Post-Intensive Care Syndrome in Covid-19 Patients Discharged From the Intensive Care Unit

Post-infection symptoms up to 24 months after COVID-19: a matched cohort study in Berlin, Germany

Introduction

Long-term health consequences after mild COVID-19 are not well described. Our aim was to estimate their prevalence and describe the time course of signs and symptoms for a period of up to 24 months after SARS-CoV-2 infection.

Methods

We conducted a cohort study matched for age, sex, and test week among individuals who had attended the public COVID-19 test center at Charité-Universitätsmedizin Berlin, Germany. In early 2022, 576 former COVID-19 patients (>95% non-hospitalized) and 302 uninfected individuals responded to a questionnaire on retrospective monthly symptoms since the test date up to 24 months ago.

Results

Symptoms compatible with long COVID were present in 42.9% (247/576) of former COVID-19 patients, compared with 21.2% (64/302) in the uninfected group. In former patients, unadjusted odds ratios (OR) were highest for disturbed taste/smell (OR 9.1 [95% CI: 4.0-21.1]), memory difficulties (OR 5.1 [95% CI: 2.9-8.9]), and shortness of breath at rest (OR 4.5 [95% CI: 1.9-10.6]). In most former COVID-19 patients, symptoms occurred in one coherent period and resolved after a median of 6.5 months, while taste/smell disturbance and neurological/cognitive symptoms showed longer times until recovery. Factors associated with long COVID-compatible symptoms included hospitalization, symptomatic COVID-19 infection, low household income and female sex.

Conclusion

Post-infection symptoms in mild COVID-19 patients mostly persist for about half a year, but sometimes longer. Among uninfected individuals who never experienced COVID-19, 21.2% also reported long COVID-compatible symptoms. The current long COVID definition might require revision to prevent misclassification and over-reporting, and to improve diagnosis and prevalence estimates.

Prevalence of and risk factors analysis for post-intensive care syndrome among survivors of critical care during 3-month longitudinal follow-up

BACKGROUND

Patients discharged from the intensive care unit (ICU) can experience post-intensive care syndrome (PICS), which is comprised of cognitive, physical and psychological impairments.

AIM

The objective of this study was to identify the prevalence of and risk factors associated with all three domains of PICS at the first and third month after ICU discharge.

DESIGN

A prospective descriptive-analytic study was conducted in two ICUs of a Chinese university hospital. We used the Healthy Aging Brain Care Monitor Self-Report Chinese version, a scale from 1 to 57, with 57 indicating the worst outcome, to comprehensively assess PICS at the first and third month follow-ups after patients left the ICU. We performed an analysis of stepwise multiple linear regression to explore the relationship between risk factors and PICS.

RESULTS

We enrolled 654 and 584 participants at the first- and third-month follow-ups, respectively. More than 60% of patients experienced different degrees of PICS, with the most severe impairment being in the physical domain. We classified risk factors associated with PICS, categorized as patient-related, disease-related, and ICU-related factors. Among these risk factors, only being the main income provider for the family, the diagnosis of digestive system disease, trauma and the number of invasive catheters at ICU discharge significantly predicted PICS at both follow-ups. ICU-related risk factors should be given greater attention, given their potential for modification.

CONCLUSIONS

The prevalence and severity of PICS were high in this population after their ICU stay. ICU nurses and medical staff members should collaborate to pay more attention to the comprehensive risk factors and implement targeted preventive measures.

RELEVANCE TO CLINICAL PRACTICE

ICU staff must have a holistic view of PICS and a comprehensive understanding of its risk factors to proactively evaluate patients at high risk of PICS upon admission to the hospital.

Post-Intensive Care Syndrome Family

Family members of patients admitted to intensive care units often experience psychological distress, including depression, anxiety, and trauma symptoms, known as post-intensive care syndrome-family (PICS-F), due to the stress from having a critically ill loved one and resultant caregiver burden. Awareness of this syndrome is needed, as are prevention and management strategies, to improve outcomes.

Symptoms before and after COVID-19: a population and case-control study using prospective data

BACKGROUND

Some individuals experience prolonged illness after acute coronavirus disease 2019 (COVID-19). We assessed whether pre-infection symptoms affected post-acute COVID illness duration.

