Ten things to know about critically ill elderly patients

Updates on Post-Intensive Care Syndrome After Acute Respiratory Distress Syndrome: Epidemiology, Core Outcomes, Interventions, and Long-Term Follow-Up

Acute respiratory distress syndrome (ARDS) survivors often experience post-intensive care syndrome (PICS), is defined as new or worsened impairments in physical, cognitive and/or mental health status persisting beyond hospital discharge. These impairments negatively impact survivors' quality of life and their return to work or usual activities. Moreover, family members are also impacted as recognized by the term, PICS-Family (PICS-F). PICS poses an increased burden on the health care system and has a negative societal impact. There are ongoing efforts to understand risk factors for PICS-related impairments; design and evaluate interventions for specific impairments (including the use of an ARDS survivorship core outcome set); and refine and evaluate ICU recovery clinics to support and treat survivors and their families.

Sublingual microcirculatory assessment on admission independently predicts the outcome of old intensive care patients suffering from shock

Shock is a life-threatening condition. This study evaluated if sublingual microcirculatory perfusion on admission is associated with 30-day mortality in older intensive care unit (ICU) shock patients. This trial prospectively recruited ICU patients (≥ 80 years old) with arterial lactate above 2 mmol/L, requiring vasopressors despite adequate fluid resuscitation, regardless of shock cause. All patients received sequential sublingual measurements on ICU admission (± 4 h) and 24 (± 4) hours later. The primary endpoint was 30-day mortality. From September 4th, 2022, to May 30th, 2023, 271 patients were screened, and 44 included. Patients were categorized based on the median percentage of perfused small vessels (sPPV) into those with impaired and sustained microcirculation. 71% of videos were of good or acceptable quality without safety issues. Patients with impaired microcirculation had significantly shorter ICU and hospital stays (p = 0.015 and p = 0.019) and higher 30-day mortality (90.0% vs. 62.5%, p = 0.036). Cox regression confirmed the independent association of impaired microcirculation with 30-day mortality (adjusted hazard ratio 3.245 (95% CI 1.178 to 8.943, p = 0.023). Measuring sublingual microcirculation in critically ill older patients with shock on ICU admission is safe, feasible, and provides independent prognostic information about outcomes.Trial registration NCT04169204.

The critically ill older patient with sepsis: a narrative review

Sepsis is a significant public health concern, particularly affecting individuals above 70 years in developed countries. This is a crucial fact due to the increasing aging population, their heightened vulnerability to sepsis, and the associated high mortality rates. However, the morbidity and long-term outcomes are even more notable. While many patients respond well to timely and appropriate interventions, it is imperative to enhance efforts in identifying, documenting, preventing, and treating sepsis. Managing sepsis in older patients poses greater challenges and necessitates a comprehensive understanding of predisposing factors and a heightened suspicion for diagnosing infections and assessing the risk of sudden deterioration into sepsis. Despite age often being considered an independent risk factor for mortality and morbidity, recent research emphasizes the pivotal roles of frailty, disease severity, and comorbid conditions in influencing health outcomes. In addition, it is important to inquire about the patient's preferences and establish a personalized treatment plan that considers their potential for recovery with quality of life and functional outcomes. This review provides a summary of the most crucial aspects to consider when dealing with an old critically ill patient with sepsis.

Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation

BACKGROUND

Comorbidity, frailty, and decreased cognitive function lead to a higher risk of death in elderly patients (more than 65 years of age) during acute medical events. Early and accurate illness severity assessment can support appropriate decision making for clinicians caring for these patients. We aimed to develop ELDER-ICU, a machine learning model to assess the illness severity of older adults admitted to the intensive care unit (ICU) with cohort-specific calibration and evaluation for potential model bias.

METHODS

In this retrospective, international multicentre study, the ELDER-ICU model was developed using data from 14 US hospitals, and validated in 171 hospitals from the USA and Netherlands. Data were extracted from the Medical Information Mart for Intensive Care database, electronic ICU Collaborative Research Database, and Amsterdam University Medical Centers Database. We used six categories of data as predictors, including demographics and comorbidities, physical frailty, laboratory tests, vital signs, treatments, and urine output. Patient data from the first day of ICU stay were used to predict in-hospital mortality. We used the eXtreme Gradient Boosting algorithm (XGBoost) to develop models and the SHapley Additive exPlanations method to explain model prediction. The trained model was calibrated before internal, external, and temporal validation. The final XGBoost model was compared against three other machine learning algorithms and five clinical scores. We performed subgroup analysis based on age, sex, and race. We assessed the discrimination and calibration of models using the area under receiver operating characteristic (AUROC) and standardised mortality ratio (SMR) with 95% CIs.

FINDINGS

Using the development dataset (n=50 366) and predictive model building process, the XGBoost algorithm performed the best in all types of validations compared with other machine learning algorithms and clinical scores (internal validation with 5037 patients from 14 US hospitals, AUROC=0·866 [95% CI 0·851-0·880]; external validation in the US population with 20 541 patients from 169 hospitals, AUROC=0·838 [0·829-0·847]; external validation in European population with 2411 patients from one hospital, AUROC=0·833 [0·812-0·853]; temporal validation with 4311 patients from one hospital, AUROC=0·884 [0·869-0·897]). In the external validation set (US population), the median AUROCs of bias evaluations covering eight subgroups were above 0·81, and the overall SMR was 0·99 (0·96-1·03). The top ten risk predictors were the minimum Glasgow Coma Scale score, total urine output, average respiratory rate, mechanical ventilation use, best state of activity, Charlson Comorbidity Index score, geriatric nutritional risk index, code status, age, and maximum blood urea nitrogen. A simplified model containing only the top 20 features (ELDER-ICU-20) had similar predictive performance to the full model.

INTERPRETATION

The ELDER-ICU model reliably predicts the risk of in-hospital mortality using routinely collected clinical features. The predictions could inform clinicians about patients who are at elevated risk of deterioration. Prospective validation of this model in clinical practice and a process for continuous performance monitoring and model recalibration are needed.

FUNDING

National Institutes of Health, National Natural Science Foundation of China, National Special Health Science Program, Health Science and Technology Plan of Zhejiang Province, Fundamental Research Funds for the Central Universities, Drug Clinical Evaluate Research of Chinese Pharmaceutical Association, and National Key R&D Program of China.

Differences in directives to limit treatment and discontinue mechanical ventilation between elderly and very elderly patients: a substudy of a multinational observational study

PURPOSE

The aim of this study was to characterize differences in directives to limit treatments and discontinue invasive mechanical ventilation (IMV) in elderly (65-80 years) and very elderly (> 80 years) intensive care unit (ICU) patients.

METHODS

We prospectively described new written orders to limit treatments, IMV discontinuation strategies [direct extubation, direct tracheostomy, spontaneous breathing trial (SBT), noninvasive ventilation (NIV) use], and associations between initial failed SBT and outcomes in 142 ICUs from 6 regions (Canada, India, United Kingdom, Europe, Australia/New Zealand, United States).

RESULTS

We evaluated 788 (586 elderly; 202 very elderly) patients. Very elderly (vs. elderly) patients had similar withdrawal orders but significantly more withholding orders, especially cardiopulmonary resuscitation and dialysis, after ICU admission [67 (33.2%) vs. 128 (21.9%); p = 0.002]. Orders to withhold reintubation were written sooner in very elderly (vs. elderly) patients [4 (2-8) vs. 7 (4-13) days, p = 0.02]. Very elderly and elderly patients had similar rates of direct extubation [39 (19.3%) vs. 113 (19.3%)], direct tracheostomy [10 (5%) vs. 40 (6.8%)], initial SBT [105 (52%) vs. 302 (51.5%)] and initial successful SBT [84 (80%) vs. 245 (81.1%)]. Very elderly patients experienced similar ICU outcomes (mortality, length of stay, duration of ventilation) but higher hospital mortality [26 (12.9%) vs. 38 (6.5%)]. Direct tracheostomy and initial failed SBT were associated with worse outcomes. Regional differences existed in withholding orders at ICU admission and in withholding and withdrawal orders after ICU admission.

CONCLUSIONS

Very elderly (vs. elderly) patients had more orders to withhold treatments after ICU admission and higher hospital mortality, but similar ICU outcomes and IMV discontinuation. Significant regional differences existed in withholding and withdrawal practices.

