Interdisciplinary Treatment for Survivors of Critical Illness in the Era of COVID-19: Expanding the Post-Intensive Care Recovery Model and Impact on Psychiatric Outcomes

A multidisciplinary approach to assessment and management of long COVID cognitive concerns

Cognitive dysfunction is a commonly reported feature of Long COVID (LC). With the overlap of assessment and treatment for cognitive concerns across multiple disciplines, coupled with current guidelines supporting interdisciplinary care, the aim of this clinically focused article is to provide a review of current guidelines and research related to assessment and interventions to address LC-related cognitive concerns within clinical practice from a multidisciplinary perspective, incorporating best practices for collaboration among Clinical Neuropsychologists, Rehabilitation Psychologists, and Speech-Language Pathologists. Current guidelines for assessment and interventions for cognitive functioning are provided, with clinical suggestions for best practices offered. Additional considerations related to diversity and variable patient presentations are identified. This article provides guidance based on current research and practice standards regarding the utilization of a multidisciplinary, collaborative approach to provide comprehensive assessment and treatment for individuals with LC-related cognitive concerns.

Delirium and Coronavirus Disease 2019: Looking Back, Moving Forward

During the coronavirus disease 2019 pandemic, crisis changes in clinical care increased rates of delirium in the intensive care unit (ICU). Deep sedation, unfamiliar environments with visitor restrictions, and such factors due to high workload and health system strain contributed to the occurrence of delirium doubling in the ICU. As the pandemic wanes, health care systems and ICU leadership must emphasize post-pandemic recovery, integrating lessons learned about delirium management, evidence-based care, and family involvement. Strategies to empower clinicians, creatively deliver care, and integrate families pave the way forward for a more holistic approach to patient care in the post-pandemic era.

A shift towards targeted post-ICU treatment: Multidisciplinary care for cardiac arrest survivors

Intensive Care Unit (ICU) survivorship comprises a burgeoning area of critical care medicine, largely due to our improved understanding of and concern for patients' recovery trajectory, and efforts to mitigate the post-acute complications of critical illness. Expansion of care beyond hospitalization is necessary, yet evidence for post-ICU clinics remains limited and mixed, as both interventions and target populations studied to date are too heterogenous to meaningfully demonstrate efficacy. Here, we briefly present the existing evidence and limitations related to post-ICU clinics, identify cardiac arrest survivors as a unique ICU subpopulation warranting further investigation and treatment, and propose a clinical framework that addresses the multifaceted needs of this well-defined patient population.

Pathophysiological, immunological, and inflammatory features of long COVID

The COVID-19 pandemic continues to cause severe global disruption, resulting in significant excess mortality, overwhelming healthcare systems, and imposing substantial social and economic burdens on nations. While most of the attention and therapeutic efforts have concentrated on the acute phase of the disease, a notable proportion of survivors experience persistent symptoms post-infection clearance. This diverse set of symptoms, loosely categorized as long COVID, presents a potential additional public health crisis. It is estimated that 1 in 5 COVID-19 survivors exhibit clinical manifestations consistent with long COVID. Despite this prevalence, the mechanisms and pathophysiology of long COVID remain poorly understood. Alarmingly, evidence suggests that a significant proportion of cases within this clinical condition develop debilitating or disabling symptoms. Hence, urgent priority should be given to further studies on this condition to equip global public health systems for its management. This review provides an overview of available information on this emerging clinical condition, focusing on the affected individuals' epidemiology, pathophysiological mechanisms, and immunological and inflammatory profiles.

The global prevalence of depression, anxiety, and sleep disorder among patients coping with Post COVID-19 syndrome (long COVID): a systematic review and meta-analysis

BACKGROUND

Post COVID-19 syndrome, also known as "Long COVID," is a complex and multifaceted condition that affects individuals who have recovered from SARS-CoV-2 infection. This systematic review and meta-analysis aim to comprehensively assess the global prevalence of depression, anxiety, and sleep disorder in individuals coping with Post COVID-19 syndrome.

METHODS

A rigorous search of electronic databases was conducted to identify original studies until 24 January 2023. The inclusion criteria comprised studies employing previously validated assessment tools for depression, anxiety, and sleep disorders, reporting prevalence rates, and encompassing patients of all age groups and geographical regions for subgroup analysis Random effects model was utilized for the meta-analysis. Meta-regression analysis was done.

RESULTS

The pooled prevalence of depression and anxiety among patients coping with Post COVID-19 syndrome was estimated to be 23% (95% CI: 20%-26%; I2 = 99.9%) based on data from 143 studies with 7,782,124 participants and 132 studies with 9,320,687 participants, respectively. The pooled prevalence of sleep disorder among these patients, derived from 27 studies with 15,362 participants, was estimated to be 45% (95% CI: 37%-53%; I2 = 98.7%). Subgroup analyses based on geographical regions and assessment scales revealed significant variations in prevalence rates. Meta-regression analysis showed significant correlations between the prevalence and total sample size of studies, the age of participants, and the percentage of male participants. Publication bias was assessed using Doi plot visualization and the Peters test, revealing a potential source of publication bias for depression (p = 0.0085) and sleep disorder (p = 0.02). However, no evidence of publication bias was found for anxiety (p = 0.11).

CONCLUSION

This systematic review and meta-analysis demonstrate a considerable burden of mental health issues, including depression, anxiety, and sleep disorders, among individuals recovering from COVID-19. The findings emphasize the need for comprehensive mental health support and tailored interventions for patients experiencing persistent symptoms after COVID-19 recovery.

Real-world data analysis of post-COVID-19 condition risk in older patients

This study investigated the risk of post-COVID-19 conditions in older patients with COVID-19 compared to those with influenza, and how age impacts this relationship. Patients aged ≥65 years with COVID-19 or influenza were identified using the TriNetX network. The risk of post-COVID-19 conditions was compared between survivors of COVID-19 and influenza, followed by a comparison of post-COVID-19 conditions risk between patients aged 65-74 years and those aged over 75 years. Compared with influenza survivors, post-COVID-19 conditions were significantly more prevalent in patients with COVID-19 (hazard ratio [HR], 1.534; 95% confidence interval [CI]: 1.405-1.675). Specifically, COVID-19 survivors have a significantly higher risk of experiencing abnormal breathing (HR, 2.052; 95% CI: 1.757-2.397), fatigue (HR, 1.587; 95% CI: 1.322-1.905), anxiety/depression (HR, 1.587; 95% CI: 1.322-1.905), cognitive symptoms (HR, 1.667; 95% CI: 1.295-2.146) and cough (HR, 1.250; 95% CI: 1.006-1.553) compared with the influenza group. Contrastingly, no significant difference was observed in the risk of any post-COVID-19 condition between COVID-19 survivors aged 65-74 years and those aged over 75 years (HR, 0.994; 95% CI: 0.920-1.073). However, a lower incidence of cognitive symptoms was observed in patients aged 65-74 years compared to those aged ≥75 years (HR, 0.543; 95% CI: 0.445-0.661). In conclusion, compared with influenza, older patients have a higher risk of developing post-COVID-19 conditions after SARS-CoV-2 infection, and those aged over ≥75 years may have an increased risk of developing cognitive symptoms compared to those aged 65-74 years.