METHODS

Survival analysis was performed in adults (n=23 452) with community-managed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection prospectively self-logging data through the ZOE COVID Symptom Study app, at least weekly, from 8 weeks before to 12 weeks after COVID-19 onset, conditioned on presence versus absence of baseline symptoms (4-8 weeks before COVID-19). A case-control study was performed in 1350 individuals with long illness (≥8 weeks, including 906 individuals (67.1%) with illness ≥12 weeks), matched 1:1 (for age, sex, body mass index, testing week, prior infection, vaccination, smoking, index of multiple deprivation) with 1350 individuals with short illness (<4 weeks). Baseline symptoms were compared between the two groups, and against post-COVID symptoms.

RESULTS

Individuals reporting baseline symptoms had longer COVID-related symptom duration (median 15 days versus 10 days for individuals without baseline symptoms) with baseline fatigue nearly doubling duration. Two-thirds (910 (67.4%) of 1350) of individuals with long illness were asymptomatic beforehand. However, 440 (32.6%) had baseline symptoms, versus 255 (18.9%) of 1350 individuals with short illness (p<0.0001). Baseline symptoms doubled the odds ratio for long illness (2.14, 95% CI 1.78-2.57). Prior comorbidities were more common in individuals with long versus short illness. In individuals with long illness, baseline symptomatic (versus asymptomatic) individuals were more likely to be female, younger, and have prior comorbidities; and baseline and post-acute symptoms, and symptom burden, correlated strongly.

CONCLUSIONS

Individuals experiencing symptoms before COVID-19 had longer illness duration and increased odds of long illness. However, many individuals with long illness were well before SARS-CoV-2 infection.

Outcomes and Management After COVID-19 Critical Illness

TOPIC IMPORTANCE

COVID-19 has caused > 7 million deaths worldwide since its onset in 2019. Although the severity of illness has varied throughout the pandemic, critical illness related to COVID-19 persists. Survivors of COVID-19 critical illness can be left with sequelae of both the SARS-CoV-2 virus and long-term effects of critical illness included within post-intensive care syndrome. Given the complexity and heterogeneity of COVID-19 critical illness, the biopsychosocial-ecological model can aid in evaluation and treatment of survivors, integrating interactions among physical, cognitive, and psychological domains, as well as social systems and environments.

REVIEW FINDINGS

Prolonged illness after COVID-19 critical illness generally can be classified into effects on physical, cognitive, and psychosocial function, with much interaction among the various effects, and includes a wide range of symptoms such as ICU-acquired weakness, prolonged respiratory symptoms, cognitive changes, post-traumatic stress disorder post-traumatic stress disorder, anxiety, and depression. Risk factors for COVID-19 critical illness developing are complex and include preexisting factors, disease course, and specifics of hospitalization in addition to psychological comorbidities and socioenvironmental factors. Recovery trajectories are not well defined, and management requires a comprehensive, interdisciplinary, and individualized approach to care.

SUMMARY

The onset of vaccinations, new therapeutics, and new strains of SARS-CoV-2 virus have decreased COVID-19 mortality; however, the number of survivors of COVID-19 critical illness remains high. A biopsychosocial-ecological approach is recommended to guide care of COVID-19 critical illness survivors.

Perceived Stress and Level of Uncertainty Among Hospitalized COVID-19 Patients

Introduction

Disease uncertainty refers to the inability to assign meaning to events related to the illness. Uncertainty of the disease can affect various aspects of human life such as psychological aspects.

Objectives

This study aims to examine the relationship between disease uncertainty and perceived stress in COVID-19 patients.

Methods

An analytical cross-sectional study was conducted on 212 hospitalized COVID-19 patients who were initially admitted to the intensive care units (ICUs) and later transferred to general wards within the same hospitals. Three instruments were utilized to collect data for this study. The Demographic Information Questionnaire, Mishel Uncertainty in Illness Scale (MUIS) for disease uncertainty, and Perceived Stress Questionnaire. For data analysis, both descriptive and inferential statistics were employed using IBM SPSS Statistics version 25.

Results

The Pearson correlation coefficient matrix results showed a positive and significant relationship between uncertainty about the illness (P < .001, r = 0.829), ambiguity (P < .001, r = 0.795), complexity (P < .001, r = 0.835), inconsistency or instability (P < .001, r = 0.787), and unpredictability (P < .001, r = 0.776) with perceived stress in COVID-19 patients transferred from the intensive care units.

Conclusion

Based on the findings of the current study, both uncertainty and perceived stress are elevated among COVID-19 patients, and a significant and direct relationship exists between these two variables. Healthcare providers, particularly nurses, should address the uncertainties surrounding emerging diseases, both at the hospital and community levels.

