Skip to main content
The Korean Journal of Internal Medicine logoLink to The Korean Journal of Internal Medicine
. 2017 Jun 26;32(4):675–681. doi: 10.3904/kjim.2015.331

Outcomes of very elderly (≥ 80 years) critical-ill patients in a medical intensive care unit of a tertiary hospital in Korea

Seung Hun Lee 1, Tae Won Lee 1, Sunmi Ju 1, Jung-Wan Yoo 1, Seung Jun Lee 1, Yu Ji Cho 1, Yi Yeong Jeong 1, Jong Deog Lee 1, Ho Cheol Kim 1,
PMCID: PMC5511932  PMID: 28651311

Abstract

Background/Aims

This study evaluated clinical characteristics and outcomes in very elderly (≥ 80 years of age) critical-ill patients admitted to a medical intensive care unit (MICU) in a regional single tertiary hospital.

Methods

We retrospectively evaluated prospectively collected data in the MICU for the period of December 2011 to May 2014. Patients were divided into ≥ 80 and < 80 years of age and clinical characteristics and outcomes were compared among these patients.

Results

A total of 468 patients were evaluated and 102 patients (21.7%) were ≥ 80 years of age. Overall mortality was 38.5% in the intensive care unit (ICU) and 44.7% in the hospital. There was no significant difference in ICU and in-hospital mortalities between those ≥ 80 years and those < 80 years (34.9% vs. 39.5% for ICU mortality; 40.6% vs. 45.9% for in-hospital mortality). Lengths of ICU and hospital stays were significantly longer in patients < 80 years compared to patients ≥ 80 years (10.57 ± 19.96 days vs. 8.19 ± 8.78 days for ICU stay; 27.95 ± 39.62 days vs. 18.17 ± 15.44 days for hospital stay). The rate of withholding intensive care in hospital stay over 48 hours was significantly higher in patients ≥ 80 years compared to patients < 80 years (22.9% vs. 11.8%). In multivariate analysis, weaning failure and withdrawal or withholding of intensive care in ICU was significantly related to death in patients with age ≥ 80.

Conclusions

Clinical outcomes were not significantly different for very elderly critical-ill patients compared to those of their younger counterparts in the MICU in this study.

Keywords: Aged, Intensive care units, Outcomes

INTRODUCTION

People aged 65 and older are the fastest growing segment in worldwide. As the older population increases, the number of elderly patients who receive critical care services is expected to increase substantially over the next 10 to 20 years. Patients will be older, often with decreased functional reserves and increased comorbidities, and older patients are more likely to be died and discharge to nursing hospital or homes [1-3].

The very old patients age 80 and older, are the most rapidly growing age group because of accelerating aging population in Korea [4]. There has been reported recently some demographic study for intensive care unit (ICU) in Korea [5-7]. These studies described the general characteristics and epidemiologic survey for current status of ICU in Korea. Focusing to very elderly patients in ICU was lacking [7]. There this study evaluated clinical characteristics and outcomes in very elderly (≥ 80 years of age) critical-ill patients admitted to a medical intensive care unit (MICU) in a regional single tertiary hospital in Korea.

METHODS

Patients

All critical-ill patients who were admitted to the MICU at Gyeongsang National University Hospital (hospital total, 890 beds; MICU, 13 to 15 beds) between December 2011 and May 2014 were retrospectively studied. The admission was decided by attending physician according to general criteria of ICU admission [8]. There was no age limitation for admission to ICU. Before admission, consents were received from patients’ family or caregiver.

The study population was divided into two groups by age: ≥ 80 and < 80 years of age. Patient demographic and clinical characteristic data were prospectively collected and compared retrospectively these data between two groups. The following data were analyzed: sociodemographic data, such as age, sex, body mass index (BMI), and chronic underlying disease; the reason for admission, severity of illness, as measured by the Acute Physiology and Chronic Health Evaluation II (APACHE II) and Sequential Organ Failure Assessment (SOFA) at admission [9]; length of ICU and hospital stay; and outcome data, including survival status at ICU and hospital discharge. There was no written ICU admission policy regarding patient’s age.

