Early prediction of new-onset physical disability after intensive care unit stay: a preliminary instrument

Potential risk factors for reduced quality of life and increased health care utilization in ARDS survivors: results from the multicenter cohort study DACAPO

AIM

To analyze the association of individual pre-ICU risk factors (obesity, physical and mental comorbidity, smoking status) on the long-term recovery process in survivors of the acute respiratory distress syndrome (ARDS; outcomes: health related quality of life, health care utilization; measured at 12, 24, and 36 months after ICU discharge).

FINDINGS

Results show a possible causal link between pre-ICU risk factors and subsequent recovery of survivors of ARDS, especially with regard to mental health related quality of life.

PURPOSE

Identifying relevant pre-existing risk factors, such as mental health problems, will enable the identification of at-risk patients, thus aiding in the improvement of long-term healthcare for survivors of critical illness.

Development and validation of early prediction models for new-onset functional impairment in patients after being transferred from the ICU

A significant number of intensive care unit (ICU) survivors experience new-onset functional impairments that impede their activities of daily living (ADL). Currently, no effective assessment tools are available to identify these high-risk patients. This study aims to develop an interpretable machine learning (ML) model for predicting the onset of functional impairment in critically ill patients. Data for this study were sourced from a comprehensive hospital in China, focusing on adult patients admitted to the ICU from August 2022 to August 2023 without prior functional impairments. A least absolute shrinkage and selection operator (LASSO) model was utilized to select predictors for inclusion in the model. Four models, logistic regression, support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost), were constructed and validated. Model performance was assessed using the area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). Additionally, the DALEX package was employed to enhance the interpretability of the final models. The study ultimately included 1,380 patients, with 684 (49.6%) exhibiting new-onset functional impairment on the seventh day after leaving the ICU. Among the four models evaluated, the SVM model demonstrated the best performance, with an AUC of 0.909, accuracy of 0.838, sensitivity of 0.902, specificity of 0.772, PPV of 0.802, and NPV of 0.886. ML models are reliable tools for predicting new-onset functional impairments in critically ill patients. Notably, the SVM model emerged as the most effective, enabling early identification of patients at high risk and facilitating the implementation of timely interventions to improve ADL.

Prediction of Long-Term Physical, Mental, and Cognitive Problems Following Critical Illness: Development and External Validation of the PROSPECT Prediction Model

OBJECTIVES

ICU survivors often suffer from long-lasting physical, mental, and cognitive health problems after hospital discharge. As several interventions that treat or prevent these problems already start during ICU stay, patients at high risk should be identified early. This study aimed to develop a model for early prediction of post-ICU health problems within 48 hours after ICU admission.

DESIGN

Prospective cohort study in seven Dutch ICUs.

SETTING/PATIENTS

ICU patients older than 16 years and admitted for greater than or equal to 12 hours between July 2016 and March 2020.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Outcomes were physical problems (fatigue or ≥ 3 new physical symptoms), mental problems (anxiety, depression, or post-traumatic stress disorder), and cognitive impairment. Patient record data and questionnaire data were collected at ICU admission, and after 3 and 12 months, of 2,476 patients. Several models predicting physical, mental, or cognitive problems and a composite score at 3 and 12 months were developed using variables collected within 48 hours after ICU admission. Based on performance and clinical feasibility, a model, PROSPECT, predicting post-ICU health problems at 3 months was chosen, including the predictors of chronic obstructive pulmonary disease, admission type, expected length of ICU stay greater than or equal to 2 days, and preadmission anxiety and fatigue. Internal validation using bootstrapping on data of the largest hospital ( n = 1,244) yielded a C -statistic of 0.73 (95% CI, 0.70-0.76). External validation was performed on data ( n = 864) from the other six hospitals with a C -statistic of 0.77 (95% CI, 0.73-0.80).

CONCLUSIONS

The developed and externally validated PROSPECT model can be used within 48 hours after ICU admission for identifying patients with an increased risk of post-ICU problems 3 months after ICU admission. Timely preventive interventions starting during ICU admission and follow-up care can prevent or mitigate post-ICU problems in these high-risk patients.

Activity of Daily Living and Walking Ability of Patients with Severe COVID-19 at Discharge from an Acute Care Hospital

Objectives

The effectiveness of acute rehabilitation treatment for severe coronavirus disease 2019 (COVID-19) has not yet been established. This study examined the efficacy of treatment provided to patients with severe COVID-19 in an acute care facility.

Methods

A total of 98 patients with severe COVID-19 requiring inpatient management in our intensive care unit (ICU) were included between December 2020 and October 2021. They were divided into two groups: those who received physiotherapy (PT group; n=44) and those who did not receive physiotherapy (non-PT group; n=54). Their backgrounds, clinical characteristics, and activities of daily life (ADL) at discharge were compared to examine factors that influenced the need for physiotherapy (PT). We also evaluated the effect of PT on ADL by comparing the Barthel Index (BI) before PT and at discharge.

