Association of social deprivation with 1-year outcome of ICU survivors: results from the FROG-ICU study

An Exploratory Analysis of Sociodemographic Factors Associated With Physical Functional Impairment in ICU Survivors

IMPORTANCE

Physical functional impairment is one of three components of postintensive care syndrome (PICS) that affects up to 60% of ICU survivors.

OBJECTIVES

To explore the prevalence of objective physical functional impairment among a diverse cohort of ICU survivors, both at discharge and longitudinally, and to highlight sociodemographic factors that might be associated with the presence of objective physical functional impairment.

DESIGN, SETTING, AND PARTICIPANTS

This was a secondary analysis of 37 patients admitted to the ICU in New Orleans, Louisiana, and Denver, Colorado between 2016 and 2019 who survived with longitudinal follow-up data.

MAIN OUTCOMES AND MEASURES

Our primary outcome of physical functional impairment was defined by handgrip strength and the short physical performance battery. We explored associations between functional impairment and sociodemographic factors that included race/ethnicity, sex, primary language, education status, and medical comorbidities.

RESULTS

More than 75% of ICU survivors were affected by physical functional impairment at discharge and longitudinally at 3- to 6-month follow-up. We did not see a significant difference in the proportion of patients with physical functional impairment by race/ethnicity, primary language, or education status. Impairment was relatively higher in the follow-up period among women, compared with men, and those with comorbidities. Among 18 patients with scores at both time points, White patients demonstrated greater change in handgrip strength than non-White patients. Four non-White patients demonstrated diminished handgrip strength between discharge and follow-up.

CONCLUSIONS AND RELEVANCE

In this exploratory analysis, we saw that the prevalence of objective physical functional impairment among ICU survivors was high and persisted after hospital discharge. Our findings suggest a possible relationship between race/ethnicity and physical functional impairment. These exploratory findings may inform future investigations to evaluate the impact of sociodemographic factors on functional recovery.

Determinants of Subjective Mental and Functional Health of Critical Illness Survivors: Comparing Pre-ICU and Post-ICU Status

OBJECTIVES

To compare ICU survivors' subjective mental and functional health before ICU admission and after discharge and to assess determinants of subjective health decline or improvement.

DESIGN

Secondary analysis of the multicenter cluster-randomized Enhanced Recovery after Intensive Care trial ( ClinicalTrials.gov : NCT03671447).

SETTING

Ten ICU clusters in Germany.

PATIENTS

Eight hundred fifty-five patients with 1478 follow-up assessments.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

At two patient follow-ups scheduled 3 and 6 months after ICU discharge, patients rated their subjective mental and functional/physical health on two separate visual analog scales from 0 (worst) to 10 (best) in the previous week and before ICU admission. We compared pre-ICU and post-ICU subjective health and used mixed-effects regression to assess determinants of a health decline or improvement. At the first follow-up, 20% ( n = 165/841) and 30% ( n = 256/849) of patients reported a decline in subjective mental and functional health of at least three points, respectively; 16% ( n = 133/841 and n = 137/849) outlined improvements of mental and functional health. For 65% ( n = 543/841) and 54% ( n = 456/849), mental and functional health did not change three points or more at the first follow-up. Multivariable mixed-effects logistic regressions revealed that the ICU length of stay was a predictor of mental (adjusted odds ratio [OR] per ICU day, 1.04; 95% CI, 1.00-1.09; p = 0.038) and functional health (adjusted OR per ICU day, 1.06; 95% CI, 1.01-1.12; p = 0.026) decline. The odds of a mental health decline decreased with age (adjusted OR per year, 0.98; 95% CI, 0.96-0.99; p = 0.003) and the odds of a functional health decline decreased with time after discharge (adjusted OR per month, 0.86; 95% CI, 0.79-0.94; p = 0.001).

CONCLUSIONS

The majority of ICU survivors did not experience substantial changes in their subjective health status, but patients with long ICU stays were prone to subjective mental and functional health decline. Hence, post-ICU care in post-ICU clinics could focus on these patients.

Association of socioeconomic deprivation with outcomes in critically ill adult patients: an observational prospective multicenter cohort study

BACKGROUND

The influence of socioeconomic deprivation on health inequalities is established, but its effect on critically ill patients remains unclear, due to inconsistent definitions in previous studies.

METHODS

Prospective multicenter cohort study conducted from March to June 2018 in eight ICUs in the Greater Paris area. All admitted patients aged ≥ 18 years were enrolled. Socioeconomic phenotypes were identified using hierarchical clustering, based on education, health insurance, income, and housing. Association of phenotypes with 180-day mortality was assessed using Cox proportional hazards models.

