Is this critically ill patient elderly or too old?

Very old patients in the ICU in Latin America: A narrative review

The population of very elderly patients (aged 80 years and older) in intensive care units (ICUs) is steadily growing. These patients have unique physiological, cognitive, functional, and social characteristics that affect their entire ICU course. Immobility, delirium, dysphagia, malnutrition, and polypharmacy are among the most common geriatric syndromes in these patients, and they contribute to a higher risk of acute and long-term functional decline and mortality. Risk assessment in very elderly patients is complex, as traditional ICU scoring systems do not account for frailty and baseline disability, making difficult the determination of likely benefits, futility, or harm with ICU interventions. The importance of shared decision-making for treatment plans is critical, as very elderly patients and their families may have uncertain or unrealistic prognostic awareness and expectations of ICU care. Considering the gap between the rapid aging of the population and the socio-health development in Latin America, this population is an important determinant of stress on healthcare systems, however, data on these population is scarce. This review, based on a comprehensive literature search, summarizes recent evidence on triage for ICU admission, specific clinical characteristics, predictive elements of prognosis, and ICU and post-ICU outcomes for very elderly patients while also analyzing the challenges to improve management in the Latin American region.

Limitation of Non-Beneficial Interventions and their Impact on the Intensive Care Unit Costs

Introduction

Using a plan to limit non-beneficial life support interventions has significantly reduced harm and loss of dignity for patients at the end of life. The association of these limitations with patients' clinical characteristics and health care costs in the intensive care unit (ICU) needs further scientific evidence.

Aim of the study

To explore decisions to limit non-beneficial life support interventions, their correlation with patients' clinical data, and their effect on the cost of care in the ICU.

Material and Methods

We included all patients admitted to the general ICU of a hospital in Greece in a two-year (2019-2021) prospective study. Data collection included patient demographic and clinical variables, data related to decisions to limit (withholding, withdrawing) non-beneficial interventions (NBIs), and economic data. Comparisons were made between patients with and without limitation decisions.

Results

NBIs were limited in 164 of 454 patients (36.12%). Patients with limitation decisions were associated with older age (70y vs. 62y; p<0,001), greater disease severity score (APACHE IV, 71 vs. 50; p<0,001), longer length of stay (7d vs. 4.5d; p<0,001), and worse prognosis of death (APACHE IV PDR, 48.9 vs. 17.35; p<0,001). All cost categories and total cost per patient were also higher than the patient without limitation of NBIs (9247,79€ vs. 8029,46€, p<0,004). The mean daily cost has not differed between the groups (831,24€ vs. 832,59€; p<0,716). However, in the group of patients with limitations, all cost categories, including the average daily cost (767.31€ vs. 649.12€) after the limitation of NBIs, were reduced to a statistically significant degree (p<0.001).

Conclusions

Limiting NBIs in the ICU reduces healthcare costs and may lead to better management of ICU resource use.

Defining ICD-10 surrogate variables to estimate the modified frailty index: a Delphi-based approach

BACKGROUND

There are currently no validated globally and freely available tools to estimate the modified frailty index (mFI). The widely available and non-proprietary International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) coding could be used as a surrogate for the mFI. We aimed to establish an appropriate set of the ICD-10 codes for comorbidities to be used to estimate the eleven-variable mFI.

METHODS

A three-stage, web-based, Delphi consensus-building process among a panel of intensivists and geriatricians using iterative rounds of an online survey, was conducted between March and July 2021. The consensus was set a priori at 75% overall agreement. Additionally, we assessed if survey responses differed between intensivists and geriatricians. Finally, we ascertained the level of agreement.

RESULTS

A total of 21 clinicians participated in all 3 Delphi surveys. Most (86%, 18/21) had more than 5-years' experience as specialists. The agreement proportionately increased with every Delphi survey. After the third survey, the panel had reached 75% consensus in 87.5% (112/128) of ICD-10 codes. The initially included 128 ICD-10 variables were narrowed down to 54 at the end of the 3 surveys. The inter-rater agreements between intensivists and geriatricians were moderate for surveys 1 and 3 (κ = 0.728, κ = 0.780) respectively, and strong for survey 2 (κ = 0.811).

CONCLUSIONS

This quantitative Delphi survey of a panel of experienced intensivists and geriatricians achieved consensus for appropriate ICD-10 codes to estimate the mFI. Future studies should focus on validating the mFI estimated from these ICD-10 codes.

TRIAL REGISTRATION

Not applicable.

Intensive Care Unit prioritization: The impact of ICU bed availability on mortality in critically ill patients who requested ICU admission in court in a Brazilian cohort

PURPOSE

To assess hospital mortality in patients who requested ICU admission in court due to the scarcity of ICU beds in the Brazilian public health system and the consequences of these judicial litigations.

MATERIAL AND METHODS

Retrospective cohort study that included adult patients from the public health system of the Federal District, Brazil, who claimed ICU admission in court from January 2017 to December 2019.

RESULTS

Of the 1752 patients, 1031 were admitted to ICU (58.8%). Hospital mortality was 61.1% (1071/1752). Of the requests, 768 (43.8%) were made by patients with priority levels III or IV, resulting in the ICU admission of 33.9% of these patients. Denial of ICU admission (p < 0.001) increased mortality. ICU admission reduced hospital mortality in patients classified as priority level I (p < 0.001), priority level II (p < 0.001), and priority level III (p < 0.001), but not as priority level IV (p = 0.619).

CONCLUSION

A large proportion of patients was denied ICU admission and it was associated with an increased mortality. A considerable portion of the ICU-admitted patients were classified as priority level III and IV, impairing the ICU admission of patients with priority level I which are the ones with the greatest benefit from it.

Premorbid functional status as a predictor of 1-year mortality and functional status in intensive care patients aged 80 years or older

PURPOSE

We assessed the association between the premorbid functional status (PFS) and 1-year mortality and functional status of very old intensive care patients.

METHODS

Using a nationwide quality registry, we retrieved data on patients treated in Finnish intensive care units (ICUs) during the period May 2012‒April 2013. Of 16,389 patients, 1827 (11.1%) were very old (aged 80 years or older). We defined a person with good functional status as someone independent in activities of daily living (ADL) and able to climb stairs without assistance; a person with poor functional status was defined as needing assistance for ADL or being unable to climb stairs. We adjusted for severity of illness and calculated the impact of PFS.

RESULTS

Overall, hospital mortality was 21.3% and 1-year mortality was 38.2%. For emergency patients (73.5% of all), hospital mortality was 28% and 1-year mortality was 48%. The functional status at 1 year was comparable to the PFS in 78% of the survivors. PFS was poor for 43.3% of the patients. A poor PFS predicted an increased risk of in-hospital death, adjusted odds ratio (OR) 1.50 (95% confidence interval, 1.07-2.10), and of 1-year mortality, OR 2.18 (1.67-2.85). PFS data significantly improved the prediction of 1-year mortality.

CONCLUSIONS

Of very old ICU patients, 62% were alive 1 year after ICU admission and 78% of the survivors had a functional status comparable to the premorbid situation. A poor PFS doubled the odds of death within a year. Knowledge of PFS improved the prediction of 1-year mortality.