Results

The PT group patients were significantly older, had longer hospital and ICU stays, and used invasive mechanical ventilators (IMV) more frequently than those in the non-PT group. More patients in the non-PT group were able to walk at discharge than in the PT group. The PT group patients showed significant improvement in BI and ADL at discharge when compared with BI at the start of PT, regardless of whether an IMV was used.

Conclusions

Older patients with severe COVID-19 with prolonged hospitalization or ICU stay or on an IMV are prone to a decline in ADL and may need to be considered for early PT.

Screening tools for post-intensive care syndrome and post-traumatic symptoms in intensive care unit survivors: A scoping review

BACKGROUND

Evidence suggests that intensive care unit (ICU) survivors often suffer long-term complications such as post-intensive care syndrome (PICS) and post-traumatic stress disorder (PTSD) from critical illness and ICU stay. PICS and PTSD affect both ICU survivors and their families, which overburdens the healthcare systems. Lack of evidence on the comparative psychometric properties of assessment tools is a major barrier in evidence-based screening for post-ICU symptomatology and health-related quality of life.

OBJECTIVES

We aimed to identify existing tools for screening PTSD and PICS in ICU survivors and their families and to examine evidence on the validity, reliability, sensitivity, and specificity of existing tools, as reflected in published peer-reviewed studies.

METHOD

A scoping review based on literature searches (CINAHL, MEDLINE, EMBASE, PsycINFO, Scopus, Health and Psychosocial Instruments, Dissertations and Theses Global, and Google Scholar) and predefined eligibility criteria was conducted according to current scoping review guidelines.

FINDINGS

We identified 44 studies reporting on the development and assessment of psychometric properties of PICS/PTSD in ICU survivors or families globally. We identified five tools addressing all three aspects of PICS manifestations, one tool for both physical and mental aspects of PICS, and fivefive tools for quality-of-life assessment in ICU survivors. Altogether, 25 tools assess only one aspect of PICS: five for cognitive impairment, seven for physical impairment, and 13 for mental health impairment and PTSD in ICU survivors. However, only two tools were found for PICS-family assessment. Other findings include (i) unclear validity and often limited feasibility of tools, (ii) low diagnostic accuracy of cognitive assessment tools, and (iii) evidence of appropriate psychometric properties and feasibility of psychological health assessment tools.

CONCLUSION

These results have implications for the selection and implementation of the assessment methods as a means for promoting meaningful patient-centred clinical outcomes to minimise long-term sequelae, reduce the rate of rehospitalisation, and optimise recovery after ICU discharge.

Incidence and risk factors for postintensive care syndrome in a cohort of critically ill patients

OBJECTIVE

To determine the incidence of postintensive care syndrome in a cohort of critically ill patients admitted to the intensive care unit and to identify risk factors related to its development in the physical, cognitive and mental health areas.

METHODS

This was a prospective observational cohort study developed in the intensive care unit of a university hospital. Patients with intensive care unit stays equal to or longer than one week and the need for mechanical ventilation for more than 3 days, shock or delirium were included in the study. Demographic variables, reasons for admission, diagnoses, sedation, type of mechanical ventilation used, complications and length of stay were recorded. A univariate analysis was performed to identify risk factors related to postintensive care syndrome. The scales used for the assessment of the different spheres were Barthel, Pfeiffer, Hospital Anxiety and Depression Scale and Impact of Event Scale-6. The main variables of interest were postintensive care syndrome incidence overall and by domains. Risk factors were examined in each of the health domains (physical, cognitive and mental health).

RESULTS

Eighty-seven patients were included. The mean Acute Physiology and Chronic Health Evaluation II score was 16.5. The mean number of intensive care unit days was 17. The incidence of global postintensive care syndrome was 56.3% (n = 49, 95%CI 45.8 - 66.2%). The incidence of postintensive care syndrome in each of the spheres was 32.1% (physical), 11.5% (cognitive), and 36.6% (mental health).

CONCLUSIONS

The incidence of postintensive care syndrome is 56.3%. The mental health sphere is the most frequently involved. The risk factors are different depending on the area considered.

Long-term Survival after Critical Illness: Are We There Yet?

How to cite this article: Prabu RN. Long-term Survival after Critical Illness: Are We There Yet? Indian J Crit Care Med 2022;26(10):1065-1066.

A Modified Physical Disability Screening Model after Treatment in the Intensive Care Unit: A Nationwide Derivation-Validation Study

