The 5-Year Incidence of Mental Disorders in a Population-Based ICU Survivor Cohort

New-onset mental illness and long-term survival in survivors of critical illness: population-based cohort study in South Korea

BACKGROUND

Critical care unit (CCU) survivors have a high risk of developing mental illness.

AIMS

We aimed to examine the incidence and associated factors of newly developed mental illness among CCU survivors of critical illness. Moreover, we examined the association between newly developed mental illness and 2-year all-cause mortality.

METHOD

All adult patients (≥20 years) who were admitted to the CCU during hospitalisation between 2010 and 2018 and survived for 1 year were defined as CCU survivors and were included in this nationwide population-based cohort study. CCU survivors with a history of mental illness before CCU admission were excluded from the study.

RESULTS

A total of 1 353 722 CCU survivors were included in the analysis; of these, 33 743 survivors (2.5%) had newly developed mental illness within 1 year of CCU admission. Old age, longer CCU stay, hospital admission through the emergency room, increased total cost of hospitalisation, mechanical ventilatory support, extracorporeal membrane oxygenation support and continuous renal replacement therapy were associated with an increased incidence of newly developed mental illness. Moreover, the newly developed mental illness group showed a 2.36-fold higher 2-year all-cause mortality rate than the no mental illness group (hazard ratio: 2.36; 95% CI: 2.30-2.42; P < 0.001).

CONCLUSIONS

In South Korea, 2.5% of CCU survivors had newly developed mental illness within 1 year of CCU admission. Moreover, newly developed mental illness was associated with an increased 2-year all-cause mortality.

Incidence of mental health conditions following pediatric hospital admissions: analysis of a national database

Introduction

Despite increasing survival of children following hospitalization, hospitalization may increase iatrogenic risk for mental health (MH) disorders, including acute stress, post-traumatic stress, anxiety, or depression. Using a population-based retrospective cohort study, we assessed the rates of new MH diagnoses during the 12 months after hospitalization, including the moderating effects of ICU exposure.

Study design/methods

This was a retrospective case control study using the Truven Health Analytics insurance database. Inclusion criteria included children aged 3-21 years, insurance enrollment for >12 months before and after hospital admission. We excluded children with hospitalization 2 years prior to index hospitalization and those with prior MH diagnoses. We extracted admission type, ICD-10 codes, demographic, clinical, and service coordination variables from the database. We established age- and sex-matched cohorts of non-hospitalized children. The primary outcome was a new MH diagnosis. Multivariable regression methods examined the risk of incident MH disorder(s) between hospitalized and non-hospitalized children. Among hospitalized children, we further assessed effect modification from ICU (vs. non-ICU) stay, admission year, length of stay, medical complexity, and geographic region.

Results

New MH diagnoses occurred among 19,418 (7%) hospitalized children, 3,336 (8%) ICU-hospitalized children and 28,209 (5%) matched healthy controls. The most common MH diagnoses were anxiety (2.5%), depression (1.9%), and stress/trauma (2.2%) disorders. Hospitalization increased the odds of new MH diagnoses by 12.3% (OR: 1.123, 95% CI: 1.079-1.17) and ICU-hospitalization increased these odds by 63% (OR: 1.63, 95% CI: 1.483-1.79) as compared to matched, non-hospitalized children. Children with non-complex chronic diseases (OR: 2.91, 95% CI: 2.84-2.977) and complex chronic diseases (OR: 5.16, 95% CI: 5.032-5.289) had a substantially higher risk for new MH diagnoses after hospitalization compared to patients with acute illnesses.

Conclusion

Pediatric hospitalization is associated with higher, long-term risk of new mental health diagnoses, and ICU hospitalization further increases that risk within 12 months of the acute episode. Acute care hospitalization confers iatrogenic risks that warrant long-term mental and behavioral health follow-up.

The prevalence of mental frailty in ICU survivors and informal caregiver strain: A 1-year retrospective study of the Frisian aftercare cohort

Background

Intensive care unit (ICU) survivors often suffer from long-term mental problems and a reduced health-related quality of life (HRQoL). Symptoms of depression, anxiety, and post-traumatic stress disorder may render patients mentally frail post-ICU, resulting in impaired recovery and an increased informal caregiver burden. The aim of this study was to investigate the prevalence of mental frailty up to 12 months after ICU admission and pinpoint markers for early risk-assessment in clinical practice.

Methods

A retrospective cohort study (2012-2018) in which clinical and post-ICU data of long-stay (⩾48 h) ICU-patients was used. Mental frailty was identified as clinically relevant symptoms of depression, anxiety, or post-traumatic distress disorder at 12 months after discharge.