Statistical analysis

All data were analyzed using SPSS version 21.0 (IBM Co., Armonk, NY, USA). Categorical data are presented as frequencies and percentages. For continuous variables, mean ± standard deviation were used. Independent t test (continuous variables) and chi-square test (categorical variables) were used for univariate analysis when comparing age groups and survivors and non-survivors group. All variables showing p < 0.05 in the univariate analysis were considered for multivariate analysis, using multiple logistic regression analysis. We performed multivariate analysis to adjust for prognostic variables, including mechanical ventilation, time in ventilator, number of withhold or withdraw life-sustaining treatments, surgery, SAPS III (Simplified Acute Physiology Score III), and comorbidity.

RESULTS

A total of 481 patients were admitted to the MICU during the study period. Of these, 13 were excluded because of insufficient medical record, and total of 468 patients were evaluated. A hundred and two patients (21.7%) were ≥ 80 years of age. Overall mortality was 38.5% in the ICU and 44.7% in the hospital in whole patient’s population. Table 1 was presented with baseline characteristics of enrolled patients.

Table 1.

Baseline characteristics of enrolled patients

Characteristic Value
No. of patients 468
Age, yr 68.6 ± 13.9 (18–94)
Age ≥ 80 years old 106 (22.6)
Sex, female/male 162/306
BMI, kg/m2 21.5 ± 3.9 (12.2–39.6)
APACHE II score 18.8 ± 8.8 (3–51)
SOFA score 7.9 ± 4.4 (0–22)
Duration of MV, day 9.6 ± 17.0 (0–286)
ICU LOS, day 10.0 ± 18.1 (0–293)
Hospital LOS, day 25.7 ± 35.8 (0–353)
ICU death 180 (38.5)
In-hospital death 209 (44.7)

Values are presented as mean ± SD (range) or number (%).

BMI, body mass index; APACHE II, Acute Physiology and Chronic Health Evaluation II; SOFA, Sequential Organ Failure Assessment; MV, mechanical ventilation; ICU, intensive care unit; LOS, length of stay.

Comparison of patients aged less than 80 and over 80

Data are presented in Table 2. Mean age was 64.1 years for the younger group (< 80 years) and 83.8 years for patients ≥ 80 years. Male was more common in younger age group than in the older group (69.6% vs. 50.9%). BMI and SOFA score at admission were higher than in younger age group than in the older group (21.5 ± 4 vs. 20.7 ± 3.7 and 8.2 ± 8.9 vs. 17.6 ± 8.3). As underlying disease, diabetes, liver disease, and renal disease were more common in younger age group than in the older group (35.9% vs. 23.6%, 16% vs. 4.7%, and 27.3% vs. 17%). Malignant disease was also more common in younger age group than in the older group (14.1% vs. 7.5%). As a clinical outcome, duration of hospital stay was longer in younger age group than in the older group (27.95 ± 39.63 days vs. 18.17 ± 15.45 days). Mortality rate in ICU and hospital between younger age group and the older group were not significantly different (34.9% vs. 39.5% and 40.6% vs. 45.9%). The rate of weaning failure and unplanned extubation were also not significantly different between younger age group and the older group. Transfusion was performed more commonly in younger age group than in the older group (41.4% vs. 27.4%). Withdrawal or withholding of intensive care in ICU stayed over 48 hours were more common in the older group than in younger age group (22.9% vs. 11.8%, p = 0.012).

Table 2.

