Developing an early screening instrument for predicting psychological morbidity after critical illness

Construction of a risk prediction model for detecting postintensive care syndrome-mental disorders

BACKGROUND

Postintensive care syndrome (PICS) has adverse multidimensional effects on nearly half of the patients discharged from ICU. Mental disorders such as anxiety, depression and post-traumatic stress disorder (PTSD) are the most common psychological problems for patients with PICS with harmful complications. However, developing prediction models for mental disorders in post-ICU patients is an understudied problem.

AIMS

To explore the risk factors of PICS mental disorders, establish the prediction model and verify its prediction efficiency.

STUDY DESIGN

In this cohort study, data were collected from 393 patients hospitalized in the ICU of a tertiary hospital from April to September 2022. Participants were randomly assigned to modelling and validation groups using a 7:3 ratio. Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was performed to select the predictors, multiple logistic regression analysis was used to establish the risk prediction model, and a dynamic nomogram was developed. The Hosmer-Lemeshow (HL) test was performed to determine the model's goodness of fit. The area under the receiver operating characteristic (ROC) curve was used to evaluate the model's prediction efficiency.

RESULTS

The risk factors of mental disorders were Sepsis-related organ failure assessment (SOFA) score, Charlson comorbidity index (CCI), delirium duration, ICU depression score and ICU sleep score. The HL test revealed that p = .249, the area under the ROC curve = 0.860, and the corresponding sensitivity and specificity were 84.8% and 71.0%, respectively. The area under the ROC curve of the verification group was 0.848. A mental disorders dynamic nomogram for post-ICU patients was developed based on the regression model.

CONCLUSIONS

The prediction model provides a reference for clinically screening patients at high risk of developing post-ICU mental disorders, to enable the implementation of timely preventive management measures.

RELEVANCE TO CLINICAL PRACTICE

The dynamic nomogram can be used to systematically monitor various factors associated with mental disorders. Furthermore, nurses need to develop and apply accurate nursing interventions that consider all relevant variables.

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.

Symptom Assessment for Mechanically Ventilated Patients: Principles and Priorities: An Official American Thoracic Society Workshop Report

Mechanically ventilated patients experience many adverse symptoms, such as anxiety, thirst, and dyspnea. However, these common symptoms are not included in practice guideline recommendations for routine assessment of mechanically ventilated patients. An American Thoracic Society-sponsored workshop with researchers and clinicians with expertise in critical care and symptom management was convened for a discussion of symptom assessment in mechanically ventilated patients. Members included nurses, physicians, a respiratory therapist, a speech-language pathologist, a critical care pharmacist, and a former intensive care unit patient. This report summarizes existing evidence and consensus among workshop participants regarding 1) symptoms that should be considered for routine assessment of adult patients receiving mechanical ventilation; 2) key symptom assessment principles; 3) strategies that support symptom assessment in nonvocal patients; and 4) areas for future clinical practice development and research. Systematic patient-centered assessment of multiple symptoms has great potential to minimize patient distress and improve the patient experience. A culture shift is necessary to promote ongoing holistic symptom assessment with valid and reliable instruments. This report represents our workgroup consensus on symptom assessment for mechanically ventilated patients. Future work should address how holistic, patient-centered symptom assessment can be embedded into clinical practice.

Association between the presence of delirium during intensive care unit admission and cognitive impairment or psychiatric problems: the Korean ICU National Data Study

Objective

Delirium in the intensive care unit (ICU) may be a preventable risk factor for cognitive impairment or psychiatric problems. We aimed to evaluate the association between the presence of delirium during hospitalization involving ICU care and post-discharge cognitive impairment or psychiatric problems.

Design

A retrospective cohort study.

Setting

A database of nationwide insurance claims data.

Patients

All adult patients aged 18 years or older who were admitted to an ICU between January 1, 2008, and May 31, 2015, and had no history of previous cognitive impairment or psychiatric problems were included in the study.

