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Determinants of hospital and one-year mortality among older patients admitted to intensive care units: results from the multicentric SENIOREA cohort

Annals of Intensive Care volume 11, Article number: 35 (2021) Cite this article

Abstract

Background

Improving outcomes of older patients admitted into intensive care units (ICU) is a raising concern. This study aimed at determining which geriatric and ICU parameters were associated with in-hospital and long-term mortality in this population.

Methods

We conducted a prospective multicentric observational cohort study, including patients aged 75 years and older requiring mechanical ventilation, admitted between September 2012 and December 2013 into ICU of 13 French hospitals. Comprehensive geriatric assessment at ICU admission and ICU usual parameters were registered in a standardized manner. Survival was recorded and comprehensive geriatric assessment was updated after 1 year during a dedicated home visit.

Results

501 patients were analyzed. 108 patients (21.6%) died during the hospital stay. One-year survival rate was 53.8% (IC 95% [49.2%; 58.2%]). Factors associated with increased in-hospital mortality were higher acute illness severity score, resuscitated cardiac arrest as primary ICU diagnosis, perception of anxiety and low quality of life by the proxy, and living in a chronic care facility before ICU admission. Among patients alive at hospital discharge, factors associated with increased 1-year mortality in multivariate analysis were longer duration of mechanical ventilation, all primary ICU diagnoses other than septic shock, a Katz-activities of daily living (ADL) score below 5 and living in a chronic care facility before ICU admission. Among the 163 survivors at 1 year who received a second comprehensive geriatric assessment, the ADL score (functional abilities) showed a significant but moderate decline over time, whereas the Mini-Zarit score (family burden) improved. No significant change in patients’ place of life was observed after 1 year, and quality of life was reported as happy-to-very-happy in 88% of survivors.

Conclusions

The mortality rate remains high among older ICU patients requiring mechanical ventilation. Factors associated with short- and long-term mortality combined geriatric and ICU criteria, which should be jointly evaluated in routine care.

Clinical trial registration NCT01679171

Background

Admission of elderly patients represents around 15% of all patients admitted into intensive care units (ICU) [1, 2]. Efforts to improve older patient care and outcomes thus become a major concern for intensivists. These patients raise the problem of their profile and resilience which can vary considerably, due to a wide range of comorbidities and acute diseases [3, 4]. Such variance impacts both the short- and long-term outcomes [5]. Moreover, most recent interventional trials in the ICU failed to show any relevant effects, justifying a call for more personalized care, which may be all the more relevant in older patients [6]. Indeed, taking into account all the features of older patients may help to provide the most appropriate care from the decision to ICU admission, ICU organ support initiation and post-ICU care. We hypothesized that the prognosis of older patients admitted into ICU may depend on both geriatric and ICU parameters, and that these parameters may combine differently for predicting short- and long-term outcomes.

In this multicentric longitudinal prospective observational ICU-based cohort study, we aimed at determining, among a wide array of geriatric and ICU characteristics at admission, which factors were associated with short- and long-term mortality (in-hospital and 1-year mortality) in patients aged 75 years and older admitted into ICU and requiring mechanical ventilation. In addition, we aimed at refining the 1-year outcomes beyond survival using patients’ evaluation on the place of life.

Methods

Participants

We studied participants of the SENIOREA cohort study, a French large observational prospective multicentric cohort study designed to better understand the contribution of ICU in older patients in terms of long-term survival and quality of life. From September 2012 to December 2013, all consecutive subjects aged 75 years and older, requiring initiation of mechanical ventilation (either invasive or non-invasive) over the 48 h following admission, were recruited in 13 ICUs in Western France. Follow-up included patients and the most relevant proxy for each included patient when available. The Angers People Protection Committee (Comité de Protection des Personnes Ouest II) approved the study (No. 2012/09). Requirement for mechanical ventilation was retained as a marker of acute severity and being the most frequent organ support justifying ICU admission [2]. Non-French-speaking patients were excluded as well as patients living outside Western part of France, and patients already included in the study. According to patients’ preference when possible, one proxy was selected as the “corresponding proxy”. Patients and corresponding proxies received oral and written information and written consent was obtained for both before inclusion. In case of a patient unable to consent, the proxy gave consent for him/herself and for the patient’ participations. Written consent of the patient was obtained as soon as deemed possible considering the patient status. In the absence of any proxy, patients could be included only if they could consent by themselves at ICU admission.