Background: Many of the survivors of critical illnesses in the intensive care unit (ICU) suffer from physical disability for months after the treatment in the ICU. Identifying patients who are susceptible to disability is essential. The purpose of the study was to modify a model for early in-ICU prediction of the patient’s risk for physical disability two months after the treatment in the ICU. Methods: A prospective multicenter derivation–validation study was conducted from 1 July 2015, to 31 August 2016. We modified a model consisting of three risk factors in the derivation group and tested the modified model in the validation group. They were asked for their physical abilities before being admitted, two months after discharge from the ICU by a binary ADL staircases questionnaire. The univariate and multivariate logistic regression was used to modify physical disability components in the derivation data set. Receiver operating characteristic curves were used to determine the sensitivity and specificity of the threshold values in the validation group. Results: Five-hundred nineteen survivors were enrolled in the derivation group, and 271 in the validation. In multivariable analysis, the odds ratio (OR) of physical disability significantly increased with educational level ≤ elementary school (OR: 36.96, 95%CI: 18.14–75.29), inability to sit without support (OR: 15.16, 95%CI: 7.98–28.80), and having a fracture (OR: 12.74, 95%CI: 4.47–36.30). The multivariable validation model indicated that education level, inability to sit without support, and having a fracture simultaneously had sensitivity 71.3%, specificity 88.2%, LR+ 6.0, LR− 0.33, PPV 90.9, and NPV 64.9 to predict physical disability. Applying the coefficients derived from the multivariable logistic regression fitted on the derivation dataset in the validation dataset and computing diagnostic index sensitivity 100%, specificity 60.5%, LR+ 2.5, LR− 0.003, PPV 80.8, and NPV 100. The modified model had an excellent prediction ability for physical disability (AUC ± SE = 0.881 ± 0.016). Conclusions: Low education level, inability to sit without support, and having a fracture in a modified model were associated with the development of physical disability after discharge from ICU. Therefore, these clinical variables should be considered when organizing follow-up care for ICU survivors.

Development and validation of early prediction models for new-onset functional impairment at hospital discharge of ICU admission

PURPOSE

We aimed to develop and validate models for predicting new-onset functional impairment after intensive care unit (ICU) admission with predictors routinely collected within 2 days of admission.

METHODS

In this multi-center retrospective cohort study of acute care hospitals in Japan, we identified adult patients who were admitted to the ICU with independent activities of daily living before hospitalization and survived for at least 2 days from April 2014 to October 2020. The primary outcome was functional impairment defined as Barthel Index ≤ 60 at hospital discharge. In the internal validation dataset (April 2014 to March 2019), using routinely collected 94 candidate predictors within 2 days of ICU admission, we trained and tuned the six conventional and machine-learning models with repeated random sub-sampling cross-validation. We computed the variable importance of each predictor to the models. In the temporal validation dataset (April 2019 to October 2020), we measured the performance of these models.

RESULTS

We identified 19,846 eligible patients. Functional impairment at discharge was developed in 33% of patients (n = 6488/19,846). In the temporal validation dataset, all six models showed good discrimination ability with areas under the curve above 0.86, and the differences among the six models were negligible. Variable importance revealed newly detected early predictors, including worsened neurologic conditions and catabolism biomarkers such as decreased serum albumin and increased blood urea nitrogen.

CONCLUSION

We successfully developed early prediction models of new-onset functional impairment after ICU admission that achieved high performance using only data routinely collected within 2 days of ICU admission.

Acute kidney injury contributes to worse physical and quality of life outcomes in survivors of critical illness

Objectives

Survivors of critical illness and acute kidney injury (AKI) are at risk of increased morbidity. The purpose of this study was to compare physical, emotional, and cognitive health in survivors of critical illness with and without AKI.

Methods

Retrospective cohort study of adult (≥ 18 years old) survivors of critical illness due to sepsis and/or acute respiratory failure who attended follow-up in a specialized ICU Recovery Clinic. Outcomes were evaluated during 3-month visit and comprised validated tests for evaluation of physical function, muscle strength, cognitive and emotional health, and self-reported health-related quality of life (HRQOL). Descriptive statistics and group comparisons were performed.

Results

A total of 104 patients with median age of 55 [49-64] years, 54% male, and median SOFA score of 10 [8-12] were analyzed. Incidence of AKI during ICU admission was 61 and 19.2% of patients required renal replacement therapy (RRT). Patients with AKI stage 2 or 3 (vs. those with AKI stage 1 or no AKI) walked less on the 6-min walk test (223 ± 132 vs. 295 ± 153 m, p = 0.059) and achieved lower of the predicted walk distance (38% vs. 58%, p = 0.041). Similar patterns of worse physical function and more significant muscle weakness were observed in multiple tests, with overall worse metrics in patients that required RRT. Patients with AKI stage 2 or 3 also reported lower HRQOL scores when compared to their counterparts, including less ability to return to work or hobby, or reengage in driving. There were no significant differences in cognitive function or emotional health between groups.

Conclusions

Survivors of critical illness and AKI stage 2 or 3 have increased physical debility and overall lower quality of life, with more impairment in return to work, hobby, and driving when compared to their counterparts without AKI or AKI stage 1 at 3 months post-discharge.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12882-022-02749-z.

Understanding Patients' Perceived Health After Critical Illness: Analysis of Two Prospective, Longitudinal Studies of ARDS Survivors

BACKGROUND

Perceived health is one of the strongest determinants of subjective well-being, but it has received little attention among survivors of ARDS.

RESEARCH QUESTION

How well do self-reported measures of physical, emotional, and social functioning predict perceived overall health (measured using the EQ-5D visual analog scale [EQ-5D-VAS]) among adult survivors of ARDS? Are demographic features, comorbidity, or severity of illness correlated with perceived health after controlling for self-reported functioning?