A Simple Nomogram for Predicting Hospital Mortality of Patients Over 80 Years in ICU: An International Multicenter Retrospective Study

OBJECTIVES

This study aimed to develop and validate an easy-to-use intensive care unit (ICU) illness scoring system to evaluate the in-hospital mortality for very old patients (VOPs, over 80 years old).

METHODS

We performed a multicenter retrospective study based on the electronic ICU (eICU) Collaborative Research Database (eICU-CRD), Medical Information Mart for Intensive Care Database (MIMIC-III CareVue and MIMIC-IV), and the Amsterdam University Medical Centers Database (AmsterdamUMCdb). Least Absolute Shrinkage and Selection Operator regression was applied to variables selection. The logistic regression algorithm was used to develop the risk score and a nomogram was further generated to explain the score.

RESULTS

We analyzed 23 704 VOPs, including 3 726 deaths (10 183 [13.5% mortality] from eICU-CRD [development set], 12 703 [17.2%] from the MIMIC, and 818 [20.8%] from the AmsterdamUMC [external validation sets]). Thirty-four variables were extracted on the first day of ICU admission, and 10 variables were finally chosen including Glasgow Coma Scale, shock index, respiratory rate, partial pressure of carbon dioxide, lactate, mechanical ventilation (yes vs no), oxygen saturation, Charlson Comorbidity Index, blood urea nitrogen, and urine output. The nomogram was developed based on the 10 variables (area under the receiver operating characteristic curve: training of 0.792, testing of 0.788, MIMIC of 0.764, and AmsterdamUMC of 0.808 [external validating]), which consistently outperformed the Sequential Organ Failure Assessment, acute physiology score III, and simplified acute physiology score II.

CONCLUSIONS

We developed and externally validated a nomogram for predicting mortality in VOPs based on 10 commonly measured variables on the first day of ICU admission. It could be a useful tool for clinicians to identify potentially high risks of VOPs.

Enhanced surveillance of hospitalised COVID-19 patients in Europe: I-MOVE-COVID-19 surveillance network, February 2020 to December 2021

BackgroundIn early 2020, the I-MOVE-COVID-19 hospital surveillance system was adapted from an existing influenza surveillance system to include hospitalised COVID-19 cases.AimTo describe trends in the demographic and clinical characteristics of hospitalised COVID-19 cases across Europe during the first 2 years of the pandemic, and to identify associations between sex, age and chronic conditions with admission to intensive care or high dependency units (ICU/HDU) and in-hospital mortality.MethodsWe pooled pseudonymised data from all hospitalised COVID-19 cases in 11 surveillance sites in nine European countries, collected between 1 February 2020 and 31 December 2021. Associations between sex, age and chronic conditions, with ICU/HDU admission and in-hospital mortality were examined using Pearson's chi-squared test, and crude odds ratio (OR) estimates with respective 95% confidence intervals (CI).ResultsOf 25,971 hospitalised COVID-19 cases, 55% were male, 35% were 75 years or older and 90% had a chronic underlying condition. Patients with two or more chronic underlying conditions were significantly more likely to die in-hospital from COVID-19 (OR: 10.84; 95% CI: 8.30-14.16) than those without a chronic condition.ConclusionThe surveillance demonstrated that males, those 75 years or older and those with chronic conditions were at greater risk of in-hospital death. Over the surveillance period, outcomes tended to improve, likely because of vaccinations. This surveillance has laid the groundwork for further research studies investigating the risk factors of hospitalised COVID-19 cases and vaccine effectiveness.

Whole transcriptome analysis to explore the impaired immunological features in critically ill elderly patients with sepsis

BACKGROUND

Sepsis is a frequent complication in critically ill patients, is highly heterogeneous and is associated with high morbidity and mortality rates, especially in the elderly population. Utilizing RNA sequencing (RNA-Seq) to analyze biological pathways is widely used in clinical and molecular genetic studies, but studies in elderly patients with sepsis are still lacking. Hence, we investigated the mortality-relevant biological features and transcriptomic features in elderly patients who were admitted to the intensive care unit (ICU) for sepsis.

METHODS

We enrolled 37 elderly patients with sepsis from the ICU at Taichung Veterans General Hospital. On day-1 and day-8, clinical and laboratory data, as well as blood samples, were collected for RNA-Seq analysis. We identified the dynamic transcriptome and enriched pathways of differentially expressed genes between day-8 and day-1 through DVID enrichment analysis and Gene Set Enrichment Analysis. Then, the diversity of the T cell repertoire was analyzed with MiXCR.

RESULTS

Overall, 37 patients had sepsis, and responders and non-responders were grouped through principal component analysis. Significantly higher SOFA scores at day-7, longer ventilator days, ICU lengths of stay and hospital mortality were found in the non-responder group, than in the responder group. On day-8 in elderly ICU patients with sepsis, genes related to innate immunity and inflammation, such as ZDHCC19, ALOX15, FCER1A, HDC, PRSS33, and PCSK9, were upregulated. The differentially expressed genes (DEGs) were enriched in the regulation of transcription, adaptive immune response, immunoglobulin production, negative regulation of transcription, and immune response. Moreover, there was a higher diversity of T-cell receptors on day-8 in the responder group, than on day-1, indicating that they had better regulated recovery from sepsis compared with the non-response patients.

CONCLUSION

Sepsis mortality and incidence were both high in elderly individuals. We identified mortality-relevant biological features and transcriptomic features with functional pathway and MiXCR analyses based on RNA-Seq data; and found that the responder group had upregulated innate immunity and increased T cell diversity; compared with the non-responder group. RNA-Seq may be able to offer additional complementary information for the accurate and early prediction of treatment outcome.

The impact of age on intensive care

Caring for the elderly has always been challenging for the intensive care unit (ICU) physician. Concerns like frailty, comorbidities, polypharmacy and advanced directives come up even before admission into the unit. The COVID-19 pandemic has put forward a variety of issues concerning elderly populations, making the topic more relevant than ever. Admittance to the ICU, an unequivocally multifactorial decision, requires special consideration from the side of the physician when caring for an elderly person. Patients' wishes are to be respected and thus given priority. Triage assessment must also account for age-related physiological alterations and functional status. Once in the ICU, special attention should be given to age-related specificities, such as therapeutic interventions' controversial role, infection susceptibility, and post-operative care, that could potentially alter the course of hospitalization and affect outcomes. Following ICU discharge, ensuring proper rehabilitation for both survivors and their caregivers can improve long-term outcomes and subsequent quality of life. The pandemic and its implications may limit the standard of care for the elderly requiring ICU support. Socioeconomic factors that further perplex the situation must be addressed. Elderly patients currently represent a vast expanding population in ICU. Tailoring safe treatment plans to match patients' wishes, and personalized needs will guide critical care for the elderly from this time forward.

Elderly Patients and Management in Intensive Care Units (ICU): Clinical Challenges

There is a growing population of older adults requiring admission to the intensive care unit (ICU). This population outpaces the ability of clinicians with geriatric training to assist in their management. Specific training and education for intensivists in the care of older patients is valuable to help understand and inform clinical care, as physiologic changes of aging affect each organ system. This review highlights some of these aging processes and discusses clinical implications in the vulnerable older population. Other considerations when caring for these older patients in the ICU include functional outcomes and morbidity, as opposed to merely a focus on mortality. An overall holistic approach incorporating physiology of aging, applying current evidence, and including the patient and their family in care should be used when caring for older adults in the ICU.

Factors associated with an unfavourable outcome in elderly intensive care traumatic brain injury patients. a retrospective multicentre study

BACKGROUND

Changes in the epidemiology of traumatic brain injury (TBI) in older patients have received attention, but limited data are available on the outcome of these patients after admission to intensive care units (ICUs). The aim of this study was to evaluate the outcomes of patients over 65 years of age who were admitted to an ICU for TBI.

METHODS

This was a multicentre, retrospective, observational study conducted from January 2013 to February 2019 in the surgical ICUs of 5 level 1 trauma centres in France. Patients aged ≥ 65 years who were hospitalized in the ICU for TBI with or without extracranial injuries were included. The main objective was to determine the risk factors for unfavourable neurological outcome at 3 months defined as an Extended Glasgow Outcome Scale (GOSE) score < 5.