ICU measures

Baseline demographic characteristics were registered and all patients underwent an admission comprehensive geriatric assessment through interview of the proxy and review of available medical files in the 48 h following ICU admission. This standardized assessment covered 13 health components: comorbidity assessed with the Cumulative Illness Rating Scale for Geriatrics score (CIRS-G) [7], frailty (assessed using the Study of Osteoporotic Fracture (SOF) Criteria for Frailty, a score of 0 suggests robust, of 1 suggests prefrail, and higher or equal to 2 suggests frailty [8]), family burden (Mini-Zarit score [9]), activities of daily living (ADL) score [10], Instrumental Activities of Daily Living (IADL) score [11], nutritional status (body mass index), and perceived quality of life assessed through the single last question from the Perceived quality of life scale “To your opinion, how happy was the patient?” with a 5-point response scale from extremely unhappy to very happy [12]. History of falls (number of falls occurrence in the previous year), cognitive disorders, anxiety and depression were assessed through closed questions (for example: “To your opinion, was the patient anxious most of the time: yes/no?”) (see Additional file 1). Proxies were interrogated on their estimation of the best status in the 3 preceding months. In the absence of a proxy, the patient, the corresponding physician and all implicated caregivers were interviewed. On the first 24 h of ICU admission, acute severity parameters allowing to calculate SOFA (Sepsis-related Organ Failure Assessment) and SAPS II (Simplified Acute Physiology Score II) scores [13, 14], and the main diagnosis (selected in a pre-defined list of ICU diagnosis) were collected. At the end of hospital stay, duration of organ support, hospital length of stay, withdrawal of care decision, site of discharge and in-hospital mortality were collected.

One-year follow-up

At 1 year after ICU admission, deaths were ascertained from an informant during a telephone interview and/or by reviewing obituaries with a completion rate of 100%. In survivors, a home-based comprehensive geriatric assessment was proposed to the patient and the corresponding proxy at 1 year after hospital discharge. Upon agreement of the patients, a trained research assistant arranged an on-site evaluation of the patient and the corresponding proxy directly in his/her living space. The home-based comprehensive geriatric assessment explored the same 13 health components as previously cited, using validated scores: depression through the Geriatric Depression Scale-4 items (4-item GDS, a score equal or higher than 2/4 suggests depressive state) [15], anxiety using the Covi Anxiety Scale (a score equal or higher than 6/15 is suggestive for anxiety) [16], mobility with the Five Times Sit-to-Stand test [17], cognition with the Mini-Mental State Examination (a score under 25 was considered for the diagnosis of cognitive disorder) [18], and pain with the Verbal Rating Scale [19]. The proxy was specifically interrogated on the family burden (Mini-Zarit score, a score equal or higher than 2/7 is suggestive for a heavy family burden [9]). Such a home visit conducted by a research assistant after a hospitalization in ICU had already demonstrated its feasibility and ability to collect contributory information in the pilot pre-SENIOREA study [20].

Statistical analyses

Categorical data were presented as percentages and compared using Fisher exact tests while the groups compared were independent, or using tests of symmetry for comparisons of paired data. Continuous data were presented as mean ± standard deviation and compared using Kruskal–Wallis rank tests for independent data or Friedman tests for paired data.

To identify factors associated with hospital mortality and 1-year mortality as hazard ratios (HRs), Cox regression models were computed. For the factors associated with 1-year mortality, only patients who were discharged alive from the hospitalization were included in the analysis. The assumption of proportional hazards was tested by analyzing Schoenfeld residuals [21]. In the first step, univariate analyses were conducted for every inclusion characteristics variable independently of each other. In the second step, multivariate Cox regression models were built using variables with p value < 0.2 in univariate analysis. When covariates were strongly correlated, only one was kept in the multivariate model, based on clinical considerations (for example, SOFA and IGS-II could not both be included in the model, only IGS-II was kept). Continuous variables were kept as continuous for descriptive purpose in univariate analyses, but only categorized data were kept in multivariate analysis (for example IADL, divided in IADL under 4 and equal or above 4).

All tests were two sided, with a type I error set at 0.05. Analyses were performed using Stata 14.2 (StataCorp LP, College Station, TX).

Results

Five hundred and eight patients were initially included in the study, 6 patients were secondarily excluded due to erroneous inclusion in the absence of mechanical ventilation and one patient withdrew his consent at the end of the ICU stay. Thus 501 patients were finally entered in the analysis (see Fig. 1 for flowchart of the study).