STUDY DESIGN AND METHODS

We analyzed the ARDSNet Long Term Outcomes Study (ALTOS) and Improving Care of Acute Lung Injury Patients (ICAP) Study, two longitudinal cohorts with a total of 823 survivors from 44 US hospitals, which prospectively assessed survivors at 6 and 12 months after ARDS. Perceived health, evaluated using the EQ-5D-VAS, was predicted using ridge regression and self-reported measures of physical, emotional, and social functioning. The difference between observed and predicted perceived health was termed perspective deviation (PD). Correlations between PD and demographics, comorbidities, and severity of illness were explored.

RESULTS

The correlation between observed and predicted EQ-5D-VAS scores ranged from 0.68 to 0.73 across the two cohorts and time points. PD ranged from -80 to +34 and was more than the minimum clinically important difference for 52% to 55% of survivors. Neither demographic features, comorbidity, nor severity of illness were correlated strongly with PD, with |r| < 0.25 for all continuous variables in both cohorts and time points. The correlation between PD at 6- and 12-month assessments was weak (ALTOS: r = 0.22, P < .001; ICAP: r = 0.20, P = .02).

INTERPRETATION

About half of survivors of ARDS showed clinically important differences in actual perceived health vs predicted perceived health based on self-reported measures of functioning. Survivors of ARDS demographic features, comorbidities, and severity of illness were correlated only weakly with perceived health after controlling for measures of perceived functioning, highlighting the challenge of predicting how individual patients will respond psychologically to new impairments after critical illness.

Association between out-of-bed mobilization during the ICU stay of elderly patients and long-term autonomy: A cohort study

PURPOSE

Our objective was to estimate the impact of the absence of Out-of-Bed (OoB) mobilization during intensive care unit (ICU) stay among patients ≥70 years on their long-term autonomy.

METHODS

We conducted an ancillary study of the multicenter FRAGIREA study, including patients aged over 70 years, admitted to ICU for more than 48 h. We excluded the patients who died before day 180, who were lost to follow-up, and for whom the baseline autonomy (ADL) score was not available. Patients were classified into the OoB or non-OoB-mobilization group, and the impact of OoB mobilization on the decreased 6-month autonomy was estimated.

RESULTS

Among the 548 patients of the FRAGIREA cohort, 276 were included in the present study. Among them, 226 had OoB mobilization and 50 did not. 220/276 (80%) patients experienced the transfer to chair as rehabilitation therapy, passive mobilization and transfer to upright sitting were also frequently performed. A decrease in the 6-month autonomy was observed for 63 (23%) patients. After the elimination of potential confounders, non-OoB-mobilization patients had a greater risk of 6-month decreased autonomy (aOR 2.43 [1.18; 4.98]).

CONCLUSIONS

Mobilization during the ICU stay of elderly ICU patient survivors was associated with a lower decreased autonomy at 6 months.

Lean mass as a risk factor for intensive care unit admission: an observational study

Purpose

Intensive care unit (ICU) survivors have reduced physical function likely due to skeletal muscle wasting and weakness acquired during critical illness. However, the contribution of pre-morbid muscle mass has not been elucidated. We aimed to examine the association between pre-ICU muscle mass and ICU admission risk. Secondary outcomes include the relationship between muscle mass and ICU outcomes.

Methods

ICU admissions between June 1, 1998, and February 1, 2019, were identified among participants of Geelong Osteoporosis Study (GOS), a population-based cohort study. Cox proportional hazard regression models estimated hazard ratios (HR) for ICU admission across T-score strata and continuous values of DXA-derived lean mass measures of skeletal mass index (SMI, lean mass/body mass %) and appendicular lean mass corrected for height (ALM/h², kg/m²). Multivariable regression was used to determine the relationship between lean mass and ICU outcomes.

Results

One hundred and eighty-six of 3126 participants enrolled in GOS were admitted to the ICU during the follow-up period. In adjusted models, lean mass was not predictive of ICU admission (SMI: HR 0.99 95%CI 0.97–1.01, p = 0.32; ALM/h²: HR 1.11 95%CI 0.94–1.31, p = 0.23), while greater appendicular lean mass was related to reduced 28-day mortality (ALM/h² adjOR: 0.25, 95%CI 0.10–0.63, p = 0.003, SMI adjOR: 0.91, 95%CI 0.82–1.02, p = 0.09).

Conclusion

Lean mass was not associated with ICU admission in this population-based cohort study; however, greater appendicular lean mass was associated with reduced mortality. This suggests pre-ICU muscle status may not predict development of critical illness but is associated with better survival after critical illness occurs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13054-021-03788-y.

The core of patient-participation in the Intensive Care Unit: The patient's views

OBJECTIVES

Patient participation is an established concept in public welfare. However, reports of the phenomenon of patient participation during intensive care from the patient's point of view are scarce. Therefore, the aim of this study was to explore the meaning of patient participation in the intensive care unit from the patient's perspective.

RESEARCH DESIGN

A qualitative design was used for the purpose of the study with a purposive convenient sample of nine adult patients with memories from their intensive care stay.

METHOD

Data was collected through individual interviews and analysed using a phenomenological hermeneutical method.