Comparison of baseline characteristics between age ≥ 80 and age < 80

Characteristic Age ≥ 80 (n = 106) Age < 80 (n = 362) p value
Age, yr 83.82 ± 3.45 64.12 ± 12.53 0.000
Male sex 54 (50.9) 252 (69.6) 0.000
Body mass index 20.73 ± 3.71 21.45 ± 4.00 0.021
SOFA score 6.80 ± 3.98 8.21 ± 4.47 0.004
APACHE II score 17.61 ± 8.30 19.18 ± 8.97 0.109
Diabetes mellitus 25 (23.6) 130 (35.9) 0.018
Heart disease 26 (24.5) 63 (17.4) 0.100
Liver disease 5 (4.7) 58 (16.0) 0.003
Renal disease 18 (17.0) 99 (27.3) 0.030
Malignancy 8 (7.5) 51 (14.1) 0.074
Neurovascular disease 12 (11.3) 45 (12.4) 0.759
Severe sepsis/septic shock 32 (30.5) 130 (36.4) 0.262
ARDS 21 (19.8) 52 (14.4) 0.174
MV (invasive) 105 (99.1) 345 (95.3) 0.077
Duration of MV, day 8.33 ± 8.56 10.00 ± 18.78 0.379
ICU stay, day 8.19 ± 8.78 10.57 ± 19.97 0.079
Hospital stay, day 18.17 ± 15.45 27.95 ± 39.63 0.000
Death in ICU 37 (34.9) 143 (39.5) 0.392
Death in hospital 43 (40.6) 166 (45.9) 0.335
Death, < 48 hours after ICU admission (n = 148) 13/33 (39.4) 62/115 (53.9) 0.141
Weaning failure 28 (26.4) 87 (24.0) 0.616
Unplanned extubation 7 (6.6) 23 (6.4) 0.926
Tracheostomy 6 (5.7) 44 (12.2) 0.322
Re-intubation 8 (7.5) 35 (9.7) 0.506
Renal replacement therapy 20 (18.9) 93 (25.7) 0.149
Transfusion 29 (27.4) 150 (41.4) 0.009
Withdrawal or withholding of intensive care in ICU 23 (21.7) 54 (14.9) 0.098

Values are presented as mean ± SD or number (%).

SOFA, Sequential Organ Failure Assessment; APACHE II, Acute Physiology and Chronic Health Evaluation II; ARDS, acute respiratory distress syndrome; MV, mechanical ventilation; ICU, intensive care unit.

Comparison between survivors and non-survivors in patients with age over 80

Characteristics of survivors and non-survivors are summarized in Table 3. SOFA and APACHE II score indicated that non-survived group had a considerable severity of the acute illness at admission (9.11 ± 4.35 vs. 5.57 ± 3.17 and 21.59 ± 8.34 vs. 15.48 ± 7.51). As underling disease, renal disease and rate of severe sepsis and septic shock were more common in the older group than in younger age group. Non-survivors had significantly more renal replacement therapy and requirement of transfusion (32.4% vs. 11.6% and 45.9% vs. 17.4%). Non-survivors had a significantly higher degree of withhold or withdraw life-sustaining treatments (40.5% vs. 11.6%). In multivariate analysis, weaning failure and withdrawal or withholding of intensive care in ICU was significantly related to death with an odds ratio of 6.968 (95% confidence interval [CI], 1.905 to 25.488; p = 0.003) and 8.141 (95% CI, 1.937 to 34.225; p = 0.004) (Table 4).

Table 3.

Comparison of baseline characteristics between survived and non-survived in patient with ≥ 80 age