Interventions

None.

Measurements and main results

Of 306,011 patients who met the inclusion criteria, the proportion of those who experienced delirium during hospitalization was 55.0% (n = 168,190). The patients with delirium during hospitalization had significantly increased odds for cognitive impairment (adjusted hazard ratio [HR] 1.17; 95% confidence interval [CI] 1.05–1.29) and psychiatric problems (adjusted HR 1.78; 95% CI 1.67–1.90) after discharge compared with patients without delirium. In patients who had delirium, the incidence of cognitive impairment was 210.8 per 1000 person-years. In 19,496 patients who were diagnosed with cognitive impairment, depression (n = 3233, 16.5%), sleep disorder (n = 1791, 9.2%), and anxiety (n = 1683, 8.6%) were commonly co-diagnosed. The most common psychiatric problem was sleep disorder (148.7 per 1000 person-years), followed by depression (133.3 per 1000 person-years).

Conclusions

Among patients received ICU care, those who experienced delirium during hospitalization had an increased risk of developing cognitive impairment or psychiatric problems post-discharge. Many patients showed multiple cognitive impairment and psychiatric problems during the follow-up period. Efforts to decrease these problems should be made to increase the quality of life of these ICU survivors.

Intensive Care-Related Cognitive Impairment: A Biopsychosocial Overview

Advancements in critical care medicine have improved survival rates for patients experiencing critical illness in intensive care units (ICUs). While mortality has declined, more than half of ICU survivors experience functional impairments that persist beyond discharge. Of particular concern is ICU-related cognitive impairment, which can extend across the care continuum, ranging from acute and transient presentations in the ICU (eg, delirium) to long-term impairments years after discharge. ICU-related cognitive impairment has received increased attention in the literature, particularly as it relates to ICU survivors who have received and survived critical care in the context of SARS-CoV-2 pandemic and are now experiencing post-acute sequelae of SARS-CoV-2 infection. The medical complexity and heterogeneity of ICU survivors, coupled with the multifactorial etiology of ICU-related cognitive impairments, lead to challenges in how to optimize care for ICU survivors at various stages of recovery. This review aims to provide an overview of cognitive outcomes associated with critical illness by integrating recent literature focused on etiology, assessment, and interventions in the context of ICU-related cognitive impairments. The narrative review employs a biopsychosocial framework to comprehensively evaluate the multifactorial nature of ICU-related cognitive outcomes. Authors also highlight multidisciplinary teams composed of key rehabilitation providers are likely best suited for optimizing recovery trajectories of ICU survivors. This article is protected by copyright. All rights reserved.

Post-ICU Syndrome in a Cohort of COVID-19 Survivors in New York City

RATIONALE

The coronavirus disease 2019 (COVID-19) pandemic has led to a dramatic increase in the number of survivors of critical illness. These survivors are at increased risk of physical, psychological, and cognitive impairments known collectively as Post-Intensive Care Syndrome (PICS). Little is known about the prevalence of PICS in COVID-19 survivors.

OBJECTIVES

To report the prevalence of physical, psychological, and cognitive impairment among COVID-19 intensive care unit (ICU) survivors receiving follow-up care in an ICU recovery clinic, to assess for associations between PICS and ICU-related factors, and to compare the cohort of ICU survivors who attended post-ICU clinic to a cohort of ICU survivors who did not.

METHODS

We performed a retrospective cohort study of COVID-19 ICU survivors admitted from March to May 2020 who were subsequently seen in a post-ICU recovery clinic in New York City. We abstracted medical chart data on available clinical screening instruments for physical, psychological, and cognitive impairment. Associations between these outcomes and care-related variables were tested. Baseline characteristics and in-hospital treatments of the post-ICU clinic cohort were compared to COVID-19 ICU survivors from the same institution who were not seen in post-ICU clinic.