Results

The prevalence of mental frailty at 12 months post-ICU among the total group of 239 patients was 38%. Mental frailty was defined as clinically relevant symptoms of depression, anxiety, and/or trauma. To achieve this, previously validated cut off values were used for the HADS (HADS-Anxiety ⩾ 8; HADS-Depression ⩾ 8) and TSQ (⩾6), and CSI (⩾7).

Conclusion

A significant proportion of ICU-survivors can be identified as mentally frail, which is associated with impaired HRQoL at baseline and post-ICU, and high caregiver strain. These findings emphasize the need for integrative aftercare programs for both the patient and their informal caregivers.

Association of longitudinal platelet count trajectory with ICU mortality: A multi-cohort study

Objective

Platelet (PLT) engages in immune and inflammatory responses, all of which are related to the prognosis of critically ill patients. Although thrombocytopenia at ICU admission contributes to in-hospital mortality, PLT is repeatedly measured during ICU hospitalization and the role of longitudinal PLT trajectory remains unclear. We aimed to identify dynamic PLT trajectory patterns and evaluate their relationships with mortality risk and thrombocytopenia.

Methods

We adopted a three-phase, multi-cohort study strategy. Firstly, longitudinal PLT trajectory patterns within the first four ICU days and their associations with 28-day survival were tested in the eICU Collaborative Research Database (eICU-CRD) and independently validated in the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Secondly, the relationships among PLT trajectory patterns, thrombocytopenia, and 28-day mortality were explored and validated. Finally, a Mortality GRade system for ICU dynamically monitoring patients (Mortality-GRID) was developed to quantify the mortality risk based on longitudinal PLT, which was further validated in the Molecular Epidemiology of Acute Respiratory Distress Syndrome (MEARDS) cohort.

Results

A total of 35,332 ICU patients were included from three cohorts. Trajectory analysis clustered patients into ascending (AS), stable (ST), or descending (DS) PLT patterns. DS patients with high baseline PLT decline quickly, resulting in poor prognosis. AS patients have low baseline PLT but recover quickly, favoring a better prognosis. ST patients maintain low PLT, having a moderate prognosis in between (HRSTvsAS = 1.26, 95% CI: 1.14–1.38, P = 6.15 × 10−6; HRDSvsAS = 1.58, 95% CI: 1.40–1.79, P = 1.41 × 10−13). The associations remained significant in patients without thrombocytopenia during the entire ICU hospitalization and were robust in sensitivity analyses and stratification analyses. Further, the trajectory pattern was a warning sign of thrombocytopenia, which mediated 27.2% of the effects of the PLT trajectory on 28-day mortality (HRindirect = 1.11, 95% CI: 1.06–1.17, P = 9.80 × 10−6). Mortality-GRID well predicts mortality risk, which is in high consistency with that directly estimated in MEARDS (r = 0.98, P = 1.30 × 10−23).

Conclusion

Longitudinal PLT trajectory is a complementary predictor to baseline PLT for patient survival, even in patients without risk of thrombocytopenia. Mortality-GRID could identify patients at high mortality risk.

Risks of mental disorders among intensive care unit survivors: A nationwide cohort study in Taiwan

OBJECTIVE

This study aimed to investigate the risk of mental disorders among the intensive care unit (ICU) survivors compared with the hospitalized non-ICU and non-hospitalized patients.

METHOD

We extracted data from the Taiwanese National Health Insurance Research Database (NHIRD) to conduct a retrospective cohort study. Multivariate Cox proportional hazard regression models were used to analyze the data. Identified from the NHIRD, we matched 15,918 patients with ICU admissions, 63,672 patients without any inpatient admission (non-inpatient department [non-IPD] cohort), and 63,672 patients admitted to a general ward but not the ICU (non-ICU cohort). The patient records were extracted between the periods of 2000-2015 to identify any occurrence of mental disorders.

RESULTS

During the study period, the overall risk of mental disorder diagnosis was 1.68-fold higher in the ICU cohort than the non-IPD cohort (95% confidence interval (CI): 1.23-1.89, P < 0.001). Alternatively, there were no differences in risks for any mental disorders between the ICU and non-ICU cohorts.

CONCLUSION

Both admissions to the ICU and the general ward cohorts were associated with a higher risk of any mental disorders compared to the general population. Further clinical studies are warranted to confirm this association due to residual or unmeasured risk factors.

