

0.189

 Leukocytes

1.032 (1.007–1.0579

0.01

 Creatinine

1.328 (1.168–1.511)

<0.001

 Hemoglobin

0.97 (0.872–1.079)

0.576

 Bilirubin

1.435 (1.186–1.736)

<0.001

Multivariate analysis for 28-day outcome

 Planned surgery

0.439 (0.225–0.856)

0.016

 Medical

1.125 (0.665–1.902)

0.661

 Mechanical ventilation

1.513 (0.819–2.796)

0.186

 Catecholamines

2.224 (1.195–4.139)

0.012

 Age

1.14 (1.045–1.243)

0.003

 Leukocytes

1.017 (0.986–1.049)

0.276

 Creatinine

1.224 (1.033–1.45)

0.02

 Bilirubin

1.281 (1.046–1.569)

0.017

CI Confidence interval

All parameters at ICU admission

147 patients (55.1 %) were transferred to other hospitals either for further treatment or rehabilitation before moving to their final discharge destination. Details of outcomes and discharge destinations are shown in Table 4.
Table 4

Clinical course and outcome

Results

n

%

ICU mortalitya

68

18.3

Hospital mortalitya

115

30.9

Unplanned surgery

46

38

Planned surgery

15

12.1

Medical admission

54

42.5

Withholding and/or withdrawal of therapy

93

25

Discharge destination

  

Home

122

47.5

Nursing care facilities

101

39.3

Short-term nursing care

17

6.6

Unknown

17

6.6

28-day mortality

149

40.1

90-day mortality

176

47.3

1-year mortality

242

65.1

aThe latest stay was considered for calculation

ICU intensive care unit

ICU-outcome in the 80–89 age group

2234 octogenarians were admitted to the ICU in the same period, which account for 6.5 % of all ICU admissions. The median age was 85.6 years (IQR 83.9–87.4), 1288 (57.7 %) were female. Median length of stay was 1.8 days (IQR 0.9–4.0), ICU mortality was 16.6 % (n = 370). ICU mortality did not differ significantly between nonagenarians and octogenarians (p = 0.412).

Mid- and long-term outcomes

Long-term survival follow-up (Fig. 2) was available for 242 of 257 hospital survivors (94.2 %) and overall 357 patients. 3 months and 1 year after discharge, 196 patients (52.7 %) and 130 patients (34.9 %) of the initial study population were still alive. Surgical patients had a better one-year survival than patients admitted for medical reasons (planned surgery: 48.4 %, unplanned surgery: 33.1 % vs. 23.6 % (medical), p < 0.001).
Fig. 2

Survival from Intensive care unit (ICU) admission. Kaplan–Meier survival curve: patients after medical admission (blue), planned surgery (green) and unplanned surgery (gray). Groups were compared via Log-rank test (p < 0.01)

The impact of selected factors in regard to 1 year survival is illustrated in Table 5.
Table 5

Factors influencing long-term survival

Parameter

1 year survivors

1-year non-survivors

p value

Age (years), median (IQR)

92.9 (92–95.4)

91.4 (90.7–93.1)

0.101

Female (%)

75.4

61.2

0.006

Unplanned surgery (%)

30.8

33

0.659

Planned surgery (%)

46.2

26

<0.001

Medical (%)

23.1

41

0.001

Admission diagnosis

 Trauma (%)

33.8

25.6

0.095

 Gastrointestinal (%)

12.3

8.4

0.229

 Tumor (%)

10.0

9.7

0.925

 Pulmonary (%)

3.8

7.5

0.168

 Neurological (%)

3.8

7.9

0.13

 Cardiopulmonary resuscitation (%)

3.1

9.3

0.028

 Cardiac (%)

24.6

18.1

0.14

 Sepsis (%)

1.5

9.7

0.003

 Others

6.9

4

0.219

Comorbidity

 Arterial hypertension (%)

70.0

63.9

0.24

 Cardiac diseases (%)

47.7

50.7

0.589

 Chronic heart failure (%)

19.2

22.9

0.416

 Cardiac arrhythmia (%)