RESULTS

87 COVID-19 ICU survivors were seen in our post-ICU recovery clinic. The median age was 62 years and 74% were male. The median length of hospitalization was 51 days and the median length of ICU stay was 22 days. At the post-ICU follow-up visit, 29%, 21%, and 13% of patients reported clinically significant levels of depressive symptoms, anxiety, and post-traumatic stress disorder symptoms, respectively. 25% had cognitive impairment. The overall prevalence of PICS was 90%. There were no associations between length of ICU stay, delirium, exposure to benzodiazepines, steroids, or systemic paralytics with positive screens for physical, psychological, or cognitive impairment. Baseline characteristics and ICU-related factors were similar in the cohort of COVID-19 ICU survivors who attended ICU recovery clinic and those who did not.

CONCLUSION

PICS is common in COVID-19 survivors. We did not find any association with length of ICU stay, the use of benzodiazepines, steroids, or paralytics.

Early Detection of Patients at Risk of Developing a Post-Traumatic Stress Disorder After an ICU Stay

OBJECTIVES

To evaluate the diagnostic accuracy of the Impact Event Scale-Revisited assessed following ICU discharge to predict the emergence of post-traumatic stress disorder symptoms at 3 months.

DESIGN

Prospective cohort study.

SETTING

Three medical or surgical ICU of a French university hospital (Lyon, France).

PATIENTS

Patients greater than or equal to 18 years old, leaving ICU after greater than or equal to 2 nights of stay, between September 2017 and April 2018.

INTERVENTIONS

Patients completed the Impact Event Scale-Revisited and the Peritraumatic Dissociative Experiences Questionnaire within 8 days after ICU discharge and the Impact Event Scale-Revisited again at 3 months by phone. Patients having an Impact Event Scale-Revisited greater than or equal to 35 at 3 months were considered as having post-traumatic stress disorder symptoms.

MEASUREMENTS AND MAIN RESULTS

Among the 208 patients screened, 174 were included and 145 reassessed by phone at 3 months. Among the patients included at baseline, 43% presented symptoms of acute stress. At 3 months, 13% had an Impact Event Scale-Revisited greater than or equal to 35 and 17% had a score between 12 and 34. Regarding the performance of the Impact Event Scale-Revisited performed within 8 days after the ICU discharge to predict post-traumatic stress disorder symptoms at 3 months, the area under the curve was 0.90 (95% CI, 0.80-0.99), and an Impact Event Scale-Revisited greater than or equal to 12 had a sensitivity of 90%, a specificity of 71%, a positive predictive value of 32%, and a negative predictive value of 98%. History of anxiety disorder odds ratio = 3.7 (95% CI, 1.24-11.05; p = 0.02) and Impact Event Scale-Revisited greater than or equal to 12 odds ratio = 16.57 (95% CI, 3.59-76.46; p < 0.001) were identified as risk factors for post-traumatic stress disorder symptoms.

CONCLUSIONS

Impact Event Scale-Revisited assessed at ICU discharge has a good ability for the detection of patients at risk of developing post-traumatic stress disorder symptoms. Patients with history of anxiety disorder and those presenting acute stress symptoms at ICU discharge are more at risk to develop post-traumatic stress disorder symptoms.

Psychological morbidity a year after treatment in intensive care unit

Several studies have linked treatment in the Intensive Care Unit (ICU) with negative psychological outcomes. This study explores the prevalence of negative psychological outcomes in Greek patients (N=29), a year after treatment in ICU. Percentages of participants with anxiety [41%, 95% CI (22%, 60%)] and Post- Traumatic Stress Disorder (PTSD) [34%, 95% CI (16%, 53%)] symptoms were similar to the related literature. Percentages of participants with depressive [17%, 95% CI (3%, 32%)] symptoms were rather low. Only 10% of participants reported absence of quality of live issues. Anxiety symptoms were related to desire to talk about the ICU experience (p=0.010), duration of propofol administration (p=0.018) and loss of employment (p=0.019) and negatively related to duration of stay in the ICU (p=0.025). PTSD symptoms were related to experiencing other stressors during the year after the ICU stay (p=0.001), social constraint (p=0.003), duration of propofol administration (p=0.004), loss of employment (p=0.020), low income (p=0.022) and negative ICU memories (p=0.029). Depressive symptoms were related to loss of employment (p=0.003), low income (p=0.029) and social constraint (p=0.033). Patients experience elevated levels of psychological symptoms long after they are discharged from the hospital. Several psychosocial factors emerged as important factors to consider for predicting levels of distress.