RESULTS

Among the 349 intensive care patients analysed, the GOSE score at 3 months was ≤ 4 and ≥ 5 in 233 (67%) and 116 (33%) patients, respectively. The mortality rate at 3 months was 157/233 (67%), and only 7 patients (2%) fully recovered or had minor symptoms. Withdrawal or withholding of life-sustaining therapies in the ICU was identified in 140 patients (40.1%). Multivariate analysis showed that age (OR 1.09, CI 95% 1.04-1.14), male sex (OR 2.94, CI95% 1.70-5.11), baseline Glasgow Coma Scale score (OR 1.20, CI95% 1.13-1.29), injury severity score (ISS; OR 1.04, CI95% 1.02-1.06) and use of osmotherapy (OR 2.42, CI95% 1.26-4.65) were associated with unfavourable outcomes (AUC = 0.79, CI 95% [0.74-0.84]). According to multivariate analysis, the variables providing the best sensitivity and specificity were age ≥ 77 years, Glasgow Coma Scale score ≤ 9 and ISS ≥ 25 (AUC = 0.79, CI 95% [0.74-0.84]).

CONCLUSIONS

Among intensive care patients aged ≥ 65 years suffering from TBI, age (≥ 77 years), male sex, baseline Glasgow coma scale score (≤ 9), ISS (≥ 25) and use of osmotherapy were predictors of unfavourable neurological outcome.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT04651803. Registered 03/12/2020. Retrospectively registered.

Socio-demographic characteristics and their relation to medical service consumption among elderly in Israel during the COVID-19 lockdown in 2020 as compared to the corresponding period in 2019

PURPOSE

The COVID-19 pandemic has led to the isolation of the population in Israel, including the elderly. The present study aimed to compare the consumption of medical services among adults over the age of 65 in Israel at the time of the first COVID-19 lockdown relative to the corresponding period the year before.

METHODS

We conducted a retrospective longitudinal observational quantitative research based on the Natali Healthcare Solutions Israel database of subscribers. Company subscribers over the age of 65 (N = 103,955) were included in the sample (64.5% women) in two time periods, before the COVID-19 outbreak-P1, in 2019, and during the first COVID-19 lockdown- P2 in 2020. Logistic regression was applied to examine service consumption for study variables.

RESULTS

The average number of referrals to services was lower during the COVID-19 lockdown period (M = 0.3658, SD = 0.781) compared to the corresponding period in the previous year (M = 0.5402, SD = 0.935). The average number of ambulance orders, doctor home visits and service refusals were higher when compared to the same period in the previous year. During both time periods, women (P1- M = 0.5631, SD = 0.951; P2- M = 0.3846, SD = 0.800) required significantly more (p < .000) services than men (P1- M = 0.5114, SD = 0.910; P2- M = 0.3417, SD = 0.753). Older, widowed people, living in non-Jewish/mixed localities, or in average or below average socioeconomic status localities required relatively more services to those with opposite socio-demographic traits (p < .000).

SUMMARY AND CONCLUSIONS

In a large sample of elderly in Israel, findings indicate a decrease in referrals to medical care during the first COVID-19 lockdown period, yet an increase in ambulance orders, doctor visits and service refusals. Socio-demographic characteristics showed a similar effect in both time periods. The period of the first COVID-19 lockdown was characterized by a higher incidence of medical service refusals as compared to the equivalent period in the previous year.

Methods of Assessing Frailty in the Critically Ill: A Systematic Review of the Current Literature

INTRODUCTION

As new treatments have become established, more frail pre-ICU patients are being admitted to intensive care units (ICUs); this is creating new challenges to provide adequate care and to ensure that resources are allocated in an ethical and economical manner. This systematic review evaluates the current standard for assessing frailty on the ICU, including methods of assessment, time point of measurements, and cut-offs.

METHODS

A systematic search was conducted on MEDLINE, Clinical Trials, Cochrane Library, and Embase. Randomized and non-randomized controlled studies were included that evaluated diagnostic tools and ICU outcomes for frailty. Exclusion criteria were the following: studies without baseline assessment of frailty on ICU admission, studies in paediatric patients or pregnant women, and studies that targeted very narrow populations of ICU patients. Eligible articles were included until January 31, 2021. Methodological quality was assessed using the Newcastle-Ottawa Scale. No meta-analysis was performed, due to heterogeneity.

RESULTS

N = 57 articles (253,376 patients) were included using 19 different methods to assess frailty or a surrogate. Frailty on ICU admission was most frequently detected using the Clinical Frailty Scale (CFS) (n = 35, 60.3%), the Frailty Index (n = 5, 8.6%), and Fried's frailty phenotype (n = 6, 10.3%). N = 22 (37.9%) studies assessed functional status. Cut-offs, time points, and manner of baseline assessment of frailty on ICU admission varied widely. Frailty on ICU admission was associated with short- and long-term mortality, functional and cognitive impairment, increased health care dependency, and impaired quality of life post-ICU discharge.

CONCLUSIONS

Frailty assessment on the ICU is heterogeneous with respect to methods, cut-offs, and time points. The CFS may best reflect frailty in the ICU. Frailty assessments should be harmonized and performed routinely in the critically ill.

Nomogram for predicting in-hospital mortality of nonagenarians with community-acquired pneumonia

AIM

Nonagenarians with community-acquired pneumonia (CAP) have a high mortality rate; however, appropriate tools for reliable severity assessment in this population are lacking. The current study aimed to evaluate the risk factors and establish a nomogram to predict in-hospital mortality of nonagenarians with CAP.

METHODS

In total, 304 patients aged ≥90 years who were admitted with CAP to Jiangsu Provincial People's Hospital and Jiangsu Provincial Hospital of Chinese Medicine between 2014 and 2020 were retrospectively analyzed. Clinical information, laboratory imaging results and pathogen detection were retrieved. Significant variables independently associated with CAP were identified by a logistic regression model, and a nomogram prediction model was constructed. The nomogram was compared with the widely used assessments: CURB-65, PSI and National Early Warning Score (NEWS) scores.

RESULTS

Univariate and multivariate logistic regression analyses identified gender, blood urea nitrogen, C-reactive protein-to-albumin ratio, Charlson Comorbidity Index and systemic immune inflammation index as independent factors that affect the prognosis. We created a nomogram for CAP based on these risk factors. The nomogram had a bootstrapped concordance index of 0.796 and was well-calibrated in the decision analysis curve range of 0.1-0.98. The area under the curve was 0.796 (95% CI: 0.74-0.85), significantly higher than for CURB-65, PSI and NEWS scores (P < 0.05).

CONCLUSIONS

Our nomogram model can predict the outcome of hospitalized nonagenarians with CAP and guide clinicians to provide better treatment, leading to improved prognosis and reduced mortality. Geriatr Gerontol Int 2022; 22: 635-641.

Geriatric Nutritional Risk Index is Associated with Hospital Death in Elderly Patients with Multiple Organ Dysfunction Syndrome: A Retrospective Study Based on the MIMIC-III Database

Purpose

Elderly patients with multiple organ dysfunction syndrome (MODS) have a higher mortality during hospitalization in the intensive care unit (ICU). Elderly patients often suffer from malnutrition. On the basis of the MIMIC-III database, this study analyzed the effect of the baseline nutritional status on the death of elderly patients with MODS during hospitalization.

Materials and Methods

Elderly patients with MODS were screened out from MIMIC-III 1.4 database. The geriatric nutritional risk index (GNRI) was calculated and used to group patients into: normal nutrition (GNRI > 98) and malnutrition (GNRI ≤ 98) groups. The malnutrition group was divided into mild (92–98), moderate (82–91), and severe (≤81) groups. The differences in the baseline data and the incidence of adverse events between groups were compared. The GAM model was used to determine whether a curve relationship was present between the hospital death of elderly patients with MODS and GNRI and analyze the threshold saturation effect. The multivariate logistic regression was used to calculate the odds ratio (OR) of in-hospital deaths in different GNRI groups. The interaction test was performed to find subgroups with differences.

Results

A total of 2456 elderly patients with MODS were enrolled. A total of 1,273 (51.8%) and 1183 (48.2%) patients were in the normal nutrition and malnutrition groups, respectively. The mortality rate of patients in the normal nutrition group during hospitalization was lower than that in the malnutrition group (206/1273 vs. 292/1183, X2 = 27.410, P < 0.001; OR = 0.59, 95% CI: 0.48–0.72). The GAM model fitting analysis showed a threshold saturation effect at GNRI = 92. Adjusted OR values with GNRI ≥ 92 began to change to 1, and GNRI and death had no association. At GNRI < 92, high GNRI related to low risk of death. Subgroup analysis of patients with GNRI < 92 showed that the risk of death in elderly male patients was lower than that of female patients.