Characteristic Survivor (n = 69) Non-survivor (n = 37) p value
Age, yr 83.88 ± 3.47 83.70 ± 3.46 0.798
Male sex 33 (47.8) 21 (56.8) 0.381
Body mass index 20.78 ± 3.49 20.64 ± 4.13 0.854
SOFA score 5.57 ± 3.17 9.11 ± 4.35 0.000
APACHE II score 15.48 ± 7.51 21.59 ± 8.34 0.000
Diabetes mellitus 15 (21.7) 10 (27.0) 0.541
Heart disease 20 (29.0) 6 (16.2) 0.145
Liver disease 2 (2.9) 3 (8.1) 0.228
Renal disease 7 (10.1) 11 (29.7) 0.010
Malignancy 4 (5.8) 4 (10.8) 0.352
Neurovascular disease 6 (8.7) 6 (16.2) 0.244
Severe sepsis/septic shock 13 (19.1) 19 (51.4) 0.001
ARDS 9 (13.0) 12 (32.4) 0.000
MV (invasive) 68 (98.6) 37 (100) 0.462
Weaning failure 9 (13.0) 19 (51.4) 0.000
Unplanned extubation 7 (10.1) 0 0.045
Tracheostomy 4 (5.8) 2 (5.4) 0.568
Re-intubation 8 (11.6) 0 0.031
Renal replacement therapy 8 (11.6) 12 (32.4) 0.009
Transfusion 12 (17.4) 17 (45.9) 0.002
Withdrawal or withholding of intensive care in ICU 8 (11.6) 15 (40.5) 0.001

Values are presented as mean ± SD or number (%).

SOFA, Sequential Organ Failure Assessment; APACHE II, Acute Physiology and Chronic Health Evaluation II; ARDS, acute respiratory distress syndrome; MV, mechanical ventilation; ICU, intensive care unit.

Table 4.

Multiple logistic regressions for risk of non-survivor in ICU of ≥ 80 years old patients

Factor OR (95% CI) p value
SOFA score 0.936 (0.756–1.158) 0.541
APACHE II score 0.950 (0.870–1.038) 0.254
Renal disease 1.431 (0.289–7.092) 0.660
Severe sepsis/septic shock 2493 (0.646–9.623) 0.185
ARDS 1.422 (0.343–5.889) 0.627
Weaning failure 6.968 (1.905–25.488) 0.003
Unplanned extubation 0 0.990
Re-intubation 0.936 (0.756–1.158) 0.990
Renal replacement therapy 2.244 (0.384–13.126) 0.370
Transfusion 2.573 (0.667–9.929) 0.170
Withdrawal or withholding of intensive care in ICU 8.141 (1.937–34.225) 0.004

ICU, intensive care unit; OR, odds ratio; CI, confidence interval; SOFA, Sequential Organ Failure Assessment; APACHE II, Acute Physiology and Chronic Health Evaluation II; ARDS, acute respiratory distress syndrome.

DISCUSSION

In this study, a substantial portion of patients admitted in the ICU were age over 80 and in these patients stayed over 48 hours, percentage of withhold or withdrawal of sustained treatment were significant higher in these patients and weaning failure and withdrawal or withholding of intensive care in ICU was significantly related to death in these patients.

In our study, over 20% of patients admitted ICU were age over 80s. A few studies for survey for evaluating population in ICU were assessed in Korea. Thirty-eight ICUs of training hospital data showed that age over 65 years compromised 53% of the adult patients of ICU and age over 85 years were 3.7% [6]. The high proportion of ≥ 80-year-old patients in this study was explained by the characteristic of population in the province located in hospital. In this province located in the hospital, it is characterized with high rate of aged population over 65 years, estimated 20% or over. In addition, the hospital was only one tertiary hospital in this territory of the province. So, many critical-ill patients were transfer from local regional hospital in this area to our hospital.

Age is important prognostic factor in critical-ill patients and most studies compared outcome of very elderly ICU patients showed high mortality rate was noted in ≥ 80 aged patient [1,10]. However, several studies did not showed difference of mortality rate in elderly ICU patients [7,11]. In this study, there was no difference of ICU and in-hospital mortality between age over 80 and age less than 80. However, organ failure assessment like SOFA as ICU admission was lower in patients with age ≥ 80 than in patients with age < 80. With adjusting of severity of critical illness, we assumed that the higher ICU and in-hospital morality were expected in patients with age ≥ 80. Lower organ failure index at admission in patients with age ≥ 80 were explained that very critical-ill patients with organ failure was not devoted to ICU treatment with usually family decision and coexistence severe underling condition or disease. High critical illness severity score and more common comorbidity in younger patients at ICU admission can be explained with same context in our study.