Risk Factors for the Impairment of Ambulation in Older People Hospitalized with COVID-19: A Retrospective Cohort Study

(1) Background: Some older people hospitalized with COVID-19 have experienced reduced ambulation capacity. However, the prevalence of the impairment of ambulation capacity still needs to be established. Objective: To estimate the prevalence of, and identify the risk factors associated with, the impairment of ambulation capacity at the point of hospital discharge for older people with COVID-19. (2) Methods: A retrospective cohort study. Included are those with an age > 60 years, of either sex, hospitalized due to COVID-19. Clinical data was collected from patients' medical records. Ambulation capacity prior to COVID-19 infection was assessed through the patients' reports from their relatives. Multiple logistic regressions were performed to identify the risk factors associated with the impairment of ambulation at hospital discharge. (3) Results: Data for 429 older people hospitalized with COVID-19 were randomly collected from the medical records. Among the 56.4% who were discharged, 57.9% had reduced ambulation capacity. Factors associated with reduced ambulation capacity at discharge were a hospital stay longer than 20 days (Odds Ratio (OR): 3.5) and dependent ambulation capacity prior to COVID-19 (Odds Ratio (OR): 11.3). (4) Conclusion: More than half of the older people who survived following hospitalization due to COVID-19 had reduced ambulation capacity at hospital discharge. Impaired ambulation prior to the infection and a longer hospital stay were risks factors for reduced ambulation capacity.

Risk Factors Associated With Post-COVID-19 Condition: A Systematic Review and Meta-analysis

Importance

Post-COVID-19 condition (PCC) is a complex heterogeneous disorder that has affected the lives of millions of people globally. Identification of potential risk factors to better understand who is at risk of developing PCC is important because it would allow for early and appropriate clinical support.

Objective

To evaluate the demographic characteristics and comorbidities that have been found to be associated with an increased risk of developing PCC.

Data sources

Medline and Embase databases were systematically searched from inception to December 5, 2022.

Study Selection

The meta-analysis included all published studies that investigated the risk factors and/or predictors of PCC in adult (≥18 years) patients.

Data Extraction and Synthesis

Odds ratios (ORs) for each risk factor were pooled from the selected studies. For each potential risk factor, the random-effects model was used to compare the risk of developing PCC between individuals with and without the risk factor. Data analyses were performed from December 5, 2022, to February 10, 2023.

Main Outcomes and Measures

The risk factors for PCC included patient age; sex; body mass index, calculated as weight in kilograms divided by height in meters squared; smoking status; comorbidities, including anxiety and/or depression, asthma, chronic kidney disease, chronic obstructive pulmonary disease, diabetes, immunosuppression, and ischemic heart disease; previous hospitalization or ICU (intensive care unit) admission with COVID-19; and previous vaccination against COVID-19.

Results

The initial search yielded 5334 records of which 255 articles underwent full-text evaluation, which identified 41 articles and a total of 860 783 patients that were included. The findings of the meta-analysis showed that female sex (OR, 1.56; 95% CI, 1.41-1.73), age (OR, 1.21; 95% CI, 1.11-1.33), high BMI (OR, 1.15; 95% CI, 1.08-1.23), and smoking (OR, 1.10; 95% CI, 1.07-1.13) were associated with an increased risk of developing PCC. In addition, the presence of comorbidities and previous hospitalization or ICU admission were found to be associated with high risk of PCC (OR, 2.48; 95% CI, 1.97-3.13 and OR, 2.37; 95% CI, 2.18-2.56, respectively). Patients who had been vaccinated against COVID-19 with 2 doses had a significantly lower risk of developing PCC compared with patients who were not vaccinated (OR, 0.57; 95% CI, 0.43-0.76).

Conclusions and Relevance

This systematic review and meta-analysis demonstrated that certain demographic characteristics (eg, age and sex), comorbidities, and severe COVID-19 were associated with an increased risk of PCC, whereas vaccination had a protective role against developing PCC sequelae. These findings may enable a better understanding of who may develop PCC and provide additional evidence for the benefits of vaccination.

Trial Registration

PROSPERO Identifier: CRD42022381002.