Fig. 1
figure 1

Flowchart of the study

Full size image

Baseline characteristics, admission comprehensive geriatric assessment and ICU/hospital data are presented in Tables 1 and 2, respectively. Patients included in the SENIOREA study were old (mean age 80.4 ± 4.1 years), seriously ill (admission SAPS II 54 ± 17) with a need for mechanical ventilation (invasive or not) in all patients, in accordance with the inclusion criteria. More than 90% of patients lived at home, with disability (ADL < 5) in 22%.

Table 1 Baseline characteristics and admission comprehensive geriatric assessment of the 501 included patients
Full size table
Table 2 ICU characteristics of the 501 patients included in the SENIOREA study
Full size table

The 1-year survival rate for the 501 patients initially admitted in the ICU was 53.8% (IC 95% [49.2%; 58.2%]). Kaplan–Meier curve is presented in Fig. 2. One hundred and eight patients (21.6%) died during the ICU stay. Limitation of life sustaining therapies was decided in 135 patients, in whom 89 died during the hospitalization. Among the sub-sample of the 371 patients discharged alive from the hospital, one-year survival rate was 72.8% (IC 95% [68.2%; 77.3%]).

Fig. 2
figure 2

Kaplan–Meier survival curve of the patients included in the SENIOREA study

Full size image

Among the 270 survivors at 1 year, the “at home” comprehensive geriatric assessment could be completed in 163 patients (60%). Table 3 shows baseline and one-year data of these patients. The ADL score showed significant but moderate decline over time, whereas Mini-Zarit score (family burden) improved at 1 year. Of note, there was no significant change in patients site of living after 1 year, and quality of life was reported as happy-to-very-happy in 88% of survivors. By contrast 84% of patients had a Geriatric Depression Scale ≥ 2, indicating depressive symptoms. Data showed a low frequency of pain, anxiety and cognitive impairment.

Table 3 Characteristics of survivors after 1 year of follow-up
Full size table

In multivariate analysis, factors associated with increased in-hospital mortality (see Table 4 for univariate and multivariate analyses) were higher acute illness severity score, resuscitated cardiac arrest as primary ICU diagnosis, perception of anxiety and of low quality of life by the proxy, living in a chronic care facility before ICU admission. Among patients alive at hospital discharge, factors associated with increased one-year mortality (see Table 5) in multivariate analysis, were longer duration of mechanical ventilation, all primary ICU diagnoses other than septic shock, a Katz-ADL below 5 and living in a chronic care facility before ICU admission.

Table 4 Determinants associated with in-hospital mortality using Cox cause-specific model
Full size table
Table 5 Determinants associated with one-year mortality among patients who survived to hospitalization using Cox cause-specific model
Full size table

Discussion

This French large multicentric prospective cohort study showed that among older patients admitted into ICU with a need for mechanical ventilation, survival rate at one year was 54% and quality of life in these survivors seemed preserved. Mortality was associated with combinations of ICU and geriatric parameters. These parameters differed slightly for short- and long-term mortality. Living in a chronic facility care and primary ICU diagnoses were associated with both short- and long-term vital outcomes, in-hospital mortality was rather related to acute severity on admission and perception by the proxy of low quality of life in the months preceding admission, whilst one-year survival was related to the duration of organ support during the ICU stay and to functional abilities before ICU admission.

The impact of various pre-morbid conditions—referred to as frailty, geriatric condition, pre-morbid functional status, or loss of independence, among others—on ICU and short-term mortality in older patients has already been the matter of some research [5, 22,23,24,25]. Only few studies have performed yet a standardized comprehensive geriatric assessment in older ICU patients [20, 25] with a long-term follow-up, which is a major strength of the present study. In the largest prospective observational study conducted so far to assess the factors associated with 1-month mortality, Guidet et al. reported in multivariate analysis that frailty (Clinical Frailty Scale), SOFA, diagnosis and age were prognostic factors [26]. We confirm and extend these data by showing that a similar combination of ICU and geriatric parameters also predicts long-term survival. The fact that not exactly the same parameters were associated with short- and long-term outcomes is interesting: functional abilities before admission may predict long-term resilience after an acute event, which may be hampered by a prolonged requirement for organ support. Frailty and/or low quality of life may rather impair short-term resistance and/or willingness to survive to acute disease, all the more that this disease is severe. The poor outcome after resuscitated cardiac arrest due to cerebral lesions explains its major short-term impact, on the contrary the possibility of a total cure of an infectious event contrasts with irreversible organ damage (acute or pre-existing) often associated with other acute diseases such as cardiogenic shock, COPD exacerbation, coma.

