A study protocol for an observational cohort investigating COGnitive outcomes and WELLness in survivors of critical illness: the COGWELL study

The Management of Chronic Pain: Re-Centring Person-Centred Care

The drive for a more person-centred approach in the broader field of clinical medicine is also gaining traction in chronic pain treatment. Despite current advances, a further departure from 'business as usual' is required to ensure that the care offered or received is not only effective but also considers personal values, goals, abilities, and day-to-day realities. Existing work typically focuses on explaining pain symptoms and the development of standardised interventions, at the risk of overlooking the broader consequences of pain in individuals' lives and individual differences in pain responses. This review underscores the importance of considering additional factors, such as the influence of chronic pain on an individual's sense of self. It explores innovative approaches to chronic pain management that have the potential to optimise effectiveness and offer person-centred care. Furthermore, it delves into research applying hybrid and individual formulations, along with self-monitoring technologies, to enhance pain assessment and the tailoring of management strategies. In conclusion, this review advocates for chronic pain management approaches that align with an individual's priorities and realities while fostering their active involvement in self-monitoring and self-management.

Delirium detection using GAMMA wave and machine learning: A pilot study

Delirium occurs in as many as 80% of critically ill older adults and is associated with increased long-term cognitive impairment, institutionalization, and mortality. Less than half of delirium cases are identified using currently available subjective assessment tools. Electroencephalogram (EEG) has been identified as a reliable objective measure but has not been feasible. This study was a prospective pilot proof-of-concept study, to examine the use of machine learning methods evaluating the use of gamma band to predict delirium from EEG data derived from a limited lead rapid response handheld device. Data from 13 critically ill participants aged 50 or older requiring mechanical ventilation for more than 12 h were enrolled. Across the three models, accuracy of predicting delirium was 70 or greater. Stepwise discriminant analysis provided the best overall method. While additional research is needed to determine the best cut points and efficacy, use of a handheld limited lead rapid response EEG device capable of monitoring all five cerebral lobes of the brain for predicting delirium hold promise.

Long-Term Cognitive Outcomes and Sleep in Adults After Extracorporeal Life Support

Objectives:

To assess differences in cognitive outcomes and sleep in adult survivors of critical illness, managed with venovenous extracorporeal membrane oxygenation as compared to conventional mechanical ventilation only.

Design:

Retrospective cohort study linked with data from the COGnitive outcomes and WELLness study.

Setting:

A multisite study from five adult medical/surgical ICUs in Toronto.

Patients:

Thirty-three ICU survivors including adult patients who received venovenous extracorporeal membrane oxygenation (n = 11) matched with patients who received mechanical ventilation only (n = 22) using specified covariates (e.g., age).

Interventions:

None.

Measurements and Main Results:

Baseline demographics and admission diagnoses were collected at enrollment. Cognitive outcome was evaluated using the Repeatable Battery for the Assessment of Neuropsychologic Status (global cognitive function) and Trail Making Test B (executive function), and sleep variables were estimated using actigraphy. Assessments occurred at 7 days post ICU discharge and again at 6- and 12-month follow-up. No statistically significant difference was seen between patients treated with or without venovenous extracorporeal membrane oxygenation in the mean daily Riker Sedation Agitation Score; however, patients in the venovenous extracorporeal membrane oxygenation group received greater amounts of fentanyl over their ICU stay as compared to patients receiving conventional mechanical ventilation only (p < 0.001). No significant differences were found in performance on either of the cognitive assessment tools, between survivors treated or not with venovenous extracorporeal membrane oxygenation at any of the time points assessed. Total sleep time estimated by actigraphy increased from approximately 6.5 hours in hospital to 7.5 hours at 6-month follow-up in all patients, regardless of treatment type. Total sleep time remained consistent in both groups from 6 to 12 months post ICU discharge.

Conclusions:

In this small retrospective case series, no significant differences were found in sleep or cognitive outcomes between extracorporeal life support and non–extracorporeal life support survivors. Further, in this hypothesis-generating study, differences in administered sedative doses during the ICU stay seen between the two groups did not impact 6- or 12-month cognitive performance or actigraphy-estimated sleep time.

The Feasibility and Validity of Objective and Patient-Reported Measurements of Cognition During Early Critical Illness Recovery

BACKGROUND

Cognitive outcomes are an important determinant of quality of life after critical illness, but methods to assess early cognitive impairment and cognition recovery are not established. The objective of this study was to assess the feasibility and validity of objective and patient-reported cognition assessments for generalized use during early recovery from critical illness.

METHODS

Patients presented from the community with acute onset of either intracerebral hemorrhage (ICH) or sepsis as representative neurologic and systemic critical illnesses. Early cognitive assessments comprised the Glasgow Coma Scale (GCS), three NIH Toolbox cognition measures (Flanker Inhibitory Control and Attention Test, List Sorting Working Memory Test and Pattern Comparison Processing Speed Test) and two Patient Reported Outcomes Measurement Information System (PROMIS) cognition measures (Cognition-General Concerns and Cognition-Abilities) performed seven days after intensive care unit discharge or at hospital discharge, whichever occurred first.