FINDINGS

The results of our study show a variety of meanings and degrees of participation that continuously move on a sliding scale from acting as a captain to feelings of being on an isolated island. Patient participation varied due to individual cognitive abilities and individual preferences, and the caregiver's attention altered between the body and the person through the continuum of care.

CONCLUSION

Patient participation during ICU care is more than participation in decision-making processes or direct patient care decisions. An understanding of the concept participation from the individual patient is necessary to support person centred care and the patient's relatives play an important role in during the entire care process.

Prediction Models for Physical, Cognitive, and Mental Health Impairments After Critical Illness: A Systematic Review and Critical Appraisal

Supplemental Digital Content is available in the text.

Objectives:

Improved ability to predict impairments after critical illness could guide clinical decision-making, inform trial enrollment, and facilitate comprehensive patient recovery. A systematic review of the literature was conducted to investigate whether physical, cognitive, and mental health impairments could be predicted in adult survivors of critical illness.

Data Sources:

A systematic search of PubMed and the Cochrane Library (Prospective Register of Systematic Reviews ID: CRD42018117255) was undertaken on December 8, 2018, and the final searches updated on January 20, 2019.

Study Selection:

Four independent reviewers assessed titles and abstracts against study eligibility criteria. Studies were eligible if a prediction model was developed, validated, or updated for impairments after critical illness in adult patients. Discrepancies were resolved by consensus or an independent adjudicator.

Data Extraction:

Data on study characteristics, timing of outcome measurement, candidate predictors, and analytic strategies used were extracted. Risk of bias was assessed using the Prediction model Risk Of Bias Assessment Tool.

Data Synthesis:

Of 8,549 screened studies, three studies met inclusion. All three studies focused on the development of a prediction model to predict (1) a mental health composite outcome at 3 months post discharge, (2) return-to-pre-ICU functioning and residence at 6 months post discharge, and (3) physical function 2 months post discharge. Only one model had been externally validated. All studies had a high risk of bias, primarily due to the sample size, and statistical methods used to develop and select the predictors for the prediction published model.

Conclusions:

We only found three studies that developed a prediction model of any post-ICU impairment. There are several opportunities for improvement for future prediction model development, including the use of standardized outcomes and time horizons, and improved study design and statistical methodology.

National Trends and Variation of Functional Status Deterioration in the Medically Critically Ill

OBJECTIVES

Physical and psychologic deficits after an ICU admission are associated with lower quality of life, higher mortality, and resource utilization. This study aimed to examine the prevalence and secular changes of functional status deterioration during hospitalization among nonsurgical critical illness survivors over the past decade.

DESIGN

We performed a retrospective longitudinal cohort analysis.

SETTING

Analysis performed using the Cerner Acute Physiology and Chronic Health Evaluation outcomes database which included manually abstracted data from 236 U.S. hospitals from 2008 to 2016.

PATIENTS

We included nonsurgical adult ICU patients who survived their hospitalization and had a functional status documented at ICU admission and hospital discharge. Physical functional status was categorized as fully independent, partially dependent, or fully dependent.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Functional status deterioration occurred in 38,116 patients (29.3%). During the past decade, functional status deterioration increased in each disease category, as well as overall (prevalence rate ratio, 1.15; 95% CI, 1.13-1.17; p < 0.001). Magnitude of functional status deterioration also increased over time (odds ratio, 1.03; 95% CI, 1.03-1.03; p < 0.001) with hematological, sepsis, neurologic, and pulmonary disease categories having the highest odds of severe functional status deterioration.

CONCLUSIONS

Following nonsurgical critical illness, the prevalence of functional status deterioration and magnitude increased in a nationally representative cohort, despite efforts to reduce ICU dysfunction over the past decade. Identifying the prevalence of functional status deterioration and primary etiologies associated with functional status deterioration will elucidate vital areas for further research and targeted interventions. Reducing ICU debilitation for key disease processes may improve ICU survivor mortality, enhance quality of life, and decrease healthcare utilization.

Post-Intensive-Care Syndrome for the Pediatric Neurologist

The number of children who survive critical illness has steadily increased. However, lower mortality rates have resulted in a proportional increase in post-intensive-care morbidity. Critical illness in childhood affects a child's development, cognition, and family functioning. The constellation of physical, emotional, cognitive, and psychosocial symptoms that begin in the intensive care unit and continue after discharge has recently been termed post-intensive-care syndrome. A conceptual model of the post-intensive-care syndrome experienced by children who survive critical illness, their siblings, and parents has been coined post-intensive-care syndrome in pediatrics. Owing to their prolonged hospitalizations, the use of sedative medications, and the nature of their illness, children with primary neurological injury are among those at the highest risk for post-intensive-care syndrome in pediatrics. The pediatric neurologist participates in the care of children with acute brain injury throughout their hospitalization and remains involved after the patient leaves the hospital. Hence it is important for pediatric neurologists to become versed in the early recognition and management of post-intensive-care syndrome in pediatrics. In this review, we discuss the current knowledge regarding post-intensive-care syndrome in pediatrics and its risk factors. We also discuss our experience establishing Pediatric Neurocritical Care Recovery Programs at two large academic centers. Last, we provide a battery of validated tests to identify and manage the different aspects of post-intensive-care syndrome in pediatrics, which have been successfully implemented at our institutions. Dissemination of this "road map" may assist others interested in establishing recovery programs, therefore mitigating the burden of post-intensive-care morbidity in children.