One-year survival (54%) was relatively high compared to other studies in older patients, even more that we selected patients requiring mechanical ventilation. Most previous studies disclosed a 30% one-year survival in very old patients (i.e., aged 80 and older), even though proportion of patients requiring ventilation was below 70% [27, 28]. Recent improvement in the prognosis of older patients has been shown in several studies, with one-year survival rate close to that observed in our study [22, 25, 29]. Obviously, care of older patients, from triage to ICU care, is evolving very rapidly and update data are permanently required. Beyond survival, much controversy has emerged as to whether a surviving older patient after ICU care is a real success considering the risk of altered trajectory of life after ICU care [30]. Most longitudinal studies yielded mixed results, showing either acceptable or poor long-term quality-of-life [25]. However, these previous investigations have been limited by single-center enrolment, small sample sizes, and use of non-validated functional outcome measures. The relative good one-year prognosis observed in our study is reassuring, and, if ADL was lower at 1 year, we observed conversely that family burden was lower. This may suggest a global improvement in the global home care. Although it is indubitable that long-term functional and quality of life outcomes should remain a major concern, our study shows that one-year survival can be considered as a good proxy for ICU “success” in older patients. The discrepancy between perceived quality of life (happy/very happy) and the presence of depressive symptoms is, however, noticeable. It is likely due to the difference between the “constructing self” and the “experiencing self”. Experiencing self refers to the everyday “objective” feelings, interrogated here by the specific geriatric depression scale assessing symptoms. Constructing self refers to the perception of the value of his own life, this is interrogated by the perceived quality of life. Our results confirm that perceived and experienced quality of life are two different items that may not align [31]. In older patients, although everyday life is hampered by multiple concerns (pain, restricted mobility, social isolation, etc.), life itself may be cherished.

This study suffers from several biases, some of which have been already addressed. The number of patients who were not included in the absence of exclusion criteria is not negligible, and may induce a selection bias. Physicians aware that the goal of the study was to observe long-term outcome, may have been reluctant to include patients that they felt very unlikely to survive. This potential bias may have led to overestimate survival. Several years elapsed between inclusion period and publication of this article, and the clinical picture may accordingly have changed.

Comprehensive geriatric assessment, based on an extensive collection of data is a strength of our study. However, it may be hardly feasible in routine practice, although collecting such data should be considered as good medical practice. Shorter dedicated standardized questionnaires could be used in this perspective. In this setting, we have chosen tools for this evaluation that could be used easily at bedside: for example, the perceived quality of life is simple, albeit not validated among older patients [32]. Elsewhere, the SOF was chosen as it is one of the feasible tool in the ICU, and because it exhibits very good diagnostic efficiency to predict falls, disability, fracture and mortality risks compared to more complex tools such as the consensual Fried score [8].

Finally, an important proportion of surviving patients could not be evaluated at home after 1 year. A similar bias was observed in previous studies, illustrating the difficulty of achieving the long-term follow-up of ICU patients [25].

Conclusions

In this study, one-year survival in older patients admitted into ICU and requiring mechanical ventilation was 54%, with satisfactory functional outcomes. Living in a chronic care facility before ICU admission impacted both short- and long-term outcomes. Admission for resuscitated cardiac arrest, low perceived quality of life and ICU severity score correlated with in-hospital mortality; duration of mechanical ventilation and low previous functional abilities were associated with higher one-year mortality in hospital survivors.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

ADL:

Activities of Daily Living

CIRS-G:

Cumulative Illness Rating Scale for Geriatrics score

COPD:

Chronic obstructive pulmonary disease

GDS:

Geriatric Depression Scale

IADL:

Instrumental Activities of Daily Living

ICU:

Intensive care unit

SAPS II:

Simplified Acute Physiology Score II

SOF:

Study of Osteoporotic Fracture

SOFA:

Sepsis-related Organ Failure Assessment

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Acknowledgements

Not applicable.

Funding

This work was funded by an institutional grant from the University Hospitals of the Western France (Programme Hospitalier de Recherche Clinique Interrégional des Hôpitaux Universitaire du Grand Ouest 2011). The funding had no role in the design nor in the conduct of the study.