Less severe critical illness with ≥ 80 age admitting to the ICU may cause shortage of ICU facility and delayed admission of more severe critical ill patients. The shortage of ICU bed was common problem in tertiary hospital in Korea. Elderly patients with less severe critical illness admitted to ICU may cause less chance of critical care in ICU with relatively younger age patients. It may increase the morbidity and mortality rate in these patients.

Although the mortality rate was not significantly different in both group, the duration of hospital stay were significantly longer in < 80 age patients than in ≥ 80 age patients. This can be explained by that. When the patients ≥ 80 age were transferred to general ward with the recovery of their critical illness, their family usually request the transfer to local nursing care facility or hospital and go back to home for home care.

As we expected, high rate of withdrawal or withholding of intensive care in ≥ 80 age patients with ICU stay ≥ 48 hours were observed in patients < 80 age in this study. In addition, high rate of withdrawal or withholding of intensive care in ICU was significantly associated with death in ICU. The less requirement of transfusion in ≥ 80 age patients were explained same context with high rate of withdrawal or withholding of intensive care in these patients.

Although American College of Chest Physician consensus statement has a recommendation for end-of-life care, consensus or guideline of end-of-life care has been lacked in Asian country. The report from survey including 1,465 physicians in ICU, there was quite variable attitude and practice across the country and regions [12]. According to this report, do-not-resuscitate orders implementation was associated with religions like Protestant and Catholics. In Korea, uncomfortable feeling for end-of-life care with ICU patient’s family and religious background may cause less implementation of end-oflife care and DNR (do not resuscitation) order in ICU. So, guideline should be needed to assist decision making process in end-of-life care in Korea. Limitation of life sustained treatment in elderly critical-ill patients in ICU is ethical and controversial issue. In international survey for ICU physicians, most physician disagree that age should be used as a sole criteria and specific age for life sustained decision making [13].

In this study, extubation failure were independent predictor of death in patients with ≥ 80. Extubation failure has well known to be associated with poor clinical outcomes with high mortality rate [14,15]. This study showed consistent finding with previous study. This study addressed the importance of extubation failure as a predictor of poor clinical outcome in especially in very elderly patients. Physician knows the more importance and deleterious effect of extubation failure in very elderly patients and be more cautious before extubation. In other studies showed that the age is an important factor that determines the rate of reintubation after unplanned extubation [16].

There was some limitation in our study. First, because of single center study, over 20% of elderly patients admitted ICU can be over estimate than other tertiary hospital because of regional population characteristics of the hospital. Second, because exact guideline of withholding or withdrawal of left support care was not established in ICU of the hospital, decision to withhold the life support was determined by family request or clinician’s subjective thinking. Third, although the data was collected prospective, analysis was evaluated retrospectively. So, the outcome should be assessed prospectively for large number of elderly patients.

In conclusion, a substantial portion of patients admitted in the ICU were age over 80 and weaning failure and withdrawal or withholding of intensive care in ICU was significantly related to death in these patients. The outcome should be evaluated in the future prospective study.

KEY MESSAGE

1. Over 20% of patients admitted intensive care unit (ICU) were ≥ 80 years of age.

2. There was no significant difference in ICU and in-hospital mortalities between those ≥ 80 years and those < 80 years.

3. Weaning failure and withdrawal or withholding of intensive care in ICU was significantly related to death in patients with ≥ age 80.

Acknowledgments

This work was supported by Development Fund Foundation, Gyeongsang National University, 2015.

Footnotes

No potential conflict of interest relevant to this article was reported.