RESULTS

A total of 1,748 patients were included. Median age was 62.9 [47.4-74.5] years, 654 (37.4%) patients were female, and median SOFA score was 3 [1-6]. Study population was clustered in five phenotypes with increasing socioeconomic deprivation. Patients from phenotype A (n = 958/1,748, 54.8%) were without socioeconomic deprivation, patients from phenotype B (n = 273/1,748, 15.6%) had only lower education levels, phenotype C patients (n = 117/1,748, 6.7%) had a cumulative burden of 1[1-2] deprivations and all had housing deprivation, phenotype D patients had 2 [1-2] deprivations, all of them with income deprivation, and phenotype E patients (n = 93/1,748, 5.3%) included patients with 3 [2-4] deprivations and included all patients with health insurance deprivation. Patients from phenotypes D and E were younger, had fewer comorbidities, more alcohol and opiate use, and were more frequently admitted due to self-harm diagnoses. Patients from phenotype C (predominant housing deprivation), were more frequently admitted with diagnoses related to chronic respiratory diseases and received more non-invasive positive pressure ventilation. Following adjustment for age, sex, alcohol and opiate use, socioeconomic phenotypes were not associated with increased 180-day mortality: phenotype A (reference); phenotype B (hazard ratio [HR], 0.85; 95% confidence interval CI 0.65-1.12); phenotype C (HR, 0.56; 95% CI 0.34-0.93); phenotype D (HR, 1.09; 95% CI 0.78-1.51); phenotype E (HR, 1.20; 95% CI 0.73-1.96).

CONCLUSIONS

In a universal health care system, the most deprived socioeconomic phenotypes were not associated with increased 180-day mortality. The most disadvantaged populations exhibit distinct characteristics and medical conditions that may be addressed through targeted public health interventions.

Effects of education, income and employment on ICU and post-ICU survival - A nationwide Swedish cohort study of individual-level data with 1-year follow up

PURPOSE

The aim of this study was to examine relationships between education, income, and employment (socioeconomic status, SES) and intensive care unit (ICU) survival and survival 1 year after discharge from ICU (Post-ICU survival).

METHODS

Individual data from ICU patients were linked to register data of education level, disposable income, employment status, civil status, foreign background, comorbidities, and vital status. Associations between SES, ICU survival and 1-year post-ICU survival was analysed using Cox's regression.

RESULTS

We included 58,279 adults (59% men, median length of stay in ICU 4.0 days, median SAPS3 score 61). Survival rates at discharge from ICU and one year after discharge were 88% and 63%, respectively. Risk of ICU death (Hazard ratios, HR) was significantly higher in unemployed and retired compared to patients who worked prior to admission (1.20; 95% CI: 1.10-1.30 and 1.15; (1.07-1.24), respectively. There was no consistent association between education, income and ICU death. Risk of post-ICU death decreased with greater income and was roughly 16% lower in the highest compared to lowest income quintile (HR 0.84; 0.79-0.88). Higher education levels appeared to be associated with reduced risk of death during the first year after ICU discharge.

CONCLUSIONS

Significant relationships between low SES in the critically ill and increased risk of death indicate that it is important to identify and support patients with low SES to improve survival after intensive care. Studies of survival after critical illness need to account for participants SES.

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.

Clinician- and Patient-Identified Solutions to Reduce the Fragmentation of Post-ICU Care in Australia

BACKGROUND

Critical care survivors experience multiple care transitions, with no formal follow-up care pathway.

RESEARCH QUESTION

What are the potential solutions to improve the communication between treating teams and integration of care following an ICU admission, from the perspective of patients, their caregivers, intensivists, and general practitioners (GPs) from diverse socioeconomic areas?

STUDY DESIGN AND METHODS

This study included a qualitative design using semi-structured interviews with intensivists, GPs, and patients and caregivers. Framework analysis was used to analyze data and to identify solutions to improve the integration of care following hospital discharge. Patients were previously mechanically ventilated for > 24 h in the ICU and had access to a video-enabled device. Clinicians were recruited from hospital networks and a state-wide GP network.

RESULTS

Forty-six interviews with clinicians, patients, and caregivers were completed (15 intensivists, 8 GPs, 15 patients, and 8 caregivers). Three higher level feedback loops were identified that comprised 10 themes. Feedback loop 1 was an ICU and primary care collaboration. It included the following: (1) developing collaborative relationships between the ICU and primary care; (2) providing interprofessional education and resources to support primary care; and (3) improving role clarity for patient follow-up care. Feedback loop 2 was developing mechanisms for improved communication across the care continuum. It included: (4) timely, concise information-sharing with primary care on post-ICU recovery; (5) survivorship-focused information-sharing across the continuum of care; (6) empowering patients and caregivers in self-management; and (7) creation of a care coordinator role for survivors. Feedback loop 3 was learning from post-ICU outcomes to improve future care. It included: (8) developing comprehensive post-ICU care pathways; (9) enhancing support for patients following a hospital stay; and (10) integration of post-ICU outcomes within the ICU to improve clinician morale and understanding.

INTERPRETATION

Practical solutions to enhance the quality of survivorship for critical care survivors and their caregivers were identified. These themes are mapped to a novel conceptual model that includes key feedback loops for health system improvements and foci for future interventional trials to improve ICU survivorship outcomes.

Influence of socio-economic status on functional recovery after ARDS caused by SARS-CoV-2: the multicentre, observational RECOVIDS study

PURPOSE

Survivors after acute respiratory distress syndrome (ARDS) due to coronavirus disease 2019 (COVID-19) are at high risk of developing respiratory sequelae and functional impairment. The healthcare crisis caused by the pandemic hit socially disadvantaged populations. We aimed to evaluate the influence of socio-economic status on respiratory sequelae after COVID-19 ARDS.