Unifying Diagnosis Identification and Prediction Method Embedding the Disease Ontology Structure From Electronic Medical Records

OBJECTIVE

The reasonable classification of a large number of distinct diagnosis codes can clarify patient diagnostic information and help clinicians to improve their ability to assign and target treatment for primary diseases. Our objective is to identify and predict a unifying diagnosis (UD) from electronic medical records (EMRs).

METHODS

We screened 4,418 sepsis patients from a public MIMIC-III database and extracted their diagnostic information for UD identification, their demographic information, laboratory examination information, chief complaint, and history of present illness information for UD prediction. We proposed a data-driven UD identification and prediction method (UDIPM) embedding the disease ontology structure. First, we designed a set similarity measure method embedding the disease ontology structure to generate a patient similarity matrix. Second, we applied affinity propagation clustering to divide patients into different clusters, and extracted a typical diagnosis code co-occurrence pattern from each cluster. Furthermore, we identified a UD by fusing visual analysis and a conditional co-occurrence matrix. Finally, we trained five classifiers in combination with feature fusion and feature selection method to unify the diagnosis prediction.

RESULTS

The experimental results on a public electronic medical record dataset showed that the UDIPM could extracted a typical diagnosis code co-occurrence pattern effectively, identified and predicted a UD based on patients' diagnostic and admission information, and outperformed other fusion methods overall.

CONCLUSIONS

The accurate identification and prediction of the UD from a large number of distinct diagnosis codes and multi-source heterogeneous patient admission information in EMRs can provide a data-driven approach to assist better coding integration of diagnosis.

Six-month and 12-month patient outcomes based on inflammatory subphenotypes in sepsis-associated ARDS: secondary analysis of SAILS-ALTOS trial

BACKGROUND

Prior acute respiratory distress syndrome (ARDS) trials have identified hypoinflammatory and hyperinflammatory subphenotypes, with distinct differences in short-term outcomes. It is unknown if such differences extend beyond 90 days or are associated with physical, mental health or cognitive outcomes.

METHODS

568 patients in the multicentre Statins for Acutely Injured Lungs from Sepsis trial of rosuvastatin versus placebo were included and assigned a subphenotype. Among 6-month and 12-month survivors (N=232 and 219, respectively, representing 243 unique survivors), subphenotype status was evaluated for association with a range of patient-reported outcomes (eg, mental health symptoms, quality of life). Patient subsets also were evaluated with performance-based tests of physical function (eg, 6 min walk test) and cognition.

FINDINGS

The hyperinflammatory versus hypoinflammatory subphenotype had lower overall 12-month cumulative survival (58% vs 72%, p<0.01); however, there was no significant difference in survival beyond 90 days (86% vs 89%, p=0.70). Most survivors had impairment across the range of outcomes, with little difference between subphenotypes at 6-month and 12-month assessments. For instance, at 6 months, in comparing the hypoinflammatory versus hyperinflammatory subphenotypes, respectively, the median (IQR) patient-reported SF-36 mental health domain score was 47 (33-56) vs 44 (35-56) (p=0.99), and the per cent predicted 6 min walk distance was 66% (48%, 80%) vs 66% (49%, 79%) (p=0.76).

INTERPRETATION

Comparing the hyperinflammatory versus hypoinflammatory ARDS subphenotype, there was no significant difference in survival beyond 90 days and no consistent findings of important differences in 6-month or 12-month physical, cognitive and mental health outcomes. These findings, when considered with prior results, suggest that inflammatory subphenotypes largely reflect the acute phase of illness and its short-term impact.

A pilot study of trained ICU doulas providing early psychological support to critically ill patients

Background

Over a third of critical illness survivors suffer from mental health problems following hospitalization. Memories of delusional experiences are a major risk factor. In this project, ICU doulas delivered a unique positive suggestion intervention targeting the vulnerable time period during critical illness when these memories are formed.

Methods

Adult critically ill patients were recruited for this single-arm, prospective pilot study. These ICU patients received a positive suggestion intervention daily during their ICU stay in parallel with their medical treatment. The intervention was designed to be delivered over a minimum of two sessions. Feasibility was defined as intervention delivery on ≥ 70% of ICU days after patient enrollment. As a secondary analysis, psychometric questionnaires were compared to those of a historic control cohort of patients receiving standard care in the ICU using adjusted linear regression models.