Conclusion

GNRI is related to the severity of illness in elderly patients with MODS. At GNRI < 92, moderate to severe malnutrition increases the risk of death in elderly patients with MODS during hospitalization.

[Analysis of the factors involved in the evolution of patients over 80 years of age admitted to the intensive care unit: Should we change our procedure?]

BACKGROUND AND OBJECTIVES

The care of older patients in intensive care units (ICU) is becoming more frequent. To describe characteristics of elderly patients admitted to the ICU and to analyze the factors associated with mortality.

PATIENTS AND METHODS

Retrospective cross-sectional study, with patients ≥80 years, admitted to the ICU of the Rey Juan Carlos University Hospital, from March 2012 to December 2018. Demographic variables, comorbidities and mortality in the ICU, in hospital and at one year were collected, analyzed by univariate analysis and binary logistic regression.

RESULTS

Six hundred twenty patients, mean age 83.6 years (SD: 3.25), 31% required invasive mechanical ventilation (IMV), 25% vasopressors and 29% renal replacement therapy (RRT) due to acute renal failure (ARF). The 60% were admissions of medical origin. In-hospital mortality was 156 patients (25%), 91 died in the ICU and 65 on the ward, with shorter ICU stays for the survivors (2.72; SD: 0.22) compared to the deceased (3.74; SD: 0.38), with statistically significant differences. 63% remained alive one year after ICU discharge. An explanatory model of ICU mortality was obtained by logistic regression that included the following factors: IMV (OR: 5.78, 95% CI 2.73-12.22), vasopressors (OR: 2.54, 95% CI 1.24-5.19), AKI/TRS (OR: 2.69, 95% CI 1.35-5.35), medical admission (OR: 2.88, 95% CI 1.40-5.92), urgent admission (OR: 2.33, 95% CI 1.30-4.18) and limitation of life support (LTSV) (OR: 47.35, 95% CI 22.96-97.68). The days in the ICU (OR: 0.93, 95% CI 0.87-0.99) would be inversely related to mortality.

CONCLUSIONS

In older patients, there is no increase in mortality, with a 1-year survival >63%. The need for IMV, the use of vasopressor drugs and ARF/RTS were factors associated with mortality in the multivariate analysis.

Differences in early, intermediate, and long-term mortality among elderly patients admitted to the ICU. Results of a retrospective observational study

BACKGROUND

Few studies have investigated both short- and long-term prognostic factors, and the differences between chronic and acute conditions in the very old critically-ill patient. Our study aims to shed light in this field and to provide useful prognostic factors that may support clinical decisions in the management of the elderly.

METHODS

Six ICUs collected data concerning patients 80 years old or more admitted in 2015 and 2016 and followed-up until may 2018. Three prognostic models were developed: an in-hospital mortality model, a model for patients discharged from the hospital and entering follow-up, and an intermediate model for those alive after three days from ICU admission.

RESULTS

Our centers admitted 1189 patients, 1071 (90.1%) had survived after three days from admission, 889 (74.8%) were discharged from the hospital, 701 (59.0%) survived six months after hospital discharge, 539 (45.3%) survived at the end of follow-up. Among survivors the median follow-up time was 810 days. Acute organ failures were the main causes of death in the hospital mortality multivariable model. These factors are modifiable and potentially a target for intervention to improve outcome. The model focused on mortality six months after hospital in patients that survived a three-day timelimited trial, showed a clear shift toward chronic diseases, unmodifiable factors crucial for prognostic assessment. This trend was even more evident at the end of follow-up.

CONCLUSIONS

Among very old ICU patients, prognostic factors shift from acute to chronic conditions in passing from in-hospital to post-hospital outcomes.

Intensive care of geriatric patients-a thin line between under- and overtreatment

Demographic developments are leading to an ever-increasing proportion of elderly and aged patients in hospitals at all levels of care, and even more patients from these age groups are to be expected in the future. Based on the projected population development, e.g., in Norway, an increase in intensive care beds of between 26 and 37% is expected by 2025. This poses special challenges for the treatment and management of geriatric intensive care patients. The acute illness is not the only decisive factor, but rather the existing multimorbidity and functional limitations of this vulnerable patient group must likewise be taken into account. Age per se is not the sole determinant of prognosis in critical patients, even though mortality increases with age.

The Impact of Age on In-Hospital Mortality in Critically Ill COVID-19 Patients: A Retrospective and Multicenter Study

Introduction: For the past two years, healthcare systems worldwide have been battling the ongoing COVID-19 pandemic. Several studies tried to find predictive factors of mortality in COVID-19 patients. We aimed to research age as a predictive factor associated with in-hospital mortality in severe and critical SARS-CoV-2 infection. Methods: Between 1 March and 20 April 2020, we conducted a multicenter and retrospective study on a cohort of severe COVID-19 patients who were all hospitalized in the Intensive Care Unit (ICU). We led our study in nine hospitals of northeast France, one of the pandemic’s epicenters in Europe. Results: The median age of our study population was 66 years (58−72 years). Mortality was 24.6% (CI 95%: 20.6−29%) in the ICU and 26.5% (CI 95%: 22.3−31%) in the hospital. Non-survivors were significantly older (69 versus 64 years, p < 0.001) than the survivors. Although a history of cardio-vascular diseases was more frequent in the non-survivor group (p = 0.015), other underlying conditions and prior level of autonomy did not differ between the two groups. On multivariable analysis, age appeared to be an interesting predictive factor of in-hospital mortality. Thus, age ranges of 65 to 74 years (OR = 2.962, CI 95%: 1.231−7.132, p = 0.015) were predictive of mortality, whereas the group of patients aged over 75 years was not (OR = 3.084, CI 95%: 0.952−9.992, p = 0.06). Similarly, all comorbidities except for immunodeficiency (OR = 4.207, CI 95%: 1.006−17.586, p = 0.049) were not predictive of mortality. Finally, survival follow-up was obtained for the study population. Conclusion: Age appears to be a relevant predictive factor of in-hospital mortality in cases of severe or critical SARS-CoV-2 infection.

Development of an electronic Poor Outcome Screening (ePOS) Score to identify critically ill patients with potential palliative care needs

PURPOSE

To develop and validate an electronic poor outcome screening (ePOS) score to identify critically ill patients with potentially unmet palliative care (PC) needs at 48 hours after ICU admission.

MATERIALS AND METHODS

Retrospective single-centre cohort study of 1'772 critically ill adult patients admitted to a tertiary academic ICU in Switzerland between 2017 and 2018. We used data available from electronic health records (EHR) in the first 48 hours and least absolute shrinkage and selection operator (LASSO) logistic regression to develop a prediction model and generate a score to predict the risk of all cause 6-month mortality.

RESULTS

Within 6 months of the ICU admission, 598 patients (33.7%) had died. At a cut-off of 20 points, the ePOS score (range 0-46 points) had a sensitivity of 0.81 (95% CI 0.78 to 0.84) and a specificity of 0.51 (0.48 to 0.54) for predicting 6-month mortality and showed good discriminatory performance (AUROC 0.72, 0.67 to 0.77).

CONCLUSIONS

The ePOS score can easily be implemented in EHR and can be used for automated screening and stratification of ICU patients, pinpointing those in whom a comprehensive PC assessment should be performed. However, it should not replace clinical judgement.

Current perspectives on defining and mitigating frailty in relation to critical illness

Up to half of ICU survivors, many of whom were premorbidly well, will have residual functional and/or cognitive impairment and be vulnerable to future health problems. Frailty describes vulnerability to poor resolution of homeostasis after a stressor event but it is not clear whether the vulnerability seen after ICU correlates with clinical measures of frailty. In clinical practice, the scales most commonly used in critically ill patients are based on the assessment of severity and survival. Identification and monitoring of frailty in the ICU may be an alternative or complimentary approach, particularly if it helps explain vulnerability during the recovery and rehabilitation period. The purpose of this review is to discuss the use of tools to assess frailty status in the critically ill, and consider their importance in clinical practice. Amongst these, we consider biomarkers with potential to identify patients at greater or lesser risk of developing post-ICU vulnerability.