METHODS

We carried out a prospective multicenter study in 30 French intensive care units (ICUs), where ARDS survivors were pre-enrolled if they fulfilled the Berlin ARDS criteria. For patients receiving high flow oxygen therapy, a flow ≥ 50 l/min and an FiO2 ≥ 50% were required for enrollment. Socio-economic deprivation was defined by an EPICES (Evaluation de la Précarité et des Inégalités de santé dans les Centres d'Examens de Santé - Evaluation of Deprivation and Inequalities in Health Examination Centres) score ≥ 30.17 and patients were included if they performed the 6-month evaluation. The primary outcome was respiratory sequelae 6 months after ICU discharge, defined by at least one of the following criteria: forced vital capacity < 80% of theoretical value, diffusing capacity of the lung for carbon monoxide < 80% of theoretical value, oxygen desaturation during a 6-min walk test and fibrotic-like findings on chest computed tomography.

RESULTS

Among 401 analyzable patients, 160 (40%) were socio-economically deprived and 241 (60%) non-deprived; 319 (80%) patients had respiratory sequelae 6 months after ICU discharge (81% vs 78%, deprived vs non-deprived, respectively). No significant effect of socio-economic status was identified on lung sequelae (odds ratio (OR), 1.19 [95% confidence interval (CI), 0.72-1.97]), even after adjustment for age, sex, most invasive respiratory support, obesity, most severe P/F ratio (adjusted OR, 1.02 [95% CI 0.57-1.83]).

CONCLUSIONS

In COVID-19 ARDS survivors, socio-economic status had no significant influence on respiratory sequelae 6 months after ICU discharge.

Frequency of and Risk Factors Associated With Hospital Readmission After Sepsis

OBJECTIVES

Although children who survive sepsis are at risk for readmission, identification of patient-level variables associated with readmission has been limited by administrative datasets. We determined frequency and cause of readmission within 90 days of discharge and identified patient-level variables associated with readmission using a large, electronic health record-based registry.

METHODS

This retrospective observational study included 3464 patients treated for sepsis or septic shock between January 2011 and December 2018 who survived to discharge at a single academic children's hospital. We determined frequency and cause of readmission through 90 days post-discharge and identified patient-level variables associated with readmission. Readmission was defined as inpatient treatment within 90 days post-discharge from a prior sepsis hospitalization. Outcomes were frequency of and reasons for 7-, 30-, and 90-day (primary) readmission. Patient variables were tested for independent associations with readmission using multivariable logistic regression.

RESULTS

Following index sepsis hospitalization, frequency of readmission at 7, 30, and 90 days was 7% (95% confidence interval 6%-8%), 20% (18%-21%), and 33% (31%-34%). Variables independently associated with 90-day readmission were age ≤ 1 year, chronic comorbid conditions, lower hemoglobin and higher blood urea nitrogen at sepsis recognition, and persistently low white blood cell count ≤ 2 thous/µL. These variables explained only a small proportion of overall risk (pseudo-R2 range 0.05-0.13) and had moderate predictive validity (area under the receiver operating curve range 0.67-0.72) for readmission.

CONCLUSIONS

Children who survive sepsis were frequently readmitted, most often for infections. Risk for readmission was only partly indicated by patient-level variables.

Association Between Socioeconomic Status and Outcomes in Critical Care: A Systematic Review and Meta-Analysis

OBJECTIVES

Socioeconomic status is well established as a key determinant of inequalities in health outcomes. Existing literature examining the impact of socioeconomic status on outcomes in critical care has produced inconsistent findings. Our objective was to synthesize the available evidence on the association between socioeconomic status and outcomes in critical care.

DATA SOURCES

A systematic search of CINAHL, Ovid MEDLINE, and EMBASE was undertaken on September 13, 2022.

STUDY SELECTION

Observational cohort studies of adults assessing the association between socioeconomic status and critical care outcomes including mortality, length of stay, and functional outcomes were included. Two independent reviewers assessed titles, abstracts, and full texts against eligibility and quality criteria.

DATA EXTRACTION

Details of study methodology, population, exposure measures, and outcomes were extracted.

DATA SYNTHESIS

Thirty-eight studies met eligibility criteria for systematic review. Twenty-three studies reporting mortality to less than or equal to 30 days following critical care admission, and eight reporting length of stay, were included in meta-analysis. Random-effects pooled analysis showed that lower socioeconomic status was associated with higher mortality at less than or equal to 30 days following critical care admission, with pooled odds ratio of 1.13 (95% CIs, 1.05-1.22). Meta-analysis of ICU length of stay demonstrated no significant difference between socioeconomic groups. Socioeconomic status may also be associated with functional status and discharge destination following ICU admission.

CONCLUSIONS

Lower socioeconomic status was associated with higher mortality following admission to critical care.

Subjective Ratings of Mental and Physical Health Correlate With EQ-5D-5L Index Values in Survivors of Critical Illness: A Construct Validity Study

OBJECTIVES

Survivors of critical illness commonly show impaired health-related quality of life (HrQoL). We investigated if HrQoL can be approximated by brief, easily applicable items to be used in primary care.

DESIGN

Secondary analysis of data from the multicenter, cluster-randomized controlled Enhanced Recovery after Intensive Care trial ( ClinicalTrials.gov : NCT03671447) and construct validity study.