27.7

33.9

0.223

 Valvular heart disease (%)

12.3

8.4

0.229

 Chronic renal insufficiency (%)

14.6

25.6

0.016

 Neurodegenerative diseases (%)

21.8

78.2

0.002

 Diabetes (%)

13.1

12.8

0.935

 Respiratory diseases (%)

7.7

14.5

0.056

 Cancer (%)

5.4

8.8

0.239

 Skeletal system disorders (%)

9.2

11

0.595

 Thyroid disorders (%)

16.2

7.5

0.011

 Mental disorders (%)

1.5

7

0.022

Procedures on ICU

 Mechanical ventilation (%)

26.2

47.6

<0.001

 Catecholamines (%)

29.2

45.8

0.002

 Blood transfusion (%)

14.6

24.2

0.031

 Renal replacement therapy (%)

0.8

2.6

0.219

 SAPS 2, median (IQR)

33 (28–44)

42 (33–53)

<0.001

pH, median (IQR)

7.35 (7.29–7.45)

7.34 (7.25–7.45)

<0.001

Bilirubin, median (IQR)

0.7 (0.5–1.1)

0.8 (0.5–1.1)

0.406

Hemoglobin, median (IQR)

9.8 (8.6–10.8)

9.6 (8.2–10.7)

0.016

Leukocytes, median (IQR)

11.9 (8.4–15.7)

11.3 (8.4–15.5)

0.048

Creatinine, median (IQR)

1.1 (0.8–1.4)

1.2 (0.9–1.8)

<0.001

Discussion

This study evaluated the characteristics and outcomes of the largest cohort of nonagenarians in ICU published to date and provided data on their long-term survival.

Despite the fact that elderly patients are increasingly been treated in the intensive care environment, there is a lack of information available about their prognosis and outcome.

The 81.7 % ICU-, 70 % hospital-, and 35 % one-year survival rates stand in contrast to and challenge widespread beliefs about the poor short- and long-term prognosis of nonagenarians admitted to the ICU. Especially the hospital mortality rates of patients undergoing planned surgery were remarkably low, whereas the outcome worsened after unplanned ICU admission and especially after ICU readmission. Within the group of nonagenarians, creatinine, bilirubin, age, and necessity of catecholamine therapy cause of admission were independent factors for 28-day outcome. Not surprisingly, the 18.3 % ICU mortality of the study group of very elderly ICU patients was higher than that of the departments overall ICU mortality of 9 %. This age-related mortality risk is in line with many other outcome studies on a wide variety of critically ill ICU populations. Whereas several studies have identified age as an independent risk factor for ICU mortality [6, 7, 1216], other studies have found the severity of illness and comorbidities to be more important risk factors than age itself [5, 1720].

Analyzing data from a large Austrian database (n = 17,126), Ihra et al. found a significantly higher hospital mortality rate in patients older than 80 years in comparison to patients younger than 80 years (31.0 vs. 15.9 %) [5]. Only few observational studies have analyzed the outcome of the nonagenarians (≥90 years). Demoule et al. examined 36 patients ≥90 years in a French ICU. ICU and hospital mortality were 28 and 47 %, respectively [21]. Rellos et al. analyzed 60 patients ≥90 years in a Greek ICU, which accounted for 1.1 % of all ICU admissions. The average length of stay in ICU and hospital was 5 and 23 days, respectively, with an ICU mortality of 20 % [22]. Other studies with data of patients >85 years demonstrated ICU mortality rates ranging from 14.6 [6] to 36.6 % [7].

The comparability between all these studies is limited by differences in the study settings and health care systems resulting in different ICU admission policies and practices. Additionally, some studies analyzed predominantly elderly patients with unplanned ICU admissions [6], explaining differences in mortality rates between studies. In contrast, the present study included all very elderly patients treated in the ICU. One possible contributing reason for a higher mortality rate in elderly ICU patients is the fact that the decision to limit or withhold therapy occurs more frequently among elderly ICU patients. Accordingly, Seder et al. found increasing rates of withholding and withdrawal of life support in the ICU with advanced age [23], and Al-Dorzi et al. observed a more frequent application of Do Not Resuscitate- orders in patients >80 years [24]. In line with these previous findings, we recorded a quarter of very elderly ICU patients not receiving maximal therapy on the basis of an advanced directive and/or a presumed poor prognosis.