Results

Of the 97 patients who received the intervention and were alive at the end of their ICU course, 54 were excluded from analyses mostly for having received only one session because of a short ICU length of stay of < 2 days, transitioning to comfort care or not wanting to answer the study questionnaires. Forty-three patients who completed 2 or more sessions of the positive therapeutic suggestion intervention provided by two trained ICU doulas received it for a median of 4 days (IQR 3, 5), with each session lasting for a median of 20 min (IQR 14, 25). The intervention was delivered on 71% of days, meeting our pre-determined feasibility goal. Compared to historical controls (N = 299), patients receiving the intervention had higher severity of illness and longer length of stay. When adjusted for baseline differences, patients both with and without mechanical ventilation who received the intervention scored lower on the Hospital Anxiety and Depression Scale (HADS)—Depression subscale. The intervention was also associated with reduced HADS-Anxiety subscale among ventilated patients.

Conclusions

Positive therapeutic suggestion delivered by ICU doulas is feasible in the ICU setting. A randomized trial is warranted to better delineate the role that positive suggestion and ICU doulas may play in ongoing interprofessional efforts to humanize critical care medicine.

The study was registered on clinicaltrials.gov (NCT03736954) on 03/14/2018 prior to the first patient enrollment https://clinicaltrials.gov/ct2/show/NCT03736954?cond=ICU+Doulas+Providing+Psychological+Support&draw=2&rank=1.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13054-021-03856-3.

Posttraumatic stress phenomena in critical illness and intensive care survivors

The intensive care unit (ICU) within a hospital is typically thought of as a place for the provision of patient care for a life-threatening emergency. Less frequently do we consider it an integral part of disaster response. The COVID-19 pandemic is a public health disaster that has caused surges of critically ill patients requiring treatment in intensive care units (ICUs). However, it is important to bear in mind that survival of a critical illness can come at a cost, including to mental health. Being critically ill and requiring life-saving treatments is extremely stressful, and survivors frequently have substantial decrements in physical functioning, cognition, and emotional health. Remarkably, one in five critical illness survivors has clinically significant symptoms of posttraumatic stress disorder (PTSD). Risk factors, or markers of risk, include prior anxiety and depression, high doses of sedative medications in the intensive care unit (ICU), memories of nightmare-like experiences in the ICU, and emotional distress in early recovery. As with PTSD in other contexts, social support is a protective factor. ICU follow-up clinics, in-ICU psychological interventions, ICU diaries, post-ICU telephonic and computer-based cognitive-behavioral interventions, and virtual reality interventions all show promise in preventing long-term PTSD in critical illness survivors, perhaps particularly in those with substantial emotional distress in early recovery. However, awareness regarding this problem is still growing, as are changes to post-ICU care delivery. Hopefully, improved awareness on the part of the psychiatric community will help with recovery from the COVID-19 pandemic disaster.

The 5-year pre- and post-hospitalization treated prevalence of mental disorders and psychotropic medication use in critically ill patients: a Canadian population-based study

PURPOSE

The interplay between critical illness and mental disorders is poorly understood. The purpose of this study is to measure both the treated prevalence of mental disorders and psychotropic medication use before and after hospitalization and the impact of intensive care unit (ICU) admission on these outcomes.

METHODS

Using a population-based administrative database in Manitoba, Canada, 49,439 ICU patients admitted between 2000 and 2012 were compared to two matched comparison groups (hospitalized; n = 146,968 and general population; n = 141,937). Treated prevalence of mental disorders and psychotropic medication prescriptions were measured in the 5-year periods before and after the hospitalization. Multivariable models compared adjusted prevalence ratios (APRs) between populations.

RESULTS

The 5-year treated mental disorder prevalence in the ICU population increased from 41.5% pre-hospitalization to 55.6% post-hospitalization. Compared to non-ICU hospitalized patients, the adjusted treated mental disorder prevalence in ICU patients was lower prior to hospitalization (1-year APR 0.94, 95% CI 0.92-0.97, p < 0.0001; 5-year APR 0.99, 95% CI 0.98-1.00, p = 0.1), but higher following discharge (1-year APR 1.08, 95% CI 1.05-1.11, p < 0.0001, 5-year APR 1.03, 95% CI 1.01-1.05, p < 0.0001). A high proportion of ICU patients received antidepressant, anxiolytic and sedative-hypnotic prescriptions before and after their hospitalization. In multivariable analyses, ICU exposure was associated with an increase in mood, anxiety and psychotic disorders, and sedative-hypnotics use (p < 0.0001 for all Time × Group interactions).

CONCLUSIONS

During the 5 years after admission to ICU, there is a significant increase in treated prevalence of mental disorders and psychotropic medication use compared to the 5 years prior to ICU and compared to general population and hospital cohorts. Prevention and intervention programs that identify and treat mental disorders among survivors of critical illness warrant further study.