SETTING

Ten participating clusters of ICUs in the metropolitan area of Berlin, Germany.

PATIENTS

Eight hundred fifty ICU survivors enrolled in a mixed, medical or surgical ICU when they had an expected ICU length of stay of at least 24 hours, were at least 18 years old, and had statutory health insurance coverage.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Patients received follow-ups scheduled 3 and 6 months after ICU discharge. HrQoL was assessed with the EuroQol 5-Dimension 5-Level (EQ-5D-5L), and patients were asked to rate their current mental and physical health state from 0 (worst) to 10 (best). We fitted prediction models for the EQ-5D-5L index value using these two items and additional covariates, applying stepwise regression and adaptive lasso. Subjective mental health (Spearman: 0.59) and subjective physical health (Spearman: 0.68) correlated with EQ-5D-5L index values and were better predictors of EQ-5D-5L index values in the two-item regression (normalized root mean squared error [nRMSE] 0.164; normalized mean absolute error [nMAE] 0.118; R2adj 0.43) than the EQ-5D Visual Analog Scale (nRMSE 0.175; nMAE 0.124; R2adj 0.35). Stepwise regression with additional covariates further increased prediction performance (nRMSE 0.133; nMAE 0.1; R2adj 0.51).

CONCLUSIONS

Asking patients to rate their subjective mental and physical health can be an easily applicable tool for a first impression of the HrQoL in primary care settings.

Days Spent at Home and Mortality After Critical Illness: A Cluster Analysis Using Nationwide Data

BACKGROUND

Beyond the question of short-term survival, days spent at home could be considered a patient-centered outcome in critical care trials.

RESEARCH QUESTION

What are the days spent at home and health care trajectories during the year after surviving critical illness?

STUDY DESIGN AND METHODS

Data were extracted on adult survivors spending at least 2 nights in a French ICU during 2018 who were treated with invasive mechanical ventilation or vasopressors or inotropes. Trauma, burn, organ transplant, stroke, and neurosurgical patients were excluded. Stays at home, death, and hospitalizations were reported before and after ICU stay, using state sequence analysis. An unsupervised clustering method was performed to identify cohorts based on post-ICU trajectories.

RESULTS

Of 77,132 ICU survivors, 89% returned home. In the year after discharge, these patients spent a median of 330 (interquartile range [IQR], 283-349) days at home. At 1 year, 77% of patients were still at home and 17% had died. Fifty-one percent had been re-hospitalized, and 10% required a further ICU admission. Forty-eight percent used rehabilitation facilities, and 5.7%, hospital at home. Three clusters of patients with distinct post-ICU trajectories were identified. Patients in cluster 1 (68% of total) survived and spent most of the year at home (338 [323-354] days). Patients in cluster 2 (18%) had more complex trajectories, but most could return home (91%), spending 242 (174-277) days at home. Patients in cluster 3 (14%) died, with only 37% returning home for 45 (15-90) days.

INTERPRETATION

Many patients had complex health care trajectories after surviving critical illness. Wide variations in the ability to return home after ICU discharge were observed between clusters, which represents an important patient-centered outcome.

Social determinants of recovery

PURPOSE OF REVIEW

The purpose of this review is to examine evidence describing the influence of social determinants on recovery following hospitalization with critical illness. In addition, it is meant to provide insight into the several mechanisms through which social factors influence recovery as well as illuminate approaches to addressing these factors at various levels in research, clinical care, and policy.

RECENT FINDINGS

Social determinants of health, ranging from individual factors like social support and socioeconomic status to contextual ones like neighborhood deprivation, are associated with disability, cognitive impairment, and mental health after critical illness. Furthermore, many social factors are reciprocally related to recovery wherein the consequences of critical illness such as financial toxicity and caregiver burden can put essential social needs under strain turning them into barriers to recovery.

SUMMARY

Recovery after hospitalization for critical illness may be influenced by many social factors. These factors warrant attention by clinicians, health systems, and policymakers to enhance long-term outcomes of critical illness survivors.

Modification of social determinants of health by critical illness and consequences of that modification for recovery: an international qualitative study

OBJECTIVES

Social determinants of health (SDoH) contribute to health outcomes. We identified SDoH that were modified by critical illness, and the effect of such modifications on recovery from critical illness.

DESIGN

In-depth semistructured interviews following hospital discharge. Interview transcripts were mapped against a pre-existing social policy framework: money and work; skills and education; housing, transport and neighbourhoods; and family, friends and social connections.

SETTING

14 hospital sites in the USA, UK and Australia.

PARTICIPANTS

Patients and caregivers, who had been admitted to critical care from three continents.

RESULTS

86 interviews were analysed (66 patients and 20 caregivers). SDoH, both financial and non-financial in nature, could be negatively influenced by exposure to critical illness, with a direct impact on health-related outcomes at an individual level. Financial modifications included changes to employment status due to critical illness-related disability, alongside changes to income and insurance status. Negative health impacts included the inability to access essential healthcare and an increase in mental health problems.

CONCLUSIONS

Critical illness appears to modify SDoH for survivors and their family members, potentially impacting recovery and health. Our findings suggest that increased attention to issues such as one's social network, economic security and access to healthcare is required following discharge from critical care.

