Anxiety and depression in intensive care patients six months after admission to an intensive care unit: A cohort study

Effect size estimates of risk factors for post-intensive care syndrome: A systematic review and meta-analysis

OBJECTIVE

To provide updated evidence on the risk factors and accurately quantify the effect size of the risk factors associated with post-intensive care syndrome (PICS), encompassing cognitive, mental, physical and socio-economic domains.

RESEARCH METHODOLOGY

We conducted a systematic review of literature from January 2010 to October 2023. The meta-analysis was conducted to calculate an effect size for every risk factor, and odds ratio and 95% confidence intervals were used as summary statistics.

RESULTS

Of 67,468 retrieved studies, 160 were included in qualitative synthesis, 102 were included in quantitative synthesis. A total of 60 factors were identified, categorized into 17 person-related, 23 disease-related and 20 ICU-related categories. The strongest correlations with cognitive health were observed for previous cognitive problems, sedatives and delirium. Factors most strongly correlated with mental health included previous mental problems, delirium, lack of social support, illicit drug and bad experience in ICU. The strongest correlations with physical health involved previous mental problem, delirium, organ dysfunction of neurologic and respiratory support. For socio-economic domains, older age and female were identified as significant risk factors.

CONCLUSIONS

This systematic review and meta-analysis identified and quantified the person, disease, and ICU-related risk factors associated with PICS. These findings may enable clinicians to better recognize the patient at high risk for PICS at an early stage during their stay in ICU.

IMPLICATIONS FOR CLINICAL PRACTICE

A thorough investigation of risk factors across the four domains of PICS is necessary to gain a holistic understanding. The identification and integration of risk factors associated with PICS empower critical care multidisciplinary teams to optimize management strategies, thereby assisting ICU survivors a better recovery. Since multiple risk factors may be simultaneously associated with the four domains of post-intensive care syndrome, it is imperative to develop a comprehensive prediction algorithm.

Comparative efficacy of non-pharmacological interventions for anxiety in adult intensive care unit patients: A systematic review and network meta-analysis

BACKGROUND

The primary goal of the intensive care unit is to the anxiety of conscious patients is often ignored in the care unit.

AIM

The purpose of this study was to assess the efficacy of various non-pharmacological therapies for anxiety disorders in adult patients in the intensive care unit, in order to enhance humanistic care in the intensive care unit and to promote the patients' physical and mental recovery together.

STUDY DESIGN

We conducted a systematic and comprehensive search of the literature in five databases (including the Cochrane Library, PubMed, EBSCO, Web of Science, and Embase) covering nearly a decade for randomized controlled trials of non-pharmacological therapies to reduce anxiety in adult intensive care unit patients. Two researchers independently assessed the quality of the literature, collected and condensed the data, and used STATA software to perform a network meta-analysis. The ranking probabilities for each intervention were calculated using the Surface under the Cumulative Ranking (SUCRA) method. The study protocol was registered with PROSPERO.

RESULTS

This study ultimately included 26 randomized controlled trials involving 2791 adult ICU patients. Non-pharmacological interventions for anxiety in adult ICU patients included music therapy, aromatherapy, ICU diary, virtual reality, massage therapy, monitoring room diary, and health education. when compared to the control group (usual care), aromatherapy + music therapy [MD = -2.65, 95% CI (-4.76, -0.54)] (P = 0.0137) and music therapy [MD = -1.77, 95% CI (-3.40, -0.13)] (P = 0.0338) were superior in reducing anxiety in adult ICU patients. The results of the network meta-analysis showed that aromatherapy combined with music therapy significantly alleviated anxiety in adult ICU patients (SUCRA: 99.8%).

CONCLUSIONS

Music therapy combined with aromatherapy has demonstrated superior effectiveness compared to other non-pharmacological interventions for reducing anxiety in awake adults in the ICU. However, the underlying mechanisms of this combined therapy require further exploration.

RELEVANCE TO CLINICAL PRACTICE

Future research on the use of music therapy combined with aromatherapy in the care unit may help reduce anxiety in patients while fostering their physical and mental healing; however, individual variances and unique clinical circumstances must be considered.

Patient Outcomes and Management Strategies for Intensive Care Unit (ICU)-Associated Delirium: A Literature Review

Delirium is a significant public health concern, with tremendous implications for patient outcomes. Intensive care unit (ICU)-related delirium is gaining attention due to the higher prevalence of delirium in ICU-admitted patients. The most common negative outcomes of ICU delirium include cognitive impairments, functional dependence, high incidence of mortality, extended stay in the ICU, and high costs. So far, no single etiological factor has been identified as the sole cause of delirium. Several functional, neurotransmitter, or injury-causing hypotheses have been proposed for ICU delirium. Several risk factors contribute to the development of delirium in patients admitted to the ICU. These are age, gender, types of sedation, physical restraints, medical and surgical interventions, pain, and extended stay in the ICU. The most commonly used assessment modules for ICU delirium are the PREdiction of DELIRium in ICu patients (PRE-DELIRIC), Early PREdiction model for DELIRium in ICu patients (E-PRE-DELERIC), and Lanzhou Model, Confusion Assessment Method for the Intensive Care Unit (CAM-ICU), Intensive Care Delirium Screening Checklist (ICDSC), and Delirium Rating Scale (DRS). There is no proper treatment for ICU delirium; however, it can be managed through various pharmacological and non-pharmacological interventions. Healthcare providers should receive constant education and training on delirium recognition, prevention, and management to enhance patient care and outcomes in the ICU. Further research is needed on the effective prevention and management of ICU delirium.

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.