ICU discharge screening for prediction of new-onset physical disability-A multinational cohort study

BACKGROUND

Methods to identify patients at risk for incomplete physical recovery after intensive care unit (ICU) stay are lacking. Our aim was to develop a method for prediction of new-onset physical disability at ICU discharge.

METHODS

Multinational prospective cohort study in 10 general ICUs in Sweden, Denmark, and the Netherlands. Adult patients with an ICU stay ≥12 hours were eligible for inclusion. Sixteen candidate predictors were analyzed with logistic regression for associations with the primary outcome; new-onset physical disability 3 months post-ICU, defined as a ≥10 score reduction in the Barthel Index (BI) compared to baseline.

RESULTS

Of the 572 included patients, follow-up data are available on 78% of patients alive at follow-up. The incidence of new-onset physical disability was 19%. Univariable and multivariable modeling rendered one sole predictor for the outcome: physical status at ICU discharge, assessed with the five first items of the Chelsea critical care physical assessment tool (CPAx) (odds ratio 0.87, 95% confidence interval (CI) 0.81-0.93), a higher score indicating a lower risk, with an area under the receiver operating characteristics curve of 0.68 (95% CI 0.61-0.76). Negative predictive value for a low-risk group (CPAx score >18) was 0.88, and positive predictive value for a high-risk group (CPAx score ≤18) was 0.32.

CONCLUSION

The ICU discharge assessment described in this study had a moderate AUC but may be useful to rule out patients unlikely to need physical interventions post-ICU. For high-risk patients, research to determine post-ICU risk factors for an incomplete rehabilitation is mandated.

Survivor But Not Fully Recovered: The Lived Experience After 1 Year of Surviving Sepsis

BACKGROUND

Hospital mortality rates related to sepsis have decreased over the last decade, increasing the number of survivors of sepsis who may experience long-term consequences. Yet, little is known about how they perceive their illness experience and its aftermath.

OBJECTIVE

This study explores the experiences of sepsis survivors after 1 year of their index intensive care unit (ICU) stay.

METHODS

This phenomenological study was guided by Merleau-Ponty's philosophy. Participants were adult patients admitted directly to the medical ICU with sepsis who had an ICU stay of at least 48 hours and had been discharged from their index ICU stay for at least 1 year. Participants were invited by letter to participate in face-to-face or telephone interviews and a brief survey. Interviews were audio recorded, transcribed verbatim, and verified. An interpretive group read transcripts aloud to increase rigor of identifying meaning units, existential grounds, and thematic structure.

RESULTS

Eight participants were recruited over 20 months. Participants were primarily white (87.5%) females (75%) with an age range of 37 to 74 years who were interviewed between 1 and 2 years following an index sepsis ICU stay. Five major themes emerged from the transcripts: (1) how they survived, (2) blurring of time versus counting time by events, (3) helpful help versus unhelpful help, (4) powerless versus striving for control, and (5) survivor but not fully recovered.

DISCUSSION

Findings reflected a long trajectory of chronic illness in which the index episode of sepsis was not necessarily what stood out as figural to participants. The meaning of participant experiences must be considered in the context of a health care system that offers little to no systematic follow-up care after sepsis and little prevention. Participants expressed a need for advocacy and follow-up support.

Development of an ICU discharge instrument predicting psychological morbidity: a multinational study

Purpose

To develop an instrument for use at ICU discharge for prediction of psychological problems in ICU survivors.

Methods

Multinational, prospective cohort study in ten general ICUs in secondary and tertiary care hospitals in Sweden, Denmark and the Netherlands. Adult patients with an ICU stay ≥ 12 h were eligible for inclusion. Patients in need of neurointensive care, with documented cognitive impairment, unable to communicate in the local language, without a home address or with more than one limitation of therapy were excluded. Primary outcome was psychological morbidity 3 months after ICU discharge, defined as Hospital Anxiety and Depression Scale (HADS) subscale score ≥ 11 or Post-traumatic Stress Symptoms Checklist-14 (PTSS-14) part B score > 45.

Results

A total of 572 patients were included and 78% of patients alive at follow-up responded to questionnaires. Twenty percent were classified as having psychological problems post-ICU. Of 18 potential risk factors, four were included in the final prediction model after multivariable logistic regression analysis: symptoms of depression [odds ratio (OR) 1.29, 95% confidence interval (CI) 1.10–1.50], traumatic memories (OR 1.44, 95% CI 1.13–1.82), lack of social support (OR 3.28, 95% CI 1.47–7.32) and age (age-dependent OR, peak risk at age 49–65 years). The area under the receiver operating characteristics curve (AUC) for the instrument was 0.76 (95% CI 0.70–0.81).