Consideration of oral health in rare disease expertise centres: a retrospective study on 39 rare diseases using text mining extraction method

Background

Around 8000 rare diseases are currently defined. In the context of individual vulnerability and more specifically the one induced by rare diseases, ensuring oral health is a particularly important issue. The objective of the study is to evaluate the pattern of oral health care course for patients with any rare genetic disease. Description of oral phenotypic signs—which predict a theoretical dental health care course—and effective orientation into an oral healthcare were evaluated.

Materials and methods

We set up a retrospective cohort study to describe the consideration of patient oral health and potential orientation to an oral health care course who have at least been seen once between 1 January 2017 and 1 January 2020 in Necker Enfants Malades Hospital. We recruited patients from this study using the data warehouse, Dr Warehouse® (DrWH), from Necker-Enfants Malades Hospital.

Results

The study sample included 39 rare diseases, 2712 patients, with 54.7% girls and 45.3% boys. In the sample studied, 27.9% of patients had an acquisition delay or a pervasive developmental disorder. Among the patient files studied, oral and dental phenotypic signs were described for 18.40% of the patients, and an orientation in an oral healthcare was made in 15.60% of patients. The overall "network" effect was significantly associated with description of phenotypic signs (corrected p = 1.44e−77) and orientation to an oral healthcare (corrected p = 23.58e−44). Taking the Defiscience network (rare diseases of cerebral development and intellectual disability) as a reference for the odd ratio analysis, OSCAR, TETECOU, FILNEMUS, FIMARAD, MHEMO networks stand out from the other networks for their significantly higher consideration of oral phenotypic signs and orientation in an oral healthcare.

Conclusion

To our knowledge, no study has explored the management of oral health in so many rare diseases. The expected benefits of this study are, among others, a better understanding, and a better knowledge of the oral care, or at least of the consideration of oral care, in patients with rare diseases. Moreover, with the will to improve the knowledge on genetic diseases, oral heath must have a major place in the deep patient phenotyping. Therefore, interdisciplinary consultations with health professionals from different fields are crucial.

Quantifying the burden of the post-ICU syndrome in South Africa: A scoping review of evidence from the public health sector

BACKGROUND

The post-ICU syndrome (PICS) comprises unexpected impairments in physical, cognitive, and mental health after intensive care unit (ICU) discharge, and is associated with a diminished health-related quality of life (HRQOL). A Cochrane review recommended more research in this field from low- and middle-income countries.

OBJECTIVES

This review aims to examine the extent and nature of publications in the field of PICS in the South African (SA) public health sector. Findings of available local research are contextualised through comparison with international data.

METHODS

A comprehensive literature search strategy was employed. Inclusion criteria comprised publications enrolling adult patients following admission to SA public hospital ICUs, with the aim to study the main elements of PICS (ICU-acquired neuromuscular weakness, neurocognitive impairment, psychopathology and HRQOL).

RESULTS

Three studies investigated physical impairment, 1 study psychopathology, and 2 studies HRQOL. Recommended assessment tools were utilised. High rates of attrition were reported. Neuromuscular weakness in shorter-stay patients had recovered at 3 months. Patients who were ventilated for ≥5 days were more likely to be impaired at 6 months. The study on psychopathology reported high morbidity. The HRQOL of survivors was diminished, particularly in patients ventilated for ≥5 days.

CONCLUSION

This review found a paucity of literature evaluating PICS in the SA public health sector. The findings mirror those from international studies. Knowledge gaps pertaining to PICS in medical, surgical and HIV-positive patients in SA are evident. No publications on neurocognitive impairment or the co-occurrence of PICS elements were identified. There is considerable scope for further research in this field in SA.

CONTRIBUTIONS OF THE STUDY

This review identified the available publications investigating the post ICU syndrome (PICS) in the South African public healthcare setting. A small number of ground-breaking studies were found. Knowledge gaps in this field were identified.

Identifying clinical subtypes in sepsis-survivors with different one-year outcomes: a secondary latent class analysis of the FROG-ICU cohort

BACKGROUND

Late mortality risk in sepsis-survivors persists for years with high readmission rates and low quality of life. The present study seeks to link the clinical sepsis-survivors heterogeneity with distinct biological profiles at ICU discharge and late adverse events using an unsupervised analysis.

METHODS

In the original FROG-ICU prospective, observational, multicenter study, intensive care unit (ICU) patients with sepsis on admission (Sepsis-3) were identified (N = 655). Among them, 467 were discharged alive from the ICU and included in the current study. Latent class analysis was applied to identify distinct sepsis-survivors clinical classes using readily available data at ICU discharge. The primary endpoint was one-year mortality after ICU discharge.

RESULTS

At ICU discharge, two distinct subtypes were identified (A and B) using 15 readily available clinical and biological variables. Patients assigned to subtype B (48% of the studied population) had more impaired cardiovascular and kidney functions, hematological disorders and inflammation at ICU discharge than subtype A. Sepsis-survivors in subtype B had significantly higher one-year mortality compared to subtype A (respectively, 34% vs 16%, p < 0.001). When adjusted for standard long-term risk factors (e.g., age, comorbidities, severity of illness, renal function and duration of ICU stay), subtype B was independently associated with increased one-year mortality (adjusted hazard ratio (HR) = 1.74 (95% CI 1.16-2.60); p = 0.006).