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.

Determinants of Depressive Symptoms at 1 Year Following ICU Discharge in Survivors of ≥ 7 Days of Mechanical Ventilation: Results From the RECOVER Program, a Secondary Analysis of a Prospective Multicenter Cohort Study

BACKGROUND

Moderate to severe depressive symptoms occur in up to one-third of patients at 1 year following ICU discharge, negatively affecting patient outcomes. This study evaluated patient and caregiver factors associated with the development of these symptoms.

METHODS

This study used the Rehabilitation and Recovery in Patients after Critical Illness and Their Family Caregivers (RECOVER) Program (Phase 1) cohort of 391 patients from 10 medical/surgical university-affiliated ICUs across Canada. We determined the association between patient depressive symptoms (captured by using the Beck Depression Inventory II [BDI-II]), patient characteristics (age, sex, socioeconomic status, Charlson score, and ICU length of stay [LOS]), functional independence measure (FIM) motor subscale score, and caregiver characteristics (Caregiver Assistance Scale and Center for Epidemiologic Studies-Depression Scale) by using linear mixed models at time points 3, 6, and 12 months.

RESULTS

BDI-II data were available for 246 patients. Median age at ICU admission was 56 years (interquartile range, 45-65 years), 143 (58%) were male, and median ICU LOS was 19 days (interquartile range, 13-32 days). During the 12-month follow-up, 67 of 246 (27.2%) patients had a BDI-II score ≥ 20, indicating moderate to severe depressive symptoms. Mixed models showed worse depressive symptoms in patients with lower FIM motor subscale scores (1.1 BDI-II points per 10 FIM points), lower income status (by 3.7 BDI-II points; P = .007), and incomplete secondary education (by 3.8 BDI-II points; P = .009); a curvilinear relation with age (P = .001) was also reported, with highest BDI-II at ages 45 to 50 years. No associations were found between patient BDI-II and comorbidities (P = .92), sex (P = .25), ICU LOS (P = .51), or caregiver variables (Caregiver Assistance Scale [P = .28] and Center for Epidemiologic Studies Depression Scale [P = .74]).

CONCLUSIONS

Increased functional dependence, lower income, and lower education are associated with increased severity of post-ICU depressive symptoms, whereas age has a curvilinear relation with symptom severity. Knowledge of risk factors may inform surveillance and targeted mental health follow-up. Early mobilization and rehabilitation aiming to improve function may serve to modify mood disorders.

[Assessment of mental symptoms in intensive care unit patients : Suggestion for a German version of the Intensive Care Psychological Assessment Tool]

BACKGROUND

Intensive care unit (ICU) treatment may be associated with mental symptoms such as anxiety, depressed mood, hopelessness and nightmares in critically ill patients. While many physical symptoms can be detected via standardized measures, an instrument to assess mental symptoms is actually missing.

OBJECTIVES

An existing validated screening tool to detect mental symptoms in critically ill patients, the Intensive Care Psychological Assessment Tool (IPAT), has been translated into German and tested in two surgical ICUs and an intermediate care unit.

MATERIALS AND METHODS

In addition to the German translation of the IPAT, Stait-Trait-Anxiety-Inventory (STAI-SKD) and Hospital Anxiety and Depression Scale (HADS-D) were used to determine convergent validity. Within a survey period of 3 months, a total of 90 awake and fully oriented patients were included in the study.