ICU survivorship: What PAs need to know

ABSTRACT

The number of people surviving critical illnesses is larger than ever. Many of these patients will rely on physician assistants (PAs) to facilitate their care after discharge from the ICU. As a result, PAs must be able to recognize and treat the numerous short- and long-term challenges this vulnerable population faces, especially given the recent surge of critically ill patients resulting from the COVID-19 pandemic.

Suicide and self-harm in adult survivors of critical illness: population based cohort study

OBJECTIVE

To analyse the association between survival from critical illness and suicide or self-harm after hospital discharge.

DESIGN

Population based cohort study using linked and validated provincial databases.

SETTING

Ontario, Canada between January 2009 and December 2017 (inclusive).

PARTICIPANTS

Consecutive adult intensive care unit (ICU) survivors (≥18 years) were included. Linked administrative databases were used to compare ICU hospital survivors with hospital survivors who never required ICU admission (non-ICU hospital survivors). Patients were categorised based on their index hospital admission (ICU or non-ICU) during the study period.

MAIN OUTCOME MEASURES

The primary outcome was the composite of death by suicide (as noted in provincial death records) and deliberate self-harm events after discharge. Each outcome was also assessed independently. Incidence of suicide was evaluated while accounting for competing risk of death from other causes. Analyses were conducted by using overlap propensity score weighted, cause specific Cox proportional hazard models.

RESULTS

423 060 consecutive ICU survivors (mean age 61.7 years, 39% women) were identified. During the study period, the crude incidence (per 100 000 person years) of suicide, self-harm, and the composite of suicide or self-harm among ICU survivors was 41.4, 327.9, and 361.0, respectively, compared with 16.8, 177.3, and 191.6 in non-ICU hospital survivors. Analysis using weighted models showed that ICU survivors (v non-ICU hospital survivors) had a higher risk of suicide (adjusted hazards ratio 1.22, 95% confidence interval 1.11 to 1.33) and self-harm (1.15, 1.12 to 1.19). Among ICU survivors, several factors were associated with suicide or self-harm: previous depression or anxiety (5.69, 5.38 to 6.02), previous post-traumatic stress disorder (1.87, 1.64 to 2.13), invasive mechanical ventilation (1.45, 1.38 to 1.54), and renal replacement therapy (1.35, 1.17 to 1.56).

CONCLUSIONS

Survivors of critical illness have increased risk of suicide and self-harm, and these outcomes were associated with pre-existing psychiatric illness and receipt of invasive life support. Knowledge of these prognostic factors might allow for earlier intervention to potentially reduce this important public health problem.

System of Psychological Support Based on Positive Suggestions to the Critically Ill Using ICU Doulas

Background:

Surviving critical illness often creates a lasting psychological impact, including depression, anxiety, and post-traumatic stress. Memories of frightening and delusional experiences are the largest potentially modifiable risk factor, but currently, there is no proven intervention to improve these inciting factors. Psychological support based on positive suggestion is a psychotherapeutic approach that can be provided even to patients in altered cognitive states and is therefore a viable psychotherapy intervention throughout the ICU stay. Traditional ICU care team members have limited time and training to provide such psychological support to patients. Doulas are trained supportive companions who have been effectively used to provide patient advocacy and emotional support in other clinical settings and may address this need. Our aim was to train and implement a psychological support based on positive suggestion program for the critically ill using doulas, and measure acceptance of this intervention through stakeholder feedback.

Methods:

Doula training included three objectives: an introduction to ICU practice structure and policies; education about fundamental aspects of critical care conditions and procedures; and didactic and hands-on learning experiences in effective use of psychological support based on positive suggestion in the critically ill. Doulas were evaluated at the end of their training and during subsequent clinical activities using competency-based assessments as well as through survey-based questions and interviews with key stakeholders.

Results:

The ICU doulas performed psychological support based on positive suggestion on 43 critically ill patients in the ICU setting. Stakeholder feedback from nurses, patients, and patient families was positive. The majority (28/32) of surveyed bedside ICU nurses reported that the doulas’ involvement was helpful for both patients and nurses alike. All interviewed family members offered positive comments about the ICU doula presence and of the 40 patients who recalled the intervention 37 found it comforting.

Conclusions:

Our program successfully trained two doulas to work effectively in the ICU setting performing patient-centered psychological support based on positive suggestion interventions. Their training improved their skill sets and was reported as beneficial by patients, families, and critical care nursing. This training program offers a proof of concept that could be applied in other medical centers, bringing doulas more commonly into the ICU practice to help humanize the experience for patients, families, and medical teams.