CONCLUSIONS

A subtype with sustained organ failure and inflammation at ICU discharge can be identified from routine clinical and laboratory data and is independently associated with poor long-term outcome in sepsis-survivors. Trial registration NCT01367093; https://clinicaltrials.gov/ct2/show/NCT01367093 .

Association of Socioeconomic Status With Postdischarge Pediatric Resource Use and Quality of Life

OBJECTIVES

Socioeconomic factors may impact healthcare resource use and health-related quality of life, but their association with postcritical illness outcomes is unknown. This study examines the associations between socioeconomic status, resource use, and health-related quality of life in a cohort of children recovering from acute respiratory failure.

DESIGN

Secondary analysis of data from the Randomized Evaluation of Sedation Titration for Respiratory Failure clinical trial.

SETTING

Thirty-one PICUs.

PATIENTS

Children with acute respiratory failure enrolled whose parent/guardians consented for follow-up.

MEASUREMENTS AND MAIN RESULTS

Resource use included in-home care, number of healthcare providers, prescribed medications, home medical equipment, emergency department visits, and hospital readmission. Socioeconomic status was estimated by matching residential address to census tract-based median income. Health-related quality of life was measured using age-based parent-report instruments. Resource use interviews with matched census tract data (n = 958) and health-related quality of life questionnaires (n = 750/958) were assessed. Compared with high-income children, low-income children received care from fewer types of healthcare providers (β = -0.4; p = 0.004), used less newly prescribed medical equipment (odds ratio = 0.4; p < 0.001), and had more emergency department visits (43% vs 33%; p = 0.04). In the youngest cohort (< 2 yr old), low-income children had lower quality of life scores from physical ability (-8.6 points; p = 0.01) and bodily pain/discomfort (+8.2 points; p < 0.05). In addition, health-related quality of life was lower in those who had more healthcare providers and prescribed medications. In older children, health-related quality of life was lower if they had prescribed medications, emergency department visits, or hospital readmission.

CONCLUSIONS

Children recovering from acute respiratory failure have ongoing healthcare resource use. Yet, lower income children use less in-home and outpatient services and use more hospital resources. Continued follow-up care, especially in lower income children, may help identify those in need of ongoing healthcare resources and those at-risk for decreased health-related quality of life.

Social Determinants of Health and Delirium Occurrence and Duration in Critically Ill Adults

Social determinants of health may affect ICU outcome, but the association between social determinants of health and delirium remains unclear. We evaluated the association between three social determinants of health and delirium occurrence and duration in critically ill adults.

Functional disability and post-traumatic stress disorder in survivors of mechanical ventilation: a cross-sectional study in Guangzhou, China

Background

Critical illness is associated with cognitive, physical, and psychological impairments; however, evidence of the severity and frequency of impairments in Chinese survivors of mechanical ventilation in an intensive care unit (ICU) remains limited. Our aim was to investigate the incidence and severity of impairments in Chinese survivors of mechanical ventilation in ICU and to explore risk factors influencing specific impairments.

Methods

Patients discharged alive after mechanical ventilation in a large general ICU for ≥2 days were enrolled in this single-center cross-sectional study. Survivors were evaluated using measures of functional disability (Activity of Daily Living Scale), and post-traumatic stress disorder (PTSD, The Impact of Event Scale-Revised) via telephone interview. Multivariable analysis was conducted.

Results

Data were obtained from 130 consenting survivors. At follow-up (mean: 19.64 months), among those in part-time or full-time employment prior to admission, only 45.1% had returned to work. Further, 29.2% of survivors had clear disabilities affecting daily living. Deficits in activities of daily living (ADL) were mainly characterized by impairment of instrumental ADL. Predictors of ADL in mechanically ventilated survivors included age, ICU admission diagnosis, and Acute Physiology And Chronic Health Evaluation II (APACHE II) score, which accounted for 33.5% of total variance. Furthermore, 17.7% of participants had symptoms consistent with PTSD. ICU length of stay was the only predictor of PTSD, and accounted for 7.5% of total variance.

Conclusions

ICU survivors of mechanical ventilation in China face negative impacts on employment, and commonly have ADL impairment and PTSD. Age, ICU admission diagnosis, and APACHE II score were key factors influencing ADL, while ICU length of stay was the only factor affecting PTSD. These findings suggest that some survivors who have had certain exposures may warrant closer follow-up, and systematic interventions for these high-risk survivors should be developed in China.

Prevalence of post-intensive care syndrome among Japanese intensive care unit patients: a prospective, multicenter, observational J-PICS study

Background

Many studies have compared quality of life of post-intensive care syndrome (PICS) patients with age-matched population-based controls. Many studies on PICS used the 36-item Short Form (SF-36) health survey questionnaire version 2, but lack the data for SF-36 values before and after intensive care unit (ICU) admission. Thus, clinically important changes in the parameters of SF-36 are unknown. Therefore, we determined the frequency of co-occurrence of PICS impairments at 6 months after ICU admission. We also evaluated the changes in SF-36 subscales and interpreted the patients’ subjective significance of impairment.