Author information

Authors and Affiliations

  1. Service de Médecine Intensive Réanimation et Médecine Hyperbare, Centre Hospitalier Universitaire, 4, Rue Larrey, 49933, Angers Cedex 9, France

    Julien Demiselle & Nicolas Lerolle

  2. Department of Geriatric Medicine, Angers University Hospital, 4 rue du Larrey, 49933 cedex 9, Angers, France

    Guillaume Duval & Cédric Annweiler

  3. Angers University Memory Clinic, Research Center on Autonomy and Longevity, UPRES EA 4638, University of Angers, 4 rue du Larrey, 49933 cedex 9, Angers, France

    Guillaume Duval & Cédric Annweiler

  4. Maison de la Recherche, Centre Hospitalier Universitaire, 4, Rue Larrey, 49933, Angers Cedex 9, France

    Jean-François Hamel

  5. Service de Réanimation Médicale, Centre Hospitalier Universitaire, Boulevard Tanguy Prigent, 29609, Brest, France

    Anne Renault

  6. Hôpital Bretonneau, Service de Réanimation Médicale, Centre Hospitalier Régional Universitaire de Tours, 2 Bis Boulevard Tonnellé, 37044, Tours Cedex 09, France

    Laetitia Bodet-Contentin

  7. Service de Réanimation Polyvalente, Centre Hospitalier Départemental Vendée-Hôpital de La-Roche-sur-Yon, Les Oudairies, 85925, La-Roche-sur-Yon Cedex 09, France

    Laurent Martin-Lefèvre

  8. Service de Réanimation Médico-Chirurgicale, Centre Hospitalier du Mans, 194 Avenue Rubillard, 72037, Le Mans Cedex 09, France

    Dominique Vivier

  9. Hôtel-Dieu, Service de Médecine Intensive et Réanimation, Centre Hospitalier Universitaire de Nantes, 30 bd Jean Monnet, 44093, Nantes, France

    Daniel Villers

  10. Centre Hospitalier Des Pays de Morlaix, Service de Réanimation Polyvalente, 15, Rue de Kersaint Gilly, BP 97237, 29672, Morlaix Cedex, France

    Montaine Lefèvre

  11. CHU de Poitiers, Service de Réanimation Médicale, 2, Rue de la Milétrie, CS 90577, 86021, Poitiers Cedex, France

    René Robert

  12. Centre Hospitalier de Cholet, Service de Réanimation Polyvalente, 1 Rue de Marengo, BP 507, 49325, Cholet Cedex, France

    Philippe Markowicz

  13. Centre Hospitalier Universitaire de Rennes, Hôpital Pontchaillou, Unité de Réanimation Médicale, 2, Rue Henri Le Guilloux, 35033, Rennes Cedex 9, France

    Sylvain Lavoué

  14. Centre Hospitalier de Saint Brieuc, Service de Réanimation Polyvalente, 10, Rue Marcel Proust, BP 2367, 22027, Saint Brieux Cedex 01, France

    Anne Courte

  15. Centre Hospitalier Bretagne Atlantique, 20 Boulevard Général Maurice Guillaudot, BP 70555, 56017, Vannes Cedex, France

    Eddy Lebas

  16. Centre Hospitalier de Saint Malo, Service de Réanimation Polyvalente, 1, Rue de la Marne, 35403, Saint Malo Cedex, France

    Stéphanie Chevalier

  17. Robarts Research Institute, Department of Medical Biophysics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, ON, Canada

    Cédric Annweiler

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  1. Julien Demiselle
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  2. Guillaume Duval
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  5. Laetitia Bodet-Contentin
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  9. Montaine Lefèvre
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Contributions

JD and GD interpreted data of the work and drafted the manuscript, JFH analyzed and interpreted data of the work and revised the manuscript, AR, DP, LML, DV, DV, ML, RR, SL, AC, EL, SC participated in the acquisition of data for the work, and revised the manuscript, CA and NL designed the study, led the acquisition, analysis and interpretation of data, drafted the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Nicolas Lerolle.

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The Angers People Protection Committee (Comité de Protection des Personnes Ouest II) approved the study (No. 2012/09).

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Not applicable.

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The authors declare that they have no competing interests with this work.

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Supplementary Information

Additional file 1.

Proxy’s questionnaire for patient’s initial assessment at ICU admission.

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Demiselle, J., Duval, G., Hamel, JF. et al. Determinants of hospital and one-year mortality among older patients admitted to intensive care units: results from the multicentric SENIOREA cohort. Ann. Intensive Care 11, 35 (2021). https://doi.org/10.1186/s13613-021-00804-w

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