Conclusions

We developed an instrument to predict individual patients’ risk for psychological problems 3 months post-ICU, http://www.imm.ki.se/biostatistics/calculators/psychmorb/. The instrument can be used for triage of patients for psychological ICU follow-up.

Trial registration

The study was registered at clinicaltrials.gov, NCT02679157.

Electronic supplementary material

The online version of this article (10.1007/s00134-018-5467-3) contains supplementary material, which is available to authorized users.

Functional Status in Older Intensive Care Unit Survivors

Older ICU survivors are often challenged with clusters of geriatric syndromes and functional decline. The purpose of this study was (a) to assess patterns of geriatric syndromes and functional status from admission to 6 months post discharge and (b) to examine the predictors of longitudinal functional status. This is a prospective cohort study. Demographic information, clinical variables, geriatric syndromes, and functional status were collected longitudinally. A total of 192 medical ICU older adult survivors were included in the analysis. Factors associated with reductions in functional status over 6 months were (a) institutionalized prior to hospitalization, (b) pressure sore before admission, (c) existing delirium, (d) impaired mobility at baseline, (e) increased APACHE II score upon ICU admission, and (f) use of mechanical ventilation during the ICU stay. Importantly, overweight was the only factor that was associated with increased functional level over 6 months.

Factors associated with non-response at health-related quality of life follow-up in a septic shock trial

BACKGROUND

Follow-up of intensive care unit (ICU) patients often includes health-related quality of life (HRQoL) surveying, but non-responders hamper the interpretation. Our aim was to assess factors for non-response to HRQoL survey in ICU patients with septic shock at follow-up in a clinical trial.

METHODS

In a post hoc follow-up registry study, we assessed all the Danish survivors in the Transfusion-Requirements in Septic Shock trial patients, who were mailed the Short Form 36-item Survey (SF-36) 1-year after randomization. We used covariates from the trial database merged with covariates from nation-wide registries using the unique national identification number to explore possible factors for not responding. Five covariates were pre-specified to be included in the primary multivariate analysis: age, number of days in hospital from randomization to follow-up, level of education, cohabitation and employment status at follow-up. We compared the mortality from 1-year survival (2012-2014) till end of final follow-up (January 2016) between non-responders and responders.

RESULTS

We assessed 308 survivors of whom 108 (35%) were non-responders. In the primary analysis lower age (odds ratio 1.03, 95% CI [1.01-1.05]), more admission days in hospital (1.006 [1.001-1.011]) and living alone (4.33 [2.46-7.63]) were associated with non-responding, whereas the level of education and employment status were not. Non-responders had a hazard ratio of 1.63 [0.97-2.72] for mortality from 1-year follow-up to final follow-up as compared to the responders.

CONCLUSION

Being younger, spending more days in hospital and living alone were all associated with non-response at 1-year HRQoL follow-up among ICU patients with septic shock.

The ability of intensive care unit physicians to estimate long-term prognosis in survivors of critical illness

PURPOSE

To assess the reliability of physicians' prognoses for intensive care unit (ICU) survivors with respect to long-term survival and health related quality of life (HRQoL).

METHODS

We performed an observational cohort-study in a single mixed tertiary ICU in The Netherlands. ICU survivors with a length of stay >48h were included. At ICU discharge, one-year prognosis was estimated by physicians using the four-option Sabadell score to record their expectations. The outcome of interest was poor outcome, which was defined as dying within one-year follow-up, or surviving with an EuroQoL5D-3L index <0.4.

RESULTS

Among 1399 ICU survivors, 1068 (76%) subjects were expected to have a good outcome; 243 (18%) a poor long-term prognosis; 43 (3%) a poor short-term prognosis, and 45 (3%) to die in hospital (i.e. Sabadell score levels). Poor outcome was observed in 38%, 55%, 86%, and 100% of these groups respectively (concomitant c-index: 0.61). The expected prognosis did not match observed outcome in 365 (36%) patients. This was almost exclusively (99%) due to overoptimism. Physician experience did not affect results.

CONCLUSIONS

Prognoses estimated by physicians incorrectly predicted long-term survival and HRQoL in one-third of ICU survivors. Moreover, inaccurate prognoses were generally the result of overoptimistic expectations of outcome.

Somatosensory Functions in Survivors of Critical Illness

OBJECTIVES

There is growing evidence for increased levels of pain and reduced health-related quality of life in survivors of critical illness. Recent studies showed marked small nerve fiber pathology in critically ill patients, which may contribute to chronic pain states and reduced physical recovery after ICU discharge. Primary objective of this study was the comparison of somatosensory functions between survivors of critical illness 6 months after ICU discharge and controls. In post hoc analyses, we aimed to identify associations between small fiber deficits, pain, health-related quality of life, and clinical data.

DESIGN

Cross-sectional study.

SETTING

Study in critical illness survivors.

PATIENTS

Critical illness survivors (n = 84) and controls (n = 44).

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Somatosensory functions were assessed with validated quantitative sensory testing. Pain and pain-related disability were assessed with the chronic pain grade questionnaire. Health-related quality of life was assessed by means of the Short Form-36. Compared with controls, former patients showed significantly increased thermal detection thresholds and more abnormal values in thermal testing, indicating reduced small fiber functioning. In addition, compared to patients without significant small fiber deficits (n = 46, 54.8%), patients with significant small fiber deficits (n = 38, 45.2%) reported higher average pain intensity, pain-related disability, and reduced physical health-related quality of life in the SF-36.