Methods

A prospective, multicenter, observational cohort study was conducted in 16 ICUs across 14 hospitals in Japan. Adult ICU patients expected to receive mechanical ventilation for > 48 h were enrolled, and their 6-month outcome was assessed using the questionnaires. PICS definition was based on the physical status, indicated by the change in SF-36 physical component score (PCS) ≥ 10 points; mental status, indicated by the change in SF-36 mental component score (MCS) ≥ 10 points; and cognitive function, indicated by the worsening of Short-Memory Questionnaire (SMQ) score and SMQ score at 6 months < 40. Multivariate logistic regression model was used to identify the factors associated with PICS occurrence. The patients’ subjective significance of physical and mental symptoms was assessed using the 7-scale Global Assessment Rating to evaluate minimal clinically important difference (MCID).

Results

Among 192 patients, 48 (25%) died at 6 months. Among the survivors at 6 months, 96 patients responded to the questionnaire; ≥ 1 PICS impairment occurred in 61 (63.5%) patients, and ≥ 2 occurred in 17 (17.8%) patients. Physical, mental, and cognitive impairments occurred in 32.3%, 14.6% and 37.5% patients, respectively. Population with only mandatory education was associated with PICS occurrence (odds ratio: 4.0, 95% CI 1.1–18.8, P = 0.029). The MCID of PCS and MCS scores was 6.5 and 8.0, respectively.

Conclusions

Among the survivors who received mechanical ventilation, 64% had PICS at 6 months; co-occurrence of PICS impairments occurred in 20%. PICS was associated with population with only mandatory education. Future studies elucidating the MCID of SF-36 scores among ICU patients and standardizing the PICS definition are required.

Trial registration UMIN000034072.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13054-021-03501-z.

Sex-specific outcomes and management in critically ill septic patients

BACKGROUND

Female and male critically ill septic patients might differ with regards to risk distribution, management, and outcomes. We aimed to compare male versus female septic patients in a large collective with regards to baseline risk distribution and outcomes.

METHODS

In total, 17,146 patients were included in this analysis, 8781 (51%) male and 8365 (49%) female patients. The primary endpoint was ICU-mortality. Baseline characteristics and data on organ support were documented. Multilevel logistic regression analyses were used to assess sex-specific differences.

RESULTS

Female patients had lower SOFA scores (5 ± 5 vs. 6 ± 6; p<0.001) and creatinine (1.20±1.35 vs. 1.40±1.54; p<0.001). In the total cohort, the ICU mortality was 10% and similar between female and male (10% vs. 10%; p = 0.34) patients. The ICU remained similar between sexes after adjustment in model-1 (aOR 1.05 95% CI 0.95-1.16; p = 0.34); model-2 (aOR 0.91 95% CI 0.79-1.05; p = 0.18) and model-3 (aOR 0.93 95% CI 0.80-1.07; p = 0.29). In sensitivity analyses, no major sex-specific differences in mortality could be detected.

CONCLUSION

In this study no clinically relevant sex-specific mortality differences could be detected in critically ill septic patients. Possible subtle gender differences could play a minor role in the acute situation due to the severity of the disease in septic patients.

Sex-specific outcome disparities in very old patients admitted to intensive care medicine: a propensity matched analysis

Female and male very elderly intensive patients (VIPs) might differ in characteristics and outcomes. We aimed to compare female versus male VIPs in a large, multinational collective of VIPs with regards to outcome and predictors of mortality. In total, 7555 patients were included in this analysis, 3973 (53%) male and 3582 (47%) female patients. The primary endpoint was 30-day-mortality. Baseline characteristics, data on management and geriatric scores including frailty assessed by Clinical Frailty Scale (CFS) were documented. Two propensity scores (for being male) were obtained for consecutive matching, score 1 for baseline characteristics and score 2 for baseline characteristics and ICU management. Male VIPs were younger (83 ± 5 vs. 84 ± 5; p < 0.001), less often frail (CFS > 4; 38% versus 49%; p < 0.001) but evidenced higher SOFA (7 ± 6 versus 6 ± 6 points; p < 0.001) scores. After propensity score matching, no differences in baseline characteristics could be observed. In the paired analysis, the mortality in male VIPs was higher (mean difference 3.34% 95%CI 0.92–5.76%; p = 0.007) compared to females. In both multivariable logistic regression models correcting for propensity score 1 (aOR 1.15 95%CI 1.03–1.27; p = 0.007) and propensity score 2 (aOR 1.15 95%CI 1.04–1.27; p = 0.007) male sex was independently associated with higher odds for 30-day-mortality. Of note, male gender was not associated with ICU mortality (OR 1.08 95%CI 0.98–1.19; p = 0.14). Outcomes of elderly intensive care patients evidenced independent sex differences. Male sex was associated with adverse 30-day-mortality but not ICU-mortality. Further research to identify potential sex-specific risk factors after ICU discharge is warranted.

Trial registration: NCT03134807 and NCT03370692; Registered on May 1, 2017 https://clinicaltrials.gov/ct2/show/NCT03370692.

