Characteristics and Outcomes of Intensive Care Unit Survivors: Experience of a Multidisciplinary Outpatient Clinic in a Teaching Hospital

Severity classification and influencing variables of the Postintensive Care Syndrome

OBJECTIVE

The study aims to characterise Postintensive Care Syndrome by classifying the severity of the disease and identifying the variables of influence in two highly complex intensive care units for adults in Colombia.

METHODS

A descriptive, cross-sectional, prospective study was carried out to characterise survivors of critical illness using the Healthy Aging Brain Care -Monitor in a sample of 135 patients. Postintensive Care Syndrome severity was classified using Gaussian Mixture Models for clustering, and the most influencing variables were identified through ordinal logistic regression.

RESULTS

Clustering based on Gaussian Mixture Models allowed the classification of Postintensive Care Syndrome severity into mild, moderate, and severe classes, with an Akaike Information Criterion of 308 and an area under the curve of 0.80, which indicates a good fit; Thus, the mild class was characterised by a score on the HABC-M Total scale ≤9; the moderate class for a HABC-M Total score ≥10 and ≤42 and the severe class for a HABC-M Total score ≥43. Regarding the most influencing variables, the probability of belonging to the moderate or severe classes was related to male sex (91%), APACHE II score (22.5%), age (13%), intensive care units days of stay (10.6%), the use of sedation, analgesia and neuromuscular blockers.

CONCLUSION

Intensive care units survivors were characterised using the Healthy Aging Brain Care-Monitor scale, which made it possible to classify Postintensive Care Syndrome through Gaussian Mixture Models clustering into mild, moderate, and severe and to identify variables that had the major influence on the presentation of Postintensive Care Syndrome.

Depressive symptoms over time among survivors after critical illness: A systematic review and meta-analysis

OBJECTIVE

Critical illness survivors frequently experience various degrees of depressive symptoms, which hinder their recovery and return to daily life. However, substantial variability in the prevalence of depressive symptoms has been reported among critical illness survivors. The exact prevalence remains uncertain.

METHODS

A systematic search was performed in PubMed, Embase, CINAHL, and PsycINFO from inception to August 2023 for observational studies that reported depressive symptoms in adult critical illness survivors. The random-effects model was used to estimate the prevalence of depressive symptoms. Subgroup analysis and meta-regression were conducted to explore potential moderators of heterogeneity. Study quality was evaluated using the Joanna Briggs Institute's tool and the GRADE approach.

RESULTS

Fifty-two studies with 24,849 participants met the inclusion criteria. Overall prevalence estimate of depressive symptoms was 21.1% (95% CI, 18.3-24.1%). The prevalence of depressive symptoms remains stable over time. Point prevalence estimates were 21.3% (95% CI, 9.9-35.4%), 19.9% (95% CI, 14.6-25.9%), 18.5% (95% CI, 9.6-29.2%), 21.0% (95% CI, 16.8-25.5%), and 22.6% (95% CI, 14.4-31.8%) at <3, 3, 6, 12, and > 12 months after discharge from intensive care unit (ICU), respectively.

CONCLUSIONS

Depressive symptoms may impact 1 in 5 adult critically ill patients within 1 year or more following ICU discharge. An influx of rehabilitation service demand is expected, and risk stratification to make optimal clinical decisions is essential. More importantly, to propose measures for the prevention and improvement of depressive symptoms in patients after critical care, given the continuous, dynamic management of ICU patients, including ICU stay, transition to general wards, and post-hospital.

Scales to measure post intensive care syndrome, a scoping review

INTRODUCTION

Post Intensive Care Syndrome is a recently studied syndrome that affects between 50% and 70% of patients admitted to the ICU, its detection is complex due to the great variety of affected components.

OBJECTIVE

To determine the most widely used assessment instruments for the detection of post-intensive care syndrome, according to the evidence in the last 5 years.

METHODOLOGY

A scoping review was carried out in the databases: Academic Search, ScienceDirect, Scielo, Biblioteca Virtual en Salud, Medline, and Springer Link, with terms «Postintensive care syndrome» and «Post-intensive care syndrome». This review included 22 articles that met the criteria of: research or review typology, English, Spanish or Portuguese language, with access to the full text and published between 2015 and 2020.

CONCLUSIONS

Most of the instruments used to measure post-intensive care syndrome are divided according to the components of physical affectation (the Medical Research Council scale, the Katz index and the Barthel index); cognitive (Repeatable Battery for the Assessment of Neuropsychological Status, and the Montreal Cognitive Assessment test); and mental (Hospital Anxiety and Depression Scale, Beck's anxiety test, Depression Inventory Second Edition scale and Post Traumatic Stress Syndrome-14 scale). In addition, two tools were found that measure the event in its entirety with its three components, such as the Healthy Aging Brain Care Monitor and the Post-Intensive Care Syndrome Questionnaire.

Experience of Post-ICU Syndrome in Critical Disease Survivors

Introduction: Surviving Intensive Care Unit (ICU) brings positive and negative feelings, depending on each person’s experience. Likewise, some patients may present with negative mental and physical consequences after discharge, causing a very complex stay at home. Aim: To understand the experience of critical illness survivors after three months of ICU discharge. Methods: Hermeneutical phenomenological study using in-depth interviews with 15 adult participants after three months of ICU discharge. Data analysis was made considering Cohen, Kahn, and Steeves’ procedures. Results: Phenomenological analysis revealed three existential themes: Changes in memory and mood, Changes in day-to-day life, and My body after ICU. Conclusion: Surviving ICU brings with it positive aspects such as winning a battle against death. However, psychological, emotional, and physical consequences after discharge turn it into an exhausting experience.

Musculoskeletal complications following critical illness: A scoping review

PURPOSE

To explore the extent to which musculoskeletal (MSK) complications have been reported following critical illness, identifying evidence gaps and providing recommendations for future research.

MATERIALS AND METHODS

We searched five databases from January 1st 2000 to March 31st 2021. We included published original research reporting MSK complications in patients discharged from hospital following an admission to an intensive care unit (ICU). Two reviewers independently screened English language articles for eligibility. Data extracted included the MSK area of investigation and MSK outcome measures. The overall quality of study was evaluated against standardised reporting guidelines.

RESULTS

4512 titles were screened, and 32 met the inclusion criteria. Only one study included was interventional, with the majority being prospective cohort studies (n = 22). MSK complications identified included: muscle weakness or atrophy, chronic pain, neuromuscular dysfunction, peripheral joint impairment and fracture risk. The quality of the overall reporting in the studies was deemed adequate.

CONCLUSIONS

We identified a heterogenous body of literature reporting a high prevalence of a variety of MSK complications extending beyond muscle weakness, therefore future investigation should include evaluations of more than one MSK area. Further investigation of MSK complications could inform the development of future post critical illness rehabilitation programs.