RESULTS

We enrolled 91 patients (53 with sepsis, 38 with ICH), and after attrition principally due to deaths, cognitive assessments were attempted in 73 cases. Median [interquartile range] Sequential Organ Failure Assessment scores for patients with sepsis was 7 [3, 11]. ICH cases included 13 lobar, 21 deep and 4 infratentorial hemorrhages with a median [IQR] ICH Score 2 [1, 2]. Patient-reported outcomes were successfully obtained in 42 (58% overall, 79% of sepsis and 34% of ICH) patients but scores were anomalously favorable (median 97th percentile compared to the general adult population). Analysis of the PROMIS item bank by four blinded, board-certified academic neurointensivists revealed a strong correlation between higher severity of reported symptoms and greater situational relevance of the items (ρ = 0.72, p = 0.002 correlation with expert item assessment), indicating poor construct validity in this population. NIH Toolbox tests were obtainable in only 9 (12%) patients, all of whom were unimpaired by GCS (score 15) and completed PROMIS assessments. Median scores were 5th percentile (interquartile range [2nd, 9th] percentile) and uncorrelated with self-reported symptoms. Shorter intensive care unit length of stay was associated with successful testing in both patients with ICH and sepsis, along with lower ICH Score in patients with ICH and absence of premorbid dementia in patients with sepsis (all p < 0.05).

CONCLUSIONS

Methods of objective and patient-reported cognitive testing that have been validated for use in patients with chronic medical and neurologic illness were infeasible or yielded invalid results among a general sample of patients in this study who were in early recovery from neurologic and systemic critical illness. Longer critical illness duration and worse neurocognitive impairments, whether chronic or acute, reduced testing feasibility.

Sleep Fragmentation and Cognitive Trajectories After Critical Illness

BACKGROUND

ICU survivors can experience both cognitive dysfunction and persistent sleep disturbances after hospitalization. Sleep disturbances have been linked with cognitive impairment in various patient populations, and the apolipoprotein E (APOE) genotype has been linked to sleep-related impairments in cognition.

RESEARCH QUESTION

Is there an association between sleep, long-term cognition, and APOE status in ICU survivors?

STUDY DESIGN AND METHODS

We enrolled 150 patients from five centers who had been mechanically ventilated for at least 3 days; 102 patients survived to ICU discharge. Actigraphy and cognitive testing were undertaken at 7 days, 6 months, and 12 months after ICU discharge, and sleep duration, quality, and timing were estimated by actigraphy. APOE single nucleotide polymorphisms were assessed for each patient.

RESULTS

Actigraphy-estimated sleep fragmentation, but not total sleep time or interdaily stability (estimate of circadian rhythmicity), was associated with worse cognitive impairment at 7 days of ICU discharge. No actigraphy-estimated variable of sleep estimation at 7 days post-ICU discharge predicted cognitive impairment or persistent sleep abnormalities at 6 and 12 months of follow-up in subsequently assessed survivors. Possessing the APOE ε4 allele was not significantly associated with sleep disturbances and its presence did not modify the risk of sleep-related cognitive impairment at follow-up.

INTERPRETATION

Sleep fragmentation estimated by actigraphy was associated with worse cognitive performance in hospital, but not at later time intervals. Further research is needed to better delineate the relationship between persistent sleep disturbances and cognition in larger numbers of ICU survivors.

TRIAL REGISTRY

ClinicalTrials.gov; No.: NCT02086877; URL: www.clinicaltrials.gov.

Impact of Cognitive Impairment Across Specialties: Summary of a Report From the U13 Conference Series

Although declines in cognitive capacity are assumed to be a characteristic of aging, increasing evidence shows that it is age-related disease, rather than age itself, that causes cognitive impairment. Even so, older age is a primary risk factor for cognitive decline, and with individuals living longer as a result of medical advances, cognitive impairment and dementia are increasing in prevalence. On March 26 to 27, 2018, the American Geriatrics Society convened a conference in Bethesda, MD, to explore cognitive impairment across the subspecialties. Bringing together representatives from several subspecialties, this was the third of three conferences, supported by a U13 grant from the National Institute on Aging, to aid recipients of Grants for Early Medical/Surgical Specialists' Transition to Aging Research (GEMSSTAR) in integrating geriatrics into their subspecialties. Scientific sessions focused on the impact of cognitive impairment, sensory contributors, comorbidities, links between delirium and dementia, and issues of informed consent in cognitively impaired populations. Discussions highlighted the complexity not only of cognitive health itself, but also of the bidirectional relationship between cognitive health and the health of other organ systems. Thus, conference participants noted the importance of multidisciplinary team science in future aging research. This article summarizes the full conference report, "The Impact of Cognitive Impairment Across Specialties," and notes areas where GEMSSTAR scholars can contribute to progress as they embark on their careers in aging research. J Am Geriatr Soc 67:2011-2017, 2019.

Challenges in conducting long-term outcomes studies in critical care

PURPOSE OF REVIEW

Evaluating longer term mortality, morbidity, and quality of life in survivors of critical illness is a research priority. This review details the challenges of long-term follow-up studies of critically ill patients and highlights recently proposed methodological solutions.

RECENT FINDINGS

Barriers to long-term follow-up studies of critical care survivors include high rates of study attrition because of death or loss to follow-up, data missingness from experienced morbidity, and lack of standardized outcome as well as reporting of key covariates. A number of recent methods have been proposed to reduce study patients attrition, including minimum data set selection and visits to transitional care or home settings, yet these have significant downsides as well. Conducting long-term follow-up even in the absence of such models carries a high expense, as personnel are very costly, and patients/families require reimbursement for their time and inconvenience.

SUMMARY

There is a reason why many research groups do not conduct long-term outcomes in critical care: it is very difficult. Challenges of long-term follow-up require careful consideration by study investigators to ensure our collective success in data integration and a better understanding of underlying mechanisms of mortality and morbidity seen in critical care survivorship.