Epidemiology of the First Wave of COVID-19 ICU Admissions in South Wales-The Interplay Between Ethnicity and Deprivation

On the 9th March 2020, the first patient with COVID-19 was admitted to ICU in the Royal Gwent Hospital (RGH), Newport, Wales. We prospectively recorded the rate of ICU admissions of 52 patients with COVID-19 over 60 days, focusing on the epidemiology of ethnicity and deprivation because these factors have emerged as significant risk factors. Patients were 65% (34 of 52) male and had a median (IQR) age of 55 (48–62) years. Prevalent comorbidities included obesity (52%); diabetes (33%), and asthma (23%). COVID-19 hospital and ICU inpatient numbers peaked on days 23 and 39, respectively—a lag of 16 days. The ICU mortality rate was 33% (17 of 52). People of black, Asian, and minority ethnic descent (BAME group) represented 35% of ICU COVID-19 admissions (18 of 52) and 35% of deaths (6 of 17). Amongst the BAME group, 72% (13 of 18) of patients were found to reside in geographical areas representing the 20% most deprived in Wales, vs. 27% of patients in the Caucasian group (9 of 33). Less than 5% of the population within the area covered by RGH are of BAME descent, yet this group had a disproportionately high ICU admission and mortality rate from COVID-19. The interplay between ethnicity and deprivation, which is complex, may be a factor in our findings. This in turn could be related to an increased prevalence of co-morbidities; higher community exposure; larger proportion of lower band key worker roles; or genetic polymorphisms.

Influence of deprivation on initial severity and prognosis of patients admitted to the ICU: the prospective, multicentre, observational IVOIRE cohort study

Background

The influence of socioeconomic status on patient outcomes is unclear. We assessed the impact of socioeconomic deprivation on severity of illness at intensive care unit (ICU) admission, and on the risk of death at 3 months after ICU admission.

Methods

The IVOIRE study was a prospective, observational, multicentre cohort study in the ICU of 8 participating hospitals in France, including patients aged ≥ 18 years admitted to the ICU and receiving at least one life support therapy for organ failure. The primary outcomes were severity at admission (assessed by SAPSII score), and mortality at 3 months. Socioeconomic data were obtained from interviews with patients or family. Deprivation was assessed using the EPICES score.

Results

Among 1294 patents included between 2013 and 2016, 629 (48.6%) were classed as deprived and differed significantly from non-deprived subjects in terms of sociodemographic characteristics and pre-existing conditions. The mean SAPS II score at admission was 50.1 ± 19.4 in deprived patients and 52.3 ± 17.3 in non-deprived patients, with no significant difference by multivariable analysis (β = − 1.85 [95% CI − 3.86; + 0.16, p = 0.072]). The proportion of death was 31.1% at 3 months, without significant differences between deprived and non-deprived patients, even after adjustment for confounders.

Conclusions

Deprivation is frequent in patients admitted to the ICU and is not associated with disease severity at admission, or with mortality at 3 months between deprived and non-deprived patients.

Trial registration The IVOIRE cohort is registered with ClinicalTrials.gov under the identifier NCT01907581, registration date 17/7/2013

Difficulty envisioning a positive future: Secondary analyses in patients in intensive care who are communication vulnerable

The purpose of this study was to report a secondary analysis of data collected through a primary study. The primary study was a, randomized, control trial that used a team-designed (nursing, speech language hearing, engineering, communication sciences, and biostatistics), nurse-led, electronic communication intervention (Speak for Myself Voice) and measured patient outcomes of symptoms of anxiety and depression in five intensive care units at a regional, magnet-status, academic medical center. A secondary analysis of data using the Hospital Anxiety and Depression scale is reported here. The extant literature supports patient expressions of frustration, anger, anxiety, and depression when unable to communicate. This secondary analysis study report adds information about Hospital Anxiety and Depression subscales in the communication-vulnerable population. Implications include emerging awareness of potential feelings of depression and anxiety in patients who are receiving mechanical ventilation or who are unable to verbally communicate for any reason (e.g. obstruction, trauma, head and neck cancer) in the intensive care unit.

Gender and survival of critically ill patients: results from the FROG-ICU study

Purpose

Few studies analyzed gender-related outcome differences of critically ill patients and found inconsistent results. This study aimed to test the independent association of gender and long-term survival of ICU patients.

Materials and methods

FROG-ICU was a prospective, observational, multi-center cohort designed to investigate the long-term mortality of critically ill adult patients. The primary endpoint of this study was 1-year mortality after ICU admission of women compared to men.

Results

The study included 2087 patients, 726 women and 1361 men. Women and men had similar baseline characteristics, clinical presentation, and disease severity. No significant difference in 1-year mortality was found between women and men (34.9% vs. 37.9%, P = 0.18). After multivariable adjustment, no difference in the hazard of death was observed [HR 0.99 (95% CI 0.77–1.28)]. Similar 1-year survival between women and men was found in a propensity score-matched patient cohort of 506 patients [HR 0.79 (95% CI 0.54–1.14)].

Conclusion

Women constituted one-third of the population of critically ill patients and were unexpectedly similar to men regarding demographic characteristics, clinical presentation, and disease severity and had similar risk of death at 1 year after ICU admission.

Trial registration ClinicalTrials.gov NCT01367093; registered on June 6, 2011.

Electronic supplementary material

The online version of this article (10.1186/s13613-019-0514-y) contains supplementary material, which is available to authorized users.