Palliative Care Principles and Anesthesiology Clinical Practice: Current Perspectives

Background

Palliative care is a person-centered approach aiming to relieve patient’s health-related suffering and it is often needed when caring for critically ill patients to manage symptoms and identify goals of care.

Aim

To describe the integration of palliative care principles in anesthesiology clinical practice, within and outside the ICU and to analyze the additional challenges that COVID-19 pandemic is posing in this context.

Methods

For the purpose of this review, PubMed database was searched for studies concerning palliative care and end of life care, in contexts involving anesthesiologists and intensivists, published in the last 5 years.

Results

Anesthesiologists and intensivists integrate palliative care within their daily practice providing symptoms management as well as family counseling. High-quality communicational skills are fundamental for anesthesiologists and intensivists especially when interfacing with surrogate decision makers in the ICU or with patients in the preoperative setting while discussing goals of care. Coronavirus disease 2019 (COVID-19) pandemic has challenged many aspects of palliative care delivery: reduced family presence within the ICU, communication with families through phone calls or video calls, patient–physician relationship mediated by bulky personal protective equipment and healthcare workers physical and psychological distress due to the increased workload and limitations in resources are some of the most evident.

Conclusion

Anesthesiologists and intensivists are increasingly facing challenging clinical situations where principles and practice of palliative care have to be applied. In this sense, increasing knowledge on palliative care and providing specific training would allow to deliver high-quality symptom management, family counseling and end of life guidance in critical care settings. COVID-19 pandemic sets additional difficulties to palliative care delivery.

Mortality of Older Patients Admitted to an ICU: A Systematic Review

OBJECTIVES

To conduct a systematic review of mortality and factors independently associated with mortality in older patients admitted to ICU.

DATA SOURCES

MEDLINE via PubMed, EMBASE, the Cochrane Library, and references of included studies.

STUDY SELECTION

Two reviewers independently selected studies conducted after 2000 evaluating mortality of older patients (≥ 75 yr old) admitted to ICU.

DATA EXTRACTION

General characteristics, mortality rate, and factors independently associated with mortality were extracted independently by two reviewers. Disagreements were solved by discussion within the study team.

DATA SYNTHESIS

Because of expected heterogeneity, no meta-analysis was performed. We selected 129 studies (median year of publication, 2015; interquartile range, 2012-2017) including 17 based on a national registry. Most were conducted in Europe and North America. The median number of included patients was 278 (interquartile range, 124-1,068). ICU and in-hospital mortality were most frequently reported with considerable heterogeneity observed across studies that was not explained by study design or location. ICU mortality ranged from 1% to 51%, in-hospital mortality from 10% to 76%, 6-month mortality from 21% to 58%, and 1-year mortality from 33% to 72%. Factors addressed in multivariate analyses were also heterogeneous across studies. Severity score, diagnosis at admission, and use of mechanical ventilation were the independent factors most frequently associated with ICU mortality, whereas age, comorbidities, functional status, and severity score at admission were the independent factors most frequently associated with 3- 6 and 12 months mortality.

CONCLUSIONS

In this systematic review of older patients admitted to intensive care, we have documented substantial variation in short- and long-term mortality as well as in prognostic factors evaluated. To better understand this variation, we need consistent, high-quality data on pre-ICU conditions, ICU physiology and treatments, structure and system factors, and post-ICU trajectories. These data could inform geriatric care bundles as well as a core data set of prognostic factors to inform patient-centered decision-making.

ICU-Mortality in Old and Very Old Patients Suffering From Sepsis and Septic Shock

Purpose: Old (>64 years) and very old (>79 years) intensive care patients with sepsis have a high mortality. In the very old, the value of critical care has been questioned. We aimed to compare the mortality, rates of organ support, and the length of stay in old vs. very old patients with sepsis and septic shock in intensive care.

Methods: This analysis included 9,385 patients, from the multi-center eICU Collaborative Research Database, with sepsis; 6184 were old (aged 65–79 years), and 3,201 were very old patients (aged 80 years and older). A multi-level logistic regression analysis was used to fit three sequential regression models for the binary primary outcome of ICU mortality. A sensitivity analysis in septic shock patients (n = 1054) was also conducted.

Results: In the very old patients, the median length of stay was shorter (50 ± 67 vs. 56 ± 72 h; p < 0.001), and the rate of a prolonged ICU stay was lower (>168 h; 9 vs. 12%; p < 0.001) than the old patients. The mortality from sepsis was higher in very old patients (13 vs. 11%; p = 0.005), and after multi-variable adjustment being very old was associated with higher odds for ICU mortality (aOR 1.32, 95% CI 1.09–1.59; p = 0.004). In patients with septic shock, mortality was also higher in the very old patients (38 vs. 36%; aOR 1.50, 95% CI 1.10–2.06; p = 0.01).

Conclusion: Very old ICU-patients suffer from a slightly higher ICU mortality compared with old ICU-patients. However, despite the statistically significant differences in mortality, the clinical relevance of such minor differences seems to be negligible.

Provision of critical care for the elderly in Europe: a retrospective comparison of national healthcare frameworks in intensive care units

OBJECTIVES

In Europe, there is a distinction between two different healthcare organisation systems, the tax-based healthcare system (THS) and the social health insurance system (SHI). Our aim was to investigate whether the characteristics, treatment and mortality of older, critically ill patients in the intensive care unit (ICU) differed between THS and SHI.

SETTING

ICUs in 16 European countries.

PARTICIPANTS

In total, 7817 critically ill older (≥80 years) patients were included in this study, 4941 in THS and 2876 in the SHI systems.

PRIMARY AND SECONDARY OUTCOMES MEASURES

We chose generalised estimation equations with robust standard errors to produce population average adjusted OR (aOR). We adjusted for patient-specific variables, health economic data, including gross domestic product (GDP) and human development index (HDI), and treatment strategies.

RESULTS

In SHI systems, there were higher rates of frail patients (Clinical Frailty Scale>4; 46% vs 41%; p<0.001), longer length of ICU stays (90±162 vs 72±134 hours; p<0.001) and increased levels of organ support. The ICU mortality (aOR 1.50, 95% CI 1.09 to 2.06; p=0.01) was consistently higher in the SHI; however, the 30-day mortality (aOR 0.89, 95% CI 0.66 to 1.21; p=0.47) was similar between THS and SHI. In a sensitivity analysis stratifying for the health economic data, the 30-day mortality was higher in SHI, in low GDP per capita (aOR 2.17, 95% CI 1.42 to 3.58) and low HDI (aOR 1.22, 95% CI 1.64 to 2.20) settings.

CONCLUSIONS

The 30-day mortality was similar in both systems. Patients in SHI were older, sicker and frailer at baseline, which could be interpreted as a sign for a more liberal admission policy in SHI. We believe that the observed trend towards ICU excess mortality in SHI results mainly from a more liberal admission policy and an increase in treatment limitations.

TRIAL REGISTRATION NUMBERS

NCT03134807 and NCT03370692.

Management of Very Old Patients in Intensive Care Units

The global population is aging and the demand for critical care wards increasing. Aging is associated not only with physiological and cognitive vulnerability, but also with a decline in organ function. A new topic in geriatric care is how to appropriately use critical care resources and provide the best treatment plan for very old patients (VOPs). Our special geriatric intensive care unit has admitted nearly 500 VOPs. In this review, we share our VOP treatment strategy and summarize the key points as “ABCCDEFGHI bundles.” The aim is to help intensivists to provide more comprehensive therapy for VOPs in intensive care units.

Older patients' recovery following intensive care: A follow-up study with the RAIN questionnaire

The aim was to investigate older patient recovery (65 years+) up to two years following discharge from an intensive care unit (ICU) using the Recovery After Intensive Care (RAIN) instrument and to correlate RAIN with the Hospital Anxiety and Depression Scale (HAD).

METHODS

An explorative and descriptive longitudinal design was used. Eighty-two patients answered RAIN and HAD at least twice following discharge. Demographic and clinical data were collected from patient records.

RESULTS

Recovery after the ICU was relatively stable and good for older patients at the four data collection points. There was little variation on the RAIN subscales over time. The greatest recovery improvement was found in existential ruminations from 2 to 24 months. A patient that could look forward and those with supportive relatives had the highest scores at all four measurements. Having lower financial situation was correlated to poorer recovery and was significant at 24 months. The RAIN and HAD instruments showed significant correlations, except for the revaluation of life subscale, which is not an aspect in HAD.