COVID-19, post-acute COVID-19 syndrome (PACS, "long COVID") and post-COVID-19 vaccination syndrome (PCVS, "post-COVIDvac-syndrome"): Similarities and differences

Worldwide there have been over 760 million confirmed coronavirus disease 2019 (COVID-19) cases, and over 13 billion COVID-19 vaccine doses have been administered as of April 2023, according to the World Health Organization. An infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can lead to an acute disease, i.e. COVID-19, but also to a post-acute COVID-19 syndrome (PACS, "long COVID"). Currently, the side effects of COVID-19 vaccines are increasingly being noted and studied. Here, we summarise the currently available indications and discuss our conclusions that (i) these side effects have specific similarities and differences to acute COVID-19 and PACS, that (ii) a new term should be used to refer to these side effects (post-COVID-19 vaccination syndrome, PCVS, colloquially "post-COVIDvac-syndrome"), and that (iii) there is a need to distinguish between acute COVID-19 vaccination syndrome (ACVS) and post-acute COVID-19 vaccination syndrome (PACVS) - in analogy to acute COVID-19 and PACS ("long COVID"). Moreover, we address mixed forms of disease caused by natural SARS-CoV-2 infection and COVID-19 vaccination. We explain why it is important for medical diagnosis, care and research to use the new terms (PCVS, ACVS and PACVS) in order to avoid confusion and misinterpretation of the underlying causes of disease and to enable optimal medical therapy. We do not recommend to use the term "Post-Vac-Syndrome" as it is imprecise. The article also serves to address the current problem of "medical gaslighting" in relation to PACS and PCVS by raising awareness among the medical professionals and supplying appropriate terminology for disease.

[Outpatient rehabilitative care for patients with Long-COVID - a guideline-based clinical practice guideline]

BACKGROUND

Even after weeks and months, persisting and also newly occurring symptoms after SARS-CoV-2 infection are common and lead in many cases to a broad spectrum of impairments and participation restrictions in all areas of daily life. Scientific evidence on therapeutic options still is limited. The aim of this work is therefore to provide pragmatic treatment recommendations analogous to the current therapeutic appliances guideline.

METHOD

In addition to a search in six electronic databases, the experiences from the treatment of more than hundred affected persons from the post-COVID outpatient rehabilitation service were used. Additionally, experiences with patients with similar symptoms from other diseases were included. All authors worked together to develop the pragmatic recommendations for the treatment of the main symptoms within the framework of outpatient therapy measures. A list of recommended diagnostics and functional assessments prior to therapy was also developed.

RESULTS

For the main symptoms fatigue, dyspnoea and cognitive impairment, the catalog of therapeutic products offers a wide range of therapeutic options under the diagnosis U09.9. The therapy packages should be composed individually and adapted to the patient's performance level that regularly should be (re-)assessed. Informing the patient about possible relapses and deteriorations and how to deal with them should be also part of the treatment regimen.

DISCUSSION

Physical modalities and rehabilitation interventions should be used in out-patient rehabilitation setting for the treatment of Long-COVID. In this regard, it is also important to take into account and treat serious complications after the disease, such as post-intensive care syndrome. Due to the rapid evolution of the knowledge a frequent review of scientific papers and recommendations should be conducted. High-quality intervention studies are necessary to achieve greater evidence in this field.

Post-intensive care screening: French translation and validation of the Healthy Aging Brain Care-Monitor, hybrid version

Background

The Healthy Aging Brain Care-Monitor (HABC-M) questionnaires (self-reported version and caregiver version) have been validated for post-intensive care syndrome (PICS) detection in patients surviving a stay in the intensive care unit (ICU). Their authors have also developed a hybrid version (HABC-M-HV) suited to the daily needs of their post-ICU follow-up clinic. The objectives of the present cross-sectional observational study were to translate the HABC-M-HV questionnaire into French (HABC-M-HV-F) according to international guidelines and to test its measurement properties.

Methods

The HABC-M-HV was translated according to international guidelines. The measurement performances of the questionnaire were tested using internal consistency, test–retest reliability, Standard Error of Measurement (SEM) and Smallest Detectable Change (SDC) calculation, floor and ceiling effect measurement and construct validity.

Results

The validation study included 51 ICU survivors (27.5% women, 63 [55–71] years old). The questionnaire was administered by phone. The internal consistency was very good (Cronbach’s alpha coefficient 0.79). The intra- and inter-examinator reliabilities were excellent (Intraclass Coefficient Correlation = 0.99 and 0.97, respectively). The SEM was 0.62 and the SDC was 1.72. No floor or ceiling effects were observed. The convergent validity was almost entirely confirmed with 71.4% of our hypothesis confirmed.

Conclusion

The HABC-M-HV-F has been shown to be a valid and reliable tool for PICS screening and follow-up in French-speaking ICU survivors. A remote administration by phone was feasible.

Trial registration: Not applicable.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12955-022-01967-1.