RESULTS

Internal consistency of the German translation was lower than that of the original study. The initial factor structure was partially replicated. Convergent validity was demonstrated for depressive and anxiety symptoms, but not for the presence of delirium. Patients who completed the screening were frequently suffering from sleep disturbances, tension, anxiety and depressed mood. A total of 37% of the patients exceeded the cut-off and are considered at-risk patients for psychological sequelae.

DISCUSSION

With regard to test quality, the results of the German version are currently not satisfactory. This may be due to the small sample size and sample selectivity, which is also the largest limitation of the study. The instrument proved to be practicable if patients can complete it as an interview. The adaptation for external assessment seems to be useful to capture psychological stress in patients with impaired communication and perception.

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.

[Psychological care in the intensive care unit : Task areas, responsibilities, requirements, and infrastructure]

The relatively high rates of mental stress among critically ill patients and their relatives implies the necessity of conceptually and financially embedded psychological care in intensive care units (ICUs). Professional associations also recommend the involvement of psychological professionals and screening of mental symptoms in critically ill patients. Intensive care medicine psychologists and psychotherapists take this as an opportunity to describe the content and goals of psychological care. Task areas are care for patients and relatives as well as staff support. Goals of psychological support in the ICU are detection of mental symptoms in patients and their treatment, psychological first aid for relatives in crisis situations, and support of the staff in terms of communication with patients and relatives as well as regarding development and maintenance of an adaptive coping style for dealing with emotionally challenging situations. Psychological care in the ICU is offered by psychologists, psychotherapists, or physicians with a psychotherapeutic qualification. The psychologist is integrated into the ICU team and has a proactive, resource-oriented, and supportive orientation. Psychological support can be an enrichment and a relief, both in the interdisciplinary treatment of patients as well as in the care of relatives, and also represent a resource for the team.

Early psychological screening of intensive care unit survivors: a prospective cohort study

Background

A majority of patients survive their episode of critical illness but up to 30% of patients suffer from psychological problems such as post-traumatic stress, anxiety and depression in the year after intensive care unit (ICU) stay. A method to identify discharged patients at risk for adverse psychological outcome would be helpful in the triage for ICU follow-up and could enable early intervention. The aim of this study was to evaluate whether early screening with validated questionnaires after ICU discharge can identify patients at risk for symptoms of post-traumatic stress, anxiety and depression 3 months after ICU stay.

Methods

We performed a prospective observational cohort study in the general ICU at the Karolinska University Hospital Solna, Stockholm, Sweden. All adult patients surviving ≥ 24 hours in the ICU in a 9-month period were eligible for inclusion. Patients with mental disability, serious auditory and visual disorder, aphasia or who were unable to understand Swedish were excluded. One hundred and thirty-two patients were included and visited by a follow-up nurse within 1 week after ICU discharge. The Hospital Anxiety and Depression Scale (HADS) and the Post-Traumatic Stress Symptoms Checklist-10 (PTSS-10) were administered. Three months after ICU discharge the patients received the same questionnaires by postal mail. We assessed the predictive values of the questionnaires using the area under the receiver operating characteristic curve (AUROC). For correlation calculations, we used Spearman’s rank correlation coefficient. Negative and positive predictive values for each questionnaire were calculated.

Results

Eighty-two patients returned the follow-up questionnaires. We found correlation between early and late scores and reasonable predictive precision regarding 3-month outcomes, with an AUROC of 0.90 for PTSS-10 part B, 0.80 for the HADS anxiety subscale and 0.75 for the HADS depression subscale.

Conclusions

Symptoms of post-traumatic stress, anxiety and depression assessed 1 week after ICU stay correlate with 3-month psychological outcome. The HADS and PTSS-10 may be useful aids to identify ICU survivors at high risk for clinically significant symptoms of post-traumatic stress, anxiety and depression 3 months post ICU stay.

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.