CONCLUSION

The RAIN instrument shows to be a good measurement for all dimensions of recovery, including existential dimensions, which are not covered by any other instrument.

Physicians' predictions of long-term survival and functional outcomes do not influence the decision to admit patients with advanced disease to intensive care: A prospective study

BACKGROUND

Long-term survival and functional outcomes should influence admission decisions to intensive care, especially for patients with advanced disease.

AIM

To determine whether physicians' predictions of long-term prognosis influenced admission decisions for patients with and without advanced disease.

DESIGN

A prospective study was conducted. Physicians estimated patient survival with intensive care and with care on the ward, and the probability of 4 long-term outcomes: leaving hospital alive, survival at 6 months, recovery of functional status, and recovery of cognitive status. Patient mortality at 28 days was recorded. We built multivariate logistic regression models using admission to the intensive care unit (ICU) as the dependent variable.

SETTING/PARTICIPANTS

ICU consultations for medical inpatients at a Swiss tertiary care hospital were included.

RESULTS

Of 201 evaluated patients, 105 (52.2%) had an advanced disease and 140 (69.7%) were admitted to the ICU. The probability of admission was strongly associated with the expected short-term survival benefit for patients with or without advanced disease. In contrast, the predicted likelihood that the patient would leave the hospital alive, would be alive 6 months later, would recover functional status, and would recover initial cognitive capacity was not associated with the decision to admit a patient to the ICU. Even for patients with advanced disease, none of these estimated outcomes influenced the admission decision.

CONCLUSIONS

ICU admissions of patients with advanced disease were determined by short-term survival benefit, and not by long-term prognosis. Advance care planning and developing decision-aid tools for triage could help limit potentially inappropriate admissions to intensive care.

Virtual reality-assisted conscious sedation during transcatheter aortic valve implantation: a randomised pilot study

AIMS

Virtual reality (VR) has been used successfully in different clinical settings to treat anxiety. This prospective, randomised pilot study aimed to investigate the feasibility and safety of VR in patients undergoing conscious sedation during transfemoral transcatheter aortic valve implantation (TAVI).

METHODS AND RESULTS

Thirty-two patients were included and randomised to VR intervention (n=16) or control (n=16). In the intervention group, patient-selected relaxing 3D videos were projected during the TAVI procedure; pain and anxiety before and after TAVI were measured using visual analogue scales (VAS; 0-10). The median age was 83 years (IQR 78.25-87). Patients' baseline characteristics did not differ significantly between the groups. During TAVI under conscious sedation, the median duration of VR intervention was 30.5 minutes (IQR 23.5-46); 81.3% of the patients watched the videos until device implantation, 37.5% during the whole procedure. The VR intervention group reported significantly less anxiety after the procedure (VAS 2 [IQR 0-3.75] vs 5 [IQR 2-8], p=0.04) than patients randomised to control. In the intervention group, 93.8% would use VR during TAVI again. Nausea and vomiting did not occur more frequently compared to control.

CONCLUSIONS

VR interventions during TAVI to assist conscious sedation are safe and feasible, even in very old and frail patients. In this small cohort, there was a significant reduction in periprocedural anxiety.

Sex-specific outcome disparities in very old patients admitted to intensive care medicine: a propensity matched analysis

Female and male very elderly intensive patients (VIPs) might differ in characteristics and outcomes. We aimed to compare female versus male VIPs in a large, multinational collective of VIPs with regards to outcome and predictors of mortality. In total, 7555 patients were included in this analysis, 3973 (53%) male and 3582 (47%) female patients. The primary endpoint was 30-day-mortality. Baseline characteristics, data on management and geriatric scores including frailty assessed by Clinical Frailty Scale (CFS) were documented. Two propensity scores (for being male) were obtained for consecutive matching, score 1 for baseline characteristics and score 2 for baseline characteristics and ICU management. Male VIPs were younger (83 ± 5 vs. 84 ± 5; p < 0.001), less often frail (CFS > 4; 38% versus 49%; p < 0.001) but evidenced higher SOFA (7 ± 6 versus 6 ± 6 points; p < 0.001) scores. After propensity score matching, no differences in baseline characteristics could be observed. In the paired analysis, the mortality in male VIPs was higher (mean difference 3.34% 95%CI 0.92–5.76%; p = 0.007) compared to females. In both multivariable logistic regression models correcting for propensity score 1 (aOR 1.15 95%CI 1.03–1.27; p = 0.007) and propensity score 2 (aOR 1.15 95%CI 1.04–1.27; p = 0.007) male sex was independently associated with higher odds for 30-day-mortality. Of note, male gender was not associated with ICU mortality (OR 1.08 95%CI 0.98–1.19; p = 0.14). Outcomes of elderly intensive care patients evidenced independent sex differences. Male sex was associated with adverse 30-day-mortality but not ICU-mortality. Further research to identify potential sex-specific risk factors after ICU discharge is warranted.

Trial registration: NCT03134807 and NCT03370692; Registered on May 1, 2017 https://clinicaltrials.gov/ct2/show/NCT03370692.

Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation

PURPOSE

To evaluate the application of machine learning methods, specifically Deep Neural Networks (DNN) models for intensive care (ICU) mortality prediction. The aim was to predict mortality within 96 hours after admission to mirror the clinical situation of patient evaluation after an ICU trial, which consists of 24-48 hours of ICU treatment and then "re-triage". The input variables were deliberately restricted to ABG values to maximise real-world practicability.

METHODS

We retrospectively evaluated septic patients in the multi-centre eICU dataset as well as single centre MIMIC-III dataset. Included were all patients alive after 48 hours with available data on ABG (n = 3979 and n = 9655 ICU stays for the multi-centre and single centre respectively). The primary endpoint was 96 -h-mortality.

RESULTS

The model was developed using long short-term memory (LSTM), a type of DNN designed to learn temporal dependencies between variables. Input variables were all ABG values within the first 48 hours. The SOFA score (AUC of 0.72) was moderately predictive. Logistic regression showed good performance (AUC of 0.82). The best performance was achieved by the LSTM-based model with AUC of 0.88 in the multi-centre study and AUC of 0.85 in the single centre study.

CONCLUSIONS

An LSTM-based model could help physicians with the "re-triage" and the decision to restrict treatment in patients with a poor prognosis.

Sublingual microcirculation detects impaired perfusion in dehydrated older patients

BACKGROUND: Dehydration occurs frequently in older patients and constitutes a significant clinical problem. OBJECTIVE: This proof-of-concept study examines whether 1) sublingual measurement in dehydrated old patients is feasible, 2) frailty and incompliance in old, awake patients affects video-quality, 3) dehydration impacts microcirculation METHODS: This prospective observational study included clinically dehydrated patients aged ≥65 years immediately after admission. Dehydration was assessed clinically. A sidestream dark field camera (SDF) was used for measurement. Video-quality was evaluated with MIQS (microcirculation image quality score). Both AVA 4.3C- and AVA POEM-software analyzed the videos. Seventeen patients ≥65 years not showing dehydration served as control. RESULTS: Thirteen patients (8 female) were included. The average age was 83±8 years. The mini-mental test was 17±15 points, the Clinical Frailty Scale 4±3, the Barthel-Index 59±39. None of these parameters correlated with MIQS (3.4±4.2 SD (“acceptable”)). Dehydrated patients had a slightly impaired microcirculation, with a significantly lower percentage of perfused small vessels compared to control (83.1±7.7% versus 88.0±6.0%, P < 0.05). After rehydration, there was acute improvement in the microcirculation. CONCLUSIONS: Sublingual microcirculatory SDF-measurement is both, safe and valid for dehydrated old patients - regardless of frailty, age or cognitive performance. Dehydration leads to an impaired microcirculation.

[Geriatric intensive care : Consensus paper of DGIIN, DIVI, DGAI, DGGG, ÖGGG, ÖGIAIN, DGP, DGEM, DGD, DGNI, DGIM, DGKliPha and DGG]

The proportion of elderly, frail, and multimorbid people has increased dramatically in recent decades resulting from demographic changes and will further increase, which will impact acute medical care. Prospective, randomized studies on geriatric intensive care are still lacking. There are also no international or national recommendations regarding the management of critically ill elderly patients. Based on an expert opinion, this consensus paper provides 16 statements that should be considered when dealing with geriatric critical care patients.