CONCLUSIONS

A large portion of former critically ill patients show small fiber deficits which seem to be associated with increased pain and reduced physical health-related quality of life. Screening of somatosensory functions in the (post-) acute setting could possibly help to identify patients at risk of long-term impairments.

Surviving critical illness: what is next? An expert consensus statement on physical rehabilitation after hospital discharge

BACKGROUND

The study objective was to obtain consensus on physical therapy (PT) in the rehabilitation of critical illness survivors after hospital discharge. Research questions were: what are PT goals, what are recommended measurement tools, and what constitutes an optimal PT intervention for survivors of critical illness?

METHODS

A Delphi consensus study was conducted. Panelists were included based on relevant fields of expertise, years of clinical experience, and publication record. A literature review determined five themes, forming the basis for Delphi round one, which was aimed at generating ideas. Statements were drafted and ranked on a 5-point Likert scale in two additional rounds with the objective to reach consensus. Results were expressed as median and semi-interquartile range, with the consensus threshold set at ≤0.5.

RESULTS

Ten internationally established researchers and clinicians participated in this Delphi panel, with a response rate of 80 %, 100 %, and 100 % across three rounds. Consensus was reached on 88.5 % of the statements, resulting in a framework for PT after hospital discharge. Essential handover information should include information on 15 parameters. A core set of outcomes should test exercise capacity, skeletal muscle strength, function in activities of daily living, mobility, quality of life, and pain. PT interventions should include functional exercises, circuit and endurance training, strengthening exercises for limb and respiratory muscles, education on recovery, and a nutritional component. Screening tools to identify impairments in other health domains and referral to specialists are proposed.

CONCLUSIONS

A consensus-based framework for optimal PT after hospital discharge is proposed. Future research should focus on feasibility testing of this framework, developing risk stratification tools and validating core outcome measures for ICU survivors.

Psychiatric Symptoms in Acute Respiratory Distress Syndrome Survivors: A 1-Year National Multicenter Study

OBJECTIVE

To evaluate prevalence, severity, and co-occurrence of and risk factors for depression, anxiety, and posttraumatic stress disorder symptoms over the first year after acute respiratory distress syndrome.

DESIGN

Prospective longitudinal cohort study.

SETTINGS

Forty-one Acute Respiratory Distress Syndrome Network hospitals across the United States.

PATIENTS

Six hundred ninety-eight acute respiratory distress syndrome survivors.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Psychiatric symptoms were evaluated by using the Hospital Anxiety and Depression Scale and Impact of Event Scale-Revised at 6 and 12 months. Adjusted prevalence ratios for substantial symptoms (binary outcome) and severity scores were calculated by using Poisson and linear regression, respectively. During 12 months, a total of 416 of 629 patients (66%) with at least one psychiatric outcome measure had substantial symptoms in at least one domain. There was a high and almost identical prevalence of substantial symptoms (36%, 42%, and 24% for depression, anxiety, and posttraumatic stress disorder) at 6 and 12 months. The most common pattern of co-occurrence was having symptoms of all three psychiatric domains simultaneously. Younger age, female sex, unemployment, alcohol misuse, and greater opioid use in the ICU were significantly associated with psychiatric symptoms, whereas greater severity of illness and ICU length of stay were not associated.

CONCLUSIONS

Psychiatric symptoms occurred in two thirds of acute respiratory distress syndrome survivors with frequent co-occurrence. Sociodemographic characteristics and in-ICU opioid administration, rather than traditional measures of critical illness severity, should be considered in identifying the patients at highest risk for psychiatric symptoms during recovery. Given high co-occurrence, acute respiratory distress syndrome survivors should be simultaneously evaluated for a full spectrum of psychiatric sequelae to maximize recovery.

Early identification of patients at risk of long-term critical illness-associated physical disability: is it possible?

ICU-acquired weakness can hinder and determine the course of recovery from critical illness, leading to life-changing disability. Risk factors include multiorgan failure and prolonged bed rest; however, no prognostic model or screening tool for new-onset disability has been established to date. With no way of targeting the at-risk population, it is difficult to demonstrate the benefit of rehabilitation interventions in research and prioritize resources clinically. In a recent issue of Critical Care, Schandl and colleagues aimed to establish a predictive screening tool for new-onset disability using 23 possible predictors. They found that using the following risk factors – low educational level, fractures, reduced core stability and length of ICU stay over 2 days – they were able to develop a risk score predictive of disability at 2 months after hospital discharge. These investigators propose that this will help to identify patients requiring follow-up and may increase the power to detect change in interventional studies. Whilst this is promising work, further validation is essential: firstly, to make it a clinically workable tool in terms of appropriate ‘cut offs’; secondly, to ensure that it is transferable in different socio-economic environments; and finally, to make sure that those identified as ‘at risk’ are those that would benefit the most from targeted intervention.