REFERENCES

  • 1.Bagshaw SM, Webb SA, Delaney A, 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]
  • 2.Jakob SM, Rothen HU. Intensive care 1980-1995: change in patient characteristics, nursing workload and outcome. Intensive Care Med. 1997;23:1165–70. doi: 10.1007/s001340050474. [DOI] [PubMed] [Google Scholar]
  • 3.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]
  • 4.Statistics Korea . Daejeon (KR): Statistics Korea; c1996. Population census: complete enumeration results of the 2015 population and housing census [Internet] [cited 2017 May 17]. Available from: http://kostat.go.kr/portal/eng. [Google Scholar]
  • 5.Jeong BH, Suh GY, An JY, et al. Clinical demographics and outcomes in mechanically ventilated patients in Korean intensive care units. J Korean Med Sci. 2014;29:864–870. doi: 10.3346/jkms.2014.29.6.864. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Kwak SH, Jeong CW, Lee SH, Lee HJ, Koh Y. Current status of intensive care units registered as critical care subspecialty training hospitals in Korea. J Korean Med Sci. 2014;29:431–437. doi: 10.3346/jkms.2014.29.3.431. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Sim YS, Jung H, Shin TR, Kim DG, Park SM. Mortality and outcomes in very elderly patients 90 years of age or older admitted to the ICU. Respir Care. 2015;60:347–355. doi: 10.4187/respcare.03155. [DOI] [PubMed] [Google Scholar]
  • 8.Smith G, Nielsen M. ABC of intensive care: criteria for admission. BMJ. 1999;318:1544–1547. doi: 10.1136/bmj.318.7197.1544. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Moreno R, Morais P. Outcome prediction in intensive care: results of a prospective, multicentre, Portuguese study. Intensive Care Med. 1997;23:177–186. doi: 10.1007/s001340050313. [DOI] [PubMed] [Google Scholar]
  • 10.Fuchs L, Chronaki CE, Park S, et al. ICU admission characteristics and mortality rates among elderly and very elderly patients. Intensive Care Med. 2012;38:1654–1661. doi: 10.1007/s00134-012-2629-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Somme D, Maillet JM, Gisselbrecht M, Novara A, Ract C, Fagon JY. Critically ill old and the oldest-old patients in intensive care: short- and long-term outcomes. Intensive Care Med. 2003;29:2137–2143. doi: 10.1007/s00134-003-1929-2. [DOI] [PubMed] [Google Scholar]
  • 12.Phua J, Joynt GM, Nishimura M, et al. Withholding and withdrawal of life-sustaining treatments in intensive care units in Asia. JAMA Intern Med. 2015;175:363–371. doi: 10.1001/jamainternmed.2014.7386. [DOI] [PubMed] [Google Scholar]
  • 13.Guidet B, Hodgson E, Feldman C, et al. The Durban World Congress Ethics Round Table Conference Report. II. Withholding or withdrawing of treatment in elderly patients admitted to the intensive care unit. J Crit Care. 2014;29:896–901. doi: 10.1016/j.jcrc.2014.08.004. [DOI] [PubMed] [Google Scholar]
  • 14.Epstein SK, Ciubotaru RL, Wong JB. Effect of failed extubation on the outcome of mechanical ventilation. Chest. 1997;112:186–192. doi: 10.1378/chest.112.1.186. [DOI] [PubMed] [Google Scholar]
  • 15.Rothaar RC, Epstein SK. Extubation failure: magnitude of the problem, impact on outcomes, and prevention. Curr Opin Crit Care. 2003;9:59–66. doi: 10.1097/00075198-200302000-00011. [DOI] [PubMed] [Google Scholar]
  • 16.Chen CM, Chan KS, Fong Y, et al. Age is an important predictor of failed unplanned extubation. Int J Gerontol. 2010;4:120–129. [Google Scholar]

Articles from The Korean Journal of Internal Medicine are provided here courtesy of Korean Association of Internal Medicine

RESOURCES