Clinical characteristics and cost of hospital stay of octogenarians and nonagenarians in intensive care nephrology unit

PURPOSE

As the population gets older, the elderly and very elderly patients are increasingly been treated in nephrology intensive care units (ICU). In this study we evaluated the characteristics and outcomes of the octogenarians (80-89 years old), nonagenarians (≥ 90 years old) and compared them with elderly (65-79 years old) patients treated in nephrology ICU.

METHODS

Eighteen nonagenarians, 70 octogenarians and 88 elderly patients were included in the study. Indication for hospitalization, presence of comorbid diseases, and requirement for acute dialysis treatment were investigated. Need for mechanical ventilation, vasopressors, central venous catheterization, urinary catheterization, anticoagulation, and transfusion of blood products were evaluated. Mortality rate and hospital cost were calculated. Data about survival at 1 month after discharge was collected.

RESULTS

Causes of hospitalization, need for dialysis treatment, mechanical ventilation, vasopressors, central venous catheterization, urinary catheterization, anticoagulation, and transfusion of blood products were not different between age groups. Diabetes mellitus and malignancy were more frequent in elderly, whereas dementia/Alzheimer's disease was more common in nonagenarians. Although, mortality in ICU was increased as the age increased, it was statistically insignificant. However, 1 month mortality rate after discharge from hospital was increased especially in nonagenarians. In nonagenarians infection, whereas in octogenarians need for dialysis treatment, were related with mortality. Length of intensive care stay and hospital cost did not differ between age groups.

CONCLUSION

Length of nephrology intensive care stay, mortality rate and hospital cost did not differ for very elderly age groups, but mortality risk was higher for nonagenarians after discharge from hospital.

Prognostic nomogram for elderly patients with acute respiratory failure receiving invasive mechanical ventilation: a nationwide population-based cohort study in Taiwan

Patients in critical care medicine are ageing. There is limited literature evaluating long-term outcomes and prognostic factors for the growing number of elderly patients with acute respiratory failure (ARF) receiving invasive mechanical ventilation (IMV). Data on elderly patients (≧ 65 years old) with ARF receiving intubation and IMV during 2003–2012 were retrospectively collected from the national health database in Taiwan. We included 7,095 elderly patients. The 28-day mortality was 33%, the 60-day mortality was 47.5%, and the 1-year mortality was 70.4%. Patients were divided into groups: young-old (65–74 years), middle-old (75–84 years), and oldest-old (≧ 85 years). Patients in the oldest-old and middle-old groups had higher 1-year mortality than the young-old group (p < 0.001). The multivariate logistic regression revealed 9 significant factors associated with 1-year mortality, and these factors were used to develop a prognostic nomogram. The present study showed that the long-term prognosis of elderly patients with ARF and IMV is very poor. This nomogram can help physicians estimate the 1-year mortality of elderly patients in the early stage of ARF and assist in clinical decision making.

Age is not a risk factor in survival of severely ill patients with co-morbidities in a medical intensive care unit

BACKGROUND

The individuals over 65 years old constitute an important patient population of medical intensive care units (ICUs).

AIM

To evaluate the risk factors for mortality in a medical ICU consisting a group of patients with a large number of co-morbidities.

METHODS

This is a retrospective study involving patients who were followed for more than 48 h. The cohort was divided into two groups according to age: (1) young, < 65 years old, and (2) elderly, ≥ 65 years old.

RESULTS

A total of 693 patients (303 F, 390 M) were included. The median age was 68 years (18-97). There were 279 (40.3%) young and 414 (59.7%) elderly patients. There was no difference between the groups in gender and mortality (p = 0.436, p = 0.932, respectively). Most of the co-morbid diseases were more common in the elderly except solid malignancies which were more common in young patients (p = 0.033). Long ICU stay, long hospital stay before ICU, high APACHE II and Charlson co-morbidity index scores, pneumonia, acute hepatic failure/coma, malignancy, acute hemodialysis, need for vasopressors, and invasive mechanical ventilation were independent predictors of ICU mortality.

CONCLUSION

Age and gender were not found to be predictors of mortality. There was no survival advantage between young and elderly patients. Co-morbid diseases, apart from malignancy, had no effect on mortality. In developing countries, where patients with terminal illness and multiple co-morbid diseases are treated in the ICU, age should not be a determining factor in patient selection for ICU or in the treatment decisions to be applied to patients.

Protein Requirements during Hypocaloric Nutrition for the Older Patient With Critical Illness and Obesity: An Approach to Clinical Practice

Current guidelines recommend a hypocaloric, high protein nutrition regimen for patients with obesity and critical illness. The impact of advancing age presents with unique challenges in which a greater protein intake is required to overcome the anabolic resistance associated with aging in the face of presumed decreased renal function. The primary objective of this review is to provide an overview of the impact of obesity and advancing age on protein requirements for patients with critical illness and review the scientific evidence supporting the rationale for hypocaloric, high protein nutrition for this subpopulation, as well as provide some practical suggestions for their clinical management.

Sepsis at ICU admission does not decrease 30-day survival in very old patients: a post-hoc analysis of the VIP1 multinational cohort study

Background

The number of intensive care patients aged ≥ 80 years (Very old Intensive Care Patients; VIPs) is growing. VIPs have high mortality and morbidity and the benefits of ICU admission are frequently questioned. Sepsis incidence has risen in recent years and identification of outcomes is of considerable public importance. We aimed to determine whether VIPs admitted for sepsis had different outcomes than those admitted for other acute reasons and identify potential prognostic factors for 30-day survival.

Results

This prospective study included VIPs with Sequential Organ Failure Assessment (SOFA) scores ≥ 2 acutely admitted to 307 ICUs in 21 European countries. Of 3869 acutely admitted VIPs, 493 (12.7%) [53.8% male, median age 83 (81–86) years] were admitted for sepsis. Sepsis was defined according to clinical criteria; suspected or demonstrated focus of infection and SOFA score ≥ 2 points. Compared to VIPs admitted for other acute reasons, VIPs admitted for sepsis were younger, had a higher SOFA score (9 vs. 7, p < 0.0001), required more vasoactive drugs [82.2% vs. 55.1%, p < 0.0001] and renal replacement therapies [17.4% vs. 9.9%; p < 0.0001], and had more life-sustaining treatment limitations [37.3% vs. 32.1%; p = 0.02]. Frailty was similar in both groups. Unadjusted 30-day survival was not significantly different between the two groups. After adjustment for age, gender, frailty, and SOFA score, sepsis had no impact on 30-day survival [HR 0.99 (95% CI 0.86–1.15), p = 0.917]. Inverse-probability weight (IPW)-adjusted survival curves for the first 30 days after ICU admission were similar for acute septic and non-septic patients [HR: 1.00 (95% CI 0.87–1.17), p = 0.95]. A matched-pair analysis in which patients with sepsis were matched with two control patients of the same gender with the same age, SOFA score, and level of frailty was also performed. A Cox proportional hazard regression model stratified on the matched pairs showed that 30-day survival was similar in both groups [57.2% (95% CI 52.7–60.7) vs. 57.1% (95% CI 53.7–60.1), p = 0.85].

Conclusions

After adjusting for organ dysfunction, sepsis at admission was not independently associated with decreased 30-day survival in this multinational study of 3869 VIPs. Age, frailty, and SOFA score were independently associated with survival.

The very old in intensive care: Admission characteristics, mortality and supports needed at six months postdischarge

OBJECTIVE

To describe survival and six-month outcomes (residence, community supports) in the very old (≥80 years) admitted to intensive care in Waitemata District Health Board, New Zealand.

METHODS

Hospital records of patients 80 years and over admitted from August 2015 to June 2017 were reviewed.

RESULTS

One hundred and seventeen patients were admitted (median age: 83). Standard ICU risk scores predicted survival to hospital discharge. Patients admitted electively were more likely to survive to discharge than emergency ICU/HDU admissions (P = .007). Ninety-two (79%) survived to hospital discharge, and 84 (72%) survived to 6 months. Eighty-four were discharged home (91% of survivors), and 79 were living at home at 6 months (94% of survivors). Community supports increased from admission (34, 29%) to 6 months later (34, 43% of community dwellers). Forty-four (47.8% surviving to discharge) were readmitted within 6 months.

CONCLUSIONS

Most patients are alive at discharge and 6 months, with a majority requiring no formal supports.

