Baseline Anxiety and Depression and Risk for ICU Delirium: A Prospective Cohort Study

Enhancing hospice care with psychological support and a nomogram to predict delirium in patients with advanced solid tumors

To assesses the impact of integrating hospice care with psychological interventions on patient well-being and to introduce a predictive nomogram model for delirium that incorporates clinical and psychosocial variables, thereby improving the accuracy in hospice care environments. Data from 381 patients treated from September 2018 to February 2023 were analyzed. The patients were divided into a control group (n=177, receiving standard care) and an experimental group (n=204, receiving combined hospice care and psychological interventions) according to the treatment modality. The duration of care extended until the patient's discharge from the hospital or death. The experimental group demonstrated significant improvements in emotional well-being and a lower incidence of delirium compared to the control group. Specifically, emotional well-being assessments revealed marked improvements in the experimental group, as evidenced by lower scores on the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) post-intervention. The nomogram model, developed using logistic regression based on clinical characteristics, effectively predicted the risk of delirium in patients with advanced cancer. Significant predictors in the model included ECOG score ≥3, Palliative Prognostic Index score ≥6, opioid usage, polypharmacy, infections, sleep disorders, organ failure, brain metastases, electrolyte imbalances, activity limitations, pre-care SAS score ≥60, pre-care SDS score ≥63, and pre-care KPS score ≥60. The model's predictive accuracy was validated, showing AUC values of 0.839 for the training cohort and 0.864 for the validation cohort, with calibration and Decision Curve Analysis (DCA) confirming its clinical utility. Integrating hospice care with psychological interventions not only significantly enhanced the emotional well-being of advanced cancer patients but also reduced the actual incidence of delirium. This approach, offering a valuable Nomogram model for precise care planning and risk management, underscores the importance of integrated, personalized care strategies in advanced cancer management.

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.

Risk factors for dementia in older intensive care unit (ICU) survivors

INTRODUCTION

As the number of older intensive care unit (ICU) survivors grows, there is an urgent need to identify modifiable risk factors for post-ICU dementia.

METHODS

We performed a secondary data analysis of 3144 ICU patients ≥ 50 years of age without a history of dementia or severe mental illness who were screened as part of the Pharmacological Management of Delirium (PMD) study. Delirium was assessed using the Confusion Assessment Method for the ICU. Dementia was identified using International Classification of Diseases Ninth and Tenth revision codes for dementia or prescription of anti-dementia medication.

RESULTS

Average age (standard deviation) was 65.2 ± 9.5 years; 50.4% were female; and 37.3% were Black. Analyses identified stroke (adjusted hazard ratio [HR] 2.49; 95% confidence interval [CI: 1.52, 4.07], P < 0.001), and depression (adjusted HR 3.03; 95% CI [1.80, 5.10], P < 0.001) as post-ICU risk factors for dementia.

DISCUSSION

Future studies will need to examine whether interventions targeting post-ICU stroke and depression can lower dementia incidence in ICU survivors.

HIGHLIGHTS

Risk factors for post-intensive care unit (ICU) dementia were distinct from those of Alzheimer's disease. Cardiovascular risk factors were not associated with dementia in older ICU survivors. Post-ICU stroke was associated with a higher risk of dementia in older ICU survivors. Post-ICU depression was associated with a higher risk of dementia in older ICU survivors.

Effects of an interactive handgrip game on surgical patients requiring intensive care: An assessor-blinded randomized controlled trial

OBJECTIVE

To explore the effect of an interactive handgrip game on psychological distress and handgrip strength among critically ill surgical patients.

DESIGN

A randomised controlled trial.

SETTING

A surgical intensive care unit.

INTERVENTION

Participants were enrolled in the program within 48 hours of admission to the intensive care unit. Patients in the intervention group played a 20-minute interactive handgrip game twice daily for a maximum of three days in the intensive care unit in addition to routinely passive physical rehabilitation. Patients in the routine care group had a daily target of 20 min of passive physical rehabilitation as needed.

MEASUREMENT

The primary outcomes included depression, anxiety, and stress measured using the shortened version of the Depression Anxiety Stress Score scale. The secondary outcomes were perceived sleep evaluated using the Richards-Campbell Sleep Questionnaire, delirium assessed using the Intensive Care Delirium Screening Checklist, and handgrip strength measured using handgrip dynamometry within a handgrip device.

RESULTS

Two hundred and twenty-seven patients were eligible and 70 patients were recruited in the intervention (n = 35) and routine care groups (n = 35). The patients in the intervention group had lower scores (median = 6.0, 4.0, and 12.0) for depression, anxiety, and stress compared with those in the routine care group (12.0, 12.0, and 20.0; all p < 0.05). The interactive handgrip game did not significantly improve sleep quality and prevent the occurrence of delirium (both p > 0.05). The patients who received the interactive handgrip game intervention exhibited significantly enhanced handgrip strength in both hands over time (both p < 0.001).

CONCLUSION

An interactive handgrip game may benefit the psychological well-being and handgrip strength of critically ill patients.

IMPLICATIONS FOR CLINICAL PRACTICE

Interactive handgrip games is effective active exercise which should be integrated into routine nursing practice.