The relation between skin conductance responses and recovery from symptoms of PTSD

BACKGROUND

The purpose was to investigate if potentially stressful reminders of the intensive care unit (ICU) stay influenced variability in transient skin conductance responses, and whether such changes were associated with post-traumatic stress symptoms (PTSS), and development of symptoms over time.

METHODS

Thirty patients with an ICU length of stay > 48 h were included in the study. Within the week after ICU discharge (T1), patients were exposed to authentic ICU sound and questions regarding traumatic ICU memories while skin conductance reactivity was monitored. PTSS was assessed using PTSS-10 at T1 and again 3 months later (T2). Changes in number of skin conductance fluctuations per second (NSCF) between baseline and during the cueing conditions and in relation to PTSS scores (T1) were investigated. PTSS scores at T2 and changes between T1 and T2 (PTSS-CS) were used to investigate if reactivity in NSCF could predict symptoms of PTSD.

RESULTS

The results showed increases in NSCF during both situational and verbal cueing, compared to baseline. However, no relation to PTSS scores was indicated. Negative correlations between NSCF during situational cueing and both PTSS-T2 and PTSS-CS were found among women, but not among men.

CONCLUSION

A low variability, or reactivity in skin conductance responses to situational cues could imply a risk of developing, or not being able to recover from, symptoms of PTSD in women. As such, the measurement could be used to predict this risk in women. However, further studies are necessary to evaluate this area of application.

[Depressive, anxiety and posttraumatic stress disorders as long-term sequelae of intensive care treatment]

Modern intensive care medicine has led to increased survival rates even after severe life-threatening medical conditions. In self-critical and multidimensional outcome research, however, it must be considered that beyond survival rates treatment on intensive care units (ICU) can also be associated with high long-term rates of depressive, anxiety and posttraumatic stress disorders. Significant correlations with increased somatic morbidity and mortality, persisting cognitive impairments and significant deficits in health-related quality of life must also be taken into consideration. Empirical analysis of the risk factors reveals that a history of premorbid depression, sociodemographic and socioeconomic variables, age, female sex, personality traits, the underlying pathophysiological condition requiring ICU treatment, mode of sedation and analgesia, life support measures, such as mechanical ventilation, manifold traumatic experiences and memories during the stay in the ICU are all of particular pathogenetic importance. In order to reduce principally modifiable risk factors several strategies are illustrated, including well-reflected intensive care sedation and analgesia, special prophylactic medication regarding the major risk of traumatic memories and posttraumatic stress disorder (PTSD), psychological and psychotherapeutic interventions in states of increased acute stress symptoms and aids for personal memories and reorientation.

Clinicians' perceptions of rationales for rehabilitative exercise in a critical care setting: A cross-sectional study

BACKGROUND

Rehabilitative exercise for critically ill patients may have many benefits; however, it is unknown what intensive care unit (ICU) clinicians perceive to be important rationale for the implementation of rehabilitative exercise in critical care settings.

OBJECTIVE

To identify which rationales for rehabilitative exercise interventions were perceived by ICU clinicians to be important and determine whether perceptions were consistent across nursing, medical and physiotherapy clinicians.

METHODS

A cross-sectional study was undertaken among clinicians (nursing, medical, physiotherapy) working in a mixed medical surgical ICU in an Australian metropolitan tertiary hospital. Participants completed a customised web-based questionnaire developed by a clinician working-group. The questionnaire consisted of 11 plausible rationales for commencing rehabilitative exercise in ICUs based on prior literature and their own clinical experiences grouped into 4 over-arching categories (musculoskeletal, respiratory, psychological and facilitation of discharge). Participants rated their perceived importance for each potential rationale on a 5-point Likert scale.