Community-acquired pneumonia in critically ill very old patients: a growing problem

Very old (aged ≥80 years) adults constitute an increasing proportion of the global population. Currently, this subgroup of patients represents an important percentage of patients admitted to the intensive care unit. Community-acquired pneumonia (CAP) frequently affects very old adults. However, there are no specific recommendations for the management of critically ill very old CAP patients. Multiple morbidities, polypharmacy, immunosenescence and frailty contribute to an increased risk of pneumonia in this population. CAP in critically ill very old patients is associated with higher short- and long-term mortality; however, because of its uncommon presentation, diagnosis can be very difficult. Management of critically ill very old CAP patients should be guided by their baseline characteristics, clinical presentation and risk factors for multidrug-resistant pathogens. Hospitalisation in intermediate care may be a good option for critical ill very old CAP patients who do not require invasive procedures and for whom intensive care is questionable in terms of benefit.

There is currently no international recommendation for the management of critically ill older patients over 80 years of age with CAP. We report and discuss recent literature in order to help physicians in the decision-making process of these patients.http://bit.ly/2ql0mIz

The contribution of frailty, cognition, activity of daily life and comorbidities on outcome in acutely admitted patients over 80 years in European ICUs: the VIP2 study

Purpose

Premorbid conditions affect prognosis of acutely-ill aged patients. Several lines of evidence suggest geriatric syndromes need to be assessed but little is known on their relative effect on the 30-day survival after ICU admission. The primary aim of this study was to describe the prevalence of frailty, cognition decline and activity of daily life in addition to the presence of comorbidity and polypharmacy and to assess their influence on 30-day survival.

Methods

Prospective cohort study with 242 ICUs from 22 countries. Patients 80 years or above acutely admitted over a six months period to an ICU between May 2018 and May 2019 were included. In addition to common patients’ characteristics and disease severity, we collected information on specific geriatric syndromes as potential predictive factors for 30-day survival, frailty (Clinical Frailty scale) with a CFS > 4 defining frail patients, cognitive impairment (informant questionnaire on cognitive decline in the elderly (IQCODE) with IQCODE ≥ 3.5 defining cognitive decline, and disability (measured the activity of daily life with the Katz index) with ADL ≤ 4 defining disability. A Principal Component Analysis to identify co-linearity between geriatric syndromes was performed and from this a multivariable model was built with all geriatric information or only one: CFS, IQCODE or ADL. Akaike’s information criterion across imputations was used to evaluate the goodness of fit of our models.

Results

We included 3920 patients with a median age of 84 years (IQR: 81–87), 53.3% males). 80% received at least one organ support. The median ICU length of stay was 3.88 days (IQR: 1.83–8). The ICU and 30-day survival were 72.5% and 61.2% respectively. The geriatric conditions were median (IQR): CFS: 4 (3–6); IQCODE: 3.19 (3–3.69); ADL: 6 (4–6); Comorbidity and Polypharmacy score (CPS): 10 (7–14). CFS, ADL and IQCODE were closely correlated. The multivariable analysis identified predictors of 1-month mortality (HR; 95% CI): Age (per 1 year increase): 1.02 (1.–1.03, p = 0.01), ICU admission diagnosis, sequential organ failure assessment score (SOFA) (per point): 1.15 (1.14–1.17, p < 0.0001) and CFS (per point): 1.1 (1.05–1.15, p < 0.001). CFS remained an independent factor after inclusion of life-sustaining treatment limitation in the model.

Conclusion

We confirm that frailty assessment using the CFS is able to predict short-term mortality in elderly patients admitted to ICU. Other geriatric syndromes do not add improvement to the prediction model. Since CFS is easy to measure, it should be routinely collected for all elderly ICU patients in particular in connection to advance care plans, and should be used in decision making.

Electronic supplementary material

The online version of this article (10.1007/s00134-019-05853-1) contains supplementary material, which is available to authorized users.

[Geriatric intensive care : Consensus paper of DGIIN, DIVI, DGAI, DGGG, ÖGGG, ÖGIAIN, DGP, DGEM, DGD, DGNI, DGIM, DGKliPha and DGG]

The proportion of elderly, frail, and multimorbid people has increased dramatically in recent decades resulting from demographic changes and will further increase, which will impact acute medical care. Prospective, randomized studies on geriatric intensive care are still lacking. There are also no international or national recommendations regarding the management of critically ill elderly patients. Based on an expert opinion, this consensus paper provides 16 statements that should be considered when dealing with geriatric critical care patients.

Relationship between community walking ability and in-hospital mortality in elderly patients with sepsis: a single-center retrospective cohort study

Purpose

To examine the association of a simple frailty assessment, Life Space (LS), with in-hospital mortality in elderly patients with sepsis.

Methods

We used data from a single hospital between 2014 and 2017. We included elderly patients (age ≥ 65 years) admitted to the intensive care unit (ICU) with sepsis, as defined by sepsis-3 criteria. Frailty assessment was based on a patient's ability to independently go out of the house before the ICU admission. We termed this dichotomous score as Life Space. The primary outcome was in-hospital mortality. Logistic regression was used to investigate the association of LS with each outcome after adjusting for age, sex, and Sequential Organ Failure Assessment score.

Results

Of the 335 participants included in the final analysis, 121 (36%) were classified as frail. LS-positive patients had a higher in-hospital mortality (adjusted odds ratio (aOR) 2.32; 95% confidence interval (CI) 1.36-3.96; P = 0.002) than did LS-negative patients. We observed similar patterns in six sets of sensitivity analyses after accounting for different confounders. In subgroup analyses, significant interactions were observed in participants with versus those without treatment limitations (aOR 1.02 vs. 2.66, P for interaction = 0.042).

Conclusions

In this single-center study, frailty assessed by LS was independently associated with a higher in-hospital mortality.

Caring for the critically ill patients over 80: a narrative review

Background

There is currently no international recommendation for the admission or treatment of the critically ill older patients over 80 years of age in the intensive care unit (ICU), and there is no valid prognostic severity score that includes specific geriatric assessments.

Main body

In this review, we report recent literature focusing on older critically ill patients in order to help physicians in the multiple-step decision-making process. It is unclear under what conditions older patients may benefit from ICU admission. Consequently, there is a wide variation in triage practices, treatment intensity levels, end-of-life practices, discharge practices and frequency of geriatrician’s involvement among institutions and clinicians. In this review, we discuss important steps in caring for critically ill older patients, from the triage to long-term outcome, with a focus on specific conditions in the very old patients.

Conclusion

According to previous considerations, we provide an algorithm presented as a guide to aid in the decision-making process for the caring of the critically ill older patients.

Electronic supplementary material

The online version of this article (10.1186/s13613-018-0458-7) contains supplementary material, which is available to authorized users.

Outcome of older persons admitted to intensive care unit, mortality, prognosis factors, dependency scores and ability trajectory within 1 year: a prospective cohort study

BACKGROUND

The outcome and functional trajectory of older persons admitted to intensive care (ICU) unit remain a true question for critical care physicians and geriatricians, due to the heterogeneity of geriatric population, heterogeneity of practices and absence of guidelines.

AIM

To describe the 1-year outcome, prognosis factors and functional trajectory for older people admitted to ICU.

METHODS

In a prospective 1-year cohort study, all patients aged 75 years and over admitted to our ICU were included according to a global comprehensive geriatric assessment. Follow-up was conducted for 1 year survivors, in particular, ability scores and living conditions.

RESULTS

Of 188 patients included [aged 82.3 ± 4.7 years, 46% of admissions, median SAPS II 53.5 (43-74), ADL of Katz's score 4.2 ± 1.6, median Barthel's index 71 (55-90), AGGIR scale 4.5 ± 1.5], the ICU, hospital and 1-year mortality were, respectively, 34, 42.5 and 65.5%. Prognosis factors were: SAPS 2, mechanical ventilation, comorbidity (Lee's and Mc Cabe's scores), disability scores (ADL of Katz's score, Barthel's index and AGGIR scale), admission creatinin, hypoalbuminemia, malignant haemopathy, cognitive impairment. One-year survivors lived in their own home for 83%, with a preserved physical ability, without significant variation of the three ability assessed scores compared to prior ICU admission.

CONCLUSION

The mortality of older people admitted to ICU is high, with a significant impact of disabilty scores, and preserved 1-year survivor independency. Other studies, including a better comprehensive geriatric assessment, seem necessary to determine a predictive "phenotype" of survival with a "satisfactory" level of autonomy.