Patients admitted to the ICU following scheduled surgery had lower mortality rates than patients with unscheduled admission. Correspondingly, other studies observed the best outcome in the scheduled surgery group among very elderly patients [22, 25]. Additionally, admission for unplanned surgery was a predictor for poor outcome [25]. The differences in mortality between the three subgroups can be partly explained by the severity of acute illness. Accordingly, we observed the highest mortality rates in patients following medical admission.

At present, the average life expectancy of a 90-year-old German person is 3.8 years for men and 4.3 years for woman, and life expectancy at an age of 95 years still is 2.7 to 3 years [26]. Approximately, one-third of our entire study population was still alive at 1 year after ICU discharge. Similar findings were made by recent studies with one-year survival rates among elderly ICU patients ranging from 28 to 56 % [25, 2730].

Limited ICU resources are one of the main reasons for controversial discussions about the accessibility of intensive care treatment for elderly patients [9]. However, findings of the recently published ELDICUS study suggest that of all patients, elderly subjects have a high benefit from ICU treatment [12].

Our study cohort represented only 1.1 % of all departmental ICU admissions from 2008 to 2013. However, the proportion of elderly patients is expected to constantly rise as a result of the demographic transition and this will also affect intensive care medicine [5, 11]. Thus, intensivists will increasingly have to cope with the special challenges of an increasingly aging ICU population and related aspects, such as multimorbidity, polypharmacy, and ethical questions. Our patients were hospitalized mainly for traumatic causes and cardiovascular diseases. Corresponding findings were made by prior studies [57, 11], especially the incidence of cardiovascular diseases particularly increases with advanced age [31].

The results of our study have to be interpreted with caution due to the following limitations: Because of the single-center study design, results may not be generalizable to other settings. The relatively good survival rates of our nonagenarian ICU patients may have been the result of a preselection bias of restrictions to ICU admission decisions in this age group. This important aspect was outside the scope of this study. Furthermore, our follow-up data do not provide insights into quality of life and functional status after hospital discharge. Other study groups found, that both, quality of life and autonomy in activities of daily living among elderly ICU survivors were deemed to be satisfactory [28, 32]. Further and larger multicenter studies on the long-term outcome of elderly ICU patients with regard to survival and quality of life are warranted.

Conclusion

Nearly 70 % of patients aged ≥90 years were discharged alive from hospital following treatment at the ICU and more than one-third were still alive 1 year after their discharge. The results suggest that long-term survival prognosis of very elderly ICU patients may be not as poor as often perceived. Chronological age per se should not be an exclusion criterion for ICU admission. Instead, the biological age, an achievable therapeutic goal and the patient’s will ought to play a major role in the decision-making process. Then, intensive care treatment may be justified even for patients with shorter life expectancy than the general population.

Notes

Abbreviations

ICU: 

intensive care unit

IQR: 

interquartile range

CI: 

confidence interval

ROC: 

receiver operating characteristic

SAPS II: 

Simplified Acute Physiology Score II

SPSS: 

Statistical Package for the Social Sciences

Declarations

Authors’ contributions

SB carried out the data acquisition, participated in the design of the study, and drafted the manuscript. JM contributed to data acquisition and in the design of the study and drafted the manuscript. VF performed and interpreted the statistical analysis and drafted the manuscript. GH and SB participated in its design and coordination and helped to draft the manuscript. SK conceived of the study, and participated in its design and coordination and revised the manuscript. All authors read and approved the final manuscript.

Acknowledgements

None.

Competing interests

The authors declare that they have no competing interests.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors’ Affiliations

(1)
Department of Intensive Care Medicine, University medical center Hamburg-Eppendorf
(2)
Department of Anesthesia, University medical center Hamburg-Eppendorf

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© Becker et al. 2015

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