RESULTS

Participants (n=76) with a median (interquartile range) 4.8 (1.5, 15.5) years of experience working in ICUs completed the questionnaire. Responses were consistent across professional disciplines. Clinicians rated rehabilitative exercise as either 'very much' or 'somewhat' important for facilitating discharge (n=76, 100%), reducing muscle atrophy (n=76, 100%), increasing muscle strength (n=76, 100%), prevention of contractures (n=73, 96%), reducing the incidence of ICU acquired weakness (n=62, 82%), increasing oxygenation (n=71, 93%), facilitating weaning (n=72, 97%), reducing anxiety (n=60, 80%), reducing depression (n=64, 84%), reducing delirium (n=53, 70%), and increasing mental alertness (n=65, 87%).

CONCLUSIONS

Any shortcoming in implementation of rehabilitation exercise is unlikely attributable to a lack of perceived importance by nursing, medical or physiotherapy clinicians who are the most likely clinicians to influence rehabilitation practices in ICUs. It is noteworthy that this study examined self-reported perceptions, not physiological or scientific legitimacy of rationales, or clinician behaviours in practice.

Propranolol, post-traumatic stress disorder, and intensive care: incorporating new advances in psychiatry into the ICU

Post-traumatic stress disorder (PTSD) is a common complication of an ICU admission. Rarely is there a continuation of care, which is aimed at screening for and treating this debilitating disease. Current treatment options for PTSD are held back by inconsistent efficacy, poor evidence, and a lack of understanding of its psychopathology. Without 'gold standard' assessment techniques to diagnose PTSD after an ICU admission, the development of care pathways is hindered. This paper advocates for two interwoven advances in psychiatric care (specifically for PTSD) after ICU: (1) incorporate the monitoring and treating of psychiatric co-morbidities during extended patient follow-up, and (2) rapidly adopting the latest research to maximize its benefit. The discovery that memories were not fixed, but malleable to change, set off a sequence of experiments that have revolutionized the approach to treating PTSD. It is hoped that the phenomenon of reconsolidation can be exploited therapeutically. In the act of remembering and re-storing traumatic memories, propranolol can act to dissociate the state of sympathetic arousal from their recollection. Often, ICU patients have multiple physical co-morbidities that may be exacerbated, or their treatment disrupted, by such a pervasive psychological condition. The rapid uptake of new techniques, aimed at reducing PTSD after ICU admission, is necessary to maximize the quality of care given to patients. Increasingly, the realization that the role of intensive care specialists may extend beyond the ICU is changing clinical practice. As this field advances, intensivists and psychiatrists alike must collaborate by using the latest psychopharmacology to treat their patients and combat the psychological consequences of experiencing the extremes of physiological existence.

Detecting acute distress and risk of future psychological morbidity in critically ill patients: validation of the intensive care psychological assessment tool

INTRODUCTION

The psychological impact of critical illness on a patient can be severe, and frequently results in acute distress as well as psychological morbidity after leaving hospital. A UK guideline states that patients should be assessed in critical care units, both for acute distress and risk of future psychological morbidity; but no suitable method for carrying out this assessment exists. The Intensive care psychological assessment tool (IPAT) was developed as a simple, quick screening tool to be used routinely to detect acute distress, and the risk of future psychological morbidity, in critical care units.

METHODS

A validation study of IPAT was conducted in the critical care unit of a London hospital. Once un-sedated, orientated and alert, critical care patients were assessed with the IPAT and validated tools for distress, to determine the IPAT's concurrent validity. Fifty six patients took IPAT again to establish test-retest reliability. Finally, patients completed posttraumatic stress disorder (PTSD), depression and anxiety questionnaires at three months, to determine predictive validity of the IPAT.

RESULTS

One hundred and sixty six patients completed the IPAT, and 106 completed follow-up questionnaires at 3 months. Scale analysis showed IPAT was a reliable 10-item measure of critical care-related psychological distress. Test-retest reliability was good (r =0.8). There was good concurrent validity with measures of anxiety and depression (r =0.7, P <0.01; r =0.6, P <0.01). With a cut-point of ≥7, the IPAT had 82% sensitivity and 65% specificity to detect concurrent anxiety; and 80% sensitivity and 66% specificity to detect concurrent low mood (area under the curve (AUC) =0.8 for both). Predictive validity for psychological morbidity was good (r =0.4, P <0.01; r =0.64, P <0.01 for PTSD with days 1 and 2 data). The IPAT had 69% specificity and 57% sensitivity to predict future psychological morbidity (AUC =0.7).

CONCLUSIONS

The IPAT was found to have good reliability and validity. Sensitivity and specificity analysis suggest the IPAT could provide a way of allowing staff to assess psychological distress among critical care patients after further replication and validation. Further work is also needed to determine its utility in predicting future psychological morbidity.

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

Introduction

Many intensive care unit (ICU) survivors suffer from physical disability for months after ICU stay. There is no structured method to identify patients at risk for such problems. The purpose of the study was to develop a method for early in-ICU prediction of the patient’s individual risk for new-onset physical disability two months after ICU stay.

Methods

In total, 23 potential predictors for physical disability were assessed before individual ICU discharge. Two months after ICU discharge, out of 232 eligible patients, 148 ICU survivors (64%) completed the activity of daily living (ADL) staircase questionnaire to determine new-onset physical disability.

Results

A total of 95% percent of patients had no ADL reduction prior to ICU admission. Forty-seven percent (n = 69) of questionnaire responders suffered from worsened ADL. We identified four independent predictors for new-onset physical disability: Low educational level (odds ratio (OR) = 6.8), impaired core stability (OR = 4.6), fractures (OR = 4.5) and ICU length of stay longer than two days (OR = 2.6). The predictors were included in a screening instrument. The regression coefficient of each predictor was transformed into a risk score. The sum of risk scores was related to a predicted probability for physical disability in the individual patient. The cross-validated area under receiver operating characteristics curve (AUC) for the screening instrument was 0.80.

Conclusions

Educational level is the single most important predictor for new-onset physical disability two months after ICU stay, followed by impaired core stability at ICU discharge, the presence of fractures and ICU stay longer than two days. A simple screening instrument based on these predictors can be used at ICU discharge to determine the risk for new-onset physical disability. This preliminary instrument may help clinicians to identify patients in need of support, but needs external validation prior to wider clinical use.

Electronic supplementary material

The online version of this article (doi:10.1186/s13054-014-0455-7) contains supplementary material, which is available to authorized users.

Posttraumatic stress disorder among survivors of critical illness: creation of a conceptual model addressing identification, prevention, and management

Quality of life is frequently impaired among survivors of critical illness, and psychiatric morbidity is an important element contributing to poor quality of life in these patients. Among potential manifestations of psychiatric morbidity following critical illness, symptoms of posttraumatic stress are prevalent and intricately linked to the significant stressors present in the intensive care unit (ICU). As our understanding of the epidemiology of post-ICU posttraumatic stress disorder improves, so must our ability to identify those at highest risk for symptoms in the period of time following critical illness and our ability to implement strategies to prevent symptom development. In addition, a focus on strategies to address clinically apparent psychiatric morbidity will be essential. Much remains to be understood about the identification, prevention, and management of this significant public health problem. This article addresses the importance of uniformity in future epidemiologic studies, proposes framing of risk factors into those likely to be modifiable versus non-modifiable, and provides an assessment of modifiable risk factors in the context of a novel conceptual model that offers insight into potential strategies to attenuate symptoms of posttraumatic stress among survivors of critical illness.

The assessment and risk stratification of psychological morbidity in critical care survivors

Along with the ageing population, there is an expanding number of critical care survivors in the community. This group is at risk for both physical and psychological morbidity following their stay. Factors that predispose patients to commonly reported sequelae such as post-traumatic stress disorder, anxiety and depression remain incompletely elucidated. A tool to identify and stratify survivors at discharge may improve outcomes by allowing early and targeted intervention. Looking forward, the identification of aspects of practice associated with long-term adverse consequences should allow us to evolve our current protocols in a way that provides long-term benefit for patients.